A comparative dynamic analysis between model predictive torque control and field‐oriented torque control of
            <scp>IM</scp>
            drives for electric vehicles

Ahmed, Abdelsalam A.; Akl, Mahmoud M.; Rashad, Essam M.

doi:10.1002/2050-7038.13089

Cited by 6 publications

(3 citation statements)

References 28 publications

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“…One of the six voltage vectors of the inverter can be appropriately chosen to control the position and magnitude of the stator flux and indirectly the rotor flux, depending on the variation in the stator flux [26][27][28].…”

Section: The Dtc-svm Strategymentioning

confidence: 99%

Real-Time Implementation of Sensorless DTC-SVM Applied to 4WDEV Using the MRAS Estimator

Boudallaa,

Belkhadir,

Chennani

et al. 2023

Energies

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This article presents the DTC-SVM approach for controlling a sensorless speed induction motor. To implement this approach, a practical prototype is built using a microcontroller, an embedded GPS module, and a memory card to collect real-time data during the driving route, such as road geographical data, speed, and time. These data are then utilized in the laboratory to implement the control law (DTC-SVM) on the electric vehicle. The d-q model of the induction motor is first presented to explain the requirements for calculating the rotor speed. Then, an adaptive model reference system speed estimator is developed based on the rotor flux, along with a controller and DTC-SVM strategy, which are implemented using the dSpace 1104 board to achieve the desired performance. The simulation results demonstrate satisfactory speed regulation with the proposed system. In this study too, an electronic differential system is modeled for the four wheels of an electric vehicle equipped with an integrated motor, all controlled by the DTC-SVM strategy. Vehicle speed and electrical vehicle steering angle variations, as well as wheel speeds estimated by code system, are verified using MATLAB/Simulink simulations.

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Section: The Dtc-svm Strategymentioning

confidence: 99%

Real-Time Implementation of Sensorless DTC-SVM Applied to 4WDEV Using the MRAS Estimator

Boudallaa,

Belkhadir,

Chennani

et al. 2023

Energies

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“…The optimal voltage vector is chosen based on the objectives with the minimum error, resulting in reduced ripples. In MPDTC, the controlled variables are predicted using Forward Euler approximation [ 40 ].…”

Section: System Controlmentioning

confidence: 99%

Model Predictive Direct Torque Control and Fuzzy Logic Energy Management for Multi Power Source Electric Vehicles

Kakouche

Rekioua

Mezani

et al. 2022

Sensors

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This paper proposes a novel Fuzzy-MPDTC control applied to a fuel cell battery electric vehicle whose traction is ensured using a permanent magnet synchronous motor (PMSM). On the traction side, model predictive direct torque control (MPDTC) is used to control PMSM torque, and guarantee minimum torque and current ripples while ensuring satisfactory speed tracking. On the sources side, an energy management strategy (EMS) based on fuzzy logic is proposed, it aims to distribute power over energy sources rationally and satisfy the load power demand. To assess these techniques, a driving cycle under different operating modes, namely cruising, acceleration, idling and regenerative braking is proposed. Real-time simulation is developed using the RT LAB platform and the obtained results match those obtained in numerical simulation using MATLAB/Simulink. The results show a good performance of the whole system, where the proposed MPDTC minimized the torque and flux ripples with 54.54% and 77%, respectively, compared to the conventional DTC and reduced the THD of the PMSM current with 53.37%. Furthermore, the proposed EMS based on fuzzy logic shows good performance and keeps the battery SOC within safe limits under the proposed speed profile and international NYCC driving cycle. These aforementioned results confirm the robustness and effectiveness of the proposed control techniques.

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“…The dynamic operation of an electric tractor is described with the help of Newto law of motion. When the tractor is operating in the field, it requires a very high torq During the tractor operation, there are a number of forces acting on it [25]. The forces t act on the tractor are taken into consideration while performing the calculations for po and torque requirements, which are shown in Figure 2.…”

Section: Modeling Of Electric Tractormentioning

confidence: 99%

Control of Permanent Magnet Synchronous Motor Using MPC–MTPA Control for Deployment in Electric Tractor

Gade

2022

Sustainability

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This study aims to evaluate the interior permanent magnet synchronous motor (IPMSM) drive performance for various load conditions under steady state and dynamic conditions. Therefore, this paper proposes finite set model-predictive control (FS-MPC) for IPMSM with maximum torque per ampere (MTPA) for electric tractor application. The MTPA control technique is used to obtain maximum torque while maintaining a minimum current constraint. In addition to MTPA control, the MPC scheme is used as the suitable alternative control strategy in the electric tractor application, which eliminates the occurrence of torque ripples during the dynamic speed tracking under variable load conditions. The MPC is used to improve the dynamic response of the motor drive and reduce torque ripples under variable load conditions. MPC–MTPA is developed in the MATLAB/SIMULINK and validated in the real-time environment using the hardware-in-the-loop (HIL) simulator (OPAL-RT OP5700). The results prove that MPC improves the dynamic performance and MTPA reduces the stator copper loss and increases the drive efficiency.

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A comparative dynamic analysis between model predictive torque control and field‐oriented torque control of IM drives for electric vehicles

Cited by 6 publications

References 28 publications

Real-Time Implementation of Sensorless DTC-SVM Applied to 4WDEV Using the MRAS Estimator

Real-Time Implementation of Sensorless DTC-SVM Applied to 4WDEV Using the MRAS Estimator

Model Predictive Direct Torque Control and Fuzzy Logic Energy Management for Multi Power Source Electric Vehicles

Control of Permanent Magnet Synchronous Motor Using MPC–MTPA Control for Deployment in Electric Tractor

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