Lead-Acid Battery Deterioration Estimation Using Multi-Factor History
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Solution Overview
Problem
Existing methods fail to accurately estimate the overall deterioration of lead-acid batteries by considering the combined effects of softening of the positive electrode material, corrosion of the positive electrode grid, negative electrode sulfation, and shrinkage of the negative electrode material, which are critical factors in determining the battery's health and lifespan.
Innovation Solution
A device and method that derive a history based on current, voltage, and temperature to specify the degrees of these deterioration factors using relationships and learning models, allowing for a comprehensive estimation of the battery's deterioration state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple deterioration factors are considered simultaneously, then the accuracy of deterioration estimation is improved, but the complexity of the estimation system increases
Solution Approach 1:
The patent segments the deterioration estimation problem into four distinct deterioration factors (positive electrode material softening, positive electrode grid corrosion, negative electrode sulfation, and negative electrode material shrinkage). Each factor is estimated separately using dedicated relationships between use history parameters and deterioration degrees, allowing the complex multi-factor estimation to be broken down into manageable individual estimations that can be processed independently and then combined for overall deterioration assessment.
2Reliability
If use history data is collected and analyzed, then the reliability of deterioration prediction is improved, but the time required for estimation increases
Solution Approach 1:
The patent performs preliminary actions by continuously collecting and storing use history data (current, voltage, temperature) during battery operation, and pre-establishing the relationships between use history parameters and deterioration degrees for each deterioration factor. This allows the estimation system to have prediction capabilities built in advance, so when estimation is needed, the system can quickly retrieve and process the pre-collected data and pre-established relationships without requiring time-consuming real-time analysis or additional measurements.
Data Source
AI summary
An estimation device includes: a deriving unit (31) that derives a derivation history based on a current and a voltage of a lead-acid battery and a temperature of the lead-acid battery; a specifying unit 31 that specifies at least two degrees of a first degree of softening of a positive electrode material, a second degree of corrosion of a positive electrode grid, a third degree of negative electrode sulfation, and a fourth degree of shrinkage of a negative electrode material based on the derived derivation history and at least two relationships selected from the group consisting of: a first relationship between a first history based on the current, the voltage, and the temperature of the lead-acid battery, and the first degree; a second relationship between a second history and the second degree; a third relationship between a third history and the third degree; and a fourth relationship between a fourth history and the fourth degree; and an estimating unit (31) that estimates a degree of deterioration of the lead-acid battery based on the specified at least two degrees.