研究论文
State of charge estimation for Li-ion battery during dynamic driving process based on dual-channel deep learning methods and conditional judgement
Qiang Zhang, Guangwei Wan, Chaoran Li, Jianke Li, Xiaori Liu, Menghan Li, Xiaori Liu, Menghan Li
Shandong University Hebei University of Technology PLA Army Engineering University
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逐年被引趋势
1370
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26
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23
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2.46
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同类平均 = 1
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学术脉络
学科主题
工程Advanced Battery Technologies Research
Advancements in Battery Materials · Electric and Hybrid Vehicle Technologies
参考文献 27
A method for state-of-charge estimation of LiFePO4 batteries based on a dual-circuit state observer
被引 151Xiaopeng Tang, Yujie Wang, Zonghai Chen · Journal of Power Sources · 2015
Hyperopt: a Python library for model selection and hyperparameter optimization
被引 1,017James Bergstra, Brent Komer, Chris Eliasmith · Computational Science & Discovery · 2015
State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation
被引 541Wei He, Nicholas Williard, Chaochao Chen · International Journal of Electrical Power & Energy Systems · 2014
此处列出前 3 条
引用本文 23
A highly effective and robust structure-based LSTM with feature-vector tuning framework for high-accuracy SOC estimation in EV
被引 43Junyoung Ahn, Yoonseok Lee, Byeongjik Han · Energy · 2025
Enhanced SOC and SOH estimation for Li-ion batteries based on combining adaptive central difference Kalman filter and discrete-time sliding mode observer
被引 34Junjie Wei, Youhong Wan, Chuanming Zhang · Journal of Energy Storage · 2025
State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic - deep neural networks models
被引 20Zuriani Mustaffa, Mohd Herwan Sulaiman, Jeremiah Isuwa · Energy Storage and Saving · 2025
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