Dual three‐phase permanent magnet synchronous machine investigation for battery electric vehicle power‐trains

Yang, Rong; Schofield, N.; Zhao, Nan; Emadi, Ali

doi:10.1049/joe.2018.8178

Cited by 14 publications

(4 citation statements)

References 12 publications

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“…The core of the electric energy conversion system is the stator and rotor parts of the motor. The motor of this system adopts a three-phase permanent magnet synchronous motor, which has the characteristics of small volume, high power density, high reliability, and high efficiency [23,24]. The rotor center meshes with the drive shaft, and the drive shaft rotates the rotor.…”

Section: Electric Energy Conversion Systemmentioning

confidence: 99%

The Structure Principle and Dynamic Characteristics of Mechanical-Electric-Hydraulic Dynamic Coupling Drive System and Its Application in Electric Vehicle

Sun

Yang

2022

Electronics

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To solve the problem of the low recovery rate of braking energy and the short driving range of electric vehicles, a novel mechanical-electric-hydraulic dynamic coupling drive system (MEH-DCDS) is proposed in this article. MEH-DCDS is a new power integration device that allows electric, mechanical, and hydraulic energy to be converted mutually. It comprises a swash plate plunger pump/motor and a permanent magnet synchronous motor. This article explains the structure and working principles of MEH-DCDS. We describe the dynamic characteristics of MEH-DCDS and analyze the pump and hydraulic motor in the MEH-DCDS hydraulic module. The simulation results show that the flow variation of the MEH-DCDS hydraulic module accords with the design concept of MEH-DCDS, and the pressure variation of high and low pressure accumulators also accords with the theoretical situation. The energy flow of Mechanical-Electric-Hydraulic Power Coupling Electric Vehicle (MEHPC-EV) under different working modes is expounded, and the mathematical model of its key components is established. Based on AMESim and Simulink, the article establishes a vehicle simulation dynamic model. The dynamic performance of MEHPC-EV in UDDS is analyzed by co-simulation. The simulation results show that the application of MEH-DCDS in electric vehicles is feasible. MEHPC-EV reduced battery energy consumption by 26.18% compared to EV. The research in this paper verifies the accuracy and superiority of the system, which has a significant reference value for the development and study of electric vehicles in the future.

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Section: Electric Energy Conversion Systemmentioning

confidence: 99%

The Structure Principle and Dynamic Characteristics of Mechanical-Electric-Hydraulic Dynamic Coupling Drive System and Its Application in Electric Vehicle

Sun

Yang

2022

Electronics

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“…Actually, a frequent configuration is that of the asymmetrical six-phase windings which consists of two three-phase windings at the stator with a 30 o shift between them [19][20][21]. Recently there has been an upsurge of the interest in six-phase PMSMs because of their potential use in Electric Vehicles (EVs) and Hybrid Electric Vehicles (HEVs) traction systems [22][23]. The wide use of VSI-fed PMSMs in the actuation of industrial mechatronic systems and particularly in the traction of electric vehicles has made the associated nonlinear control problem be a challenge and recent results towards its solution can be found in [24][25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear optimal control for VSI-fed six-phase PMSMs in the traction of electric vehicles

Rigatos,

Abbaszadeh,

Hamida

et al. 2024

Preprint

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The need for high power in electric vehicles has motivated the use of multi-phase electric motors in the associated traction systems. In this article, a nonlinear optimal control approach is developed for voltage-source inverter-fed six-phase Permanent Magnet Synchronous Motors which can be used in electric vehicles' traction. The dynamic model of the VSI-fed six-phase PMSM undergoes approximate linearization around a temporary operating point that is recomputed at each time-step of the control method. The linearization is based on Taylor series expansion and on the associated Jacobian matrices. For the linearized state-space model of the system a stabilizing optimal (H-infinity) feedback controller is designed. This controller stands for the solution to the nonlinear optimal control problem under model uncertainty and external perturbations. To compute the controller's feedback gains an algebraic Riccati equation is repetitively solved at each iteration of the control algorithm. The stability properties of the control method are proven through Lyapunov analysis. The differential flatness properties of the state-space model of the six-phase PMSM are also proven, thus allowing to solve the setpoints definition problem in the motor's functioning. To estimate non-measurable state variables and to implement sensorless control for the dynamic model of the six-phase PMSMs, the H-infinity Kalman Filter is used as a robust state estimator. It is shown that under the proposed control scheme fast and accurate tracking of reference setpoints is achieved with moderate variations of the control inputs.

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“…Since the electric motor is among the crucial parts for enhancing the overall efficiency of the vehicle, its power density is anticipated to reach 50 kW/L by 2024 accounting for an 89% reduction of its current volume [1]. Operating at such high-power density translates directly into an increase in loss density, meaning a smaller area for heat dissipation [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Computationally Efficient Surrogate-Based Magneto-Fluid-Thermal Numerical Coupling Approach for a Water-Cooled IPM Traction Motor

Abdelrahman

Bilgin

2022

IEEE Access

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This paper proposes a computationally-efficient electromagnetic (EM)-computational fluid dynamics (CFD) coupling approach for a water-cooled Interior Permanent Magnet (IPM) motor. The numerical simulation of multiple fluids and their interaction with solid parts can be challenging. The proposed approach relies on the heat transfer coefficient (HTC) decomposition of different fluids/coolants inside the machine to generate an HTC look-up table (LUT) as a function of the coolant inlet flow rate. The HTC-LUT is then utilized as a surrogate model for the stationary coolant to decouple the fluid-to-fluid interaction and, hence, expedite the iterative approach. This reduces the computational time by almost twothirds as compared to the multiple fluid approach while preserving the fidelity of the model. Additionally, the proposed approach formulates the correlation between the rotor speed, coolant flow rate, convective heat transfer coefficients, and the temperature rise, particularly for hot-spot locations in the end-windings. This approach uses a two-dimensional EM model coupled with a three-dimensional fractional CFD model. Thus, it reduces the computational cost and retains the model simplicity. The viability of the proposed coupling approach is also validated through lumped parameter thermal network (LPTN) analytical approach. The results from both approaches under different cooling conditions, flow rates, and current densities are in a good agreement.INDEX TERMS Computational fluid dynamics (CFD), dual-three phase machine, finite-element analysis (FEA), hairpin windings, interior permanent magnet (IPM), synchronous machine, lumped-parameter thermal network (LPTN).

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Dual three‐phase permanent magnet synchronous machine investigation for battery electric vehicle power‐trains

Cited by 14 publications

References 12 publications

The Structure Principle and Dynamic Characteristics of Mechanical-Electric-Hydraulic Dynamic Coupling Drive System and Its Application in Electric Vehicle

The Structure Principle and Dynamic Characteristics of Mechanical-Electric-Hydraulic Dynamic Coupling Drive System and Its Application in Electric Vehicle

Nonlinear optimal control for VSI-fed six-phase PMSMs in the traction of electric vehicles

Computationally Efficient Surrogate-Based Magneto-Fluid-Thermal Numerical Coupling Approach for a Water-Cooled IPM Traction Motor

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