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作 者:秦大同[1] 林毓培[1,2] 刘星源 罗松 QIN Datong;LIN Yupei;LIU Xingyuan;LUO Song(State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing 400044,China;School of Electronic and Information Engineering,Southwest University,Chongqing 400700,China)
机构地区:[1]重庆大学机械传动国家重点实验室,重庆400044 [2]西南大学电子信息工程学院,重庆400700
出 处:《湖南大学学报(自然科学版)》2018年第2期62-68,共7页Journal of Hunan University:Natural Sciences
基 金:国家科技支持项目(2013BAG12B01)~~
摘 要:针对搭载无级变速器的单电机插电式混合动力汽车,提出了一种新的动力参数与控制参数设计方法.建立插电式混合动力汽车各工作模式的系统效率模型,得到基于系统效率的工作模式切换规律,并对模式切换曲线乘以控制参数以实现模式切换规律的调整.充分考虑燃油经济性的影响因素,以动力源功率、电池数目以及主减速器速比作为动力系统设计参数.利用Matlab/Simulink建立整车经济性仿真模型,构建"城市-城郊-高速-城郊-城市"综合行驶工况,以降低等效燃油消耗为目标,采用遗传算法对插电式混合动力汽车动力系统参数与模式切换规律控制参数进行综合优化.结果表明:采用本文所提出的方法能够优化出一组合理的动力与控制系统参数,使整车等效燃油消耗更低,比优化前的百公里等效油耗降低了7.2%.According to single-motor plug-in hybrid electric vehicle with Continuous Variable Transmission(CVT),a novel design method of power and control parameters was proposed.The system efficiency model for each mode of Plug-in Hybrid Electric Vehicl(PHEV)was built,the mode switching rules based on system efficiency was then obtained,and the adjustment of the mode switching rules through multiplying the mode switching curve with control parameters was realized.Fully considering the influencing factors of fuel economy,the power source,battery number and final drive ratio were regarded as the power parameters.By using Matlab/Simulink,the vehicle economy simulation model was built,and"City-Suburban-Highway-Suburban-City"comprehensive driving conditions were constructed taking the reduction of the equivalent fuel consumption as the optimization target.The PHEV dynamic parameters and controlling parameters of mode switching rules were optimized under the comprehensive driving cycle by using Genetic Algorithm(GA).The result demonstrates that,by using the method proposed in this paper,a set of reasonable power and control system parameters can be optimized to lower the vehicle equivalent fuel consumption,where the equivalent fuel consumption per100km can be reduced by7.2%when compared with that of non-optimization cases.
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