Co-Simulation of a Two-Phase Axial-Gap Transverse Flux Machine

Ballestín-Bernad, Víctor; Sevil, Jesús Sergio Artal; Domínguez-Navarro, José A.

doi:10.1109/icem51905.2022.9910706

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…For each GaN power device composing the 3LI of the conduction losses P cond are computed according to (5), where the root-mean-square (RMS) current is provided using (6); In this, we are assuming a sinusoidal single-phase load current I(θ re ) = I p sin(θ re − φ), and the duty cycle δ(θ re ) of one phase of the PWM voltage waveform is defined as a quantity variable with the modulation index m and power factor cos(φ) [37][38][39][40][41][42][43][44][45][46][47][48]. The load current is identified using the peak value I p and phase angle φ, while the angular position θ re is provided using ω re t, where ω re is the angular frequency of the fundamental voltage harmonic.…”

Section: Analytical Power Loss Modelling Of Three-level Invertersmentioning

confidence: 99%

Power Loss Modelling and Performance Comparison of Three-Level GaN-Based Inverters Used for Electric Traction

Sujeeth,

Di Cataldo,

Tornello

et al. 2024

Energies

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The main aim of this work is to present a step-by-step procedure to model and analyze the power loss distribution of three-level Gallium Nitride (GaN) inverters. It has been applied to three distinct three-phase three-level voltage source inverters utilized in electric traction drives: Active Neutral Point Clamped, Neutral Point Clamped and T-Type Neutral Point Clamped. The proposed analytical power loss modelling, combined with an equivalent representation of the electrical machine proved to be a viable solution to achieve a time-saving and low computational burden simulation platform, leading to satisfying accurate results. This has been confirmed by comparing the results carried out from the simulations of a 110 kW permanent magnet synchronous motor drive and those determined by considering a simplified circuital representation based on the proposed analytical power loss modelling.

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Section: Analytical Power Loss Modelling Of Three-level Invertersmentioning

confidence: 99%

Power Loss Modelling and Performance Comparison of Three-Level GaN-Based Inverters Used for Electric Traction

Sujeeth,

Di Cataldo,

Tornello

et al. 2024

Energies

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“…The keyword calculation time has been used frequently in the literature [5], [7], [9] and [10]. Tab.…”

Section: F Calculation Timementioning

confidence: 99%

Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives

Hölsch,

Brosch,

Steckel

et al. 2024

IEEE Trans. Energy Convers.

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In-depth evaluations of an electric drive's behavior typically result from co-simulation, combining models of motor, power electronics and control software. This approach can be used to evaluate pulse patterns for a given operating point, e.g., for electric vehicle applications, preventing costly real-world experiments. Here, the co-simulation model is fed with offline calculated optimized pulse patterns (OPPs) that are used to increase, among others, the drive's efficiency. Due to the large motor time constant compared to the fundamental wave period, reaching steady state using a simple open-loop control requires unnecessary long simulation times. Hence, a model predictive closed-loop control implementation of the OPPs is proposed which reduced the overall computational effort significantly. However, it turns out that the OPP evaluation using a finiteelement-method-based co-simulation for a permanent magnet synchronous motor remains largely uncertain in terms of the predicted power losses which led to the development of a semianalytical model to further reduce the required computational time. As none of the approaches was able to deliver a suitable trade-off between model accuracy and calculation time, this investigation highlights the remaining challenges of evaluating OPPs based on drive co-simulations motivating further research towards the surrogate-assisted or direct experimental OPP optimization in the future.

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“…The keyword calculation time has been used frequently in the literature [6], [8], [10] and [11]. Tab.…”

Section: F Calculation Timementioning

confidence: 99%

Insights and Challenges of Co-Simulation-based Optimal Pulse Pattern Evaluation for Electric Drives

Hölsch,

Brosch,

Steckel

et al. 2023

Preprint

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<p>In-depth evaluations of an electric drive's behavior typically result from co-simulation, combining models of motor, power electronics and control software. This approach can be used to evaluate pulse patterns for a given operating point, e.g., for electric vehicle applications, preventing costly real-world experiments. Here, the co-simulation model is fed with offline calculated optimized pulse patterns (OPPs) that are used to increase, among others, the drive's efficiency. Due to the large motor time constant compared to the fundamental wave period, reaching steady state using a simple open-loop control requires unnecessary long simulation times. Hence, a model predictive closed-loop control implementation of the OPPs is proposed which reduced the overall computational effort significantly. However, it turns out that the OPP evaluation using a finite-element-method-based co-simulation for a permanent magnet synchronous motor remains largely uncertain in terms of the predicted power losses which led to the development of a semi-analytical model to further reduce the required computational time. As none of the approaches was able to deliver a suitable trade-off between model accuracy and calculation time, this investigation highlights the remaining challenges of evaluating OPPs based on drive co-simulations motivating further research towards the surrogate-assisted or direct experimental OPP optimization in the future.</p>

show abstract

Co-Simulation of a Two-Phase Axial-Gap Transverse Flux Machine

Cited by 3 publications

References 19 publications

Power Loss Modelling and Performance Comparison of Three-Level GaN-Based Inverters Used for Electric Traction

Power Loss Modelling and Performance Comparison of Three-Level GaN-Based Inverters Used for Electric Traction

Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives

Insights and Challenges of Co-Simulation-based Optimal Pulse Pattern Evaluation for Electric Drives

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