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

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Proceedings of the Future Technologies Conference (FTC) 2019 (FTC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1069))

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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).

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Acknowledgments

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

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Authors and Affiliations

  1. Florida International University, Miami, FL, USA

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

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  1. Asadullah Khalid
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  2. Alexander Hernandez
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  3. Aditya Sundararajan
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  4. Arif I. Sarwat
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Correspondence to Arif I. Sarwat .

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Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

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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: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2019. FTC 2019. Advances in Intelligent Systems and Computing, vol 1069. Springer, Cham. https://doi.org/10.1007/978-3-030-32520-6_52

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