EV Battery Capacity Estimation Using Two-Stage Regression
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Solution Overview
Problem
Existing methods for estimating the full charge capacity of a battery after degradation are inaccurate, leading to inefficiencies in battery management and performance prediction.
Innovation Solution
A method involving two estimate equations, one with predetermined coefficients and one with undetermined coefficients, utilizes actual result data from multiple electric vehicles to optimize the undetermined coefficients through multiple regression analysis, incorporating battery variables such as non-use time and applied electricity, to accurately estimate the full charge capacity after degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to estimate full charge capacity after degradation, then the estimation process is simple, but the estimation accuracy is low
Solution Approach 1:
The patent segments the estimation process into two distinct equations: a first estimate equation with predetermined coefficients for initial estimation, and a second estimate equation with undetermined coefficients for refined estimation. This segmentation allows the system to balance computational simplicity with estimation accuracy by using different levels of complexity for different stages of the estimation process.
Solution Approach 2:
The patent changes the parameters of the estimation equations by introducing undetermined coefficients in the second estimate equation that can be optimized based on actual result data. This parameter adjustment enables the system to adapt to specific battery characteristics and improve estimation accuracy while maintaining a structured approach to the problem.
2Measurement precision
If a single estimate equation is used, then the method is simple to implement, but it cannot accurately account for various degradation factors
Solution Approach 1:
The patent divides the estimation system into two separate estimate equations rather than using a single equation. The first estimate equation handles initial predictions with predetermined coefficients, while the second estimate equation refines the estimation using undetermined coefficients that capture specific degradation patterns. This segmentation allows each equation to specialize in different aspects of battery degradation.
Solution Approach 2:
The patent introduces dynamic elements by allowing the coefficients in the second estimate equation to be undetermined and adjustable. This dynamic approach enables the estimation system to adapt to varying degradation conditions and battery states, improving accuracy by flexibly responding to different degradation scenarios rather than relying on fixed parameters.
3Productivity
If predetermined coefficients are used in the estimate equation, then the calculation is fast and simple, but the estimation does not adapt to specific battery conditions
Solution Approach 1:
The patent segments the coefficient structure into predetermined coefficients in the first estimate equation for rapid initial calculation, and undetermined coefficients in the second estimate equation for accurate condition-specific estimation. This segmentation allows the system to maintain calculation speed through the first equation while achieving adaptability and precision through the second equation.
Solution Approach 2:
The patent performs preliminary estimation using the first estimate equation with predetermined coefficients before applying the second estimate equation with undetermined coefficients. This preliminary action provides a quick initial result that can be refined later, maintaining overall calculation efficiency while improving final accuracy through the two-stage approach.
Data Source
AI summary
A method of generating an estimate equation for a full charge capacity of a battery of an electric vehicle after degradation is provided, the method may include the following processes. Preparing a first and a second estimate equations, the first estimate equation evaluates a first estimate value for the full charge capacity of the battery after degradation, the second estimate equation evaluates a second estimate value for the full charge capacity of the battery after degradation. The first estimate equation includes predetermined coefficients and first battery variables related to a condition of the battery, and the second estimate equation includes undetermined coefficients and second battery variables related to the condition of the battery. Collecting actual result data of the first and second battery variables from L electric vehicles. Specifying the undetermined coefficients using the collected actual data.