IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i9p3733-d1134001.html
   My bibliography  Save this article

Battery Dynamic Balancing Method Based on Calculation of Cell Voltage Reference Value

Author

Listed:
  • Nikolay Vikhorev

    (Department of Theoretical and General Electrical Engineering, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603950 Nizhny Novgorod, Russia)

  • Andrey Kurkin

    (Department of Applied Mathematics, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603950 Nizhny Novgorod, Russia)

  • Dmitriy Aleshin

    (Department of Theoretical and General Electrical Engineering, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603950 Nizhny Novgorod, Russia)

  • Danil Ulyanov

    (Department of Theoretical and General Electrical Engineering, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603950 Nizhny Novgorod, Russia)

  • Maksim Konstantinov

    (Department of Theoretical and General Electrical Engineering, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603950 Nizhny Novgorod, Russia)

  • Andrey Shalukho

    (Department of Electric Power Engineering, Power Supply and Power Electronics, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603950 Nizhny Novgorod, Russia)

Abstract

The article is devoted to solving the problem of charge equalization of multi-element batteries with rated voltage up to 1000 V, operating in dynamic modes with different charge and discharge depths. This article proposes a method of balancing the voltages of power battery elements. The essence of the proposed method is to form a reference signal equivalent to the reference voltage of the battery element for the current state of charge. The novelty of the method presented in this article, in comparison with relevant existing techniques, lies in active control over the balancing circuit proportional to real cell voltage deviation from the reference value. The proposed method can be used both for passive balancing techniques based on ballast resistors, and for circuits made on electromagnetic energy redistribution systems between galvanic cells. A number of Simulink models were developed to determine the electrical parameters of active and passive balancing circuits. Performance and accuracy study of balancing a multi-element battery in charge and discharge modes was conducted by Simulink models. It was established that, compared to classical methods, the proposed balancing method enhances the accuracy by 1.43 times and improves dynamic indices of the balancing process at any state of charge of batteries. The proposed balancing method is a perspective for energy storage systems based on multi-element batteries for power supply nodes of high-power loads with pulsed and repeated short-term operation modes.

Suggested Citation

  • Nikolay Vikhorev & Andrey Kurkin & Dmitriy Aleshin & Danil Ulyanov & Maksim Konstantinov & Andrey Shalukho, 2023. "Battery Dynamic Balancing Method Based on Calculation of Cell Voltage Reference Value," Energies, MDPI, vol. 16(9), pages 1-17, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3733-:d:1134001
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/9/3733/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/9/3733/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qingyu Zhang & Guanglin Wang & Xudong Pan & Yuefeng Li & Jianqi He & Yue Qi & Juesuan Yang, 2023. "High Voltage Electric Pulse Drilling: A Study of Variables through Simulation and Experimental Tests," Energies, MDPI, vol. 16(3), pages 1-17, January.
    2. Norihiro Shimoi & Kazuyuki Tohji, 2022. "Simple Diagnosis of Lifetime Characteristics of Used Automotive Storage Battery Cells," Energies, MDPI, vol. 15(23), pages 1-9, November.
    3. Saad, Ahmed A. & Faddel, Samy & Mohammed, Osama, 2019. "A secured distributed control system for future interconnected smart grids," Applied Energy, Elsevier, vol. 243(C), pages 57-70.
    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. Ding, Shixing & Gu, Wei & Lu, Shuai & Yu, Ruizhi & Sheng, Lina, 2022. "Cyber-attack against heating system in integrated energy systems: Model and propagation mechanism," Applied Energy, Elsevier, vol. 311(C).
    2. Du, Dajun & Zhu, Minggao & Wu, Dakui & Li, Xue & Fei, Minrui & Hu, Yukun & Li, Kang, 2024. "Distributed security state estimation-based carbon emissions and economic cost analysis for cyber–physical power systems under hybrid attacks," Applied Energy, Elsevier, vol. 353(PA).
    3. Chen, Chunyu & Cui, Mingjian & Fang, Xin & Ren, Bixing & Chen, Yang, 2020. "Load altering attack-tolerant defense strategy for load frequency control system," Applied Energy, Elsevier, vol. 280(C).
    4. Yu, Hang & Shang, Yitong & Niu, Songyan & Cheng, Chong & Shao, Ziyun & Jian, Linni, 2022. "Towards energy-efficient and cost-effective DC nanaogrid: A novel pseudo hierarchical architecture incorporating V2G technology for both autonomous coordination and regulated power dispatching," Applied Energy, Elsevier, vol. 313(C).
    5. Mahmoud S. Abdelrahman & Ibtissam Kharchouf & Hossam M. Hussein & Mustafa Esoofally & Osama A. Mohammed, 2024. "Enhancing Cyber-Physical Resiliency of Microgrid Control under Denial-of-Service Attack with Digital Twins," Energies, MDPI, vol. 17(16), pages 1-25, August.
    6. Matthew Boeding & Kelly Boswell & Michael Hempel & Hamid Sharif & Juan Lopez & Kalyan Perumalla, 2022. "Survey of Cybersecurity Governance, Threats, and Countermeasures for the Power Grid," Energies, MDPI, vol. 15(22), pages 1-22, November.
    7. Ma, Shuyang & Li, Yan & Du, Liang & Wu, Jianzhong & Zhou, Yue & Zhang, Yichen & Xu, Tao, 2022. "Programmable intrusion detection for distributed energy resources in cyber–physical networked microgrids," Applied Energy, Elsevier, vol. 306(PB).
    8. Ahmed H. Okilly & Namhun Kim & Jonghyuk Lee & Yegu Kang & Jeihoon Baek, 2023. "Development of a Smart Static Transfer Switch Based on a Triac Semiconductor for AC Power Switching Control," Energies, MDPI, vol. 16(1), pages 1-16, January.

    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:16:y:2023:i:9:p:3733-:d:1134001. 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.