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Data mining for quality prediction of battery in manufacturing process : Cathode coating process
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Faraji Niri, Mona, Liu, Kailong, Apachitei, Geanina, Roman Ramirez, Luis, Widanage, Widanalage Dhammika and Marco, James (2021) Data mining for quality prediction of battery in manufacturing process : Cathode coating process. In: International Conference on Applied Energy 2020, Bangkok, Thailand; Virtual, 1-10 Dec 2020. Published in: Proceedings of 12th International Conference on Applied Energy, 2020, 11 (3). ISBN 9789198673821.
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WRAP-data-mining-quality-prediction-battery-manufacturing process-Faraji-Niri-2020.pdf - Accepted Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (2162Kb) | Preview |
Official URL: http://www.energy-proceedings.org/data-mining-for-...
Abstract
A data mining approach is proposed for evaluating the effects of battery production factors in cathode coating stage on both battery capacity and internal resistance for the first time. Specifically, an effective neural network model is built based on real data form designed experiments for obtaining reference cathode coating for coin cells. The purpose is to analyze and predict how the battery quality in both charge and discharge scenarios changes with respect to the key factors of coating including its weight and thickness. The results highlight the correlation between mentioned factors and battery quality indices, which could guide manufacturer to identify efficient ways for producing high-quality batteries.
| Item Type: | Conference Item (Paper) | ||||||
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| Subjects: | H Social Sciences > HD Industries. Land use. Labor Q Science > QA Mathematics Q Science > QD Chemistry T Technology > TS Manufactures T Technology > TT Handicrafts Arts and crafts |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
| Library of Congress Subject Headings (LCSH): | Battery industry, Batteries (Ordnance), Data mining, Manufacturing processes, Cathodes, Modeling | ||||||
| Journal or Publication Title: | Proceedings of 12th International Conference on Applied Energy, 2020 | ||||||
| ISBN: | 9789198673821 | ||||||
| Official Date: | 22 June 2021 | ||||||
| Dates: |
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| Volume: | 11 | ||||||
| Number: | 3 | ||||||
| Article Number: | 235 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||
| Copyright Holders: | copyright © 2020 ICAE | ||||||
| Date of first compliant deposit: | 7 December 2020 | ||||||
| Date of first compliant Open Access: | 10 March 2021 | ||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | ||||||
| Title of Event: | International Conference on Applied Energy 2020 | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Bangkok, Thailand; Virtual | ||||||
| Date(s) of Event: | 1-10 Dec 2020 | ||||||
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