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Digitalization Platform for Sustainable Battery Cell Production: Coupling of Process, Production, and Product Models
Lithium‐ion batteries are used in a wide range of applications, with the electromobility sector being the main contributor to the increasing demand predicted for the next decade. Although batteries play an important role in decarbonizing the transportation sector, their production includes energy‐in...
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| Published in: | Energy technology (Weinheim, Germany) Germany), 2023-05, Vol.11 (5), p.n/a |
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| creator | Ventura Silva, Gabriela Thomitzek, Matthias Lippke, Mark Heckmann, Thilo Karaki, Hassan Lischka, Clemens Möhlen, Felix Mayer, Dominik Hagemeister, Jan Daub, Rüdiger Fleischer, Jürgen Nirschl, Hermann Schröder, Daniel Scharfer, Philip Schabel, Wilhelm Kwade, Arno Herrmann, Christoph |
| description | Lithium‐ion batteries are used in a wide range of applications, with the electromobility sector being the main contributor to the increasing demand predicted for the next decade. Although batteries play an important role in decarbonizing the transportation sector, their production includes energy‐intensive processes that hinder a more sustainable production. Moreover, the production processes are characterized by a manifold of parameters leading to complex cause–effect relations along the process chain which influences the battery cell quality. Therefore, a sustainable future for battery production and the electromobility sector depends on the environmentally and economically efficient production of high‐performance batteries. Against this background, this work presents a digitalization platform based on the coupling of mechanistic models to digitally reproduce the battery cell production and provide a deeper understanding of the interdependencies on the process, production, and product levels. In addition to a description of the individual models contained in the platform, this work demonstrates their coupling on a use case to study the effects of different solids contents of the coating suspension. Besides providing a multilevel assessment of the parameter interdependencies, considering quality, environmental and economic aspects, the presented framework contributes to knowledge‐based decision support and improvement of production and battery cell performance.
The digitalization platform represents a valuable tool for comprehensive decision‐making under consideration of cause–effect relations. The complexity of the results highlights the importance of multilevel analysis to deeply understand the mechanisms behind the parameter variations. This is critical for planning and improving battery cell production, as it helps to increase battery cell performance and support more environmentally sustainable production. |
| doi_str_mv | 10.1002/ente.202200801 |
| format | article |
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The digitalization platform represents a valuable tool for comprehensive decision‐making under consideration of cause–effect relations. The complexity of the results highlights the importance of multilevel analysis to deeply understand the mechanisms behind the parameter variations. This is critical for planning and improving battery cell production, as it helps to increase battery cell performance and support more environmentally sustainable production.</description><identifier>ISSN: 2194-4288</identifier><identifier>EISSN: 2194-4296</identifier><identifier>DOI: 10.1002/ente.202200801</identifier><language>eng</language><publisher>Weinheim: Wiley Subscription Services, Inc</publisher><subject>battery cell simulations ; Coupling ; Decarbonization ; Digital technology ; Digitization ; Electromobility ; energy efficiency ; Lithium ; Lithium-ion batteries ; Mathematical models ; Parameters ; process modeling ; Product models ; simulations ; Sustainability ; Sustainable production ; Transportation industry</subject><ispartof>Energy technology (Weinheim, Germany), 2023-05, Vol.11 (5), p.n/a</ispartof><rights>2022 The Authors. Energy Technology published by Wiley‐VCH GmbH</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2871-799bff06eaefd08aacd344c5c76a3b6736e3bb6d034fcdf8bdd483d24fa5d5213</citedby><cites>FETCH-LOGICAL-c2871-799bff06eaefd08aacd344c5c76a3b6736e3bb6d034fcdf8bdd483d24fa5d5213</cites><orcidid>0000-0002-9655-9874</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fente.202200801$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fente.202200801$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>315,786,790,27957,27958,50923,51032</link.rule.ids></links><search><creatorcontrib>Ventura Silva, Gabriela</creatorcontrib><creatorcontrib>Thomitzek, Matthias</creatorcontrib><creatorcontrib>Lippke, Mark</creatorcontrib><creatorcontrib>Heckmann, Thilo</creatorcontrib><creatorcontrib>Karaki, Hassan</creatorcontrib><creatorcontrib>Lischka, Clemens</creatorcontrib><creatorcontrib>Möhlen, Felix</creatorcontrib><creatorcontrib>Mayer, Dominik</creatorcontrib><creatorcontrib>Hagemeister, Jan</creatorcontrib><creatorcontrib>Daub, Rüdiger</creatorcontrib><creatorcontrib>Fleischer, Jürgen</creatorcontrib><creatorcontrib>Nirschl, Hermann</creatorcontrib><creatorcontrib>Schröder, Daniel</creatorcontrib><creatorcontrib>Scharfer, Philip</creatorcontrib><creatorcontrib>Schabel, Wilhelm</creatorcontrib><creatorcontrib>Kwade, Arno</creatorcontrib><creatorcontrib>Herrmann, Christoph</creatorcontrib><title>Digitalization Platform for Sustainable Battery Cell Production: Coupling of Process, Production, and Product Models</title><title>Energy technology (Weinheim, Germany)</title><description>Lithium‐ion batteries are used in a wide range of applications, with the electromobility sector being the main contributor to the increasing demand predicted for the next decade. Although batteries play an important role in decarbonizing the transportation sector, their production includes energy‐intensive processes that hinder a more sustainable production. Moreover, the production processes are characterized by a manifold of parameters leading to complex cause–effect relations along the process chain which influences the battery cell quality. Therefore, a sustainable future for battery production and the electromobility sector depends on the environmentally and economically efficient production of high‐performance batteries. Against this background, this work presents a digitalization platform based on the coupling of mechanistic models to digitally reproduce the battery cell production and provide a deeper understanding of the interdependencies on the process, production, and product levels. In addition to a description of the individual models contained in the platform, this work demonstrates their coupling on a use case to study the effects of different solids contents of the coating suspension. Besides providing a multilevel assessment of the parameter interdependencies, considering quality, environmental and economic aspects, the presented framework contributes to knowledge‐based decision support and improvement of production and battery cell performance.
