IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i16p4340-d1724726.html
   My bibliography  Save this article

Enhancing Fuel Cell Hybrid Electric Vehicle Energy Management with Real-Time LSTM Speed Prediction

Author

Listed:
  • Matthieu Matignon

    (ESTACA, ESTACA’Lab–Paris-Saclay, 78180 Montigny-le-Bretonneux, France)

  • Mehdi Mcharek

    (ESTACA, ESTACA’Lab–Paris-Saclay, 78180 Montigny-le-Bretonneux, France)

  • Toufik Azib

    (ESTACA, ESTACA’Lab–Paris-Saclay, 78180 Montigny-le-Bretonneux, France)

  • Ahmed Chaibet

    (DRIVE Nevers, Université de Bourgogne, 58027 Nevers, France)

Abstract

This paper presents an innovative approach to optimize real-time energy management in fuel cell electric vehicles (FCEVs) through an integrated EMS (iEMS) framework based on a nested concept. Central to our method are two LSTM-based speed prediction models, trained and validated on open-source datasets to enhance adaptability and efficiency. The first model, trained on a 27 h real-time database, is embedded within the iEMS for dynamic real-time operation. The second model assesses the impact of incorporating external traffic data on the prediction accuracy, offering a systematic approach to refining speed prediction models. The results demonstrate significant improvements in fuel efficiency and overall performance compared to existing models. This study highlights the promise of data-driven AI models in next-generation FCEV energy management, contributing to smarter and more sustainable mobility solutions.

