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Multi-Method Model for the Investigation of Disassembly Scenarios for Electric Vehicle Batteries

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Τίτλος: Multi-Method Model for the Investigation of Disassembly Scenarios for Electric Vehicle Batteries
Συγγραφείς: Sabri Baazouzi, Julian Grimm, Kai Peter Birke
Πηγή: Batteries, Vol 9, Iss 12, p 587 (2023)
Στοιχεία εκδότη: MDPI AG
Έτος έκδοσης: 2023
Συλλογή: Directory of Open Access Journals: DOAJ Articles
Θεματικοί όροι: electric vehicle batteries, disassembly, disassembly scenarios, automated disassembly, self-configuring model, multi-method simulation, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Industrial electrochemistry, TP250-261
Περιγραφή: Disassembly is a pivotal technology to enable the circularity of electric vehicle batteries through the application of circular economy strategies to extend the life cycle of battery components through solutions such as remanufacturng, repurposing, and efficient recycling, ultimately reintegrating gained materials into the production of new battery systems. This paper aims to develop a multi-method self-configuring simulation model to investigate disassembly scenarios, taking into account battery design as well as the configuration and layout of the disassembly station. We demonstrate the developed model in a case study using a Mercedes–Benz battery and the automated disassembly station of the DeMoBat project at Fraunhofer IPA. Furthermore, we introduce two disassembly scenarios: component-oriented and accessibility-oriented disassembly. These scenarios are compared using the simulation model to determine several indicators, including the frequency of tool change, the number and distribution of robot routes, tool utilization, and disassembly time.
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: English
Relation: https://www.mdpi.com/2313-0105/9/12/587; https://doaj.org/toc/2313-0105; https://doaj.org/article/cbd830a8cd3848fbaa1b9a4dca61aa07
DOI: 10.3390/batteries9120587
Διαθεσιμότητα: https://doi.org/10.3390/batteries9120587
https://doaj.org/article/cbd830a8cd3848fbaa1b9a4dca61aa07
Αριθμός Καταχώρησης: edsbas.23A4D201
Βάση Δεδομένων: BASE
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  – Url: https://doi.org/10.3390/batteries9120587#
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  Data: Multi-Method Model for the Investigation of Disassembly Scenarios for Electric Vehicle Batteries
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  Data: <searchLink fieldCode="AR" term="%22Sabri+Baazouzi%22">Sabri Baazouzi</searchLink><br /><searchLink fieldCode="AR" term="%22Julian+Grimm%22">Julian Grimm</searchLink><br /><searchLink fieldCode="AR" term="%22Kai+Peter+Birke%22">Kai Peter Birke</searchLink>
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  Data: Batteries, Vol 9, Iss 12, p 587 (2023)
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  Data: 2023
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  Data: <searchLink fieldCode="DE" term="%22electric+vehicle+batteries%22">electric vehicle batteries</searchLink><br /><searchLink fieldCode="DE" term="%22disassembly%22">disassembly</searchLink><br /><searchLink fieldCode="DE" term="%22disassembly+scenarios%22">disassembly scenarios</searchLink><br /><searchLink fieldCode="DE" term="%22automated+disassembly%22">automated disassembly</searchLink><br /><searchLink fieldCode="DE" term="%22self-configuring+model%22">self-configuring model</searchLink><br /><searchLink fieldCode="DE" term="%22multi-method+simulation%22">multi-method simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Production+of+electric+energy+or+power%2E+Powerplants%2E+Central+stations%22">Production of electric energy or power. Powerplants. Central stations</searchLink><br /><searchLink fieldCode="DE" term="%22TK1001-1841%22">TK1001-1841</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+electrochemistry%22">Industrial electrochemistry</searchLink><br /><searchLink fieldCode="DE" term="%22TP250-261%22">TP250-261</searchLink>
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  Data: Disassembly is a pivotal technology to enable the circularity of electric vehicle batteries through the application of circular economy strategies to extend the life cycle of battery components through solutions such as remanufacturng, repurposing, and efficient recycling, ultimately reintegrating gained materials into the production of new battery systems. This paper aims to develop a multi-method self-configuring simulation model to investigate disassembly scenarios, taking into account battery design as well as the configuration and layout of the disassembly station. We demonstrate the developed model in a case study using a Mercedes–Benz battery and the automated disassembly station of the DeMoBat project at Fraunhofer IPA. Furthermore, we introduce two disassembly scenarios: component-oriented and accessibility-oriented disassembly. These scenarios are compared using the simulation model to determine several indicators, including the frequency of tool change, the number and distribution of robot routes, tool utilization, and disassembly time.
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  Data: https://www.mdpi.com/2313-0105/9/12/587; https://doaj.org/toc/2313-0105; https://doaj.org/article/cbd830a8cd3848fbaa1b9a4dca61aa07
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  Data: 10.3390/batteries9120587
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      – Text: English
    Subjects:
      – SubjectFull: electric vehicle batteries
        Type: general
      – SubjectFull: disassembly
        Type: general
      – SubjectFull: disassembly scenarios
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      – SubjectFull: automated disassembly
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      – SubjectFull: Industrial electrochemistry
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      – SubjectFull: TP250-261
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      – TitleFull: Multi-Method Model for the Investigation of Disassembly Scenarios for Electric Vehicle Batteries
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