{"id":"W4386590859","doi":"10.1109/tits.2023.3309052","title":"Energy Management Strategies for Fuel Cell Vehicles: A Comprehensive Review of the Latest Progress in Modeling, Strategies, and Future Prospects","year":2023,"lang":"en","type":"review","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Sherbrooke","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Powertrain; Robustness (evolution); Adaptability; Risk analysis (engineering); Fuel cells; Computer science; Systems engineering; Energy management; Engineering; Automotive industry; Work (physics); Automotive engineering; Energy (signal processing); Mechanical engineering; Torque; Business","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":[0.0008114285,0.001309064,0.001248254,0.002657139,0.0003538577,0.001331606,0.001219841,0.001233572,0.002776216],"category_scores_gemma":[0.00108003,0.0005328153,0.0007722832,0.003674074,0.0004337437,0.002513631,0.0006504944,0.001374519,0.001402798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006609175,"about_ca_system_score_gemma":0.001505404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002043743,"about_ca_topic_score_gemma":0.001989325,"domain_scores_codex":[0.9996655,0.00004502786,0.00004943674,0.00006795822,0.0001484528,0.0000235866],"domain_scores_gemma":[0.9993634,0.0003308816,0.0000744117,0.00002265206,0.0001854528,0.00002316251],"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":[0.00003979734,0.0001383088,0.0003808482,0.02679322,0.00009023565,0.0001476725,0.0001280133,0.00445927,0.002129117,0.018898,0.0224267,0.9243688],"study_design_scores_gemma":[0.00001050089,0.0001594726,0.0008100887,0.007892053,0.0002006266,0.0006092902,0.0001791686,0.002741484,0.001195123,0.009058791,0.9770806,0.00006290842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003009722,0.9955471,0.001715332,0.0003171487,0.0002119641,0.00001033297,0.00003178217,0.00001863377,0.001846793],"genre_scores_gemma":[0.001835843,0.995883,0.001401116,0.0001385566,0.0001956562,0.00001161112,0.00005289209,0.000005012503,0.0004764106],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002776216,"threshold_uncertainty_score":0.009287357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03968258251849573,"score_gpt":0.279240908624095,"score_spread":0.2395583261055993,"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."}}