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A new avenue by transforming the conventional electrochemical domain into an electro‐chemo‐mechanical domain is proposed to achieve less hysteretic fast‐charging based on the three pictures: i) electro‐chemo‐mechanics, ii) phase transition kinetics, and iii) ionic kinetics. Each concept is demonstrated leading to the electrochemical improvement using data‐driven computation and experimental analyses, and its novel framework is generalized based on alkali‐ion chalcogenide models. The mechanical strain lowers and delays the electrochemical yield point, which gives rise to extending the elastic region and enhancing the phase and ionic kinetics. This is experimentally verified with less hysteresis upon (dis)charging for all models. Implementing the electro‐chemo‐mechanical domain is central in alkali‐ion chalcogenide batteries and broadens its application in other rechargeable batteries, ultimately playing a critical role in providing practical fast‐charging solutions. [ABSTRACT FROM AUTHOR]

The application of sodium‐ion batteries (SIBs) within grid‐scale energy storage systems (ESSs) critically hinges upon fast charging technology. However, challenges arise particularly with anodes such as hard carbon (HC), which exhibits a low working plateau (less than 0.1 V vs Na/Na+) and is susceptible to sodium dendrite issues under high current densities. In this study, a cost‐effective SIB system comprising Na2.4Fe1.8(SO4)3 (NFS) cathode, NaTi2(PO4)3 (NTP) anode, and ester‐based electrolyte is assembled to solve the fast‐charging obstacle. Benefiting from the fast sodium‐ion diffusion kinetics and relatively high voltage platform of NTP anode, this full cell can work for 10 000 cycles at 10 C rate with a notable capacity retention of 70.7%. Moreover, this investigation reveals that the full cell can operate safely between ‐50 to 90 °C even with an ester‐based electrolyte, thereby showcasing broad application prospects. This work provides a valuable guidance for designing fast charging and wide temperature SIBs. [ABSTRACT FROM AUTHOR]

Modernizing the Electric Vehicle (EV) charging infrastructure is essential for the widespread adoption of electric mobility. This research addresses the imperative need for enhancing the power performance of photovoltaic (PV) grid-connected inverters for EV fast charging applications. The system integrates Voltage-Oriented Control (VOC) for the PV inverter, a High-Gain Interleaved (Single Ended Primary Inductance Converter) SEPIC-Cuk (HGISC) converter, and a Bald Eagle Search Optimized Adaptive Neuro Fuzzy Inference System (BESO-ANFIS)) algorithm. VOC with Proportional Resonant (PR) ensures optimized energy transfer to grid, while the HGIBC converter enhances power performance. The proposed BESO-ANFIS Maximum Power Point Tracking (MPPT) dynamically tracks the PV array’s Maximum Power Point (MPP) under varying conditions. Additionally, a bidirectional battery converter in the energy storage system optimizes power usage. The synergistic implementation of these advanced controller results in a comprehensive solution, showcasing improved power output, grid integration, and efficient solar energy utilization for EV fast charging. MATLAB simulations and experiments demonstrate 97% efficiency and reduced Total Harmonic Distortion (THD) of 0.98%, positioning this research as an advanced solution for EV charging infrastructure enhancement. [ABSTRACT FROM AUTHOR]

This study explores the performance of a steady-state flow single-phase non-conductive liquid immersion cooling system in a single-cell Li-ion battery under a variety of thermal environments such as 25°C, 40°C, and 60°C and tested at different charge C-rates. The experimental results show that the proposed cooling system exhibited the best cooling performance of less than 5°C and a significant temperature rise reduction of 34% at 3C rate under the ambient temperature of 25°C. Also, it provided uniform temperature distribution within the cell when charged at fast charge rates of 2C and 3C operations. [ABSTRACT FROM AUTHOR]

Copyright of Automotive Engineer (1674-6546) is the property of Auto Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Lithium‐ion batteries are currently the most widely used electrochemical energy storage devices. However, the most used graphite anode faces severe lithium plating issues when charging at low temperatures or high rates, leading to battery's capacity decay and even safety concerns. Therefore, visually and quantitatively detecting lithium plating is extremely important to analyze battery's performances. Here a convenient, rapid‐response, visual, and semi‐quantitative technique, namely fluorescence probe, is put forward to visually and quantitatively detect lithium plating on graphite anodes. A commercially available aggregation‐induced emission (AIE) molecule (4′‐hydroxychalcone) is introduced as a probe. The hydroxyl group of 4′‐hydroxychalcone can rapidly and sensitively react with plated lithium, instantaneously emerging an intensive yellow fluorescence within seconds; while 4′‐hydroxychalcone undergoes fluorescence quenching when directly contacting with graphite. Based on this, not only the uneven distribution of plated lithium on graphite anodes can be simply and clearly visualized and detected after being charged at low temperatures or high rates, but also the semi‐quantitative relationship between fluorescence intensity and the amount of plated lithium can be well established. Therefore, this work puts forward a practical solution for analyzing lithium plating on graphite anodes, offering a practical approach for failure analysis of lithium‐ion batteries used in various scenarios. [ABSTRACT FROM AUTHOR]

