{"id":"W4362473310","doi":"10.3390/en16073133","title":"Assessing the Limits of Equivalent Circuit Models and Kalman Filters for Estimating the State of Charge: Case of Agricultural Robots","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Ministère des relations internationales et de la Francophonie","keywords":"Battery (electricity); State of charge; Robot; Thévenin's theorem; Extended Kalman filter; Computer science; Kalman filter; Lithium iron phosphate; Equivalent circuit; Engineering; Simulation; Automotive engineering; Electrical engineering; Voltage; Artificial intelligence","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":[0.0001912696,0.00009051559,0.0001564482,0.00006634361,0.00006968117,0.00001922887,0.0001915653,0.00002681099,0.000001139123],"category_scores_gemma":[0.0001173855,0.00005080879,0.00003906461,0.0002419028,0.00014159,0.0002003547,0.0001116851,0.00009247616,1.790293e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001642192,"about_ca_system_score_gemma":0.000006697926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001869445,"about_ca_topic_score_gemma":0.000006562781,"domain_scores_codex":[0.9993513,0.00001754345,0.0002135673,0.00009173324,0.0001249471,0.0002009752],"domain_scores_gemma":[0.9992161,0.0004404901,0.00007343943,0.0002007247,0.00005716047,0.00001213075],"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":[0.000001104349,0.000002867976,0.00001432292,0.0002136203,0.00003040199,0.000003707912,0.0007779575,0.9035028,0.06995107,0.0003104435,0.00007839959,0.02511334],"study_design_scores_gemma":[0.0001368949,0.00003578739,0.0008134397,0.0001072308,0.00001254186,0.00002482882,0.002886513,0.7533199,0.2399876,0.002584189,0.000004351331,0.00008667674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837263,0.0003029396,0.01542123,0.0001035098,0.0000618307,0.0001698826,0.00002517669,0.000118559,0.00007058764],"genre_scores_gemma":[0.9964398,0.00008663821,0.003350546,0.000001784066,0.00001110044,0.00004406551,0.000004117296,0.00001488544,0.00004711553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1700366,"threshold_uncertainty_score":0.2071922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08878424573560582,"score_gpt":0.3389121377716034,"score_spread":0.2501278920359976,"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."}}