研究论文
Deep learning framework designed for high-performance lithium-ion batteries state monitoring
Paul Takyi‐Aninakwa, Shunli Wang, Guangchen Liu, Carlos Fernández, Wenbin Kang, Yingze Song
Southwest University of Science and Technology State Key Laboratory of Environmental-friendly Energy Materials Inner Mongolia University of Technology Aalborg University
来源Renewable and Sustainable Energy Reviews
年份2025
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工程Advanced Battery Technologies Research
Advancements in Battery Materials · Control Systems and Identification
参考文献 44
Online joint-prediction of multi-forward-step battery SOC using LSTM neural networks and multiple linear regression for real-world electric vehicles
被引 216Jichao Hong, Zhenpo Wang, Wen Chen · Journal of Energy Storage · 2020
State of charge estimation of lithium-ion batteries using hybrid autoencoder and Long Short Term Memory neural networks
被引 173Mohammad Fasahat, Mohammad Manthouri · Journal of Power Sources · 2020
Combined internal resistance and state-of-charge estimation of lithium-ion battery based on extended state observer
被引 151Li Ning Sun, Guanru Li, Fengqi You · Renewable and Sustainable Energy Reviews · 2020
此处列出前 3 条
引用本文 34
A Critical Review of AI-Based Battery Remaining Useful Life Prediction for Energy Storage Systems
被引 19Kuo Yang, Shunli Wang, Lei Zhou · Batteries · 2025
Robust state-of-charge estimation for LiFePO₄ Lithium-ion batteries with pronounced voltage plateau regions
被引 15Kaixuan Zhang, Cheng Chen, E Lixin · Applied Energy · 2025
Early detection of internal short circuit faults in lithium-ion battery packs using dynamic time warping and Gaussian mixture clustering
被引 8Qi Zuo, Meng Zhang, Ke Fu · International Journal of Electrochemical Science · 2025
按被引量排序，此处列出前 3 条