IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i8p2251-d537892.html
   My bibliography  Save this article

Energetic Performances Booster for Electric Vehicle Applications Using Transient Power Control and Supercapacitors-Batteries/Fuel Cell

Author

Listed:
  • Ismail Oukkacha

    (GREAH Laboratory, University of Le Havre Normandie, 75 Rue Bellot, 76600 Le Havre, France)

  • Cheikh Tidiane Sarr

    (GREAH Laboratory, University of Le Havre Normandie, 75 Rue Bellot, 76600 Le Havre, France)

  • Mamadou Baïlo Camara

    (GREAH Laboratory, University of Le Havre Normandie, 75 Rue Bellot, 76600 Le Havre, France)

  • Brayima Dakyo

    (GREAH Laboratory, University of Le Havre Normandie, 75 Rue Bellot, 76600 Le Havre, France)

  • Jean Yves Parédé

    (GREAH Laboratory, University of Le Havre Normandie, 75 Rue Bellot, 76600 Le Havre, France)

Abstract

In this paper, a hybrid electric power supply system for an electric vehicle (EV) is investigated. The study aims to reduce electric stress on the main energy source (fuel cell) and boost energetic performances using energy sources with high specific power (supercapacitors, batteries) for rapid traction chain solicitations such as accelerations, decelerations, and braking operations. The multisource EV power supply system contains a fuel cell stack, a lithium batteries module, and a supercapacitors (Sc) pack. In order to emulate the EV energy demand (wheels, weight, external forces, etc.), a bidirectional load based on a reversible current DC-DC converter was used. Fuel cell (Fc) stack was interfaced by an interleaved boost converter. Batteries and the Sc pack were coupled to the DC point of coupling via buck/boost converters. Paper contribution was firstly concentrated on the distribution of energy and power between onboard energy sources in consonance with their dynamic characteristics (time response). Second contribution was based on a new Sc model, which takes into consideration the temperature and the DC current ripples frequency until 1000 Hz. Energy management strategy (EMS) was evaluated by simulations and reduced scale experimental tests. The used driving cycle was the US Federal Test Procedure known as FTP-75.

Suggested Citation

  • Ismail Oukkacha & Cheikh Tidiane Sarr & Mamadou Baïlo Camara & Brayima Dakyo & Jean Yves Parédé, 2021. "Energetic Performances Booster for Electric Vehicle Applications Using Transient Power Control and Supercapacitors-Batteries/Fuel Cell," Energies, MDPI, vol. 14(8), pages 1-22, April.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2251-:d:537892
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/8/2251/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/8/2251/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jamila Snoussi & Seifeddine Ben Elghali & Mohamed Benbouzid & Mohamed Faouzi Mimouni, 2018. "Auto-Adaptive Filtering-Based Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles," Energies, MDPI, vol. 11(8), pages 1-20, August.
    2. José Luis Sampietro & Vicenç Puig & Ramon Costa-Castelló, 2019. "Optimal Sizing of Storage Elements for a Vehicle Based on Fuel Cells, Supercapacitors, and Batteries," Energies, MDPI, vol. 12(5), pages 1-27, March.
    3. Salsabil Gherairi, 2019. "Hybrid Electric Vehicle: Design and Control of a Hybrid System (Fuel Cell/Battery/Ultra-Capacitor) Supplied by Hydrogen," Energies, MDPI, vol. 12(7), pages 1-19, April.
    4. Ahmed M. Nassef & Ahmed Fathy & Hegazy Rezk, 2019. "An Effective Energy Management Strategy Based on Mine-Blast Optimization Technique Applied to Hybrid PEMFC/Supercapacitor/Batteries System," Energies, MDPI, vol. 12(19), pages 1-16, October.
    5. Huang, Yanjun & Wang, Hong & Khajepour, Amir & Li, Bin & Ji, Jie & Zhao, Kegang & Hu, Chuan, 2018. "A review of power management strategies and component sizing methods for hybrid vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 132-144.
    6. Farouk Odeim & Jürgen Roes & Angelika Heinzel, 2015. "Power Management Optimization of an Experimental Fuel Cell/Battery/Supercapacitor Hybrid System," Energies, MDPI, vol. 8(7), pages 1-26, June.
    7. Ioan-Sorin Sorlei & Nicu Bizon & Phatiphat Thounthong & Mihai Varlam & Elena Carcadea & Mihai Culcer & Mariana Iliescu & Mircea Raceanu, 2021. "Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies," Energies, MDPI, vol. 14(1), pages 1-29, January.
    8. Muhammad Saqib Nazir & Iftikhar Ahmad & Muhammad Jawad Khan & Yasar Ayaz & Hammad Armghan, 2020. "Adaptive Control of Fuel Cell and Supercapacitor Based Hybrid Electric Vehicles," Energies, MDPI, vol. 13(21), pages 1-21, October.
    9. Hossain, M.Z. & Rahim, N.A. & Selvaraj, Jeyraj a/l, 2018. "Recent progress and development on power DC-DC converter topology, control, design and applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 205-230.
    10. Sadam Hussain & Muhammad Umair Ali & Gwan-Soo Park & Sarvar Hussain Nengroo & Muhammad Adil Khan & Hee-Je Kim, 2019. "A Real-Time Bi-Adaptive Controller-Based Energy Management System for Battery–Supercapacitor Hybrid Electric Vehicles," Energies, MDPI, vol. 12(24), pages 1-24, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Awab Baqar & Mamadou Baïlo Camara & Brayima Dakyo, 2022. "Energy Management in the Multi-Source Systems," Energies, MDPI, vol. 15(8), pages 1-4, April.
    2. Yibo Deng & Chushan Li & Yan Deng & Ting Chen & Shaoyu Feng & Yujie Chu & Chengmin Li, 2023. "Energy Efficiency Optimization of Collaborative Power Supply System with Supercapacitor Storages," Energies, MDPI, vol. 16(3), pages 1-15, January.

