{"id":"W4389610049","doi":"10.1109/tte.2023.3341695","title":"Performance Analysis of Empirical Open-Circuit Voltage Modeling in Lithium-Ion Batteries—Part 3: Experimental Results","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; Battery (electricity); Voltage; Polynomial; Equivalent circuit; Open-circuit voltage; Empirical modelling; Computer science; Polynomial and rational function modeling; Simulation; Engineering; Mathematics; Electrical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001852095,0.0009997035,0.0006650083,0.0008075732,0.0004785798,0.0009784652,0.001381168,0.00113808,0.002122463],"category_scores_gemma":[0.006186777,0.0002725394,0.0005445947,0.0008117031,0.0004884576,0.001485458,0.0006871393,0.000652067,0.0005654088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127198,"about_ca_system_score_gemma":0.0003433702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00260021,"about_ca_topic_score_gemma":0.001993307,"domain_scores_codex":[0.9984689,0.0002755084,0.0001593383,0.0002701458,0.0007148693,0.0001111247],"domain_scores_gemma":[0.9965069,0.001193192,0.000288219,0.0007531362,0.001202007,0.0000565541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001880114,0.00152662,0.03366458,0.001399823,0.0002881899,0.0005853873,0.001310269,0.5243795,0.2576447,0.003759005,0.003512106,0.1700498],"study_design_scores_gemma":[0.0000314048,0.002606044,0.0107817,0.00006118018,0.0000541187,0.0002275186,0.0003919581,0.6417599,0.3402829,0.0008380426,0.002872192,0.00009312845],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500571,0.0007039499,0.04315301,0.0001802565,0.00006207565,0.0001522687,0.001087387,0.001231617,0.003372461],"genre_scores_gemma":[0.9948053,0.0001365395,0.003806699,0.00002561438,0.000008257324,0.00005855033,0.0004456741,0.000049537,0.0006637672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00260021,"threshold_uncertainty_score":0.00979495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0699960012413966,"score_gpt":0.3256521095138155,"score_spread":0.2556561082724189,"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."}}