Optimization Method of Calibration Parameters for Hybrid Electric Vehicle

In order to solve the problems of cumbersome calibration process and the inability of calibration parameters to meet the requirements of different driving cycles, an optimization method of calibration parameters is proposed. A hybrid electric bus is taken as the research object, and the power threshold is regarded as the calibration parameter to be optimized. In order to study the relationship between calibration parameter and driving cycles, one hundred new driving cycles are constructed based on the common driving cycles of bus. Twenty four characteristic parameters are screened to represent these driving cycles. In order to improve the fuel economy of hybrid electric vehicle, the minimum energy loss of the system is taken as the optimization target to solve the optimal power threshold. Then, the linear relationship between the optimal power threshold and these characteristic parameters is found through regression analysis. The optimal power thresholds under different driving cycles can be obtained by the regression equation. The research in this paper improves the adaptability of calibration parameters to different driving cycles, and shortens the development cycle of the vehicle controller. The solution method of the optimal calibration parameter is also of great significance to the fuel-saving control of hybrid electric vehicle.