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Humidity estimation of vehicle proton exchange membrane fuel cell under variable operating temperature based on adaptive sliding mode observation

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  • Jiao, Jieran
  • Chen, Fengxiang

Abstract

Active humidity control of vehicle fuel cell requires real-time and accurate estimation of actual humidity. However, the vehicle operation conditions change rapidly, which makes the accuracy of transient estimation become the difficulty of estimation algorithm with operation condition deviation. In order to solve this problem, an adaptive sliding mode estimation algorithm based on dimensionless modelling method is designed. The experiment on a real 80 kW commercial fuel cell system proves that compared with the classical sliding mode observation algorithm, the adaptive scheme can reduce the absolute estimation error of humidity by about 5% on average, and the absolute estimation error can be reduced by 17% in some transients.

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  • Jiao, Jieran & Chen, Fengxiang, 2022. "Humidity estimation of vehicle proton exchange membrane fuel cell under variable operating temperature based on adaptive sliding mode observation," Applied Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:appene:v:313:y:2022:i:c:s0306261922002288
    DOI: 10.1016/j.apenergy.2022.118779
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    References listed on IDEAS

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    Cited by:

    1. Haibo Huo & Jiajie Chen & Ke Wang & Fang Wang & Guangzhe Jin & Fengxiang Chen, 2023. "State Estimation of Membrane Water Content of PEMFC Based on GA-BP Neural Network," Sustainability, MDPI, vol. 15(11), pages 1-16, June.
    2. Ruifeng Guo & Dongfang Chen & Yuehua Li & Wenlong Wu & Song Hu & Xiaoming Xu, 2023. "Anode Nitrogen Concentration Estimation Based on Voltage Variation Characteristics for Proton Exchange Membrane Fuel Cell Stacks," Energies, MDPI, vol. 16(5), pages 1-16, February.
    3. Chen, Fengxiang & Pei, Yaowang & Jiao, Jieran & Chi, Xuncheng & Hou, Zhongjun, 2023. "Energy flow and thermal voltage analysis of water-cooled PEMFC stack under normal operating conditions," Energy, Elsevier, vol. 275(C).
    4. Jiaping Xie & Hao Yuan & Yufeng Wu & Chao Wang & Xuezhe Wei & Haifeng Dai, 2023. "Impedance Acquisition of Proton Exchange Membrane Fuel Cell Using Deeper Learning Network," Energies, MDPI, vol. 16(14), pages 1-18, July.
    5. Chen, Fengxiang & Chi, Xuncheng & Wei, Wei & Mo, Tiande & Li, Yu, 2023. "Model-based observer for direct methanol fuel cell concentration estimation by using second-order sliding-mode algorithm," Energy, Elsevier, vol. 263(PD).

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