{"id":"W2022005779","doi":"10.1109/epec.2014.15","title":"An Optimal Control Solved by Pontryagin's Minimum Principle Approach for a Fuel Cell/Supercapacitor Vehicle","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Moncton","funders":"","keywords":"Optimal control; Maximum principle; Driving cycle; Control theory (sociology); Minification; MATLAB; Pontryagin's minimum principle; Fuel efficiency; Computer science; Supercapacitor; State of charge; Power (physics); Mathematical optimization; Control (management); Automotive engineering; Mathematics; Electric vehicle; Engineering; Battery (electricity); Capacitance","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":[0.0004849831,0.0006379985,0.0007078335,0.000307308,0.0003473506,0.0007887859,0.000545889,0.0007225475,0.001866418],"category_scores_gemma":[0.0003780132,0.0002912917,0.0006220393,0.0003076621,0.0005789809,0.0004100073,0.0005602738,0.0008189529,0.0001772866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005483711,"about_ca_system_score_gemma":0.001003972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004394147,"about_ca_topic_score_gemma":0.002738789,"domain_scores_codex":[0.9997736,0.00005456095,0.00001110547,0.00005291442,0.00008057251,0.00002734751],"domain_scores_gemma":[0.9998969,0.00004176518,0.00001522095,0.000006692339,0.00003358833,0.000005795029],"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":[0.00005753816,0.0000409618,0.0002130613,0.0001571265,0.00003739423,0.0001049633,0.00009143724,0.9149981,0.00839574,0.03428945,0.000937655,0.04067659],"study_design_scores_gemma":[0.000009806468,0.00005249257,0.00007874412,0.000004494694,0.000007245209,0.00001845976,0.000007525373,0.9946733,0.0007582743,0.003308062,0.001074365,0.000007206274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01003529,0.0002304537,0.9817497,0.0001334933,0.00004387407,0.00004516226,0.00002218355,0.0001036369,0.00763625],"genre_scores_gemma":[0.8451951,0.0004368137,0.1445344,0.0001082325,0.00005234139,0.0003550691,0.0000713174,0.00005592554,0.009190902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004394147,"threshold_uncertainty_score":0.008737147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005472777803145014,"score_gpt":0.1982034606128838,"score_spread":0.1927306828097388,"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."}}