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Publicly available electric vehicle (EV) infrastructure is pivotal for the United States EV transition by 2030. Existing infrastructure lacks equitably distribution to low-income and underrepresented communities, impeding mass adoption. Our study, utilizing 2021 micro-level data from 121 million United States households, comprehensively examines income and racial disparities in EV infrastructure accessibility. Our analysis of national averages indicates that lower-income groups face less accessibility to public EV infrastructure in both urban and rural geographies. Black households experience less rural accessibility, but greater urban accessibility compared to White households conditioning on income. However, our localized analysis uncovers significant variations in accessibility gaps among counties, rural and urban settings, and dwelling types. While Black households experience greater urban accessibility nationally, a closer look at the county level reveals diminishing advantages. This study identifies areas with pronounced inequality and urgent needs for enhanced accessibility, emphasizing the necessity for tailored solutions by local governments to enhance equitable access to EV infrastructure. This paper finds that on average lower-income groups encounter reduced accessibility to public EV infrastructure in urban and rural areas. Black households have less rural accessibility, but greater urban accessibility compared to White households. [ABSTRACT FROM AUTHOR]

While the market for medium- and heavy-duty battery-electric vehicles (MHD EVs) is still nascent, a growing number of these vehicles are being deployed across the U.S. This study used over 2.3 million miles of operational data from multiple types of MHD EVs across various regions and operating conditions to address knowledge gaps in total cost of ownership and operational range. First, real-world energy cost savings were determined: MHD fleets should experience energy cost savings each year from 2021 to 2035, regardless of vehicle platform, with the greatest savings seen in transit buses (up to USD 4459 annually) and HD trucks (up to USD 3284 annually). Second, to help fleets across various geographies throughout the U.S. assess the suitability of EVs for their year-round operating needs, operational range was modeled using the XGBoost algorithm (R2: 70%) given 22 input features relevant to vehicle efficiency. Finally, this paper recommends (1) that MHD fleets apply energy-saving practices to minimize the impacts of cold temperatures and high congestion levels on vehicle efficiency and range, and (2) that local hauling fleets select trucks with a nominal range nearly double the expected maximum daily range to account for range losses under local, urban driving conditions. [ABSTRACT FROM AUTHOR]

This paper provides the first empirical analysis of the homeowner-renter gap for electric vehicles. Using newly-available U.S. nationally representative data, the analysis shows that homeowners are three times more likely than renters to own an electric vehicle. The gap is highly statistically significant, and remains even after controlling for income. For example, among households with annual income between $75,000 and $100,000, 1 in 130 homeowners owns an electric vehicle, compared to 1 in 370 renters. Additional controls do little to narrow the gap. The paper argues that this is a version of what economists have called the "landlord-tenant" problem, and briefly discusses potential policy implications. [ABSTRACT FROM AUTHOR]

The prospect for electric vehicles as a climate change solution hinges on their ability to reduce gasoline consumption. But this depends on how many miles electric vehicles are driven and on how many miles would have otherwise been driven in gasoline-powered vehicles. Using newly-available U.S. nationally representative data, this paper finds that electric vehicles are driven considerably fewer miles per year on average than gasoline-powered vehicles. The difference is highly statistically significant and holds for both all-electric and plug-in hybrid vehicles, for both single- and multiple-vehicle households, and both inside and outside California. The paper discusses potential explanations and policy implications. Overall, the evidence suggests that today's electric vehicles imply smaller environmental benefits than previously believed. [ABSTRACT FROM AUTHOR]

The increase in electric vehicles as a low‐carbon mobility option has driven interest from many workplaces and local governments to offer charging services for employees, customers and visitors. However, the lack of incentives to limit over‐consumption in shared charging resources has led to congestion issues. In this paper, we use high‐frequency data to study two deterrence mechanisms implemented at one of the largest workplace charging programs in the United States. We study both price and nonprice interventions that encourage adoption of workplace norms and charging etiquette for resource sharing in charging stations. To study these mechanisms, we use a dynamic regression discontinuity design to separately identify treatment effects with digital platform data. Our findings provide new evidence that group norms can play an important role in driving behavioral compliance when setting EV access policies. We also find that workplace norms are complements to dynamic pricing policies. We discuss the implications of this data discovery for the effective management of common pool resources in the context of workplace charging and space‐constrained environments. This article met the requirements for a Gold‐Gold JIE data openness badge described at http://jie.click/badges. [ABSTRACT FROM AUTHOR]

This is a viewpoint paper that compares the psychological and behavioral characteristics of electric vehicle (EV) owners in the United States and China. EV is viewed as the dominant next wave of automotive technology and this research is a cross‐cultural study of the two most important automotive markets in the world. In particular, this study surveyed actual EV users in the United States and China, and compared their psychological and behavioral characteristics. The study also shows that motivation for EV usage, reasons for purchase, and satisfaction are different across the two countries. US owners showed a higher propensity to innovate and greater knowledge of EVs than Chinese owners. Even though there was no difference between the two groups in terms of environmental concern, Chinese owners cited reputation and signaling social responsibility as being important considerations in their purchase of an EV, while US owners cited technological innovativeness, driving pleasure, and lower maintenance cost. Satisfaction with EV ownership was affected by economic benefit and environmental concern in China and innovation in the United States. This study shows how culture and stage of motorization are reflected in consumer behavior and satisfaction regarding EVs. EV manufacturers need to be aware of these differences when targeting the two markets. [ABSTRACT FROM AUTHOR]

Nearly all global players in the auto industry are now producing electric vehicles (EV). Many studies indicated that by year 2020, 6 millions could be sold in US alone and about 11 million worldwide. As the number of EVs increases, there is need to have well-defined end-of-life (EOL) strategy for the batteries removed from EVs as part of collective efforts to transform the auto industry to environmental friendly industry. Recycling has been proposed as the EOL option for the EV batteries, but there are many issues that make recycling less justifiable, this paper lays out those issues and proposes remanufacturing as the alternate and appropriate EOL option. In view of this, the paper details research issues which require thorough studies to make EV batteries remanufacturing feasible and effective. [ABSTRACT FROM AUTHOR]

The main objective of this paper is, based on the theory of complex systems (Arthur, 2009), to reconstruct the inventive activity of lead-acid batteries used in electric vehicles. Based on the information from the United States Patent and Trademark Office (USPTO) database, and based on the methodology developed by Strumsky and Lobo (2015), it is possible to represent different degrees of inventive novelty (origination, new combination, recombination and reuse), as well as measuring the increasing technological complexity of lead-acid batteries. Evidence shows that the lead-acid battery is an increasingly complex technology. It is a rival technology but is also complementary to the nickel-metal-hydride and lithium-ion batteries used by electric and hybrid vehicles. [ABSTRACT FROM AUTHOR]

This study applied a synthetic control method (SCM) to investigate the impacts of state electric vehicle purchase incentives implemented in the United States between 2011 and 2018. The goal was to develop a model to replicate the impacts of PEV (plug-in electric vehicle) incentives on vehicle sales given the socio-economic characteristics of the treatment states. The goodness-of-fit between trajectories reproduced by SCM and the corresponding treatment region provides a clear means of visualizing the effectiveness of the model and results. For example, the results show that Georgia income tax credits appear to have induced 17,000 BEV (battery electric vehicle) sales between January 2011 and July 2015. The SCM analysis was also applied to other states, showing that the SCM methodology can represent PEV sales in many states in the United States. Accordingly, the modeling results suggest that incentives implemented in some U.S. states were effective in promoting PEV sales. The study also concluded that the SCM with a weighting factor between 0 and 1 (i.e., extrapolation avoided) may not be the approach of a choice for the states whose demographic/economic attributes significantly deviate from the control regions, or the states that implement "unique" programs, because there are insufficient system data for counterfactual analysis. [ABSTRACT FROM AUTHOR]

Problem definition: By providing an environmentally friendly alternative to traditional vehicles, electric vehicles will transform urban mobility, particularly in smart cities. In practice, after an electric vehicle is plugged in, the charging station completes charging as soon as possible. Given that the procurement cost of electricity and associated emissions vary significantly during a day, substantial savings can be achieved by smart charging—delaying charging until the cost is lower. In this paper, we study smart charging as an innovative business model for utility firms. Academic/practical relevance: Utility firms are already investing in charging stations, and they can achieve significant cost savings through smart charging. Methodology: We consider a mechanism design problem in which a utility firm first announces pairs of charging price and completion time. Then, each customer selects the pair that maximizes their utility. Given the selected completion times, the utility firm solves the optimal control problem of determining the charging schedule that minimizes the cost of charging under endogenous, time-varying electricity procurement cost. We assume that there are ample parking spots with chargers at the charging station. Results: We devise an intuitive and practically implementable policy for scheduling charging of electric vehicles under given completion times. We prove that this policy is optimal if all customers arrive at the station simultaneously. We also characterize the optimal pairs of charging price and completion time. By using real electricity demand and generation data from the largest electricity market in the United States, we find that cost and emissions savings from smart charging are approximately 20% and 15%, respectively, during a typical summer month. Managerial implications: In contrast to the current practice of charging vehicles without delay, we show that it is economically and environmentally beneficial to delay charging some vehicles and to set charging prices based on customers' inconvenience cost of delays. We also find that most of the savings from implementing smart charging can be achieved during peak-demand days, highlighting the effectiveness of smart charging. [ABSTRACT FROM AUTHOR]

Electric vehicles (EVs) are a growing part of the passenger vehicle industry due to improved technology, customer interest in reducing carbon footprints, and policy incentives. EV batteries are the key determinant of both the range and cost of the vehicle. This paper explains the importance of EV batteries, describes the structure of the EV battery supply chain, examines current limitations in trade data for EV batteries, and estimates the value added to EV batteries for EVs sold in the United States. [ABSTRACT FROM AUTHOR]

The seamless adoption of electric vehicles (EVs) in the United States necessitates the development of extensive and effective charging infrastructure. Various charging systems have been proposed, including Direct Current Fast Charging, Battery Swapping, and Dynamic Wireless Power Transfer. While many studies have evaluated the charging costs and greenhouse gas (GHG) intensity of EVs, a comprehensive analysis comparing these systems and their implications across vehicle categories remains unexplored. This study compares the total cost of ownership (TCO) and GHG-intensity of EVs using these charging systems. Based on nationwide infrastructure deployment simulations, the change to TCO from adopting EVs varies by scenario, vehicle category, and location, with local fuel prices, electricity prices, and traffic volumes dramatically impacting results. Further, EV GHG-intensity depends on local electricity mixes and infrastructure utilizations. This research highlights the responsiveness of EV benefits resulting from technology advancements, deployment decisions, and policymaking. Results show meaningful variations in electric vehicle costs and emissions benefits across the United States, differing by vehicle category and charging systems: Direct Current Fast Charging, Battery Swapping, and Dynamic Wireless Power Transfer. [ABSTRACT FROM AUTHOR]

A Life Cycle Assessment (LCA) quantifies the environmental impacts during the life of a product from cradle to grave. It evaluates energy use, material flow, and emissions at each stage of life. This report addresses the challenges and potential solutions related to the surge in electric vehicle (EV) batteries in the United States amidst the EV market's exponential growth. It focuses on the environmental and economic implications of disposal as well as the recycling of lithium-ion batteries (LIBs). With millions of EVs sold in the past decade, this research highlights the necessity of efficient recycling methods to mitigate environmental damage from battery production and disposal. Utilizing a Life Cycle Assessment (LCA) and Life Cycle Cost Assessment (LCCA), this research compares emissions and costs between new and recycled batteries by employing software tools such as SimaPro V7 and GREET V2. The findings indicate that recycling batteries produces a significantly lower environmental impact than manufacturing new units from new materials and is economically viable as well. This research also emphasizes the importance of preparing for the upcoming influx of used EV batteries and provides suggestions for future research to optimize the disposal and recycling of EV batteries. [ABSTRACT FROM AUTHOR]

The United States consumes more petroleum-based liquid fuel per capita than any other OECD high-income country―30 percent more than the second-highest country (Canada) and 40 percent more than the third-highest (Luxembourg). The transportation sector accounts for 70 percent of U.S. oil consumption and 30 percent of U.S. greenhouse gas emissions. Taking the externalities associated with high U.S. gasoline consumption as largely given, I focus on understanding the policy tools that seek to reduce this consumption. I consider four main channels through which reductions in U.S. oil consumption might take place: 1) increased fuel economy of existing vehicles, 2) increased use of non-petroleum-based, low-carbon fuels, 3) alternatives to the internal combustion engine, and 4) reduced vehicle miles traveled. I then discuss how these policies for reducing petroleum consumption compare with the standard economics prescription for using a Pigouvian tax to deal with externalities. Taking into account that energy taxes are a political hot button in the United States, and also considering some evidence that consumers may not 'correctly' value fuel economy, I offer some thoughts about the margins on which policy aimed at reducing petroleum consumption might usefully proceed. [ABSTRACT FROM AUTHOR]

Background: Interest in hybrid-electric vehicles (HEVs) has recently spiked, partly due to an increasingly negative view toward the U.S. foreign oil dependency and environmental concerns. Though HEVs are becoming more common, they have a significant price premium over gasoline-powered vehicles. One of the primary drivers of this "hybrid premium" is the cost of the vehicles' batteries. This paper focuses on these batteries used in hybrid vehicles, examines the types of batteries used for transportation applications and addresses some of the technological, environmental and political drivers in battery development and the deployment of HEVs. Methods: This paper examines the claim, often voiced by HEV proponents, that by taking into account savings on gasoline and vehicle maintenance, hybrid cars are cheaper than traditional gasoline cars. This is done by a quantitative benefit-cost analysis, in addition to qualitative benefit-cost analysis from political, technological and environmental perspectives. Results: The quantitative benefit-cost analysis shows that, taking account of all costs for the life of the vehicle, hybrid cars are in fact more expensive than gasoline-powered vehicles; however, after five years, HEVs will break even with gasoline cars. Conclusions: Our results show that it is likely that after 5 years, using hybrid vehicles should be cheaper in effect and yield a positive net benefit to society. There are a number of externalities that could significantly impact the total social cost of the car. These externalities can be divided into four categories: environmental, industrial, R&D and political. Despite short-term implications and hurdles, increased HEV usage forecasts a generally favorable longterm net benefit to society. Most notably, increasing HEV usage could decrease greenhouse gas emissions, while also decreasing U.S. dependence on foreign oil. [ABSTRACT FROM AUTHOR]

This paper investigates the fuel consumption minimization problem of a blended-mode plug-in hybrid electric vehicle (PHEV). A simplified mathematical model of the PHEV was constructed to obtain optimal solutions for depleting the battery to a given final state of charge (SOC) under constant vehicle speed. An optimal power strategy was constructed from theoretical analysis and simulation for constant speed cases and then applied to typical drive-cycle simulations for a middle-size plug-in sport utility vehicle in the Urban Dynamometer Driving Schedule, the U.S. Environmental Protection Agency US06 (Supplemental Federal Test Procedure), and the CR-City drive cycles. Simulation results indicate that the proposed control strategy is more efficient than other strategies of interest. Only the electric system loss characteristics, vehicle power demand, total battery energy, and trip distance are needed to implement the proposed control strategy in a PHEV. It does not rely on the detailed trip information other than the total trip distance. Therefore, it is possible to implement the control strategy in real time if the total trip distance is known before the trip. [ABSTRACT FROM PUBLISHER]

In the United States, millions of electric and hybrid vehicles have cumulatively been sold. Although the batteries in these vehicles are expected to last at least 8 years, end-of-life options must still be considered. There are several possible options for battery packs from electric vehicles when they reach end-of-life, including remanufacturing, repurposing for a different application, and recycling. Remanufacturing is the most desirable end-of-life scenario but is the most stringent in terms of battery quality. Recycling is less desirable because there are larger material and energy losses that occur in the process. Repurposing batteries for a different use lies between these two scenarios in terms of desirability. This review paper focuses on non-automotive reuse and explores several options for using electric car battery packs in grid energy storage applications. [ABSTRACT FROM AUTHOR]

Thousands of public hydrogen fueling stations are needed to support the early Fuel Cell Electric Vehicle (FCEV) market in the U.S.; as of July 2014 there were 12. Government agencies are the largest investors in the U.S. hydrogen fueling infrastructure and are developing stations that cost anywhere from $1.8–$5.9 million each. To attract private investors and decrease dependence on government funding, a low-cost, mobile hydrogen dispensing system must be developed. This paper describes a transportable 700 bar hydrogen fueling station that has been designed with an off-the-shelf component cost of $423,000; less than 23% of the capital cost of current stations. The design utilizes liquid hydrogen storage and a novel cryogenic compression system which can be factory built for high volume, rapid production. These stations are contained in a standard 40 foot ISO shipping container to adapt to varying locational demand. The demand adjusted cost to sell hydrogen is estimated to be $9.62/kg. This paper presents the mechanical design and operation of the fueling station. This design won the grand prize for the 2014 Hydrogen Student Design competition and a complete report including an economic analysis and safety features is available elsewhere. [ABSTRACT FROM AUTHOR]

