Simulation-Based Analysis of Equalization Algorithms on Active Balancing Battery Topologies for Electric Vehicles

Asadullah Khalid; Alexander Hernandez; Aditya Sundararajan; Arif I. Sarwat

doi:10.1007/978-3-030-32520-6_52

Simulation-Based Analysis of Equalization Algorithms on Active Balancing Battery Topologies for Electric Vehicles

Asadullah Khalid, Alexander Hernandez, Aditya Sundararajan, Arif I. Sarwat

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

Abstract

Determination of the cell electro-chemistry, topology, and application requirements are crucial to developing a battery management system for charge equalization in a series-connected stack of Lithium-ion (Li-ion) cells. The existing literature on topology categorization does not provide battery and battery model selection methodology for battery management system (BMS) development. To bridge this gap in the literature, this paper provides a unique simulation based analysis on the major steps required to build a BMS that include analysis of a variety of existing Lithium-ion cell electro-chemistries, equivalent models, equalization topologies and circuits. Equalization circuits and their variants are categorized based on components, topology, balancing time and configurations. Cell balancing simulations are then performed on a centralized and a distributed topology using an appropriate equivalent model identified by the analysis. In addition, the simulation also uses a unique cell equalization algorithm proposed in this paper. The results validate voltage and state of charge (SOC) equalization performance in terms of balancing time and energy efficiency. These factors play a crucial role in maintaining battery life and preventing thermal runaways in electric vehicles (EV) or energy storage systems (ESS).

Original language	English
Title of host publication	Proceedings of the Future Technologies Conference, FTC 2019 Volume 1
Editors	Kohei Arai, Rahul Bhatia, Supriya Kapoor
Publisher	Springer
Pages	708-728
Number of pages	21
ISBN (Print)	9783030325190
DOIs	https://doi.org/10.1007/978-3-030-32520-6_52
State	Published - 2020
Externally published	Yes
Event	4th Future Technologies Conference, FTC 2019 - San Francisco, United States Duration: Oct 24 2019 → Oct 25 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1069
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	4th Future Technologies Conference, FTC 2019
Country/Territory	United States
City	San Francisco
Period	10/24/19 → 10/25/19

Funding

Acknowledgments. The material published is a result of the research supported by the National Science Foundation under the Award number CNS-1553494.

Keywords

Balancing time
Electro-chemistry
Energy storage element
Equalization algorithm
Parameter identification
SOC convergence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-32520-6_52

Cite this

Khalid, A., Hernandez, A., Sundararajan, A., & Sarwat, A. I. (2020). Simulation-Based Analysis of Equalization Algorithms on Active Balancing Battery Topologies for Electric Vehicles. In K. Arai, R. Bhatia, & S. Kapoor (Eds.), Proceedings of the Future Technologies Conference, FTC 2019 Volume 1 (pp. 708-728). (Advances in Intelligent Systems and Computing; Vol. 1069). Springer. https://doi.org/10.1007/978-3-030-32520-6_52

Khalid, Asadullah ; Hernandez, Alexander ; Sundararajan, Aditya et al. / Simulation-Based Analysis of Equalization Algorithms on Active Balancing Battery Topologies for Electric Vehicles. Proceedings of the Future Technologies Conference, FTC 2019 Volume 1. editor / Kohei Arai ; Rahul Bhatia ; Supriya Kapoor. Springer, 2020. pp. 708-728 (Advances in Intelligent Systems and Computing).

@inproceedings{4ac7082036184cbe9e7eb731778c1190,

title = "Simulation-Based Analysis of Equalization Algorithms on Active Balancing Battery Topologies for Electric Vehicles",

abstract = "Determination of the cell electro-chemistry, topology, and application requirements are crucial to developing a battery management system for charge equalization in a series-connected stack of Lithium-ion (Li-ion) cells. The existing literature on topology categorization does not provide battery and battery model selection methodology for battery management system (BMS) development. To bridge this gap in the literature, this paper provides a unique simulation based analysis on the major steps required to build a BMS that include analysis of a variety of existing Lithium-ion cell electro-chemistries, equivalent models, equalization topologies and circuits. Equalization circuits and their variants are categorized based on components, topology, balancing time and configurations. Cell balancing simulations are then performed on a centralized and a distributed topology using an appropriate equivalent model identified by the analysis. In addition, the simulation also uses a unique cell equalization algorithm proposed in this paper. The results validate voltage and state of charge (SOC) equalization performance in terms of balancing time and energy efficiency. These factors play a crucial role in maintaining battery life and preventing thermal runaways in electric vehicles (EV) or energy storage systems (ESS).",

