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The analysis for the efficiency properties of the fuel cell engine

Author

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  • Hou, Yongping
  • Zhuang, Mingxi
  • Wan, Gang

Abstract

In this paper, the efficiency properties of the single fuel cell and the fuel cell stack have been analyzed theoretically, and the efficiency models of the fuel cell stack and fuel cell engine (FCE) are developed. Through experimental studies, we analyze the relationships between (1) the efficiency of the fuel cell stack and its current, (2) the efficiency of the fuel cell stack and its power, (3) the efficiency of the fuel cell stack and the hydrogen consumption ratio, (4) the efficiency of the FCE and the fuel cell stack current, (5) the efficiency of the FCE and its power, and (6) the efficiency of the FCE and the hydrogen consumption ratio. The factors which affect the efficiency of the fuel cell stack and that of the FCE are discussed. Finally, the efficiency models of the fuel cell stack and the FCE discussed in this paper are verified by test data. The results show that the simulation values fit well with the test data, and they can be applied in the fuel cell vehicle simulation studies.

Suggested Citation

  • Hou, Yongping & Zhuang, Mingxi & Wan, Gang, 2007. "The analysis for the efficiency properties of the fuel cell engine," Renewable Energy, Elsevier, vol. 32(7), pages 1175-1186.
    • Handle: RePEc:eee:renene:v:32:y:2007:i:7:p:1175-1186
    DOI: 10.1016/j.renene.2006.04.012
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    Citations

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    Cited by:

    1. Hou, Yongping & Wang, Bowen & Yang, Zhihua, 2011. "A method for evaluating the efficiency of PEM fuel cell engine," Applied Energy, Elsevier, vol. 88(4), pages 1181-1186, April.
    2. Salemme, Lucia & Menna, Laura & Simeone, Marino, 2013. "Calculation of the energy efficiency of fuel processor – PEM (proton exchange membrane) fuel cell systems from fuel elementar composition and heating value," Energy, Elsevier, vol. 57(C), pages 368-374.
    3. Zeng, Tao & Zhang, Caizhi & Hu, Minghui & Chen, Yan & Yuan, Changrong & Chen, Jingrui & Zhou, Anjian, 2018. "Modelling and predicting energy consumption of a range extender fuel cell hybrid vehicle," Energy, Elsevier, vol. 165(PB), pages 187-197.
    4. Zeng, Tao & Zhang, Caizhi & Zhang, Yanyi & Deng, Chenghao & Hao, Dong & Zhu, Zhongwen & Ran, Hongxu & Cao, Dongpu, 2021. "Optimization-oriented adaptive equivalent consumption minimization strategy based on short-term demand power prediction for fuel cell hybrid vehicle," Energy, Elsevier, vol. 227(C).
    5. Zhang, Caizhi & Zeng, Tao & Wu, Qi & Deng, Chenghao & Chan, Siew Hwa & Liu, Zhixiang, 2021. "Improved efficiency maximization strategy for vehicular dual-stack fuel cell system considering load state of sub-stacks through predictive soft-loading," Renewable Energy, Elsevier, vol. 179(C), pages 929-944.
    6. Petrescu, Stoian & Petre, Camelia & Costea, Monica & Malancioiu, Octavian & Boriaru, Nicolae & Dobrovicescu, Alexandru & Feidt, Michel & Harman, Charles, 2010. "A methodology of computation, design and optimization of solar Stirling power plant using hydrogen/oxygen fuel cells," Energy, Elsevier, vol. 35(2), pages 729-739.
    7. Alejandro Clemente & Ramon Costa-Castelló, 2020. "Redox Flow Batteries: A Literature Review Oriented to Automatic Control," Energies, MDPI, vol. 13(17), pages 1-31, September.

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