{"id":"W3049197893","doi":"10.3390/batteries6030042","title":"SOC Estimation of a Rechargeable Li-Ion Battery Used in Fuel-Cell Hybrid Electric Vehicles—Comparative Study of Accuracy and Robustness Performance Based on Statistical Criteria. Part I: Equivalent Models","year":2020,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"John Abbott College; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; Battery (electricity); Computer science; Estimator; Robustness (evolution); Residual; Automotive engineering; MATLAB; State of health; Simulation; Engineering; Algorithm; Power (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001576671,0.0002162432,0.0004462861,0.0002247291,0.00003589665,0.000028106,0.0002008566,0.00005581643,0.00004607254],"category_scores_gemma":[0.00008754902,0.0002187442,0.00001924101,0.0003610152,0.00008352991,0.0004348263,0.00009335803,0.0002774994,0.000003364307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007214146,"about_ca_system_score_gemma":0.0000279224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006089017,"about_ca_topic_score_gemma":0.000002256765,"domain_scores_codex":[0.9985052,0.0000938125,0.0004763093,0.0002997383,0.0003116873,0.0003132813],"domain_scores_gemma":[0.999167,0.0003686003,0.00009248484,0.0002613376,0.00005637668,0.00005421061],"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":[0.0003150782,0.000286768,0.001724641,0.001285967,0.00001533398,0.00001189314,0.00100881,0.9637758,0.02829047,0.000008729522,0.0002227997,0.003053744],"study_design_scores_gemma":[0.0008760868,0.0009055148,0.002391463,0.00009410093,0.000008361712,9.271924e-7,0.0004747876,0.8600528,0.1349539,0.00006712214,0.000007308051,0.0001676893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9140382,0.00006189289,0.08498793,0.0001328781,0.00003508747,0.0005356486,0.00004848599,0.0001135873,0.00004630805],"genre_scores_gemma":[0.997507,0.00007176054,0.002208102,0.00002466655,0.0000123503,0.000120547,0.00002350012,0.0000286852,0.000003362389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1066634,"threshold_uncertainty_score":0.892013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07304937713760278,"score_gpt":0.3088731296016264,"score_spread":0.2358237524640237,"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."}}