Title :
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
fDate :
Aug. 31 2014-Sept. 3 2014
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;
Conference_Titel :
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4240-4
DOI :
10.1109/ITEC-AP.2014.6940647
