Battery Abnormal Condition Prediction Using Multi-Sensor Threshold Detection
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Solution Overview
Problem
Current battery management systems are unable to detect thermal runaway in batteries effectively in advance, relying solely on temperature monitoring and lacking systems to prevent such events before they occur, especially in medium and large-sized batteries used in electric vehicles.
Innovation Solution
A battery abnormal condition prediction apparatus that compares temperature, pressure, and gas concentration values with predetermined thresholds using multiple sensors, allowing for early detection of thermal runaway and other abnormal behaviors, such as electrolyte solution leakage, through a system of comparators and detection units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensors (temperature, pressure, gas) are integrated for comprehensive monitoring, then detection reliability is improved, but device complexity increases
Solution Approach 1:
The monitoring system is segmented into three independent sensor modules (temperature sensor, pressure sensor, gas sensor), each responsible for detecting a specific parameter. This segmentation allows the system to achieve comprehensive monitoring through modular components, improving reliability without overwhelming complexity by dividing the monitoring function into manageable segments.
Solution Approach 2:
The battery management system is designed with multi-functionality to perform temperature monitoring, pressure monitoring, and gas concentration monitoring through a unified control structure. The system integrates multiple sensing functions into a single management platform, reducing overall system complexity while maintaining comprehensive detection capabilities across multiple parameters.
2Reliability
If threshold comparison detection is implemented for early abnormality detection, then safety is improved, but measurement precision requirements increase
Solution Approach 1:
The system performs preliminary detection by continuously comparing sensor readings against pre-set threshold values. This preliminary action allows the system to identify abnormal conditions before they escalate into critical failures, improving safety by enabling early intervention. The threshold comparison method provides a practical balance between detection capability and measurement precision requirements.
Data Source
AI summary
An apparatus and method to detect an abnormal behavior of a battery, including a receiving portion receiving information indicating a temperature value, a pressure value, and a gas concentration value respectively from a temperature sensor measuring temperature inside a battery module, a pressure sensor measuring pressure inside the battery module, and a gas sensor measuring gas concentration inside the battery module, a comparison portion comparing the temperature value, the pressure value, and the gas concentration value with first, second, and third threshold values, respectively, and a detection portion determining occurrence of abnormal behavior of the battery when the comparison result shows the pressure value exceeding the second threshold value falling below the second threshold value or the gas concentration value exceeding the third threshold value, while the temperature value exceeds the first threshold value.