Vehicle Storage Temperature Estimation for Data Retention Control
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Solution Overview
Problem
Autonomous vehicle storage devices face reliability issues and increased power consumption when parked for extended periods due to exposure to varying temperatures, leading to data degradation and inefficient energy use.
Innovation Solution
An electronic device in the vehicle estimates the storage device's temperature based on outside temperature data and a preset offset, determining a data management period to perform operations that ensure data reliability and minimize power consumption by controlling battery supply and data retention signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If power is cut off to the storage device when the vehicle is parked, then power consumption is reduced, but data reliability decreases due to temperature exposure
Solution Approach 1:
The system performs preliminary actions by estimating the storage device temperature before power cutoff and determining an appropriate power-off duration based on this estimation. This allows the system to optimize the balance between power savings and data reliability by keeping the storage device powered on for sufficient time to maintain data integrity while still achieving power conservation during parking periods.
2Reliability
If power is continuously supplied to the storage device, then data reliability is maintained, but power consumption increases
Solution Approach 1:
The system dynamically adjusts the power supply strategy based on real-time temperature estimation and vehicle status. Instead of a static power supply approach, the system continuously monitors temperature, estimates storage device temperature, and adaptively determines power-off durations, enabling optimal balance between data reliability and power consumption under varying environmental conditions.
Solution Approach 2:
The system changes the power supply parameter (power-off duration) based on temperature estimation results. By adjusting this parameter dynamically according to environmental temperature and storage device temperature estimates, the system optimizes the trade-off between maintaining data reliability and reducing power consumption during vehicle parking periods.
3Reliability
If data management operations are performed frequently, then data reliability is improved, but productivity decreases due to operational overhead
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring vehicle status, receiving temperature information, and estimating storage device temperature to determine appropriate data management operations. This feedback loop enables the system to perform data management operations only when necessary, balancing data reliability maintenance with operational efficiency by avoiding unnecessary frequent operations.
Data Source
AI summary
The present disclosure relates to electronic devices. An example electronic device installed in a vehicle includes a communication interface and a data retention circuit that communicates through the communication interface. The data retention circuit estimates a temperature of a storage device based on information about an outside temperature received through the communication interface and a preset temperature offset, and determines a data management period of the storage device in an off state based on the estimated temperature of the storage device and a data retention parameter.