Multistability analysis and nonlinear vibration for generator set in series hybrid electric vehicle through electromechanical coupling

2021 ◽  
Vol 31 (7) ◽  
pp. 073126
Author(s):  
Maxim Idriss Tametang Meli ◽  
Gervais Dolvis Leutcho ◽  
David Yemele
Keyword(s):  
Nonlinear Vibration ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Electromechanical Coupling ◽  
Series Hybrid Electric Vehicle ◽  
In Series ◽  
Hybrid Electric

Energy and Battery Management of a Plug-In Series Hybrid Electric Vehicle Using Fuzzy Logic

2011 ◽  
Vol 60 (8) ◽  
pp. 3571-3585 ◽  
Author(s):  
S. G. Li ◽  
S. M. Sharkh ◽  
F. C. Walsh ◽  
C. N. Zhang
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Battery Management ◽  
Series Hybrid Electric Vehicle ◽  
In Series ◽  
Hybrid Electric

Optimization of Control Strategy for Engine Start-stop in a Plug-in Series Hybrid Electric Vehicle

2010 ◽  
Author(s):  
Xianjing Li ◽  
Liguang Li ◽  
Yongzheng Sun ◽  
Zongjie Hu ◽  
Jun Deng
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Series Hybrid Electric Vehicle ◽  
In Series ◽  
Hybrid Electric ◽  
Engine Start

Acceleration Control for a Plug-in Series Hybrid Electric Vehicle

2013 ◽  
Vol 380-384 ◽  
pp. 499-503
Author(s):  
Ze Yu Chen ◽  
Ying Yang ◽  
Guang Yao Zhao ◽  
Xue Jiao Li
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Torque Control ◽  
Acceleration Process ◽  
Matlab Simulation ◽  
Series Hybrid Electric Vehicle ◽  
Vehicle Acceleration ◽  
In Series ◽  
Hybrid Electric

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.

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

2007 ◽  
Vol 4 (2) ◽  
pp. 119-132 ◽  
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.

Multi-objective energy management for Atkinson cycle engine and series hybrid electric vehicle based on evolutionary NSGA-II algorithm using digital twins

2021 ◽  
Vol 230 ◽  
pp. 113788 ◽  
Author(s):  
Yangyang Li ◽  
Shuqian Wang ◽  
Xiongbo Duan ◽  
Shujing Liu ◽  
Jingping Liu ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Energy Management ◽  
Hybrid Electric Vehicle ◽  
Nsga Ii ◽  
Multi Objective ◽  
Atkinson Cycle ◽  
Digital Twins ◽  
Series Hybrid Electric Vehicle ◽  
Hybrid Electric
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