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Model-based lifetime prediction of an LFP/graphite lithium-ion battery in a stationary photovoltaic battery system

  • Battery degradation is a complex physicochemical process that strongly depends on operating conditions. We present a model-based analysis of lithium-ion battery degradation in a stationary photovoltaic battery system. We use a multi-scale multi-physics model of a graphite/lithium iron phosphate (LiFePO4, LFP) cell including solid electrolyte interphase (SEI) formation. The cell-level model isBattery degradation is a complex physicochemical process that strongly depends on operating conditions. We present a model-based analysis of lithium-ion battery degradation in a stationary photovoltaic battery system. We use a multi-scale multi-physics model of a graphite/lithium iron phosphate (LiFePO4, LFP) cell including solid electrolyte interphase (SEI) formation. The cell-level model is dynamically coupled to a system-level model consisting of photovoltaics (PV), inverter, load, grid interaction, and energy management system, fed with historic weather data. Simulations are carried out for two load scenarios, a single-family house and an office tract, over annual operation cycles with one-minute time resolution. As key result, we show that the charging process causes a peak in degradation rate due to electrochemical charge overpotentials. The main drivers for cell ageing are therefore not only a high state of charge (SOC), but the charging process leading towards high SOC. We also show that the load situation not only influences system parameters like self-sufficiency and self-consumption, but also has a significant impact on battery ageing. We assess reduced charge cut-off voltage as ageing mitigation strategy.show moreshow less

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Metadaten
Document Type:Article (reviewed)
Zitierlink: https://opus.hs-offenburg.de/2638
Bibliografische Angaben
Title (English):Model-based lifetime prediction of an LFP/graphite lithium-ion battery in a stationary photovoltaic battery system
Author:Björn WeißharStaff MemberGND, Wolfgang G. BesslerStaff MemberORCiDGND
Year of Publication:2017
Publisher:14
Page Number:13
First Page:179
Last Page:191
Parent Title (English):Journal of energy storage
ISSN:2352-152X
DOI:https://doi.org/10.1016/j.est.2017.10.002
URL:https://www.sciencedirect.com/science/article/pii/S2352152X17301810?via%3Dihub
Language:English
Inhaltliche Informationen
Institutes:Forschung / INES - Institut für nachhaltige Energiesysteme
Fakultät Maschinenbau und Verfahrenstechnik (M+V)
Institutes:Bibliografie
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt