Tamás Horváth

59420016700

Publications - 5

Development of Magnetic Hysteresis Loop Measurement System for Characterization of 3D-Printed Magnetic Cores

Tamas Orosz Miklos CSIZMADIA Tamás Horváth

Publication Name: Electronics Switzerland

Publication Date: 2025-06-01

Volume: 14

Issue: 11

Page Range: Unknown

Description:

Today, numerous advanced options exist for analyzing and measuring magnetic hysteresis loops and core loss across a broad spectrum of applications. Most of these systems are compact and ready to use, fulfilling the measurement and data processing requirements for laminated iron cores according to the standards. However, modeling newly developed materials with complex structures or the high-frequency behavior of iron cores, and the computation of dynamic hysteresis properties’ temperature dependence, are still challenging problems in the field. Moreover, these standardized measurement tools are relatively expensive, and most of them represent a black box that impedes research and further development. This paper presents the development of a cheap and accessible measurement system that is explicitly designed for recording the hysteresis properties of 3D-printed iron cores. The paper presents a comprehensive overview of the design process, components, circuitry, and simulations integral to this project. The paper presents a completed circuit simulation conducted using LTspice and validation of the prototype’s measurement performance. The measurements obtained with the proposed system show good agreement with those of the reference setup, demonstrating its accuracy and practical applicability.

Open Access: Yes

DOI: 10.3390/electronics14112235

Demagnetization Fault Detection and Fault-Tolerant Control for PMa-SynRM Drive Using EKF-Based Permanent Magnet Flux Linkage Estimator

Krisztian Horvath Zoltan Nemeth Tamás Horváth

Publication Name: 2025 19th International Conference on Electrical Machines Drives and Power Systems Elma 2025 Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Demagnetization faults in permanent magnetassisted synchronous reluctance motors (PMa-SynRMs) can lead to deterioration in the control performance of the drives, if the implemented PM flux linkage parameter is different from the actual value. To increase the robustness against demagnetization faults, a novel fault-tolerant control method is developed for PMa-SynRM drives. In the proposed method, an extended Kalman filter is used for online estimation of the PM flux linkage, which is tuned adaptively in the control algorithm, including the maximum torque per ampere strategy. The effectiveness of the proposed demagnetization fault-tolerant control technique is demonstrated by numerical simulations.

Open Access: Yes

DOI: 10.1109/ELMA65795.2025.11083424

Performance Comparison of the General, the Dual, and the Joint Sigma Point Kalman Filters on State Estimation of Li-Ion Battery Cells for BMSs †

Tamás Horváth Denes Fodor

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

Li-ion batteries, known for high energy and power density, are widely used in electromobility and stationary applications. In these applications a Battery Management System (BMS) ensures safety and longevity by performing functions like cell balancing and protecting against overcharge and over-discharge. Advanced BMSs estimate the battery’s State of Charge (SOC), crucial for determining remaining operating time and safe range. This study compares three Kalman Filter (KF)-based SOC estimation techniques: the general Sigma Point KF (SPKF), the joint SPKF, and the dual SPKF, for state and parameter estimation of a Samsung 18650INR13L Li-ion battery.

Open Access: Yes

DOI: 10.3390/engproc2024079045

Performance Comparison of the General the Dual and the Joint Extended Kalman Filter on State Estimation of Li-ion Battery Cells for BMS

Tamás Horváth Denes Fodor

Publication Name: 2024 IEEE 21st International Power Electronics and Motion Control Conference Pemc 2024

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The aim of the work is to compare the performance of the general Extended Kalman Filter (EKF), the joint EKF and the dual EKF for state and parameter estimation of a Samsung 18650INR13L Li-ion battery cell. The used battery model is based on a simplified Randles equivalent circuit equipped with Rs, Rct and Cdl parameters. The initial values of Randles parameters were identified from constant charge, discharge and transient discharge measurements. The performance of the implemented Kalman Filters were compared for the state and parameter estimation of the cell during WLTP test condition. While the general EKF uses only the identified initial values of the parameters, the joint and dual EKF are able to estimate them to compensate for the drift during the operation which leads to more accurate state estimation and compensates the parameters change due to heat and the aging of the cell. From the SOC estimation performance comparison we found out that both the dual and joint EKF perform similarly well, but the dual EKF has about 22% less computational cost which is very significant in the case of the future implementation on a real Battery Management System (BMS) which was the target of this investigation.

Open Access: Yes

DOI: 10.1109/PEMC61721.2024.10726344

Iron Loss Calculation Methods for Numerical Analysis of 3D-Printed Rotating Machines: A Review

Miklós Kuczmann Tamas Orosz Balázs Tóth B. Kocsis Tamás Horváth

Publication Name: Energies

Publication Date: 2023-09-01

Volume: 16

Issue: 18

Page Range: Unknown

Description:

Three-dimensional printing is a promising technology that offers increased freedom to create topologically optimised electrical machine designs with a much smaller layer thickness achievable with the current, laminated steel-sheet-based technology. These composite materials have promising magnetic behaviour, which can be competitive with the current magnetic materials. Accurately calculating the iron losses is challenging due to magnetic steels’ highly nonlinear hysteretic behaviour. Many numerical methodologies have been developed and applied in FEM-based simulations from the first introduced Steinmetz formulae. However, these old curve-fitting-based iron loss models are still actively used in modern finite-element solvers due to their simplicity and high computational demand for more-accurate mathematical methods, such as Preisach- or Jiles–Atherton-model-based calculations. In the case of 3D-printed electrical machines, where the printed material can have a strongly anisotropic behaviour and it is hard to define a standardised measurement, the applicability of the curve-fitting-based iron loss methodologies is limited. The following paper proposes an overview of the current problems and solutions for iron loss calculation and measurement methodologies and discusses their applicability in designing and optimising 3D-printed electrical machines.

Open Access: Yes

DOI: 10.3390/en16186547