Vehicle Locking Control for Partially Autonomous Parking Readiness
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Solution Overview
Problem
Modern motor vehicles with automatic locking and shutdown systems often face conflicts with partially autonomous parking functions, where data required for parking is erased during shutdown, leading to disadvantages in sensor and controller shutdown, especially when partially autonomous parking is intended afterward.
Innovation Solution
A method for controlling a locking system that delays automatic shutdown of a motor vehicle if partially autonomous parking is expected, by determining and evaluating features such as user data, geographical position, and surroundings, allowing the system to determine if the function will be used, and optionally locking the vehicle before or during the delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic locking and shutdown is activated, then security and energy efficiency are improved, but data required for partially autonomous parking is lost
Solution Approach 1:
The system performs preliminary evaluation of features (geographical position, user behavior patterns, surroundings) before executing shutdown to determine if parking function will be needed. This advance assessment prevents unnecessary data loss by conditionally delaying shutdown when parking is expected to be used.
Solution Approach 2:
The shutdown timing is made dynamic rather than fixed. The system adapts the shutdown execution time based on real-time feature evaluation, extending the operational state of sensors and controllers when parking functionality is anticipated, thereby preserving necessary data while maintaining security when parking is not expected.
2Use of energy by moving object
If sensors and controllers are shut down during locking, then energy consumption is reduced, but partially autonomous parking functionality is compromised
Solution Approach 1:
The system evaluates multiple features in advance (geographical position, user behavior patterns, surrounding environment) to predict whether parking function will be needed before executing shutdown. This preliminary assessment allows conditional extension of sensor and controller operation to preserve parking capability when necessary.
Solution Approach 2:
The shutdown execution is made dynamic based on feature evaluation results. When parking functionality is expected, the system dynamically extends the operational state of sensors and controllers beyond the standard shutdown time, balancing energy consumption with functional adaptability.
3Speed
If shutdown is executed immediately after locking, then system responsiveness is improved, but data validity for subsequent parking operations cannot be ensured
Solution Approach 1:
The system performs preliminary feature evaluation and prediction of parking usage before executing shutdown. This advance assessment enables conditional delay of shutdown to preserve data validity when parking is expected, while maintaining rapid shutdown execution when parking is not anticipated.
Solution Approach 2:
The shutdown timing is dynamically adjusted based on feature evaluation. When parking functionality is predicted, the system dynamically extends the operational state to ensure data validity for subsequent parking operations, while maintaining fast responsiveness when parking is not expected.
Data Source
AI summary
A method for controlling a locking system for automatic locking and shutdown of a motor vehicle comprising a device for partially autonomous parking is described. The method comprises the following steps: receiving a request for automatic locking and shutdown of the motor vehicle; determining at least one feature which identifies an imminent use of the function for partially autonomous parking; evaluating the at least one feature captured and on the basis thereof determining whether a use of the function for partially autonomous parking is to be expected; delaying the automatic shutdown of the motor vehicle if it was determined that a use of the function for partially autonomous parking is to be expected.