IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i19p6320-d649416.html
   My bibliography  Save this article

Low Power Modular Battery Management System with a Wireless Communication Interface

Author

Listed:
  • Roman Gozdur

    (Department of Semiconductor and Optoelectronics Devices, Lodz University of Technology, Wólczańska Str. 211/215, 90-924 Łódź, Poland)

  • Tomasz Przerywacz

    (Faculty of Electrical, Electronic, Computer and Control Engineering, Lodz University of Technology, Stefanowskiego Str. 18/22, 90-924 Łódź, Poland)

  • Dariusz Bogdański

    (BTO Sp. z o.o., Fabryczna Str. 25, 90-341 Łódź, Poland)

Abstract

The paper concerns the design and development of large electric energy storage systems made of lithium cells. Most research advances in the development of lithium-ion battery management systems focus solely on safety, functionality, and improvement of the procedures for assessing the performance of systems without considering their energy efficiency. The paper presents an alternative approach to the design and analysis of large modular battery management systems. A modular battery management system and the dedicated wireless communication system were designed to analyze and optimize energy consumption. The algorithms for assembly, reporting, management, and communication procedures described in the paper are a robust design tool for further developing large and scalable battery systems. The conducted analysis of energy efficiency for the exemplary 100S15P system shows that the energy used to power the developed battery management system is comparable to the energy dissipated due to the intrinsic self-discharge of lithium-ion cells.

