IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i18p6753-d916177.html
   My bibliography  Save this article

Modeling of Fuel Cells Characteristics in Relation to Real Driving Conditions of FCHEV Vehicles

Author

Listed:
  • Ireneusz Pielecha

    (Faculty of Civil and Transport Engineering, Poznan University of Technology, ul. Piotrowo 3, 60-965 Poznan, Poland)

Abstract

Fuel cells are one of the zero-emission elements of modern automotive drive systems. This article presents theoretical identification of the component parameters of indicators for the fuel cell operating conditions. Activation, ohmic, and mass transport losses were identified. Current–voltage characteristics were provided along with an analysis of typical cell losses. The actual performance characteristics of fuel cells were analyzed for Toyota Mirai I and II generation vehicles. The fuel cells operating conditions were derived and analyzed in the context of real driving conditions. Therefore, urban, rural, and motorway conditions were used. The vehicles were equipped with PEM fuel cells supplying power equal to 114 kW (1st gen.) or 128 kW (2nd gen.). The average fuel cell stack power values depend on the driving conditions: urban (about 10 kW), rural (20 kW) and motorway (about 30–40 kW) driving modes. The different power ratings of fuel cells combined with different battery generations resulted in a variation in the cells operating conditions. Analyses conducted in various traffic conditions indicated the possibility of determining losses related to the fuel cells. The analysis of fuel cell losses shows the greatest values for activation losses when the cells are under high load (for both generations)—i.e., in motorway driving conditions. The voltage of resistive losses reached its maximum in urban driving conditions when the load on the fuel cells was small.

