基于行驶状况识别的HEV驾驶人意图辨识模型研究

Study on the Identification Model of HEV Driver's Intention Based on Driving Condition Recognition

针对混合动力电动汽车(HEV)能量控制策略中驾驶人意图辨识不准导致整车能耗增加的问题,以某款混联式HEV为研究对象,首先在分析其结构参数的基础上,建立了汽车行驶状况辨识模型和驾驶人"加速踏板行程—车速需求"非线性关系模型。基于此,得出基于行驶状况识别的HEV驾驶人需求转矩意图辨识模型。最后,为分析基于行驶状况识别的驾驶意图辨识模型对HEV驱动能耗的影响,进行了实车行驶实验,得出有行驶状况识别的驾驶人意图辨识模型,相对无辨识的模型可以节约驱动能耗3.27%的结论。

Aiming at the problem that identification of drivers＇ intention in the energy control strategy of hybrid electric vehicle（HEV）is inaccurate to result in the increase of energy consumption, this paper takes a series-parallel HEV as the research object, and based on the analysis of the HEV＇s structural parameters, established the identification model of vehicle driving conditions and ＂the accelerator pedal stroke-demand speed＂ nonlinear relation model. And then, the identification model of HEV driver＇s demand torque intention based on the driving condition identification was obtained. Finally, in order to analyze the influence of identification model of the driver＇s intention based on the driving condition identification on the HEV driving energy consumption, the real vehicle driving experiment was carried out, and it is concluded that a HEV with the identification model of the driver＇s intention based on the driving condition identification compare to the one without identified model can save 3.27% of the energy consumption.