Battery Thermal Runaway Warning Using Primary and Secondary Features
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Solution Overview
Problem
Existing battery thermal runaway warning systems face challenges such as increased costs and complexity due to the use of multiple sensors, which can lead to false alarms and failure to detect thermal runaway accurately.
Innovation Solution
A method and apparatus that classify thermal runaway features into primary and secondary features, where the secondary feature is only triggered after the primary feature, reducing false alarms and improving response times without requiring additional hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors (temperature, voltage, smoke, air pressure) are used to monitor battery pack, then the warning accuracy for thermal runaway is improved, but the cost and device complexity increase
Solution Approach 1:
The patent extracts and focuses on the most critical indicators for thermal runaway prediction: temperature and voltage. By eliminating less critical sensors (smoke, air pressure) and concentrating on these two key parameters, the system achieves effective thermal runaway detection with reduced complexity and cost while maintaining warning accuracy
Solution Approach 2:
The patent makes existing temperature and voltage sensors serve multiple functions: not only their original monitoring purposes but also as indicators for thermal runaway prediction. By analyzing the correlation between temperature-voltage relationships and thermal runaway characteristics, the system achieves multi-functional use of minimal sensors, reducing the need for additional specialized sensors
Data Source
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AI summary
The present disclosure belongs to the field of battery management technologies, and relates to a warning method and apparatus for battery thermal runaway, a medium, and a device. The warning method for battery thermal runaway includes: acquiring current temperature data of each temperature sensor arranged in a battery pack, current voltage data of each voltage sensor arranged in the battery pack, and current sensor disconnection data of each temperature sensor; calculating a number of occurrences of a primary feature at a current moment according to the current temperature data; calculating a number of occurrences of a secondary feature at the current moment according to the current voltage data and the current sensor disconnection data in a case that the number of occurrences of the primary feature is greater than 0; calculating a sum of the number of occurrences of the primary feature and the number of occurrences of the secondary feature at the current moment; and sending a warning for battery thermal runaway in a case that the sum is greater than a preset feature number threshold.