Cloud Battery Health Classification for Faster Recycled Cell Sorting

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Solution Overview

Problem

Conventional battery inspection and management methods are time-consuming and resource-intensive, limiting the ability to quickly classify batteries or accurately assess their health status, especially when handling large volumes of data.

Innovation Solution

A battery inspection and management system comprising an inspection device, a computing device, and a label printer, where the computing device uploads health inspection data to a cloud database and determines a classification status based on preset health ranges, generating labels that link to the health inspection data for sorting and labeling of recycled batteries.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional inspection approaches are used, then comprehensive battery health assessment can be achieved, but the inspection process becomes time-consuming and resource-intensive

Engineering Contradiction:
Improvebattery health assessment accuracyVSAvoidinspection time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The battery inspection process is divided into multiple inspection time points (first time point, second time point, etc.), allowing the comprehensive health assessment to be conducted in staged intervals rather than requiring all measurements to be completed simultaneously, thus reducing the perceived inspection time while maintaining assessment comprehensiveness

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary inspections at a first time point to generate initial health inspection data and classification status, then conducts follow-up inspections at a second time point to update the data. This preliminary action approach allows for early classification and resource allocation while completing comprehensive assessment over time

Inventive Principle:
Principle #10Preliminary action

2Quantity of substance

If conventional inspection approaches are used, then detailed health data can be collected, but the data analysis capability becomes limited when handling large volumes of data

Engineering Contradiction:
Improvehealth inspection data volumeVSAvoiddata analysis capability
Core Design Contradiction:
Quantity of substanceVSProductivity

Solution Approach 1:

A computing device serves as an intermediary between the inspection device and the cloud database, automatically processing and analyzing the health inspection data to determine classification status. This intermediary handles the computational burden of analyzing large volumes of data, enabling the system to collect extensive health data without being limited by manual data analysis capabilities

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces manual or conventional data analysis methods with automated computational processing and cloud-based data management. The computing device and cloud database system automatically handle large volumes of inspection data, substituting mechanical or human data analysis with automated digital processing to improve productivity

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If classification-based recycling is implemented, then recycling efficiency can be enhanced, but the system requires accurate and rapid battery classification capability

Engineering Contradiction:
Improverecycling efficiencyVSAvoidclassification accuracy
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system performs multiple inspections at different time points and updates the health inspection data in the cloud database. The classification status is determined based on accumulated data from multiple inspections, providing feedback that improves classification accuracy over time while maintaining rapid processing capability

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The computing device determines classification status based on health inspection data from the first time point, enabling preliminary classification that drives recycling efficiency. Subsequent inspections at the second time point refine this classification, ensuring accuracy while maintaining the productivity benefits of early classification

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250189595A1Battery inspection and management method and system
Publication Date: 2025.06.12 SMART APPROACH
  • US20250189595A1 patent drawing
  • US20250189595A1 patent drawing
  • US20250189595A1 patent drawing

AI summary

A battery inspection and management method includes inspecting a target battery at a first time point to generate health inspection data, uploading the health inspection data to a cloud database, determining a classification status of the target battery based on the health inspection data with a preset health range and generating a label for attachment on the target battery, and inspecting the target battery at a second time point later than the first time point to update the health inspection data of the target battery in the cloud database. A battery inspection and management system includes an inspection device, a computing device, and a label printer, wherein the computing device is connected to the inspection device and the label printer.