Fast‐charging lithium‐ion batteries are pivotal in overcoming the limitations of energy storage devices, particularly their energy density. There is a burgeoning interest in boosting energy storage performance through enhanced fast‐charging capabilities. However, the challenge lies in developing batteries that combine high rates, long cycle life, high capacity, and safety. This review emphasizes the importance of fundamentals and design principles of fast charging, identifying the transport of ion/electron within the electrodes/electrolytes' bulk phase and at phase boundaries as the crucial rate‐limiting steps for fast charging. Such as ion transport tunnel regulation, interfacial modification, defect engineering and multiphase systems, various optimization strategies improve the stable and exceptional electrochemical reaction kinetics for electrodes. Constructing stable solid electrolyte interfaces and adjusting solvation structures further enhance the Li+ diffusion kinetics of electrolytes. The review critically assesses the impacts and limitations of these strategies, suggesting future research directions and insights for advancing fast‐charging lithium‐ion batteries. It is anticipated that this review will inspire and guide the systematic evolution of fast‐charging technologies. [ABSTRACT FROM AUTHOR]

The fast charging of electric vehicles (EVs) has stood out prominently as an alternative for long-distance travel. These charging events typically occur at public fast charging stations (FCSs) within brief timeframes, which requires a substantial demand for power and energy in a short period. To adequately prepare the system for the widespread adoption of EVs, it is imperative to comprehend and establish standards for user behavior. This study employs agglomerative clustering, kernel density estimation, beta distribution, and data mining techniques to model and identify patterns in these charging events. They utilize telemetry data from charging events on highways, which are public and cost-free. Critical parameters such as stage of charge (SoC), energy, power, time, and location are examined to understand user dynamics during charging events. The findings of this research provide a clear insight into user behavior by separating charging events into five groups, which significantly clarifies user behavior and allows for mathematical modeling. Also, the results show that the FCSs have varying patterns according to the location. They serve as a basis for future research, including topics for further investigations, such as integrating charging events with renewable energy sources, establishing load management policies, and generating accurate load forecasting models. [ABSTRACT FROM AUTHOR]

Aiming at the electric vehicle charging pile control system has the characteristics of multi-parameter, strong coupling and non-linearity, and the existing traditional PID control and fuzzy PID control methods have the problems of slow charging speed, poor control performance and anti-interference ability, as well as seriously affecting the service life of the battery, this paper designs a kind of improved particle swarm algorithm to optimize the PID controller of the charging control system for electric vehicle charging piles, and utilizes the improved particle swarm algorithm to Adaptive and precise adjustment of proportional, integral and differential parameters, so that the system quickly reaches stability, so as to improve the accuracy of the system control output current or voltage. Simulation results show that the optimized system response speed of the improved particle swarm algorithm is improved by 3.077 s, the overshooting amount is reduced by 1.01%, and there is no oscillation, which has strong adaptability and anti-interference ability, and can significantly improve the control accuracy and charging efficiency of the charging pile control system. [ABSTRACT FROM AUTHOR]

To protect the environment and reduce dependence on fossil fuels, the world is shifting towards electric vehicles (EVs) as a sustainable solution. The development of fast charging technologies for EVs to reduce charging time and increase operating range is essential to replace traditional internal combustion engine (ICE) vehicles. Lithium-ion batteries (LIBs) are efficient energy storage systems in EVs. However, the efficiency of LIBs depends significantly on their working temperature range. However, the huge amount of heat generated during fast charging increases battery temperature uncontrollably and may lead to thermal runaway, which poses serious hazards during the operation of EVs. In addition, fast charging with high current accelerates battery aging and seriously reduces battery capacity. Therefore, an effective and advanced battery thermal management system (BTMS) is essential to ensure the performance, lifetime, and safety of LIBs, particularly under extreme charging conditions. In this perspective, the current review presents the state-of-the-art thermal management strategies for LIBs during fast charging. The serious thermal problems owing to heat generated during fast charging and its impacts on LIBs are discussed. The core part of this review presents advanced cooling strategies such as indirect liquid cooling, immersion cooling, and hybrid cooling for the thermal management of batteries during fast charging based on recently published research studies in the period of 2019–2024 (5 years). Finally, the key findings and potential directions for next-generation BTMSs toward fast charging are proposed. This review offers an in-depth analysis by providing recommendations and potential solutions to develop reliable and efficient BTMSs for LIBs during fast charging. [ABSTRACT FROM AUTHOR]

