IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v229y2024ics0960148124007766.html
   My bibliography  Save this article

A new configuration for enhanced integration of a battery–ultracapacitor system

Author

Listed:
  • P., Naresh
  • N., Sai Vinay Kishore
  • V., Seshadri Sravan Kumar

Abstract

The principal shortcoming of the batteries in electric vehicles is their limited specific power. The potential solution is having a hybrid energy storage system (HESS) that integrates the ultracapacitor (high specific energy) with the battery (high specific energy), thus ensuring high specific energy and power. Classically, a bidirectional DC–DC converter integrates the two sources, but the converter introduces a delay during the charging–discharging transition of the ultracapacitor. This work proposes a novel converter topology that interfaces the two sources, eliminating an existing transition delay, providing a fault-tolerant operation in case of a switch failure, and efficiently charging the ultracapacitor. Additionally, an algorithm is presented that facilitates energy sharing between the battery and the ultracapacitor, preventing overloading of the battery and ensuring that the ultracapacitor contributes to the peak load demand. The proposed configuration and energy management algorithm are validated experimentally using a 24V laboratory prototype.

Suggested Citation

  • P., Naresh & N., Sai Vinay Kishore & V., Seshadri Sravan Kumar, 2024. "A new configuration for enhanced integration of a battery–ultracapacitor system," Renewable Energy, Elsevier, vol. 229(C).
    • Handle: RePEc:eee:renene:v:229:y:2024:i:c:s0960148124007766
    DOI: 10.1016/j.renene.2024.120708
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124007766
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.120708?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhu, Tao & Wills, Richard G.A. & Lot, Roberto & Kong, Xiaodan & Yan, Xingda, 2021. "Optimal sizing and sensitivity analysis of a battery-supercapacitor energy storage system for electric vehicles," Energy, Elsevier, vol. 221(C).
    2. Büyük, Mehmet & İnci, Mustafa, 2023. "Improved drift-free P&O MPPT method to enhance energy harvesting capability for dynamic operating conditions of fuel cells," Energy, Elsevier, vol. 267(C).
    3. Kuperman, Alon & Aharon, Ilan, 2011. "Battery-ultracapacitor hybrids for pulsed current loads: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 981-992, February.
    4. Min-Fu Hsieh & Po-Hsun Chen & Fu-Sheng Pai & Rui-Yang Weng, 2021. "Development of Supercapacitor-Aided Hybrid Energy Storage System to Enhance Battery Life Cycle of Electric Vehicles," Sustainability, MDPI, vol. 13(14), pages 1-13, July.
    5. Shan, Rui & Reagan, Jeremiah & Castellanos, Sergio & Kurtz, Sarah & Kittner, Noah, 2022. "Evaluating emerging long-duration energy storage technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    6. Zhang, Cong & Greenblatt, Jeffery B. & MacDougall, Pamela & Saxena, Samveg & Jayam Prabhakar, Aditya, 2020. "Quantifying the benefits of electric vehicles on the future electricity grid in the midwestern United States," Applied Energy, Elsevier, vol. 270(C).
    7. Xu, Bin & Shi, Junzhe & Li, Sixu & Li, Huayi & Wang, Zhe, 2021. "Energy consumption and battery aging minimization using a Q-learning strategy for a battery/ultracapacitor electric vehicle," Energy, Elsevier, vol. 229(C).
    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. Dong, Ao & Ma, Ruifei & Deng, Yelin, 2023. "Optimization on charging of the direct hybrid lithium-ion battery and supercapacitor for high power application through resistance balancing," Energy, Elsevier, vol. 273(C).
    2. Francesco Lo Franco & Mattia Ricco & Riccardo Mandrioli & Gabriele Grandi, 2020. "Electric Vehicle Aggregate Power Flow Prediction and Smart Charging System for Distributed Renewable Energy Self-Consumption Optimization," Energies, MDPI, vol. 13(19), pages 1-25, September.
