Battery Gas Sensing for Electrolyte Leak Differentiation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing battery systems face challenges in detecting electrolyte leakage, which can lead to performance degradation and safety issues due to the difficulty in distinguishing electrolyte leakage from other gas releases, as it may not occur at a distinct point in time and lacks a baseline for detection.
Innovation Solution
A monitoring system utilizing gas sensors and a controller to monitor gas analytes and variables, determining correlations to detect electrolyte leaks without the need for a separate reference sensor, employing machine learning algorithms for real-time classification and differentiation of gas species, and modulating sensor operational variables to differentiate between true and false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional gas sensors are used to monitor battery systems, then gas detection capability is provided, but the ability to distinguish electrolyte leakage from other gas releases is insufficient
Solution Approach 1:
The patent segments the gas detection task by using multiple gas sensors, each tuned to detect specific gas species (electrolyte vapors, coolant vapors, other gases). This segmentation allows the system to differentiate between various gas sources without requiring a single complex sensor, thereby improving measurement precision while managing device complexity through modular sensor deployment
Solution Approach 2:
The system changes the operational parameters of the gas sensors by modulating their operating conditions and analyzing their responses across different parameters. This allows differentiation of gas species based on their unique parameter signatures, improving the ability to detect electrolyte leakage specifically without increasing hardware complexity
2Measurement precision
If a separate reference sensor is used to improve detection accuracy, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The gas sensors serve themselves by using their own responses to modulated operational variables as the basis for differentiation. The system analyzes how each sensor responds to changes in its operating conditions, allowing the sensors to self-differentiate between gas species without requiring external reference sensors. This eliminates the need for additional reference sensors while maintaining detection accuracy
Solution Approach 2:
The system implements feedback by continuously monitoring the responses of gas sensors to modulated operational variables and using this feedback information to differentiate gas species. The feedback loop allows the system to adaptively identify electrolyte leakage patterns without requiring separate reference sensors, thereby improving measurement precision without increasing device complexity
3Reliability
If electrolyte leakage detection is performed without modulation techniques, then system simplicity is maintained, but the ability to differentiate true leaks from false positives is reduced
Solution Approach 1:
The system employs periodic modulation of gas sensor operational variables at specific frequencies. By applying periodic actions and analyzing the periodic responses, the system can differentiate between true electrolyte leakage signals and false positives based on their distinct periodic signatures. This improves detection reliability while keeping the implementation relatively simple through the use of standard periodic modulation techniques
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
Enables accurate detection of electrolyte leaks, reducing the risk of performance degradation and safety issues by differentiating gas species and providing early warnings, eliminating the requirement for a separate reference sensor and allowing for real-time monitoring without adaptation once deployed.
Implementation Method 1
at least one gas sensor configured to monitor for a gas analyte associated with a battery system
Data Source
AI summary
A computer implemented method includes monitoring a gas analyte level associated with a battery system using a first gas sensor and monitoring at least one variable of the battery system. The method includes determining whether there exists a correlation between the monitored gas analyte level and the monitored at least one variable of the battery system. The method includes determining whether there is an electrolyte leak from the battery system based on the determination of the correlation.