A comprehensive understanding of aging mechanisms and degradation diagnosis under fast charging in battery electric vehicles is needed. However, there is a lack of tools to capture both macroscopic and microscopic parameters, still focusing on experiment results analysis. To get a comprehensive degradation insight for improved service life, this study explores aging mechanisms in LiNi0.5Co0.2Mn0.3O2 graphite batteries under different fast charging conditions (0.6C to 2C) for up to 1000 equivalent full cycles (EFCs). An improved digital twin is used to quantify aging effects and identify aging modes, combining electrochemical techniques with post‐mortem analysis for assessing chemical and structural degradation. After 1000 EFCs, the dominant aging modes are loss of active material (LAM) in the negative electrode and loss of lithium inventory (LLI), surpassing LAM in the positive electrode. Compared to constant current charging, multistep fast charging effectively mitigates Li plating effects and graphite cracking, resulting in a 13% reduction in LAM. Additionally, optimizing the depth of discharge leads to at least 4% reductions in LLI and 16% in LAMpos. This study proves the electrochemical digital twin's potential for quantifying aging effects and serves as a basis for future physics‐informed machine learning to predict aging behavior and modes. [ABSTRACT FROM AUTHOR]

Charging power supplies with both fast and visualization functions have a wide range of applications in the information and new energy industries. In this paper, the visualized and contact‐type fast charging power supply based on WO3 film and Zn sheet is presented, and the prototype devices are fabricated. Different with the charging method of conventional batteries, charging is achieved by a Zn sheet contacting with a WO3 film moistened with water, resulting in a rapid discoloration of WO3. Theoretical investigation indicates that the interaction between Zn sheet and water molecules is the primary cause of the color change in the WO3 film. The WO3 film completes the colouring state within 10 s in the presence of Zn sheet and water, and the open‐circuit voltage of the device is 0.7 V, which can be used to drive various electronics by series‐parallel connection. This research introduces a novel method to induce colouring of WO3 films and proposes a fast charging mode different from traditional power sources. It provides valuable insights for the future development of fast charging in the field of electrical energy. [ABSTRACT FROM AUTHOR]

The development of fast‐charging lithium‐ion batteries with high energy density is hindered by the sluggish Li+ transport and substantial polarization within graphite electrodes. Herein, this study proposes that the integrated design of liquid electrolyte and solid electrolyte, a dual‐phase electrolyte (DP‐electrolyte), can facilitate Li+ transport within a thick electrode. A 3D Li3PS4 (LPS) network is constructed within the graphite electrode to form the LPS/graphite electrode. This is achieved through the in situ conversion of the P4S16 into the LPS, a process introduced during the slurry processing. Both experimental findings and simulation outcomes indicate that this design mitigates the concentration polarization due to the improved Li+ transport capability with an overall high Li+ transference number within the electrode. With a high capacity of ≈3.1 mAh cm−2 attributed to the graphite electrode, the LiNi0.6Co0.2Mn0.2O2 (NCM622)||LPS/graphite cells demonstrate superior fast‐charging capability (4 C, 15 min, charging to ≈87.7%) and stable cycling performance (4 C, 700 cycles, ≈80% capacity retention). Furthermore, they exhibit commendable low‐temperature performance. The Ah‐level pouch cell achieves 87.5% recharge in 15 min with an energy density of ≈221.5 Wh kg−1. This work offers an alternative avenue for the advancement of fast‐charging lithium‐ion batteries with practical high energy density. [ABSTRACT FROM AUTHOR]

Lithium iron phosphate (LiFePO4, LFP) batteries are widely used in electric vehicles and energy storage systems due to their excellent cycling stability, affordability and safety. However, the rate performance of LFP remains limited due to its low intrinsic electronic and ionic conductivities. In this work, an ex situ flash carbon coating method is developed to enhance the interfacial properties for fast charging. A continuous, amorphous carbon layer is achieved by rapidly decomposing the precursors and depositing carbon species in a confined space within 10 s. Simultaneously, different heteroatoms can be introduced into the surface carbon matrix, which regulates the irregular growth of cathode‐electrolyte interphase (CEI) and selectively facilitates the inorganic region formation. The inorganic‐rich, hybrid conductive CEI not only promotes electron and ion transport but also restricts parasitic side reactions. Consequently, LFP cathodes with fluorinated carbon coatings exhibited the highest capacity of 151 mAh g−1 at 0.2 C and 96 mAh g−1 at 10 C, indicating their excellent rate capability over commercial LFP (58 mAh g−1 at 10 C). This solvent‐free, versatile surface modification is shown for other electrode materials, providing an efficient platform for electrode‐electrolyte interphase engineering through a surface post‐treatment. [ABSTRACT FROM AUTHOR]

