Research on Shift Control Strategy in Braking Conditions of Automatic Transmission Vehicles based on Fuzzy Inference

Yao Fu; Yulong Lei; Ke Liu; Yuanxia Zhang; Huabing Zeng

doi:10.4271/2014-01-1742

In a traditional shift control strategy, the gear range is selected based on the throttle opening and the vehicle speed. The disadvantage of two-parameter based system is that the shift map is lack of adaptability in certain special conditions. The driving environment and the true intentions of the drivers are not fully taken into account by the shift control system. Therefore, improving the feasibility of the shift control strategy for the true intentions of the driver and driving environment is of great significance.

Under braking conditions, Automatic transmission shift map with two parameters is unable to use engine braking effectively, which affects the drivability and safety of vehicles greatly. This paper presents a newly developed shift control strategy under braking conditions. First of all, the necessity of engine braking was analyzed. Then, this paper proposed a shift control strategy based on fuzzy inference of braking duration, load, braking deceleration and the vehicle speed. The fuzzy inference system considers drivers' intentions and driving environment. Road tests indicated that the proposed shift control strategy improved driving safety of automatic transmission vehicle under braking conditions.

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Research on Shift Control Strategy in Braking Conditions of Automatic Transmission Vehicles based on Fuzzy Inference 2014-01-1742

SAE MOBILUS