Modeling and Sliding Mode DTC of an EV with Four In-Wheel Induction Motors Drive

Ghezouani, Abdelkader; Gasbaoui, Brahim; Ghouili, Jamel

doi:10.1109/cistem.2018.8613379

Cited by 11 publications

(6 citation statements)

References 8 publications

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“…According to Figure 15, at t = [0, 1] s corresponds to the transient regime. An acceleration is applied at the different times t = [1,5,4,7,9,11] s and a deceleration at the times [3,6,8,10,12] s. During acceleration, it is the battery and the fuel cell which intervene to give the power required by the load. During deceleration, the fuel cell begins to charge the battery and there will also be energy recovery due to braking and this in the form of potential energy.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Performance Analysis of DC-DC Converter and DTC Based Fuzzy Logic Control for Power Management in Electric Vehicle Application

Araria¹,

Berkani²,

Negadi³

et al. 2020

JESA

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The aim of this paper is the developments a DC/DC boost converter use to powered a DC/AC inverter with induction motor. A strategy of control of an induction motor (IM) used as a propulsion system of an electric vehicle (EV). The boost converter ensures an energy flux for an ideal operation of the vehicle even in case of battery voltage drop. The technique proposed is based on a direct flow and torque control diagram (DTC) and also introduces the fuzzy logic control (FLC) as well as the regulator in the place of a conventional PI regulator. The proposed approach covers the vehicle's torque demand and it optimizes the training performance. Simulation results on a test vehicle propelled by 38-kW induction motor showed that the proposed control approach operates satisfactorily. The analysis and simulations lead to the conclusion that the proposed system is feasible and can be tested on experimental bench.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Performance Analysis of DC-DC Converter and DTC Based Fuzzy Logic Control for Power Management in Electric Vehicle Application

Araria¹,

Berkani²,

Negadi³

et al. 2020

JESA

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show abstract

“…Additional work surrounding the application of direct torque control in electric vehicle applications is also presented by the research scholars in [97] and [98]. The authors in [97] present a comparison between CDTC, and DTC using a multi-layer neural network.…”

Section: Direct Torque Control In Electric Vehicle Applicationsmentioning

confidence: 99%

“…Additionally, common drive cycles were not utilised to simulate the conditions that vehicles may encounter in urban or high driving conditions. However, while the authors in [98] investigate a new control strategy based on DTC with the integration of sliding-mode control, their focus is not on a comparison with CDTC. The authors focus is to present a control scheme which can be utilised for a four in-wheel drive electric vehicle.…”

Section: Direct Torque Control In Electric Vehicle Applicationsmentioning

confidence: 99%

“…Ultimately, the IFOC system designed with a back-EMF based MRAS estimator is developed for fault tolerant limphome operation of the EV. [98] 2018 DTC Presentation of a control scheme for a four in-wheel drive EV which utilises a sliding-mode based DTC scheme. Additionally, an electronic differential system is proposed, which provides speed references to each of the four in-wheel motors based on the steering angle and throttle position.…”

Section: Summary Of the Motor Control Techniques Applied To Ev Applicationsmentioning

confidence: 99%

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A Comprehensive Review of Advanced Traction Motor Control Techniques Suitable for Electric Vehicle Applications

Klerk

Saha

2021

IEEE Access

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Transport and vehicular travel are essential for socio-economic growth, as they enable the operation of cities and businesses globally. However, large percentages of the transport sector currently rely on internal combustion engine vehicles, causing an increase in greenhouse gases and air pollution. Electric vehicles provide a promising solution to the issues faced by the transport sector. As a result, optimization of the electric vehicle powertrain is a key area, with the traction motor control mechanism forming a major component of the powertrain. Consequently, this paper aims to review the novel control techniques which have been applied to the traction motor system in electric vehicles. Direct torque control and indirect field oriented control are commonly applied control techniques as they allow for advanced control of the induction and permanent magnet synchronous motors currently used in most of the electric vehicles being produced. In general, various improvements have been made to conventional direct torque control and indirect field oriented control schemes, in order to reduce ripple and improve parameter insensitivity. While efforts are still being carried out in these areas for electric vehicle applications, it was found that there has been a large emphasis placed on powertrain efficiency improvement through optimization of the traction motor control system. Efficiency improvements have recently been achieved through optimal selection of stator flux and DC link voltage values. Research into efficiency improvement is likely to continue as extended vehicle range can be achieved.

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“…In this case, the torque control is extended to transient states and allows better dynamic performances [3]. Among these techniques, DTC appears to be very convenient for EV applications [4].…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of the Speed and Torque Control of IM with DTC Based ANN Strategy for Electric Vehicle Application

Araria¹,

Negadi²,

Marignetti³

2019

IJES

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The aim of this paper is the developments a strategy of control of an induction motor (IM) used as a propulsion system of an electric vehicle (EV). The proposed strategy at different operating conditions using a direct torque control (DTC) technique combined with an Artificial Neural Network (ANN) utilizes the stator flux as control variable and the flux level is selected in accordance with torque demand of the EV to achieve a high drive performance. Simulation results on a test vehicle propelled by two 38-kW induction motors showed that the proposed control approach operates satisfactorily. The analysis and simulations lead to the conclusion that the proposed system is feasible and can be tested on experimental bench.

show abstract

Modeling and Sliding Mode DTC of an EV with Four In-Wheel Induction Motors Drive

Cited by 11 publications

References 8 publications

Performance Analysis of DC-DC Converter and DTC Based Fuzzy Logic Control for Power Management in Electric Vehicle Application

Performance Analysis of DC-DC Converter and DTC Based Fuzzy Logic Control for Power Management in Electric Vehicle Application

A Comprehensive Review of Advanced Traction Motor Control Techniques Suitable for Electric Vehicle Applications

Design and Analysis of the Speed and Torque Control of IM with DTC Based ANN Strategy for Electric Vehicle Application

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