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Comparison of li-ion battery ageing models applied
in photovoltaic stand-alone
systems
R. Dufo-López, S. Marquino Leonar,
J.L. Bernal-Agustín, J.S. Artal-Sevil, José A.
Domínguez-Navarro
2017/04/25
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Abstract
In this paper, three models to predict the
ageing of li-ion batteries (LiFePO4/graphite) are compared. The models
are applied in stand-alone (off-grid) photovoltaic (PV) - battery systems
and PV - diesel (or gasoline) - battery systems. A high dependency on
temperature is shown for all the models: the battery degrades at a higher
rate as temperature increases. Also, all the models present a dependency
on the charge and discharge rate: higher degradation occurs as charge
and discharge rate increases. Also degradation is highly affected by pauses
in between charge and discharge steps. Most of these dependencies are
coupled and highly non-linear. In PV-battery systems the charge and discharge
rate is usually low (lower than C/2), as the battery capacity is usually
high (designed for several days of autonomy, usually 2-6 days). Even in
PV-diesel or gasoline-battery systems this rate is low, although the battery
capacity is much lower than in PV-battery systems. The models are evaluated
in systems located near Zaragoza. In all the cases a 2.4 kWp PV generator
is considered. The size of the battery bank and of the diesel or gasoline
generator varies in the different cases. All the models show high battery
life (>30 years) in cases of PVbattery systems (with a battery bank
of 4 days autonomy). However, in the cases of PV-gasoline-battery systems,
there is a great difference in the estimation of the lifetime obtained
by the different models.
| Published in: Renewable Energy
& Power Quality Journal (RE&PQJ, Nº. 15) |
| Pages: 694-697 |
Date of Publication: 2017/04/25 |
| ISSN: 2172-038X |
Date of Current Version: |
|
REF: 435-17
|
Issue Date: April 2017 |
| DOI:10.24084/repqj15.435 |
Publisher: EA4EPQ |
Authors and affiliations
R. Dufo-López, S. Marquino Leonar, J.L. Bernal-Agustín,
J.S. Artal-Sevil, José A. Domínguez-Navarro
Department of Electrical Engineering. EINA, University of Zaragoza. (Spain)
Key word
Li-ion battery, ageing models, photovoltaic, off-grid.
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