Battery SOH Estimation from OCV-Corrected Electrode Profiles
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Solution Overview
Problem
Conventional methods for diagnosing the state of a battery require low-rate charging and discharging, which are time-consuming and limit the use of the battery, making it difficult to accurately assess the State of Health (SOH) efficiently.
Innovation Solution
An apparatus and method that estimates SOH using Open Circuit Voltage (OCV) profiles, adjusting positive and negative electrode profiles to reflect current battery conditions, allowing for rapid SOH estimation without restrictive charging or discharging requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If low-rate charging and discharging is used to diagnose battery state, then measurement precision is improved, but loss of time increases significantly
Solution Approach 1:
The patent creates a virtual battery profile by copying and combining positive electrode profile and negative electrode profile data. This virtual profile replicates the characteristics of low-rate charging/discharging without actually performing time-consuming low-rate tests, thereby achieving accurate SOH estimation quickly.
Solution Approach 2:
The patent performs preliminary actions by pre-collecting and storing positive electrode profile and negative electrode profile data obtained from low-rate charging/discharging tests. These pre-collected profiles are then combined to create the virtual battery profile, eliminating the need to perform actual low-rate tests at the time of diagnosis.
2Measurement precision
If low-rate charging and discharging is performed, then battery state diagnosis accuracy is improved, but ease of operation deteriorates due to usage restrictions
Solution Approach 1:
The patent uses copying to create a virtual representation of battery characteristics from pre-collected electrode profiles. This allows accurate SOH estimation without requiring the battery to undergo restrictive low-rate charging/discharging cycles, maintaining operational flexibility while achieving diagnostic accuracy.
Solution Approach 2:
The patent introduces an intermediary approach by using combined electrode profiles as a mediator between the battery and the diagnosis system. Instead of directly testing the battery with restrictive low-rate protocols, the system uses pre-processed electrode profile data to infer battery state, eliminating usage restrictions.
3Measurement precision
If conventional battery profile methods are used, then measurement precision is improved, but device complexity increases due to additional charging/discharging requirements
Solution Approach 1:
The patent simplifies the system by copying and combining existing electrode profile data to create a virtual battery profile. This approach eliminates the need for complex charging/discharging control systems required by conventional methods, reducing device complexity while maintaining measurement precision.
Solution Approach 2:
The patent extracts the essential diagnostic information from pre-collected electrode profiles without requiring the complex infrastructure of active charging/discharging systems. By taking out only the necessary profile data and combining it virtually, the system reduces complexity while preserving accuracy.
Data Source
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AI summary
An apparatus for estimating a SOH according to one aspect of the present disclosure may include a profile obtaining unit configured to obtain an OCV profile for a plurality of OCVs of a battery measured at different time points; a profile correcting unit configured to generate an adjusted positive electrode profile and an adjusted negative electrode profile by adjusting a preset criterion positive electrode profile and a preset criterion negative electrode profile to correspond to the OCV profile; and a control unit configured to extract at least one of a diagnosis factor related to the positive electrode participation finalizing point for the battery from the adjusted positive electrode profile and a diagnosis factor related to the positive electrode change rate for the battery from the criterion positive electrode profile and the adjusted positive electrode profile, and estimate a positive electrode SOH of the battery based on the extracted diagnosis factor.