Intelligent Vehicle Power Management through Neural Learning

被引:0
|
作者
Park, Jungme [1 ]
Chen, ZhiHang [1 ]
Murphey, Yi L. [1 ]
机构
[1] Univ Michigan, Dept Elect & Comp Engn, Dearborn, MI 48128 USA
关键词
PARALLEL HYBRID VEHICLE; AGENT;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Power management for the Hybrid Electric Vehicle (HEV) is a challenging problem because of the dual-power-source nature of HEV design and implementation. In this paper, we present an Intelligent Power Controller, UMD_IPC, trained with a machine learning approach to provide optimal power flow for in-vehicle operations. The UMD_IPC is implemented in a HEV model provided by PSAT simulation environment, and its performances on three drive cycles are close to the optimal results generated by Dynamic Programming.
引用
收藏
页数:7
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