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Influence of the Main Design Factors on the Optimal Fuel Cell-Based Powertrain Sizing

Author

Listed:
  • Carmen Raga

    (Power Electronics Systems Group, Universidad Carlos III de Madrid, 28911 Leganes, Spain)

  • Andres Barrado

    (Power Electronics Systems Group, Universidad Carlos III de Madrid, 28911 Leganes, Spain)

  • Antonio Lazaro

    (Power Electronics Systems Group, Universidad Carlos III de Madrid, 28911 Leganes, Spain)

  • Alberto Martin-Lozano

    (Power Electronics Systems Group, Universidad Carlos III de Madrid, 28911 Leganes, Spain)

  • Isabel Quesada

    (Power Electronics Systems Group, Universidad Carlos III de Madrid, 28911 Leganes, Spain)

  • Pablo Zumel

    (Power Electronics Systems Group, Universidad Carlos III de Madrid, 28911 Leganes, Spain)

Abstract

The design of the optimal power distribution system (PDS or powertrain) for fuel cell-based vehicles is a complex task due to PDS comprising one or more power converters, several types of secondary energy sources, a fuel cell, several control loops, and protections, among others. The optimized powertrain design tries to minimize the mass, volume, and cost, and also to improve system efficiency, fuel economy (both hydrogen and electricity), and vehicle autonomy. This paper analyzes the influence of four different factors that deeply affect the optimal powertrain design, in particular: the minimum power delivered by the fuel cell, the storage of the recovered energy from the regenerative braking periods, the battery technology, and the maximum battery state-of-charge variation. The analysis of these factors is carried out over a set of 9 different fuel cell-based architectures applied to a light vehicle, and a 10th architecture corresponding to a pure electric vehicle. This analysis provides the knowledge of how these design factors affect the mass, volume, and cost of the optimal power distribution architectures, and how they can be considered in the design.

Suggested Citation

  • Carmen Raga & Andres Barrado & Antonio Lazaro & Alberto Martin-Lozano & Isabel Quesada & Pablo Zumel, 2018. "Influence of the Main Design Factors on the Optimal Fuel Cell-Based Powertrain Sizing," Energies, MDPI, vol. 11(11), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3060-:d:181145
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    References listed on IDEAS

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    1. Claudio Cubito & Federico Millo & Giulio Boccardo & Giuseppe Di Pierro & Biagio Ciuffo & Georgios Fontaras & Simone Serra & Marcos Otura Garcia & Germana Trentadue, 2017. "Impact of Different Driving Cycles and Operating Conditions on CO 2 Emissions and Energy Management Strategies of a Euro-6 Hybrid Electric Vehicle," Energies, MDPI, vol. 10(10), pages 1-18, October.
    2. Feroldi, Diego & Carignano, Mauro, 2016. "Sizing for fuel cell/supercapacitor hybrid vehicles based on stochastic driving cycles," Applied Energy, Elsevier, vol. 183(C), pages 645-658.
    3. Carmen Raga & Andres Barrado & Henry Miniguano & Antonio Lazaro & Isabel Quesada & Alberto Martin-Lozano, 2018. "Analysis and Sizing of Power Distribution Architectures Applied to Fuel Cell Based Vehicles," Energies, MDPI, vol. 11(10), pages 1-30, September.
    4. Hadjipaschalis, Ioannis & Poullikkas, Andreas & Efthimiou, Venizelos, 2009. "Overview of current and future energy storage technologies for electric power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1513-1522, August.
    5. Hu, Xiaosong & Johannesson, Lars & Murgovski, Nikolce & Egardt, Bo, 2015. "Longevity-conscious dimensioning and power management of the hybrid energy storage system in a fuel cell hybrid electric bus," Applied Energy, Elsevier, vol. 137(C), pages 913-924.
    6. Carlos Calderon & Andres Barrado & Alba Rodriguez & Pedro Alou & Antonio Lazaro & Cristina Fernandez & Pablo Zumel, 2018. "General Analysis of Switching Modes in a Dual Active Bridge with Triple Phase Shift Modulation," Energies, MDPI, vol. 11(9), pages 1-23, September.
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    Cited by:

    1. 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.
    2. Olivier Bethoux, 2020. "Hydrogen Fuel Cell Road Vehicles: State of the Art and Perspectives," Energies, MDPI, vol. 13(21), pages 1-28, November.
    3. Xingxing Wang & Peilin Ye & Yujie Zhang & Hongjun Ni & Yelin Deng & Shuaishuai Lv & Yinnan Yuan & Yu Zhu, 2022. "Parameter Optimization Method for Power System of Medium-Sized Bus Based on Orthogonal Test," Energies, MDPI, vol. 15(19), pages 1-26, October.

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