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维 龚

Southwest Forestry University

Bohai Road

Kunming

China

  • Southwest Forestry University

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Scholarly Papers (1)

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State of Charge Prediction for Lithium-ion Batteries Based on a CNN-LSTM-AEKF Hybrid Model

Number of pages: 22 Posted: 16 Apr 2026
维 龚, Jiguang Wang, 忠. 建. 许, Chao He, Yanlin Chen, Huawei Xu, 庆. 龙. 赵 and Jiaqiang Li
Southwest Forestry University, CATARC Automotive Test Center (Kunming) Co., Ltd, affiliation not provided to SSRN, Southwest Forestry University, Southwest Forestry University, Southwest Forestry University, Southwest Forestry University and Southwest Forestry University
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Abstract:

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KEYWORDS： Feature extraction, LSTM, Adaptive Extended Kalman Filter, Dynamic adjustment, Residual Statistical Feedback, Robustness.