Modeling and online parameter identification of Li-Polymer battery cells for SOC estimation

Author:

Rahimi-Eichi H.,Baronti F.,Chow M.-Y.

Publisher

IEEE

Cited by 42 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Model-based impending lithium battery terminal voltage collapse detection via data-driven and machine learning approaches;Journal of Energy Storage;2024-05

2. A Robust State of Charge Estimator Based on the Fourier Neural Operator for xEV Batteries;Journal of The Electrochemical Society;2023-10-01

3. Performance comparison of lithium polymer battery SOC estimation using GWO-BiLSTM and cutting-edge deep learning methods;Electrical Engineering;2023-07-12

4. Capacity Fade Estimation of LiFePo Cells Based on Improved Impulse Response Method: Experimental Results;2023 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC);2023-03-29

5. Scientometric research and critical analysis of battery state-of-charge estimation;Journal of Energy Storage;2023-02

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