{"id":"W2127203110","doi":"10.1115/detc2011-47960","title":"Optimal Hybridization of Battery, Engine and Motor for PHEV20","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Simon Fraser University","funders":"","keywords":"Powertrain; Automotive engineering; Driving cycle; Battery (electricity); Sizing; Dynamometer; Battery electric vehicle; Engineering; Computer science; Electric vehicle; Power (physics); Torque","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":[0.0003090476,0.0006289659,0.0003309349,0.0004408216,0.0003191613,0.0005296579,0.0003614312,0.0004303133,0.002092641],"category_scores_gemma":[0.0005222671,0.0002888751,0.0005419215,0.0002817105,0.0002310467,0.0003738006,0.0004222552,0.0002728566,0.000218987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007156081,"about_ca_system_score_gemma":0.0006364441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002527365,"about_ca_topic_score_gemma":0.004240429,"domain_scores_codex":[0.9998494,0.00003515482,0.000003894891,0.0000305127,0.00004880196,0.0000322338],"domain_scores_gemma":[0.9999126,0.000039548,0.00001209817,0.000007438925,0.00002103048,0.000007382189],"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":[0.00007211632,0.00006701708,0.001191687,0.00008559297,0.00002694849,0.00008739717,0.00004365837,0.9467867,0.01850982,0.001847261,0.0004682341,0.03081358],"study_design_scores_gemma":[0.00002515119,0.0002496778,0.0009519329,0.000009019464,0.00003218537,0.00004042783,0.00007422914,0.9833193,0.01141458,0.001609164,0.002261281,0.00001302136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5978919,0.0004291908,0.3698836,0.0001825448,0.00005889586,0.0001685974,0.0001996204,0.0005062633,0.03067949],"genre_scores_gemma":[0.9435563,0.00006376357,0.05324383,0.00002461293,0.000003108775,0.0001098511,0.0001066903,0.00004936204,0.002842451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002527365,"threshold_uncertainty_score":0.007000566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007563196412824076,"score_gpt":0.1736113493590996,"score_spread":0.1660481529462755,"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."}}