Physics-based battery SOC estimation methods: Recent advances and future perspectives

L Wu, Z Lyu, Z Huang, C Zhang, C Wei - Journal of Energy Chemistry, 2024 - Elsevier
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 …

[HTML][HTML] A review of machine learning state-of-charge and state-of-health estimation algorithms for lithium-ion batteries

Z Ren, C Du - Energy Reports, 2023 - Elsevier
Vehicle electrification has been proven to be an efficient way to reduce carbon dioxide
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …

Lithium-ion battery health estimation with real-world data for electric vehicles

J Tian, X Liu, S Li, Z Wei, X Zhang, G **ao, P Wang - Energy, 2023 - Elsevier
Complex environments and variable working conditions lead to irreversible attenuation of
battery pack capacity in electric vehicles (EVs). Online capacity estimation is of great …

Physics-informed neural network approach for heat generation rate estimation of lithium-ion battery under various driving conditions

H Pang, L Wu, J Liu, X Liu, K Liu - Journal of Energy Chemistry, 2023 - Elsevier
Accurate insight into the heat generation rate (HGR) of lithium-ion batteries (LIBs) is one of
key issues for battery management systems to formulate thermal safety warning strategies in …

A hierarchical adaptive extended Kalman filter algorithm for lithium-ion battery state of charge estimation

D Wang, Y Yang, T Gu - Journal of Energy Storage, 2023 - Elsevier
State of charge (SOC) is a key state in the battery management system (BMS). For a second-
order equivalent circuit model (ECM), a hierarchical adaptive extended Kalman filter …

Estimation of lithium-ion battery discharge capacity by integrating optimized explainable-AI and stacked LSTM model

V Vakharia, M Shah, P Nair, H Borade, P Sahlot… - Batteries, 2023 - mdpi.com
Accurate lithium-ion battery state of health evaluation is crucial for correctly operating and
managing battery-based energy storage systems. Experimental determination is problematic …

Evaluating the heat generation characteristics of cylindrical lithium-ion battery considering the discharge rates and N/P ratio

L Wu, K Liu, J Liu, H Pang - Journal of Energy Storage, 2023 - Elsevier
Although lithium-ion batteries (LIBs) have received more attentions as the increasing
number of new energy vehicles, in-depth exploration for the heat generation characteristics …

A weighted Pearson correlation coefficient based multi-fault comprehensive diagnosis for battery circuits

Z Li, Y Yang, L Li, D Wang - Journal of Energy Storage, 2023 - Elsevier
Fault diagnosis for battery circuit is particularly important for the safe management of electric
vehicles. Previous correlation based fault diagnosis method only detect some faults, ignores …

Improved multi-time scale lumped thermoelectric coupling modeling and parameter dispersion evaluation of lithium-ion batteries

H Shi, S Wang, C Fernandez, C Yu, W Xu, BE Dablu… - Applied energy, 2022 - Elsevier
The rapid development of new energy fields such as electric vehicles and smart grids has
put forward higher requirements for the power management of battery integrated systems …

Accurate capacity and remaining useful life prediction of lithium-ion batteries based on improved particle swarm optimization and particle filter

H Pang, K Chen, Y Geng, L Wu, F Wang, J Liu - Energy, 2024 - Elsevier
Accurate prediction of capacity and remaining useful life (RUL) for lithium-ion batteries
(LIBs) is crucial for ensuring safe and reliable operation of electric vehicles. However, the …