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作 者:王奎俊 张兰春[1] 魏英俊 WANG Kuijun;ZHANG Lanchun;WEI Yingjun(School of Automotive and Transportation Engineering,Jiangsu University of Technology,Changzhou 213001,China;School of Vehicle Engineering,Chongqing University of Technology,Chongqing 400054,China;Chongqing Seres Phoenix Intelligent Innovation Technology Co.,Ltd,Chongqing 400039,China)
机构地区:[1]江苏理工学院汽车与交通工程学院,江苏常州213001 [2]重庆理工大学车辆工程学院,重庆400054 [3]重庆赛力斯凤凰智创科技有限公司,重庆400039
出 处:《江苏理工学院学报》2024年第4期36-43,62,共9页Journal of Jiangsu University of Technology
基 金:江苏省高等学校基础科学(自然科学)研究项目“混合动力双带式全电调节CVT传动效率优化及匹配控制策略研究”(22KJA580002)。
摘 要:为了改善混合动力汽车的燃油经济性,设计了基于DynaProg方法的动态规划(Dynamic Programming,DP)算法,优化能量分配策略。以并联混合动力汽车为研究对象,基于Matlab建立整车模型;以燃油消耗最小为目标,建立DynaProg最优控制的数学模型,求出已知工况下混合动力汽车全局最优的动力源工作状态;与传统混合动力汽车动态规划控制策略和基于规则的混合动力汽车控制策略在运算速度、油耗与排放上分别进行仿真分析比较。结果表明:采用基于DynaProg方法的动态规划控制策略,相较于采用传统动态规划控制策略,运算速度提升了22.46%;相较于采用规则的混合动力汽车控制策略,汽车燃油经济性提高了17.08%,一氧化碳(CO)和氮氧化物(NOx)尾气排放量分别降低了2.88%和16.29%。In order to improve the fuel economy of hybrid electric vehicles,dynamic programming(DP)algorithm based on DynaProg method is designed to optimize the energy allocation strategy.Taking parallel hybrid electric vehicle as the research object,the whole vehicle model is established based on Matlab.Aiming at minimum fuel consumption,a mathematical model of DynaProg optimal control is established to obtain the global optimal power source working state of hybrid electric vehicle under known working conditions.The calculation speed,fuel consumption and emission of hybrid electric vehicle are simulated and compared with traditional hybrid electric vehicle dynamic programming control strategy and rule-based hybrid electric vehicle control strategy respectively.The results show that compared with the traditional dynamic programming control strategy,the algorithm speed of DP control strategy based on DynaProg method is improved by 22.46%.Compared with the regular hybrid vehicle control strategy,fuel economy is improved by 17.08%,and CO and NOx exhaust emissions are reduced by 2.88%and 16.29%,respectively.
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