{"id":"W3178262918","doi":"10.20944/preprints202107.0087.v1","title":"Smart Core and Surface Temperature Estimation Techniques for Health-conscious Lithium-ion Battery Management Systems: A Model-to-Model Comparison","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Kalman filter; Online model; Computer science; MATLAB; Core (optical fiber); Process (computing); Reliability (semiconductor); Heat generation; Lithium-ion battery; Reliability engineering; Simulation; Engineering; 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":[0.0005602799,0.0006749469,0.000778205,0.0003383118,0.0002422737,0.0008406707,0.0006008779,0.0006159645,0.001740173],"category_scores_gemma":[0.001338496,0.0002274815,0.0007024448,0.0002552808,0.000178686,0.0007994438,0.000465282,0.0006460365,0.0003822196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004678112,"about_ca_system_score_gemma":0.0005101964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005587349,"about_ca_topic_score_gemma":0.003076128,"domain_scores_codex":[0.9998055,0.0000558353,0.00001447285,0.00003845509,0.00006511201,0.00002069505],"domain_scores_gemma":[0.9995351,0.0002495785,0.00004227666,0.0000428315,0.0001187074,0.00001158514],"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":[0.0002919798,0.0001063741,0.001656899,0.000310171,0.00007844235,0.00006677307,0.0001127192,0.9055532,0.007180449,0.001964187,0.0008227971,0.08185598],"study_design_scores_gemma":[0.000005536984,0.00007968397,0.0005032691,0.000009311553,0.00001357952,0.00001520551,0.00001521039,0.9970505,0.001492484,0.000318002,0.0004912017,0.00000595335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1891843,0.003462601,0.7922992,0.0005106849,0.0001280055,0.0001713919,0.0002298129,0.002694893,0.01131926],"genre_scores_gemma":[0.9710885,0.0009395309,0.02556442,0.0000533919,0.00002010251,0.0001010662,0.000181637,0.00008606451,0.001965168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005587349,"threshold_uncertainty_score":0.01110965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108520363435526,"score_gpt":0.3810869069702461,"score_spread":0.2702348706266935,"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."}}