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To overcome the air pollution and ill effects of IC engine-based transportation (ICEVs), demand of electric vehicles (EVs) has risen which reduce *gasoline consumption, environment degradation and energy wastage, but barriers—short driving range, higher battery cost and longer charging time—slow down its wide adoptions and commercialization. Although to overcome such issues, EV variants —HEVs and PHEVs—were also brought into the market but not that successful either. The use of ICE in HEVs and PHEVs increases fossil fuel dependency. Thus, the research focus shifted towards fuel cell-powered electric vehicles (FCEVs) which offer negligible emission and higher efficiency than EV variants. Though a moderate research work has been done on FCEVs, still its wide expansion is limited, facing severe challenges commonly related to fuel cost, selection of energy units, power electronic interfacing, component sizing and energy management. This paper presents an extensive exploration on EV variants, their issues, an in-depth comparison of latest topologies for FCEVs and optimum arrangement of HESS, designed by energy unit's integration, i.e. FC, battery and UCs, to encounter the dynamic power demand and develop a performant model for transportation. In last, progress and possible future research areas are discussed. In short, this paper reveals all contemporary information of FCHEV technology to the scientists and scholars who are working in this particular arena. [ABSTRACT FROM AUTHOR]

Power loss and malfunctioning of equipment due to current and voltage harmonics produced by nonlinear loads are major concerns for both power suppliers and consumers. This paper employs DSTATCOM to mitigate these harmonic distortions in distribution systems. DSTATCOM is a current controlled voltage source PWM converter with passive components. It supplies compensating current that eliminates current harmonics and provides reactive power compensation thereby providing a smooth source current. The performance of DSTATCOM is controlled using proportional integral and fuzzy logic–based control (FLC) schemes to improve power quality at dynamic loading. As the penetration of photovoltaic (PV) systems in energy production is significant, the power quality issues for PV-integrated systems have also been investigated. The maximum power point for a PV array is tracked using perturb and observe and FLC methods. The complete system is simulated in MATLAB and extensively investigated for a large range of balanced and unbalanced nonlinear load conditions. The simulation results are validated in real time through the hardware in loop (HIL) test bench using Opal-RT controller. The proposed PV-integrated DSTATCOM with FLC yields better performance in terms of DC link voltage settling time, total harmonics distortion, and smooth source current as compared to other schemes. [ABSTRACT FROM AUTHOR]

Hybrid electric vehicles (HEVs) and plug-in HEVs (PHEVs) are indispensable tools in reducing greenhouse gas emissions to fight the twin evils of pollution and climate change. In these vehicles, battery replacement and fuel costs are the major recurring costs over a lifetime. Hence, there is a growing attempt to develop strategies that reduce the long-run expenditure in these vehicles without compromising on performance levels. Further, an increase in the fuel economy is also required for the effective penetration of these vehicles in society. Here, the authors attempt to identify the optimal operating values for battery state of charge (SoC), power ratings of motor, and fuel converter to increase the battery life and fuel economy without degrading the vehicle performance. The simulations have been carried out on Ford C-Max Energi (2016) as a representative for PHEVs based on the Urban Dynamometer Driving Schedule (UDDS) and Highway (HWY) driving cycles. The software used for these simulations is the future automotive systems technology simulator (FASTSim), developed by the National Renewable Energy Laboratory (NREL). In this paper, firstly, the effect of important parameters like battery SoC, fuel converter power, and motor power on HEVs' driving range, battery life, fuel economy, cost, and charge-depleting range has been analyzed. Based on this analysis, the optimal values of the parameters have been estimated. These parameters have resulted in improvements of driving range by 4.3% and battery life by 18% at a minute cost of a 1% decrease in the charge-sustaining battery life and a 0.4-s increase in the time the car takes to hit 60 mph from the rest. This paper presents a simple, effective, and new approach that explores the effect of altering the existing design parameters on vehicle performance, without manipulating, adding, or deleting any component or controller. This can further be extended to study the impact of various other parameters in the proposed work and opens a way to explore other parameters that exist in various other components of XEVs (where X can be H/PH//F). This study will help in achieving optimal cost reduction in these vehicles. [ABSTRACT FROM AUTHOR]