Electric vehicles (EVs) are transforming the transportation sector, driven by the rapid expansion of charging infrastructure, including fast-charging stations (FCSs), significantly reducing charging time compared to standard charging stations. Despite the advantages of faster charging, the substantial power demand of EVs poses significant technical challenges for distribution networks. In particular, the existing literature has a research gap regarding how FCSs may impact or interact with step-voltage regulators' (SVRs) tap operations. In this study, we characterize and evaluate the effects of fast recharging at varying penetration levels (PLs) on SVRs' tap operations using probabilistic simulations and sensitivity analysis. To address these challenges, we propose a local and innovative application of the Volt/Var control on EV fast charging. The proposed application aims to inject reactive power into the network, depending on the FCS's nominal active power, when the bus voltage connected to the FCS exceeds a minimum value. Our research on an actual feeder in northern Brazil reveals that reducing the active power supplied to the vehicle or oversizing the charging station power converters is unnecessary. Furthermore, our strategy reduces the probability of undervoltage violations and minimizes SVR tap changes, mitigating EVs' impact on voltage quality. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Electrochemistry is the property of Journal of Electrochemistry Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Transition metal sulfides have great potential as anode materials for sodium-ion batteries (SIBs) due to their high theoretical specific capacities. However, the inferior intrinsic conductivity and large volume variation during sodiation–desodiation processes seriously affect its high-rate and long-cycle performance, unbeneficial for the application as fast-charging and long-cycling SIBs anode. Herein, the three-dimensional porous Cu1.81S/nitrogen-doped carbon frameworks (Cu1.81S/NC) are synthesized by the simple and facile sol–gel and annealing processes, which can accommodate the volumetric expansion of Cu1.81S nanoparticles and accelerate the transmission of ions and electrons during Na+ insertion/extraction processes, exhibiting the excellent rate capability (250.6 mAh·g−1 at 20.0 A·g−1) and outstanding cycling stability (70% capacity retention for 6000 cycles at 10.0 A·g−1) for SIBs. Moreover, the Na-ion full cells coupled with Na3V2(PO4)3/C cathode also demonstrate the satisfactory reversible specific capacity of 330.5 mAh·g−1 at 5.0 A·g−1 and long-cycle performance with the 86.9% capacity retention at 2.0 A·g−1 after 750 cycles. This work proposes a promising way for the conversion-based metal sulfides for the applications as fast-charging sodium-ion battery anode. [ABSTRACT FROM AUTHOR]

Abstract Carbonate-based electrolytes, known for their high solvation energy and high ionic conductivity at room temperature, present significant challenges in ultra-low temperature and fast charging applications. In the February issue of Nature, Fan and colleagues demonstrated that utilizing solvents like fluoroacetonitrile with small molecular size and low solvation energy, facilitates the creation of rapid ion-conduction ligand channels and enables the formation of an inorganic-rich interphase for high-performance ionic batteries, effectively addressing the aforementioned challenges.

Abstract Aiming at the electric vehicle charging pile control system has the characteristics of multi-parameter, strong coupling and non-linearity, and the existing traditional PID control and fuzzy PID control methods have the problems of slow charging speed, poor control performance and anti-interference ability, as well as seriously affecting the service life of the battery, this paper designs a kind of improved particle swarm algorithm to optimize the PID controller of the charging control system for electric vehicle charging piles, and utilizes the improved particle swarm algorithm to Adaptive and precise adjustment of proportional, integral and differential parameters, so that the system quickly reaches stability, so as to improve the accuracy of the system control output current or voltage. Simulation results show that the optimized system response speed of the improved particle swarm algorithm is improved by 3.077 s, the overshooting amount is reduced by 1.01%, and there is no oscillation, which has strong adaptability and anti-interference ability, and can significantly improve the control accuracy and charging efficiency of the charging pile control system.

The reduced surface porosity of highly compacted graphite anode after calendering is one of the major obstacles restraining the fast‐charging capability and low‐temperature adaptability of lithium‐ion batteries. In this work, through‐hole carbon spheres (THCS) synthesized by coaxial electrospinning and the following template sacrifice method are employed as a pore‐forming agent on graphite surfaces for the first time. The established gradient porosity architecture endows graphite anode with interconnected conductive networks and abundant Li+ transport channels. Therefore, the THCS pouch cell exhibits fast charging capability (charging efficiency of 49.2% at 5 C), superior cycling stability (96% capacity retention after 500 cycles at 1 C), and low‐temperature adaptability (high lithium plating resistance at −10 °C). By contrast, severe lithium‐plating behavior is observed in the blank pouch cell under the same testing conditions. It is believed that the facile and scalable gradient pore structure manufacturing technology will succeed in promoting the fast‐charging capability and low‐temperature adaptability of commercial Li‐ion batteries. [ABSTRACT FROM AUTHOR]

