摘要
针对纯电动汽车驱动模式单一及模式切换操作复杂,提出基于车速、加速度及电池SOC值,通过模糊控制自动识别驱动模式策略。为了解决在复杂路况和环境下纯电动汽车动力性不足的问题,提出基于自适应模糊神经系统(ANFIS)的转矩补偿模型,对基础MAP转矩进行一定程度转矩补偿。通过Simulink/Cruise联合仿真,驱动控制策略可以有效识别驾驶员操作意图选择相应驱动模式给予合适的转矩补偿,提高纯电动汽车动力性能;此外,驱动控制策略可以很大程度增加纯电动汽车续航里程,提高经济性能。
A mode recognition strategy is proposed to automatically identify the driving mode,which based on vehicle speed,acceleration and battery SOC by fuzzy control in view of the single driving mode and complex operation to switch mode.In order to solve the poor power performance of pure electric vehicle in complex road conditions and environment,a torque compensation model based on adaptive neural-based fuzzy inference system(ANFIS)is proposed to compensate the reference MAP torque.The simulation results of Simulink/Cruise show that the driving control strategy can effectively identify the driver’s operation intention and select the corresponding driving mode.In addition,the driving control strategy can greatly improve the economic performance of the pure electric vehicle.
作者
罗润
牛志刚
LUO Run;NIU Zhi-gang(College of Mechanical Engineering,Taiyuan University of Technology,Shanxi Taiyuan030024,China)
出处
《机械设计与制造》
北大核心
2020年第11期37-41,共5页
Machinery Design & Manufacture
基金
山西省研究生联合培养基地人才培养项目(2018JD13)。
