摘要
对基于规则类的定参数控制算法中的控制参数进行优化,建立驾驶意图的模糊识别模型,制定智能算法,并进行仿真分析。结果表明:智能算法使得整车的需求转矩更加准确,车辆对驾驶员的适应性更强,燃油经济性更好。
The authors optimize the control parameters in the fixed-parameter control algorithm based on rule class,establish the fuzzy identification model of the driving intention,formulate the intelligent algorithm,and perform simulation analysis.The results show that the intelligent algorithm makes the demand torque of the vehicle more accurate,more adaptability to the driver,and better fuel economy.
作者
赵金宝
校金龙
ZHAO Jinbao;XIAO Jinlong(Henan Industry&Trade Vocational College,Zhengzhou 450000,China)
出处
《客车技术与研究》
2022年第1期17-20,24,共5页
Bus & Coach Technology and Research
关键词
插电式混合动力汽车
驾驶意图
参数优化
智能算法
plug-in hybrid electric vehicle
driving intention
parameter optimization
intelligent algorithm