The application relates to the technical field of automobile electronic control, and discloses an
intelligent control method and
system for an automobile glass lifter, aiming to solve the technical problem that existing anti-pinch control relies on a fixed threshold, cannot adapt to environmental and aging changes, and can only be passively responded. The method comprises the following steps: acquiring multi-
modal data of lifter states, indoor and outdoor environments, and short-range obstacles of a window in real time; constructing and updating a dynamic digital twin model representing physical characteristics; generating a multi-dimensional state deviation instruction based on the deviation between
model prediction and actual measurement data; fusing the instruction and short-range detection data to generate a hierarchical decision containing early warning, pre-contact and collision type anti-pinch; and dynamically adjusting the motor driving strategy accordingly to realize intelligent lifting and ice breaking functions. The application significantly improves the anti-pinch reliability, safety and intelligent level through predictive protection and
full life cycle adaptive calibration.