Fuzzy- Genetic Control Strategy of Hybrid Electric Vehicle
Hybrid Electric Vehicles (HEV) is becoming the important develop tendency of the vehicle for its better fuel economy and emission. And design and implementation of Energy Control Strategy become one of the most important problems of the HEV. A fuzzy control hybrid electric vehicle model is created using CRUISE and MATLAB in this paper. For improving the fuel consumption and reducing emissions, the parameters of fuzzy control is optimized by the genetic algorithm. The results demonstrated that the fuzzy control strategy could improve the fuel consumption and reduce emissions efficiency. And by using genetic algorithm to improve the parameters of fuzzy controller, show the greatest advantage of the fuzzy control strategy in controlling the hybrid electric vehicle, and further improve the fuel consumption and reduce emissions.
hybrid electric vehicle fuzzy control genetic algorithm
Tian Yi Zhang Xin Zhang Liang
School of Mechanical Electric and Control Engineering Beijing Jiaotong University Beijing,China
国际会议
长沙
英文
1672-1675
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）