The digitalization platform represents a valuable tool for comprehensive decision‐making under consideration of cause–effect relations. The complexity of the results highlights the importance of multilevel analysis to deeply understand the mechanisms behind the parameter variations. This is critical for planning and improving battery cell production, as it helps to increase battery cell performance and support more environmentally sustainable production.</description><subject>battery cell simulations</subject><subject>Coupling</subject><subject>Decarbonization</subject><subject>Digital technology</subject><subject>Digitization</subject><subject>Electromobility</subject><subject>energy efficiency</subject><subject>Lithium</subject><subject>Lithium-ion batteries</subject><subject>Mathematical models</subject><subject>Parameters</subject><subject>process modeling</subject><subject>Product models</subject><subject>simulations</subject><subject>Sustainability</subject><subject>Sustainable production</subject><subject>Transportation industry</subject><issn>2194-4288</issn><issn>2194-4296</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNqFkMtLAzEQhxdRsNRePQe8dmse-8h601ofULVgPYdsHiUl3dQki9S_3l2q1ZuXmUn4vhn4Jck5ghMEIb5UTVQTDDGGkEJ0lAwwqrI0w1VxfJgpPU1GIawhhAjmJIdkkMRbszKRW_PJo3ENWFgetfMb0BXw2obITcNrq8ANj1H5HZgqa8HCO9mKXrgCU9durWlWwOn-X6gQxn-AMeCN_HmDJyeVDWfJieY2qNF3HyZvd7Pl9CGdv9w_Tq_nqcC0RGlZVbXWsFBcaQkp50KSLBO5KAtO6qIkhSJ1XUhIMi2kprWUGSUSZ5rnMseIDJOL_d6td--tCpGtXeub7iTDFHVZlaQiHTXZU8K7ELzSbOvNhvsdQ5D14bI-XHYItxOqvfBhrNr9Q7PZ83L2634BZEiAAg</recordid><startdate>202305</startdate><enddate>202305</enddate><creator>Ventura Silva, Gabriela</creator><creator>Thomitzek, Matthias</creator><creator>Lippke, Mark</creator><creator>Heckmann, Thilo</creator><creator>Karaki, Hassan</creator><creator>Lischka, Clemens</creator><creator>Möhlen, Felix</creator><creator>Mayer, Dominik</creator><creator>Hagemeister, Jan</creator><creator>Daub, Rüdiger</creator><creator>Fleischer, Jürgen</creator><creator>Nirschl, Hermann</creator><creator>Schröder, Daniel</creator><creator>Scharfer, Philip</creator><creator>Schabel, Wilhelm</creator><creator>Kwade, Arno</creator><creator>Herrmann, Christoph</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-9655-9874</orcidid></search><sort><creationdate>202305</creationdate><title>Digitalization Platform for Sustainable Battery Cell Production: Coupling of Process, Production, and Product Models</title><author>Ventura Silva, Gabriela ; 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In addition to a description of the individual models contained in the platform, this work demonstrates their coupling on a use case to study the effects of different solids contents of the coating suspension. Besides providing a multilevel assessment of the parameter interdependencies, considering quality, environmental and economic aspects, the presented framework contributes to knowledge‐based decision support and improvement of production and battery cell performance.
The digitalization platform represents a valuable tool for comprehensive decision‐making under consideration of cause–effect relations. The complexity of the results highlights the importance of multilevel analysis to deeply understand the mechanisms behind the parameter variations. This is critical for planning and improving battery cell production, as it helps to increase battery cell performance and support more environmentally sustainable production.</abstract><cop>Weinheim</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/ente.202200801</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-9655-9874</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | battery cell simulations Coupling Decarbonization Digital technology Digitization Electromobility energy efficiency Lithium Lithium-ion batteries Mathematical models Parameters process modeling Product models simulations Sustainability Sustainable production Transportation industry |
| title | Digitalization Platform for Sustainable Battery Cell Production: Coupling of Process, Production, and Product Models |
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