A Simple Fuzzy Logic Based Power Control for a Series Hybrid Electric Vehicle

2015 ◽  
Author(s):  
Zsolt Csaba Johanyak
Keyword(s):  
Fuzzy Logic ◽  
Power Control ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Series Hybrid Electric Vehicle ◽  
Hybrid Electric

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.

Match and Optimization of Series Hybrid Bus Powertrain Parameters

2011 ◽  
Vol 121-126 ◽  
pp. 2710-2714
Author(s):  
Ling Cai ◽  
Xin Zhang
Keyword(s):  
Electric Vehicle ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Simulation Platform ◽  
Optimal Method ◽  
Orthogonal Method ◽  
Series Hybrid Electric Vehicle ◽  
Hybrid Bus ◽  
Promising Solution ◽  
Hybrid Electric

With the requirements for reducing emissions and improving fuel economy, it has been recognized that the electric, hybrid electric powered drive train technologies are the most promising solution to the problem of land transportation in the future. In this paper, the parameters of series hybrid electric vehicle (SHEV), including engine-motor, battery and transmission, are calculated and matched. Advisor software is chosen as the simulation platform, and the major four parameters are optimized in orthogonal method. The results show that the optimal method and the parameters can improve the fuel economy greatly.

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