摘要
为了提升增程式电动汽车的燃油经济性和排放特性,针对增程式电动汽车续驶里程和尾气排放的污染问题,以国内某款现有电动汽车为研究对象,对增程式电动汽车动力系统的驱动电机、动力电池和增程器进行了参数匹配计算及选型,随后分别建立了恒功率控制策略模型、功率跟随控制策略模型和三工作点控制策略模型。运用MATLAB/Simulink软件和AVL CRUISE软件在NEDC工况下进行了联合仿真,在综合分析仿真试验结果的基础上,基于模糊逻辑算法对三工作点控制策略进行了优化并联合仿真。结果表明:驱动电机组件、动力电池组件和增程器组件均能够按照匹配的参数和设置的控制策略运行;采用恒功率控制策略的增程式电动汽车在增程阶段油耗最高、续驶里程最短、排放特性最差;采用功率跟随控制策略的排放特性最优,但油耗和续驶里程差于三工作点控制策略;采用三工作点控制策略的增程阶段油耗最低,单位里程污染物排放量略高于功率跟随控制策略;优化后的控制策略较优化前三工作点控制策略油耗降低0.28 L/100 km,增加续驶里程22.33 km;对NO_(x),CO和HC这3种排放物来说,优化后的三工作点控制策略单位里程排放较优化前以及恒功率控制策略和功率跟随控制策略均有降低;优化后的三工作点控制策略下的车辆燃油经济性和排放特性均得到提升。
In order to improve the fuel economy and emission characteristics of extended range electric vehicles,in view of the pollution problem of driving range and exhaust emissions of extended-range electric vehicles,taking an existing domestic electric vehicle as the research object,the parameter matching calculation and selection of the drive motor,power battery and range extender of extended range electric vehicle’s power system are carried out,and then the constant power control strategy model,power following control strategy model and three-operating-point control strategy model are established respectively.The co-simulation is conducted by using MATLAB/Simulink software and AVL CRUISE software under NEDC working condition.On the basis of comprehensive analysis of the simulation test result,the three-operating-point control strategy is optimized and co-simulated based on fuzzy logic algorithm.The result shows that(1)the drive motor assembly,power battery assembly and range extender assembly can operate according to matching parameters and set control strategy;(2)the extended range electric vehicle using constant power control strategy has the highest fuel consumption,the shortest driving range and the worst emission characteristics at the extended range stage;(3)the extended range electric vehicle using the power following control strategy has the best emission characteristics,but the fuel consumption and driving range are worse than the those using three-operating-point control strategy;(4)the extended range electric vehicle using the three-operating-point control strategy has the lowest fuel consumption at the extended range stage,and the pollutant emission per unit mileage is slightly higher than that using the power following control strategy;(5)the optimized control strategy reduced the fuel consumption by 0.28 L/100 km and increased the driving range by 22.33 km compared with the three-operating-point control strategy before optimization;(6)for NO_(x),CO and HC,the optimized three-operating-point control strategy has lower emissions per mileage than before optimization as well as the constant power control strategy and power following control strategy;(7)the fuel economy and emission characteristics of the vehicle using optimized-three-operating-point control strategy are improved.
作者
都雪静
王宁
崔淑华
DU Xue-jing;WANG Ning;CUI Shu-hua(Schol of Traffic and Transportation,Northeast Forestry University,Harbin Heilongjiang 150040,China)
出处
《公路交通科技》
CAS
CSCD
北大核心
2022年第12期213-223,共11页
Journal of Highway and Transportation Research and Development
基金
国家重点研发计划项目(2017YFC0803901)。
关键词
汽车工程
控制策略
联合仿真
增程式电动汽车
模糊逻辑算法
automobile engineering
control strategy
co-simulation
extended range electric vehicle
fuzzy logic algorithm
作者简介
都雪静(1975-),女,吉林通化人,博士,教授.(duxuejing99@163.com)。
