{"id":"W4405098677","doi":"10.1016/j.conengprac.2024.106197","title":"Direct voltage MTPA control of interior permanent magnet synchronous motor driven electric vehicles","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Electric vehicle; Permanent magnet synchronous motor; Magnet; Control (management); Voltage; Control theory (sociology); Permanent magnet synchronous generator; Synchronous motor; Automotive engineering; Engineering; Electrical engineering; Computer science; Physics; Power (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":[0.0002042349,0.0003715088,0.0002407163,0.0002153355,0.0001591204,0.0004286626,0.0004963256,0.0001715349,0.001088314],"category_scores_gemma":[0.0003177544,0.0001018919,0.0001838112,0.0001221897,0.0002169926,0.0002250077,0.0002744,0.0002640704,0.0002429341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557409,"about_ca_system_score_gemma":0.0002110305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006216784,"about_ca_topic_score_gemma":0.0008191629,"domain_scores_codex":[0.9998471,0.0000258941,0.000008445639,0.00002662435,0.00007575225,0.0000161402],"domain_scores_gemma":[0.9998798,0.00002513092,0.00003192532,0.000009164248,0.00004749766,0.00000644411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004291623,0.0001570178,0.001206621,0.0007677447,0.00005972417,0.0003873931,0.0001995442,0.3645641,0.138803,0.02020363,0.0032241,0.4699981],"study_design_scores_gemma":[0.0000274645,0.0005199474,0.0006487327,0.00002020581,0.00001361506,0.000107623,0.00002329168,0.9744751,0.01463774,0.001601608,0.007913258,0.00001135707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0597589,0.0004731381,0.926452,0.00008592615,0.0001308809,0.00006437922,0.0000299552,0.000565369,0.0124395],"genre_scores_gemma":[0.9722907,0.0001746403,0.02436084,0.00002662874,0.0000283548,0.0000387501,0.00003189302,0.00001519551,0.003032926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001088314,"threshold_uncertainty_score":0.003640771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003671225109136361,"score_gpt":0.200456038257208,"score_spread":0.1967848131480717,"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."}}