基于智能优化的混合动力汽车AMT换挡规律设计  

Design of AMT Shifting Schedule of Hybrid Electric Vehicle Based on Intelligent Optimization

作　　者：詹长书[1] 王清 朱冬 隋洪涛 ZHAN Changshu;WANG Qing;ZHU Dong;SUI Hongtao(School of Traffic and Transportation,Northeast Forestry University,Harbin 150040,China;Micro System Integration Center,Tohoku University,Sendai 9808579,Japan)

机构地区：[1]东北林业大学交通学院,哈尔滨150040 [2]日本东北大学微系统融合中心,仙台9808579

出　　处：《森林工程》2020年第6期110-116,共7页Forest Engineering

基　　金：国家自然科学基金资助项目(51405075)。

摘　　要：为提高中度混合动力汽车整车性能,对实际运用性较强的传统两参数换挡规律进行优化。本文通过Cruise和I sight联合仿真进行换挡曲线优化,优化算法选择混合优化算法Pointer。在设置经济性换挡规律时,将污染物的排放量加入优化目标来更好地实现节能减排目标。通过NEDC循环工况整车仿真,证明优化的换挡规律能更好地发挥混合动力汽车的性能,同时提高整车经济性。The optimization of the traditional two-parameter shift schedule with great practical application,improving the performance of the medium hybrid electric vehicle,was achieved by Cruise and I sight combined simulation.The hybrid optimization algorithm Pointer was applied as the optimization algorithm.With the setting of the economic shift schedule,the optimization target by adding the emission of pollutants levels up the realization of the energy conservation and emission reduction target.The NEDC cycle vehicle simulation demonstrates the better performance of hybrid electric vehicle and improving vehicle economy with the optimized shift schedule.

关 键 词：混合动力 换挡规律 联合仿真 Pointer算法 

分 类 号：U463.212[机械工程—车辆工程]