Automated generation of battery aging models from datasheets

• Published in: 2014 IEEE 32nd International Conference on Computer Design (ICCD) pp. 483 - 488
• Main Authors: Petricca, Massimo, Donghwa Shin, Bocca, Alberto, Macii, Alberto, Macii, Enrico, Poncino, Massimo
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2014
• Subjects: Aging; Aging effects; Batteries; Battery Modeling; Biological system modeling; Capacity Fade; Data models; Datasheet; Discharges (electric); Integrated circuit modeling; Mathematical model
• ISSN: 1063-6404; 2576-6996
• DOI: 10.1109/ICCD.2014.6974723

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. In this work we propose a method to include inter-cycle battery effects into a reference model template in an automated way, and using solely data reported by battery manufacturers. Flexibility and accuracy of the proposed strategy are demonstrated by modeling a commercial lithium iron phosphate battery, whose datasheet provides long-term capacity fading information.