Electric Vehicle Traction Based on Synchronous Reluctance Motors

Bianchi, Nicola; Bolognani, Silverio; Carraro, Enrico; Castiello, Mose; Fornasiero, Emanuele

doi:10.1109/tia.2016.2599850

Cited by 231 publications

(79 citation statements)

References 19 publications

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“…The form of the last term originates from the reciprocity condition (4), which is satisfied. The model is invertible: for any given values of i d and i q , the corresponding values of ψ d and ψ q can be obtained by numerically solving (6). The parameters of the magnetic model for a 6.7-kW SyRM are given in Table I and for a 7.7-kW PM-SyRM in Table II.…”

Section: B Algebraic Magnetic Modelmentioning

confidence: 99%

“…2 Finally, if needed, the flux references can be transformed into the current references using the algebraic magnetic model (6). If the current references are calculated directly from the optimal references ψ s,ref and T e,ref , two two-dimensional look-up tables are needed [14]- [16].…”

Section: B Algebraic Magnetic Modelmentioning

confidence: 99%

“…After the look-up table computation, the d-and q-axes of the SyRM are flipped to the standard SyRM representation, i.e., the daxis along the maximum inductance axis. It is to be noted that the method is not limited to the saturation model (6). Different magnetic models or even lookup tables could be used instead, if they are physically feasible and invertible in the relevant operation range.…”

Section: B Algebraic Magnetic Modelmentioning

confidence: 99%

“…As illustrated in Fig. 3, the inputs to the MTPA computation stage are the number of points L to be computed, the maximum current i s,max , and the parameters of the magnetic model (6). The maximum current i s,max is selected based on the motor and converter ratings.…”

Section: A Mtpamentioning

confidence: 99%

“…Synchronous motors with a magnetically salient rotor-such as the interior permanent-magnet synchronous motor (IPM), the synchronous reluctance motor (SyRM), and the permanentmagnet (PM) assisted SyRM-are well suited for hybrid or electric vehicles, heavy-duty working machines, and industrial applications [1]- [6]. Depending on the operating speed and the torque reference, these drives are typically controlled to operate either at the maximum torque-per-ampere (MTPA) locus, in the field-weakening region, or at the maximum torqueper-volt (MTPV) limit.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Optimal torque control of synchronous motor drives: Plug-and-play method

Awan

Song

Saarakkala

et al. 2017

2017 IEEE Energy Conversion Congress and Exposition (ECCE)

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Abstract-This paper deals with the optimal state reference calculation for synchronous motors with a magnetically salient rotor. A look-up table computation method for the maximum torque-per-ampere (MTPA), maximum torque-per-volt (MTPV), and field-weakening operation is presented. The proposed method can be used during the drive start-up, after the magnetic model identification. It is computationally efficient enough to be implemented directly in the embedded processor of the drive. For experimental validation, a 6.7-kW synchronous reluctance motor drive is used.

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Section: B Algebraic Magnetic Modelmentioning

confidence: 99%

Section: B Algebraic Magnetic Modelmentioning

confidence: 99%

Section: B Algebraic Magnetic Modelmentioning

confidence: 99%

Section: A Mtpamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimal torque control of synchronous motor drives: Plug-and-play method

Awan

Song

Saarakkala

et al. 2017

2017 IEEE Energy Conversion Congress and Exposition (ECCE)

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Permanent Magnet Assisted Synchronous Reluctance Motor

Ramesh

Pradhap

Lenin

2023

Power Converters, Drives and Controls for Sustainable Operations

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Improved performance and robustness of synchronous reluctance machine control using an advanced sliding mode and direct vector control

Selma,

Bounadja,

Belmadani

et al. 2023

Adv Control Appl

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This article focuses on improving the control approach for a synchronous reluctance motor (SynRM) drive powered by a two‐level pulse width modulation (PWM) inverter. While classical sliding mode control (SMC) has been extensively used in control system design, it comes with various drawbacks such as pronounced chattering effects, considerable transient state errors, and reduced robustness. These limitations hinder its practical applicability. To enhance the performance of the SynRM, this paper introduces a novel strategy that combines direct vector control (DVC) with advanced sliding mode control (ASMC), here referring to third‐order sliding mode command (TOSMC), for regulating speed and dq‐axis stator currents. The primary objective of this approach is to achieve precise and efficient control while minimizing total harmonic distortion (THD) in current and reducing output torque fluctuations. Notably, this strategy capitalizes on the strengths of TOSMC and DVC. The efficacy of the proposed control scheme is verified through two sets of thorough simulations realized in MATLAB/Simulink environment. The first set of simulations encompasses the load–torque test, where the motor is subjected to two different levels of load torque. The results from these tests showcase the control scheme's performance under varying load conditions. The second set of simulations involves the speed variation test, where intentional changes are applied to the motor's speed. This test assesses the control approach's ability to handle dynamic speed changes effectively. The proposed control strategy is further compared with conventional control methods, including proportional–integral and second‐order sliding mode command (SOSMC) controls. The results consistently demonstrate the superior performance of the novel approach in terms of accurate control, robustness, and overall stability. The combination of DVC and TOSMC offers a promising avenue for achieving enhanced motor control in the presence of load disturbances and speed variations.

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Electric Vehicle Traction Based on Synchronous Reluctance Motors

Cited by 231 publications

References 19 publications

Optimal torque control of synchronous motor drives: Plug-and-play method

Optimal torque control of synchronous motor drives: Plug-and-play method

Permanent Magnet Assisted Synchronous Reluctance Motor

Improved performance and robustness of synchronous reluctance machine control using an advanced sliding mode and direct vector control

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