Battery State Estimation via Simplified Electrochemical Model
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Solution Overview
Problem
Existing battery state estimation methods, particularly electrochemical models, face challenges in accuracy and speed due to the large number of parameters required, leading to difficulties in parameter measurement and estimation, which affects the accuracy and efficiency of battery state estimation.
Innovation Solution
A processor-implemented method that simplifies the electrochemical model by parameter grouping and partial non-dimensionalising, using parameters such as diffusion time constants and charge transfer resistance, to estimate the battery state based on previous states and current usage environments, improving the accuracy and efficiency of battery state estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an electrochemical model with many parameters is used to estimate battery state, then the accuracy of battery state estimation is improved, but the complexity of parameter measurement and estimation increases
Solution Approach 1:
The patent extracts and removes unnecessary parameters from the electrochemical model while retaining only the essential parameters that significantly impact battery state estimation accuracy. This parameter reduction approach maintains measurement precision while eliminating the complexity associated with measuring and estimating a large number of parameters.
Solution Approach 2:
The patent applies local quality by focusing measurement and estimation efforts on specific critical parameters (such as diffusion time constants and charge transfer resistance) rather than attempting to measure all parameters uniformly. This selective approach improves efficiency while maintaining overall estimation accuracy.
2Measurement precision
If an electrochemical model with many parameters is used to estimate battery state, then the accuracy of battery state estimation is improved, but the speed of estimation is reduced
Solution Approach 1:
The patent extracts and removes unnecessary parameters from the electrochemical model while retaining only the essential parameters that significantly impact battery state estimation accuracy. This parameter reduction approach maintains measurement precision while eliminating the complexity associated with measuring and estimating a large number of parameters.
Solution Approach 2:
The patent changes the parameter set by identifying and retaining only the most influential parameters (such as diffusion time constants and charge transfer resistance) while eliminating less significant ones. This parameter transformation maintains estimation accuracy while significantly improving computational speed and efficiency.
3Productivity
If parameter grouping and partial non-dimensionalising are applied to simplify the electrochemical model, then the speed and accuracy of battery state estimation are improved, but the complexity of model formulation increases
Solution Approach 1:
The patent merges multiple parameters into grouped parameters (such as combining diffusion-related parameters into diffusion time constants) and applies partial non-dimensionalising to reduce the number of independent parameters. This merging approach simplifies the model by reducing parameter count while maintaining the essential electrochemical relationships, thereby improving estimation speed without excessive formulation complexity.
Data Source
AI summary
A method of estimating a battery state includes acquiring one or more parameters for estimating a present state of the battery based on a previous state of the battery; acquiring a present usage environment of the battery; and estimating the present state by applying any one or any combination of any two or more of the previous state, the present usage environment, and the acquired one or more parameters to an electrochemical model that is expressed by simplified parameters simplified by either one or both of parameter grouping and partial non-dimensionalising of an electrochemical reaction governing equation of the battery.