Battery Cell Detection Using Sensor Data and Standardized Criteria
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Solution Overview
Problem
Current methods for detecting battery cell quality before shipment are inefficient and prone to varying detection criteria among visual inspection personnel, leading to safety hazards and resource wastage due to inconsistent judgments and the need for manual inspection.
Innovation Solution
A cell detection method and system that uses sensors to obtain target detection data and compares it with standard data to determine the detection result, including calculating distances and durations to identify abnormalities such as spike, separator, or tab issues, and adjusts sensor locations for improved accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual visual inspection is used to detect battery cell quality, then detection can be performed with simple equipment, but detection efficiency is low and detection criteria vary between personnel
Solution Approach 1:
The patent replaces manual visual inspection with an automated detection system using sensors (such as laser sensors or cameras) to capture images or distance data of battery cells. The system uses processing units to analyze the captured data and automatically determine cell quality, eliminating the need for manual inspection while improving efficiency and consistency.
Solution Approach 2:
The detection system is designed to autonomously perform detection tasks without human intervention. The processing unit automatically analyzes sensor data, compares it against predefined standards, and generates detection results. The system can also automatically adjust detection parameters and identify abnormal cells, making the entire detection process self-service oriented.
2Reliability
If manual visual inspection is used, then detection equipment remains simple, but detection criteria vary leading to inconsistent results
Solution Approach 1:
The patent replaces subjective human judgment with objective automated analysis. Sensors capture precise measurements of battery cell characteristics, and processing units apply consistent algorithms to evaluate these measurements against standardized criteria, ensuring uniform detection results across all cells regardless of who operates the system.
Solution Approach 2:
The system transforms qualitative visual assessment into quantitative measurements by using sensors to capture specific parameters (distance, image pixel values, etc.). These measurable parameters are then objectively compared against predefined thresholds and standards, converting subjective detection criteria into objective, consistent evaluation metrics.
3Productivity
If automated sensor-based detection is implemented, then detection efficiency and consistency improve, but device complexity increases
Solution Approach 1:
The detection system is divided into distinct functional modules: sensor modules for data capture, processing units for analysis, and control units for coordination. This segmentation allows each component to perform its specific function efficiently while maintaining overall system manageability and reducing the complexity burden of automation.
Data Source
AI summary
This application provides a cell detection method, device and system as well as a processor and a controller. The cell detection method may include: obtaining target detection data of a target cell; and determining a detection result of the target cell based on the target detection data and standard data. The cell detection method improves the detection efficiency and detection effect of the cells.