Stability Enhancement of Four-in-Wheel Motor-Driven Electric Vehicles Using an Electric Differential System

Hartani, Kada; Merah, Abdelkader; Draou, A.

doi:10.6113/jpe.2015.15.5.1244

Cited by 17 publications

(10 citation statements)

References 22 publications

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“…A direct yaw moment control strategy was introduced for the four-wheel electric vehicles [6]. A novel embedded engineering control method is included in the proposed process, which successfully overcomes parameter variation [7]. A combined AFS/DYC differential method is used for vehicle lateral stability and vehicle handling performance based on the variation of longitudinal velocity [8].…”

Section: Introductionmentioning

confidence: 99%

Electronic Differential System Based on Adaptive SMC Combined with QP for 4WID Electric Vehicles

Zhang

Liu

Chen

2021

WEVJ

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This study investigates an adaptive differential control system for 4WID (4-wheel-independent-drive) electric vehicles. The novel adaptive system will maneuver the independently operating hub motors without the help of any conventional steering mechanism. The control system consists of a hierarchical structure to confront the vehicle stability condition, which includes a novel SMC (sliding mode control) with a fuzzy algorithm parameter modification to achieve the required virtual control signal at the top level, and a quadratic programming-based torque allocation algorithm at the bottom-level controller. The proposed controller was tested through Simulink/Carsim simulation and experiments. All the test cases showed the advantages of the proposed method over some of the currently existing 4WID control strategies.

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Section: Introductionmentioning

confidence: 99%

Electronic Differential System Based on Adaptive SMC Combined with QP for 4WID Electric Vehicles

Zhang

Liu

Chen

2021

WEVJ

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“…In a Fuzzy‐PI based ASR scheme for appropriate estimation of wheel torque is proposed. However, the above‐proposed technique lags their performance and stability due to the absence of the antiskid function 28 . As a solution in to improve the stability and vehicle safety, an FLC based antiskid control technique is suggested.…”

Section: Introductionmentioning

confidence: 99%

“…However, the aboveproposed technique lags their performance and stability due to the absence of the antiskid function. 28 As a solution in to improve the stability and vehicle safety, an FLC based antiskid control technique is suggested. In addition to that, a sliding mode control-based wheel slip controller is suggested for MCMS.…”

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confidence: 99%

Robust control approach for stability and power quality improvement in electric car

Sahoo

Routray

Rout

2020

Int Trans Electr Energ Syst

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This paper proposes a combined electrical and mechanical control approach (ECA and MCA) fora multiconverter multimachine system (MCMM) basedon electric car (EC) operation. ECA is designed by using a fuzzy logic-based robust controller for improving the power quality (PQ) of the EC. The main role of the ECA is to compute the actual speed and angle of the machine by sensing the voltage and current component of the system. For PQ improvement, the ECA also facilitates active and reactive current components by sensing the appropriate machine torque, wheel torque, and dc-link voltage of the inverter. In addition to that, MCA is proposed for improving the stability of the EC by properly tracking the wheel torque during dynamic state conditions like slippery road conditions. To design MCA, the appropriate mathematical modeling of the car is proposed by considering the wheel and road contact, gearbox, the different force acting on the car, and mechanical coupling between the car components. A torque model approach is suggested to track the appropriate torque produced on the wheel. The performance of the proposed controller with the EC modeling is tested by using MATLAB/Simulink software under different road conditions. K E Y W O R D S electrical control approach (ECA), fuzzy logic controller (FLC), mechanical control approach, modeling of an electric car (EC), power quality (PQ), torque model approach (TMA) 1 | INTRODUCTION Recently, looking at the pollution, global warming, and the alertness regarding nonconventional energy conservation, power engineers are paying more attention to the design of zero-polluting ECs. Therefore, to improve the stability and performance of the ECs, the lesser weight EC modeling is gaining interest on an augmented pace. 1 Lots of EC modeling methods are proposed to facilitate a wider driving choice and smoother operation. 2 As shown in Figure 1, the design of EC modeling is divided into two sections like electric machines (EM) as a drive system and mechanical parts as gearbox, coupling, and EC wheel. The essential parameters like battery, central control structures (by combining electrical and mechanical system), tachometer, and voltage source inverters (VSIs) are used to design the complete EC. To drive the EC wheel, single EM is used for each of the wheels. 3 However, the complex structure, heavier weight, and increased cost 4 decrease the stability and performance. For achieving optimum performance, and looking at the simplicity and easier control action, DC machines are gaining interest in the traction of ECs. 5 However, the DC-machines need to be supplied with high starting torque. Therefore, for getting a robust/lighter model, high efficiency, and reduced cost EC,

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“…Extensive previous research has realized the ED system via speed control, 11,12 slip ratio control or torque control for the driving wheels. 13,14 Moreover, the most important issue for these approaches to ED design is to ensure vehicle stability, particularly when the vehicle is cornering or under slippery road conditions. 13,15 The ED system is usually used in the lateral motion control of IMD EVs.…”

Section: Introductionmentioning

confidence: 99%

Speed-dependent coordinated control of differential and assisted steering for in-wheel motor driven electric vehicles

Chen

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this paper, we present a coordinated control system of differential and assisted steering for in-wheel motor driven (IMD) electric vehicles (EVs) with two independent front-wheel drives. An electric differential (ED) control strategy is proposed to track the expected yaw rate based on sliding mode control (SMC). Meanwhile, to realize differential drive assisted steering (DDAS), a variable speed integral PID controller is used to follow the ideal steering wheel torque. The impacts of the coupling with the ED and DDAS systems on EVs are analyzed, and a coordinated control system with adaptive weighting dependent on vehicle speed is designed. Results of the simulation on the CarSim-Simulink joint platform for IMD EVs model show that the proposed coordinated control approach can effectively reduce the torque of a steering wheel while ensuring the vehicle's stability. Finally, road testing results of IMD EVs are demonstrated to be comparable with joint simulations, indicating the correctness of this solution.

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Stability Enhancement of Four-in-Wheel Motor-Driven Electric Vehicles Using an Electric Differential System

Cited by 17 publications

References 22 publications

Electronic Differential System Based on Adaptive SMC Combined with QP for 4WID Electric Vehicles

Electronic Differential System Based on Adaptive SMC Combined with QP for 4WID Electric Vehicles

Robust control approach for stability and power quality improvement in electric car

Speed-dependent coordinated control of differential and assisted steering for in-wheel motor driven electric vehicles

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