{"id":"W4396575108","doi":"10.1109/apec48139.2024.10509210","title":"Rapid Parameterization of Lithium-ion Batteries using Frequency Window Identification Technique for On-board Charge Control and Battery Management","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Window (computing); Battery (electricity); Lithium (medication); Identification (biology); Ion; Charge (physics); State of charge; Lithium-ion battery; Automatic frequency control; Computer science; Materials science; Electrical engineering; Engineering; Chemistry; Physics; 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":[0.0002327365,0.0003775886,0.0002947409,0.0005630442,0.0001482606,0.0004064764,0.0003890748,0.0003120676,0.001134725],"category_scores_gemma":[0.0005884941,0.0001133835,0.0001614583,0.0003608022,0.0001144328,0.0009006003,0.0002813379,0.0002308269,0.0003303272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200939,"about_ca_system_score_gemma":0.0001370203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003663949,"about_ca_topic_score_gemma":0.0005306466,"domain_scores_codex":[0.9998785,0.00001246934,0.000009407137,0.00002450041,0.00006432408,0.00001072749],"domain_scores_gemma":[0.9998773,0.00003178305,0.00001918181,0.00002106031,0.0000458116,0.000004887605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001730879,0.00007417289,0.002629623,0.0001820656,0.00001363074,0.0001602713,0.0002097619,0.005781341,0.7702676,0.000877536,0.000597933,0.219033],"study_design_scores_gemma":[0.00001816703,0.0003743678,0.01080581,0.00002185736,0.00002893032,0.0004728379,0.0002017967,0.1811991,0.798645,0.001205547,0.006976325,0.00005025493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3804615,0.001309176,0.6125759,0.0001306719,0.00008355927,0.0001657457,0.000229173,0.001846268,0.003198075],"genre_scores_gemma":[0.9136978,0.0007056849,0.08309942,0.00004444547,0.00001956665,0.0001366048,0.0002220214,0.00008187334,0.001992532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001134725,"threshold_uncertainty_score":0.003796041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168606625882711,"score_gpt":0.2751776566454753,"score_spread":0.2534915903866482,"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."}}