摘要 以一款传统后轴驱动柴油物流车为原型，在保证动力性的前提下，为了改善整车排放性能，降低燃油消耗，设计了一款搭配汽油机的混合动力物流车.通过理论匹配计算设计了新的动力系统，同时制定了合理的动力分配控制策略.利用AVL Cruise软件搭建了整车模型，进行了加速与爬坡仿真试验，并基于CWTVC工况进行了循环工况仿真分析，得到了整车动力性仿真结果及经济性仿真结果.最后基于多目标粒子群算法，在保证电池SOC（state of charge）平衡前提下，对整车结构参数及控制参数等进行了优化.结果表明：理论匹配计算结果较合理，设计的混动车优化前，爬坡性能、加速性能以及最高车速均满足动力性能指标，整车燃油消耗较原车降低了28.00%；优化后，整车综合能耗较优化前降低了15.00%.
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.
赵尚义1， 郑青星2,3， 刘豪森2,3. 混合动力物流车动力系统匹配及仿真[J]. 江苏大学学报（自然科学版）, 2020, 41(6): 648-654.
ZHAO Shangyi1, ZHENG Qingxing2,3, LIU Haosen2,3. Matching and simulation of power system of hybrid electric logistics vehicle[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2020, 41(6): 648-654.
