The invention discloses a braking pressure degradation strategy of an electronic mechanical
braking system, and belongs to the technical field of
vehicle braking control, and the braking pressure degradation strategy of the electronic mechanical
braking system comprises the following steps: S1, multi-
sensor fusion is carried out to correct a
friction coefficient in real time, and a high-precision gridding pavement model is constructed; s2, performing
time sequence prediction on braking
torque distribution, dynamically constraining a braking
pressure threshold value and performing pre-adjustment; s3,
reinforcement learning is carried out to generate a prospective degradation sequence, and
thermal coupling and pressure fluctuation control are optimized; s4, dynamically encrypting the hierarchical communication architecture, and ensuring that the instruction is complete and consistent with the
time sequence through redundancy switching; s5, generating an
adversarial network compensation failure
signal, and dynamically adjusting the weight of the sensor to
resist interference; s6, triggering a man-
machine interaction strategy in a grading manner, and dynamically adjusting a safety threshold in combination with a driving behavior; s7, carrying out
simulation verification on the digital twin platform, and carrying out
fault injection encryption to update full-life-cycle parameters; the method has the beneficial effects that self-
adaptive optimization and hierarchical
fault tolerance of the
brake pressure are realized, and the
system safety and response efficiency are improved.