Research on driving force optimal distribution and fuzzy decision control system for a dual-motor electric vehicle

This paper focuses on realizing the full potential in efficiency of dual-motor electric vehicles by exploring control strategies of driving force split and driving-mode. First, the minimizing power loss is set as the target of optimization and the method of driving force split between the front and rear axles is established. Then an adaptive decision control system is designed by fuzzy logic to realize the switching of driving modes. In addition, the evaluation layer is added to the decision system in order to evaluate the quality of decision and realize feedback control. The motor performance and efficiency were measured by dynamometer and power analyzer. A simulation platform based on AMESim/Matlab have been built to provide theoretical support. The benchmark testing and computer simulation proved that the optimization of driving force split can contribute a 5∼6% energy saving, as well as the decision control system can reduce almost all the undesirable driving-mode switching.