[HTML][HTML] Overview of batteries and battery management for electric vehicles

W Liu, T Placke, KT Chau - Energy Reports, 2022 - Elsevier
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 …

[HTML][HTML] China's battery electric vehicles lead the world: achievements in technology system architecture and technological breakthroughs

H He, F Sun, Z Wang, C Lin, C Zhang, R Xiong… - Green Energy and …, 2022 - Elsevier
Developing new energy vehicles has been a worldwide consensus, and developing new
energy vehicles characterized by pure electric drive has been China's national strategy …

Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation

J Zhu, Y Wang, Y Huang, R Bhushan Gopaluni… - Nature …, 2022 - nature.com
Accurate capacity estimation is crucial for the reliable and safe operation of lithium-ion
batteries. In particular, exploiting the relaxation voltage curve features could enable battery …

Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis

H Meng, M Geng, T Han - Reliability Engineering & System Safety, 2023 - Elsevier
Prognostics and health management (PHM) are developed to accurately estimate the state
of health (SOH) of lithium-ion batteries, which are crucial parts for planning the employment …

A novel method for state of health estimation of lithium-ion batteries based on improved LSTM and health indicators extraction

Y Ma, C Shan, J Gao, H Chen - Energy, 2022 - Elsevier
State of health (SOH) is a crucial challenge to guarantee the reliability and safety of the
electric vehicles (EVs), due to the complex aging mechanism. A novel SOH estimation …

[HTML][HTML] A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles

Z Wang, G Feng, D Zhen, F Gu, A Ball - Energy Reports, 2021 - Elsevier
With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …

[HTML][HTML] A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery

X Sui, S He, SB Vilsen, J Meng, R Teodorescu, DI Stroe - Applied Energy, 2021 - Elsevier
Lithium-ion batteries are used in a wide range of applications including energy storage
systems, electric transportations, and portable electronic devices. Accurately obtaining the …

Mitigation strategies for Li-ion battery thermal runaway: A review

B Xu, J Lee, D Kwon, L Kong, M Pecht - Renewable and Sustainable …, 2021 - Elsevier
Li-ion batteries are commercially successful power sources for diverse applications.
However, the characteristics of Li-ion batteries make them susceptible to thermal runaway …

The challenge and opportunity of battery lifetime prediction from field data

V Sulzer, P Mohtat, A Aitio, S Lee, YT Yeh… - Joule, 2021 - cell.com
Accurate battery life prediction is a critical part of the business case for electric vehicles,
stationary energy storage, and nascent applications such as electric aircraft. Existing …

Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling

H Rauf, M Khalid, N Arshad - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Designing and deployment of state-of-the-art electric vehicles (EVs) in terms of low cost and
high driving range with appropriate reliability and security are identified as the key towards …