Title: An investigation on energy regeneration in a CFA6470 parallel hybrid electric vehicle using fuzzy logic
Authors: Y.W. Deng, J.K. Gong, J. Yang, L.G. Tan
Addresses: Research Center for Advanced Powertrain Technology, College of Mechanical and Automobile Engineering, Hunan University, Changsha, Hunan 410082, China. ' Research Center for Advanced Powertrain Technology, College of Mechanical and Automobile Engineering, Hunan University, Changsha, Hunan 410082, China. ' Research Center for Advanced Powertrain Technology, College of Mechanical and Automobile Engineering, Hunan University, Changsha, Hunan 410082, China. ' Research Center for Advanced Powertrain Technology, College of Mechanical and Automobile Engineering, Hunan University, Changsha, Hunan 410082, China
Abstract: The energy regenerative braking system (ERBS) of the CFA6470 parallel hybrid electric vehicle (CFA6470PHEV) has been designed using the T-S fuzzy model and fuzzy control toolbox in the MATLAB. The inputs and outputs of the system, along with their membership functions, are reported. The T-S fuzzy model is established for the system and the fuzzy inference system (FIS) is also established. The simulation results indicate that, in the course of driving, the braking torque provided by the electrical motor is controlled in the region that the electrical motor permits, the mechanical braking torque can reach a high value, and the results are consistent with the model.
Keywords: ERBS; energy regenerative braking system; fuzzy logic; PHEV; T-S fuzzy model; parallel HEV; hybrid electric vehicles; fuzzy modelling; fuzzy control; fuzzy inference; braking torque.
DOI: 10.1504/IJEHV.2008.019899
International Journal of Electric and Hybrid Vehicles, 2008 Vol.1 No.3, pp.238 - 247
Published online: 14 Aug 2008 *
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