Energy efficiency optimization of Simpson planetary gearset based dual-motor powertrains for electric vehicles

作者：Hong, Xianqian; Wu, Jinglai^*; Zhang, Nong; Wang, Bing

来源：Energy, 2022, 259: 124908.

DOI：10.1016/j.energy.2022.124908

• Dual -motor powertrain
• Simpson planetary gearset
• Energy efficiency optimization
• Multi -objective optimization
• Electric vehicles

The improvement of powertrain energy efficiency is of great significance to improve the driving range of electric vehicles. This paper proposes four configurations of Simpson planetary gearset-based dual-motor powertrain (SPGDMP) and optimizes their parameters. The powertrain energy efficiency is obtained through the scalable motor model and the gear ratio-dependent transmission efficiency model. The influence of powertrain param-eters is then analyzed to determine the design variables. An improved economic performance indicator with less computational cost is proposed, which can reduce the computational time by 98.82% compared with the con-ventional economic indicator calculated by the dynamic programming (DP) algorithm. Considering the trade-off between dynamic and economic performance, the multi-objective optimization model is proposed, which gains the discrete Pareto front by the NSGA-II and makes the discrete Pareto front continuous by neural network fitting (NNF). The optimization results show that compared with a widely studied torque coupled dual-motor power -train (TCDMP), SPGDMPs can reduce the energy consumption and motors power by at least 5.02% and 14.56%, respectively. The energy efficiency of SPGDMPs has a little improvement when the powertrain equips with more brakes.

• 单位
  华中科技大学