Vehicle Access System Battery Management via Interface Diversity
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Solution Overview
Problem
Existing vehicle access systems face challenges in efficiently managing battery power and security through diverse communication interfaces, particularly in determining proximity between vehicles and identification devices, which affects access control and power conservation.
Innovation Solution
A method and system that determine environmental patterns for multiple interfaces between a vehicle and an identification device, allowing access if patterns match and powering down devices when they do not, using an ECU system to manage access rights and conserve power by adjusting communication strategies based on interface proximity and signal strength.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple communication interfaces are continuously monitored for vehicle access, then security and access control capability are improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts the monitoring state of communication interfaces based on environmental patterns. When patterns indicate the identification device is not in proximity, the system transitions interfaces from active monitoring to power-saving states, thereby reducing power consumption while maintaining security when needed
Solution Approach 2:
The system changes operational parameters of communication interfaces by comparing environmental patterns (such as signal strength, presence detection) to determine whether to activate or deactivate specific interfaces. This parameter-based control allows the system to optimize between security monitoring and power consumption based on real-time conditions
2Measurement precision
If environmental patterns are monitored across multiple interfaces to determine proximity, then access control accuracy is improved, but system complexity increases
Solution Approach 1:
The ECU system performs multiple functions using a unified approach: it monitors environmental patterns across different communication interfaces (LTE, Wi-Fi, BLE) and uses the same pattern-matching logic for all interfaces. This multi-functional design improves proximity detection accuracy without proportionally increasing system complexity
Solution Approach 2:
The system segments the interface monitoring task by handling each communication interface (LTE, Wi-Fi, BLE) as a separate entity with its own environmental pattern data. The ECU independently evaluates patterns from each interface and combines them for comprehensive proximity determination, making the complex system manageable through modular processing
Data Source
AI summary
A method for access to a vehicle includes determining first environment patterns for a plurality of interfaces relative to a vehicle, determining whether the first environment patterns match second environment patterns for the plurality of interfaces relative to an identification device, and allowing access to the vehicle if a match is determined.