Battery Model Parameter Optimization for Faster State Estimation

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Solution Overview

Problem

Existing battery management systems face challenges in accurately and efficiently optimizing battery models to predict state of charge and voltage, particularly due to the complexity of electrochemical models and the need for extensive computational resources.

Innovation Solution

A battery model optimization method and device that iteratively adjusts parameter boundaries and values using a multi-step optimization process, focusing on target parameters and diffusion characteristics, to enhance prediction accuracy and reduce computational load.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional battery management methods are used, then battery state estimation can be performed, but calculation time is increased and accuracy is reduced

Engineering Contradiction:

Improvebattery state estimation accuracyVSAvoidcalculation time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent segments the battery model optimization into multiple iterations, where each iteration focuses on optimizing specific parameters within reduced boundary conditions. This divides the complex optimization problem into manageable sub-problems, reducing overall calculation time while maintaining accuracy.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent performs preliminary optimization to determine initial optimized parameter values before conducting subsequent optimizations. This preliminary action establishes a foundation that reduces the search space for subsequent iterations, thereby reducing total calculation time while improving accuracy.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If comprehensive battery model optimization is performed, then estimation accuracy is improved, but device complexity increases

Engineering Contradiction:

Improvebattery state estimation accuracyVSAvoidoptimization process complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies local quality by optimizing parameters within reduced boundary conditions that are specific to different SOC and temperature intervals. Each interval receives tailored optimization focused on its local characteristics, improving accuracy without requiring a complete re-optimization of the entire model.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent changes parameters iteratively, determining optimized parameter values in successive iterations based on reduced boundary conditions. This approach simplifies the optimization process by focusing on parameter changes that are most relevant to current operating conditions rather than optimizing all parameters simultaneously.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If battery model parameters are optimized for different SOC and temperature intervals, then adaptation to varying conditions is improved, but the number of required parameters increases

Engineering Contradiction:

Improvebattery model adaptability to SOC and temperature variationsVSAvoidnumber of parameters

Core Design Contradiction:

Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The patent makes the boundary conditions dynamic by reducing them based on SOC and temperature intervals. The reduced boundary conditions adapt to current operating conditions, allowing the model to be versatile across different intervals without requiring a separate complete parameter set for each condition.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The optimized parameter values determined through the iterative process serve multiple functions across different SOC and temperature intervals. The same optimization framework and parameter determination method are universally applied throughout, reducing the need for interval-specific parameters while maintaining adaptability.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12618913B2Method and device with battery model optimization

Publication Date: 2026.05.05 SAMSUNG ELECTRONICS CO LTD

AI summary

A device with battery model optimization includes: a processor configured to perform optimization on a battery model for determining optimized parameter values of parameters of the battery model, wherein, to perform the optimization, the processor is configured to: select target parameters from among parameters of a battery model; set a current boundary condition for each of the target parameters; determine an optimized parameter value of each of the target parameters based on the set current boundary condition; set a subsequent boundary condition reduced from the current boundary condition based on the determined optimized parameter value; and determine a subsequent optimized parameter value of each of the target parameters based on the subsequent boundary condition.