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2014 32nd IEEE International Conference on Computer Design (ICCD) (2014)
Seoul, South Korea
Oct. 19, 2014 to Oct. 22, 2014
ISBN: 978-1-4799-6492-5
pp: 483-488
Massimo Petricca , Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Italy
Donghwa Shin , Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk 712-749, Republic of Korea
Alberto Bocca , Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Italy
Alberto Macii , Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Italy
Enrico Macii , Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Italy
Massimo Poncino , Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Italy
ABSTRACT
The de-facto standard approach in battery modeling consists of the definition of a generic model template in terms of an equivalent electric circuit, which is then populated either using data obtained from direct measurements on actual devices or by some extrapolation of battery characteristics available from datasheets. These models typically describe only intra-cycle effects, that is, those manifesting within a single charge/discharge cycle of a battery. However, basic battery dynamics, during a single discharge, cannot provide a true estimate of the actual lifetime of the battery, e.g., how its usability decreases due to long-term and irreversible effects, such as the fading of capacity due to aging or to repeated cycling. While some solutions in the literature provide answers to this problem by proposing suitable models for these effects, they do not provide solutions for how to incorporate them into a generic model template.
INDEX TERMS
Batteries, Integrated circuit modeling, Mathematical model, Aging, Discharges (electric), Data models, Biological system modeling
CITATION

M. Petricca, D. Shin, A. Bocca, A. Macii, E. Macii and M. Poncino, "Automated generation of battery aging models from datasheets," 2014 32nd IEEE International Conference on Computer Design (ICCD), Seoul, South Korea, 2014, pp. 483-488.
doi:10.1109/ICCD.2014.6974723
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