摘要
为了降低电动汽车的百公里能耗,针对电动汽车传动比提出了一种基于线性递减惯性权重粒子群算法(LDWPSO)的优化方法,并对电机系统、动力电池进行了匹配和选型。为提高目标函数精度和实现换挡策略与传动比的实时匹配,该优化方法以传动比为设计变量,以整车仿真模型输出的能耗作为目标函数,并与基于电机效率的换挡策略相结合,采用LDWPSO算法实现传动比的最优化。优化结果表明,电动汽车百公里能耗下降了3.7%,其他性能均满足设计指标。
An optimization method based on Linear Decrease Weight Particle Swarm Optimization （LDWPSO） is proposed for the transmission ratio to reduce the energy consumption of the electric vehicle and the drive motor and power battery are also matched. In order to improve the accuracy of objective function and achieve the real - time matching between transmission ratio and shift strategy, the transmission ratio is taken as the design variable, the energy consumption of the vehicle simulation model is taken as the objective function, the shift strategy based on the motor efficiency is embedded into the optimization model and the LDWPSO algorithm is uesd to achieve the optimal transmission ratio. The result show that the energy consumption per hundred kilometers of electric vehicles is decreased by 3.7% and the other performance is satisfied with the design index.
出处
《电子科技》
2017年第9期135-138,141,共5页
Electronic Science and Technology
