{"id":"W4396575097","doi":"10.1109/apec48139.2024.10509414","title":"Effects of Regenerative Braking on Hybrid Battery Balancing","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Regenerative brake; Dynamic braking; Automotive engineering; State of charge; Battery (electricity); Transient (computer programming); Electric vehicle; Engine braking; Computer science; Voltage; Control theory (sociology); Engineering; Retarder; Electrical engineering; Brake; Physics; Control (management); Power (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002511449,0.0005524602,0.0004723168,0.000393991,0.0003818306,0.0006643488,0.0004365838,0.000390848,0.004348765],"category_scores_gemma":[0.0008565998,0.0002154624,0.000351877,0.0001519343,0.0004177988,0.0006882885,0.0005350907,0.0002861041,0.0005057821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002670086,"about_ca_system_score_gemma":0.0002468285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004856251,"about_ca_topic_score_gemma":0.004735924,"domain_scores_codex":[0.9997913,0.00003120625,0.000009486929,0.00002865504,0.00006320619,0.00007615169],"domain_scores_gemma":[0.9995372,0.0002535923,0.00005402742,0.00004893593,0.00008256588,0.0000237287],"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":[0.003212962,0.0003350187,0.005855663,0.0006495384,0.0001980167,0.0007564159,0.0004525378,0.6501483,0.2669601,0.002510608,0.0005017724,0.06841908],"study_design_scores_gemma":[0.0001106394,0.001914293,0.01100808,0.00003687041,0.000141895,0.0002410761,0.0005378436,0.9134553,0.06850101,0.001207187,0.002782358,0.00006340559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658052,0.0003793017,0.02220845,0.00007585709,0.00005225174,0.00003762611,0.00006909199,0.0003762161,0.01099605],"genre_scores_gemma":[0.9989773,0.00003704904,0.0002611928,0.000006650546,0.000002005385,0.000003636276,0.00001216812,0.000007772458,0.0006923022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004856251,"threshold_uncertainty_score":0.01454806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007258208352856852,"score_gpt":0.249629809042714,"score_spread":0.2423716006898571,"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."}}