{"id":"W4394711378","doi":"10.1002/cjce.25263","title":"Two‐layer dynamic economic nonlinear model predictive control for a lithium‐ion battery charge process with random disturbances","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; National Science and Technology Council","keywords":"Control theory (sociology); Battery (electricity); Model predictive control; Nonlinear system; Computer science; State of charge; Trajectory; Lithium-ion battery; Process (computing); Power (physics); Mathematical optimization; Mathematics; Control (management); Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008171441,0.0008143566,0.0008025476,0.0003368032,0.0006345354,0.001146877,0.0009572994,0.0007997025,0.001029645],"category_scores_gemma":[0.001429718,0.0003870545,0.0005581287,0.0003572857,0.0007624999,0.0007106551,0.0007402467,0.0008487877,0.0001054302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00126326,"about_ca_system_score_gemma":0.001322316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03508982,"about_ca_topic_score_gemma":0.01466705,"domain_scores_codex":[0.9996008,0.00009048243,0.00002129527,0.00008425786,0.0001403901,0.00006276315],"domain_scores_gemma":[0.9993748,0.0002717673,0.00009734277,0.00003605659,0.0001982763,0.00002182702],"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":[0.00004078307,0.00001431361,0.0002512868,0.00002146329,0.00001450323,0.0000400606,0.00001607301,0.9930521,0.0005953375,0.001116264,0.0001127708,0.004724979],"study_design_scores_gemma":[0.000002180746,0.000005332065,0.00004306209,5.119219e-7,0.000001616193,0.000001120961,9.329866e-7,0.9997544,0.00008236948,0.00008739167,0.00001998475,0.000001174538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1351162,0.0004874328,0.8562185,0.0004074881,0.0001088738,0.00006997227,0.00005046199,0.0004128067,0.007128213],"genre_scores_gemma":[0.9934354,0.00007141974,0.005264891,0.00002657213,0.000010512,0.00003422778,0.0000194821,0.00000631686,0.001131253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03508982,"threshold_uncertainty_score":0.06977117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006818845032251057,"score_gpt":0.2287747574914782,"score_spread":0.2219559124592272,"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."}}