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.…
Document Type: | Article (reviewed) |
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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 WeißharGND, 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): | Urheberrechtlich geschützt |