This paper presents the results of calculations of the wheel angles and the drive wheel speeds to ensure that the steering effect of the wheel angles and the steering effect of the speeds of the drive wheels are identical. These calculations are general insofar as the centre of curvature of the path of the centre of the vehicle can lie anywhere in the ‘horizontal’ plane, including within the plan view of the vehicle. These minimal turning circles at times require large wheel angles and large differences in the drive wheel speeds. When the driver selects a centre of curvature inside the rectangle defined by the wheelbase and the track, problems arise owing to the multiple solutions of the arctan function. This problem is solved so that flipping of the wheels through 180° is avoided. Similar problems can arise in the calculation of the correct wheel speed because of the ambiguity of the square root function, which has both positive and negative roots. This problem is also solved. Alternative driver interfaces are described in detail. Vehicles with cooperative redundant multiple steering systems promise safety benefits relative to vehicles with a single non-redundant steering system and environmental benefits relative to vehicles with conflicting redundant multiple steering systems. The safety benefits result from increased traction, stability and manoeuvrability (especially on hills). The environmental benefits include reduced ground damage, tyre wear and fuel wastage on turning. These vehicles would be used to best advantage as extreme off-road vehicles. The general case of vehicles described is capable of both pure rotation and pure translation in any direction, and all motion in between. This maximized manoeuvrability also makes the system ideal for vehicles operating in confined spaces, such as forklift trucks. [ABSTRACT FROM PUBLISHER]

Battery-based electric vehicles (BEVs) in the United States (U.S.) set a new sales record in 2022, driven by technology, policy, environmental, and economic objectives. However, the rapid deployment of BEVs and charging infrastructure without a careful review of their integration with the electric grid can have negative economic impacts on reliable and resilient electricity supply. Bi-directional power transfer (Bi-Di) vehicle-grid integration technologies and services such as vehicle-to-home or building (V2H/B) and vehicle-to-grid (V2G) can potentially lower local and system peak demand, improve economics for grid operators, and benefit BEV customers. Original equipment manufacturers (OEMs) in the automotive industry are exploring technologies and economics (techno-economics) for Bi-Di services. The study conducted a literature review of eleven case studies in the U.S. and Europe that featured Bi-Di demonstrations from 2005 to 2022 to highlight insights and techno-economic opportunities and challenges for OEMs. The findings should motivate the OEMs to prioritize technology innovation and business models to increase BEV sales and gain continuous revenue from Bi-Di services, which can potentially transition "car makers" to "technology solution" companies. [ABSTRACT FROM AUTHOR]

Transportation accounts for about 30% of the total greenhouse gas (GHG) emissions in the United States. To reduce GHG emissions, significant changes in the transportation fleet have been considered, with electric vehicles as one of the alternatives that could potentially reduce GHG emissions. This paper presents a comprehensive lifecycle emission and cost comparison among electric vehicles. Hybrid electric vehicles (HEV), plug in hybrid electric vehicles (PHEV), full battery electric vehicles (EVs), hydrogen fuel cell electric vehicles (FCEVs) are compared with gasoline vehicle as the base case. Since the selection among these electric vehicles depends on several factors, external costs of emission, fuel, time loss, charging time loss and maintenance cost are considered. The results show that the most environmentally benign vehicles in terms of GHG emission are FCEV and full EVs, which is approximately half of the emission by Internal combustion Engine (ICE) vehicles. The results also show that both FCVs and EVs have better air quality related emission reduction compared to ICE vehicle which results in approximately accounts for 84% reduction. The lifecycle cost results show that HEVs have the lowest lifecycle cost among all the selected vehicles, with the cost of $0.38 per mile. In addition, the effect of Carbon damage cost on total lifecycle cost is investigated. The results show that an increase in Carbon damage cost results in the penetration of HEVs and EVs to the market share. Image 1 • To calculate the lifecycle emission and lifecycle cost of EVs. • To conduct a sensitivity analysis with several important parameters such as annual travel mile and carbon damage cost. • To determine the state based optimal selection of electric vehicles and their comparisons. • Consideration of two scenarios for optimal selection of EVs in the US (i.e., one for current condition and 2030 projection). [ABSTRACT FROM AUTHOR]

• Free-floating car sharing (FFCS) is studied through booking data in 12 cities. • Rental times are compared with travel times for alternative modes. • Rental times are often longer than biking times. • Public transport is often slower but the time gain with FFCS is not always that large. • Usage patterns differ between electric and conventional vehicles, but the spread is large. Free-floating car-sharing (FFCS) allows users to book a vehicle through their phone, use it and return it anywhere within a designated area in the city. FFCS has the potential to contribute to a transition to low-carbon mobility if the vehicles are electric, and if the usage does not displace active travel or public transport use. The aim of this paper is to study what travel time and usage patterns of the vehicles among the early adopters of the service reveal about these two issues. We base our analysis on a dataset containing rentals from 2014 to 2017, for 12 cities in Europe and the United States. For seven of these cities, we have collected travel times for equivalent trips with walking, biking, public transport and private car. FFCS services are mainly used for shorter trips with a median rental time of 27 min and actual driving time closer to 15 min. When comparing FFCS with other transport modes, we find that rental times are generally shorter than the equivalent walking time but longer than cycling. For public transport, the picture is mixed: for some trips there is no major time gain from taking FFCS, for others it could be up to 30 min. For electric FFCS vehicles rental time is shorter and the number of rentals per car and day are slightly fewer compared to conventional vehicles. Still, evidence from cities with an only electric fleet show that these services can be electrified and reach high levels of utilization. [ABSTRACT FROM AUTHOR]

