{"id":"W3202060642","doi":"10.1016/j.est.2021.103252","title":"A comprehensive equivalent circuit model for lithium-ion batteries, incorporating the effects of state of health, state of charge, and temperature on model parameters","year":2021,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":510,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nuvation (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Equivalent circuit; Thévenin's theorem; State of charge; State of health; Electronic engineering; Lithium-ion battery; Capacitance; Voltage; Battery (electricity); Materials science; Computer science; Engineering; Electrical engineering; Chemistry; 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":[0.0002594281,0.0001707262,0.0005563361,0.0001812692,0.00004880022,0.00001370372,0.0002030208,0.00006137009,5.48501e-7],"category_scores_gemma":[0.0001513362,0.0001307773,0.0001013792,0.0001984693,0.000118879,0.0001551526,0.00008286245,0.0003518752,2.778169e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085867,"about_ca_system_score_gemma":0.0001323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005804698,"about_ca_topic_score_gemma":0.000006388379,"domain_scores_codex":[0.9985175,0.00008854415,0.0006746177,0.0001342716,0.0003435381,0.0002415608],"domain_scores_gemma":[0.9983314,0.0004218498,0.0005558959,0.0002672583,0.0003659048,0.00005771273],"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":[0.00006780362,0.00003612719,0.000009542156,0.00089328,0.00009399043,0.00001209635,0.0003702119,0.6908273,0.2963381,0.0001643803,0.0001209049,0.01106621],"study_design_scores_gemma":[0.0009343413,0.0008472779,0.0001148647,0.0007478535,0.00001814949,0.00002294352,0.0001314798,0.5586664,0.4323183,0.00597368,0.00007094069,0.000153758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8487517,0.002377567,0.1483316,0.0001703295,0.0001170112,0.0001462044,0.00008188956,0.00001517283,0.000008471896],"genre_scores_gemma":[0.9932198,0.001412499,0.005158669,0.00008521695,0.00001113364,0.00001137032,0.000005380683,0.00003409203,0.00006184098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1444681,"threshold_uncertainty_score":0.5332945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03048193699026707,"score_gpt":0.2693872627715993,"score_spread":0.2389053257813322,"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."}}