Remanufacturing Server for Battery Degradation Assessment

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Solution Overview

Problem

The challenge lies in efficiently analyzing and grouping lithium-ion batteries from vehicles for reuse as stationary storage batteries, as their degradation states vary significantly due to different operating conditions, making it necessary to assess their performance and select suitable batteries for remanufacturing.

Innovation Solution

A system comprising a remanufacturing support server, a battery collecting support server, and a battery database management server, which acquire specification data, diagnose battery degradation, and create remanufacturing plans to determine the quality and quantity of usable batteries, and provide collection conditions to owners, facilitating the reuse of secondary batteries as stationary storage batteries.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If secondary batteries are collected from vehicles for reuse as stationary storage batteries, then resource utilization is improved, but the degradation states vary significantly due to different operating conditions making selection and grouping complex

Engineering Contradiction:
Improvereuse of secondary batteriesVSAvoidcomplexity of selection and grouping
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the battery selection and grouping process into distinct functional modules: a diagnosis unit that assesses individual battery degradation states, a determination unit that evaluates suitability for stationary storage based on diagnosed data, and a grouping unit that assembles batteries into packages. This segmentation transforms the complex overall task into manageable, automated sub-tasks that can be processed systematically.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The control device acts as an intermediary between the collected secondary batteries and the stationary storage battery assembly process. It receives diagnosis data from individual batteries, determines suitability based on predetermined criteria, and facilitates the grouping process. This intermediary function automates the selection and grouping operations, reducing manual complexity while enabling efficient resource utilization.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If individual analysis of each secondary battery is performed to assess degradation state, then selection accuracy is improved, but the time and resources required for analysis increase

Engineering Contradiction:
Improveaccuracy of degradation state assessmentVSAvoidtime required for battery analysis
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The diagnosis unit enables secondary batteries to self-assess their own degradation states through automated diagnosis based on usage history and performance data. Each battery's degradation state is determined independently without requiring manual intervention or complex external testing, thus achieving accurate assessment while minimizing time and resource requirements.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary diagnosis and degradation state assessment of secondary batteries before they are assembled into stationary storage packages. By conducting this analysis in advance and determining suitability beforehand, the system avoids time-consuming on-site evaluation and ensures accurate selection without delaying the overall remanufacturing process.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If secondary batteries are grouped and assembled into stationary storage batteries, then productivity is improved, but ensuring consistent performance across different degradation states becomes difficult

Engineering Contradiction:
Improveefficiency of battery assemblyVSAvoidperformance consistency of battery packages
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent applies local quality by allowing different secondary batteries with varying degradation states to be assigned to different roles within the stationary storage battery package. Rather than requiring all batteries to have identical characteristics, the system determines suitability based on specific degradation criteria and assembles packages that accommodate the actual condition of each battery, ensuring reliable performance while maintaining productivity.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The determination unit evaluates whether secondary batteries meet predetermined degradation state criteria for stationary storage use. By establishing and applying specific parameter thresholds for degradation, the system objectively determines which batteries are suitable for assembly, ensuring that only batteries within acceptable performance parameters are grouped together, thus maintaining reliability while enabling efficient assembly operations.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11488087B2Remanufacturing support server, battery collecting support server, battery database management server, vendor computer, and user computer
Publication Date: 2022.11.01 KK TOSHIBA
  • US11488087B2 patent drawing
  • US11488087B2 patent drawing
  • US11488087B2 patent drawing

AI summary

According to one embodiment, a remanufacturing support server includes processor. The processor is configured to: acquire specification data representing required performance of a battery product; set an allowable range of a degradation state of a secondary battery to be used in the battery product; acquire diagnostic data indicating a diagnostic result of a degradation state of a secondary battery mounted on a vehicle, the diagnostic result of the degradation state of the secondary battery falling within the allowable range as the battery product; and provide an outside with a remanufacturing plan relating to the battery product based on the diagnostic data.