Torque distribution strategy for pure electric commercial vehicles based on particle swarm optimization
To solve the torque distribution problem of pure electric commercial vehicles driven by dual motors,the fuzzy control strategy based on particle swarm optimization(PSO)was proposed.The physical model of the vehicle power system was established in Simulink/Stateflow software,and the vehicle torque was distributed based on PSO algorithm.Due to the large amount of calculation and being not suitable for the real vehicles,according to the calculation results of PSO algorithm and the traditional project experience,the fuzzy controller with real-time parameter adjustment was designed to carry out torque distribution with high running speed and basically global optimization effect of PSO.The verification and analysis results show that compared with the original single motor power system,the energy consumption of the dual motor power system is reduced by 12.08％.Compared with the average distribution control strategy,the total motor loss is reduced by 13.09％in dual motor power system.
pure electric commercial vehicledual motor drivetorque distributionparticle swarm algorithmfuzzy control strategy
万方数据
维普