Power quality management is a widespread requirement in this renewal energy source (RES) integrated environment. A few of the key challenges faced during power quality management are total harmonic distortion (THD), poor power factor and reactive power compensation. This paper tries to improve these power quality issues using synchronous reference frame (SRF) theory-based distributed static compensator (DSTATCOM). An Adaptive Neuro-Fuzzy Inference System (ANFIS) algorithm has been used to optimize the operation of the DSTATCOM and to obtain maximum power from a PV array. This algorithm optimizes the requirement of compensating current from the PV fed DSTATCOM to make the source current smoother. System dynamic performance is investigated in the presence of balanced/unbalanced nonlinear and reactive loads. The results obtained using ANFIS- and SRF-based methods are compared to other conventional/AI-based methods and found to be superior. The proposed method is validated in real time using Opal-RT on FPGA computation engine to closely emulate actual hardware. [ABSTRACT FROM AUTHOR]

Electric vehicles (EVs) have proved capable of solving many of the environment's problems such as reducing harmful pollutants' emission along with having greater motor efficiency than gasoline vehicles. This study presents a bibliometric analysis of 10,426 publications from the year 1989 to 2020, obtained from Web of Science™ (WoS) core collection (CC). An initial citation analysis was done using Histcite to identity the leading nations, institutes, authors, and journals performing research related to EVs. Following this, a co-citation analysis was performed using VOSviewer, which generates clusters that are further analyzed to identify the key domains in EV research. A research overview in EVs over the last three decades is presented that can serve various stakeholders in this field of study. The results of this study will highlight the critical research areas in the field of EVs. Additionally, it will also provide various insights that may help the policymakers, practitioners and associations to accelerate EV adoption by the end-users. [ABSTRACT FROM AUTHOR]

A hybrid electric vehicle is powered by: the internal combustion engine and the battery-powered electric motor. These sources have specific operational characteristics, and it is necessary to match these characteristics for the efficient and smooth functioning of the vehicle. The nonlinearity and uncertainties in hybrid electric vehicle model require an intelligent controller to control the energy sharing between battery and engine. In this work, a fuzzy logic-enabled energy management strategy for the hybrid electric vehicle based on torque demand, battery state of charge and regenerative braking is designed and implemented. The proposed energy management strategy allows engine and motor to maneuver in their efficient operating regions. The designed hybrid electric vehicle and its control strategy follow the driver commands and regulations on vehicle performance and liquid fuel consumption. MATLAB/Simulink is used to carry out simulations, and then, the whole system is validated in real time on hardware-in-the-loop testing platform. This work employs an FPGA-based MicroLabBox hardware controller to validate real-time behavior. The proposed scheme results in better fuel economy, faster response and almost nil mismatch between desired and achieved vehicle speeds. [ABSTRACT FROM AUTHOR]

This document is a correction notice for an article titled "Intelligent switching mechanism for power distribution in photovoltaic-fed battery electric vehicles" published in the journal Environment, Development & Sustainability. The correction addresses two mistakes in the original article: the incorrect name of the third author and the incorrect affiliation of the fourth author. The correct name of the third author is Hari Om Bansal, and the correct affiliation of the fourth author is National Taiwan University in Taipei, Taiwan. The original article has been corrected. The publisher, Springer Nature, remains neutral regarding jurisdictional claims and institutional affiliations. [Extracted from the article]

The rapid consumption of fossil fuel and increased environmental damage caused by it have given a strong impetus to the growth and development of fuel-efficient vehicles. Hybrid electric vehicles (HEVs) have evolved from their inchoate state and are proving to be a promising solution to the serious existential problem posed to the planet earth. Not only do HEVs provide better fuel economy and lower emissions satisfying environmental legislations, but also they dampen the effect of rising fuel prices on consumers. HEVs combine the drive powers of an internal combustion engine and an electrical machine. The main components of HEVs are energy storage system, motor, bidirectional converter and maximum power point trackers (MPPT, in case of solar-powered HEVs). The performance of HEVs greatly depends on these components and its architecture. This paper presents an extensive review on essential components used in HEVs such as their architectures with advantages and disadvantages, choice of bidirectional converter to obtain high efficiency, combining ultracapacitor with battery to extend the battery life, traction motors' role and their suitability for a particular application. Inclusion of photovoltaic cell in HEVs is a fairly new concept and has been discussed in detail. Various MPPT techniques used for solar-driven HEVs are also discussed in this paper with their suitability. [ABSTRACT FROM AUTHOR]