秦大同 林毓培 刘星源 罗松

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%.

关键词：插电式混合动力汽车；参数优化；遗传算法；效率模型；综合工况；模式切换

中图分类号：U462.3+4文献标志码：A

Abstract：According to singlemotor plugin 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 Plugin 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 "CitySuburbanHighwaySuburbanCity" 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 per 100 km can be reduced by 7.2% when compared with that of nonoptimization cases.

Key words：PHEV； parameters optimization； genetic algorithm；efficiency model； comprehensive driving cycle；mode switch

插电式混合动力汽车可以通过公共电网对电池进行外接充电，大大降低了车辆对燃油的依赖性，具有续驶里程长、排放低的显著优点[1].目前，混合动力汽车参数优化主要包括动力系统参数优化、控制系统参数优化、动力系统参数与控制系统参数综合优化.王庆年提出一种以整车制造成本和年均使用成本为评价指标的动力系统参数匹配方法[2]，Tan G采用免疫遗传算法对传动系统参数进行多目标优化[3]，但未考虑控制系统参数对汽车能耗经济性的影响；……