驾驶员驾驶习惯识别与车辆自动变速换档修正

doi:10.3901/JME.2020.20.120

机械工程学报 ›› 2020, Vol. 56 ›› Issue (20): 120-133.doi: 10.3901/JME.2020.20.120

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驾驶员驾驶习惯识别与车辆自动变速换档修正

夏光^1,2, 张洋^1,2, 魏振亚², 唐希雯³, 陈无畏²

1. 合肥工业大学汽车工程技术研究院合肥 230009;
2. 合肥工业大学汽车与交通工程学院合肥 230009;
3. 国防科技大学电子对抗学院合肥 230037

收稿日期:2019-10-22 修回日期:2020-05-27 出版日期:2020-10-20 发布日期:2020-12-18
作者简介:夏光(通信作者),男,1983年出生,博士,副研究员,硕士研究生导师。主要研究方向为车辆主动安全与控制、车辆自动变速控制。E-mail:xiaguang008@163.com 张洋,男,1996年出生,硕士研究生。主要研究方向为工程车辆主动安全。E-mail:15705608994@163.com 魏振亚,男,1988年出生,博士研究生。主要研究方向为车辆动力学与控制。E-mail:18655186161@163.com 陈无畏,男,1951年出生,博士,教授,博士研究生导师。主要研究方向为车辆动力学与控制。E-mail:cwwmail@hf.ah.cn
基金资助:
国家自然科学基金(51875151)、科技部重点研发计划(2016YFD0700604,2016YFD0700605)和安徽省科技计划(2017030701043,1804a09020017)资助项目。

Driving Habit Recognition and Shifting Correction Control of Vehicle Automatic Transmission

XIA Guang^1,2, ZHANG Yang^1,2, WEI Zhenya², TANG Xiwen³, CHEN Wuwei²

1. Institute of Automotive Engineering Technology, Hefei University of Technology, Hefei 230009;
2. School of Automotive and Traffic Engineering, Hefei University of Technology, Hefei 230009;
3. School of Radar Confrontation, National University of Defense Technology, Hefei 230037

Received:2019-10-22 Revised:2020-05-27 Online:2020-10-20 Published:2020-12-18

摘要/Abstract

摘要： 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。

关键词: 驾驶习惯识别, 相空间重构, 驾驶习惯评价指数, 换档修正, 实车试验

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

中图分类号:

U461

夏光, 张洋, 魏振亚, 唐希雯, 陈无畏. 驾驶员驾驶习惯识别与车辆自动变速换档修正[J]. 机械工程学报, 2020, 56(20): 120-133.

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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驾驶员驾驶习惯识别与车辆自动变速换档修正

Driving Habit Recognition and Shifting Correction Control of Vehicle Automatic Transmission

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