DocumentCode :
136678
Title :
Parameter design and optimization of electric vehicle
Author :
Qidong Yin ; Zhongbin Wu ; Xiaoming Rui
Author_Institution :
North China Electr. Power Univ., Baoding, China
fYear :
2014
fDate :
Aug. 31 2014-Sept. 3 2014
Firstpage :
1
Lastpage :
7
Abstract :
Improving the efficiency of powertrain system is a critical issue for electric vehicle´s technologies. Suitable parameters of this system are beneficial to enhancing the fuel economy and extending the mileage since battery on electric vehicle has a limit of capacity. In this paper, we establish models of vehicle system and components in MATLAB/Simulink to study parameter design for electric vehicle. We apply genetic algorithm in optimizing parameters of the prototype. Control strategy is also discussed to obtain the optimal performance of electric vehicle. We use simulations to test our proposed design. The electric vehicle can meet the requirement of power and fuel economy characteristic. Improvement is obtained through optimizing the parameters of transmission. These results show an agreement between the theory and our design.
Keywords :
electric vehicles; fuel economy; genetic algorithms; power transmission (mechanical); MATLAB; Simulink; electric vehicle; fuel economy; genetic algorithm; parameter design; parameter optimization; powertrain system; Atmospheric modeling; Batteries; Biological system modeling; Electric vehicles; Integrated circuit modeling; Torque; electric vehicle; optimum algorithm; parameter design; powertrain system;
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.2014.6940949
Filename :
6940949
Link To Document :
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