Battery Rack Degradation Simulation for Faster SOH Verification
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Solution Overview
Problem
Existing battery degradation prediction methods are time-consuming and lack accuracy due to the need for extensive actual measurements and alignment of acceleration factors, making it difficult to verify battery health over long lifespans.
Innovation Solution
A method and apparatus for simulating battery degradation by estimating state of health using relationships among internal resistance, current, and heat generation to predict degradation without actual battery aging, allowing for faster verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If actual measurement tests are conducted for the entire degradation period, then prediction accuracy is improved, but verification time increases significantly
Solution Approach 1:
The patent creates a simulated degraded battery pack by copying the electrical characteristics (internal resistance, heat generation) of an actually degraded battery without requiring actual aging. This allows obtaining degradation data quickly while maintaining prediction accuracy through characteristic parameter replication.
Solution Approach 2:
The patent changes the internal resistance parameter of a new battery pack to match that of a degraded battery pack, thereby simulating the degraded state. By adjusting parameters like internal resistance and heat generation characteristics, the system achieves rapid degradation simulation without time-consuming actual aging tests.
2Loss of time
If accelerated verification methods are used, then verification time is reduced, but prediction accuracy may be compromised due to alignment issues with acceleration factors
Solution Approach 1:
The patent replaces the mechanical/physical aging process with an electrical parameter adjustment system. Instead of subjecting batteries to harsh environmental conditions for accelerated aging, the system electrically simulates degradation by modifying internal resistance and heat generation parameters, achieving both speed and accuracy.
3Measurement precision
If numerous acceleration factors are aligned, then prediction accuracy is improved, but device complexity and ease of operation worsen
Solution Approach 1:
The patent extracts only the essential degradation characteristics (internal resistance and heat generation) from the complex set of acceleration factors. By focusing on these key parameters, the system simplifies the verification process while maintaining prediction accuracy, eliminating the need to align numerous acceleration factors.
4Measurement precision
If numerous acceleration factors are aligned, then prediction accuracy is improved, but ease of operation worsens
Solution Approach 1:
The system automatically calculates and adjusts the internal resistance and heat generation parameters based on input data, eliminating the need for manual alignment of acceleration factors. This self-service approach maintains prediction accuracy while significantly improving ease of operation.
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
This approach significantly reduces verification time by approximately 6 months while maintaining prediction accuracy, enabling efficient battery testing during development.
Implementation Method 1
implement a degraded battery simulation state using a relationship among an internal resistance of the battery, a current flowing through the battery, and an amount of heat generated in a degraded battery pack
Data Source
AI summary
A method for testing a battery rack including at least one battery pack by estimating state of health may include implementing a degraded battery simulation state using a relationship among internal resistance of the battery, current flowing through the battery, and amount of heat generated and performing a degradation prediction test in the degraded battery simulation state.