This paper proposes methodologies to estimate the electric energy and power consumption by light-duty plug-in electric vehicles (PEVs). Using the travel patterns of light-duty vehicles in the U.S. obtained from the 2009 National Household Travel Survey, the PEVs' energy and power consumption are estimated for two uncontrolled charging scenarios. [ABSTRACT FROM PUBLISHER]

• Transportation of EoL lithium-ion traction batteries at EoL is under examined. • Cost estimates of transportation vary widely. Key assumptions are often unspecified. • To reduce burdens of EoL transport, optimize siting of collection and recycling. • Accurate testing of state-of-health prior to transportation increases efficiency. • Research on EoL transport should be place-specific to improve accuracy and sustainability. The market for electric vehicles (EVs) has grown exponentially over the past decade, largely driven by ambitious sales targets in regions around the world. At end-of-life (EoL), these batteries must be managed properly to maximize reuse and recycling, which requires an efficient and safe collection and transportation system; however, the logistics of transporting EoL batteries are rarely examined in depth in scholarly research. In this paper, we conduct a critical review of the peer-reviewed literature on EV traction battery reuse and recycling to assess how transportation is represented. We find that among 60 studies identified, 70% mentioned collection and transportation as a challenge to battery reuse or recycling, and 63% identified a need for policy or further research related to collection and transportation. Among 17 papers that focus on cost, estimates for transportation costs vary widely among studies, from more than five dollars per kg to less than 30 cents, representing, on average, 41% of the total cost of recycling. Studies that examined the environmental impact of EoL transportation suggest it contributes 1–3.5% of life cycle GHG emissions for a recycled battery. In response to the limited and highly variable treatment of battery EoL transportation, the literature review is followed by contextual information about the United States, including the regulatory framework and existing network for EoL batteries. Recommendations for future study include place-specific research on optimal facility siting that considers both existing and projected infrastructure, and which reflects costs and environmental and social impacts at local scales. [Display omitted] [ABSTRACT FROM AUTHOR]

The impact of international trade on greenhouse gas (GHG) emissions has primarily been viewed through the lens of emissions embodied in goods, which flow from lower-income to higher-income countries. This trade has been interpreted as allowing the high-income countries to shirk their responsibilities to address the global climate challenge by offshoring emissions. However, international trade may also have an impact on climate through flows from higher-income to lower-income countries, particularly long-lived capital and durable goods that have the potential to avoid future emissions. Given the innovation resources concentrated in higher-income countries and their historic domination of trade in such long-lived goods, this concept may balance the scales to some degree. This paper briefly develops the concept of future avoided emissions and illustrates it with the empirical case of the United States' trade in battery electric vehicles (BEVs) from 2017 to 2020. • Trade in capital goods may reduce future emissions in importing countries. • Such trade may balance trade in goods that embody emissions. • Trade in BEVs is an example, reducing future emissions from conventional cars. • A case study of US BEV trade reveals a surplus in future avoided emissions. [ABSTRACT FROM AUTHOR]

Electric vehicle (EV) charging infrastructure is present all over the United States, but charging prices vary greatly, both in amount and in the methods by which they are assessed. For this paper, we interpret and analyze charging price information from PlugShare, a crowd-sourced EV charging data platform. Because prices in these data exist in a semi-structured textual format, an ad hoc text mining approach is used to extract quantitative price information. Descriptive analytics of the processed dataset demonstrate how the prices of EV charging vary with charging level (Direct Current Fast Charging versus Level 2), geographic location, network provider, and location type. Our research indicates that a great deal of diversity and flexibility exists in structuring the prices of EV charging to enable incentives for shaping charging behaviors, but that it has yet to be widely standardized or utilized. Comparisons with estimates of the levelized cost of EV charging illustrate some of the challenges associated with operating and using these stations. [ABSTRACT FROM AUTHOR]

The intersection of autonomous vehicles, ride sharing and transportation electrification could have significant implications for electric utilities. This paper analyses how the development of shared autonomous electric vehicles may make electrified transportation more likely and why this may lead to a more rapid than expected shift in the current transportation paradigm. We also discuss how these trends may affect utilities and suggest what they can do to prepare for the transition. [ABSTRACT FROM AUTHOR]

• Battery sorting can help maximize the concentration of cobalt-rich batteries in recycling feedstock. This can increase profitability for recyclers and drive investment in additional recycling capacity. • The greater availability of high cobalt batteries from consumer electronics between 2022 and 2030 before more nickel-rich EV batteries enter the recycling feedstock stream can represent a strong profit incentive for early recyclers. • The benefits of battery sorting for cobalt and nickel recovery rates can outweigh some variations in recycling plant operating costs or process yield. The United States has identified several lithium-ion battery materials as critical for reaching the national emission reduction targets that have been set in accordance with the 2015 Paris Agreement. However, with few natural resources available domestically, there is a rapidly growing focus on the development of a domestic recycling industry to recover these materials from end-of-life batteries. In this paper, we use the Lithium-Ion Battery Resources Assessment (LIBRA) system dynamics model to evaluate the impact of automated battery sorting technology in terms of the shares of cobalt and nickel that are recovered through recycling. Findings show that automated sorting has clear benefits over manual sorting methods by helping recyclers selectively process high-cobalt batteries. By maximizing cobalt recovery, recycling becomes more profitable and drives greater investment in recycling capacity, resulting in a higher share of nickel and cobalt recovered from EOL batteries over time. [ABSTRACT FROM AUTHOR]

