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 …
[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 …
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
Complex environments and variable working conditions lead to irreversible attenuation of
battery pack capacity in electric vehicles (EVs). Online capacity estimation is of great …
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
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 …
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 …
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
Accurate lithium-ion battery state of health evaluation is crucial for correctly operating and
managing battery-based energy storage systems. Experimental determination is problematic …
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
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 …
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 …
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
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 …
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
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 …
(LIBs) is crucial for ensuring safe and reliable operation of electric vehicles. However, the …