{"id":"W2945432729","doi":"10.1109/tia.2019.2911057","title":"Real-Time Control of a Full Scale Li-ion Battery and Li-ion Capacitor Hybrid Energy Storage System for a Plug-in Hybrid Vehicle","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Battery pack; Battery (electricity); Energy storage; Automotive engineering; Capacitor; Drivetrain; Electrical engineering; Engineering; Electric vehicle; Hybrid vehicle; Power (physics); Voltage; Torque; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001325964,0.0002291099,0.0003466022,0.0003656916,0.0001123723,0.00002510363,0.0002545326,0.0002892315,0.00003798633],"category_scores_gemma":[0.000003399932,0.0002589328,0.000080172,0.0003606662,0.0001034349,0.0001998634,0.000003680525,0.0006063833,0.00003745359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003293896,"about_ca_system_score_gemma":0.00003749882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005173811,"about_ca_topic_score_gemma":0.00001450331,"domain_scores_codex":[0.9985872,0.00003708925,0.0004119904,0.0003911189,0.000195729,0.000376879],"domain_scores_gemma":[0.9988523,0.0002694596,0.00007729628,0.0006196297,0.00008167102,0.00009970245],"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":[0.000140404,0.0002212037,0.00009769868,0.0004287249,0.00008338845,0.000003462607,0.00003943257,0.2552422,0.7211676,0.0001273419,0.0002927103,0.02215579],"study_design_scores_gemma":[0.002400581,0.0003158551,0.0002530262,0.0002725639,0.00005895495,0.00007052669,0.0003405451,0.387103,0.6061441,0.0001358293,0.002374621,0.0005303852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3840671,0.00002566759,0.6137691,0.0001227349,0.0001206622,0.0008954752,0.000490303,0.0003567864,0.0001521451],"genre_scores_gemma":[0.9964449,0.00005120298,0.0006586066,0.00001140374,0.00006594708,0.00242484,0.00001727628,0.00006338579,0.0002623847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6131105,"threshold_uncertainty_score":0.9999863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00823329990969981,"score_gpt":0.2240718945767407,"score_spread":0.2158385946670409,"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."}}