Parameter Optimization of Control Strategy for Parallel Hybrid Electric Vehicle

This paper presents a kind of real-time control strategy for PHEV (parallel hybrid electric vehicle). In this strategy, the relative values of the engine fuel consumption, equivalent fuel consumption of electric power and the emissions are all considered as the evaluation items. In order to make a comprehensive consideration of all the evaluation items, the weight parameters are introduced into the evaluation function. The complex method is used to optimize the weight parameters. Based on this method, the optimization is implemented automatically by a program which has the ECE+EUDC drive circle run on the entire vehicle simulation model to obtain the necessary performances of the vehicle. According to the result of the optimization, the real-time control strategy after optimized can make the equivalent fuel consumption of the vehicle decreased while the emission limit is satisfied.