DocumentCode :
2561014
Title :
An improved energy optimization control strategy for electric vehicle drive system
Author :
Li, Ke ; Zhang, Chenghui ; Cui, Naxin
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Jinan
fYear :
2008
fDate :
2-4 July 2008
Firstpage :
2244
Lastpage :
2249
Abstract :
Electric vehicles must extremely improve its electric drive system efficiency and effectively using its limited energy. In this paper, an improved energy optimization control strategy for electric vehicle drive system is proposed based on the typical drive cycle operation characteristics analysis. An efficiency optimization strategy based on loss model is used to reduce the operation losses of electric drive system at light load, and a fast torque response control algorithm is given to reduce the influence of electric vehicle dynamic response speed caused by efficiency optimization operation. An efficient braking force distribution strategy is proposed then, which assigns the braking force to the regenerative braking as much as possible under the condition that the vehicle possesses good stability during braking process. The comparative simulation results in advanced vehicle simulator (ADVISOR) software show that there is obvious improvement in the energy usage and the electric vehicles travel distance is lengthened, which confirms the validity of the improved energy optimization control strategy proposed in this paper.
Keywords :
brakes; drives; electric vehicles; optimal control; optimisation; power control; stability; torque control; advanced vehicle simulator software; braking force distribution strategy; drive cycle operation characteristics analysis; electric vehicle drive system; electric vehicle dynamic response speed; energy optimization control strategy; fast torque response control algorithm; Automotive engineering; Control systems; Electric vehicles; HEMTs; Intrusion detection; Lighting control; MODFETs; Power engineering and energy; Torque control; Vehicle dynamics; Electric Vehicle(EV); Energy Optimization; Induction Motor; Regenerative Brake;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
Type :
conf
DOI :
10.1109/CCDC.2008.4597722
Filename :
4597722
Link To Document :
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