Optimized Fuzzy Logic Control Strategy of Hybrid Vehicles Using ADVISOR
In order to increase fuel economy and decrease emitted pollution of Parallel Hybrid Vehicle (PHV), firstly a Fuzzy Logic Controller (FIX) is considered in this paper. Based on the torque desired for driving and the state of charge, its purpose is to select the optimum power split between the dual sources, which is one of the key points for PHV. Secondly, the Adaptive Neural-Fuzzy Inference System (ANFIS) method is the main contribution of this paper. ADVISOR was used as a modeling tool to determine the hybrid components and the energy management strategy parameter settings. Some simulation results are compared and discussed: the optimized FLC exhibit better performance in terms of fuel consumption and pollutant emissions.
Fuzzy Logic Controller ANFIS Control Strategy Hybrid Vehicles ADVISOR 2002
Xia MENG Nicolas LANGLOIS
Automatic & Systems Group, IRSEEM (Institut de Recherche en Systemes Electroniques Embarques) ESIGELEC, Saint Etienne du Rouvray, 76801, France
国际会议
长春
英文
444-447
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）