Existing research on parallel hybrid electric vehicles (HEV) mainly focuses on optimizing the component sizes and control strategies of the single-motor parallel hybrid electric powertrain (SMPHP), and less analyzes the influence of powertrain configuration on the performance of the vehicle. Therefore, the influence of the power coupling type and transmission type of the powertrain configuration on the fuel economy and drivability performance of parallel HEVs is studied in this paper. Considering three types of powertrain topologies (P2 torque-coupled, P2 dual-mode coupled and P3 torque-coupled) and two types of automatic transmissions (DCT and CVT), six typical types of SMPHP configurations to be discussed are determined. To obtain their optimal fuel economy and drivability performance, a multi-objective optimization and analysis method based on dynamic programming and multi-objective particle swarm optimization algorithm is proposed to optimize the component sizes and control variables of powertrain configurations. Finally, the optimal performance and component size optimization results of six typical SMPHP configurations are analyzed and compared, and the influence of powertrain configuration on the performance and components sizing of the SMPHP is obtained, which contributes to the configuration design of the parallel hybrid electric powertrain.

现有并联式混合动力汽车（HEV）的研究主要集中在优化单电机并联式混合动力系统（SMPHP）的部件尺寸和控制策略，较少分析动力系统配置对整车性能的影响。因此，本文研究了动力总成配置的动力耦合方式和传动方式对并联HEV的燃油经济性和驾驶性能的影响。考虑三种类型的动力总成拓扑（P2 扭矩耦合、P2 双模耦合和 P3 扭矩耦合）和两种类型的自动变速器（DCT 和 CVT），确定了六种典型的 SMPHP 配置类型。为了获得最佳的燃油经济性和驾驶性能，提出了一种基于动态规划和多目标粒子群优化算法的多目标优化分析方法来优化动力总成配置的部件尺寸和控制变量。最后，对6种典型SMPHP配置的最优性能和部件尺寸优化结果进行分析比较，得出动力总成配置对SMPHP性能和部件尺寸的影响，为并联混合动力总成的配置设计提供参考。 .