Suggested Citation

  • Matthieu Matignon & Mehdi Mcharek & Toufik Azib & Ahmed Chaibet, 2025. "Enhancing Fuel Cell Hybrid Electric Vehicle Energy Management with Real-Time LSTM Speed Prediction," Energies, MDPI, vol. 18(16), pages 1-16, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:16:p:4340-:d:1724726
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/16/4340/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/16/4340/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jakov Topić & Branimir Škugor & Joško Deur, 2022. "Receding-Horizon Prediction of Vehicle Velocity Profile Using Deterministic and Stochastic Deep Neural Network Models," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    2. Andrzej Szałek & Ireneusz Pielecha & Wojciech Cieslik, 2021. "Fuel Cell Electric Vehicle (FCEV) Energy Flow Analysis in Real Driving Conditions (RDC)," Energies, MDPI, vol. 14(16), pages 1-17, August.
    3. Xuan Meng & Jian Mei & Xingwang Tang & Jinhai Jiang & Chuanyu Sun & Kai Song, 2024. "The Degradation Prediction of Proton Exchange Membrane Fuel Cell Performance Based on a Transformer Model," Energies, MDPI, vol. 17(12), pages 1-13, June.
    4. Tomasz Ciechulski & Stanisław Osowski, 2021. "High Precision LSTM Model for Short-Time Load Forecasting in Power Systems," Energies, MDPI, vol. 14(11), pages 1-15, May.
    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. Vijai Kaarthi Visvanathan & Karthikeyan Palaniswamy & Dineshkumar Ponnaiyan & Mathan Chandran & Thanarajan Kumaresan & Jegathishkumar Ramasamy & Senthilarasu Sundaram, 2023. "Fuel Cell Products for Sustainable Transportation and Stationary Power Generation: Review on Market Perspective," Energies, MDPI, vol. 16(6), pages 1-21, 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. Victor Mercier & Adriano Ceschia & Toufik Azib & Cherif Larouci, 2023. "Pre-Sizing Approach of a Fuel Cell-Battery Hybrid Power System with Interleaved Converters," Energies, MDPI, vol. 16(10), pages 1-21, May.
    2. 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.
    3. Li, Menglin & Yin, Long & Yan, Mei & Wu, Jingda & He, Hongwe & Jia, Chunchun, 2024. "Hierarchical intelligent energy-saving control strategy for fuel cell hybrid electric buses based on traffic flow predictions," Energy, Elsevier, vol. 304(C).
    4. Togun, Hussein & Basem, Ali & Abdulrazzaq, Tuqa & Biswas, Nirmalendu & Abed, Azher M. & dhabab, Jameel M. & Chattopadhyay, Anirban & Slimi, Khalifa & Paul, Dipankar & Barmavatu, Praveen & Chrouda, Ama, 2025. "Development and comparative analysis between battery electric vehicles (BEV) and fuel cell electric vehicles (FCEV)," Applied Energy, Elsevier, vol. 388(C).
    5. 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.
    6. Beata Kurc & Xymena Gross & Natalia Szymlet & Łukasz Rymaniak & Krystian Woźniak & Marita Pigłowska, 2024. "Hydrogen-Powered Vehicles: A Paradigm Shift in Sustainable Transportation," Energies, MDPI, vol. 17(19), pages 1-38, September.
    7. Basem E. Elnaghi & M. N. Abelwhab & Ahmed M. Ismaiel & Reham H. Mohammed, 2023. "Solar Hydrogen Variable Speed Control of Induction Motor Based on Chaotic Billiards Optimization Technique," Energies, MDPI, vol. 16(3), pages 1-33, January.
    8. Georgios Varvoutis & Athanasios Lampropoulos & Evridiki Mandela & Michalis Konsolakis & George E. Marnellos, 2022. "Recent Advances on CO 2 Mitigation Technologies: On the Role of Hydrogenation Route via Green H 2," Energies, MDPI, vol. 15(13), pages 1-38, June.
    9. Md Jamal Ahmed Shohan & Md Omar Faruque & Simon Y. Foo, 2022. "Forecasting of Electric Load Using a Hybrid LSTM-Neural Prophet Model," Energies, MDPI, vol. 15(6), pages 1-18, March.
    10. Costa, C.M. & Barbosa, J.C. & Castro, H. & Gonçalves, R. & Lanceros-Méndez, S., 2021. "Electric vehicles: To what extent are environmentally friendly and cost effective? – Comparative study by european countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    11. Katarzyna Turoń, 2022. "Multi-Criteria Decision Analysis during Selection of Vehicles for Car-Sharing Services—Regular Users’ Expectations," Energies, MDPI, vol. 15(19), pages 1-15, October.
    12. Zhang, Tong & Qadrdan, Meysam & Wu, Jianzhong & Couraud, Benoit & Stringer, Martin & Walker, Sara & Hawkes, Adam & Allahham, Adib & Flynn, David & Pudjianto, Danny & Dodds, Paul & Strbac, Goran, 2025. "A systematic review of modelling methods for studying the integration of hydrogen into energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 208(C).
    13. Damien Guilbert & Gianpaolo Vitale, 2021. "Hydrogen as a Clean and Sustainable Energy Vector for Global Transition from Fossil-Based to Zero-Carbon," Clean Technol., MDPI, vol. 3(4), pages 1-29, December.
    14. Enyong Xu & Mengcheng Ma & Weiguang Zheng & Qibai Huang, 2023. "An Energy Management Strategy for Fuel-Cell Hybrid Commercial Vehicles Based on Adaptive Model Prediction," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    15. Jong-Wook Kim & Heungju Ahn & Hyeon Cheol Seo & Sang Cheol Lee, 2022. "Optimization of Solar/Fuel Cell Hybrid Energy System Using the Combinatorial Dynamic Encoding Algorithm for Searches (cDEAS)," Energies, MDPI, vol. 15(8), pages 1-15, April.
    16. Matthieu Matignon & Toufik Azib & Mehdi Mcharek & Ahmed Chaibet & Adriano Ceschia, 2023. "Real-Time Integrated Energy Management Strategy Applied to Fuel Cell Hybrid Systems," Energies, MDPI, vol. 16(6), pages 1-21, March.
    17. Abdulgader Alsharif & Chee Wei Tan & Razman Ayop & Ahmed Al Smin & Abdussalam Ali Ahmed & Farag Hamed Kuwil & Mohamed Mohamed Khaleel, 2023. "Impact of Electric Vehicle on Residential Power Distribution Considering Energy Management Strategy and Stochastic Monte Carlo Algorithm," Energies, MDPI, vol. 16(3), pages 1-22, January.
    18. Suiling Wang & Zhiqiang Jiang & Hairong Zhang, 2022. "Correction of Reservoir Runoff Forecast Based on Multi-scenario Division and Multi Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 5277-5296, October.
    19. Shantanu Pardhi & Sajib Chakraborty & Dai-Duong Tran & Mohamed El Baghdadi & Steven Wilkins & Omar Hegazy, 2022. "A Review of Fuel Cell Powertrains for Long-Haul Heavy-Duty Vehicles: Technology, Hydrogen, Energy and Thermal Management Solutions," Energies, MDPI, vol. 15(24), pages 1-55, December.
    20. Stanislaw Osowski & Robert Szmurlo & Krzysztof Siwek & Tomasz Ciechulski, 2022. "Neural Approaches to Short-Time Load Forecasting in Power Systems—A Comparative Study," Energies, MDPI, vol. 15(9), pages 1-21, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:18:y:2025:i:16:p:4340-:d:1724726. 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.