A hybrid lithium-ion battery model for system-level analyses

Research output: Contribution to journalArticleScientificpeer-review

Researchers

Research units

Abstract

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.

Details

Original languageEnglish
Pages (from-to)1576-1592
Number of pages17
JournalInternational Journal of Energy Research
Volume40
Issue number11
Publication statusPublished - 1 Sep 2016
MoE publication typeA1 Journal article-refereed

    Research areas

  • battery, empirical, energy system, hybrid, lithium-ion, neural network

ID: 6944559