Driving Habit Recognition and Shifting Correction Control of Vehicle Automatic Transmission

doi:10.3901/JME.2020.20.120

Abstract

Abstract: 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.

Key words: driving habits recognition, phase space reconstruction, driving habits evaluation index, shifting correction, real-vehicle test

CLC Number:

U461

XIA Guang, ZHANG Yang, WEI Zhenya, TANG Xiwen, CHEN Wuwei. Driving Habit Recognition and Shifting Correction Control of Vehicle Automatic Transmission[J]. Journal of Mechanical Engineering, 2020, 56(20): 120-133.

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