scholarly journals Traction Control of Electric Vehicle by Model Predictive PID Controller

2011 ◽  
Vol 77 (781) ◽  
pp. 3375-3385 ◽  
Author(s):  
Tohru KAWABE ◽  
Yosuke KOGURE ◽  
Kou NAKAMURA ◽  
Koichi MORIKAWA ◽  
Tetsuro ARIKAWA
Author(s):  
Juan Sebastián Núñez ◽  
Luis Ernesto Muñoz

This paper presents the conceptual design of the traction control system of a high performance electric vehicle with four driven wheels, intended to be used in quarter mile competitions. Different models of the longitudinal and vertical vehicle’s dynamics are presented, in order to consider the coupling dynamics of front and rear wheels. Two slip control strategies are proposed so as to maximize the traction forces of the wheels. The first one consists of a traditional control scheme applied to each wheel of the vehicle. Since the interaction between the tire and the road is often poorly known, the second controller proposed consists of a perturbation based extremum seeking control (PBESC), in order to maximize the traction force without knowledge of the road and the tire characteristics. Finally an auto tuning process based on low discrepancy sequences for both control systems is presented.


2010 ◽  
Vol 20-23 ◽  
pp. 215-219 ◽  
Author(s):  
Chuan Wei Zhang

This paper discusses different drive control methods of electric vehicle (EV), presents the design of H∞ robust controller for driving control, with the consideration of protecting the battery. Research work is done under different conditions namely variable battery voltage and variable load rotational inertia separately. Experiments show that the H∞ robust controller has better performance than the PID controller in both steady-state tracking error and response speed. Moreover, the H∞ robust controller can improve the drive range of electric vehicle.


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