A method for state of energy estimation of lithium-ion batteries based on neural network model
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- 作者：Guangzhong Dong ; Xu Zhang ; Chenbin Zhang ; Zonghai Chen ; chenzh@ustc.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：State of energy ; Wavelet neural network ; Lithium-ion batteries ; Particle filter
- 刊名：Energy
- 出版年：2015
- 出版时间：October 2015
- 年：2015
- 卷：90
- 期：part_P1
- 页码：879-888
- 全文大小：4887 K
文摘
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State-of-charge is replaced by state-of-energy to determine cells residual energy.
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The battery state-space model is established based on a neural network.
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Temperature and current influence are considered to improve the model accuracy.
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The particle filter is used for state-of-energy estimation to improve accuracy.
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The robustness of new method is validated under dynamic experimental conditions.