DocumentCode :
2104928
Title :
Study on Global Optimization of Plug-In Hybrid Electric Vehicle Energy Management Strategies
Author :
Yang, Chenghong ; Li, Jun ; Sun, Wei ; Zhang, Bo ; Gao, Ying ; Yin, Xuefeng
Author_Institution :
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
fYear :
2010
fDate :
28-31 March 2010
Firstpage :
1
Lastpage :
5
Abstract :
By using dynamic programming (DP) which is kind of global optimization algorithm, an energy management control strategy for a parallel plug-in hybrid electric vehicle (PHEV) on different charging depleting range (CDR) has been studied. The results show that Motor-Dominant control strategy should be applied to the PHEV when CDR is less than 55 km, and Engine-Dominant control strategy should be used when CDR is more than 55 km. With optimal control strategies from DP, the best economic performance can be obtained as CDR is 55 km; PHEV average equivalence fuel consumption could be reduced to 2.7 L/100 km which is 58% lower than that of prototype vehicle.
Keywords :
dynamic programming; energy management systems; hybrid electric vehicles; optimal control; charging depleting range; dynamic programming; energy management control strategy; global optimization algorithm; motor-dominant control strategy; optimal control strategies; parallel plug-in hybrid electric vehicle; Battery powered vehicles; Design optimization; Dynamic programming; Energy management; Hybrid electric vehicles; Mechanical power transmission; Optimal control; Power grids; Synchronous motors; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
Type :
conf
DOI :
10.1109/APPEEC.2010.5448895
Filename :
5448895
Link To Document :
بازگشت