A comprehensive overview and comparison of parameter benchmark methods for lithium-ion battery application

J Peng, J Meng, J Wu, Z Deng, M Lin, S Mao… - Journal of Energy …, 2023 - Elsevier
To deal with the indeterminacy of the renewable energy in power system, electrochemical
energy storage system is a promising solution for improving the flexibility of grid. As lithium …

[HTML][HTML] Recent advances in model-based fault diagnosis for lithium-ion batteries: A comprehensive review

Y Xu, X Ge, R Guo, W Shen - Renewable and Sustainable Energy Reviews, 2025 - Elsevier
Lithium-ion batteries (LIBs) have found wide applications in a variety of fields such as
electrified transportation, stationary storage and portable electronics devices. A battery …

[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) …

Embedded distributed temperature sensing enabled multistate joint observation of smart lithium-ion battery

Z Wei, J Hu, H He, Y Yu, J Marco - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate monitoring of the internal statuses is highly valuable for the management of the
lithium-ion battery (LIB). This article proposes a thermal-model-based method for multistate …

A review of lithium-ion battery capacity estimation methods for onboard battery management systems: recent progress and perspectives

J Peng, J Meng, D Chen, H Liu, S Hao, X Sui, X Du - Batteries, 2022 - mdpi.com
With the widespread use of Lithium-ion (Li-ion) batteries in Electric Vehicles (EVs), Hybrid
EVs and Renewable Energy Systems (RESs), much attention has been given to Battery …

An optimized random forest regression model for li-ion battery prognostics and health management

G Wang, Z Lyu, X Li - Batteries, 2023 - mdpi.com
This study proposes an optimized random forest regression model to achieve online battery
prognostics and health management. To estimate the battery state of health (SOH), two …

An information analysis based online parameter identification method for lithium-ion batteries in electric vehicles

R Guo, W Shen - IEEE Transactions on Industrial Electronics, 2023 - ieeexplore.ieee.org
This article proposes an information analysis-based multiple adaptive forgetting factors (FFs)
recursive least squares (IA-MAFF-RLS) method to identify model parameters of lithium-ion …

Rapid Lithium-ion battery impedance measurements using binary sequence with optimized frequency components

J Meng, X Du, J Peng, M Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Battery impedance provides rich information that facilitates battery state estimation and
failure diagnosis, yet the current impedance measurement techniques are quite laborious …

Multi-scenarios transferable learning framework with few-shot for early lithium-ion battery lifespan trajectory prediction

J Meng, Y You, M Lin, J Wu, Z Song - Energy, 2024 - Elsevier
Capturing the lifespan trajectory of lithium-ion (Li-ion) batteries in the early stage is critical
for the operation and maintenance of battery energy storage systems (BESSs). Recently …

Lithium-ion battery state-of-charge estimation using electrochemical model with sensitive parameters adjustment

J Wang, J Meng, Q Peng, T Liu, X Zeng, G Chen, Y Li - Batteries, 2023 - mdpi.com
State-of-charge (SOC) estimation of lithium-ion (Li-ion) batteries with good accuracy is of
critical importance for battery management systems. For the model-based methods, the …