Silicon (Si) anodes hold great promise for enhancing the energy density of lithium‐ion batteries (LIBs). However, issues such as slow intrinsic kinetics and unstable interfaces caused by significant volume changes hinder the practical deployment of Si anodes. Fast charging is desired by Si‐related issues that worsen Li plating and dead Li, making it essential to overcome these for safe, reversible charging. Herein, a novel approach is proposed by combining structural design and solid electrolyte interface (SEI) modulation to enable efficient and safe fast charging of LIBs. 3D porous micro‐particles consisting of Si nanosheets coated with a pitch‐based carbon layer are successfully prepared. This design provides enhanced ion transport pathways while maintaining the material's intrinsic rate performance and tap density. Furthermore, the designed localized high‐concentration electrolyte (LHCE) exhibits a lower Li+ desolvation energy barrier and leads to the formation of a LiF‐rich SEI, mitigating the Li plating "tip effect" during fast charging, maintaining interface stability, and demonstrating high Coulombic efficiency. Overall, this study highlights the synergistic importance of structure design and SEI regulation in enhancing LIB anodes for fast charging, aiding in developing superior, safe energy storage. [ABSTRACT FROM AUTHOR]

Thick and dense graphite anodes used in lithium‐ion batteries (LIBs) suffer from sluggish reaction kinetics at the electrode level, causing Li metal plating on their surfaces and significant capacity decay at high charging currents. Thus, it is crucial to tailor electrodes based on a comprehensive understanding of the complex reaction kinetics to realize fast‐charging LIBs. A multi‐interface strategy is proposed for electrode tailoring using Al2O3 nanoparticles to enhance fast‐charging capability while suppressing Li metal plating. Molecular dynamics simulations suggest that the incorporated Al2O3 nanoparticles perturb the charge and molecule distributions in the boundary layer, forming an "interfacial highway" for facile Li+ transport at the Al2O3/electrolyte interface. This pushes Li+ deeper into the electrode and homogenizes the Li+ flux across the electrode's top surface. A full cell assembled with the Al2O3‐decorated graphite electrode (areal capacity of 4.4 mAh cm−2) exhibits excellent cyclability with a capacity retention of 83.4% over 500 cycles even at a 2C rate without any noticeable signal for undesirable Li plating. The role of interfacial highways predicted by theoretical computations is further validated using a pouch‐type full cell (500 mAh). These findings provide insights into the interfacial and microstructural design of high‐capacity graphite electrodes for fast‐charging, long‐cycling LIBs. [ABSTRACT FROM AUTHOR]

Lithium‐ion batteries with high gravimetric capacity density and improved cycle life performance under fast‐charging conditions are crucial for widespread electric vehicle (EV) adoption. This study investigates how designing graphite anode microstructure, specifically porosity, and particle‐size gradients, improves lithium‐ion (Li+) transport during fast‐charging conditions. Three‐layered graphite anodes with varying porosity (24%, 36%, 46%) and particle size gradients (3, 5, 10 μm) were compared to a conventional single‐layered electrode in half‐cell configurations. At room temperature and high discharge rate (2C), both gradient structures showed significantly enhanced capacity retention (80% and 67% vs. 50%) compared to the conventional electrode, highlighting the effectiveness of microstructure engineering for fast charging. The study also investigated the temperature's impact on cycle life. After 200 cycles at 2°C and 45°C, all gradient structures demonstrated superior capacity retention (≈80%) compared to the conventional electrode (35%), suggesting the gradients mitigate degradation rate at high temperatures. Electrochemical impedance spectroscopy confirmed superior Li+ diffusion and lower resistivity in gradient electrodes. Simulations explored the influence of gradient profiles on reaction kinetics across the electrode thickness. Overall, this research demonstrates that the fast‐charging capability of graphite electrodes can be greatly enhanced by engineering the electrode microstructure, thereby making EV technology more accessible and appealing. [ABSTRACT FROM AUTHOR]

With the rise of wearable device applications, efficient energy storage devices with flexible properties have become an important research direction. Among these devices, supercapacitors with high stability and instantaneous high power output for energy storage systems have attracted research attention. In this study, we demonstrate the possibility of applying nitrogen-doped chromium (Cr:CrN) thin films to flexible electrostatic double-layer capacitor (EDLC) electrodes. Chromium (Cr) electrodes undergo nitriding through sputtering, imparting interstitial defect characteristics and a nanoporous structure to the Cr layers. The resulting Cr:CrN layer not only exhibits excellent electrical conductivity but also enhances the faradaic process due to its interstitial defect properties. Experimental findings demonstrate that EDLCs employing Cr:CrN thin film electrodes exhibit exceptional performance, including fast charging, high current density tolerance, and cost-effectiveness. On glass substrates, the device achieves a maximum specific capacitance value of 6.69 mF/cm2 and an energy density of 0.33 Wh/m2 at an operating voltage of 3 V. Meanwhile, the flexible device demonstrates a specific capacitance value of 0.90 mF/cm2 and an energy density of 0.02 Wh/m2 at an operating voltage of 2 V. These results underscore the significant potential of Cr:CrN films as electrodes for EDLCs, particularly in flexible applications. [ABSTRACT FROM AUTHOR]

