{"id":"W1967863196","doi":"10.1109/vppc.2012.6422776","title":"MPPT control strategy on PEM Fuel Cell Low Speed Vehicle","year":2012,"lang":"en","type":"article","venue":"","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Proton exchange membrane fuel cell; Maximum power point tracking; Automotive engineering; Maximum power principle; Energy management; Power (physics); Computer science; Power management; Fuel cells; Battery (electricity); Electrical engineering; Photovoltaic system; Engineering; Energy (signal processing); Voltage; Inverter","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":[0.00008525419,0.0003245528,0.0003080149,0.0001819234,0.0003020632,0.0004182776,0.0005076596,0.0003367415,0.001270296],"category_scores_gemma":[0.0001365338,0.00009012487,0.0001354443,0.0001303958,0.0002239419,0.0002494403,0.0002287325,0.0002170588,0.0002120491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002958251,"about_ca_system_score_gemma":0.0001461662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001667154,"about_ca_topic_score_gemma":0.001128837,"domain_scores_codex":[0.9999157,0.00001560976,0.000004084792,0.00001926675,0.00003626715,0.000009107995],"domain_scores_gemma":[0.9999591,0.00000861157,0.000007299934,0.000003101167,0.00001858975,0.000003346657],"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":[0.0004232527,0.00011229,0.0009155547,0.000513942,0.00005669413,0.0008598655,0.0003439796,0.5135638,0.1480286,0.03134872,0.003710098,0.3001232],"study_design_scores_gemma":[0.00003123006,0.0002983367,0.000504396,0.00001569259,0.00001620061,0.0001220229,0.00004703207,0.9716496,0.0174318,0.004377502,0.005491773,0.00001426754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1021805,0.001061472,0.8556021,0.0004299761,0.0001367921,0.0001267394,0.0000439281,0.0005805827,0.03983796],"genre_scores_gemma":[0.9793202,0.0002399086,0.01446646,0.00004474017,0.00002054734,0.00004009466,0.00001466439,0.0000102532,0.005843213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001667154,"threshold_uncertainty_score":0.004249573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006752689714762009,"score_gpt":0.1828859038091761,"score_spread":0.1761332140944141,"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."}}