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作 者:刘越茂 连晋毅[1] LIU Yue-mao;LIAN Jin-yi(Taiyuan University of Science and Technology,Taiyuan Shanxi 030024,China)
机构地区:[1]太原科技大学,山西太原030024
出 处:《计算机仿真》2025年第2期171-175,411,共6页Computer Simulation
基 金:分布式驱动电动车辆转矩协调分配与主动容错控制研究(202203021211196)。
摘 要:为提高增程式电动汽车的电池寿命及经济性,以40kw氢燃料微型燃气轮机增程器为仿真对象,对驱动电机、动力电池及整车参数进行匹配设定。随后分别建立恒温控制策略、功率跟随控制策略、多点控制策略,运用Matlab/Simulink建立整车模型,stateflow建立控制策略模型,在NEDC及WLTC工况下进行对比仿真。结果显示,三种控制策略在NEDC工况下SOC值曲线波动范围均符合设计要求,恒温控制策略氢燃料百公里消耗量最高,设计的多点控制策略消耗量最低。在WLTC工况下,多点控制策略SOC值不能维持在较小范围。因此,提出一种模糊多点控制策略,仿真结果表明,以上策略在NEDC和WLTC工况下,电池SOC值曲线变化均满足设计要求,有较好的控制效果和燃油经济性。In order to improve the battery life and economy of extended-range electric vehicles,a 40 kW hydrogen fuel micro gas turbine range extender is used as the simulation object,and the parameters of the drive motor,power battery,and the entire vehicle are matched and set.Subsequently,the constant temperature control strategy,power following control strategy and multi-point control strategy are established respectively,and the vehicle model is established by Matlab/Simulink,and the control strategy model is established by stateflow,and the comparative simulation is carried out under Nedc and Wtdc working conditions.The results show that the fluctuation range of the SOC curve of the three control strategies meets the design requirements under NEDC conditions,and the constant temperature control strategy has the highest consumption of hydrogen fuel per 100 kilometers,while the designed multi-point control strategy has the lowest consumption.Under WLTC conditions,the SOC value of the multi-point control strategy cannot be maintained in a small range.Therefore,a fuzzy multi-point control strategy is proposed.The simulation results show that the change of battery SOC curve meets the design requirements under NEDC and WLTC conditions,and it has a good control effect and fuel economy.
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