基于遗传算法的纯电动卡车动力系统参数匹配及优化设计  

Parametric Matching and Optimal Design of Electric Truck Dynamic System Based on Genetic Algorithm

作　　者：滑文山[1] 邱今胜[2] 孙辉安[1] 陈静[1] 

机构地区：[1]山东理工大学交通与车辆工程学院,山东省淄博市255049 [2]深圳信息职业技术学院,广东省深圳市518172

出　　处：《农业装备与车辆工程》2014年第2期32-36,共5页Agricultural Equipment & Vehicle Engineering

摘　　要：以某纯电动卡车为研究对象,在对其要求的动力参数进行分析研究的基础上,对电动汽车动力系统主要部件参数进行了较为合理、简洁的选择与匹配。利用设计出来的动力参数在仿真软件CRUISE上建立纯电动汽车的动力电池、驱动电机、传动系以及车身的整车动力性模型,并用CRUISE对其进行了仿真实验。针对动力性能要求和续驶里程要求,利用遗传算法优化传动系传动比,并对得到的优化结果予以仿真,仿真结果验证了优化方法和优化结果的正确性。A pure electric truck plays the part of object of the study. On the basis of analyzing and studying the required dynamic parameters, the component parameters of the electric vehicle power system are reasonably and briefly chosen. Using the dynamic parameters that have been designed before, the vehicle dynamic model of power battery, drive motor, drive train and the body is set up based on the simulation software CRUISE and simulation test is conducted with CRUISE. Aiming at the requirements for dynamic performance and the driving range, genetic algorithm is employed to optimize the power train transmission ratio, and then the simulation is conducted. The simulation results verify the correctness of optimization results and the optimization method.

关 键 词：纯电动卡车 动力系统 参数匹配 优化设计 

分 类 号：U469.72[机械工程—车辆工程]