A practical battery wear model for electric vehicle charging applications
Sekyung Han,
Soohee Han and
Hirohisa Aki
Applied Energy, 2014, vol. 113, issue C, 1100-1108
Abstract:
A practical semi-empirical battery wear model is proposed for electric vehicle (EV) charging applications. The necessary parameters are investigated for EV charging control from a practical perspective. The proposed battery wear model is based on pervasive experimental cycle life data provided by the manufacturers. The return value of the model directly indicates the wear cost, and thereby, it can be combined with other criteria for multi-objective optimization. As a result, the proposed model is more practically applicable to battery-charging applications than the conventional models. Then, the cost functions are developed for typical vehicle-to-grid (V2G) applications incorporating the battery wear. Based on the developed cost functions, several case studies are performed showing the significance of the battery wear. It is shown through simulation that neglecting the effect of wear in V2G applications may lead to an erroneous result attributed to the exaggerated cost.
Keywords: Battery; Degradation; Cycle life; Electric vehicle; Vehicle-to-grid (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (48)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030626191300706X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:113:y:2014:i:c:p:1100-1108
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2013.08.062
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().