Electric vehicle sales have been growing rapidly in the United States and around the world. This study explores the drivers of demand for electric vehicles, examining whether this trend is primarily a result of technology improvements or changes in consumer preferences for the technology over time. We conduct a discrete choice experiment of new vehicle consumers in the United States, weighted to be representative of the population. Results suggest that improved technology has been the stronger force. Estimates of consumer willingness to pay for vehicle attributes show that when consumers compare a gasoline vehicle to its battery electric vehicle (BEV) counterpart, the improved operating cost, acceleration, and fast-charging capabilities of today's BEVs mostly or entirely compensate for their perceived disadvantages, particularly for longer-range BEVs. Moreover, forecasted improvements of BEV range and price suggest that consumer valuation of many BEVs is expected to equal or exceed their gasoline counterparts by 2030. A suggestive market-wide simulation extrapolation indicates that if every gasoline vehicle had a BEV option in 2030, the majority of new car and near-majority of new sport-utility vehicle choice shares could be electric in that year due to projected technology improvements alone. [ABSTRACT FROM AUTHOR]

Electric vehicles (EVs) have been introduced as an alternative to gasoline and diesel cars to reduce greenhouse gas emissions, optimize fossil fuel use, and protect the environment. Predicting EV sales is momentous for stakeholders, including car manufacturers, policymakers, and fuel suppliers. The data used in the modeling process significantly affects the prediction model's quality. This research's primary dataset contains monthly sales and registrations of 357 new vehicles in the United States of America from 2014 to 2020. In addition to this data, several web crawlers were used to gather the required information. Vehicles sale were predicted using long short-term memory (LSTM) and Convolutional LSTM (ConvLSTM) models. To enhance LSTM performance, the hybrid model with a new structure called "Hybrid LSTM with two-dimensional Attention and Residual network" has been proposed. Also, all three models are built as Automated Machine Learning models to improve the modeling process. The proposed hybrid model performs better than the other models based on the same evaluation units, including Mean Absolute Percentage Error, Normalized Root Mean Square Error, R-square, slope, and intercept of fitted linear regressions. The proposed hybrid model has been able to predict the share of EVs with an acceptable Mean Absolute Error of 3.5%. [ABSTRACT FROM AUTHOR]

Following four years of relative stability at around $106 per barrel (bbl), oil prices have declined sharply since June 2014 and are expected to remain low for a considerable period of time. There are multiple factors which are being considered behind the plunge in the price of oil since June 2014. Most observers have conjectured that domestic oil boom in the United States and Iraq is the major cause for the falling oil prices. Some have suggested that a major shock to oil price expectations occurred after the November 2014 meeting of OPEC, when they did not cut production despite the steady increase in non-OPEC oil production. In this paper, first we analyzed the effect of various factors on the oil prices and then we studied impacts of the falling oil prices on non-hydro renewable energy. We compare the recent decline in oil prices with previous episodes up to 1996. We show that the demand and supply formula cannot be implemented to the current oil plunge. The study shows that so far the recent plunge in oil prices has produced no major impact on renewable energy sector. We found that renewable energies, such as solar and wind, are increasingly becoming cost competitive with fossil fuel energy. However the oil price crash could hurt the short-term outlook for certain specific clean energy technologies such as bio-fuel and electric vehicles that do compete with oil-based transportation. While long term low oil prices may threaten renewable energies, climate policies have the potential to act as a counterweight, encouraging long-term, low carbon, investment. [ABSTRACT FROM AUTHOR]

Transportation electrification can significantly reduce carbon footprint and accelerate the modernization of aging electric infrastructure. In the U.S., the growing adoption of electric vehicles (EVs) will significantly impact the electrical grid and associated greenhouse gas emissions, but with significant differences between the balancing regions due to the diverse characteristics of their electrical grids. This work assesses the impacts associated with the increasing penetration of EVs in the U.S., considering the characteristics of the grid in the different regions, in order to discuss the needed strategies to maximize the future decarbonization benefits. The assessment considers the variation in generation mix profiles during the day in each region, as well as different charging profiles associated with home, work, and public charging. The results show that more ambitious policies for the increasing share of carbon-free generation in the regions with the highest emissions are needed, emphasizing incentives for the use of work and public charging, and ensuring effective management of the charging flexibility. [ABSTRACT FROM AUTHOR]

The United States has pledged to develop a 100% carbon-free electric power system by 2035 and a net-zero-emissions economy by 2050. While important advancements have been made in the scale, performance, and economics of clean energy technologies, meeting the nation's ambitious goals will not only require their deployment at scale, but also additional innovation and effective integration of different solutions. Technological developments across the broad suite of low-carbon energy solutions are advancing rapidly, with ongoing innovations in renewable electricity generation, industrial processes, and energy-saving technologies and services, including LED lighting, induction heating, electric vehicles, energy storage solutions, and mobility as a service, plus smart devices, controls, and more efficient and smart buildings. Combining renewable electricity with biotic and abiotic pathways to produce chemicals, fuels, and materials promises to deliver new solutions. Grid-interactive buildings and communities, integrating transportation infrastructure and vehicles, are likely to be significant components of any zero-carbon energy strategy. Low-carbon industrial manufacturing will also make strong contributions to a net-zero economy. While the technical prospects appear promising, variations in the state of infrastructure, jurisdictional and social equity, pollution, economic and socio-cultural constraints, energy resource availability, and supply chain dynamics found in different locations present a range of challenges and demand customized solutions. This paper provides a critical review and offers new insights into the technical, infrastructure, analytic, political, and economic challenges faced in translating the nation's ambitious net-zero-emissions goals into feasible and reliable implementation action plans. • This manuscript brings together multiple experts view on the State of technologies, System level solutions, economics and scaling, for the United States to achieve bold decarbonization goals by 2050. • Key insights are offered on power system decarbonization, the role of hydrogen, storage, transportation, integrated energy systems, and material utilization and circularity. • Technologies, particularly wind and solar, are increasingly cost-effective, yet challenges remain regarding integration, social and political economy issues, and energy and environmental justice. • While the technical and economic factors are increasingly favorable, the US faces a number of non-technical challenges to rapidly scale clean energy technologies in order to achieve its ambitious goals. [ABSTRACT FROM AUTHOR]

