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Fuzzy torque distribution control for a parallel hybrid vehicle
Author(s) -
Won JongSeob,
Langari Reza
Publication year - 2002
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/1468-0394.00184
Subject(s) - computer science , driving cycle , torque , controller (irrigation) , electric vehicle , energy management , fuzzy logic , range (aeronautics) , mode (computer interface) , power (physics) , power management , fuzzy control system , automotive engineering , energy (signal processing) , control theory (sociology) , control (management) , artificial intelligence , engineering , statistics , physics , mathematics , quantum mechanics , biology , agronomy , thermodynamics , aerospace engineering , operating system
A fuzzy torque distribution controller for energy management (and emission control) of a parallel hybrid electric vehicle is proposed. The proposed controller is implemented in terms of a hierarchical architecture which incorporates the mode of operation of the vehicle as well as empirical knowledge of energy flow in each mode. Moreover, the rule set for each mode of operation of the vehicle is designed in view of an overall energy management strategy that ranges from maximal emphasis on battery charge sustenance to complete reliance on the electrical power source. The proposed control system is evaluated via computational simulations under the FTP75 urban drive cycle. Simulation results reveal that the proposed fuzzy torque distribution strategy is effective over the entire operating range of the vehicle in terms of performance, fuel economy and emissions.