The dynamic and economic performance study of a new Simpson planetary gearset based dual motor powertrain for electric vehicles

Abstract The dual motor powertrain is superior to the single motor powertrain in terms of economic performance for electric vehicles. To further improve the dynamic and economic performance of dual motor powertrain, a new Simpson planetary gearset based dual motor powertrain (SPGDMP) is proposed. The SPGDMP can realize six driving modes, including four single motor driving modes and two dual-motor driving modes. A simplified dynamic model which considers the gear meshing efficiency is built to implement the parameters design and formulate the energy management strategy (EMS). The genetic algorithm is used to optimize the parameters of SPGDMP to minimize the total power of the drive motor and meet the predetermined dynamic performance requirements at the same time. The EMS is formulated by minimizing the instantaneous consumed power of two motors. To demonstrate the performance of SPGDMP, the parallel axle based dual motor powertrain (PADMP) that meets the same dynamic performance requirement is used as the reference. The simulation results show that the proposed SPGDMP requires lower total power of driving motors to achieve the same dynamic performance and has much better economic performance.