Future motion control to be realized by in-wheel motored electric vehicle

He, Peng; Hori, Yoichi; Kamachi, Makoto; Walters, Kevin M.; Yoshida, Hiroaki

doi:10.1109/iecon.2005.1569322

Cited by 37 publications

(29 citation statements)

References 5 publications

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“…With these new configurations, normally composed by 2 or 4 electric motors, the traditional mechanical differentials are eliminated from the powertrain, as well as its energy losses, and the torque transmitted to each driven wheel can be independently controlled. Accordingly, this new degree of control can be explored to perform torque allocation based on the vehicle yaw-rate and side-slip control, which improve the vehicle handling (He et al, 2005) and the lateral safety (Geng et al, 2009). Although important, this block is still under internal development by our team (de Castro, 2010) and we are planning to incorporate it, as soon as possible, in the powertrain library.…”

Section: Vehicle Safetymentioning

confidence: 99%

FPGA Based Powertrain Control for Electric Vehicles

Castro¹,

Araújo²,

Freitas³

2011

Electric Vehicles - Modelling and Simulations

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Section: Vehicle Safetymentioning

confidence: 99%

FPGA Based Powertrain Control for Electric Vehicles

Castro¹,

Araújo²,

Freitas³

2011

Electric Vehicles - Modelling and Simulations

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“…From Eq.6, the transfer functions from steering angle an yaw moment to yaw rate can be written as: d parameters [4]. n is the damping coefficient.…”

Section: As a A Fomentioning

confidence: 99%

Improvement of EV Maneuverability and Safety by Dynamic Force Distribution with Disturbance Observer

Hori

2007

WEVJ

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Multi-wheel driven EV is referred to as an over-actuated system in the motion control synthesis process. It is meaningful to use the redundant actuators to maintain the control reliability and thus improve the dynamics of EV. In this paper, a dynamic optimum force distribution method which utilizes redundant motors is discussed. Besides, we also mention a disturbance observer to estimate the tire friction conditions. Incorporated with active yaw moment control, the proposed method is evaluated by the experiments. The results show the proposed method can improve dynamics and keep handling stability of the EV.

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“…The control of these systems is met with a number of difficulties due to process interactions, dead time and process nonlinearities [2,7]. The difference between MIMO systems control and Single-Input Single-Output (SISO) systems control is based on an estimation and compensation of the process interaction among each degree of freedom.…”

Section: Introductionmentioning

confidence: 99%

“…Driven EVs are powered by electric motors through transmission and differential gears, while directly driven vehicles are propelled by in-wheel or, simply, wheel motors [1,2]. The basic vehicle configurations of this research has two directly driven wheel motors installed and operated inside the driving wheels on a pure EV.…”

Section: Introductionmentioning

confidence: 99%

Multi-input multi-output fuzzy logic controller for utility electric vehicle

Gasbaoui¹,

Chaker²,

Adellah³

2011

Archives of Electrical Engineering

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Currently commercialization of electric vehicle (EV) is based to minimize the time of starting and acceleration. To undergo this problem multi-input multi-output fuzzy logic controller (MIMO-FLC) affect on propelled traction system forming MMS process was proposed. This paper introduces a MIMO-FLC applied on speeds of electric vehicle, the electric drive consists of two directing wheels and two rear propulsion wheels equipped with two light weight induction motors. The EV is powered by two motors of 37 kilowatts each one, delivering a 476 Nm total torque. Its high torque (476Nm) is instantly available to ensure responsive acceleration performance in built-up areas. Acceleration and steering are ensured by an electronic differential system which maintains robust control for all cases of vehicle behavior on the road. It also allows controlling independently every driving wheel to turn at different speeds in any curve. Direct torque control based on space vector modulation (DTC-SVM) is proposed to achieve the tow rear driving wheel control. The MIMO-FLC control technique is simulated in MATLAB SIMULINK environment. The simulation results have proved that the MIMO-FLC method decreases the transient oscillations and assure efficiency comportment in all type of road constraints, straight, slope, descent and curved road compared to the single input single output fuzzy controller (SISO-FLC).

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Future motion control to be realized by in-wheel motored electric vehicle

Cited by 37 publications

References 5 publications

FPGA Based Powertrain Control for Electric Vehicles

FPGA Based Powertrain Control for Electric Vehicles

Improvement of EV Maneuverability and Safety by Dynamic Force Distribution with Disturbance Observer

Multi-input multi-output fuzzy logic controller for utility electric vehicle

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