基于行驶工况的纯电动城市客车动力系统参数匹配优化

利用GPS设备对西安城市公交典型线路的行驶工况数据进行实时采集，用聚类分析法和多目标优化法构建出瞬态工况和模态工况。基于已构建工况，通过分析实际道路需求功率和样车参数，完成电机和电池选型，并合理匹配出电机、电池和传动系参数。以传动系参数为优化变量，整车经济性为优化目标建立数学模型，运用模拟退火粒子群优化算法对传动系速比进行优化计算。运用CRUISE软件建立整车仿真模型，设计动力性和经济性计算任务进行仿真分析。仿真结果表明优化前后车辆动力性均满足设计要求，优化后循环工况下续驶里程增加了1.71 km。

Study on Parameter Matching Optimization of City Bus Power System Based on Operating Conditions

The operating conditions of typical city lines in Xi'an were measured by GPS equipment. The transient condition and modal condition were constructed by using cluster analysis method and multi-objective optimization theory. Based on the developed conditions and the actual road demand power and prototype parameters, the motor and battery selection were completed. Then parameters of motor, battery, and drivetrain can be reasonably matched. Drivetrain parameters were used as optimization variables. A mathematical model was established for the economical efficiency of the entire vehicles . Simulated annealing particle swarm optimization algorithm was used to optimize the speed ratios of the drivetrains. CRUISE software was utilized to establish vehicle simulation model. Then simulation calculations are implemented through the design of dynamic and economical calculation tasks. The simulation results show that the vehicle dynamic performance meets the design requirements before and after optimization, and the cruising range increases by 1.71 km under the optimized cycle conditions.