[HTML][HTML] Overview of batteries and battery management for electric vehicles
Popularization of electric vehicles (EVs) is an effective solution to promote carbon neutrality,
thus combating the climate crisis. Advances in EV batteries and battery management …
thus combating the climate crisis. Advances in EV batteries and battery management …
Physics-based battery SOC estimation methods: Recent advances and future perspectives
The reliable prediction of state of charge (SOC) is one of the vital functions of advanced
battery management system (BMS), which has great significance towards safe operation of …
battery management system (BMS), which has great significance towards safe operation of …
Battery technologies and functionality of battery management system for EVs: Current status, key challenges, and future prospectives
Research and development towards electric vehicles (EVs) are getting exclusive attention
because of their eco-friendly nature, suppression of petroleum products, greener transport …
because of their eco-friendly nature, suppression of petroleum products, greener transport …
[PDF][PDF] 基于电化学模型的锂离子电池荷电状态估计方法综述
武龙星， 庞辉， 晋佳敏， 耿院飞， 刘凯 - 电工技术学报, 2022 - dgjsxb.ces-transaction.com
摘要荷电状态(SOC) 的准确估计是电池管理系统的重要功能之一. 当前, 基于模型的方法是实现
锂离子电池SOC 估计最常用的解决方案. 相比于等效电路模型(ECM), 由于电化学模型(EM) …
锂离子电池SOC 估计最常用的解决方案. 相比于等效电路模型(ECM), 由于电化学模型(EM) …
State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives
Accurate state of health (SOH) prediction is significant to guarantee operation safety and
avoid latent failures of lithium-ion batteries. With the development of communication and …
avoid latent failures of lithium-ion batteries. With the development of communication and …
A comprehensive overview and comparison of parameter benchmark methods for lithium-ion battery application
To deal with the indeterminacy of the renewable energy in power system, electrochemical
energy storage system is a promising solution for improving the flexibility of grid. As lithium …
energy storage system is a promising solution for improving the flexibility of grid. As lithium …
Model prediction control-based energy management combining self-trending prediction and subset-searching algorithm for hydrogen electric multiple unit train
To apply the actual fuel cell hybrid system, improve the efficiency of fuel cells, and reduce
the operating cost, the model predictive control (MPC)-based energy management strategy …
the operating cost, the model predictive control (MPC)-based energy management strategy …
A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries …
Accurate state of charge (SOC) and closed-circuit voltage (CCV) prediction is essential for
lithium-ion batteries and their model performance. In this study, a novel feedback correction …
lithium-ion batteries and their model performance. In this study, a novel feedback correction …
Multiscale-multidomain model order reduction of Lithium-ion batteries for automobile application: A review
S Rizvi, MW Tahir, N Ramzan, C Merten - Journal of Energy Storage, 2024 - Elsevier
Lithium-ion batteries have become a preferred choice for energy storage because of having
high energy density, lower discharge rate, and long cycle life than other battery chemistries …
high energy density, lower discharge rate, and long cycle life than other battery chemistries …
Model order reduction techniques for physics-based lithium-ion battery management: A survey
To unlock the promise of electrified transportation and smart grids, emerging advanced
battery management systems (BMSs) will play an important role in the health-aware …
battery management systems (BMSs) will play an important role in the health-aware …