An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks
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- 作者：Ji Wu ; Chenbin Zhang ; Zonghai Chen ; chenzh@ustc.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Remaining useful life ; Charge process ; Neural networks ; Importance sampling
- 刊名：Applied Energy
- 出版年：2016
- 出版时间：1 July 2016
- 年：2016
- 卷：173
- 期：Complete
- 页码：134-140
- 全文大小：624 K
文摘
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An online RUL estimation method for lithium-ion battery is proposed.
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RUL is described by the difference among battery terminal voltage curves.
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A feed forward neural network is employed for RUL estimation.
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Importance sampling is utilized to select feed forward neural network inputs.