keywords = "Balancing time, Electro-chemistry, Energy storage element, Equalization algorithm, Parameter identification, SOC convergence",

author = "Asadullah Khalid and Alexander Hernandez and Aditya Sundararajan and Sarwat, {Arif I.}",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 4th Future Technologies Conference, FTC 2019 ; Conference date: 24-10-2019 Through 25-10-2019",

year = "2020",

doi = "10.1007/978-3-030-32520-6_52",

language = "English",

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Khalid, A, Hernandez, A, Sundararajan, A & Sarwat, AI 2020, Simulation-Based Analysis of Equalization Algorithms on Active Balancing Battery Topologies for Electric Vehicles. in K Arai, R Bhatia & S Kapoor (eds), Proceedings of the Future Technologies Conference, FTC 2019 Volume 1. Advances in Intelligent Systems and Computing, vol. 1069, Springer, pp. 708-728, 4th Future Technologies Conference, FTC 2019, San Francisco, United States, 10/24/19. https://doi.org/10.1007/978-3-030-32520-6_52

Simulation-Based Analysis of Equalization Algorithms on Active Balancing Battery Topologies for Electric Vehicles. / Khalid, Asadullah; Hernandez, Alexander; Sundararajan, Aditya et al.
Proceedings of the Future Technologies Conference, FTC 2019 Volume 1. ed. / Kohei Arai; Rahul Bhatia; Supriya Kapoor. Springer, 2020. p. 708-728 (Advances in Intelligent Systems and Computing; Vol. 1069).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Simulation-Based Analysis of Equalization Algorithms on Active Balancing Battery Topologies for Electric Vehicles

AU - Khalid, Asadullah

AU - Hernandez, Alexander

AU - Sundararajan, Aditya

AU - Sarwat, Arif I.

PY - 2020

Y1 - 2020

N2 - Determination of the cell electro-chemistry, topology, and application requirements are crucial to developing a battery management system for charge equalization in a series-connected stack of Lithium-ion (Li-ion) cells. The existing literature on topology categorization does not provide battery and battery model selection methodology for battery management system (BMS) development. To bridge this gap in the literature, this paper provides a unique simulation based analysis on the major steps required to build a BMS that include analysis of a variety of existing Lithium-ion cell electro-chemistries, equivalent models, equalization topologies and circuits. Equalization circuits and their variants are categorized based on components, topology, balancing time and configurations. Cell balancing simulations are then performed on a centralized and a distributed topology using an appropriate equivalent model identified by the analysis. In addition, the simulation also uses a unique cell equalization algorithm proposed in this paper. The results validate voltage and state of charge (SOC) equalization performance in terms of balancing time and energy efficiency. These factors play a crucial role in maintaining battery life and preventing thermal runaways in electric vehicles (EV) or energy storage systems (ESS).

AB - Determination of the cell electro-chemistry, topology, and application requirements are crucial to developing a battery management system for charge equalization in a series-connected stack of Lithium-ion (Li-ion) cells. The existing literature on topology categorization does not provide battery and battery model selection methodology for battery management system (BMS) development. To bridge this gap in the literature, this paper provides a unique simulation based analysis on the major steps required to build a BMS that include analysis of a variety of existing Lithium-ion cell electro-chemistries, equivalent models, equalization topologies and circuits. Equalization circuits and their variants are categorized based on components, topology, balancing time and configurations. Cell balancing simulations are then performed on a centralized and a distributed topology using an appropriate equivalent model identified by the analysis. In addition, the simulation also uses a unique cell equalization algorithm proposed in this paper. The results validate voltage and state of charge (SOC) equalization performance in terms of balancing time and energy efficiency. These factors play a crucial role in maintaining battery life and preventing thermal runaways in electric vehicles (EV) or energy storage systems (ESS).

KW - Balancing time

KW - Electro-chemistry

KW - Energy storage element

KW - Equalization algorithm

KW - Parameter identification

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PB - Springer

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Y2 - 24 October 2019 through 25 October 2019

ER -

Khalid A, Hernandez A, Sundararajan A, Sarwat AI. Simulation-Based Analysis of Equalization Algorithms on Active Balancing Battery Topologies for Electric Vehicles. In Arai K, Bhatia R, Kapoor S, editors, Proceedings of the Future Technologies Conference, FTC 2019 Volume 1. Springer. 2020. p. 708-728. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-32520-6_52

Simulation-Based Analysis of Equalization Algorithms on Active Balancing Battery Topologies for Electric Vehicles

Abstract

Publication series

Conference

Funding

Keywords

UN SDGs

Access to Document

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