A comparative study of equivalent circuit model and distribution of relaxation times for fuel cell impedance diagnosis. (18th May 2021)

• Record Type: Journal Article
• Authors: Wang, Qing; Hu, Zunyan; Xu, Liangfei; Li, Jianqiu; Gan, Quanquan; Du, Xiaoli; Ouyang, Minggao
• Is Part Of: International journal of energy research. Volume 45:Number 11(2021)
• Page Start: 15948
• Page End: 15961
• Publication Date: 2021-05-18
• Subjects: distribution of relaxation times -- electrochemical impedance spectroscopy -- equivalent circuit model -- fuel cell; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Power resources -- Research -- Periodicals; 621.042
• DOI: 10.1002/er.6825
• Languages: English
• ISSNs: 0363-907X

Abstract

Summary: Electrochemical impedance spectroscopy (EIS) is an important diagnostic tool for fuel cells. Accurate extraction of physical parameters from impedance spectra remains a significant challenge for vehicle fuel cells. The reliability analysis results obtained herein revealed that precise identification of middle and low‐frequency impedance by a traditional equivalent circuit model (ECM) was difficult. However, it was determined that the distribution of relaxation times (DRT) could be used to extract three characteristic peaks from the EIS data, which corresponded to the main polarization processes, including gas diffusion, oxygen reduction reaction, and proton transfer. The present work involved the development of a DRT‐based EIS reconstruction method for fuel cells. The sensitivity analysis results demonstrated that the designed method enabled the characterization of the gas diffusion impedance and proton transfer impedance at low and high current density, respectively. Notably, these properties could not be accurately determined by a traditional ECM method. The developed approach considerably improved the interpretability of impedance spectra; thus making it applicable for fuel cell fault diagnosis and durability analysis. Abstract : Experimental results show that, using DRT method it is feasible to identify impedances of gas diffusion, oxygen reduction reaction and proton transfer within a 25cm 2 fuel cell. However, using a traditional ECM method such parameters can't be identified in some operation conditions. The DRT method shows great potential in fuel cell diagnosis in the future.