This paper proposes a method that leads to a highly accurate state-of-charge dependent multi-stage constant current (MCC) charging algorithm for electric bicycle batteries to reduce the charging time without accelerating aging by avoiding Li-plating. First, the relation between the current rate, state-of-charge, and Li-plating is experimentally analyzed with the help of three-electrode measurements. Therefore, a SOC-dependent charging algorithm is proposed. Secondly, a SOC estimation algorithm based on an Extended Kalman Filter is developed in MATLAB/Simulink to conduct high accuracy SOC estimations and control precisely the charging algorithm. The results of the experiments showed that the Root Mean Square Error (RMSE) of SOC estimation is 1.08%, and the charging time from 0% to 80% SOC is reduced by 30%. [ABSTRACT FROM AUTHOR]

The acceleration of fast charging capabilities has emerged as a pivotal objective within the realms of the battery, electric vehicle, and energy storage sectors. However, the classical electrochemical models are not able to describe voltages of the cell (Ucell), anode (Ua), and cathode (Uc) at high C‐rates. Herein, Ucell, Ua, and Uc are experimentally obtained under various C‐rates (0.1–2C) and identified the charge transfer resistance of the cathode (RCT,c) as the primary rate‐limiting factor. Thus, the anode is established as a multi‐scale coupling model with Fick's law and phase separation model applied, to discuss their effect on Ua and Li‐ion concentration prediction. 2D reconstruction structures for the cathode is established with RCT,c effect considered. Finally, the Ua, Uc, and Ucell are successfully predicted at different C‐rates. Results propose an accurate and versatile electrochemical model and highlight the importance of considering limiting factors in electrochemical modeling for fast charging. [ABSTRACT FROM AUTHOR]

Carbonate-based electrolytes, known for their high solvation energy and high ionic conductivity at room temperature, present significant challenges in ultra-low temperature and fast charging applications. In the February issue of Nature, Fan and colleagues demonstrated that utilizing solvents like fluoroacetonitrile with small molecular size and low solvation energy, facilitates the creation of rapid ion-conduction ligand channels and enables the formation of an inorganic-rich interphase for high-performance ionic batteries, effectively addressing the aforementioned challenges. [ABSTRACT FROM AUTHOR]

This study examines the design and performance comparison of Proportional-Integral (PI) and Fuzzy Logic Controllers (FLC) for a Dual Active Bridge (DAB) converter, specifically within the framework of solar-integrated off-board fast charging for electric vehicles (EVs). The main goal is to create and assess control strategies that facilitate efficient and stable power transfer between the PV System and the EV battery, effectively managing the challenges associated with fluctuating solar irradiance and changing battery load conditions. The approach includes designing both PI and FLC controllers specifically for the DAB converter and then conducting a simulation-based assessment across various operating conditions. The PI controller is adjusted using traditional tuning methods, whereas the FLC is crafted to handle the system's nonlinearities. The evaluation focuses on key performance indicators such as voltage regulation, response time, and overall system performance. The results indicate that although PI controller performs adequately in steady-state scenarios, the FLC outperforms it in terms of dynamic response, especially when managing disturbances and system uncertainties. Additionally, the FLC improves the overall efficiency of the solar-powered charging system by optimizing power flow amidst fluctuating solar input and load conditions. The innovation of this study is rooted in applying a FLC to a DAB converter within the unique setting of solar-integrated fast charging for EVs, an area that appears underexplored in current literature. The proposed FLC provides a strong solution to the challenges of incorporating renewable energy into fast EV charging systems, contributing to the development of more sustainable and dependable charging infrastructure. [ABSTRACT FROM AUTHOR]

Structural batteries require electrodes with integrated energy storage and load-bearing properties. Adoption of structural batteries can lead to mass and volume savings in electrified transportation and aerospace applications by storing energy within the object's structural elements. However, to date, active materials investigated in structural batteries exhibit poor rate capabilities at higher C-rates and even worse performance at lower temperatures due to diffusion limitations. Organic radical polymers are promising alternatives because they possess fast-charging properties and good cycling stability. In this work, we integrate an organic radical polymer with carbon fiber (CF) fabric, in which the polymer acts as the active cathode material and the CF fabric possesses excellent tensile strength, modulus and electronic conductivity. At 20 °C, the structural cathodes exhibited a reversible capacity of 67 mAh g−1 at 1C-rate and an 88% capacity retention at 25C-rate. Further, these structural electrodes retained more than 50% of their performance at −10 °C (vs 20 °C). These electrodes were further examined in a full cell containing a graphite-based anode, demonstrating a pathway for utilizing redox-active polymer-based active materials in structural and fast-charging organic batteries. [ABSTRACT FROM AUTHOR]

