The invention discloses an AI modeling-based automobile bumper parameter determination method and
system, relates to the technical field of AI modeling, is used for solving the problem of deviation in automobile bumper parameter determination, and selects a distance between an
impact point and an automobile door according to an
impact angle to calculate a side angle
impact score by calling an AI modeling bumper parameter data packet and a confirmation mechanism. A simulated impact experiment is conducted, a
diagonal deformation difference value and an
extrusion force difference value of the front bumper and the rear bumper are obtained to generate a
diagonal response
score, a collision angle collision coefficient is obtained in combination with a side angle collision
score and marked as side face collision or front face collision, a side face collision
label is called, the number is counted, and whether a parameter supplement rule is introduced or not is judged; the maximum deformation and the
residual deformation are collected to calculate the deformation
recovery rate, a fatigue supplement coefficient is obtained by combining the number of the
side impact labels, whether the deformation
recovery rate is introduced or not is judged according to the fatigue supplement coefficient, a parameter confirmation mechanism is imported after screening, and intelligent distinguishing of impact
modes at different impact angles is achieved.