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Development of Fuzzy Logic and Neural Network Control and Advanced Emissions Modeling for Parallel Hybrid Vehicles
| 题名： | Development of Fuzzy Logic and Neural Network Control and Advanced Emissions Modeling for Parallel Hybrid Vehicles |
| 作者： | Guezennec, Y.;Rizzoni, G.;Washington, G.;Rajagopalan, A.; |
| 关键词： | HYBRID ELECTRIC VEHICLES (HEV); FUZZY CONTROLLER; ADVISOR 3.2; INTERNAL COMBUSTION ENGINE; EMISSIONS; WILLAN'S LINE; TRANSPORTATION33 ADVANCED PROPULSION SYSTEMS; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ENGINES; FUZZY LOGIC; NEURAL NETWORKS; OHIO; SIMULATION; SIMULATORS; HYBRID ELECTRIC-POWERED VEHICLES; INTERNAL COMBUSTION ENGINES |
| 摘要： | This report describes the development of new control strategies and models for Hybrid Electric Vehicles (HEV) by the Ohio State University. The report indicates results from models created in NREL's ADvanced VehIcle SimulatOR (ADVISOR 3.2), and results of a scalable IC Engine model, called in Willan's Line technique, implemented in ADVISOR 3.2. |
| 报告类型： | 科技报告 |
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