Evaluation of the safety standards system of power batteries for electric vehicles in China

Q Yu, Y Nie, S Peng, Y Miao, C Zhai, R Zhang, J Han… - Applied energy, 2023 - Elsevier
In recent years, electric vehicle safety incidents related to batteries have occurred frequently
enough to question the adequacy of the current international safety standards. As the world's …

[HTML][HTML] Towards a safer lithium-ion batteries: A critical review on cause, characteristics, warning and disposal strategy for thermal runaway

Y Yang, R Wang, Z Shen, Q Yu, R Xiong… - Advances in Applied …, 2023 - Elsevier
Lithium-ion batteries have become the best choice for battery energy storage systems and
electric vehicles due to their excellent electrical performances and important contributions to …

Intelligent estimation on state of health of lithium-ion power batteries based on failure feature extraction

H Zuo, J Liang, B Zhang, K Wei, H Zhu, J Tan - Energy, 2023 - Elsevier
In order to provide an accurate and reliable effective state-of-health (SOH) estimation, a
novel hybrid data-driven estimation method by failure feature extraction is proposed. Firstly …

[HTML][HTML] Battery SOH estimation method based on gradual decreasing current, double correlation analysis and GRU

C Zhang, L Luo, Z Yang, S Zhao, Y He, X Wang… - Green Energy and …, 2023 - Elsevier
In intelligent lithium-ion battery management, the state of health (SOH) of battery is essential
for the batteries' running in electric vehicles. Popularly, the battery SOH is estimated by …

Online health prognosis for lithium-ion batteries under dynamic discharge conditions over wide temperature range

S Liu, Y Nie, A Tang, J Li, Q Yu, C Wang - ETransportation, 2023 - Elsevier
Battery state of health assessment is crucial for enabling effective battery safety
management and optimization control. However, battery health estimation often becomes …

State of health estimation of lithium-ion batteries based on multi-health features extraction and improved long short-term memory neural network

S Peng, Y Sun, D Liu, Q Yu, J Kan, M Pecht - Energy, 2023 - Elsevier
Accurate state of health estimation of lithium-ion batteries is essential to enhance the
reliability and safety of a battery system. However, the estimation accuracy based on a data …

A novel lithium-ion battery state of charge estimation method based on the fusion of neural network and equivalent circuit models

A Tang, Y Huang, S Liu, Q Yu, W Shen, R Xiong - Applied Energy, 2023 - Elsevier
Accurate estimating the state of charge (SOC) can improve battery reliability, safety, and
extend battery service life. The existing battery models used for SOC estimation …

State of health estimation method for lithium-ion batteries based on multiple dynamic operating conditions

Q Yu, Y Nie, S Liu, J Li, A Tang - Journal of Power Sources, 2023 - Elsevier
Lithium-ion battery state of health estimation is an important task for electric vehicles.
However, the uncertainty and complexity of operating conditions pose significant challenges …

Health and lifespan prediction considering degradation patterns of lithium-ion batteries based on transferable attention neural network

A Tang, Y Jiang, Y Nie, Q Yu, W Shen, MG Pecht - Energy, 2023 - Elsevier
With the continuous concern on the safety of battery systems, accurate and rapid
assessment of battery degradation is essential for practical applications. In this paper, a …

A Review of Expert Hybrid and Co-Estimation Techniques for SOH and RUL Estimation in Battery Management System with Electric Vehicle Application

T Alsuwian, S Ansari, MAAM Zainuri, A Ayob… - Expert Systems with …, 2024 - Elsevier
To improve the functionality and efficiency of electric vehicles (EVs), the smart battery
management system (BMS) is essential. The accurate estimation of the state of health (SOH) …