    3. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    4. Youssef Amry & Elhoussin Elbouchikhi & Franck Le Gall & Mounir Ghogho & Soumia El Hani, 2022. "Electric Vehicle Traction Drives and Charging Station Power Electronics: Current Status and Challenges," Energies, MDPI, vol. 15(16), pages 1-30, August.
    5. Muhammad Khalid, 2019. "A Review on the Selected Applications of Battery-Supercapacitor Hybrid Energy Storage Systems for Microgrids," Energies, MDPI, vol. 12(23), pages 1-34, November.
    6. Zhu, Tao & Wills, Richard G.A. & Lot, Roberto & Ruan, Haijun & Jiang, Zhihao, 2021. "Adaptive energy management of a battery-supercapacitor energy storage system for electric vehicles based on flexible perception and neural network fitting," Applied Energy, Elsevier, vol. 292(C).
    7. Pedrayes, Joaquín F. & Melero, Manuel G. & Cano, Jose M. & Norniella, Joaquín G. & Duque, Salvador B. & Rojas, Carlos H. & Orcajo, Gonzalo A., 2021. "Lambert W function based closed-form expressions of supercapacitor electrical variables in constant power applications," Energy, Elsevier, vol. 218(C).
    8. Tarroja, Brian & Hittinger, Eric, 2021. "The value of consumer acceptance of controlled electric vehicle charging in a decarbonizing grid: The case of California," Energy, Elsevier, vol. 229(C).
    9. Tassi, Francesco & Kittner, Noah, 2024. "Repurposing coal plants—regional economic impacts from low carbon generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    10. Sheha, Moataz & Mohammadi, Kasra & Powell, Kody, 2021. "Techno-economic analysis of the impact of dynamic electricity prices on solar penetration in a smart grid environment with distributed energy storage," Applied Energy, Elsevier, vol. 282(PA).
    11. Kim, Dong-Min & Lee, Soo-Gyung & Kim, Dae-Kee & Park, Min-Ro & Lim, Myung-Seop, 2022. "Sizing and optimization process of hybrid electric propulsion system for heavy-duty vehicle based on Gaussian process modeling considering traction motor characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    12. Sorknæs, Peter & Thellufsen, Jakob Zinck & Knobloch, Kai & Engelbrecht, Kurt & Yuan, Meng, 2023. "Economic potentials of carnot batteries in 100% renewable energy systems," Energy, Elsevier, vol. 282(C).
    13. Jing, Wenlong & Lai, Chean Hung & Wong, Wallace S.H. & Wong, M.L. Dennis, 2018. "A comprehensive study of battery-supercapacitor hybrid energy storage system for standalone PV power system in rural electrification," Applied Energy, Elsevier, vol. 224(C), pages 340-356.
    14. Andrea Di Martino & Seyed Mahdi Miraftabzadeh & Michela Longo, 2022. "Strategies for the Modelisation of Electric Vehicle Energy Consumption: A Review," Energies, MDPI, vol. 15(21), pages 1-20, October.
    15. Daniel F. Salas & Warren B. Powell, 2018. "Benchmarking a Scalable Approximate Dynamic Programming Algorithm for Stochastic Control of Grid-Level Energy Storage," INFORMS Journal on Computing, INFORMS, vol. 30(1), pages 106-123, February.
    16. Caulfield, Brian & Furszyfer, Dylan & Stefaniec, Agnieszka & Foley, Aoife, 2022. "Measuring the equity impacts of government subsidies for electric vehicles," Energy, Elsevier, vol. 248(C).
    17. Abdellatif Soussi & Enrico Zero & Alessandro Bozzi & Roberto Sacile, 2024. "Enhancing Energy Systems and Rural Communities through a System of Systems Approach: A Comprehensive Review," Energies, MDPI, vol. 17(19), pages 1-43, October.
    18. Mokesioluwa Fanoro & Mladen Božanić & Saurabh Sinha, 2022. "A Review of the Impact of Battery Degradation on Energy Management Systems with a Special Emphasis on Electric Vehicles," Energies, MDPI, vol. 15(16), pages 1-29, August.
    19. Xu, X.M. & He, R., 2014. "Review on the heat dissipation performance of battery pack with different structures and operation conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 301-315.
    20. Bizon, Nicu, 2013. "Energy harvesting from the PV Hybrid Power Source," Energy, Elsevier, vol. 52(C), pages 297-307.

    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:eee:renene:v:229:y:2024:i:c:s0960148124007766. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.