This manuscript introduces a hybrid technique designed to enhance the simultaneous energy management (EM) of slow and fast-charge electric vehicles (EVs) within a smart parking lot. The proposed hybrid method combines the Archerfish Hunting Optimizer (AHO) and the Tree Hierarchical Deep Convolutional Neural Network (THDCNN), collectively referred to as the AHO-THDCNN technique. The primary objective of the AHO-THDCNN method is to reduce costs and alleviate the strain on the electrical grid. The THDCNN, a neural network model, plays a crucial role in forecasting valuable data by learning from and recognizing patterns within the training input-data samples. The AHO Approach is responsible for effectively managing the distribution of resources and addressing the energy requirements of both slow- and fast-charging EVs. The performance of the AHO-THDCNN approach is rigorously evaluated using the MATLAB software and compared with different existing approaches. The proposed method reaches its maximum energy level of 260 KW at 18 h, outperforming other existing methods in the comparison. In the proposed method, the efficiency is about 97% which is much better than the all other existing methods. This paper showcases the success of the AHO-THDCNN technique in achieving cost reduction and effective energy power management. It introduces an improvement strategy that modifies the existing algorithm for more efficient EM in smart parking lots. [ABSTRACT FROM AUTHOR]

Inorganic solid electrolytes offer inherently unique transport, thermal, and mechanical attributes that can potentially address the fast‐charging barriers of safety, performance, and degradation exhibited by their liquid counterparts; however, to achieve reliable fast charging while retaining long cycle life remains a challenge for all‐solid‐state lithium batteries (ASSLBs), which is hindered by the electro‐chemo‐mechanical and transport issues at solid–solid interface. Herein, a high‐entropy strategy is reported to design ideal argyrodite electrolytes for fast‐charging ASSLBs with boosted transport kinetics and mitigated electrolyte‐electrode reactions via anionic site disordering. As proof of concept, multiple aliovalent cations (Si4+/Ge4+/Sn4+) and anions (Cl−) are introduced to Li6PS5Br (LPSBr) to prepare its high‐entropy counterpart, HE‐LPSBrCl. As the configuration entropy increases from 1.35 to 2.29 R, the disordering increases by 6.83‐fold and ionic conductivity increases by nearly one order of magnitude (7.96 mS cm−1 at 30 °C for HE‐LPSBrCl). The HE‐LPSBrCl full cells deliver a high capacity of 67.7 mA h g−1 at 10 C, 61.5 times higher than that of LPSBr counterparts, and retain 85.6% of the capacity (96.2 mA h g−1 at 5 C) after 1400 cycles. Unwanted mechanical penetration of Li and interfacial delamination and particle cracking of composite cathode at high rates are successfully suppressed. [ABSTRACT FROM AUTHOR]

Fast charging is a critical factor for the widespread adoption of electric vehicles (EVs), yet it poses challenges to the durability of lithium-ion batteries (LiBs). This study develops an aging model for a 10 Ah LiB cell using COMSOL Multiphysics, integrating a one-dimensional electrochemical model with a zero-dimensional thermal model. The model is constructed using cell design and electrochemical parameters derived from existing literature, tailored to the specific electrode and electrolyte materials utilized in this study. Key aging phenomena, such as the Solid Electrolyte Interface (SEI) growth and lithium plating, are embedded within the model to simulate the aging patterns and the interplay between these factors across various C-rates and temperatures. Simulation results suggest that while higher charging rates can reduce charging time, they also lead to increased degradation, with lithium plating becoming more severe at these elevated rates. The model also indicates that temperature management during cell operation can influence cycle life, with strategic temperature increases potentially mitigating some negative effects of fast charging. The study also explores the concept of total charging time as an alternative metric for battery wear, examining its relationship with the charging current profile and temperature. Results indicate that while fast charging offers convenience, it significantly impacts cycle life, underscoring the need for optimized charging strategies. The insights from this work enhance the understanding of Li-ion cell aging mechanisms, shedding light on the complex trade-offs between charging speed, temperature management, and lifespan. This contributes to the development of more sophisticated battery management systems and charging protocols that aim to extend the operational life of LiBs while accommodating the demands of fast charging.

Increasing the charging rate and reducing the charging time for Li-ion batteries are crucial to realize the mainstream of electric vehicles. However, it is formidable to avoid the Li plating on graphite anode upon fast charging. Despite the tremendous progress in Li detection techniques, the fundamental mechanism of Li plating and its chemical/electrochemical responses upon cycling still remains elusive. Herein, we present a comprehensive electrochemical method to investigate the fast charging behavior of graphite electrode. A detailed analysis is directed toward understanding the changes in phase, composition, and morphology of the fast-charged graphite. By applying a resting process, we scrutinize the further reactions of the plated Li, which readily transforms into irreversible (dead) Li. We further develop a modified graphite electrode with a thin Ag coating as the Li reservoir. The plated Li can be "absorbed" by the Ag layer to form the Li-Ag solid solution that suppresses the formation of dead Li and provides structural stability, thus promoting the further lithiation of graphite and enhancing the reversibility. This work not only provides additional insights into the fast charging behavior of graphite electrode but also demonstrates a potential strategy to improve the fast charging performance of graphite anode.

