Reusable Battery Evaluation Models for Usage-Specific Reliability
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Solution Overview
Problem
Current evaluation methods for recycled batteries lack reliability due to standardization without considering specific usage requirements, leading to inconsistent quality assessment.
Innovation Solution
An evaluation method and apparatus that considers the use environment and requirements of recycled batteries by obtaining SOH, SOB, and SOP information, and applying these parameters to evaluation models tailored to specific uses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a standardized evaluation method is used for recycled batteries, then evaluation process is simplified and can be applied universally, but evaluation results have low reliability because they do not consider specific usage requirements
Solution Approach 1:
The patent divides the evaluation process into two segments: a standardized data collection phase (SOH, SOB, SOP parameters) and a customized evaluation phase using multiple usage-specific models. This allows the evaluation system to maintain standardized procedures while producing customized, reliable results for different application scenarios such as ESS, UPS, and solar power generation.
Solution Approach 2:
The patent changes evaluation parameters dynamically based on usage requirements. Different evaluation models are selected and applied based on the specific application field, allowing the same battery to receive different evaluation treatments. This enables the system to maintain standardized data collection while adapting evaluation criteria to specific usage contexts, thereby improving result reliability.
2Device complexity
If a single evaluation model is used for all recycled batteries, then evaluation complexity is reduced, but evaluation accuracy for specific applications deteriorates
Solution Approach 1:
The patent creates a universal evaluation system that can perform multiple functions by integrating several usage-specific evaluation models (first evaluation model for general assessment, second evaluation model for ESS applications, third evaluation model for other applications). This multi-functional approach allows the system to maintain low operational complexity while achieving high accuracy for different application scenarios.
Solution Approach 2:
The patent implements a dynamic evaluation model selection mechanism that adapts to different usage scenarios. The system dynamically selects which evaluation model to apply based on the specific application field, transitioning from a static single-model approach to a dynamic multi-model system. This maintains simplicity in operation while improving precision through context-appropriate evaluation.
3Loss of time
If recycled batteries are evaluated without considering usage environment, then evaluation time is reduced, but the usefulness of evaluation results for specific applications decreases
Solution Approach 1:
The patent performs preliminary data collection of battery parameters (SOH, SOB, SOP) using standardized procedures that can be quickly executed. This preliminary action prepares the data in advance, allowing subsequent usage-specific evaluation to proceed efficiently. The pre-collected data serves as a foundation for rapid, application-specific assessment, reducing overall evaluation time while maintaining adaptability.
Solution Approach 2:
The patent introduces standardized battery parameters (SOH, SOB, SOP) as intermediaries between the battery and usage-specific evaluation models. These intermediary parameters are quickly obtained through standardized measurement and then fed into different evaluation models based on application requirements. This intermediary layer enables rapid evaluation while preserving adaptability to different usage scenarios.
Data Source
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AI summary
An evaluation method and device according to the purposes of a reusable battery are disclosed. The disclosed method comprises the steps of: obtaining state of health (SOH) information, state of balance (SOB) information, and state of power (SOP) information of a reusable battery; extracting evaluation parameters from the SOH information, the SOB information, and the SOP information; substituting the evaluation parameters into each of a plurality of evaluation models which are set differently according to use purposes of the reused battery; and calculating an evaluation result corresponding to the use purposes of the reused battery from the evaluation parameters by using the plurality of evaluation models, wherein the SOB information includes information on a correlation between the SOC and the SOB according to a change in a state of charge (SOC) of the reusable battery.