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Parameter estimation of proton exchange membrane fuel cell using a novel meta-heuristic algorithm

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Abstract

In recent years, proton exchange membrane fuel cells (PEMFCs) have been known to be a viable method for meeting the electrical energy needs, thereby enhancing the overall reliability of renewable energy systems. PEMFCs demonstrate various promising attributes like pollution-free, totally sustainable, non-self-discharging. These need hydrogen as fuel, and air for their operation, while the final product is pure water only. Thus, under varying operating conditions, the appropriate modeling and parameter optimization of PEMFCs have gained considerable importance in recent times. The evolutionary optimization approaches had been utilized in recent past for estimating PEMFCs parameters as exact modeling of the same does not exist in the literature. For the evaluation of PEMFCs performance criteria, a newly proposed algorithm is developed in this manuscript i.e. black widow optimization (BWO). Firstly, the performance of this proposed algorithm is checked by complex benchmark results. After that, this proposed algorithm is applied to extract the parameters of PEMFCs models under different operating temperatures. The parameter optimization results are obtained using BWO and are further compared with those obtained with five other algorithms, i.e., particle swarm optimization (PSO), multi-verse optimizer (MVO), sine cosine algorithm (SCA), whale optimization algorithm (WOA), and grey wolf optimization (GWO). The complete error analysis is carried out for the two data sheets of the PEMFCs to establish the superiority of BWO. It has been observed that the developed proposed algorithm gives better results when compared to those obtained with rest of the algorithms considered in this work. After calculating the error, non-parametric test is performed which suggests that the BWO is better than the rest of the compared algorithms.

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Authors and Affiliations

  1. Electrical and Instrumentation Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India

    Manish Kumar Singla & Parag Nijhawan

  2. Mechanical Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India

    Amandeep Singh Oberoi

Authors
  1. Manish Kumar Singla
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  2. Parag Nijhawan
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  3. Amandeep Singh Oberoi
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To qualify as an author one should PN have made substantial contributions to conception and design,; MKS have been involved in drafting the manuscript or revising it critically for important intellectual content; and ASO have given final approval of the version to be published. Each author should have participated sufficiently in the work to take public responsibility for appropriate portions of the content. Acquisition of funding, collection of data, or general supervision of the research group, alone, does not justify authorship.

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Correspondence to Manish Kumar Singla.

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Singla, M.K., Nijhawan, P. & Oberoi, A.S. Parameter estimation of proton exchange membrane fuel cell using a novel meta-heuristic algorithm. Environ Sci Pollut Res 28, 34511–34526 (2021). https://doi.org/10.1007/s11356-021-13097-0

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  • DOI: https://doi.org/10.1007/s11356-021-13097-0

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