{"id":"W3119964128","doi":"10.1109/tte.2021.3050987","title":"Sensitivity Analysis and Joint Estimation of Parameters and States for All-Solid-State Batteries","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Sensitivity (control systems); Battery (electricity); Discretization; State of charge; Control theory (sociology); Kalman filter; State-space representation; Lithium (medication); Joint (building); Voltage; Lithium-ion battery; Nonlinear system; Mathematics; Computer science; Algorithm; Engineering; Statistics; Physics; Electronic engineering; Power (physics); Thermodynamics; Mathematical analysis; Electrical engineering","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":[0.002044473,0.0009971173,0.0008395987,0.0008058655,0.0004236182,0.0009225111,0.00055138,0.000757004,0.0005990341],"category_scores_gemma":[0.008247592,0.0005002515,0.001269303,0.0004417792,0.0007357642,0.001223573,0.001125963,0.0008951541,0.00007872024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008797869,"about_ca_system_score_gemma":0.0007151128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008393961,"about_ca_topic_score_gemma":0.002685476,"domain_scores_codex":[0.9989862,0.000305809,0.00006268837,0.0001964924,0.0003530507,0.00009570822],"domain_scores_gemma":[0.9968086,0.002370415,0.0002456264,0.0002001394,0.0003439115,0.00003137838],"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":[0.00004617365,0.00001344341,0.001545629,0.00005768052,0.00005687683,0.00007225311,0.00005523564,0.9862204,0.002383973,0.002040781,0.00009995703,0.007407721],"study_design_scores_gemma":[0.000002499873,0.000015978,0.0006618605,0.000005685049,0.00001371001,0.00001791611,0.00001474971,0.9954008,0.001641391,0.002079654,0.000132342,0.00001329378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1194421,0.0005423944,0.877193,0.0002143196,0.0000335528,0.00005397172,0.000111558,0.0003486272,0.002060387],"genre_scores_gemma":[0.9890436,0.0002017937,0.01006903,0.00003221357,0.000008899387,0.00004669505,0.00008962897,0.0000309391,0.000477278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008393961,"threshold_uncertainty_score":0.01669025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708687436962443,"score_gpt":0.2707984040236433,"score_spread":0.2537115296540189,"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."}}