This article examines in depth the most recent thermal testing techniques for lithium-ion batteries (LIBs). Temperature estimation circuits can be divided into six divisions based on modeling and calculation methods, including electrochemical computational modeling, equivalent electric circuit modeling (EECM), machine learning (ML), digital analysis, direct impedance measurement and magnetic nanoparticles as a base. Complexity, accuracy and computational cost-based EECM circuits are feasible. The accuracy, usability and adaptability of diagrams produced using ML have the potential to be very high. However, none of them can anticipate the low-cost integrated BMS in real time due to their high computational costs. An appropriate solution might be a hybrid strategy that combines EECM and ML. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Drainage & Irrigation Machinery Engineering / Paiguan Jixie Gongcheng Xuebao is the property of Editorial Department of Drainage & Irrigation Machinery Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Advances in New & Renewable Energy is the property of Editorial Office of Advances in New & Renewable Energy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The aging of supercapacitors (SCs) depends on several factors, with temperature being one of the most important. When this is high, degradation of the electrolyte occurs. The impurities generated in its decomposition reduce the accessibility of the ions to the porous structure on the surface of the electrode, which reduces its capacity and increases its internal resistance. In some applications, such as electric vehicles whose storage system consists of SCs, fast chargers, which supply very high power, are used. This can lead to an increase in temperature and accelerated aging of the cells. Therefore, it is important to know how the temperature of the SCs evolves in these cases and what parameters it depends on, both electrical and thermal. In this contribution, mathematical formulae have been developed to determine the evolution of the temperature in time and its maximum value during the transient state. The formulae for obtaining the mean and maximum temperature, once the thermal steady state (TSS) has been reached, are also shown, considering that the charger cells are recharged from the grid at a constant current. Based on this formulation, the thermal analysis of a specific case is determined. [ABSTRACT FROM AUTHOR]

Silicon (Si) is widely used as a lithium‐ion‐battery anode owing to its high capacity and abundant crustal reserves. However, large volume change upon cycling and poor conductivity of Si cause rapid capacity decay and poor fast‐charging capability limiting its commercial applications. Here, we propose a multilevel carbon architecture with vertical graphene sheets (VGSs) grown on surfaces of subnanoscopically and homogeneously dispersed Si–C composite nanospheres, which are subsequently embedded into a carbon matrix (C/VGSs@Si–C). Subnanoscopic C in the Si–C nanospheres, VGSs, and carbon matrix form a three‐dimensional conductive and robust network, which significantly improves the conductivity and suppresses the volume expansion of Si, thereby boosting charge transport and improving electrode stability. The VGSs with vast exposed edges considerably increase the contact area with the carbon matrix and supply directional transport channels through the entire material, which boosts charge transport. The carbon matrix encapsulates VGSs@Si–C to decrease the specific surface area and increase tap density, thus yielding high first Coulombic efficiency and electrode compaction density. Consequently, C/VGSs@Si–C delivers excellent Li‐ion storage performances under industrial electrode conditions. In particular, the full cells show high energy densities of 603.5 Wh kg−1 and 1685.5 Wh L−1 at 0.1 C and maintain 80.7% of the energy density at 3 C. [ABSTRACT FROM AUTHOR]

The rising demand to electrify power‐intensive energy devices and systems, as well as fast charging, has imposed a great challenge in current chemistries for lithium‐ion batteries (LIBs), whose rate capabilities are predominantly restricted by the conventional graphite anode. Niobium pentoxide (Nb2O5) is a promising high‐rate anode material for LIBs with extraordinary rate performance beyond 5 C and good theoretical capacity (~202 mAh ⋅ g−1). With many possible crystal structures, Nb2O5 has a complicated family of different polymorphs, each of which can possess distinct electrochemical properties, specific capacity, cycling stability, and rate capability. This special feature of Nb2O5 makes it a challenging material to understand and requires a comprehensive investigation of every one of its polymorphs. In this paper, we summarize the state‐of‐the‐art research on Nb2O5 polymorphs for LIBs, with an emphasis on the advanced characterisation techniques that have been used to probe the electrochemical processes of Nb2O5. Key findings related to Nb2O5 that have emerged from the previous studies are highlighted, and new scientific questions that are important for its scale‐up and commercialization are proposed for future research. [ABSTRACT FROM AUTHOR]