Zoltán Szeli

56422376100

Publications - 7

Performance Analysis of Position Estimation and Correction Methods †

Krisztian Enisz Ernö Horváth Zoltán Szeli József Gábor Pázmány Norbert Marko

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

There are several global and local position estimation and refinement techniques based on the GNSS (Global Navigation Satellite System) and environmental monitoring (e.g., LIDAR, Light Detection and Ranging). These are usually based on a combination of multiple sensors using some form of sensor fusion, together with a filtering or observation technique. The behavior of these algorithms may vary depending on the applied sensor signals and on their accuracy under different environmental conditions and for different vehicle types. In the case of systems that also use GNSS signals, different procedures must also be prepared for signal dropouts and, in the worst case, drastic fluctuations in accuracy. The aim of this research is to present and compare the performance of different estimation procedures for different vehicles and environmental conditions.

Open Access: Yes

DOI: 10.3390/engproc2024079061

Self-Driving Vehicle Sensors from One-Seated Experimental to Road-legal Vehicle

Ernö Horváth Zoltán Szeli Péter Korös Gábor Szakállas Peter Gulyas Zoltan Pusztai

Publication Name: Ines 2020 IEEE 24th International Conference on Intelligent Engineering Systems Proceedings

Publication Date: 2020-07-01

Volume: Unknown

Issue: Unknown

Page Range: 97-101

Description:

Our university is determined to research and educate self-driving and autonomous technology. These two field require different necessities and attitude. In his paper we would like to summarize the migration from a road-legal vehicle to a self-developed, one-seated vehicle. We will describe the challenges of the migration process and of course how to overcome these challenges. The current paper also proposes recommendations and use-cases regarding self-driving vehicle sensory system.

Open Access: Yes

DOI: 10.1109/INES49302.2020.9147181

Development of a 400V/1000A inverter for testing electric drivetrains

Zoltán Szeli Gábor Szakállas

Publication Name: 31st International Electric Vehicle Symposium and Exhibition Evs 2018 and International Electric Vehicle Technology Conference 2018 Evtec 2018

Publication Date: 2018-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The article describes the development process of an inverter that is suitable for driving, testing and supporting the development of synchronous and asynchronous electric motors. Design concepts and goals, hardware architecture, system components, built-in features and protections are presented regarding the power stage.

Open Access: Yes

DOI: DOI not available

Maximizing battery life and usable capacity with battery management system in electric vehicles

Zoltán Szeli Gábor Szakállas Ferenc Szauter

Publication Name: Proceedings of the ASME Design Engineering Technical Conference

Publication Date: 2017-01-01

Volume: 9

Issue: Unknown

Page Range: Unknown

Description:

In terms of the electric vehicles is an important issue of sizing a battery pack. The designer must take account of parameters such as cost, weight and durability. We can optimize these parameters with the help of a battery management system with integrated active cell balancing function. The article describes the development of a battery management system that developed by the Research Centre of Vehicle Industry at Széchenyi István University, Gyor, Hungary.

Open Access: Yes

DOI: 10.1115/DETC2017-67939

Optimum control strategy for PMSM in field-weakening region by constant power

I. Szenasy Zoltán Szeli Z. Varga

Publication Name: Electrical Systems for Aircraft Railway and Ship Propulsion Esars

Publication Date: 2015-05-04

Volume: 2015-May

Issue: Unknown

Page Range: Unknown

Description:

For electric vehicles an applied control of PMSM is the flux weakening operation for extending the region over nominal speed on nominal voltage. This paper deals with these questions and its impacts. Proved methods increase the torque angle and the d axis directed component of the stator current vector reduces the main flux, but the eddy current loss developing in magnets became significant. These impacts and their reduction need several investigations. This paper preents the possibilities and limits of flux-weakening for a given PMSM, and gives a usable optimum control strategy on nominal power's region by varied speeds.

Open Access: Yes

DOI: 10.1109/ESARS.2015.7101435

A control strategy to minimize magnet losses in vehicle PMSM by field-weakening operation

I. Szenasy Zoltán Szeli Z. Varga Péter Korös

Publication Name: 2013 World Electric Vehicle Symposium and Exhibition Evs 2014

Publication Date: 2014-10-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

An applied control of PMSM is the flux weakening operation for extending the region over nominal speed on nominal voltage. This paper deals with these questions and its impacts. The proved method increases the torque angle and with this the d axis directed component of the stator current vector for reduce the main flux, but the loss developing in magnets became significant. These impacts and its reduction need several investigations. Our work indicates the possibilities and limits of flux-weakening for a given PMSM, and a usable control strategy.

Open Access: Yes

DOI: 10.1109/EVS.2013.6915035

User-Specific Load Profile Clustering for Automotive Battery Applications †

Krisztian Enisz Zoltán Szeli József Gábor Pázmány

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

In applied battery research, use-case-driven prediction is becoming increasingly important, particularly for predicting real-life load profiles. This study proposes techniques to forecast lifetime load profiles for traction batteries, comparing urban- and highway-dominated vehicular use cases. Both charging and discharging scenarios are analyzed. We examine the uncertainty in these profiles and conduct a sensitivity analysis to understand the relationship between load profiles and user behavior. In this study, we introduce a novel methodology that maps behavioral and environmental parameters to battery load clusters, enabling us to identify high-risk aging scenarios. Based on parameter studies, we perform load profile clustering to identify critical use case groups and observe key parameter interactions. We present a case study of an idealized driver under Hungarian environmental conditions to predict outlier battery usage in fleets. This novel approach enables more robust predictions of aging and performance degradation for automotive traction batteries across different user clusters.

Open Access: Yes

DOI: 10.3390/engproc2025113074