BMS Temperature Sensor Diagnosis for Early Battery Cell Overheat Detection
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Solution Overview
Problem
Existing battery temperature monitoring systems fail to quickly diagnose abnormal temperature states due to reliance on absolute cell temperature without considering ambient temperature changes, leading to potential explosions and reduced battery lifespan.
Innovation Solution
A system using first and second temperature measurement units to measure cell periphery and surface temperatures, calculating their difference, and employing primary and secondary diagnosis units to detect abnormal states based on predetermined reference values and duration times, with action units to block current flow or disconnect power lines when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If absolute cell temperature is used for diagnosis, then the diagnosis system is simple, but the temperature abnormal state cannot be quickly diagnosed
Solution Approach 1:
The temperature diagnosis is segmented into two parts: ambient temperature measurement (first temperature measurement unit) and cell temperature measurement (second temperature measurement unit). By dividing the temperature monitoring into ambient and cell components, the system can calculate temperature difference to detect abnormalities earlier, improving diagnosis reliability without excessive complexity increase.
Solution Approach 2:
The system performs preliminary measurement of ambient temperature before cell temperature rise occurs. By continuously monitoring ambient temperature in advance, the system can calculate the expected cell temperature and detect deviations early, enabling proactive diagnosis before the cell temperature reaches dangerous levels.
2Loss of time
If only cell surface temperature is measured, then the measurement system is simple, but early detection of temperature abnormalities is delayed
Solution Approach 1:
The temperature measurement is segmented into ambient temperature (first temperature measurement unit) and cell surface temperature (second temperature measurement unit). This segmentation allows the system to detect temperature abnormalities by comparing the temperature difference between ambient and cell, enabling earlier detection than monitoring cell temperature alone.
Solution Approach 2:
The system uses feedback by continuously calculating the temperature difference between ambient and cell measurements. When this difference exceeds a threshold or shows abnormal trends, the system triggers diagnosis and protective actions, creating a closed-loop feedback mechanism for rapid abnormality detection.
3Productivity
If temperature diagnosis is performed continuously, then the diagnosis speed is fast, but the energy consumption increases
Solution Approach 1:
The temperature measurement and diagnosis are performed periodically at predetermined intervals rather than continuously. This periodic operation maintains adequate diagnosis speed for safety while significantly reducing energy consumption compared to continuous monitoring, optimizing the balance between productivity and energy use.
Data Source
AI summary
The present invention relates to a temperature condition diagnosis system and method for diagnosing a temperature abnormal state of a battery cell or module according to a relative temperature change of the battery cell using a difference in cell or module surface temperature compared to a battery management system (BMS) temperature sensor.