{"id":"W3101646443","doi":"10.1049/iet-est.2020.0035","title":"Online energy management of a hybrid fuel cell vehicle considering the performance variation of the power sources","year":2020,"lang":"en","type":"article","venue":"IET Electrical Systems in Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Université du Québec à Trois-Rivières; Q & T Research; Université de Sherbrooke","funders":"","keywords":"Variation (astronomy); Fuel cells; Automotive engineering; Energy management; Power (physics); Hybrid power; Hybrid vehicle; Energy (signal processing); Engineering; Chemical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007877755,0.00008012367,0.0001355873,0.00004445287,0.00002039051,0.000005319212,0.0002103968,0.00003550815,0.000003225229],"category_scores_gemma":[0.000006889654,0.00005604572,0.0000336827,0.000537743,0.00003058842,0.00006447814,0.000006577761,0.0001603091,5.237055e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004234214,"about_ca_system_score_gemma":0.000007916694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000456768,"about_ca_topic_score_gemma":0.00001150604,"domain_scores_codex":[0.9991201,0.00002739657,0.0003457101,0.0001079881,0.0002467126,0.0001521179],"domain_scores_gemma":[0.9996779,0.00005790925,0.00007364642,0.000143974,0.00003109439,0.0000154514],"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":[0.00003558759,0.00007252379,0.008610428,0.001307959,0.00005083063,0.000007896454,0.0007976934,0.9431886,0.04138101,0.001015749,0.00003231376,0.003499397],"study_design_scores_gemma":[0.0007738577,0.0001694599,0.1718406,0.0001801573,0.00003047607,0.000001881237,0.0004456228,0.6887676,0.13629,0.0001818928,0.001119639,0.0001987246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850848,0.0008601078,0.01343351,0.0001459023,0.00005420477,0.0002343676,0.00001298112,0.00006801733,0.0001061666],"genre_scores_gemma":[0.999438,0.0003239698,0.0001604464,0.00001403416,0.000008729035,0.0000281638,0.000006335153,0.00001287542,0.000007393554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.254421,"threshold_uncertainty_score":0.2285478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00984420526953719,"score_gpt":0.2065468568664698,"score_spread":0.1967026515969326,"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."}}