{"id":"W4386072027","doi":"10.23919/icpe2023-ecceasia54778.2023.10213640","title":"Voltage and Current Limited Maximum Torque Algorithm of SPMSM in Traction Applications","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Torque; Direct torque control; Control theory (sociology); Traction (geology); Voltage; Magnet; Stall torque; Computer science; Magnetic reluctance; Traction motor; Current (fluid); Power (physics); Automotive engineering; Engineering; Physics; Electrical engineering; Mechanical engineering; Control (management); Induction motor","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":[0.0003244597,0.0003636906,0.0003549139,0.0002827941,0.0002724303,0.0003588009,0.0004742843,0.0003875177,0.00199159],"category_scores_gemma":[0.000555061,0.0001402922,0.0002349462,0.000314611,0.0003148216,0.0003344278,0.0002863923,0.0003815661,0.0005706678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002096435,"about_ca_system_score_gemma":0.0005332322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007970898,"about_ca_topic_score_gemma":0.0009301371,"domain_scores_codex":[0.9998634,0.00003632208,0.000009367845,0.00002039335,0.00006066351,0.000009766991],"domain_scores_gemma":[0.9998624,0.00003932124,0.00002341614,0.00001640617,0.00005144455,0.000006927868],"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":[0.0001671108,0.0000826951,0.0008629948,0.0004087276,0.00003380034,0.0001929083,0.0001767911,0.3809558,0.05000077,0.03370008,0.003047973,0.5303704],"study_design_scores_gemma":[0.00002198016,0.0001505777,0.0003030601,0.00002633447,0.000005097639,0.0001066804,0.00002153974,0.9825157,0.006265651,0.004497936,0.006076452,0.00000907668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01023242,0.0002392104,0.9846264,0.00006757995,0.000041871,0.00006268197,0.00001524992,0.0002526192,0.004461934],"genre_scores_gemma":[0.5418222,0.0003377219,0.4526845,0.00006958884,0.00004390827,0.0002612524,0.00009891164,0.00007320903,0.004608724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00199159,"threshold_uncertainty_score":0.006662548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161976200567541,"score_gpt":0.2321736956183217,"score_spread":0.2205539336126462,"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."}}