{"id":"W2604776959","doi":"10.3390/batteries3020012","title":"Comparative Study of Online Open Circuit Voltage Estimation Techniques for State of Charge Estimation of Lithium-Ion Batteries","year":2017,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"State of charge; Open-circuit voltage; Voltage; Computer science; Battery (electricity); Estimation; Lithium (medication); Control theory (sociology); Observer (physics); Recursive least squares filter; Electrical engineering; Adaptive filter; Algorithm; Engineering; Control (management); Power (physics); Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002265679,0.0001918396,0.0005872826,0.0001918812,0.0001246616,0.00006531836,0.0008245373,0.00006415388,0.00002350538],"category_scores_gemma":[0.0002072088,0.0001874457,0.00003853427,0.00009683419,0.0003300574,0.0009217415,0.0003650858,0.0001190449,0.000001575512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000454049,"about_ca_system_score_gemma":0.00002146845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007550384,"about_ca_topic_score_gemma":0.00006922622,"domain_scores_codex":[0.9987664,0.00002490465,0.0005745688,0.0002050473,0.0002247726,0.0002043213],"domain_scores_gemma":[0.9984763,0.0001246487,0.0004199755,0.0007474269,0.0002088564,0.00002274519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005779571,0.00138239,0.00833643,0.003735714,0.0004209767,0.000005134379,0.01462746,0.01881085,0.6309924,0.0007991428,0.001203198,0.3191084],"study_design_scores_gemma":[0.0006333452,0.0009543117,0.02023418,0.0002388421,0.00002254812,0.000001257605,0.001221191,0.02724757,0.9468033,0.00228305,0.0001526855,0.0002077641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8596515,0.00002178086,0.1378708,0.00005812554,0.00006854528,0.001568647,0.0004454972,0.0001428415,0.000172214],"genre_scores_gemma":[0.9873262,0.00002083648,0.0121702,0.000003846145,0.00001016348,0.000273859,0.00007806703,0.00003004369,0.00008680116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3189006,"threshold_uncertainty_score":0.7643813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06901632895994517,"score_gpt":0.3705539835808251,"score_spread":0.30153765462088,"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."}}