Resource conservation has become a hot topic, and driving habits also have a significant impact on a car’s fuel consumption. In view of the different needs of drivers with different driving habits for automatic transmission and shift characteristics, a vehicle automatic transmission, and shift correction control strategy based on driving habit recognition is proposed. Based on the analysis of drivers’ driving behavior, the phase space reconstruction method is first used to reconstruct the time series of driving control signals, and the driving habit identification and gear shift correction control are conducted based on the correlation dimension and Kolmogorov entropy evaluation index. Simulation and real car test show that the identification method based on phase space reconstruction method and driving habits evaluation index can accurately identify drivers’ driving habits. The gear shift correction control strategy based on driving habit recognition fully meets the different requirements of different drivers for the gearshift performance of vehicles and improves the intelligence degree of automatic transmission of vehicles.

资源节约成为热门话题，驾驶习惯对汽车的油耗也有显着影响。针对不同驾驶习惯的驾驶员对自动变速器和换挡特性的不同需求，提出了一种基于驾驶习惯识别的车辆自动变速器及换挡校正控制策略。在分析驾驶员驾驶行为的基础上，首先采用相空间重构方法重构驾驶控制信号的时间序列，并基于相关维数和柯尔莫哥洛夫熵评价指标进行驾驶习惯识别和换挡校正控制。 . 仿真和实车测试表明，基于相空间重构法和驾驶习惯评价指标的识别方法能够准确识别驾驶员的驾驶习惯。基于驾驶习惯识别的换挡修正控制策略，充分满足了不同驾驶员对车辆换挡性能的不同要求，提高了车辆自动变速器的智能化程度。