两挡纯电动汽车两种换挡规律下的传动比优化

Transmission Ratio Optimization of Two-Speed Pure Electric Vehicle under Two Kinds of Shift Schedule

为提高两挡纯电动汽车的能耗经济性和续驶里程,采用粒子群算法,以整车NEDC循环工况能量消耗最小为目标,以动力性要求为约束条件,分别在动力性换挡规律下和经济性换挡规律下对原车传动系统传动比进行了优化设计,并对两种换挡规律下的传动比优化前与优化后的续驶里程及动力性进行了仿真分析。仿真结果表明了经济性换挡规律比动力性换挡规律有更好的能量利用率,但整车动力性能会稍差于动力性换挡规律,同时仿真结果也验证了以工况能耗最小为目标的传动比优化算法的有效性。

In order to improve the energy efficiency and the driving range of two-speed pure electric vehicle （EV）, the transmission ratio of an EV were respectively optimized using particle swarm optimization （PSO） under the economy shift schedule and the dynamic shift schedule. Within the constraint of the power performance, the opti- mization objective of the algorithm was the least energy consumption of the vehicle over the NEDC （ New European Driving Cycle） drive cycle. Under the two kinds of shift schedule, the driving range and power performance before and after transmission ratio optimization were analyzed. The simulation results show that the vehicle energy efficiency of the economy shift schedule is better than the dynamic shift schedule, but the vehicle power performance is some- what inferior to the dynamic shift schedule, and it also verify that the proposed optimization algorithm is effective.