{"doi":"10.22214/ijraset.2023.52046","title":"Modelling of PEM Fuel Cell using MATLAB Simulink","abstract":"<jats:p>Abstract: In this project, we present a detailed modelling approach for a Proton Exchange Membrane (PEM) fuel cell using MATLAB Simulink. The paper provides a comprehensive analysis of the PEM fuel cell system, including the electrochemical reactions that occur within the fuel cell, the thermodynamics of the system, and the transport processes of the reactants and products. The model is based on a multi-phase approach and incorporates several sub-models for each component of the fuel cell system. The resulting model is validated using experimental data from literature, and the results show excellent agreement with the experimental data. The model is further used to investigate the effects of various parameters, such as gas flow rate, and cell voltage, on the fuel cell's efficiency. . The research's conclusions give important new information about the operation and optimisation of PEM fuel cells, and the suggested model can be utilised to build and improve PEM fuel cell systems.</jats:p>","journal":"International Journal for Research in Applied Science and Engineering Technology","year":2023,"id":28406,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":159242,"name":"Akash V","orcid":null,"position":1,"is_corresponding":false},{"id":159243,"name":"Kishore G","orcid":null,"position":2,"is_corresponding":false},{"id":159241,"name":"Saran M","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"24523987","pmcid":null,"openalex_id":"https://openalex.org/W4376506374","authors":[],"funders":[],"total_grants":0,"fwci":0.0,"citation_percentile":0.03776837,"influential_citations":0,"citation_trend":[],"oa_status":"gold","license":null,"oa_locations":[{"url":"https://doi.org/10.22214/ijraset.2023.52046","host_type":"journal"},{"url":"https://doi.org/10.22214/ijraset.2023.52046","host_type":"BRONZE"},{"url":"https://doi.org/10.22214/ijraset.2023.52046","host_type":"publisher"},{"url":"http://doi.org/10.22214/ijraset.2023.52046","host_type":"journal"}],"fields_of_study":["Fuel Cells and Related Materials","Electrocatalysts for Energy Conversion","Electric and Hybrid Vehicle Technologies","Engineering","Chemistry"],"mesh_terms":[],"keywords":["Proton exchange membrane fuel cell","Fuel cells","MATLAB","Computer science","Nuclear engineering","Experimental data","Component (thermodynamics)","Process engineering","Automotive engineering","Simulation","Chemical engineering","Thermodynamics","Engineering","Physics"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Affordable and clean energy"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-08T21:24:41.435573Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}