{"id":"W1985852778","doi":"10.1109/apec.2013.6520540","title":"Control strategies for a LLC multi-resonant DC-DC converter in battery charging applications","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Delta-Q Technologies (Canada)","funders":"","keywords":"Converters; Ripple; Electrical engineering; Voltage; Battery (electricity); Forward converter; Battery charger; Resonant converter; Charge pump; Computer science; Boost converter; Electronic engineering; Engineering; Power (physics); Capacitor; 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":[0.0002042251,0.0003269435,0.0003215236,0.0002143242,0.0003605821,0.0005707755,0.0008082157,0.0002794999,0.002293964],"category_scores_gemma":[0.0001853821,0.0001227564,0.0001871871,0.0001536022,0.0002027519,0.0003466949,0.0002419408,0.0003777481,0.0004782738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002294664,"about_ca_system_score_gemma":0.0002266283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006997259,"about_ca_topic_score_gemma":0.001320002,"domain_scores_codex":[0.9998749,0.00001854503,0.00001050536,0.00002683113,0.00005508452,0.00001410003],"domain_scores_gemma":[0.9999055,0.00002193936,0.00001239129,0.000009704736,0.00004452308,0.000005864021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004359533,0.0003522937,0.0007604143,0.0007175608,0.0000837531,0.0005498262,0.0004120684,0.1214647,0.4111356,0.02343131,0.00383692,0.4368197],"study_design_scores_gemma":[0.00009701723,0.0005464529,0.0007064178,0.00004410566,0.0000501665,0.0004646134,0.0001221595,0.898209,0.08155455,0.004732603,0.01343471,0.00003827598],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03217698,0.0004050444,0.9559583,0.000167182,0.00008962359,0.0001329984,0.000018831,0.0006399767,0.01041112],"genre_scores_gemma":[0.9123201,0.0002483561,0.07997365,0.00009895841,0.00004442384,0.00009600374,0.00002185099,0.00003539286,0.007161305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002293964,"threshold_uncertainty_score":0.007674098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126301081588604,"score_gpt":0.2272546231201459,"score_spread":0.2159916123042598,"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."}}