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Model-Based Degradation Assessment of Lithium-Ion Batteries in a Smart Microgrid

  • Battery degradation is a complex physicochemical process that strongly depends on operating conditions and environment. We present a model-based analysis of lithium-ion battery degradation in smart microgrids, in particular, a single-family house and an office tract with photovoltaics generator. We use a multi-scale multi-physics model of a graphite/lithium iron phosphate (LiFePO4, LFP) cellBattery degradation is a complex physicochemical process that strongly depends on operating conditions and environment. We present a model-based analysis of lithium-ion battery degradation in smart microgrids, in particular, a single-family house and an office tract with photovoltaics generator. We use a multi-scale multi-physics model of a graphite/lithium iron phosphate (LiFePO4, LFP) cell including SEI formation as ageing mechanism. The cell-level model is dynamically coupled to a system-level model consisting of photovoltaics, inverter, power consumption profiles, grid interaction, and energy management system, fed with historic weather data. The behavior of the cell in terms of degradation propensity, performance, state of charge and other internal states is predicted over an annual operation cycle. As result, we have identified a peak in degradation rate during the battery charging process, caused by charging overpotentials. Ageing strongly depends on the load situation, where the predicted annual capacity fade is 1.9 % for the single-family house and only 1.3 % for the office tract.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/2339
Bibliografische Angaben
Title (English):Model-Based Degradation Assessment of Lithium-Ion Batteries in a Smart Microgrid
Conference:2015 International Conference on Smart Grid and Clean Energy Technologies, 20-23 October 2015, Offenburg, Germany
Author:Björn WeißharStaff MemberGND, Wolfgang G. BesslerStaff MemberORCiDGND
Year of Publication:2016
Publisher:IEEE
First Page:134
Last Page:138
Parent Title (English):2015 International Conference on Smart Grid and Clean Energy Technologies : ICSGCE 2015
ISBN:978-1-4673-8734-7 (Elektronisch)
ISBN:978-1-4673-8732-3 (Print)
ISBN:978-1-4673-8731-6 (CD)
DOI:https://doi.org/10.1109/ICSGCE.2015.7454284
Language:English
Inhaltliche Informationen
Institutes:Forschung / INES - Institut für nachhaltige Energiesysteme (bis 18.11.2021: Institut für Energiesystemtechnik)
Fakultät Elektrotechnik und Informationstechnik (E+I) (bis 03/2019)
Institutes:Bibliografie
Tag:Brennstoffzelle; Elektrode; Fotovoltaik; Microgrid
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt