Battery Degradation Estimation with Data Validity Index
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Solution Overview
Problem
Conventional methods for estimating the degradation state of secondary batteries in electric vehicles often result in low accuracy, leading to incorrect information being provided to drivers.
Innovation Solution
A diagnostic device and system that includes an estimation unit for battery degradation, a derivation unit for index value calculation, and a notification unit to inform drivers of accuracy issues, with additional features for abnormality detection and capacity learning operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to estimate battery degradation, then the estimation process is simple, but the accuracy of the degradation state estimation is low
Solution Approach 1:
The patent segments the battery degradation estimation process into multiple independent components: data acquisition module, data validation module (with index calculation), estimation module, and notification module. Each module performs a specific function, allowing the system to achieve high accuracy through comprehensive data processing while maintaining clear modular structure that manages complexity.
Solution Approach 2:
The patent introduces an intermediary index value that mediates between raw battery data and degradation estimation. This index serves as a validation layer that assesses data quality before estimation, ensuring that only valid data contributes to the accuracy of degradation state estimation without requiring complete system redesign.
2Reliability
If comprehensive data validation is implemented, then the accuracy of estimation is improved, but the complexity of the diagnostic system increases
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors data validity through index calculation and provides feedback to both the estimation process and the user. When data validity is insufficient, the system notifies users to supplement data, creating a closed-loop feedback system that improves reliability without requiring overly complex validation logic.
Solution Approach 2:
The system performs self-validation through automated index calculation and data quality assessment. The diagnostic device automatically evaluates its own data sufficiency and guides users on what additional data is needed, reducing the need for complex external validation mechanisms while maintaining high reliability.
3Loss of information
If the system notifies users of accuracy issues, then incorrect information is prevented, but additional notification mechanisms are required
Solution Approach 1:
The patent extracts the notification function as a separate, independent module that operates based on validation results. This extraction allows the core estimation and validation logic to remain focused on accuracy while the notification system handles user communication separately, preventing incorrect information from being presented without significantly increasing overall system complexity.
Data Source
AI summary
To prevent incorrect information from being given to a driver regarding the estimation of a degradation state of a secondary battery. A diagnostic device (100) for diagnosing a battery (40) provided in an electric vehicle (10), includes an estimation unit (301) that estimates a degradation state of the battery (40); a derivation unit (302) that derives an index value indicating validity of data used for the estimation of the degradation state; and a notification unit (303) that notifies, when accuracy of an estimated value is determined to be low based on the index value, a cause of a decrease in the accuracy of the estimated value.


