Proper magnetic materials selection method for AC filter inductor design used in single phase PWM inverters
Source abstract
Abstract
The use of wide-bandgap devices such as SiC and GaN has improved the efficiency and power density of power converters compared with conventional Si devices. However, a significant portion of the efficiency loss and volume in power converters is attributed to the magnetic components, particularly the challenges of miniaturization and loss reduction. This is due to the use of nonsinusoidal waveforms, with high-frequency switching of the PWM inverter introducing ripple components that exhibit complex loss characteristics. In this study, we propose a method for selecting magnetic materials for AC filter inductors based on loss and volume considerations. In addition, the effectiveness of the proposed method is validated through experiments.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Silicon Carbide Semiconductor Technologies · Advanced DC-DC Converters · Electromagnetic Compatibility and Noise Suppression
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Electrical and Mechanical Engineering, Nagoya Institute of Technology , Aichi 466-8555, Japan
Funding
MEXT Program for Creation of Innovation Core Technology for Power Electronics · JSPS KAKENHI
References (16)
Show source-provided references
1. Next generation GaN-based architectures: From 240W USB-C adapters to 11kW EV on-board chargers with ultra-high power density and wide output voltage range
2. ηρ-Pareto optimization and comparative evaluation of inverter concepts considered for the GOOGLE Little Box Challenge
3. M. Marko , “Modeling and design optimization of medium frequency transformers for medium-voltage high-power converters,” Ph.D. thesis, École Polytechnique Fédérale de Lausanne (EPFL), 2019.
4. Artificial neural network (ANN) based fast and accurate inductor modeling and design10.1109/ojpel.2020.3012777 ↗
5. From brute force grid search to artificial intelligence: Which algorithms for magnetics optimization?
6. Fast 3-D optimization of magnetic cores for loss and volume reduction10.1109/tmag.2018.2841364 ↗
7. How MagNet: Machine learning framework for modeling power magnetic material characteristics10.1109/TPEL.2023.3309232 ↗
8. J. Muhlethaler , “Modeling and multi-objective optimization of inductive power components,” Ph.D. thesis (Swiss Federal Institute of Technology; ETH Zurich, 2012).
9. Evaluation of iron loss of AC filter inductor used in three-phase PWM inverters based on an iron loss analyzer10.1109/tpel.2015.2453055 ↗
10. High-speed core loss base data collection for core loss calculation under power electronics converter excitation10.1541/ieejjia.20006557 ↗
11. GaN-half-bridge for core loss measurements under rectangular AC voltage and DC bias of the magnetic Flux density10.1109/TIM.2020.2972140 ↗
12. Accurate prediction of ferrite core loss with nonsinusoidal waveforms using only Steinmetz parameters
13. Why MagNet: Quantifying the complexity of modeling power magnetic material characteristics10.1109/TPEL.2023.3291084 ↗
14. Design and optimization of Ac-side filter using coupled inductor for single-phase full-bridge inverter
15. AC filter inductor design for three-phase PWM inverter
16. Power conversion efficiency prioritized AC filter inductor design for three-phase PWM inverter10.1063/9.0000162 ↗