{"id":"W4225358197","doi":"10.1109/tte.2022.3170737","title":"Optimal Control of Semi-Dual Active Bridge DC/DC Converter With Wide Voltage Gain in a Fast-Charging Station With Battery Energy Storage","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Voltage; Interfacing; Energy storage; Electrical engineering; Computer science; Converters; Power (physics); Control theory (sociology); Engineering; Control (management); Physics; Computer hardware","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001411008,0.0003026244,0.0003246393,0.000569003,0.0001539665,0.00001516193,0.0001166756,0.00007722739,0.0000997383],"category_scores_gemma":[0.000001521412,0.0003360205,0.00007003998,0.0008320146,0.00006257445,0.0005454709,4.419832e-8,0.0004861715,0.000002432124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000441176,"about_ca_system_score_gemma":0.000110686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001732165,"about_ca_topic_score_gemma":0.0006296331,"domain_scores_codex":[0.9981706,0.00009131023,0.000508595,0.000412151,0.00047138,0.0003459288],"domain_scores_gemma":[0.9991958,0.000172946,0.0001881706,0.0002552307,0.0001117801,0.00007603833],"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":[0.001155668,0.0001574986,0.0001380505,0.00004370309,0.0001147848,0.00001583223,0.002518517,0.7684402,0.2048382,0.00006514397,0.000007780345,0.02250455],"study_design_scores_gemma":[0.005046953,0.0007842723,0.01228127,0.00006613616,0.0001828705,0.00001588518,0.001404275,0.570393,0.409087,0.0000219642,0.00009038502,0.0006259785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2546242,0.00002162582,0.7442877,0.0000597817,0.00007948945,0.0004230795,0.0003360946,0.000153654,0.00001446433],"genre_scores_gemma":[0.9983318,0.00003399189,0.0003639287,0.0001028851,0.00001120906,0.0006467148,0.0003531885,0.00008826797,0.00006805205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7439237,"threshold_uncertainty_score":0.9999092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005282192764849788,"score_gpt":0.1891285935552262,"score_spread":0.1838464007903764,"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."}}