Battery Overheating Diagnosis Using Moving Temperature Averages
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Solution Overview
Problem
Existing methods for diagnosing battery overheating are inadequate as they fail to provide timely and accurate detection, often leading to false positives due to aging-related temperature increases and insufficient time for preventive measures.
Innovation Solution
An overheating diagnosis apparatus and method that utilizes a measuring unit to collect temperature data, a storage unit to store historical temperature values, and a control unit to calculate a moving average value and a reference value based on previous diagnosis points, comparing the measured temperature to the reference value to diagnose overheating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed reference value is used for overheating diagnosis, then the diagnosis method is simple, but it causes false positives due to aging-related temperature increases and insufficient detection accuracy
Solution Approach 1:
The reference value is changed from a fixed static value to a dynamic moving average value that automatically adapts to the battery's aging characteristics. The control unit calculates the moving average of historical temperature values and uses this as the dynamic reference, allowing the system to accommodate temperature increases due to aging while maintaining accurate overheating detection.
Solution Approach 2:
The diagnosis threshold parameter is transformed from a constant fixed value to a variable moving average value that changes over time. By continuously updating the reference value based on historical temperature data, the system adjusts its sensitivity to match the battery's actual thermal characteristics at different stages of its lifecycle.
2Reliability
If a fixed reference value is used for overheating diagnosis, then the response time is fast, but it leads to premature diagnosis due to aging-related temperature increases
Solution Approach 1:
The system uses a dynamic moving average reference value that evolves with the battery's aging process. This allows the diagnosis threshold to automatically increase as the battery ages and its operating temperature naturally rises, preventing premature overheating diagnoses while maintaining reliable detection of actual overheating events.
Solution Approach 2:
The control unit continuously monitors temperature values and feeds this information back to update the moving average reference value. This feedback mechanism ensures that the reference value accurately reflects the battery's actual thermal behavior over time, improving diagnosis reliability without causing premature alerts.
3Measurement precision
If the moving average method is used to calculate reference value, then false positives are reduced, but the calculation complexity increases
Solution Approach 1:
The system implements a dynamic moving average calculation that adapts to the battery's operational characteristics. Rather than using a complex adaptive algorithm, the control unit simply calculates the average of a predetermined number of historical temperature values, providing an efficient yet accurate method to reduce false positives while maintaining computational simplicity.
4Reliability
If historical temperature values are stored and processed, then aging-related temperature changes are accounted for, but the data storage requirements increase
Solution Approach 1:
The system stores only a predetermined number of historical temperature values necessary for calculating the moving average reference value, rather than storing all historical data. This partial action approach provides sufficient information to account for aging-related temperature changes while minimizing data storage requirements.
Data Source
AI summary
An overheating diagnosis method and an overheating diagnosis apparatus are discussed. The overheating diagnosing apparatus includes a measuring unit configured to measure a temperature of an object; a storage unit configured to store a plurality of temperature values measured by the measuring unit, and a control unit configured to, at each diagnosis time point of diagnosing overheating of the object, extract a plurality of previous diagnosis time points corresponding to a predetermined number of samples based on a respective diagnosis time point, calculate a moving average value that is an average of the plurality of temperature values corresponding to a plurality of diagnosis time points, respectively, and compare the temperature value measured at each diagnosis time point with a reference value equal to or greater than the moving average value by a predetermined value, to diagnose the overheating of the battery.