Intelligent power management in a vehicular system with multiple power sources
作者： Yi L. Murphey , ZhiHang Chen , Leonidas Kiliaris , M. Abul Masrur
DOI: 10.1016/J.JPOWSOUR.2010.07.052
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摘要: Abstract This paper presents an optimal online power management strategy applied to a vehicular system that contains multiple sources and deals with largely fluctuated load requests. The is developed using machine learning fuzzy logic. A algorithm has been learn the knowledge about minimizing loss in Multiple Power Sources Loads (M_PS&LD) system. exploits fact different used deliver request have losses under vehicle states. train intelligent controller, FPC_MPS, capability of finding combinations minimize while satisfying given set component constraints during drive cycle. FPC_MPS was implemented two simulated systems, four sources, three sources. Experimental results show proposed approach combined control promising technology for M_PS&LD
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