{"id":"W2028476250","doi":"10.1080/00423114.2015.1028414","title":"An optimal torque distribution control strategy for four-independent wheel drive electric vehicles","year":2015,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"CarSim; Engineering; Torque; Weighting; Automotive engineering; Control theory (sociology); Actuator; Electric vehicle; Automobile handling; Stability (learning theory); MATLAB; Electronic stability control; Control engineering; Vehicle dynamics; Control (management); Computer science; 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":[0.0004422879,0.000997123,0.0007283186,0.0006833232,0.0003747788,0.0007464802,0.001039405,0.0004019051,0.0009310538],"category_scores_gemma":[0.0004864854,0.0003034229,0.0003764071,0.0004210544,0.0004179362,0.000556685,0.0006062193,0.0004128884,0.0002166238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005909571,"about_ca_system_score_gemma":0.0006811714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00368393,"about_ca_topic_score_gemma":0.003188369,"domain_scores_codex":[0.9996668,0.00004871112,0.00002179564,0.00007407265,0.0001203326,0.00006824263],"domain_scores_gemma":[0.9997502,0.00004528806,0.00005936126,0.00001481211,0.0001070692,0.00002333109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003335878,0.0002021535,0.0009196256,0.0003360098,0.0000951307,0.0002455409,0.0001921187,0.7089858,0.03809429,0.01046844,0.001752247,0.2383751],"study_design_scores_gemma":[0.00002896277,0.0001789016,0.0003657368,0.000008980404,0.00001718762,0.00003248949,0.00002937931,0.9936011,0.002864595,0.001499866,0.001359037,0.0000136695],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02404072,0.0003290828,0.9724532,0.00007505217,0.00006236598,0.00004906931,0.00001384413,0.0001686594,0.002808127],"genre_scores_gemma":[0.9575311,0.0002100527,0.03908395,0.00004912456,0.00004416518,0.00008659758,0.00003868221,0.00003324131,0.002923223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00368393,"threshold_uncertainty_score":0.007324934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047033329680514,"score_gpt":0.2120285261763686,"score_spread":0.2015581928795635,"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."}}