    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. Mamadou Baïlo Camara & Brayima Dakyo, 2023. "Coordinated Control of the Hybrid Electric Ship Power-Based Batteries/Supercapacitors/Variable Speed Diesel Generator," Energies, MDPI, vol. 16(18), pages 1-20, September.
    2. Ahmed Al Amerl & Ismail Oukkacha & Mamadou Baïlo Camara & Brayima Dakyo, 2021. "Real-Time Control Strategy of Fuel Cell and Battery System for Electric Hybrid Boat Application," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    3. Mojgan Fayyazi & Paramjotsingh Sardar & Sumit Infent Thomas & Roonak Daghigh & Ali Jamali & Thomas Esch & Hans Kemper & Reza Langari & Hamid Khayyam, 2023. "Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles," Sustainability, MDPI, vol. 15(6), pages 1-38, March.
    4. Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2020. "A Refined Loss Evaluation of a Three-Switch Double Input DC-DC Converter for Hybrid Vehicle Applications," Energies, MDPI, vol. 13(1), pages 1-13, January.
    5. Ioan-Sorin Sorlei & Nicu Bizon & Phatiphat Thounthong & Mihai Varlam & Elena Carcadea & Mihai Culcer & Mariana Iliescu & Mircea Raceanu, 2021. "Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies," Energies, MDPI, vol. 14(1), pages 1-29, January.
    6. Balali, Yasaman & Stegen, Sascha, 2021. "Review of energy storage systems for vehicles based on technology, environmental impacts, and costs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    7. Giuseppe De Lorenzo & Raffaele Giuseppe Agostino & Petronilla Fragiacomo, 2022. "Dynamic Electric Simulation Model of a Proton Exchange Membrane Electrolyzer System for Hydrogen Production," Energies, MDPI, vol. 15(17), pages 1-15, September.
    8. Mohsen Kandidayeni & Alvaro Macias & Loïc Boulon & João Pedro F. Trovão, 2020. "Online Modeling of a Fuel Cell System for an Energy Management Strategy Design," Energies, MDPI, vol. 13(14), pages 1-17, July.
    9. Nicu Bizon & Valentin Alexandru Stan & Angel Ciprian Cormos, 2019. "Optimization of the Fuel Cell Renewable Hybrid Power System Using the Control Mode of the Required Load Power on the DC Bus," Energies, MDPI, vol. 12(10), pages 1-15, May.
    10. Emanuele Fedele & Luigi Pio Di Noia & Renato Rizzo, 2023. "Simple Loss Model of Battery Cables for Fast Transient Thermal Simulation," Energies, MDPI, vol. 16(7), pages 1-13, March.
    11. Li, Tianyu & Liu, Huiying & Wang, Hui & Yao, Yongming, 2020. "Hierarchical predictive control-based economic energy management for fuel cell hybrid construction vehicles," Energy, Elsevier, vol. 198(C).
    12. Mpho J. Lencwe & Shyama P. Chowdhury & Thomas O. Olwal, 2018. "A Multi-Stage Approach to a Hybrid Lead Acid Battery and Supercapacitor System for Transport Vehicles," Energies, MDPI, vol. 11(11), pages 1-16, October.
    13. Das, Himadry Shekhar & Tan, Chee Wei & Yatim, A.H.M., 2017. "Fuel cell hybrid electric vehicles: A review on power conditioning units and topologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 268-291.
    14. Arkadiusz Adamczyk, 2020. "Sizing and Control Algorithms of a Hybrid Energy Storage System Based on Fuel Cells," Energies, MDPI, vol. 13(19), pages 1-15, October.
    15. Chitchai Srithapon & Prasanta Ghosh & Apirat Siritaratiwat & Rongrit Chatthaworn, 2020. "Optimization of Electric Vehicle Charging Scheduling in Urban Village Networks Considering Energy Arbitrage and Distribution Cost," Energies, MDPI, vol. 13(2), pages 1-20, January.
    16. Amir, Asim & Amir, Aamir & Che, Hang Seng & Elkhateb, Ahmad & Rahim, Nasrudin Abd, 2019. "Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems," Renewable Energy, Elsevier, vol. 136(C), pages 1147-1163.
    17. Hossein Shayeghi & Ali Seifi & Majid Hosseinpour & Nicu Bizon, 2022. "Developing a Generalized Multi-Level Inverter with Reduced Number of Power Electronics Components," Sustainability, MDPI, vol. 14(9), pages 1-20, May.
    18. Ren, Danhong & Li, Xuan & Zhao, Xinhao & Liu, Baocheng & Yang, Zhengchun & He, Jie & Li, Tong & Pan, Peng, 2022. "Development and evaluation of Zn2+ ions hybrid supercapacitor based on ZnxMnO2-CNTs cathode," Applied Energy, Elsevier, vol. 324(C).
    19. Guo, Hongqiang & Hou, Daizheng & Du, Shangye & Zhao, Ling & Wu, Jian & Yan, Ning, 2020. "A driving pattern recognition-based energy management for plug-in hybrid electric bus to counter the noise of stochastic vehicle mass," Energy, Elsevier, vol. 198(C).
    20. Zhiwen Zhang & Jie Tang & Jiyuan Zhang & Tianci Zhang, 2024. "Research on Energy Hierarchical Management and Optimal Control of Compound Power Electric Vehicle," Energies, MDPI, vol. 17(6), pages 1-22, March.

    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:8:p:2251-:d:537892. 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.