{"id":"W4404565068","doi":"10.1109/vppc63154.2024.10755361","title":"Power-Hardware-In-The-Loop for Electric Vehicle Battery Validation","year":2024,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Foundation for Science and Technology; Mitacs; Canada Research Chairs","keywords":"Battery (electricity); Power (physics); Electrical engineering; Automotive engineering; Computer science; Loop (graph theory); Electric vehicle; Battery electric vehicle; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000221813,0.00007353225,0.0000816545,0.00009992708,0.00002074849,0.000142471,0.00007575264,0.00003845801,0.0001382173],"category_scores_gemma":[0.00001108623,0.00005505246,0.00005501059,0.0002412866,0.000001984905,0.0001412479,0.000002486307,0.00005858849,0.0001922029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003563306,"about_ca_system_score_gemma":0.000008312871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008044617,"about_ca_topic_score_gemma":0.000002542203,"domain_scores_codex":[0.9994695,0.00001977306,0.0001655379,0.000101063,0.00009697374,0.0001471936],"domain_scores_gemma":[0.9996861,0.000163555,0.00000619364,0.0001112942,0.00001458075,0.00001832002],"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":[0.00006423896,0.0001031072,0.001388227,0.001037073,0.0003091337,0.00004296332,0.002760659,0.3946506,0.3120849,0.03925583,0.1556236,0.0926797],"study_design_scores_gemma":[0.0002625971,0.00002503989,0.0007312978,0.00001841369,0.000007468358,0.000003717139,0.00005502399,0.9661341,0.002812365,0.0002739524,0.02957387,0.0001021416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6131795,0.002210724,0.1783901,0.001907185,0.00205026,0.001965486,0.00001160769,0.001851401,0.1984337],"genre_scores_gemma":[0.9982181,0.000006162724,0.00001991223,0.00009314937,0.0001013827,0.00007175505,0.000008693348,0.00001870733,0.001462169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5714836,"threshold_uncertainty_score":0.2470444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009392373048565016,"score_gpt":0.235683829414926,"score_spread":0.226291456366361,"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."}}