Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information preview and neural networks for plug-in hybrid electric vehicles fuel economy

Ahmad MOZAFFARI; Mahyar VAJEDI; Nasser L.AZAD

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Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information preview and neural networks for plug-in hybrid electric vehicles fuel economy

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《中国高等学校学术文摘·机械工程》|2015年第2期|154-167|共14页
作者
Ahmad MOZAFFARI; Mahyar VAJEDI; Nasser L.AZAD;
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Systems Design Engineering Department, University of Waterloo, Waterloo, Canada;

Systems Design Engineering Department, University of Waterloo, Waterloo, Canada;

Systems Design Engineering Department, University of Waterloo, Waterloo, Canada;

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Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information preview and neural networks for plug-in hybrid electric vehicles fuel economy

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