{"id":"W2885610882","doi":"10.1016/j.rser.2018.07.020","title":"A review of power management strategies and component sizing methods for hybrid vehicles","year":2018,"lang":"en","type":"review","venue":"Renewable and Sustainable Energy Reviews","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":237,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada","keywords":"Powertrain; Component (thermodynamics); Sizing; Computer science; Energy management; Power management; Power flow; Power (physics); Automotive engineering; Reliability engineering; Systems engineering; Engineering; Electric power system; Energy (signal processing); Torque","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005429948,0.001159953,0.00136247,0.002443957,0.0002496839,0.0009930388,0.001226866,0.0008638873,0.004094586],"category_scores_gemma":[0.0008533205,0.0004784092,0.0007986302,0.003053058,0.0002541612,0.001661905,0.0004779026,0.0009285051,0.001287738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004285249,"about_ca_system_score_gemma":0.0009310055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001465549,"about_ca_topic_score_gemma":0.002409524,"domain_scores_codex":[0.9997023,0.00003266174,0.00005284534,0.00006595677,0.0001284445,0.00001782344],"domain_scores_gemma":[0.9996069,0.0001966145,0.00005783415,0.00001299326,0.0001147095,0.00001093099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005246467,0.00009315141,0.0001447896,0.02976229,0.0001262045,0.00006810834,0.00003155808,0.002087894,0.002906531,0.004250788,0.01385873,0.9466176],"study_design_scores_gemma":[0.0000245842,0.0002745131,0.001261561,0.00725566,0.0004426597,0.0008256257,0.00008628998,0.0017968,0.003172164,0.004706313,0.9800885,0.00006516019],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004025842,0.9950112,0.002148695,0.0001404253,0.0002017217,0.00001601926,0.00007843519,0.00002107233,0.001979845],"genre_scores_gemma":[0.002765053,0.9925182,0.002779384,0.0001271609,0.0001777307,0.00001948403,0.0001472741,0.000007418697,0.001458302],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004094586,"threshold_uncertainty_score":0.0136978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02775362852408512,"score_gpt":0.320966734013097,"score_spread":0.2932131054890119,"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."}}