{"id":"W2568500497","doi":"10.1016/j.epsr.2016.12.029","title":"Online parameter and state estimation of lithium-ion batteries under temperature effects","year":2017,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Computer science; Observer (physics); Battery (electricity); Compensation (psychology); Stability (learning theory); Lyapunov stability; Estimation theory; Control engineering; Algorithm; Engineering; Power (physics); Control (management); Artificial intelligence; Machine learning","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":[0.0002431835,0.0004017153,0.0005412839,0.0002582136,0.0002126003,0.0006723993,0.0003870472,0.0003999422,0.0005644017],"category_scores_gemma":[0.00133738,0.0001991525,0.0002189298,0.0001985735,0.0002336122,0.0007707932,0.0004024187,0.0003224549,0.000208135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002596405,"about_ca_system_score_gemma":0.0002361054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00262634,"about_ca_topic_score_gemma":0.00248785,"domain_scores_codex":[0.999882,0.00001988077,0.000009108451,0.00003385379,0.00003547369,0.0000196516],"domain_scores_gemma":[0.9995828,0.0002114406,0.00005848468,0.00004219522,0.00009290977,0.00001204195],"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":[0.001296455,0.0002045079,0.01552199,0.0002537214,0.0001232673,0.0003078522,0.0003020422,0.7157717,0.07327635,0.001664243,0.001004239,0.1902736],"study_design_scores_gemma":[0.000005772235,0.00004104235,0.003454769,0.000003853276,0.00001195933,0.00002769257,0.00002523284,0.9862671,0.009510525,0.0004601658,0.0001811504,0.00001073292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7052998,0.0008334952,0.2896039,0.0002170554,0.00006499526,0.00002556066,0.0001869201,0.000768717,0.002999487],"genre_scores_gemma":[0.9973355,0.00005810657,0.00206333,0.000008578939,0.00000686298,0.00000595123,0.00006284671,0.000009897359,0.0004489813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00262634,"threshold_uncertainty_score":0.005222142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444952455330662,"score_gpt":0.3305944719863773,"score_spread":0.3061449474330706,"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."}}