Battery sorting method based on charging and discharging curve and fuzzy clustering
A charge-discharge curve, fuzzy clustering technology, applied in the field of sorting process, can solve the problems of low open circuit voltage, obvious difference in electrical performance, battery pack failure, etc., to achieve a large number of cycles, and suppress the decline in the cycle life decay rate. Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment
[0033] 1000 battery samples of the same batch are taken as samples 1-1000, and 900 batteries are randomly selected as samples 1-900, and sorting experiments are carried out on them. The remaining 100 batteries were used as samples 910-1000 and as the experimental control group. The batteries on the production line were sorted by multi-parameter OCV and internal resistance. Another 100 batteries of the same batch without any sorting were taken as blank controls.
[0034] In this embodiment, the charging and discharging curve of the single battery is sampled every 30 seconds. The eigenvector of the characteristics of a single lithium-ion battery is the sampling data of a complete cycle. The eigenvectors of all batteries in the experiment are the battery sample set matrix.
[0035] FCM clustering algorithm implementation and result analysis: The FCM clustering algorithm needs to set the parameter cluster number C, which is generally determined by observing the data rules and pr...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com