Research on trip based optimal power management for plug-in hybrid electric vehicles - Details

Author：

Xu, Pingping (Xu, Pingping.) | Zou, Wei (Zou, Wei.) | Song, Jianguo (Song, Jianguo.) | Shen, Guangdi (Shen, Guangdi.)

Indexed by：

EI Scopus PKU CSCD

Abstract：

The　paper　proposes　a　novel　dynamic　programming-based　whole-trip　power　management　strategy　for　plug-in　hybrid　electric　vehicles　(PHEVs)　after　the　construction　of　a　PHEV　model　on　the　electric　vehicle　simulation　platform　based　on　selecting　rational　dynamics　parameters,　with　the　purpose　of　economizing　fuel.　Different　from　the　present　charge-depleting-charge　sustaining　power　management　strategy　for　PHEVs,　the　new　trip　based　optimal　power　management　strategy　gives　the　limitation　that　the　state　of　charge　(SOC)　reaches　the　maxim　level　at　the　starting　point　trip　and　reaches　the　healthy　lowest　level　at　the　destination　of　the　trip,　and　uses　the　dynamic　programming　algorithm　to　economize　fuel.　The　simulation　results　demonstrates　the　new　strategy　can　greatly　economize　fuel　compared　with　the　present　method.

Keyword：

Battery management systems Plug-in hybrid vehicles Simulation platform Electric power measurement Fuels Dynamic programming

Author Community：

[ 1 ] [Xu, Pingping]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
[ 2 ] [Zou, Wei]Hi-tech Innovation Centre, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China
[ 3 ] [Song, Jianguo]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
[ 4 ] [Shen, Guangdi]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China