驾驶员驾驶习惯识别与车辆自动变速换档修正

根据不同驾驶员的不同驾驶习惯对自动变速器换档策略进行适应优化。在对驾驶员驾驶操纵行为分析的基础上,提出基于相空间重构与驾驶习惯评价指数的驾驶习惯识别方法实现驾驶习惯识别。首先利用相空间重构方法对驾驶操纵信号时间序列进行相空间重构,建立基于关联维数和Kolmogorov熵的驾驶习惯评价指数进行驾驶习惯识别与换档修正控制,根据不同的驾驶习惯选择不同的换档修正系数,以满足驾驶员的不同换档需求。仿真与实车试验表明,基于相空间重构方法和驾驶习惯评价指数的识别方法可准确识别驾驶员的驾驶习惯,基于驾驶习惯识别的换档修正控制策略可有效完成对车辆自动变速换档规律的修正,充分满足不同驾驶员对车辆换档性能的不同需求,提高车辆自动变速的智能化程度。

Driving Habit Recognition and Shifting Correction Control of Vehicle Automatic Transmission

Adapting the automatic transmission shift strategy according to driving habits according to different driving habits of different drivers. Based on the analysis of driver's driving maneuver behavior, a driving habit recognition method based on phase space reconstruction and driving habits evaluation index is proposed to realize driving habit recognition. Firstly, the phase space reconstruction of the driving maneuver signal time series is performed using the phase space reconstruction method, constructing driving habits evaluation index based on correlation dimension and Kolmogorov entropy for driving habit identification and shift correction control. According to different driving habits, different shift correction factors are selected to meet the driver's different shift requirements. Simulation and real-vehicle tests show that the identification method based on the phase space reconstruction and driving habits evaluation index can accurately identify the driver's driving habits, the shift correction control strategy based on the driving habit identification can effectively complete the automatic transmission shift law. The amendments fully meet the different demands of different drivers on the shift performance of vehicles, and increase the intelligent degree of automatic transmission of vehicles.