The invention discloses an ABS real-time self-
adaptive control method and
system based on hub sensing
signal fusion, and relates to the field of
automobile safety control. The method comprises the steps that S1, multi-source hub sensing signals of all wheels are synchronously collected; s2, calculating a hub response
coupling factor based on the multi-source hub sensing
signal; s3, calculating an instantaneous
slip rate based on the
coupling factor and the wheel speed in combination with vehicle dynamic parameters; s4, on the basis of the wheel speed, the braking torque and the tangential acceleration, the
coupling factor and the instantaneous
slip rate are combined, and the
normal load is calculated; s5, calculating an
adhesion coefficient according to the instantaneous
slip rate, the
normal load and the wheel speed; s6, according to the slip rate deviation, a fusion weight is generated in combination with the coupling factor, and the adhesion capacity of the whole vehicle is calculated; and S7, according to the
adhesion coefficient, the
normal load, the slip rate and the adhesion capacity of the whole vehicle, the target braking force is calculated, and the wheel braking strength is adjusted. By monitoring the state of the wheels in real time, the slip rate is accurately controlled, braking force distribution is optimized, and the response precision and stability of the ABS are improved.