{"id":"W2133499890","doi":"10.1109/acc.2007.4282828","title":"Modeling and Simulation of a Series Parallel Hybrid Electric Vehicle Using REVS","year":2007,"lang":"en","type":"article","venue":"Proceedings of the ... American Control Conference/Proceedings of the American Control Conference","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Automotive engineering; Electric vehicle; Energy management; Internal combustion engine; Modeling and simulation; Engineering; MATLAB; Energy management system; Renewable energy; Computer science; Control engineering; Simulation; Energy (signal processing); Power (physics); Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002287958,0.0005621049,0.0005081688,0.0002979568,0.0003634844,0.0004711263,0.0008864584,0.0005947624,0.00452476],"category_scores_gemma":[0.000249997,0.000329947,0.0007127173,0.0002462023,0.0003186244,0.0003756154,0.0003995331,0.0004214425,0.000732467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000594508,"about_ca_system_score_gemma":0.0007991288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0174795,"about_ca_topic_score_gemma":0.01142872,"domain_scores_codex":[0.9998771,0.00003250239,0.000007183901,0.00002072733,0.00004666803,0.00001583147],"domain_scores_gemma":[0.999895,0.00003079494,0.00001401674,0.00001257001,0.00003939954,0.000008114785],"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":[0.00002418568,0.00001366954,0.000342548,0.00002442291,0.000009957784,0.00004528441,0.00002056613,0.9933121,0.001879443,0.001761201,0.0002635364,0.002303136],"study_design_scores_gemma":[0.00001259318,0.00002676704,0.0001509094,0.000004054054,0.000006290976,0.00001611846,0.00001037346,0.9964086,0.000958578,0.000325727,0.002075387,0.000004667256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2198027,0.0003280998,0.692467,0.0003613303,0.000156455,0.0003694063,0.001962985,0.005302421,0.07924952],"genre_scores_gemma":[0.8960919,0.0005093762,0.07131775,0.00008998074,0.00002967312,0.0005770018,0.001544876,0.0002761595,0.02956318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0174795,"threshold_uncertainty_score":0.03475553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258310908604815,"score_gpt":0.2282870535842618,"score_spread":0.2157039444982136,"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."}}