A control strategy for a dual-motor driving electric vehicle based on Pontryagin’s Minimum Principle

Abstract

For some dual-motor driving electric vehicles (EV) a method to realize the control of electric vehicles were proposed. Firstly, the control strategy was researched on the basis of typical urban conditions. The original data were analysed to classify the circulation condition by the stations, after which, the eigenvalues of each circulation condition and the comprehensive eigenvalues of each station were calculated and compared through the metrics algorithm. The typical driving condition of each station was chosen to build the typical driving condition of the global test path, carry out the study on globally optimal control strategy, and sum up the best shift schedule of the two-motor dynamic coupler. The schedule was applied in the algorithm of pontryagin’s Minimum Principle (PMP). The principle of minimization of the PMP was used to realize the best real-time control of electric vehicles. The simulation results demonstrate that the proposed optimize strategy could lead to the optimal control of the driven efficiency of electric vehicles and reduced power consumption by 4.16%. The results of this study could provide a certain theoretical basis for engineering application.