Suggested Citation

  • Ireneusz Pielecha, 2022. "Modeling of Fuel Cells Characteristics in Relation to Real Driving Conditions of FCHEV Vehicles," Energies, MDPI, vol. 15(18), pages 1-18, September.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6753-:d:916177
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/18/6753/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/18/6753/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Monika Andrych-Zalewska & Zdzislaw Chlopek & Jerzy Merkisz & Jacek Pielecha, 2021. "Research on Exhaust Emissions in Dynamic Operating States of a Combustion Engine in a Real Driving Emissions Test," Energies, MDPI, vol. 14(18), pages 1-15, September.
    2. Ireneusz Pielecha & Andrzej Szałek & Grzegorz Tchorek, 2022. "Two Generations of Hydrogen Powertrain—An Analysis of the Operational Indicators in Real Driving Conditions (RDC)," Energies, MDPI, vol. 15(13), pages 1-20, June.
    3. Wei Zhang & Jixin Wang & Shaofeng Du & Hongfeng Ma & Wenjun Zhao & Haojie Li, 2019. "Energy Management Strategies for Hybrid Construction Machinery: Evolution, Classification, Comparison and Future Trends," Energies, MDPI, vol. 12(10), pages 1-26, May.
    4. Jacek Pielecha & Kinga Skobiej & Karolina Kurtyka, 2020. "Exhaust Emissions and Energy Consumption Analysis of Conventional, Hybrid, and Electric Vehicles in Real Driving Cycles," Energies, MDPI, vol. 13(23), pages 1-21, December.
    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. Slavin Viktor & Shuba Yevheniy & Caban Jacek & Matijosius Jonas & Rimkus Alfredas & Korpach Anatolii & Gutarevych Serhiy, 2022. "The Performance of a Car with Various Engine Power Systems – Part II," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 13(1), pages 141-151, January.
    2. Zhang, Wei & Wang, Jixin & Liu, Yong & Gao, Guangzong & Liang, Siwen & Ma, Hongfeng, 2020. "Reinforcement learning-based intelligent energy management architecture for hybrid construction machinery," Applied Energy, Elsevier, vol. 275(C).
    3. Michael Bohm & Josef Stetina & David Svida, 2022. "Exhaust Gas Temperature Pulsations of a Gasoline Engine and Its Stabilization Using Thermal Energy Storage System to Reduce Emissions," Energies, MDPI, vol. 15(7), pages 1-16, March.
    4. Manfred Dollinger & Gerhard Fischerauer, 2023. "Physics-Based Prediction for the Consumption and Emissions of Passenger Vehicles and Light Trucks up to 2050," Energies, MDPI, vol. 16(8), pages 1-29, April.
    5. Jacek Pielecha & Kinga Skobiej & Przemyslaw Kubiak & Marek Wozniak & Krzysztof Siczek, 2022. "Exhaust Emissions from Plug-in and HEV Vehicles in Type-Approval Tests and Real Driving Cycles," Energies, MDPI, vol. 15(7), pages 1-38, March.
    6. Mariusz Izdebski & Marianna Jacyna, 2021. "An Efficient Hybrid Algorithm for Energy Expenditure Estimation for Electric Vehicles in Urban Service Enterprises," Energies, MDPI, vol. 14(7), pages 1-23, April.
    7. Chi Zhang & Binyue Xu & Jasronita Jasni & Mohd Amran Mohd Radzi & Norhafiz Azis & Qi Zhang, 2023. "Three Voltage Vector Duty Cycle Optimization Strategy of the Permanent Magnet Synchronous Motor Driving System for New Energy Electric Vehicles Based on Finite Set Model Predictive Control," Energies, MDPI, vol. 16(6), pages 1-18, March.
    8. Wojciech Gis & Maciej Gis & Jacek Pielecha & Kinga Skobiej, 2021. "Alternative Exhaust Emission Factors from Vehicles in On-Road Driving Tests," Energies, MDPI, vol. 14(12), pages 1-23, June.
    9. Piotr Pryciński & Róża Wawryszczuk & Jarosław Korzeb & Piotr Pielecha, 2023. "Indicator Method for Determining the Emissivity of Road Transport Means from the Point of Supplied Energy," Energies, MDPI, vol. 16(12), pages 1-22, June.
    10. Artur Jaworski & Maksymilian Mądziel & Hubert Kuszewski, 2022. "Sustainable Public Transport Strategies—Decomposition of the Bus Fleet and Its Influence on the Decrease in Greenhouse Gas Emissions," Energies, MDPI, vol. 15(6), pages 1-14, March.
    11. Jichao Liu & Yanyan Liang & Zheng Chen & Wenpeng Chen, 2023. "Energy Management Strategies for Hybrid Loaders: Classification, Comparison and Prospect," Energies, MDPI, vol. 16(7), pages 1-23, March.
    12. Wojciech Cieslik & Filip Szwajca & Sławomir Rosolski & Michał Rutkowski & Katarzyna Pietrzak & Jakub Wójtowicz, 2022. "Historical Buildings Potential to Power Urban Electromobility: State-of-the-Art and Future Challenges for Nearly Zero Energy Buildings (nZEB) Microgrids," Energies, MDPI, vol. 15(17), pages 1-23, August.
    13. Andrzej Ziółkowski & Paweł Fuć & Aleks Jagielski & Maciej Bednarek, 2022. "Analysis of Emissions and Fuel Consumption in Freight Transport," Energies, MDPI, vol. 15(13), pages 1-14, June.
    14. Kinga Skobiej & Jacek Pielecha, 2021. "Plug-in Hybrid Ecological Category in Real Driving Emissions," Energies, MDPI, vol. 14(8), pages 1-25, April.
    15. Sebastian Grzesiak & Adam Sulich, 2022. "Car Engines Comparative Analysis: Sustainable Approach," Energies, MDPI, vol. 15(14), pages 1-15, July.
    16. Jarosław Mamala & Michał Śmieja & Krzysztof Prażnowski, 2021. "Analysis of the Total Unit Energy Consumption of a Car with a Hybrid Drive System in Real Operating Conditions," Energies, MDPI, vol. 14(13), pages 1-16, July.
    17. Wojciech Cieslik & Filip Szwajca & Wojciech Golimowski & Andrew Berger, 2021. "Experimental Analysis of Residential Photovoltaic (PV) and Electric Vehicle (EV) Systems in Terms of Annual Energy Utilization," Energies, MDPI, vol. 14(4), pages 1-21, February.
    18. Manfred Dollinger & Gerhard Fischerauer, 2021. "Model-Based Range Prediction for Electric Cars and Trucks under Real-World Conditions," Energies, MDPI, vol. 14(18), pages 1-27, September.
    19. Xu, Nan & Kong, Yan & Yan, Jinyue & Zhang, Yuanjian & Sui, Yan & Ju, Hao & Liu, Heng & Xu, Zhe, 2022. "Global optimization energy management for multi-energy source vehicles based on “Information layer - Physical layer - Energy layer - Dynamic programming” (IPE-DP)," Applied Energy, Elsevier, vol. 312(C).
    20. Adrian Chmielewski & Piotr Piórkowski & Jakub Możaryn & Stepan Ozana, 2023. "Sustainable Development of Operational Infrastructure for Electric Vehicles: A Case Study for Poland," Energies, MDPI, vol. 16(11), pages 1-43, June.

    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:15:y:2022:i:18:p:6753-:d:916177. 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.