Intelligent Sensorless ABS for In-Wheel Electric Vehicles

Dadashnialehi, Amir; Bab–Hadiashar, Alireza; Cao, Zhenwei; Kapoor, Ajay

doi:10.1109/tie.2013.2266085

Cited by 57 publications

(22 citation statements)

References 35 publications

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“…At present, there are several vehicle stability control methods reported in the literature, such as direct yaw‐moment control, antilock braking system, traction control system, and active front steering (AFS). Among these methods, AFS may be the simplest active safe control technique to maintain the stability of the EV because it is only required to provide an additional angle to modify the steering angle of the front wheel without changing the steering wheel angle …”

Section: Afs Control System Design For Electric Vehiclementioning

confidence: 99%

A novel adaptive nonsingular terminal sliding mode controller design and its application to active front steering system

Ding

Liu

Park

2019

Intl J Robust & Nonlinear

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Summary Note that the amplitude of chattering existing in the sliding mode control method is proportional to the magnitude of the control gain. Therefore, the key issue to diminish the chattering is to decrease the value of sliding mode controller's gain to an acceptable minimal level defined by the so‐called reaching condition for the sliding mode's existence. For this reason, the nonsingular terminal sliding mode (NTSM) control method and the adaptive technique have been considered in this paper to develop a novel adaptive NTSM control method, which can be used to search the minimal value of the control gain automatically in the presence of the external disturbances. Meanwhile, the average value of a high‐frequency switching signal in the adaptive law can be provided by Arie Levant's differentiator rather than a low‐pass filter. The rigorous mathematical proof verifies that the system states can converge to the origin within a finite time under the proposed adaptive NTSM controller. Both the academic example and the practical application to an active front steering system are illustrated to show that the presented adaptive NTSM controller has better control performance than the conventional sliding mode controller.

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Section: Afs Control System Design For Electric Vehiclementioning

confidence: 99%

A novel adaptive nonsingular terminal sliding mode controller design and its application to active front steering system

Ding

Liu

Park

2019

Intl J Robust & Nonlinear

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“…Most of the work here is in the context of motoring, although the BEGA is aimed at generation. With in-wheel drives, the machine works both as a motor and a regenerative brake, and individual wheel drives lead to the possibilities of functions such as electronic antilock braking regeneration [90] and electrical differential.…”

Section: Conclusion and Future Trendsmentioning

confidence: 99%

Automotive Electric Propulsion Systems With Reduced or No Permanent Magnets: An Overview

Boldea

Tutelea

Parsa

et al. 2014

IEEE Trans. Ind. Electron.

683

245

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Hybrid and electric vehicle technology has seen rapid development in recent years. The motor and the generator are at the heart of the vehicle drive and energy system and often utilize expensive rare-earth permanent magnet (PM) material. This paper reviews and addresses the research work that has been carried out to reduce the amount of rare-earth material that is used while maintaining the high efficiency and performance that rare-earth PM machines offer. These new machines can use either less rare-earth PM material, weaker ferrite magnets, or no magnets; and they need to meet the high performance that the more usual interior PM synchronous motor with sintered neodymium-iron-boron magnets provides. These machines can take the form of PM-assisted synchronous reluctance machines, induction machines, switched reluctance machines, wound rotor synchronous machines (claw pole or biaxially excited), doublesaliency machines with ac or dc stator current control, or brushless dc multiple-phase reluctance machines.

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“…Some interesting solutions have recently arisen in this field. Most of them are using information provided by advanced sensor technique as well as dynamic parameters of electric motors [15][16][17]. As the main estimation tools, traditional approaches as Recursive Least Square estimation and Kalman filtering [16,18] or H-infinity [19] still are being widely applied for EVs.…”

Section: ) Observation Tools For Somsmentioning

confidence: 99%

Interdisciplinary design methodology for systems of mechatronic systems focus on highly dynamic environmental applications

Ivanov

Ruderman

Schiffer

et al. 2017

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society

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Intelligent Sensorless ABS for In-Wheel Electric Vehicles

Cited by 57 publications

References 35 publications

A novel adaptive nonsingular terminal sliding mode controller design and its application to active front steering system

A novel adaptive nonsingular terminal sliding mode controller design and its application to active front steering system

Automotive Electric Propulsion Systems With Reduced or No Permanent Magnets: An Overview

Interdisciplinary design methodology for systems of mechatronic systems focus on highly dynamic environmental applications

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