{"id":"W2891385036","doi":"10.1109/mele.2018.2849918","title":"Elements of a Robust Battery-Management System: From Fast Characterization to Universality and More","year":2018,"lang":"en","type":"article","venue":"IEEE Electrification Magazine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Battery pack; State of health; Voltage; Waveform; Universality (dynamical systems); State of charge; Electrical engineering; Computer science; Reliability engineering; Engineering; Automotive engineering; Electronic engineering; Physics; Power (physics)","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":[0.001266764,0.0007956609,0.0007377038,0.00101126,0.0004588182,0.002562982,0.001389797,0.00107053,0.002437882],"category_scores_gemma":[0.002781253,0.0005455015,0.0002806906,0.0005117643,0.001271334,0.004903237,0.001966515,0.0009468352,0.001585033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005372032,"about_ca_system_score_gemma":0.0005705552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005094713,"about_ca_topic_score_gemma":0.0003325434,"domain_scores_codex":[0.9986128,0.0001855575,0.0001015207,0.0002394455,0.0007932995,0.00006730852],"domain_scores_gemma":[0.9985006,0.0002521353,0.0001601309,0.0004345221,0.0005711014,0.00008153052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004525846,0.0001509454,0.006805089,0.0008400547,0.000119186,0.0003778813,0.0008146501,0.04299434,0.2399204,0.09260293,0.006692324,0.6082296],"study_design_scores_gemma":[0.00009093963,0.001536997,0.01171642,0.0008469097,0.000261651,0.00190654,0.0007077076,0.3172706,0.2680047,0.1511566,0.2460987,0.0004022539],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04296092,0.005703277,0.9267758,0.00196372,0.0002516567,0.0002312745,0.0002185085,0.003418973,0.01847587],"genre_scores_gemma":[0.6653298,0.003782652,0.3189567,0.0007690961,0.0003959591,0.0002981448,0.0003904859,0.0005824519,0.009494684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002562982,"threshold_uncertainty_score":0.008155525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414379468571195,"score_gpt":0.2440500636613649,"score_spread":0.2299062689756529,"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."}}