Electric door control method, device and vehicle
By acquiring user profiles, status, and scene feature factors, and combining them with neural network models to generate personalized control curves, the rigidity problem in electric door control systems has been solved, improving user experience and intelligence levels.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHONGQING LANDIAN AUTOMOBILE TECHNOLOGY CO LTD
- Filing Date
- 2026-05-29
- Publication Date
- 2026-07-17
AI Technical Summary
Existing vehicle electric door control systems use trapezoidal or S-shaped curves, resulting in an overly rigid opening and closing process that fails to meet the diverse needs of users in different scenarios and also causes mechanical vibration and jerking.
By acquiring user profile feature factors, state feature factors, and gate control scenario feature factors, and combining them with a neural network model, personalized control curves are dynamically generated to replace traditional fixed trapezoidal or S-shaped control curves. The system utilizes the vehicle's existing perception system to collect feature factors for electric door control.
It achieves an intelligent upgrade of electric door control, improves user experience, avoids mechanical vibration, has higher scene adaptability and behavior consistency, accurately reproduces users' manual door opening habits, and simplifies the complexity of system parameter tuning.
Smart Images
Figure CN122407038A_ABST