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| Matching and simulation of power system of hybrid electric logistics vehicle |
（1. Liuzhou Wuling Automobile Industry Co., Ltd.， Liuzhou, Guangxi 545000, China; 2. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan， Hubei 430070， China; 3. Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan， Hubei 430070， China)
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Abstract To improve vehicle emission performance and reduce fuel consumption, a hybrid vehicle with gasoline engine was designed on the premise of ensuring the power with a traditional rearaxledriven diesel vehicle as prototype. A new power system was designed by theoretical matching calculation, and a reasonable power distribution control strategy was formulated. The whole vehicle model was built by AVL Cruise, and the acceleration and climbing simulation experiments were carried out. Based on CWTVC, the cycle simulation analysis was carried out to obtain the dynamic performance results and economic results. According to the multiobjective particle swarm optimization (MPSO) algorithm, the vehicle structure parameters and control parameters were optimized on the premise of battery state of charge （SOC）balance. The results show that the theoretical matching calculation results are reasonable. Before optimization, the climbing performance, the acceleration performance and the maximum speed can meet the dynamic performance index. The fuel consumption of the designed hybrid vehicle is 28.00% lower than that of the original vehicle. After optimization, the comprehensive energy consumption of the whole vehicle is 15.00% lower than that before optimization.
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Received: 26 August 2019
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