{"id":"W4403085896","doi":"10.1016/j.est.2024.113963","title":"Optimal design and control of battery-ultracapacitor hybrid energy storage system for BEV operating at extreme temperatures","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Supercapacitor; Battery (electricity); Energy storage; Automotive engineering; Control (management); Energy (signal processing); Environmental science; Computer science; Engineering; Chemistry; Power (physics); Physics; Capacitance","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":[0.0005203486,0.0009244138,0.0009127093,0.0003205335,0.0006051972,0.00169781,0.0008669097,0.0007266589,0.001817305],"category_scores_gemma":[0.0006956931,0.0005445212,0.0005659644,0.0003023444,0.0006431291,0.0004746251,0.0008114607,0.0007388984,0.0002629503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008336849,"about_ca_system_score_gemma":0.001303916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009120732,"about_ca_topic_score_gemma":0.007409155,"domain_scores_codex":[0.9996971,0.00005492256,0.00001677894,0.00008105549,0.00008656508,0.00006364498],"domain_scores_gemma":[0.9997357,0.00008055102,0.00005814712,0.00001077386,0.00009488224,0.0000199981],"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":[0.0001323696,0.00003320376,0.0005327025,0.0001171719,0.00003266667,0.00009952406,0.00006038973,0.9813672,0.006363593,0.001960592,0.0005970988,0.008703547],"study_design_scores_gemma":[0.00001278121,0.00005485027,0.000189893,0.00000518163,0.0000101169,0.000006001791,0.00002197888,0.9982508,0.0007058467,0.0004489342,0.0002886166,0.000004992857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2180545,0.00196993,0.7385927,0.0008045245,0.0002564225,0.0003116107,0.0003443668,0.0006432235,0.03902263],"genre_scores_gemma":[0.9906821,0.0002270565,0.006654106,0.00003963108,0.00001194746,0.0001326714,0.00005402202,0.00001501128,0.002183398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009120732,"threshold_uncertainty_score":0.01813531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705182759853986,"score_gpt":0.236510089133556,"score_spread":0.2194582615350162,"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."}}