{"id":"W4405283472","doi":"10.1016/j.eng.2024.10.021","title":"LearningEMS: A Unified Framework and Open-Source Benchmark for Learning-Based Energy Management of Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"Engineering","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Benchmark (surveying); Open source; Computer science; Energy management; Energy (signal processing); Systems engineering; Engineering; Automotive engineering; Geology; Operating system; 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":[0.00287364,0.002381997,0.0009168958,0.002216292,0.0005510715,0.001657988,0.00393883,0.001745323,0.005430115],"category_scores_gemma":[0.009513778,0.0005643371,0.001023265,0.001910911,0.0007968552,0.002390471,0.002515563,0.002434751,0.00283867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592364,"about_ca_system_score_gemma":0.003573915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01605096,"about_ca_topic_score_gemma":0.01614634,"domain_scores_codex":[0.9982508,0.0004587295,0.0001798137,0.0002969255,0.0006090925,0.0002046438],"domain_scores_gemma":[0.9977913,0.000955752,0.0001414605,0.0004027611,0.0005783637,0.0001304927],"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":[0.0004429208,0.0006941521,0.006111249,0.001358399,0.0001839914,0.0001574409,0.00006440561,0.7461535,0.002276605,0.01730831,0.09236862,0.1328804],"study_design_scores_gemma":[0.0002015169,0.0002229211,0.001389284,0.0001190023,0.00003003196,0.00007353014,0.00004619188,0.9514711,0.005603158,0.0103119,0.03048747,0.00004391749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1042207,0.005519896,0.6618181,0.002540709,0.001158615,0.001777617,0.0508253,0.1295163,0.04262268],"genre_scores_gemma":[0.377427,0.002291553,0.4747409,0.0009505062,0.0001868139,0.002605003,0.1264595,0.008125078,0.007213559],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01605096,"threshold_uncertainty_score":0.03191507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006573402790559575,"score_gpt":0.2100230740934693,"score_spread":0.2034496713029098,"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."}}