[HTML][HTML] A Comprehensive Review of Multiple Physical and Data-Driven Model Fusion Methods for Accurate Lithium-Ion Battery Inner State Factor Estimation

J Tao, S Wang, W Cao, C Fernandez, F Blaabjerg - Batteries, 2024 - mdpi.com
With the rapid global growth in demand for renewable energy, the traditional energy
structure is accelerating its transition to low-carbon, clean energy. Lithium-ion batteries, due …

Target decomposition-led light-weighted offline training strategy-aided data-driven state-of-charge online estimation during constant current charging conditions over …

G Cao, Y Jia, S Zhang, S Chen, Y Geng, R Feng… - Energy, 2024 - Elsevier
This paper develops a novel target decomposition-led light-weighted offline training strategy-
aided data-driven state-of-charge (SOC) online estimation method during constant current …

Physics-based parameter identification of an electrochemical model for lithium-ion batteries with two-population optimization method

A Tian, K Dong, XG Yang, Y Wang, L He, Y Gao… - Applied Energy, 2025 - Elsevier
Abstract Pseudo-two-dimensional (P2D) models are increasingly promising for battery
management systems due to their high accuracy, rooted in physical principles. However …

An intelligent matching method for the equivalent circuit of electrochemical impedance spectroscopy based on Random Forest

W Chen, B Yan, A Xu, X Mu, X Zhou, M Jiang… - Journal of Materials …, 2025 - Elsevier
One of the core works of analyzing Electrochemical Impedance Spectroscopy (EIS) data is to
select an appropriate equivalent circuit model to quantify the parameters of the …

Joint prediction of state of health and remaining useful life for lithium-ion batteries based on health features optimization and multi-model fusion

D Zheng, S Man, X Guo, Y Ning - Ionics, 2024 - Springer
Accurate prediction of the state of health (SOH) and remaining useful life (RUL) of batteries
is essential for ensuring their safe and stable operation. Given the strong correlation …

[HTML][HTML] Novel low-complexity model development for Li-ion cells using online impedance measurement

A Kulkarni, A Nadeem, R Di Fonso, Y Zheng… - Journal of Energy …, 2024 - Elsevier
Modeling of Li-ion cells is used in battery management systems (BMS) to determine key
states such as state-of-charge (SoC), state-of-health (SoH), etc. Accurate models are also …

High Rate Performance of Single‐Crystalline NCM Upcycled from Spent Lithium‐Ion Batteries Via Direct Recovery and Modification

K Wang, H Zhang, W Dou, K Wang… - Advanced Functional …, 2024 - Wiley Online Library
The global expansion of spent lithium‐ion batteries (LIBs) presents both an urgent
environmental issue and a significant economic opportunity, driving the development of …

An improved equalization and energy support strategy for battery powered electric motor drives

N Jabbour, E Tsioumas, D Papagiannis… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This paper proposes an improved Lithium-ion (Li-ion) battery management system (BMS)
that provides cell-to-cell equalization and energy support with adjustable current according …

Strong tracking adaptive window multi‐innovation cubature Kalman filter algorithm for lithium‐ion battery state of energy estimation

L Lin, S Wang, X Yang - International Journal of Circuit Theory …, 2024 - Wiley Online Library
Accurate estimation of lithium‐ion battery state of energy (SOE) is an important prerequisite
for prolonging battery life and ensuring battery safety. To achieve a high‐precision …

Comparative Analysis of Electrical Equivalent Circuit Models for Lithium-Ion Batteries

N Errifai, A Rachid, S Khamlichi, E Saidi… - … Conference on Digital …, 2024 - Springer
Accurate modeling of lithium-ion batteries is crucial for battery management systems in
ensuring reliability, efficiency, and performance for system operations such as estimating …