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Exploiting dynamic modeling, parameter identification, and power electronics to implement a non-dissipative Li-ion battery hardware emulator

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Listed:
  • Luna, M.
  • Di Piazza, M.C.
  • La Tona, G.
  • Accetta, A.
  • Pucci, M.

Abstract

More and more applications encompass battery energy storage systems (BESSs) based on Li-ion batteries. However, when designing the power converter of a BESS or when studying the interaction between BESSs and other application components, relying on a real battery makes the process cumbersome, expensive, and time-consuming. Moreover, the battery could even suffer damages. The aim of the work is to show that it is possible to exploit suitable battery models and related parameter identification methodologies, as well as power converters and related control techniques, to develop a hardware device that emulates any given battery. In particular, this paper shows the design and the experimental prototype of a Li-ion battery emulator that is capable of both sourcing and sinking power at kilowatt scale. Unlike other similar devices available in the market or described in the technical literature, the proposed device is low-cost, it injects power into the grid during sink operation, and it can also reproduce battery dynamics. Design criteria are given in the manuscript. The proposed battery emulator has been tested and experimentally validated. The obtained device allows reducing the cost, time, and complexity of performing system tests in Li-ion BESS applications.

Suggested Citation

  • Luna, M. & Di Piazza, M.C. & La Tona, G. & Accetta, A. & Pucci, M., 2021. "Exploiting dynamic modeling, parameter identification, and power electronics to implement a non-dissipative Li-ion battery hardware emulator," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 183(C), pages 48-65.
    • Handle: RePEc:eee:matcom:v:183:y:2021:i:c:p:48-65
    DOI: 10.1016/j.matcom.2020.04.028
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    References listed on IDEAS

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    1. Fotouhi, Abbas & Auger, Daniel J. & Propp, Karsten & Longo, Stefano & Wild, Mark, 2016. "A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1008-1021.
    2. Holger C. Hesse & Michael Schimpe & Daniel Kucevic & Andreas Jossen, 2017. "Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids," Energies, MDPI, vol. 10(12), pages 1-42, December.
    3. Ram, J. Prasanth & Manghani, Himanshu & Pillai, Dhanup S. & Babu, T. Sudhakar & Miyatake, Masafumi & Rajasekar, N., 2018. "Analysis on solar PV emulators: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 149-160.
    4. Yan, Jianhu & Feng, Yi & Dong, Jianning, 2016. "Study on dynamic characteristic of wind turbine emulator based on PMSM," Renewable Energy, Elsevier, vol. 97(C), pages 731-736.
    5. Marsala, Giuseppe & Pucci, Marcello & Vitale, Gianpaolo & Cirrincione, Maurizio & Miraoui, Abdellatif, 2009. "A prototype of a fuel cell PEM emulator based on a buck converter," Applied Energy, Elsevier, vol. 86(10), pages 2192-2203, October.
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