Electric vehicles, which are primarily powered by lithium-ion batteries, have gained much attention as the future of transportation for their environmental and economic benefits. However, the current economy of lithium-ion battery management is quite linear. A circular economy with reusing and end-of-life recycling of lithium-ion batteries, would reduce the social and environmental costs associated with the mining of metals, decelerate the depletion of natural resources, and prevent the improper management that often accompanies disposal. This research suggests improvements to the end-of-life management of lithium-ion batteries in the US, considering current and emerging recycling technologies, current collection and transportation infrastructure, current reuse applications, and an analysis of the current regulatory policies in place. Along with providing a comprehensive overview of these topics, this research compiles and provides a set of actionable End-of-Life (EOL) management recommendations for the US on policy, infrastructure, and technology. [ABSTRACT FROM AUTHOR]

Each time a user of a carsharing service reserves a vehicle they choose from a selection of vehicles that vary in attributes including rental price, the distance of the vehicle from their current location, the availability of the vehicle at their desired reservation time, and the type of vehicle (e.g., gasoline, Hybrid, Plug-in Hybrid or Electric). In this paper we analyze the results of a discrete choice survey administered to members of a leading North American carsharing organization. We quantify how carsharing users value price, distance from them, schedule and vehicle type. We find that for an average user, traveling one mile for a vehicle or rescheduling a trip by up to one hour are each approximately equivalent to a US$2/hour increase in vehicle price. We find that carsharing acts as a conduit to introduce users to new vehicle technology: more than half users report having driven a Hybrid vehicle through carsharing, representing 400 users exposed for every one Hybrid vehicle in service. All else being equal, users most prefer Hybrid vehicles. Users who report driving longer distances prefer not to take either electric vehicles or Plug-in Hybrids, despite the fact that Plug-in Hybrids do not have significant range limitations. [ABSTRACT FROM AUTHOR]

Over the past decade, carsharing has grown considerably in the United States, particularly in major metropolitan areas. This innovative business model offers individuals the opportunity to rent cars by the hour, providing them with greater flexibility for their mobility. Previous work on carsharing suggests that its adoption leads to a decline in household vehicle ownership, vehicle miles traveled, and associated greenhouse gas emissions. Utilizing representative data from the 2010–2012 California Household Travel Survey, this paper presents an analysis of travel behavior and vehicle ownership among carshare members versus non-members in the San Francisco Bay Area, focusing on a subsample of the population with access to carsharing at the U.S. census tract level. Consistent with previous findings on vehicle reduction, these results show that carsharing members own significantly fewer vehicles than non-members. However, lower levels of vehicle ownership are only found among households living in urban areas. In dense, urban neighborhoods, households with carsharing membership own 0.58 vehicles per household as compared with 0.96 vehicles of a control group. Suburban carshare members drive less than their non-carshare member counterparts – although the extent to which this difference can be attributed to self-selection it is unknown. This study also finds that among carsharing households that do own vehicles, a greater share of those vehicles are alternative vehicles (e.g., hybrid, plug-in hybrid electric, and battery electric). Among vehicles owned by the subsample examined in this study, electric drive vehicles represent 18.3% of those owned by carshare member households, as compared with 10.2% of the vehicles owned by non-carsharing households. This analysis finds that not only are urban carshare members likely to own fewer vehicles than the rest of the population, if they do own vehicles, they are more likely to own a vehicle with a smaller environmental footprint. [ABSTRACT FROM AUTHOR]

Renewable energy sources (RES) are gradually becoming one of the key elements in the process of achieving energy efficiency worldwide. This trend can be observed in many developed Western economies—for example, in the United States, as well as in the United Kingdom. Hence, the role of innovative policies for promoting energy efficiency is becoming crucial in transition to the post-carbon economy. The shift to the carbon-free future make all actors to face forgoing commitments Nevertheless, customers and residential households are the first and the most important players in the pursuit of the energy-efficient future. Without them, carbon-free economy based on RES would never take the shape as envisaged. Our paper focuses on the innovative strategies and policies studying the effect and the scope of RES penetration into the households. We employ and empirical analysis of the effects from using RES in households using an example of the residential households in the northwest region of the United Kingdom (UK) with and without solar photovoltaic (PV) panels and electric vehicles (EV). We analyse the four scenarios that are aimed at analysing the system dynamics and providing differentiation between systems in terms of the varying values of the gross demand, tariffs, metered import, and the total revenue. Our results demonstrate that the solar PV leads to the transfer of costs and wealth regardless of the ownership of PV and EVs. Solar energy generation reduces the share of UK solar PV households per kWh costs of the distribution system which causes the augmenting of the per unit charges as well as to the changes in payments for the electricity that impoverishes less wealthy customer groups. It also becomes clear that with the increase of EV penetration, the existing energy efficiency schemes would have to be revised. [ABSTRACT FROM AUTHOR]

