Abstract

This paper proposes and validates through simulations and measurements, a procedure for the determining the equivalent circuit parameters of large utility-scale batteries. It is considered that a large battery includes multiple cells connected in series and parallel, and therefore, its equivalent circuit can be represented as a series-parallel network of state of charge (SOC) dependent resistors and capacitors. Tests for determining these equivalent circuit parameters are proposed. These tests involve subjecting the battery energy storage system (BESS) to multiple charge and discharge cycles, while monitoring the terminal voltage and current response. A method for post-processing and analyzing the measurements in order to obtain an equivalent circuit model that accounts for the dynamic properties of the battery system and differences between the parameters of each cell is developed. The measurements and simulations are conducted for a 1MW/2MWh BESS demonstrator located at the Louisville Gas and Electric and Kentucky Utilities (LG&E and KU) E.W. Brown generating plant.

Document Type

Conference Proceeding

Publication Date

9-2019

Notes/Citation Information

Published in 2019 IEEE Energy Conversion Congress and Exposition (ECCE).

© 2019 IEEE Copyright Notice. “Personal use of this material is permitted. Permission from IEEE must beobtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, forresale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."

The document available for download is the authors’ manuscript version that is accepted for publication. The final published version is copyrighted by IEEE and available as: O. M. Akeyo, V. Rallabandi, N. Jewell and D. M. Ionel,”Measurement and Estimation of the Equivalent Circuit Parameters for Multi-MW Battery Systems,” 2019 IEEE Energy Conversion Congress and Exposition (ECCE), Baltimore,MD, USA, 2019, pp. 2499-2504, doi: 10.1109/ECCE.2019.8912233.

Digital Object Identifier (DOI)

https://doi.org/10.1109/ECCE.2019.8912233

Funding Information

The support of LG&E and KU, and University of Kentucky,the L. Stanley Pigman endowment, of the SPARK Laboratory,and the Power and Energy Institute of Kentucky (PEIK) is gratefully acknowledged.

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