IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2023i1p34-d1304233.html
   My bibliography  Save this article

A New Generation of Hydrogen-Fueled Hybrid Propulsion Systems for the Urban Mobility of the Future

Author

Listed:
  • Ivan Arsie

    (Department of Engineering, Università degli Studi di Napoli Parthenope, 80143 Naples, Italy)

  • Michele Battistoni

    (Department of Engineering, Università degli Studi di Perugia, 06125 Perugia, Italy)

  • Pier Paolo Brancaleoni

    (Department of Industrial Engineering, Università degli Studi di Bologna, 40126 Bologna, Italy)

  • Roberto Cipollone

    (Department of Industrial and Information Engineering and Economics, Università dell’Aquila, 67100 L’Aquila, Italy)

  • Enrico Corti

    (Department of Industrial Engineering, Università degli Studi di Bologna, 40126 Bologna, Italy)

  • Davide Di Battista

    (Department of Industrial and Information Engineering and Economics, Università dell’Aquila, 67100 L’Aquila, Italy)

  • Federico Millo

    (Energy Department, Politecnico di Torino, 10129 Turin, Italy)

  • Alessio Occhicone

    (Department of Engineering, Università degli Studi di Napoli Parthenope, 80143 Naples, Italy)

  • Benedetta Peiretti Paradisi

    (Energy Department, Politecnico di Torino, 10129 Turin, Italy)

  • Luciano Rolando

    (Energy Department, Politecnico di Torino, 10129 Turin, Italy)

  • Jacopo Zembi

    (Department of Engineering, Università degli Studi di Perugia, 06125 Perugia, Italy)

Abstract

The H2-ICE project aims at developing, through numerical simulation, a new generation of hybrid powertrains featuring a hydrogen-fueled Internal Combustion Engine (ICE) suitable for 12 m urban buses in order to provide a reliable and cost-effective solution for the abatement of both CO 2 and criteria pollutant emissions. The full exploitation of the potential of such a traction system requires a substantial enhancement of the state of the art since several issues have to be addressed. In particular, the choice of a more suitable fuel injection system and the control of the combustion process are extremely challenging. Firstly, a high-fidelity 3D-CFD model will be exploited to analyze the in-cylinder H2 fuel injection through supersonic flows. Then, after the optimization of the injection and combustion process, a 1D model of the whole engine system will be built and calibrated, allowing the identification of a “sweet spot” in the ultra-lean combustion region, characterized by extremely low NOx emissions and, at the same time, high combustion efficiencies. Moreover, to further enhance the engine efficiency well above 40%, different Waste Heat Recovery (WHR) systems will be carefully scrutinized, including both Organic Rankine Cycle (ORC)-based recovery units as well as electric turbo-compounding. A Selective Catalytic Reduction (SCR) aftertreatment system will be developed to further reduce NOx emissions to near-zero levels. Finally, a dedicated torque-based control strategy for the ICE coupled with the Energy Management Systems (EMSs) of the hybrid powertrain, both optimized by exploiting Vehicle-To-Everything (V2X) connection, allows targeting H2 consumption of 0.1 kg/km. Technologies developed in the H2-ICE project will enhance the know-how necessary to design and build engines and aftertreatment systems for the efficient exploitation of H2 as a fuel, as well as for their integration into hybrid powertrains.

