{"id":"W4401741846","doi":"10.2139/ssrn.4932288","title":"Direct Voltage Mtpa Control of Interior Permanent Magnet Synchronous Motor Driven Electric Vehicles","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Permanent magnet synchronous motor; Magnet; Electric vehicle; Voltage; Control (management); Synchronous motor; Permanent magnet synchronous generator; Automotive engineering; Control theory (sociology); Electrical engineering; Computer science; Physics; Engineering; 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":[0.0001079636,0.0001814908,0.0001758244,0.000119353,0.0001534608,0.0004565424,0.0002110504,0.0001347455,0.002190881],"category_scores_gemma":[0.0003957364,0.00006591938,0.00008050162,0.00010971,0.0001659625,0.0001578867,0.000169796,0.0002156772,0.0002486811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085042,"about_ca_system_score_gemma":0.0001280116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006778916,"about_ca_topic_score_gemma":0.001111409,"domain_scores_codex":[0.9999326,0.00001567966,0.000003201609,0.00001252109,0.00002616148,0.00000985832],"domain_scores_gemma":[0.9998764,0.0000343518,0.00002150448,0.00001012976,0.00004946263,0.000008143767],"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":[0.001214476,0.0002587276,0.001431443,0.0006622572,0.00005909381,0.000438155,0.000324315,0.2162982,0.2482647,0.03528898,0.007040913,0.4887188],"study_design_scores_gemma":[0.00004818454,0.0005302861,0.002094573,0.00002063528,0.0000137314,0.0001294879,0.00003488158,0.9606991,0.01993379,0.007255347,0.009229334,0.00001079841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3117284,0.001000372,0.6426803,0.0003707542,0.0004491012,0.00006280446,0.000104615,0.0006581653,0.04294557],"genre_scores_gemma":[0.9931214,0.00007676375,0.003288045,0.00001294782,0.00002599887,0.000008773474,0.00001294918,0.000007811913,0.003445178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002190881,"threshold_uncertainty_score":0.007329226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004016547329007075,"score_gpt":0.2006187387606181,"score_spread":0.196602191431611,"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."}}