The anti-slip strategy of the P2.5 hybrid system is based on the anti-slip condition determination, the anti-slip torque limit control and anti-slip torque filter control and the clutch coordination. The specific contents are as below: The anti-slip condition determination. The maximum allowable requested torque limit is calculated in advance according to the current ambient temperature, slope, steering angle, speed and other conditions for anti-slip feedforward control, so as to avoid the vehicle slip on the low adhesion road surface. The anti-slip torque limit control. When the body stability system works normally, the anti-slip control is handed over to the body stability system for control. When the body stability system is not working properly, the vehicle controller performs closed-loop control according to the slip error. According to the speed difference between the front wheel and the rear wheel, the acceleration of the left front wheel and the right front wheel, the anti-slip grades are judged and the anti-slip torque is limited based on the difference between the target speed of the output shaft and the actual speed of the actual output shaft and the change rate. The anti-slip torque filter control. In order to rapidly reduce the wheel end driving force to suppress the slip, the torque filtering speed is fast enough to meet the requirements, and the torque filtering at this time needs to be distinguished from the torque filtering at normal times. In order to avoid the frequent jump of the torque filter coefficient caused by anti-slip, the torque filter coefficient calculated by anti-slip is used only when the requested torque and anti-slip torque limit are greater than the threshold. The vehicle results are conducted and show that the anti-slip control strategy can meet the request of the driver and the good drivability performance can be achieved.


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    Title :

    Research on antislip control in P2.5 hybrid vehicles


    Contributors:

    Conference:

    Third International Conference on Control and Intelligent Robotics (ICCIR 2023) ; 2023 ; Sipsongpanna, China


    Published in:

    Proc. SPIE ; 12940


    Publication date :

    2023-12-01





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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