{"id":"W3048829546","doi":"10.1109/tpel.2020.3030822","title":"Dimensioning and Power Management of Hybrid Energy Storage Systems for Electric Vehicles With Multiple Optimization Criteria","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Dimensioning; Energy storage; Energy management; Computer science; Fuzzy logic; Hybrid system; Power management; Battery (electricity); Control engineering; Engineering; Power (physics); Energy (signal processing)","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":[0.0006594355,0.0008129741,0.0006163022,0.000503231,0.000387906,0.001083805,0.0004213497,0.0005427801,0.001044839],"category_scores_gemma":[0.000860016,0.00034372,0.0004969526,0.0004528487,0.0003945449,0.000655458,0.0006437466,0.00048881,0.0001000573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006905582,"about_ca_system_score_gemma":0.0007377139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002986608,"about_ca_topic_score_gemma":0.002865406,"domain_scores_codex":[0.9997481,0.00009374027,0.00001743529,0.00003713796,0.00007251953,0.00003124108],"domain_scores_gemma":[0.9997901,0.000102642,0.00003473637,0.00001114462,0.0000505338,0.00001085256],"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":[0.00003187013,0.00002160638,0.0002456047,0.0000425775,0.00002424048,0.00002839041,0.00002434819,0.9770862,0.001555478,0.002924197,0.0002225457,0.01779298],"study_design_scores_gemma":[0.000006412457,0.00002908422,0.0001053594,0.000004138177,0.000005920212,0.000005686206,0.000009161311,0.9977955,0.000381799,0.001410593,0.0002432242,0.000003195525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09595173,0.0007692611,0.8946198,0.0003075568,0.00004721693,0.0001122456,0.00008388735,0.0002117757,0.007896504],"genre_scores_gemma":[0.9570436,0.0002136833,0.04098802,0.00005241395,0.00001551782,0.0001593279,0.00007297569,0.0000159836,0.001438484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002986608,"threshold_uncertainty_score":0.00593847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008975449260748131,"score_gpt":0.2235864927202428,"score_spread":0.2146110434594946,"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."}}