{"id":"W2808629792","doi":"10.3390/batteries4020029","title":"Development of an Electro-Thermal Model for Electric Vehicles Using a Design of Experiments Approach","year":2018,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nuvation (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Computer science; State of charge; Equivalent circuit; Model-based design; State of health; Software; Battery pack; Noise (video); Fidelity; Simulation; Automotive engineering; Voltage; Reliability engineering; Power (physics); Electrical engineering; Artificial intelligence; Engineering","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":[0.001074314,0.001144933,0.0008650323,0.0005608973,0.0003692017,0.0007684694,0.001416276,0.001336315,0.003674729],"category_scores_gemma":[0.001442926,0.0005391517,0.00155046,0.0004471411,0.0003629364,0.0006848736,0.0005610732,0.001074594,0.000792561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006818895,"about_ca_system_score_gemma":0.001215467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003426919,"about_ca_topic_score_gemma":0.003592624,"domain_scores_codex":[0.9995081,0.0001217315,0.00003683365,0.0001090701,0.0001884425,0.00003570155],"domain_scores_gemma":[0.9994185,0.0002860402,0.00009180987,0.00005107441,0.0001420972,0.00001044699],"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":[0.00002851783,0.00004504573,0.0003154787,0.0001926036,0.00002445926,0.00005074001,0.0000337866,0.9718157,0.007578991,0.00457686,0.0003205125,0.01501725],"study_design_scores_gemma":[0.00001445764,0.0001205815,0.0002302092,0.00001714468,0.00002735256,0.00002309813,0.00001231205,0.9900357,0.003891311,0.001810378,0.003806462,0.00001098095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007236067,0.0002079353,0.9870551,0.00006828593,0.00004169899,0.0002122795,0.000222213,0.0004111443,0.00454525],"genre_scores_gemma":[0.5042112,0.001393956,0.4744469,0.0001884567,0.00006268,0.004806905,0.0008758217,0.0001997079,0.01381434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003674729,"threshold_uncertainty_score":0.01229316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08422665425494598,"score_gpt":0.3135006063802831,"score_spread":0.2292739521253371,"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."}}