Dual Mechanical Port Machine Based Hybrid Electric Vehicle Using Reduced Switch Converters

Bizhani, Hamed; Yao, Gang; Muyeen, S. M.; Islam, Syed; Ben‐Brahim, Lazhar

doi:10.1109/access.2019.2903765

Cited by 10 publications

(9 citation statements)

References 35 publications

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“…In the proposed compact microgrid, the physical dependency of the converter limits the individual performance of the connected AC and DC sources. To alleviate this limitation, a sequential space vector modulation is reported [13,14,19]. In this switching scheme, every AC and DC port is treated as an individual converter to obtain its feasible switching states.…”

Section: Sequential Space Vector Modulationmentioning

confidence: 99%

Current stress and switching loss evaluation of a unified expandable power converter used for grid‐integration of renewable energy sources

Bizhani

Muyeen

Tatari

et al. 2021

IET Renewable Power Gen

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Due to the intermittent nature of the renewable energy systems (RESs), more specifically, solar panels and wind turbines, their sole use does not lead to a smooth and reliable power. To overcome this issue, the concurrent grid-integration of RESs to form a microgrid is reported. In the DC-bus microgrid, the produced power by RES is initially given to the shared DC-bus through an individual source-side converter and then transmitted to the utility via a common grid-side converter. By increasing the number of RESs, the number of required power converters, and therefore, the investment cost also increase. Using the cost-effective multi-input low-switch converters is a promising alternative to alleviate this significant need for individual converters. Recently, a nine-switch-based unified expandable power converter (UEPC) has been presented for concurrent integration of AC and DC sources with a tangible fewer switch count. This unified structure has been utilized in two configurations named AC-AC-AC and AC-AC-DC. In this paper, both configurations are evaluated and compared in terms of current stress and switching loss. Considering the current stress analysis, the best port for interfacing with the grid to lower the total current rating of power switching devices is also determined. The high-performance capability of both configurations is finally verified using MATLAB/Simulink.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Sequential Space Vector Modulationmentioning

confidence: 99%

Current stress and switching loss evaluation of a unified expandable power converter used for grid‐integration of renewable energy sources

Bizhani

Muyeen

Tatari

et al. 2021

IET Renewable Power Gen

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“…As can be seen, the vector corresponding to each switching state affects all outputs simultaneously, which means independent control of the outputs might deteriorate. To avoid this, the sequential space vector modulation (SSVM) is presented in the literature [14]. In the SSVM approach, the individual switching states that are active vectors for one output while simultaneously are zero for others are sequentially used.…”

Section: A Multi-leg Converter Modelmentioning

confidence: 99%

“…1(a), three individual converters are required in a conventional hot rolling mill stand, which yields a significant increase in the required AC drive's cost. The multi-port converters with the capability of handling different AC outputs offering a lower number of semiconductors are recently reported in the literature in various applications, including the integration of the renewable energy sources (RES) [12], [13], hybrid electric vehicle (HEV) [14], and uninterruptible power supplies (UPSs) [15]. The multi-leg converter is one of the most promising unified converters in which a leg is shared between different outputs [16].…”

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confidence: 99%

A MRAS Based Model Predictive Control for Multi-Leg Based Multi-Drive System Used in Hot Rolling Mill Applications

2020

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In this paper, a multi-leg based multi-drive configuration is presented to be used in multi AC drive applications such as the hot rolling mills. The proposed configuration enjoys compactness, fewer semiconductors, and lower drive cost compared with conventional topology, making it a promising approach. In a conventional rolling mill stand, an active front-end (AFE) rectifier and two inverters are required for grid-side and motor-side connections. However, in the proposed configuration, all converters are unified using a multi-leg structure. To improve the operational performance of the drive, a model predictive control (MPC) is designed. In this approach, an individual cost function for every output, along with a comprehensive cost function containing all control objectives for the overall system, is defined. By obtaining the valid and invalid switching states of the proposed converter, the defined multi-objective cost function is minimized to find the most optimum switching states in each sampling time. In addition, to improve the robustness of the proposed multi-drive system, a model reference adaptive system (MRAS) is designed to estimate rotor speed and stator resistance. The high-performance capability of the proposed multi-drive system is evaluated in both steady and dynamic states using MATLAB/Simulink software and compared with a conventional configuration. According to simulation results, it is deduced that the independent control of the top and bottom motors in a rolling mill stand can be guaranteed using the proposed low-cost sensorless drive.

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“…Over the past decade, however, the concept of dual mechanical ports machines (DMPM) was introduced by the researchers [1], [2]. Due to its smaller size and costeffectiveness, the DMPM has found applications in various fields, such as pure electric vehicle [3]- [5], hybrid electric vehicle [6]- [9], wind energy systems [10]- [12], and others [13].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Input Multi-Output Model Predictive Direct Torque Control for Dual Mechanical Port Machine

Bizhani,

Ben-Brahim,

Gastli

et al. 2023

IEEE Access

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In this paper, a multi-input multi-output (MIMO) model predictive direct torque control (MPDTC) strategy for a dual mechanical port machine (DMPM) is proposed. A MIMO state space model is developed, incorporating the electromagnetic interaction between the stator, inner rotor, and outer rotor of the DMPM. The prediction model is then derived to adjust the currents of stator and inner rotor windings, enabling independent control of the electromagnetic torques of the mechanical ports. Compared to single-input single-output based MPC and PI-based field-oriented control strategies, the proposed approach effectively mitigates the undesired electromagnetic interactions, guaranteeing smooth speed control of both mechanical ports. The simulation results carried out by MATLAB/Simulink verify the precise performance of the DMPM in different operating modes. The Hardware-in-the-Loop results further confirm that the proposed direct torque control not only regulates the inner and outer rotor independently, but can also be executed in real-time without posing any computational burden on the processor. A sensitivity analysis for evaluating the performance of the proposed strategy in the presence of variations in the electrical parameters of the DMPM is also provided.INDEX TERMS Dual mechanical port machine, model predictive control, direct torque control, multi-input multi-output system, hardware in the loop.

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Dual Mechanical Port Machine Based Hybrid Electric Vehicle Using Reduced Switch Converters

Cited by 10 publications

References 35 publications

Current stress and switching loss evaluation of a unified expandable power converter used for grid‐integration of renewable energy sources

Current stress and switching loss evaluation of a unified expandable power converter used for grid‐integration of renewable energy sources

A MRAS Based Model Predictive Control for Multi-Leg Based Multi-Drive System Used in Hot Rolling Mill Applications

A Multi-Input Multi-Output Model Predictive Direct Torque Control for Dual Mechanical Port Machine

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