Battery Internal Stress Estimation From Strain Data

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Solution Overview

Problem

Current battery technologies lack a method to effectively estimate and monitor internal stress in energy storage devices, which affects their performance and characteristics such as internal resistance and reaction product precipitation, despite the expansion of electrodes during charging and discharging.

Innovation Solution

An estimation device and method that acquires strain data from energy storage devices using sensors and estimates internal stress through a simulation model, considering inherent strain, binding force, and electrochemical phenomena, allowing for the calculation of stress and strain distribution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If electrode materials are designed to achieve high capacity and high energy density, then battery performance is improved, but internal stress and volume expansion increase causing reliability degradation

Engineering Contradiction:
Improvebattery reliabilityVSAvoidinternal stress
Core Design Contradiction:
ReliabilityVSStress or pressure

Solution Approach 1:

The patent applies preliminary action by estimating internal stress before it causes critical damage to the battery. The stress estimation device continuously monitors and predicts internal stress levels, enabling preventive maintenance and performance optimization before reliability degradation occurs. This proactive approach allows for timely intervention to prevent dendrite formation, electrode delamination, and other stress-related failures.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If internal stress monitoring is implemented to improve battery management, then reliability is enhanced, but device complexity increases due to additional sensors and simulation models

Engineering Contradiction:
Improvebattery management reliabilityVSAvoidmonitoring system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent uses strain sensors as intermediary devices that indirectly measure internal stress through strain detection. Instead of directly measuring stress, which would require complex embedded sensors within the battery, the system uses strain sensors on the battery housing to detect deformation caused by internal stress. This intermediary approach simplifies the monitoring system while maintaining accurate stress estimation through the simulation model that correlates strain data with internal stress levels.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If strain data is acquired and simulation models are used to estimate internal stress, then measurement precision is improved, but loss of time increases due to computational processing

Engineering Contradiction:
Improveinternal stress measurement precisionVSAvoidcomputational processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies partial action by using a simplified simulation model that focuses only on the essential relationship between strain and internal stress, rather than performing a complete multi-physics simulation. The model uses predetermined parameters and simplified assumptions to estimate internal stress from strain data with sufficient accuracy for monitoring purposes, significantly reducing computational time while maintaining adequate measurement precision for battery management applications.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20240176929A1Estimation device, estimation method, and computer program
Publication Date: 2024.05.30 GS YUASA INT LTD
  • US20240176929A1 patent drawing
  • US20240176929A1 patent drawing
  • US20240176929A1 patent drawing

AI summary

Provided are an estimation device, an estimation method, and a computer program.An estimation device includes: an acquisition unit configured to acquire data relating to a strain generated in an energy storage device; and an estimation unit configured to estimate an internal stress in the energy storage device based on the data acquired by the acquisition unit using a simulation model that expresses a dynamic state inside the energy storage device.