Battery Temperature Monitoring With Adaptive Sleep Wake Control
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Solution Overview
Problem
Electric vehicles face challenges in efficiently monitoring battery temperatures to prevent thermal runaway and fires while minimizing energy consumption, as existing systems often deactivate all power-consuming systems during storage, leaving them susceptible to undetectable thermal hazards.
Innovation Solution
A controller for electric vehicles that enters a sleep mode to conserve energy, periodically wakes up to perform temperature checks, and activates alarm states if thresholds are exceeded, balancing safety and energy efficiency by using predefined and dynamically adjusted criteria based on fleet data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system performs continuous temperature monitoring, then safety is improved, but energy consumption increases
Solution Approach 1:
The controller enters sleep mode to conserve energy and periodically wakes up to perform temperature checks at predetermined intervals. This periodic monitoring approach maintains safety while significantly reducing energy consumption compared to continuous monitoring.
Solution Approach 2:
The system dynamically adjusts its monitoring behavior based on conditions. The controller can extend the sleep period based on ambient temperature conditions and battery state of charge, making the monitoring frequency adaptive rather than fixed.
2Use of energy by moving object
If the system enters sleep mode to conserve energy, then energy consumption is reduced, but detection capability is worsened
Solution Approach 1:
The controller performs temperature checks before entering extended sleep modes. By checking temperature conditions beforehand and adjusting the sleep period accordingly, the system ensures detection capability is maintained when needed while maximizing energy savings when safe.
Solution Approach 2:
The system uses temperature readings to feedback and adjust future monitoring behavior. If temperatures are low and safe, the controller extends sleep periods. If temperatures approach thresholds, the controller reduces sleep periods or triggers alarms, creating a responsive feedback loop.
3Device complexity
If the system uses fixed monitoring intervals, then system complexity is reduced, but adaptability is worsened
Solution Approach 1:
The monitoring interval is not fixed but dynamic. The controller adjusts the sleep period length based on ambient temperature conditions and battery state of charge, allowing the system to adapt to different conditions without requiring complex real-time analysis.
Solution Approach 2:
The system changes monitoring parameters (sleep period duration) based on measured conditions. By adjusting the time interval between temperature checks according to ambient temperature and charge state, the system achieves adaptability through parameter modification rather than complex decision logic.
Data Source
AI summary
The present specification provides an electric battery monitoring system. The system has particular application in electric vehicles where there it is desired to balance energy consumption to preserve vehicle range while also periodically monitoring for unsafe conditions that could lead to a thermal event.