Analysis of optimal power management strategy for series plug-in hybrid electric vehicles via Dynamic Programming

Author

Wei Zhou ; Chengning Zhang ; Junqiu Li

Author_Institution

Nat. Eng. Lab. for Electr. Vehicles, Beijing Inst. of Technol., Beijing, China

fYear

2014

fDate

Aug. 31 2014-Sept. 3 2014

Firstpage

1

Lastpage

5

Abstract

This paper examines two optimal power management strategies (i.e. BL strategy and CD/CS strategy) for a series plug-in school bus. The fuel performance of these two strategies is compared. Dynamic Programming approach which is able to achieve global optimal solution is applied in this study to guarantee a fair comparison. Simulation results are presented, showing that difference between the optimal fuel economy obtained by these two power management strategies is very marginal for a plug-in series powertrain.

Keywords

dynamic programming; energy management systems; fuel economy; hybrid electric vehicles; BL strategy; CD/CS strategy; blending strategy; charge-depleting charge-sustaining strategy; dynamic programming; optimal fuel economy; optimal power management strategy; series plug-in hybrid electric vehicles; series plug-in school bus; Batteries; Dynamic programming; Engines; Fuels; Mechanical power transmission; System-on-chip; Vehicles; Dynamic Programming; Fuel Economy Comparison; Optimal Power Management; Series Plug-in Hybrid Electric Vehicle;

fLanguage

English

Publisher

ieee

Conference_Titel

Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo

Conference_Location

Beijing

Print_ISBN

978-1-4799-4240-4

Type

conf

DOI

10.1109/ITEC-AP.2014.6940647

Filename

6940647