Battery Module Leak Detection Using Pressure-Temperature Deviation
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Solution Overview
Problem
Existing methods for detecting leakage in battery modules, such as humidity-based detection, are ineffective due to location-specific humidity variations, rendering them unreliable for accurately identifying leaks in hermetically sealed and IP sealed battery modules.
Innovation Solution
A battery module leakage detection device comprising a pressure and temperature sensor within the casing, which calculates pressure-to-temperature values and generates a leakage warning signal when these values deviate from baseline thresholds, allowing for accurate detection of cracks or gas releases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If humidity-based detection is used, then the detection method is simple, but the detection accuracy is poor due to location-specific humidity variations
Solution Approach 1:
The patent changes the detection parameter from humidity to the relationship between pressure and temperature. By monitoring how pressure changes with temperature (pressure-to-temperature value) and comparing it to baseline values, the system achieves accurate leakage detection without being affected by location-specific humidity variations. This parameter change resolves the contradiction by maintaining simple detection methodology while dramatically improving measurement precision.
2Measurement precision
If pressure and temperature monitoring is implemented, then leakage detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent makes the pressure and temperature sensors serve multiple functions: they monitor environmental conditions, detect leakage events, and enable prediction of future states. The same sensor data is used both for current leakage detection and for predicting future pressure and temperature values, reducing the need for additional specialized sensors and simplifying the overall system architecture.
Solution Approach 2:
The system uses its own operational data (pressure and temperature readings during normal operation) to establish baseline relationships and detect anomalies. The battery module's own operational characteristics are leveraged to create the detection mechanism, eliminating the need for external reference systems or additional complex instrumentation.
3Reliability
If baseline comparison method is used, then detection reliability is improved, but loss of time occurs during baseline establishment
Solution Approach 1:
The patent performs preliminary action by establishing baseline pressure-to-temperature relationships during the manufacturing process or initial operation phase. These baselines are stored and reused for subsequent leakage detections, eliminating the need to re-establish them each time. This preliminary establishment of reference data improves detection reliability while minimizing recurring time losses.
Solution Approach 2:
The patent replaces physical baseline comparison methods with a predictive model that uses mathematical relationships between pressure and temperature. Instead of storing and comparing against extensive baseline datasets, the system calculates expected future states based on observed relationships, reducing the time and data storage requirements while maintaining high reliability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution provides accurate and responsive leakage detection in battery modules, preventing ingress and thermal runaway by identifying cracks or gas releases through precise pressure and temperature monitoring, enhancing safety in electric vehicles and other applications.
Implementation Method 1
a pressure and temperature sensor within the battery module casing and that generates pressure and temperature values
Implementation Method 2
the pressure and temperature sensor... generates pressure and temperature values that indicate a current state of the battery module
Data Source
AI summary
Example apparatuses, methods, and systems for detecting battery module leakage are provided. An example battery module leakage detection device includes a pressure and temperature sensor and a controller. In some examples, the pressure and temperature sensor is positioned within a battery module casing of a battery module. In some examples, the controller is in electronic communication with the pressure and temperature sensor and configured to receive a plurality of detected pressure signals and a plurality of detected temperature signals, calculate a detected pressure-to-temperature value, calculate a pressure-to-temperature difference value, and, in response to determining that the pressure-to-temperature difference value is outside a tolerance threshold, generate a leakage warning signal associated with the battery module.