Battery Pack Thermal Abnormality Detection Without Ambient Sensors
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Solution Overview
Problem
Existing methods for diagnosing the temperature adjustment function of battery packs in electric vehicles are costly and struggle to differentiate between environmental temperature changes and failures in the temperature adjustment mechanism.
Innovation Solution
A system that acquires temperature data from multiple battery packs over a predetermined period, calculates statistical values based on temperature change rates during charging periods, and determines abnormal temperature adjustment functions by comparing these values to threshold levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature sensors are provided at both inlet and outlet parts of the battery pack to detect temperature difference, then abnormality detection accuracy is improved, but system cost increases due to additional sensors
Solution Approach 1:
The patent combines temperature data from multiple battery packs into a single statistical analysis system. Instead of using separate sensors at inlet and outlet, the system merges temperature data from corresponding locations across multiple battery packs to collectively detect abnormalities, reducing per-unit sensor requirements while maintaining detection accuracy through aggregated statistical analysis
Solution Approach 2:
The temperature data acquisition system serves multiple functions: it monitors individual battery pack temperatures, enables statistical comparison across the fleet, detects abnormalities through deviation analysis, and provides baseline temperature profiles for future monitoring. This multi-functional approach eliminates the need for dedicated inlet/outlet sensors while achieving comprehensive monitoring
2Measurement precision
If environmental temperature data is acquired to diagnose cooling system abnormality, then diagnostic accuracy is improved, but system complexity and data acquisition requirements increase
Solution Approach 1:
The patent extracts and removes environmental temperature as a variable from the diagnostic equation. By analyzing temperature deviations purely from battery pack data without incorporating environmental temperature measurements, the system eliminates the need for external environmental sensors and complex environmental compensation algorithms, achieving simplified diagnostics that remain accurate through statistical comparison
Solution Approach 2:
The system uses the battery pack's own temperature data to diagnose its thermal management system. Through statistical comparison with other battery packs, the system self-diagnoses abnormalities without requiring external environmental references, making the diagnostic process self-sufficient and independent of additional environmental sensing infrastructure
3Device complexity
If only cell temperature data is used without environmental temperature, then system simplicity is maintained, but ability to distinguish environmental influence from mechanism failure deteriorates
Solution Approach 1:
The patent merges temperature data from multiple battery packs to create a statistical baseline. By combining data across the fleet, the system distinguishes between environmental influences (which affect all packs similarly) and actual thermal management failures (which cause deviations from the statistical norm), maintaining simplicity while improving differentiation accuracy through aggregated analysis
Solution Approach 2:
The system segments temperature analysis into individual battery pack profiles and then compares these segmented profiles statistically. This segmentation allows the system to identify which specific packs deviate from the normal range while filtering out common environmental effects, achieving accurate failure differentiation without requiring environmental temperature measurements
Data Source
AI summary
A data acquisition unit acquires temperature data for a plurality of battery packs mounted on different equipment (e.g., electric-powered vehicle) in a predetermined period. A statistical calculation unit calculates, for each battery pack, a statistical value based on a temperature change rate in a plurality of charging periods included in the predetermined period. A determination unit determines a temperature adjustment function of the equipment for which a deviation of the statistical value based on the temperature change rate is equal to or greater than a threshold value to be abnormal.