Suggested Citation

  • Roman Gozdur & Tomasz Przerywacz & Dariusz Bogdański, 2021. "Low Power Modular Battery Management System with a Wireless Communication Interface," Energies, MDPI, vol. 14(19), pages 1-20, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6320-:d:649416
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/19/6320/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/19/6320/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Yujie & Tian, Jiaqiang & Sun, Zhendong & Wang, Li & Xu, Ruilong & Li, Mince & Chen, Zonghai, 2020. "A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    2. Richard Schmuch & Ralf Wagner & Gerhard Hörpel & Tobias Placke & Martin Winter, 2018. "Performance and cost of materials for lithium-based rechargeable automotive batteries," Nature Energy, Nature, vol. 3(4), pages 267-278, April.
    3. Rothgang, Susanne & Baumhöfer, Thorsten & van Hoek, Hauke & Lange, Tobias & De Doncker, Rik W. & Sauer, Dirk Uwe, 2015. "Modular battery design for reliable, flexible and multi-technology energy storage systems," Applied Energy, Elsevier, vol. 137(C), pages 931-937.
    4. Dai, Haifeng & Jiang, Bo & Hu, Xiaosong & Lin, Xianke & Wei, Xuezhe & Pecht, Michael, 2021. "Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    5. Khaled Sehil & Basem Alamri & Mohammed Alqarni & Abdulhafid Sallama & Mohamed Darwish, 2021. "Empirical Analysis of High Voltage Battery Pack Cells for Electric Racing Vehicles," Energies, MDPI, vol. 14(6), pages 1-18, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Naseri, F. & Gil, S. & Barbu, C. & Cetkin, E. & Yarimca, G. & Jensen, A.C. & Larsen, P.G. & Gomes, C., 2023. "Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    2. Li, Alan G. & West, Alan C. & Preindl, Matthias, 2022. "Towards unified machine learning characterization of lithium-ion battery degradation across multiple levels: A critical review," Applied Energy, Elsevier, vol. 316(C).
    3. Jiang, Bo & Zhu, Jiangong & Wang, Xueyuan & Wei, Xuezhe & Shang, Wenlong & Dai, Haifeng, 2022. "A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries," Applied Energy, Elsevier, vol. 322(C).
    4. Xie, Peng & Jin, Lu & Qiao, Geng & Lin, Cheng & Barreneche, Camila & Ding, Yulong, 2022. "Thermal energy storage for electric vehicles at low temperatures: Concepts, systems, devices and materials," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    5. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2022. "Modelling and optimal energy management for battery energy storage systems in renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    6. Jiang, Bo & Tao, Siyi & Wang, Xueyuan & Zhu, Jiangong & Wei, Xuezhe & Dai, Haifeng, 2023. "Mechanics-based state of charge estimation for lithium-ion pouch battery using deep learning technique," Energy, Elsevier, vol. 278(PA).
    7. Dae-Seon Hong & Yeon-Ji Choi & Chang-Su Jin & Kyoung-Hee Shin & Woo-Jin Song & Sun-Hwa Yeon, 2023. "Enhanced Cycle Performance of NiCo 2 O 4 /CNTs Composites in Lithium-Air Batteries," Energies, MDPI, vol. 17(1), pages 1-14, December.
    8. Held, Marcel & Tuchschmid, Martin & Zennegg, Markus & Figi, Renato & Schreiner, Claudia & Mellert, Lars Derek & Welte, Urs & Kompatscher, Michael & Hermann, Michael & Nachef, Léa, 2022. "Thermal runaway and fire of electric vehicle lithium-ion battery and contamination of infrastructure facility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    9. Takyi-Aninakwa, Paul & Wang, Shunli & Zhang, Hongying & Yang, Xiao & Fernandez, Carlos, 2023. "A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures," Energy, Elsevier, vol. 273(C).
    10. Ester Vasta & Tommaso Scimone & Giovanni Nobile & Otto Eberhardt & Daniele Dugo & Massimiliano Maurizio De Benedetti & Luigi Lanuzza & Giuseppe Scarcella & Luca Patanè & Paolo Arena & Mario Cacciato, 2023. "Models for Battery Health Assessment: A Comparative Evaluation," Energies, MDPI, vol. 16(2), pages 1-34, January.
    11. Okay, Kamil & Eray, Sermet & Eray, Aynur, 2022. "Development of prototype battery management system for PV system," Renewable Energy, Elsevier, vol. 181(C), pages 1294-1304.
    12. Entwistle, Jake & Ge, Ruihuan & Pardikar, Kunal & Smith, Rachel & Cumming, Denis, 2022. "Carbon binder domain networks and electrical conductivity in lithium-ion battery electrodes: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    13. Qi, Kaijian & Zhang, Weigang & Zhou, Wei & Cheng, Jifu, 2022. "Integrated battery power capability prediction and driving torque regulation for electric vehicles: A reduced order MPC approach," Applied Energy, Elsevier, vol. 317(C).
    14. Hsieh, I-Yun Lisa & Pan, Menghsuan Sam & Green, William H., 2020. "Transition to electric vehicles in China: Implications for private motorization rate and battery market," Energy Policy, Elsevier, vol. 144(C).
    15. Liu, Xinghua & Li, Siqi & Tian, Jiaqiang & Wei, Zhongbao & Wang, Peng, 2023. "Health estimation of lithium-ion batteries with voltage reconstruction and fusion model," Energy, Elsevier, vol. 282(C).
    16. Aneta Wysokińska-Senkus, 2021. "Determinants of Improving the Strategy of Sustainable Energy Management of Building Sustainable Value for Stakeholders—Experience of Organizations in Poland," Energies, MDPI, vol. 14(10), pages 1-18, May.
    17. Deepayan Debnath & Madhu Khanna & Deepak Rajagopal & David Zilberman, 2019. "The Future of Biofuels in an Electrifying Global Transportation Sector: Imperative, Prospects and Challenges," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 563-582, December.
    18. Sungwoo Jo & Sunkyu Jung & Taemoon Roh, 2021. "Battery State-of-Health Estimation Using Machine Learning and Preprocessing with Relative State-of-Charge," Energies, MDPI, vol. 14(21), pages 1-16, November.
    19. Ma, Chen & Chang, Long & Cui, Naxin & Duan, Bin & Zhang, Yulong & Yu, Zhihao, 2022. "Statistical relationships between numerous retired lithium-ion cells and packs with random sampling for echelon utilization," Energy, Elsevier, vol. 257(C).
    20. Fabian Rücker & Ilka Schoeneberger & Till Wilmschen & Ahmed Chahbaz & Philipp Dechent & Felix Hildenbrand & Elias Barbers & Matthias Kuipers & Jan Figgener & Dirk Uwe Sauer, 2022. "A Comprehensive Electric Vehicle Model for Vehicle-to-Grid Strategy Development," Energies, MDPI, vol. 15(12), pages 1-31, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6320-:d:649416. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.