{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000507979,0.000639929,0.000533022,0.0002624139,0.0003532632,0.001098807,0.0006239042,0.0003881196,0.001157816],"category_scores_gemma":[0.0004057292,0.0003330228,0.000263351,0.0002455726,0.0004741577,0.0003309708,0.0005321202,0.000506292,0.00016645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004096323,"about_ca_system_score_gemma":0.0005138171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0021827,"about_ca_topic_score_gemma":0.002484786,"domain_scores_codex":[0.9997701,0.00004929012,0.00001232635,0.00005367176,0.00007732168,0.0000373581],"domain_scores_gemma":[0.9998021,0.00005941661,0.00004382615,0.000009982522,0.00007030742,0.00001441],"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":[0.0007999475,0.0003840446,0.001073412,0.0005159456,0.0001058313,0.0003519056,0.0002720763,0.7880441,0.09903561,0.009821564,0.00198101,0.09761453],"study_design_scores_gemma":[0.00003880245,0.0001900309,0.0002604086,0.000007168127,0.00001119337,0.00002289661,0.00001978972,0.9951644,0.00318657,0.0007113013,0.0003806163,0.000006884809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1805031,0.000475669,0.8024579,0.0002875395,0.0001364247,0.0001697797,0.00004680895,0.0003836931,0.01553904],"genre_scores_gemma":[0.9920955,0.00007195523,0.00685475,0.00002140507,0.000006725986,0.00003886109,0.000008702636,0.000005437548,0.0008966241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0021827,"threshold_uncertainty_score":0.004340053,"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."}}