IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i2p917-d724633.html
   My bibliography  Save this article

Exploring Future Promising Technologies in Hydrogen Fuel Cell Transportation

Author

Listed:
  • Hyewon Yang

    (Department of Industrial and Management Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul 02841, Korea)

  • Young Jae Han

    (Railroad Test & Certification Division, Korea Railroad Research Institute, 176 Cheoldobangmulgwan-ro, Uiwang 16105, Korea)

  • Jiwon Yu

    (Department of Industrial and Management Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul 02841, Korea)

  • Sumi Kim

    (Department of Industrial and Management Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul 02841, Korea)

  • Sugil Lee

    (Smart Electrical and Signaling Division, Korea Railroad Research Institute, 176 Cheoldobangmulgwan-ro, Uiwang 16105, Korea)

  • Gildong Kim

    (Smart Electrical and Signaling Division, Korea Railroad Research Institute, 176 Cheoldobangmulgwan-ro, Uiwang 16105, Korea)

  • Chulung Lee

    (School of Industrial and Management Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul 02841, Korea)

Abstract

The purpose of this research was to derive promising technologies for the transport of hydrogen fuel cells, thereby supporting the development of research and development policy and presenting directions for investment. We also provide researchers with information about technology that will lead the technology field in the future. Hydrogen energy, as the core of carbon neutral and green energy, is a major issue in changing the future industrial structure and national competitive advantage. In this study, we derived promising technology at the core of future hydrogen fuel cell transportation using the published US patent and paper databases (DB). We first performed text mining and data preprocessing and then discovered promising technologies through generative topographic mapping analysis. We analyzed both the patent DB and treatise DB in parallel and compared the results. As a result, two promising technologies were derived from the patent DB analysis, and five were derived from the paper DB analysis.

Suggested Citation

  • Hyewon Yang & Young Jae Han & Jiwon Yu & Sumi Kim & Sugil Lee & Gildong Kim & Chulung Lee, 2022. "Exploring Future Promising Technologies in Hydrogen Fuel Cell Transportation," Sustainability, MDPI, vol. 14(2), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:917-:d:724633
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/2/917/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/2/917/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maik Schneider & Burkhard Schade, 2003. "Innovation Process "Fuel Cell Vehicle": What Strategy Promises To Be Most Successful?," Computing in Economics and Finance 2003 166, Society for Computational Economics.
    2. İnci, Mustafa & Büyük, Mehmet & Demir, Mehmet Hakan & İlbey, Göktürk, 2021. "A review and research on fuel cell electric vehicles: Topologies, power electronic converters, energy management methods, technical challenges, marketing and future aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    3. 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.
    4. Wang, Hanqing & Gaillard, Arnaud & Hissel, Daniel, 2019. "A review of DC/DC converter-based electrochemical impedance spectroscopy for fuel cell electric vehicles," Renewable Energy, Elsevier, vol. 141(C), pages 124-138.
    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. Jongbin Woo & Younghyeon Kim & Sangseok Yu, 2023. "Cooling-System Configurations of a Dual-Stack Fuel-Cell System for Medium-Duty Trucks," Energies, MDPI, vol. 16(5), pages 1-19, February.
    2. Yong-Jae Lee & Young Jae Han & Sang-Soo Kim & Chulung Lee, 2022. "Patent Data Analytics for Technology Forecasting of the Railway Main Transformer," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
    3. Seok Jin Youn & Yong-Jae Lee & Ha-Eun Han & Chang-Woo Lee & Donggyun Sohn & Chulung Lee, 2024. "A Data Analytics and Machine Learning Approach to Develop a Technology Roadmap for Next-Generation Logistics Utilizing Underground Systems," Sustainability, MDPI, vol. 16(15), pages 1-32, August.
    4. Eugeniusz Mokrzycki & Lidia Gawlik, 2024. "The Development of a Green Hydrogen Economy: Review," Energies, MDPI, vol. 17(13), pages 1-29, June.

    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. 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).
    2. 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.
    3. Hao, Xinyang & Salhi, Issam & Laghrouche, Salah & Ait Amirat, Youcef & Djerdir, Abdesslem, 2023. "Multiple inputs multi-phase interleaved boost converter for fuel cell systems applications," Renewable Energy, Elsevier, vol. 204(C), pages 521-531.
    4. 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.
    5. 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.
    6. Aissa Benhammou & Mohammed Amine Hartani & Hamza Tedjini & Hegazy Rezk & Mujahed Al-Dhaifallah, 2023. "Improvement of Autonomy, Efficiency, and Stress of Fuel Cell Hybrid Electric Vehicle System Using Robust Controller," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    7. Ma, Yangyang & Wang, Xueyuan & Yuan, Hao & Chang, Guofeng & Zhu, Jiangong & Dai, Haifeng & Wei, Xuezhe, 2025. "Review of electrochemical impedance spectroscopy in fault diagnosis for proton exchange membrane fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 211(C).
    8. Goudarzian, Alireza & Khosravi, Adel & Raeisi, Heidar Ali, 2020. "Analysis of a step-up dc/dc converter with capability of right-half plane zero cancellation," Renewable Energy, Elsevier, vol. 157(C), pages 1156-1170.
    9. 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.
    10. Ma, Yan & Hu, Fuyuan & Hu, Yunfeng, 2023. "Energy efficiency improvement of intelligent fuel cell/battery hybrid vehicles through an integrated management strategy," Energy, Elsevier, vol. 263(PE).
    11. Antony Plait & Pierre Saenger & David Bouquain, 2024. "Fuel Cell System Modeling Dedicated to Performance Estimation in the Automotive Context," Energies, MDPI, vol. 17(15), pages 1-15, August.
    12. 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.
    13. Chen, Kui & Badji, Abderrezak & Laghrouche, Salah & Djerdir, Abdesslem, 2022. "Polymer electrolyte membrane fuel cells degradation prediction using multi-kernel relevance vector regression and whale optimization algorithm," Applied Energy, Elsevier, vol. 318(C).
    14. 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.
    15. 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.
    16. Junxing, Liu & Chagshi, Liu, 2023. "Reliable and precise determination of energy conversion in fuel cells using an integrable energy model," Renewable Energy, Elsevier, vol. 219(P2).
    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. Zhou, Hongxu & Yu, Zhongwei & Wu, Xiaohua & Fan, Zhanfeng & Yin, Xiaofeng & Zhou, Lingxue, 2023. "Dynamic programming improved online fuzzy power distribution in a demonstration fuel cell hybrid bus," Energy, Elsevier, vol. 284(C).
    19. Wang, Aijia & Wang, Junqi & Zhang, Ruijun & Cao, Shi-Jie, 2024. "Mitigating urban heat and air pollution considering green and transportation infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    20. Yang, Jibin & Chen, Li & Zhang, Bo & Zhang, Han & Chen, Bo & Wu, Xiaohua & Deng, Pengyi & Xu, Xiaohui, 2025. "Remaining useful life prediction for vehicle-oriented PEMFCs based on organic gray neural network considering the influence of dual energy source synergy," Energy, Elsevier, vol. 322(C).

    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:jsusta:v:14:y:2022:i:2:p:917-:d:724633. 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.