{"id":"W4402453191","doi":"10.20944/preprints202409.0793.v1","title":"A Comparison of Battery Equivalent Circuit Model Parameter Extraction Approaches Based on Electrochemical Impedance Spectroscopy","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dielectric spectroscopy; Equivalent circuit; Battery (electricity); Electrical impedance; Extraction (chemistry); Materials science; Electrochemistry; Analytical Chemistry (journal); Electrical engineering; Computer science; Electronic engineering; Engineering; Chemistry; Physics; Power (physics); Voltage; Chromatography; Electrode; Thermodynamics","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":[0.001105533,0.00118752,0.0008895001,0.001482806,0.0002430052,0.0008655199,0.001132649,0.0008221694,0.00111917],"category_scores_gemma":[0.003951657,0.0003665343,0.0008640864,0.000967361,0.0002931939,0.002092341,0.0007247736,0.0005720856,0.0005722277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003809006,"about_ca_system_score_gemma":0.0006534742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001924976,"about_ca_topic_score_gemma":0.002966298,"domain_scores_codex":[0.9991947,0.0001770585,0.0000685733,0.0001336285,0.0003968183,0.00002925222],"domain_scores_gemma":[0.9989657,0.0004866652,0.00008193126,0.0001465828,0.0003029351,0.00001609098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005024437,0.0002237799,0.006702202,0.001400318,0.000430271,0.0002580961,0.0003440996,0.2335468,0.08341455,0.006461261,0.001634226,0.665082],"study_design_scores_gemma":[0.00004117496,0.0002513908,0.004331457,0.00009967312,0.000169595,0.0003769066,0.000158934,0.9122844,0.07253943,0.003330055,0.006315277,0.000101703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07064166,0.002220604,0.9198367,0.0001648692,0.00005275249,0.00007544443,0.0001991713,0.001721723,0.005087145],"genre_scores_gemma":[0.6261442,0.003701227,0.3659042,0.0001204137,0.00004140794,0.0002232025,0.0008106164,0.0002851933,0.002769632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001924976,"threshold_uncertainty_score":0.005846679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2536638646703296,"score_gpt":0.4058739614611374,"score_spread":0.1522100967908078,"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."}}