MODELLING AND CONTROL OF POWER-SPLIT HYBRID ELECTRIC VEHICLE USING FUZZY LOGIC METHOD

Yıl 2014, Cilt: 6 Sayı: 1, 1 - 13, 01.03.2014

Ebrahim Mohammadpour Mehrdad Nouri Khajavi

https://doi.org/10.24107/ijeas.251212

Cited By: 2

Öz

Nowadays, automotive manufactures increasingly have lead to development of hybrid vehicles due to energy consumption growing and increased emissions. the power-split hybrids due to the simultaneous using of speed and torque couplings has integrated advantage of series and parallel hybrid systems and minimize their disadvantages , however the power-split hybrids control strategy is far more complex than other types. Generally the control strategy tries to use the optimize operating point of HEV components such as ICE, TM, MG, batteries and etc. in this research the using of fuzzy logic control method is considered to increase optimize the power-split Hybrid components operation. The power-split HEVs model have been built with ADVISOR-Matlab/Simulink Software for an C class car based on TOYOTA Prius Model, and the simulation results showed significant improvements in fuel consumption and performance and as well as emissions

Anahtar Kelimeler

internal combustion engine (ICE), traction motor(TM), hybrid electric vehicle (HEV), power-split device, motor/generator (MG)

Kaynakça

• [1] R. Rajamani, Vehicle Dynamics and Control, pp. 461-469, Springer, 2012 . [2] Advaced Vehicle Simulator, ADVISOR of the National Renewable Energy Laboratory (NREL) of US Department of Energy, 2002.
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• [4] M. Amiri, et al., Feed-forward modelling and fuzzy logic based control strategy for powertrain efficiency improvement in a parallel hybrid electric vehicle, Mathematical and Computer Modelling of Dynamical Systems, 15, 2009, pp. 191-207.
• [5] W. Wang, Revisions on the Model of Toyota Prius in ADVISOR 3.1, SAE Tech., 2002-01- 0993, 2002.
• [6] A. Ahmed and S. Cui, Control and analysis of regenerative power distribution on electrical variable transmission using fuzzy logic on HEV system, Ieee Electrical Machines and Systems (ICEMS), 2011, pp. 1-6.