Performance analysis results of a battery fuel gauge algorithm at multiple temperatures

Document Type

Article

Publication Date

1-1-2015

Publication Title

Journal of Power Sources

Volume

273

First Page

742

Keywords

Battery fuel gauge (BFG), Battery management system (BMS), State of charge (SOC), tracking Hardware-in-the-loop (HIL) validation

Last Page

753

Abstract

Evaluating a battery fuel gauge (BFG) algorithm is a challenging problem due to the fact that there are no reliable mathematical models to represent the complex features of a Li-ion battery, such as hysteresis and relaxation effects, temperature effects on parameters, aging, power fade (PF), and capacity fade (CF) with respect to the chemical composition of the battery. The existing literature is largely focused on developing different BFG strategies and BFG validation has received little attention. In this paper, using hardware in the loop (HIL) data collected form three Li-ion batteries at nine different temperatures ranging from -20 °C to 40 °C, we demonstrate detailed validation results of a battery fuel gauge (BFG) algorithm. The BFG validation is based on three different BFG validation metrics; we provide implementation details of these three BFG evaluation metrics by proposing three different BFG validation load profiles that satisfy varying levels of user requirements.

DOI

10.1016/j.jpowsour.2014.09.063

ISSN

03787753

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