Battery SOH Grading Platform for Residual Value Assessment
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Solution Overview
Problem
Current systems lack a reliable method for evaluating the residual value of electric vehicle batteries uniformly and managing their State Of Health (SOH) throughout their entire use cycle, which affects their reuse and recycling, leading to inefficiencies in resource recovery and pricing.
Innovation Solution
A platform service system that integrates SOH management, reuse grade determination, and residual value evaluation, using predefined reuse grade information and data management modules to track battery characteristics, calculate SOH, and determine reuse grades and residual values, enabling continuous management and accurate valuation of batteries throughout their lifecycle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If battery performance evaluation is conducted using traditional methods, then the evaluation process is simple, but the reliability and uniformity of residual value assessment is insufficient
Solution Approach 1:
The patent segments the battery lifecycle into distinct phases (new battery, used battery, retired battery) and implements separate management modules for each phase. The evaluation system is divided into SOH management module, reuse grade management module, and residual value management module, each handling specific aspects of battery assessment. This segmentation enables comprehensive and reliable evaluation while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The platform service system is designed as a universal multi-functional system that handles multiple battery evaluation tasks including SOH calculation, reuse grade determination, residual value assessment, and transaction pricing. The system serves multiple stakeholders (battery manufacturers, electric vehicle manufacturers, transaction platforms, insurance companies) through a single integrated platform, improving reliability through standardized universal assessment methods.
2Measurement precision
If comprehensive battery data is collected throughout the lifecycle, then the accuracy of SOH calculation is improved, but the data management complexity increases
Solution Approach 1:
The data management system is segmented into distinct functional modules: data collection module that gathers battery data throughout lifecycle, SOH management module that processes collected data, and various management DBs that store different types of information. This modular segmentation enables accurate SOH calculation through comprehensive data collection while managing complexity through organized module-based architecture.
Solution Approach 2:
The system implements continuous feedback loops where battery performance data is collected during operation, fed into the SOH management module for real-time SOH calculation, and the results are used to update the reuse grade and residual value assessments. This feedback mechanism ensures high measurement precision through continuous monitoring while automating the data management process to control complexity.
3Productivity
If standardized reuse grades are implemented, then the efficiency of battery reuse matching is improved, but the system complexity for grade determination increases
Solution Approach 1:
The reuse grade management is segmented into standardized grade categories (first grade, second grade, third grade, fourth grade) with clear criteria for each. The reuse grade management module automatically determines the appropriate grade based on SOH values and battery characteristics, then matches batteries with suitable application scenarios. This segmentation improves matching efficiency while keeping the determination logic organized and manageable.
Solution Approach 2:
The system uses SOH (State of Health) as a key parameter that changes with battery aging to automatically determine reuse grades. By establishing clear parameter thresholds and relationships between SOH values and grade categories, the system achieves efficient standardized grading. The parameter-based approach simplifies the determination process despite the complexity of multiple grading criteria.
4Measurement precision
If residual value is evaluated based on multiple factors, then the accuracy of transaction pricing is improved, but the evaluation time increases
Solution Approach 1:
The system performs preliminary actions by continuously calculating and storing SOH values, reuse grades, and residual value estimates throughout the battery lifecycle before actual transactions occur. The residual value management module maintains up-to-date assessment data ready for immediate retrieval during transactions. This preliminary preparation ensures accurate multi-factor pricing while minimizing evaluation time at the point of transaction.
Solution Approach 2:
The system implements continuous feedback loops that automatically update residual value assessments based on changing battery conditions, usage history, and market factors. This automated feedback mechanism enables accurate multi-factor evaluation without manual intervention, reducing evaluation time while maintaining high precision through real-time data processing and algorithmic calculations.
Data Source
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AI summary
Disclosed is a platform service system and method for integrated battery management. The platform service system collects battery characteristic data of an electric vehicle through a network and accumulatively store the same to be matched with a battery identification code, calculates a current SOH of a battery by analyzing the battery characteristic data and store the same in a SOH history DB to be matched with the battery identification code, inquires the SOH history DB using the battery identification code to determine a current SOH when a reuse grade calculation request is received from a client along with the battery identification code, determines a reuse grade corresponding to the current SOH with reference to predefined reuse grade information for each SOH, and transmits the reuse grade to the client.