Design and optimization of lithium-ion battery as an efficient energy storage device for electric vehicles: A comprehensive review
Lithium-ion batteries (LIBs) have nowadays become outstanding rechargeable energy
storage devices with rapidly expanding fields of applications due to convenient features like …
storage devices with rapidly expanding fields of applications due to convenient features like …
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 …
Porous electrode modeling and its applications to Li‐ion batteries
Z Chen, DL Danilov, RA Eichel… - Advanced Energy …, 2022 - Wiley Online Library
Battery modeling has become increasingly important with the intensive development of Li‐
ion batteries (LIBs). The porous electrode model, relating battery performances to the …
ion batteries (LIBs). The porous electrode model, relating battery performances to the …
[PDF][PDF] 基于电化学模型的锂离子电池荷电状态估计方法综述
武龙星， 庞辉， 晋佳敏， 耿院飞， 刘凯 - 电工技术学报, 2022 - dgjsxb.ces-transaction.com
摘要荷电状态(SOC) 的准确估计是电池管理系统的重要功能之一. 当前, 基于模型的方法是实现
锂离子电池SOC 估计最常用的解决方案. 相比于等效电路模型(ECM), 由于电化学模型(EM) …
锂离子电池SOC 估计最常用的解决方案. 相比于等效电路模型(ECM), 由于电化学模型(EM) …
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 …
State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives
Accurate state of health (SOH) prediction is significant to guarantee operation safety and
avoid latent failures of lithium-ion batteries. With the development of communication and …
avoid latent failures of lithium-ion batteries. With the development of communication and …
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 …
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 …
Lithium battery state-of-health estimation and remaining useful lifetime prediction based on non-parametric aging model and particle filter algorithm
X Li, C Yuan, Z Wang, J He, S Yu - Etransportation, 2022 - Elsevier
State of health estimation (SOH) and remaining useful lifetime (RUL) prediction are
significant health indicators for improving the safety and reliability of battery systems. Herein …
significant health indicators for improving the safety and reliability of battery systems. Herein …
Low‐complexity state of charge and anode potential prediction for lithium‐ion batteries using a simplified electrochemical model‐based observer under variable load …
The accurate knowledge of the physics‐based state of charge (SOC) and anode potential for
lithium‐ion batteries (LIBs) plays an essential role in the driving range prediction and charge …
lithium‐ion batteries (LIBs) plays an essential role in the driving range prediction and charge …