A length ratio based neural network energy management strategy for online control of plug-in hybrid electric city bus
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- 作者：He Tian ; Ziwang Lu ; Xu Wang ; Xinlong Zhang ; Yong Huang ; Guangyu Tian ; tian_gy@tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Plug-in hybrid electric city bus (PHECB) ; Energy management strategy ; Online optimization ; Energy efficiency ; Trip information ; Neural network (NN)
- 刊名：Applied Energy
- 出版年：2016
- 出版时间：1 September 2016
- 年：2016
- 卷：177
- 期：Complete
- 页码：71-80
- 全文大小：3315 K
文摘
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Neural network was applied to interpret mechanisms of optimal control commands.
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Length ratio was chosen as the neural network module input variable to represent trip information.
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The simplified neural network module structure can reduce calculation time and memory usage of micro-controller.
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Neural network based energy management strategy can be used online effectively.
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The proposed strategy can be regarded as an approximated global optimal energy management strategy.