{"id":"W2945432729","doi":"10.1109/tia.2019.2911057","title":"Real-Time Control of a Full Scale Li-ion Battery and Li-ion Capacitor Hybrid Energy Storage System for a Plug-in Hybrid Vehicle","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Battery pack; Battery (electricity); Energy storage; Automotive engineering; Capacitor; Drivetrain; Electrical engineering; Engineering; Electric vehicle; Hybrid vehicle; Power (physics); Voltage; Torque; 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":[0.0002260888,0.0003810079,0.0002955798,0.0001341019,0.0003366394,0.0006031334,0.0004729644,0.0002072124,0.001694749],"category_scores_gemma":[0.0002282284,0.0001483448,0.0001493588,0.0001110011,0.0002676458,0.0002513823,0.0002551348,0.0002633101,0.0001794457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003298023,"about_ca_system_score_gemma":0.0004084607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002535932,"about_ca_topic_score_gemma":0.004159679,"domain_scores_codex":[0.999911,0.0000143759,0.000006034196,0.00002050394,0.00003470636,0.00001343208],"domain_scores_gemma":[0.9998715,0.00003664455,0.00002364554,0.00001025693,0.0000446272,0.00001346934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001478845,0.0005021034,0.002858676,0.0006293299,0.0001364756,0.0005269134,0.0005118732,0.5450169,0.3197858,0.003096889,0.00366807,0.121788],"study_design_scores_gemma":[0.0001037088,0.0007531669,0.001562269,0.0000107412,0.00003476593,0.00006213642,0.000066624,0.9650955,0.02981232,0.0003230989,0.002155929,0.00001980325],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7109077,0.0003219174,0.2742901,0.0002589066,0.0001649705,0.0002651255,0.0002280063,0.002160634,0.01140256],"genre_scores_gemma":[0.9951565,0.00002730473,0.003480815,0.00001298031,0.000003858746,0.00004228087,0.00002448535,0.000007836197,0.001243871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002535932,"threshold_uncertainty_score":0.005669475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00823329990969981,"score_gpt":0.2240718945767407,"score_spread":0.2158385946670409,"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."}}