{"id":"W3043720501","doi":"10.1016/j.ijepes.2020.106346","title":"Design and control of multiphase interleaved boost converters-based on differential flatness theory for PEM fuel cell multi-stack applications","year":2020,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Renewable Energy Research Center, University of Dhaka; King Mongkut's University of Technology North Bangkok; Université de Lorraine","keywords":"Converters; Proton exchange membrane fuel cell; Flatness (cosmology); Microgrid; Engineering; Control theory (sociology); Controller (irrigation); Boost converter; Stack (abstract data type); Electronic engineering; Voltage; Computer science; Electrical engineering; Fuel cells; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003342196,0.0004669119,0.000440675,0.0002812773,0.0003772544,0.0009301117,0.0007686089,0.0002827688,0.001805354],"category_scores_gemma":[0.0002694779,0.0002512222,0.0002640751,0.0002781988,0.0002577925,0.0003853288,0.0003301855,0.0003970509,0.0002609887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003582324,"about_ca_system_score_gemma":0.0003859438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001276838,"about_ca_topic_score_gemma":0.002665722,"domain_scores_codex":[0.999855,0.00002115933,0.000009453674,0.000034645,0.00005651174,0.00002316931],"domain_scores_gemma":[0.9998699,0.00003048727,0.00002844746,0.00001065036,0.00005112722,0.000009268821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007866744,0.0003725869,0.001298169,0.0005837374,0.0001541919,0.0002934989,0.0003321541,0.4804328,0.2556272,0.0329469,0.002069477,0.2251026],"study_design_scores_gemma":[0.00003320835,0.0002445553,0.000729097,0.00001404953,0.00002675251,0.00004776637,0.00002872518,0.9745095,0.0205322,0.001788732,0.002032872,0.00001257097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08943783,0.0006083189,0.8922043,0.0001392634,0.0001414845,0.0001494684,0.00007674457,0.000515948,0.01672667],"genre_scores_gemma":[0.9794642,0.0001328838,0.01839329,0.00003053306,0.00001389871,0.00005792703,0.00002612924,0.0000144114,0.001866822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001805354,"threshold_uncertainty_score":0.00603956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089298271482951,"score_gpt":0.2184626095362524,"score_spread":0.2075696268214229,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}