电池分类设备和方法以及包括电池分类设备的电池组
By generating the differential curve of the battery and detecting the peak value, and setting classification conditions based on the number and voltage of these peak values, the problem of non-destructive identification of battery negative electrode materials in the prior art is solved. This enables accurate battery classification and identification of reusable batteries, reducing costs and environmental impact.
CN115698736BActive Publication Date: 2026-07-17LG ENERGY SOLUTION LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- LG ENERGY SOLUTION LTD
- Filing Date
- 2022-01-25
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Current technology cannot identify the type of negative electrode material without damaging the battery, which may damage the battery and incur significant costs and time when disassembling it.
Method used
By generating differential curves of battery capacity and voltage, detecting multiple peaks, and setting classification conditions based on the number of these peaks and differential voltages, batteries are classified into preset groups, achieving non-destructive classification.
Benefits of technology
It enables non-destructive classification based on the type of negative electrode material and the state of the battery, distinguishing between reusable and non-reusable batteries, reducing production costs and environmental pollution.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN115698736B_ABST
Abstract
根据本发明的一个实施方式的电池分类设备，该电池分类设备包括：曲线生成单元，其用于获取关于电池的容量和电压的电池信息，并且生成表示容量和基于容量和电压的微分电压的对应关系的微分曲线；以及控制单元，其用于从曲线生成单元获取微分曲线，检测所获得的微分曲线中的多个峰值，并且基于针对检测到的多个峰值的数量和与微分电压相关地预设的多个分类条件，将电池分类到预设的多个组中的任意一组中。
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