A new energy vehicle intelligent door lock cooperative security system and method
By using components such as distributed fiber Bragg grating sensors and shape memory polymer latches, combined with graph neural networks and DS evidence theory, the problem of insufficient perception and execution failure of smart door locks for new energy vehicles under extreme working conditions has been solved. This has enabled accurate damage diagnosis and adaptive unlocking, ensuring the safety of escape routes and the independent operation of the system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SUZHOU VOCATIONAL UNIVERSITY (SUZHOU OPEN UNIVERSITY)
- Filing Date
- 2026-02-25
- Publication Date
- 2026-06-16
AI Technical Summary
Smart door locks for new energy vehicles have systemic shortcomings under extreme conditions such as collisions and power outages, including insufficient perception, rigid decision-making, execution failure, isolated system design, and lack of human-computer interaction, which prevent them from providing effective escape protection under extreme conditions.
The system employs components such as a distributed fiber optic grating sensor array, an automotive-grade radiation-resistant SoC chip, a shape memory polymer locking tongue, a multi-dimensional unlocking driver, and a vital signs radar. By combining graph neural networks and DS evidence theory, it achieves full-vehicle structural damage reconstruction, adaptive unlocking strategies, and multi-modal decision-making, ensuring that the system can operate independently under extreme conditions.
It achieves accurate diagnosis of collision consequences under extreme conditions, adaptive unlocking and provides a safe and reliable escape route, ensuring that the core system can continue to operate for tens of seconds after the main power system fails, providing life protection.
Smart Images

Figure CN122215587A_ABST