{"id":"W4226083168","doi":"10.3390/en15020623","title":"Smart Core and Surface Temperature Estimation Techniques for Health-Conscious Lithium-Ion Battery Management Systems: A Model-to-Model Comparison","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Kalman filter; Online model; MATLAB; Core (optical fiber); Computer science; Process (computing); Extended Kalman filter; Lithium-ion battery; Simulation; Reliability engineering; Engineering; Power (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":[0.0006096645,0.0006909997,0.0007949137,0.0003681036,0.0002535779,0.0007661237,0.0005860441,0.0006337044,0.001505705],"category_scores_gemma":[0.001475332,0.0002359339,0.0007069673,0.0002534742,0.0001779446,0.0008231438,0.0004479117,0.0006435022,0.0003150594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004923393,"about_ca_system_score_gemma":0.0005391691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005856331,"about_ca_topic_score_gemma":0.00334072,"domain_scores_codex":[0.9998063,0.00005636716,0.00001459244,0.00003805658,0.00006288403,0.00002181524],"domain_scores_gemma":[0.9994643,0.0002888906,0.00004580465,0.00005224215,0.0001372126,0.00001149106],"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":[0.0002701961,0.0001086789,0.001459426,0.0002488905,0.00006491215,0.00005312188,0.00009571344,0.9289225,0.006920781,0.00157755,0.0005277978,0.05975036],"study_design_scores_gemma":[0.000005376151,0.0000773933,0.0004237447,0.000006839336,0.00001189138,0.00001116627,0.0000136022,0.9973804,0.00151351,0.0002238751,0.0003268401,0.000005273072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2512519,0.002510648,0.7329891,0.0004371931,0.0001064539,0.0001970587,0.0002403465,0.002472187,0.009795081],"genre_scores_gemma":[0.9736683,0.0006361738,0.02390215,0.00003891377,0.00001385984,0.0001005416,0.0001539592,0.00006951527,0.001416663],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005856331,"threshold_uncertainty_score":0.01164448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02844765983192417,"score_gpt":0.3084424658480855,"score_spread":0.2799948060161614,"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."}}