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A Review of Life Prediction Methods for PEMFCs in Electric Vehicles

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  • Aihua Tang

    (School of Vehicle Engineering, Chongqing University of Technology, Chongqing 400054, China)

  • Yuanhang Yang

    (School of Vehicle Engineering, Chongqing University of Technology, Chongqing 400054, China)

  • Quanqing Yu

    (School of Automotive Engineering, Harbin Institute of Technology, Weihai 264209, China)

  • Zhigang Zhang

    (School of Vehicle Engineering, Chongqing University of Technology, Chongqing 400054, China)

  • Lin Yang

    (School of Vehicle Engineering, Chongqing University of Technology, Chongqing 400054, China)

Abstract

The proton-exchange membrane fuel cell (PEMFC) has the advantage of high energy conversion efficiency, environmental friendliness, and zero carbon emissions. Therefore, as an attractive alternative energy, it is widely used in vehicles. Due to its high nonlinearity, strong time variation, and complex failure mechanisms, it is extremely difficult to predict PEMFC life in electric vehicles. The uncertainty of life predictions for the PEMFC limits its wide application. Since it is particularly important to accurately carry out PEMFC life predictions, significant research efforts are directed toward tackling this issue by adopting effective methods. In this paper, a number of PEMFC life prediction methods for electric vehicles are reviewed and summarized. The goal of this review is to render feasible and potential solutions for dealing with PEMFC life issues considering dynamic vehicle conditions. Based on this review, the reader can also easily understand the research status of PEMFC life prediction methods and this review lays a theoretical foundation for future research.

Suggested Citation

  • Aihua Tang & Yuanhang Yang & Quanqing Yu & Zhigang Zhang & Lin Yang, 2022. "A Review of Life Prediction Methods for PEMFCs in Electric Vehicles," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:9842-:d:884004
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    References listed on IDEAS

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    Cited by:

    1. Shu Xiong & Jian Pan & Yucui Yang, 2022. "Robust Decoupling Vector Control of Interior Permanent Magnet Synchronous Motor Used in Electric Vehicles with Reduced Parameter Mismatch Impacts," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    2. Izadi, Mohammad Javad & Hassani, Pourya & Raeesi, Mehrdad & Ahmadi, Pouria, 2024. "A novel WaveNet-GRU deep learning model for PEM fuel cells degradation prediction based on transfer learning," Energy, Elsevier, vol. 293(C).
    3. Zhaowen Liang & Kai Liu & Jinjin Huang & Enfei Zhou & Chao Wang & Hui Wang & Qiong Huang & Zhenpo Wang, 2022. "Powertrain Design and Energy Management Strategy Optimization for a Fuel Cell Electric Intercity Coach in an Extremely Cold Mountain Area," Sustainability, MDPI, vol. 14(18), pages 1-16, September.

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