Research on adaptive gearshift decision method based on driving intention recognition

• Main Authors: Yulong Lei, Yuanxia Zhang, Yao Fu, Ke Liu
• Format: Article
• Language: English
• Published: SAGE Publishing 2018-10-01
• Series: Advances in Mechanical Engineering
• Online Access: https://doi.org/10.1177/1687814018805353

One of the main tasks of adaptive gearshift decision-making is to recognize the driving intention, which reflects the adaptability of the vehicle to the driver. This article proposes a method of classification and recognition to recognize this kind of intention, which based on an improved Gustafson–Kessel clustering analysis, and constructs the corresponding fuzzy recognition system based on the method of extracting the fuzzy rules of the driving intention from classification results. Driving intention recognition results as the driver power demand factor, which is the basis of adaptive gearshift decision for the vehicle to adapt to the driving intention, which reflects the driver’s demand for vehicle power. Based on the factor, by using the method of interpolation between economy and power shift line, making gearshift decision is adaptive of driver’s intention. In the end, through the real vehicle experiment, it is proved that the method can effectively recognize the driving intention and the adaptability of the decision.