{"id":"W2914995423","doi":"10.1109/cistem.2018.8613379","title":"Modeling and Sliding Mode DTC of an EV with Four In-Wheel Induction Motors Drive","year":2018,"lang":"en","type":"article","venue":"","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Electronic differential; Induction motor; Torque; Control theory (sociology); MATLAB; Traction control system; Direct torque control; Traction motor; Automotive engineering; Electric vehicle; Traction (geology); Sliding mode control; Pulse-width modulation; Torque steering; Engineering; Computer science; Voltage; Steering wheel; Control (management); Physics; Electrical engineering; Nonlinear system; Power (physics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001758282,0.0005472239,0.0004127098,0.0003059317,0.0002760323,0.0005890381,0.0006125207,0.0005391969,0.001684366],"category_scores_gemma":[0.0002296396,0.0001948068,0.0004066956,0.0001807247,0.0002668381,0.000430069,0.0002925896,0.0003826775,0.0002732252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003256407,"about_ca_system_score_gemma":0.0003300602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006168155,"about_ca_topic_score_gemma":0.003491795,"domain_scores_codex":[0.9998902,0.00002079811,0.000008406883,0.00002597001,0.00003843932,0.00001612813],"domain_scores_gemma":[0.9999119,0.00002125551,0.00001827894,0.000009614576,0.00003405372,0.000004912073],"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":[0.0001609799,0.00004693065,0.002009866,0.0001729822,0.00006021861,0.0003691179,0.0001368763,0.9496332,0.01631676,0.006331959,0.0005274114,0.02423362],"study_design_scores_gemma":[0.000003763677,0.00004237983,0.0003387143,0.000003724454,0.00000805156,0.0000216067,0.00001024481,0.9976074,0.0009817029,0.0003493591,0.0006297485,0.00000324839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1718501,0.0007171829,0.8054586,0.0002236986,0.0001464282,0.00007737498,0.0001462839,0.0005139812,0.02086628],"genre_scores_gemma":[0.9890639,0.000221119,0.00556162,0.00001223877,0.00001044583,0.0000526501,0.00006384688,0.00001160479,0.00500248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006168155,"threshold_uncertainty_score":0.01226449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306512574304245,"score_gpt":0.2151706792974428,"score_spread":0.2021055535544004,"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."}}