DocumentCode :
3353984
Title :
Investigation of determining of regenerative braking torque based on associated efficiency optimization of electric motor and power battery using GA
Author :
Liang Chu ; Feikun Zhou ; Jianhua Guo ; Mingli Shang
Author_Institution :
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
Volume :
6
fYear :
2011
fDate :
12-14 Aug. 2011
Firstpage :
3238
Lastpage :
3241
Abstract :
Regenerative braking is an important means for realizing energy saving and emission reduction of hybrid electric vehicles, the given value of motor´s regenerative braking torque influences the energy recovery effect. Based on the Besturn HEV (Hybrid Electric Vehicle), a mathematic model of associated efficiency electric motor and battery according to the performance test of the permanent magnet synchronous motor and nickel-hydrogen power battery was set up in this paper, and the value of regenerative torque was determined through the optimization of the mathematic model using GA (Genetic Algorithm). The simulation results show that the method of determination of regenerative torque put forward in this paper is feasible, the motor and battery can achieve efficient operation in the process of regenerative braking and the recovery of braking energy can be improved obviously.
Keywords :
battery powered vehicles; genetic algorithms; hybrid electric vehicles; permanent magnet motors; regenerative braking; synchronous motors; Besturn HEV; GA; associated efficiency optimization; electric motor; emission reduction; energy recovery effect; genetic algorithm; hybrid electric vehicles; mathematic model; nickel-hydrogen power battery; permanent magnet synchronous motor; regenerative braking torque; Batteries; Electric motors; Force; Genetic algorithms; Optimization; System-on-a-chip; Torque; Genetic Algorithm; associated efficiency optimization; electric motor; power battery; regenerative braking torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
Type :
conf
DOI :
10.1109/EMEIT.2011.6023052
Filename :
6023052
Link To Document :
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