{"id":"W2994527227","doi":"10.1109/icems.2019.8922333","title":"Improved Stator Current Vector Determination Considering Harmonic Iron Loss for Maximum Efficiency Control of PMSM in EV Applications","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Stator; Harmonics; Control theory (sociology); Harmonic; Inverter; Vector control; Harmonic analysis; Synchronous motor; Pulse-width modulation; Traction (geology); Traction motor; Computer science; Engineering; Automotive engineering; Induction motor; Electronic engineering; Voltage; Physics; Electrical engineering; Control (management); Acoustics; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001576184,0.0001031118,0.0002005193,0.00015362,0.00001601228,0.00001191341,0.00008727005,0.00004083498,0.0000398141],"category_scores_gemma":[0.0000191365,0.0001010299,0.00007096066,0.0002173909,0.00001131115,0.00006232548,0.000004347973,0.00007297478,0.000008969934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008564346,"about_ca_system_score_gemma":0.00002675751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001235491,"about_ca_topic_score_gemma":0.0000161034,"domain_scores_codex":[0.9992668,0.00001336691,0.0002836932,0.000155343,0.00008106034,0.0001997278],"domain_scores_gemma":[0.9995568,0.0001491239,0.00004993888,0.0001584668,0.00004884443,0.00003686285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002738759,0.0001596943,0.003710712,0.0007955777,0.00004643896,5.702875e-7,0.0001648175,0.005500105,0.7020491,0.001052856,0.00003656649,0.2864562],"study_design_scores_gemma":[0.001091118,0.00005334241,0.0005915108,0.00001758195,0.00003060249,6.289672e-7,0.000009932601,0.9635194,0.03398261,0.0001616807,0.000398537,0.0001430698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2059028,0.0004750589,0.7924466,0.00001676653,0.0000645906,0.0009173982,0.00001376038,0.00006870809,0.00009425406],"genre_scores_gemma":[0.9980997,0.00003907324,0.001515669,0.000006431039,0.00001900469,0.0002476635,0.00000710325,0.00001658583,0.00004878848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9580193,"threshold_uncertainty_score":0.411988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007559333645040843,"score_gpt":0.228354599365672,"score_spread":0.2207952657206312,"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."}}