{"id":"W2284431200","doi":"10.3384/ecp15118469","title":"Developing Mathematical Models of Batteries in Modelica for Energy Storage Applications","year":2015,"lang":"en","type":"article","venue":"Linköping electronic conference proceedings","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Maple Leaf Foods","funders":"","keywords":"Modelica; Battery (electricity); Computer science; Component (thermodynamics); Energy storage; Fidelity; Mathematical model; High fidelity; Reliability engineering; Systems engineering; Control engineering; Electrical engineering; Simulation; Engineering; Telecommunications","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":[0.0008609179,0.001311104,0.0007899993,0.0008155078,0.0004929787,0.001732387,0.002094499,0.001343649,0.006545271],"category_scores_gemma":[0.003483087,0.0008628992,0.001242521,0.0007711878,0.0005908588,0.002378963,0.0009888343,0.002843897,0.005165273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006651725,"about_ca_system_score_gemma":0.001184627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003780756,"about_ca_topic_score_gemma":0.004877884,"domain_scores_codex":[0.9994864,0.0001418519,0.00005063498,0.00005913927,0.0002365401,0.00002536412],"domain_scores_gemma":[0.9991892,0.0003985592,0.00005623274,0.0001241783,0.0002213774,0.00001046684],"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":[0.00003591453,0.00006569432,0.0003323603,0.0007653949,0.00008354569,0.0002382432,0.0002803858,0.7105487,0.01015516,0.2011027,0.005935825,0.0704561],"study_design_scores_gemma":[0.0000153543,0.00003043503,0.00007946319,0.00009806239,0.00003010074,0.00008707014,0.0000347569,0.9227709,0.005495493,0.03888219,0.03245633,0.0000198967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000759054,0.0001918988,0.9941983,0.00009330262,0.00004153598,0.00004342547,0.0001404525,0.001001431,0.003530662],"genre_scores_gemma":[0.1390883,0.003076327,0.8346614,0.0003652691,0.0001372792,0.001170399,0.001648863,0.001059004,0.01879317],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006545271,"threshold_uncertainty_score":0.02189612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05729187201737359,"score_gpt":0.2905063224316298,"score_spread":0.2332144504142562,"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."}}