Battery OCV Estimation Using OCP Curve Parameter Optimization
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Solution Overview
Problem
Existing methods for estimating lithium ion battery degradation require excessive calculation loads due to differentiation processing for optimizing parameters, leading to inefficiencies.
Innovation Solution
A battery characteristic estimation method that reduces calculation load by using parameter groups to convert reference OCP curves into actual OCP curves, optimizing these groups to minimize error between estimated and time-series data without differentiation, and employing data filtering to focus on stable voltage changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If differentiation processing is used to optimize parameters for OCV curve estimation, then measurement precision is improved, but calculation load increases excessively
Solution Approach 1:
The patent extracts and eliminates the differentiation processing step from the parameter optimization process. Instead of using differentiation to optimize parameters, the invention directly optimizes parameters by comparing estimated OCV curves with measured OCV data, removing the computationally intensive differentiation operation while maintaining estimation accuracy
Solution Approach 2:
The patent replaces the mathematical differentiation operation with a direct optimization approach that uses error minimization between estimated and measured OCV curves. This substitution eliminates the need for complex calculus operations while achieving the same goal of parameter optimization
Data Source
AI summary
A battery characteristic estimation device including a storage medium that stores computer-readable instructions, and a processor coupled to the storage medium, the processor executing the computer-readable instructions to: acquire time-series data of at least a voltage and current of a secondary battery having a positive electrode containing a positive electrode active material and a negative electrode containing a negative electrode active material; store a reference positive electrode OCP curve, and a reference negative electrode OCP curve; convert the reference positive electrode OCP curve into a positive electrode OCP curve in accordance with a first parameter group, convert the reference negative electrode OCP curve into a negative electrode OCP curve in accordance with a second parameter group, and estimate an OCV curve on the basis of a difference between the positive electrode OCP curve and the negative electrode OCP curve; and optimize the first parameter group and the second parameter group.