Control Strategy Analysis Of A Typical Hybrid Electric Powertrain

Control Strategy of the multi-energy management system is a core technology for Hybrid Electric Vehicle development. This article presents the performance test and analysis on control strategy of a typical hybrid electric powertrain, which is supposed to offer some practical significance for the national hybrid electric vehicle improvement.This paper investigates the mechanical structure, electrical structure and communication network topology. Based on the investigation, an analysis method by acquiring CAN bus message during both vehicle road test and hybrid electric system bench test has been brought forword. Through the test, the CAN bus messages have been recorded. Based on the test analysis of CAN bus messages, the CAN bus communication protocol has been studied and deciphered. The control and status related parameters have been extracted for control strategy study. By means of regression and other methods, the multi-energy related parameters are collected and analyzed. The control idea, system operation mode decision and vehicle required torque calculation method for the hybrid electric system has been summarized from system performance. Furthermore, detailed control rules for seven modes under stable conditions such as 'engine work with motor assistance', and eight modes under transient conditions such as 'engine only to engine work with motor assistance' have been studied separately. According to the obtained control rules, a simulation model for multi-energy management system has been built in the MATLAB/Simulink environment based on Stateflow module. In the last section of the paper, validation work has been performed. By importing the road test data into self-built system model, and comparing the model output control message with the real-time control data, the validity of the strategy analysis has been proved in certain way.The study work in this paper builds a good foundation for the system control module localization work and for further cooperation between Foton Bus Company and Tsinghua University.