{"id":"W4389161806","doi":"10.1016/j.enconman.2023.117927","title":"A novel compact thermal management model for performance evaluation of tesla-like lithium-ion battery packs","year":2023,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thermal runaway; Battery (electricity); Computational fluid dynamics; Thermal management of electronic devices and systems; Lithium-ion battery; Automotive engineering; Coolant; Nuclear engineering; Thermal; Lithium (medication); Heat generation; Materials science; Simulation; Computer science; Mechanical engineering; Engineering; Aerospace engineering; Thermodynamics; 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":[0.0001763169,0.0005223411,0.0006009111,0.0002388799,0.0003031413,0.0006420608,0.000869831,0.0005622483,0.002828142],"category_scores_gemma":[0.0004813615,0.0002054403,0.0004258123,0.0003029405,0.0002523067,0.001012075,0.0002732969,0.0003584688,0.0006746491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005561453,"about_ca_system_score_gemma":0.0005205311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004017354,"about_ca_topic_score_gemma":0.004327779,"domain_scores_codex":[0.9998956,0.00002019961,0.000004993563,0.0000182923,0.00004360494,0.00001723584],"domain_scores_gemma":[0.9998732,0.00003964696,0.00001352888,0.00001733669,0.0000498228,0.000006368669],"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":[0.00009106525,0.00004528291,0.0004863453,0.00008547449,0.00002129597,0.00005054488,0.00004880963,0.964444,0.01398213,0.004587653,0.001063017,0.0150943],"study_design_scores_gemma":[0.000002668267,0.00002062687,0.00009718168,0.000002527576,0.000004975747,0.000009898898,0.000005167947,0.9974442,0.001515972,0.0003581374,0.0005363438,0.000002357054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1471772,0.0008591953,0.8200307,0.0002360957,0.0001063585,0.0001218365,0.000430995,0.001969351,0.02906829],"genre_scores_gemma":[0.976069,0.0002124311,0.0145597,0.00004670251,0.00001842053,0.0001149562,0.0002045933,0.0001338655,0.008640409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004017354,"threshold_uncertainty_score":0.009461105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03823072069541678,"score_gpt":0.2727233156645912,"score_spread":0.2344925949691745,"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."}}