The transportation sector produces a large portion of greenhouse gas emissions in the United States. Meeting ambitious reductions in greenhouse gasses requires large-scale adoption of battery electric vehicles and has led to several policies and laws aimed at incentivizing their sales. While electric vehicles comprise a small percentage of the overall fleets of vehicles, the expected production of electric vehicles is soon expected to be in the millions. This will create challenges in providing an adequate charging infrastructure, as well as the ensuing management of the overall electricity demand at the grid level. In this work, a novel smart-charging protocol for battery electric vehicle charging at workplace parking structures is proposed. The Octopus Charger-based Mixed Integer Linear Programming protocol allows octopus chargers (i.e., charging stations with multiple cables) to independently schedule charging periods for their assigned vehicles. The proposed protocols can manage a parking structure demand load while reducing the number of installed charging stations. Driving patterns from the National Household Travel Survey were used to perform simulations, to verify and quantify the effectiveness of the proposed protocol. The proposed protocol resulted in improved peak load reductions for all simulated smart-charging scenarios when compared with uncontrolled charging. Critically, the assignment algorithm resulted in a number of required chargers close to the theoretical minimum. [ABSTRACT FROM AUTHOR]

In this paper, we develop a methodology for estimating marginal emissions of electricity demand that vary by location and time of day across the United States. The approach takes account of the generation mix within interconnected electricity markets and shifting load profiles throughout the day. Using data available for 2007 through 2009, with a focus on carbon dioxide (CO 2 ), we find substantial variation among locations and times of day. Marginal emission rates are more than three times as large in the upper Midwest compared to the western United States, and within regions, rates for some hours of the day are more than twice those for others. We apply our results to an evaluation of plug-in electric vehicles (PEVs). The CO 2 emissions per mile from driving PEVs are less than those from driving a hybrid car in the western United States and Texas. In the upper Midwest, however, charging during the recommended hours at night implies that PEVs generate more emissions per mile than the average car currently on the road. Underlying many of our results is a fundamental tension between electricity load management and environmental goals: the hours when electricity is the least expensive to produce tend to be the hours with the greatest emissions. In addition to PEVs, we show how our estimates are useful for evaluating the heterogeneous effects of other policies and initiatives, such as distributed solar and real-time pricing. [ABSTRACT FROM AUTHOR]

Abstract: This paper centers on the estimation of the total primary energy consumption for personal transportation in the United States, to include gasoline and/or electricity consumption, depending on vehicle type. The bottom-up sector-based estimation method introduced here contributes to a computational tool under development at The Ohio State University for assisting decision making in energy policy, pricing, and investment. In order to simulate highly-resolved consumption profiles three main modeling steps are needed: modeling the behavior of drivers, generating realistic driving profiles, and simulating energy consumption of different kinds of vehicles. The modeling proposed allows for evaluating the impact of plug-in electric vehicles on the electric grid – especially at the distribution level. It can serve as a tool to compare different vehicle types and assist policy-makers in estimating their impact on primary energy consumption and the role transportation can play to reduce oil dependency. [Copyright &y& Elsevier]

Abstract: This paper examines consumer stated intent to purchase plug-in electric vehicles and assesses the factors that increase or decrease interest. We surveyed adult drivers in large US cities in early fall 2011, before vehicle manufacturers and dealers began marketing campaigns. The survey responses thus document early impressions of this transport technology. We find that, given current battery technology and public perceptions, overall stated intent to purchase or lease electric vehicles is low. Interest in plug-in hybrid technology is somewhat greater than interest in all-electric technology. Consumers who express early interest in adopting electric vehicles are typically highly educated, previous owners of conventional hybrids, environmentally sensitive, and concerned about dependence on foreign oil. Enhanced fuel economy, the primary tangible advantage of plug-in technology, is recognized as favorable by respondents but fails to exert a strong influence on purchasing intentions. Interest in plug-in electric vehicles is shaped primarily by consumers’ perceptions of electric vehicle disadvantages. [Copyright &y& Elsevier]

Abstract: Battery electric vehicles (BEVs) are often portrayed as “green,” implying negligible greenhouse gas (GHG) emissions. While BEVs are zero emission vehicles, the electrical power generators used to recharge vehicle batteries do emit copious GHGs. Some analysts have estimated the power plant GHG emissions due to charging EV batteries using the average electrical generator grid mix for a given region. However, the GHG protocol specifies that analysts should use the marginal grid mixes to accurately calculate GHG emissions from adding EVs to the vehicle fleet. This paper utilizes the marginal grid mixes for each electrical power region in the US, and calculates the vehicle-weighted average GHG emissions for the entire country. These calculations demonstrate that, on the average, each BEV that displaces a gasoline hybrid electric vehicle (HEV) will increase GHGs by more than 7% and each PHEV put in service will increase GHGs by an average of 10% compared to a gasoline HEV. [Copyright &y& Elsevier]

Presents a study which discussed a simulation and modeling package developed at Texas A&M University which facilitates analysis of electric vehicle (EV) and hybrid EV. Methodology; Design of vehicle drive trains; Conclusion.

Presents the results of a forecast for alternative fuel vehicle purchases in California. Stakeholder in the electric sales mandate; Major forecasting methods used; Electric vehicle conjoint analysis; Policy implications for automobile and utility industries.

In the last 4 years, the transportation sector has overtaken the power sector as the major source of greenhouse gas (GHG) emissions, and it is expected to continue to be the dominant sector for emissions into the future. In contrast to the power sector, transportation faces substantially more challenges to reducing GHG emissions. This article will examine those barriers and then review three major strategies to reduce emissions in this sector. They include: (a) substantially improve the fuel economy of the passenger light vehicle fleet; (b) advance the usage of emerging alternatively‐fueled light vehicles, particularly electric vehicles, while reducing their GHG emissions; and (c) invest in and modernize public transportation to increase its use substantially. This article is categorized under:Energy and Transport > Economics and PolicyEnergy and Climate > Climate and EnvironmentEnergy Policy and Planning > Climate and Environment [ABSTRACT FROM AUTHOR]