[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 …

Deep learning framework for lithium-ion battery state of charge estimation: Recent advances and future perspectives

J Tian, C Chen, W Shen, F Sun, R Xiong - Energy Storage Materials, 2023 - Elsevier
Accurate state of charge (SOC) constitutes the basis for reliable operations of lithium-ion
batteries. The deep learning technique, a game changer in many fields, has recently …

Flexible battery state of health and state of charge estimation using partial charging data and deep learning

J Tian, R Xiong, W Shen, J Lu, F Sun - Energy Storage Materials, 2022 - Elsevier
Accurately monitoring battery states over battery life plays a central role in building
intelligent battery management systems. This study proposes a flexible method using only …

Prognostics and health management of Lithium-ion battery using deep learning methods: A review

Y Zhang, YF Li - Renewable and sustainable energy reviews, 2022 - Elsevier
Prognostics and health management (PHM) is developed to guarantee the safety and
reliability of Lithium-ion (Li-ion) battery during operations. Due to the advantages of deep …

A review of deep learning approach to predicting the state of health and state of charge of lithium-ion batteries

K Luo, X Chen, H Zheng, Z Shi - Journal of Energy Chemistry, 2022 - Elsevier
In the field of energy storage, it is very important to predict the state of charge and the state of
health of lithium-ion batteries. In this paper, we review the current widely used equivalent …

Battery state-of-charge estimation amid dynamic usage with physics-informed deep learning

J Tian, R Xiong, J Lu, C Chen, W Shen - Energy Storage Materials, 2022 - Elsevier
Accurate estimation of state of charge (SOC) constitutes the basis to enable the reliable
operations of lithium-ion batteries. The recent development in deep learning provides an …

Data-driven battery state of health estimation based on random partial charging data

Z Deng, X Hu, P Li, X Lin, X Bian - IEEE Transactions on Power …, 2021 - ieeexplore.ieee.org
The rapid development of battery technology has promoted the deployment of electric
vehicles (EVs). To ensure the healthy and sustainable development of EVs, it is urgent to …

Modeling, state of charge estimation, and charging of lithium‐ion battery in electric vehicle: a review

M Adaikkappan… - International Journal of …, 2022 - Wiley Online Library
Extension of driving range and battery run time optimization are necessary key points in the
modeling of Electric Vehicle (EV). In this view, Battery Management System (BMS) plays a …

Battery degradation prediction against uncertain future conditions with recurrent neural network enabled deep learning

J Lu, R Xiong, J Tian, C Wang, CW Hsu, NT Tsou… - Energy Storage …, 2022 - Elsevier
Accurate degradation trajectory and future life are the key information of a new generation of
intelligent battery and electrochemical energy storage systems. It is very challenging to …

[HTML][HTML] Nonlinear health evaluation for lithium-ion battery within full-lifespan

H You, J Zhu, X Wang, B Jiang, H Sun, X Liu… - Journal of Energy …, 2022 - Elsevier
Abstract Lithium-ion batteries (LIBs), as the first choice for green batteries, have been widely
used in energy storage, electric vehicles, 3C devices, and other related fields, and will have …