Well to wheels energy and emissions analysis of a recycled 1974 VW Super Beetle converted into a plug-in series hybrid electric vehicle

Acceleration control using fuzzy logic is investigated in this paper for a plug-in series hybrid electric vehicle in order to improve the vehicle response to drivers demand. The transient process of acceleration is mainly considered in this research. Fuzzy logic is used for motor transient torque control according to drivers input and vehicle velocity, outputting a regulatory factor to increase motor torque transiently when drivers acceleration pedal is pushed down deeply and to reduce the torque increment when acceleration process is close to over. Performance of fuzzy control is tested by MATLAB simulation. Simulation results indicate that the presented fuzzy algorithm is feasible and effective for improving vehicle acceleration ability without damaging stable velocity control characteristic; in simulation, vehicle acceleration time of 0-100km/h has been reduced by 2.4 seconds.

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Development of an Energy Management Strategy for Plug-in Series Hybrid Electric Vehicle Based on the Prediction of the Future Driving Cycles by ICT Technologies and Optimized Maps

10.4271/2011-01-0892 ◽

2011 ◽

Cited By ~ 4

Author(s):

Teresa Donateo ◽

Damiano Pacella ◽

Domenico Laforgia

Keyword(s):

Electric Vehicle ◽

Energy Management ◽

Management Strategy ◽

Hybrid Electric Vehicle ◽

Energy Management Strategy ◽

Driving Cycles ◽

Series Hybrid Electric Vehicle ◽

The Future ◽

In Series ◽

Hybrid Electric

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Dynamic modeling and simulation of an induction motor with adaptive backstepping design of an input-output feedback linearization controller in series hybrid electric vehicle

Serbian Journal of Electrical Engineering ◽

10.2298/sjee0702119j ◽

2007 ◽

Vol 4 (2) ◽

pp. 119-132 ◽

Cited By ~ 3

Author(s):

Mehran Jalalifar ◽

Farrokh Payam ◽

Saghaeian Nezhad ◽

Hassan Moghbeli

Keyword(s):

Induction Motor ◽

Electric Vehicle ◽

Output Feedback ◽

Feedback Linearization ◽

Hybrid Electric Vehicle ◽

Input Output ◽

Adaptive Backstepping ◽

Series Hybrid Electric Vehicle ◽

In Series ◽

Hybrid Electric

In this paper using adaptive backstepping approach an adaptive rotor flux observer which provides stator and rotor resistances estimation simultaneously for induction motor used in series hybrid electric vehicle is proposed. The controller of induction motor (IM) is designed based on input-output feedback linearization technique. Combining this controller with adaptive backstepping observer the system is robust against rotor and stator resistances uncertainties. In additional, mechanical components of a hybrid electric vehicle are called from the Advanced Vehicle Simulator Software Library and then linked with the electric motor. Finally, a typical series hybrid electric vehicle is modeled and investigated. Various tests, such as acceleration traversing ramp, and fuel consumption and emission are performed on the proposed model of a series hybrid vehicle. Computer simulation results obtained, confirm the validity and performance of the proposed IM control approach using for series hybrid electric vehicle.

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