Simple temperature modeling of proton exchange membrane fuel cell using load current and ambient temperature variations. Issue 13 (21st October 2021)

• Record Type: Journal Article
• Authors: Khan, Saad Saleem; Shareef, Hussain; Kandidayeni, Mohsen; Boulon, Loïc; Khan, Irfan Ahmad; Yamin, Faisal; Kiranmai, K.S. Phani
• Is Part Of: International journal of green energy. Volume 18:Issue 13(2021)
• Page Start: 1352
• Page End: 1368
• Publication Date: 2021-10-21
• Subjects: Current-based model -- dynamic temperature model -- Harris hawks' optimization -- pemfc -- algorithm; Power resources -- Research -- Periodicals; Energy industries -- Periodicals; Energy development -- Periodicals; 333.79
• DOI: 10.1080/15435075.2021.1904939
• Languages: English
• ISSNs: 1543-5075

Abstract

ABSTRACT: This paper proposes a simplified proton-exchange membrane fuel cell (PEMFC) temperature model for the purpose of estimating PEMFC temperatures with high accuracy using air-cooling systems. Besides knowing that most of the existing models were designed for specific systems, the proposed model also focuses on generalizing the conventional temperature model for easy adoption by other PEMFCs. The proposed model is developed based on the first-order exponential equation to avoid the limitations of complex mechanistic temperature models. The model uses only the information available from typical commercial PEMFCs, the main inputs of which are the current, elapsed time, and ambient temperature. In addition, the PEMFC area, number of cells in the stack, and high/low operating currents were incorporated in the proposed model to ensure its generalizability and applicability to different PEMFC technologies with air-cooling systems under various ambient conditions. The required model parameters were optimized using the Harris hawks optimization method. The proposed model was validated using experiments conducted on the Horizon-500 W and NEXA-1.2 kW PEMFC systems equipped with air-cooling mechanisms under different ambient temperatures and load currents. The root mean square error of all the examined cases was less than 0.5. The proposed model is helpful for simulations, dynamic real-time controllers, and emulators because of its fast response and high accuracy.