Suggested Citation

  • Ivan Arsie & Michele Battistoni & Pier Paolo Brancaleoni & Roberto Cipollone & Enrico Corti & Davide Di Battista & Federico Millo & Alessio Occhicone & Benedetta Peiretti Paradisi & Luciano Rolando & , 2023. "A New Generation of Hydrogen-Fueled Hybrid Propulsion Systems for the Urban Mobility of the Future," Energies, MDPI, vol. 17(1), pages 1-31, December.
  • Handle: RePEc:gam:jeners:v:17:y:2023:i:1:p:34-:d:1304233
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/1/34/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/1/34/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hegde, Bharatkumar & Ahmed, Qadeer & Rizzoni, Giorgio, 2020. "Velocity and energy trajectory prediction of electrified powertrain for look ahead control," Applied Energy, Elsevier, vol. 279(C).
    2. Millo, Federico & Rolando, Luciano & Fuso, Rocco & Zhao, Jianning, 2015. "Development of a new hybrid bus for urban public transportation," Applied Energy, Elsevier, vol. 157(C), pages 583-594.
    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. Anselma, Pier Giuseppe, 2022. "Computationally efficient evaluation of fuel and electrical energy economy of plug-in hybrid electric vehicles with smooth driving constraints," Applied Energy, Elsevier, vol. 307(C).
    2. Yi, Chenyu & Epureanu, Bogdan I. & Hong, Sung-Kwon & Ge, Tony & Yang, Xiao Guang, 2016. "Modeling, control, and performance of a novel architecture of hybrid electric powertrain system," Applied Energy, Elsevier, vol. 178(C), pages 454-467.
    3. García, Antonio & Monsalve-Serrano, Javier & Martinez-Boggio, Santiago & Zhao, Wenbin & Qian, Yong, 2022. "Intelligent charge compression ignition combustion for range extender medium duty applications," Renewable Energy, Elsevier, vol. 187(C), pages 671-687.
    4. Weiwei Yang & Jiejunyi Liang & Jue Yang & Nong Zhang, 2018. "Investigation of a Novel Coaxial Power-Split Hybrid Powertrain for Mining Trucks," Energies, MDPI, vol. 11(1), pages 1-18, January.
    5. Zhang, Hao & Fan, Qinhao & Liu, Shang & Li, Shengbo Eben & Huang, Jin & Wang, Zhi, 2021. "Hierarchical energy management strategy for plug-in hybrid electric powertrain integrated with dual-mode combustion engine," Applied Energy, Elsevier, vol. 304(C).
    6. Christos Keramydas & Georgios Papadopoulos & Leonidas Ntziachristos & Ting-Shek Lo & Kwok-Lam Ng & Hok-Lai Anson Wong & Carol Ka-Lok Wong, 2018. "Real-World Measurement of Hybrid Buses’ Fuel Consumption and Pollutant Emissions in a Metropolitan Urban Road Network," Energies, MDPI, vol. 11(10), pages 1-16, September.
    7. Gino D’Ovidio & Antonio Ometto & Carlo Villante, 2020. "A Novel Optimal Power Control for a City Transit Hybrid Bus Equipped with a Partitioned Hydrogen Fuel Cell Stack," Energies, MDPI, vol. 13(11), pages 1-15, May.
    8. Meng, Fanxin & Liu, Gengyuan & Yang, Zhifeng & Casazza, Marco & Cui, Shenghui & Ulgiati, Sergio, 2017. "Energy efficiency of urban transportation system in Xiamen, China. An integrated approach," Applied Energy, Elsevier, vol. 186(P2), pages 234-248.
    9. Pierpaolo Polverino & Ivan Arsie & Cesare Pianese, 2021. "Optimal Energy Management for Hybrid Electric Vehicles Based on Dynamic Programming and Receding Horizon," Energies, MDPI, vol. 14(12), pages 1-11, June.
    10. Singh, Somendra Pratap & Hanif, Athar & Ahmed, Qadeer & Meijer, Maarten & Lahti, John, 2022. "Optimal management of electric hotel loads in mild hybrid heavy duty truck," Applied Energy, Elsevier, vol. 326(C).
    11. García, Antonio & Monsalve-Serrano, Javier & Martinez-Boggio, Santiago & Gaillard, Patrick, 2021. "Impact of the hybrid electric architecture on the performance and emissions of a delivery truck with a dual-fuel RCCI engine," Applied Energy, Elsevier, vol. 301(C).
    12. Xylia, Maria & Silveira, Semida, 2018. "The role of charging technologies in upscaling the use of electric buses in public transport: Experiences from demonstration projects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 399-415.
    13. Fabio Bozza & Vincenzo De Bellis & Enrica Malfi & Luigi Teodosio & Daniela Tufano, 2020. "Optimal Calibration Strategy of a Hybrid Electric Vehicle Equipped with an Ultra-Lean Pre-Chamber SI Engine for the Minimization of CO 2 and Pollutant Emissions," Energies, MDPI, vol. 13(15), pages 1-25, August.
    14. Jin, Yue & Yang, Lin & Du, Mao & Qiang, Jiaxi & Li, Jingzhong & Chen, Yuxuan & Tu, Jiayu, 2023. "Two-scale based energy management for connected plug-in hybrid electric vehicles with global optimal energy consumption and state-of-charge trajectory prediction," Energy, Elsevier, vol. 267(C).
    15. Carlo Villante, 2020. "A Procedure for the Derivation of a Schedule-Based Energy-Equivalent Driving Cycle for Urban Buses," Energies, MDPI, vol. 13(3), pages 1-12, January.
    16. Hegde, Bharatkumar & Ahmed, Qadeer & Rizzoni, Giorgio, 2022. "Energy saving analysis in electrified powertrain using look-ahead energy management scheme," Applied Energy, Elsevier, vol. 325(C).

    More about this item

    Keywords

    hydrogen; H2-ICE; decarbonization; public transport;
    All these keywords.

    JEL classification:

    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:17:y:2023:i:1:p:34-:d:1304233. 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.