Adaptive Filter Battery Cell Short Circuit Detection
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Solution Overview
Problem
Conventional methods for detecting internal short circuits in battery cells are inaccurate and costly, requiring extensive data collection and experimental correlations that are not scalable or adaptable to changing battery conditions.
Innovation Solution
A method using adaptive filters to calculate G and H parameters from real-time voltage and current measurements, allowing for rapid and accurate detection of internal short circuits in battery cells by determining sensitivity and effective potential, which can be integrated into a battery management system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional experimental correlation methods are used to estimate battery internal states, then measurement accuracy may be improved under specific conditions, but device complexity and data collection requirements increase significantly
Solution Approach 1:
The patent extracts the essential characteristics of battery internal states by defining equivalent parameters (G parameter representing sensitivity and H parameter representing effective potential) that can be directly calculated from measurable voltage and current values, eliminating the need for complex experimental correlation tables and extensive data collection systems
Solution Approach 2:
The patent introduces equivalent parameters G and H as intermediary variables that bridge the relationship between measurable external quantities (voltage and current) and internal battery states, allowing accurate estimation without direct measurement of internal properties or extensive experimental data
2Measurement precision
If more data is collected to improve internal state estimation accuracy, then measurement precision improves, but loss of time and monetary costs increase
Solution Approach 1:
The patent enables the battery management system to self-determine internal states by calculating equivalent parameters G and H from real-time voltage and current measurements, eliminating the need for external experimental data collection and making the system self-sufficient for accurate state estimation
3Ease of operation
If conventional estimation methods are used, then implementation simplicity may be maintained, but reliability decreases due to sensor errors and estimation errors accumulation
Solution Approach 1:
The patent implements a feedback mechanism by continuously updating equivalent parameters G and H based on real-time voltage and current measurements, allowing the system to adapt to changing battery conditions and correct estimation errors, thereby improving reliability while maintaining implementation simplicity
Solution Approach 2:
The patent changes the approach from using fixed experimental correlation tables to dynamically calculating equivalent parameters G and H that adapt to real-time battery conditions, improving reliability by accounting for sensor errors and estimation errors through continuous parameter updates
4Measurement precision
If extensive experimental data is collected to improve accuracy, then measurement precision improves, but productivity decreases due to increased time and cost
Solution Approach 1:
The patent performs preliminary action by defining the mathematical relationships for equivalent parameters G and H in advance, allowing real-time calculation from voltage and current measurements without needing to collect or process extensive experimental data during operation, thus improving both accuracy and detection speed
Data Source
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AI summary
An internal short-circuit cell detection method according to various embodiments includes detecting a voltage and current of each of a plurality of battery cells that are electrically connected to one another between first and second terminals and are being used, to periodically generate a voltage value and a current value of each of the plurality of battery cells, updating in real time a G parameter value and an H parameter value obtained by digitizing a G parameter and an H parameter indicating a present state of each of the plurality of battery cells from the voltage value and the current value of each of the plurality of battery cells, by using an adaptive filter, calculating a G parameter representative value representing the G parameter values of the plurality of battery cells, and calculating an H parameter representative value representing the H parameter values of the plurality of battery cells, and determining whether a short circuit occurs in each of the plurality of battery cells, based on the G parameter value and the H parameter value of each of the plurality of battery cells, the G parameter representative value, and the H parameter representative value. The G parameter is a parameter indicating a sensitivity of a voltage to a change in current of each of the plurality of battery cells, and the H parameter is a parameter indicating an effective potential determined by a local equilibrium potential distribution and a resistance distribution in each of the plurality of battery cells.