Open AccessStudy on data-driven PEMFC humidity mechanism soft-sensing model
Author(s) -
Baohua Tan,
Chen Hong-bin,
Rui Quan,
Shuhai Quan,
Yihong Zhou
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1423/1/012043
Subject(s) - humidity , proton exchange membrane fuel cell , mechanism (biology) , diffusion , relative humidity , gaseous diffusion , biological system , experimental data , computer science , fuel cells , environmental science , materials science , engineering , meteorology , thermodynamics , chemical engineering , physics , mathematics , statistics , quantum mechanics , biology
Proton exchange membrane fuel cell (PEMFC) has a special closed structure, whose humidity cannot be measured directly. This paper selects the diffusion model as the modelling and analysis basis of the humidity mechanism soft-sensing based on the experimental research object. After the study of the basic principles of the diffusion model, a one-dimensional data-driven proton exchange membrane fuel cell humidity mechanism soft-sensing model is analysed and completed. At last, the actual experimental data drives the humidity mechanism soft-sensing model and the predicted output error based on the humidity mechanism soft-sensing model can be controlled within 3%. The output results verify the effectiveness of the humidity mechanism soft-sensing model.