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A hybrid lithium‐ion battery model for system‐level analyses
Author(s) -
Lindgren Juuso,
Asghar Imran,
Lund Peter D.
Publication year - 2016
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.3617
Subject(s) - battery (electricity) , usable , lithium ion battery , automotive engineering , internal resistance , thermal , lithium (medication) , computer science , electrical engineering , engineering , power (physics) , thermodynamics , physics , medicine , world wide web , endocrinology
Summary We describe an advanced lithium‐ion battery model for system‐level analyses such as electric vehicle fleet simulation or distributed energy storage applications. The model combines an empirical multi‐parameter model and an artificial neural network with particular emphasis on thermal effects such as battery internal heating. The model is fast and can accurately describe constant current charging and discharging of a battery cell at a variety of ambient temperatures. Comparison to a commonly used linear kilowatt‐hour counter battery model indicates that a linear model overestimates the usable capacity of a battery at low temperatures. We highlight the importance of including internal heating in a battery model at low temperatures, as more capacity is available when internal heating is taken into account. Copyright © 2016 John Wiley & Sons, Ltd.