基于PSO的新型双电机多模式驱动系统转矩分配策略优化

doi:10.19562/j.chinasae.qcgc.2022.08.011

Abstract

Abstract:

Torque distribution optimization is carried out for an electric vehicle equipped with a novel dual-motor multi-mode drive system in this paper. According to the features of the dual-motor multi-mode drive system， a vehicle model is established， with the working range of different modes divided. On the premise of meeting the requirements of power performance， the system efficiency oriented strategies for torque distribution and mode switching based on particle swarm optimization algorithm are formulated， and the offline and online methods are combined to enhance the real-time response speed of the system. The simulation model is established in Matlab / Simulink with a simulation conducted and a hardware-in-the-loop test is carried out for verification. The results show that the average efficiency of the system is 3% higher than that with the traditional mode switching strategy， and the energy consumption is 11.28% lower than that with the torque distribution strategy based on genetic algorithm.

Key words: dual-motor system, particle swarm optimization algorithm, torque distribution, mode switching

Xinyou Lin,Qiang Huang,Guangji Zhang. Torque Distribution Strategy Optimization of a Novel Dual-Motor Multi-Mode Drive System Using PSO Algorithm[J].Automotive Engineering, 2022, 44(8): 1218-1225.

Figures/Tables 14

References 23

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工况	平均效率/%
HWFET采用本文模式切换	77.61
HWFET采用传统模式切换	75.32
US06采用本文模式切换	78.26
EUDC采用本文模式切换	77.74

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Torque Distribution Strategy Optimization of a Novel Dual-Motor Multi-Mode Drive System Using PSO Algorithm

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