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《Journal of South China University of Technology(Natural Science Edition)》 2006-04
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Global Optimization Control of Parallel Hybrid Electric Vehicle

Hu Hong-fei Huang Xiang-dong Luo Yu-tao Zhao Ke-gang (Guangdong Provincial Key Laboratory of EV Research,South China Univ.of Tech., Guangzhou 510640,Guangdong,China)  
With a charge-sustaining PHEV(Parallel Hybrid Electric Vehicle) as the research subject,a system target function with minimum global fuel consumption in the whole driving cycle is set up based on the mathematical models related to the vehicle and its powertrain.The corresponding mechanical and battery constraint functions are also established.Then,the constrained minimum problem is transformed into an unconstrained minimum one,which is solved by using the Lagrange multiplier method,with a global optimization control strategy being obtained.Moreover,a vehicle simulation model is built up based on Matlab/Simulink to verify the proposed strategy in several typical driving cycles.The simulated results are finally compared with those obtained by the instantaneous optimization control strategy.It is then concluded that the proposed strategy is valid and can help save fuel.
【Fund】: 国家自然科学基金资助项目(50275053);; 广东省科技攻关项目(2004A11304001)
【CateGory Index】: U469.72
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