OPED - Optimization of Electric Drives

EMD – E-Mobility and Alternative Drivetrains

Forschungsschwerpunkte:

  • Ganzheitliche Betrachtung und Optimierung der Entwicklungsprozesse mechatronischer Systeme
  • Funktionale Sicherheit in mechatronischen Antriebssystemen
  • Auslegung & Integration elektrischer Traktionsantriebe
  • Sensortechnologien für elektrische Antriebe
  • Modellbildung, Simulation und messtechnische Bewertung von hybriden Antrieben
  • Betriebsstrategien für hybride Antriebe in PKW und Nutzfahrzeugen
  • Optimierung von Kupplungssysteme für Allradantriebe

Kompetenzen:

  • Entwicklungsmethodik Gesamtfahrzeug
  • Entwicklungsprozesse & Qualitätsmanagement (FUSI, SPICE, FMEA, FTA, FMEDA, SPSS)
  • Methodenentwicklung & Simulation alternativer Antriebssysteme
  • Hochentwickelter Sensorprüfstand für elektrische Antriebe
  • Echtzeitfähige Simulation von Gesamtfahrzeug, Fahrer und Umgebung
  • Auslegung und Komponentenintegration alternativer Antriebsstränge in bestehende und visionäre Fahrzeugkonzepte
2022
Konstantin Huber, Albert Sorgdrager, Philipp Laaber, Dominik Lechleitner and Martin Hofstetter Multi-Objective System Optimization by Means of Evolutionary Algorithms for Electric Powertrain Development: Magna-OPED 43. Internationales Wiener Motorensymposium
2021
Dominik Lechleitner, Martin Hofstetter, Mario Hirz, Christoph Gsenger and Konstantin Huber Parking Lock Integration for Electric Axle Drives by Multi-Objective Design Optimization DRITEV – Drivetrain for Vehicles 2021 303 - 318
2020
Dominik Lechleitner, Martin Hofstetter and Mario Hirz Cost Reduction of Electric Powertrains by Platform-Based Design Optimization
2019
Mario Hirz, Martin Hofstetter and Dominik Lechleitner Electric Propulsion Systems Design Supported by Multi-Objective Optimization Strategies 16th European Automotive Congress EAEC 2019
Mario Hirz, Martin Hofstetter and Dominik Lechleitner Electric Propulsion Systems Design Supported by Multi-Objective Optimization Strategies
Martin Hofstetter, Dominik Lechleitner and Mario Hirz System Cost Reduction by Electric Powertrain Design Optimization
2018
Arno Eichberger, Susanne Wrighton, Harald Kraus, Martin Hofstetter, Martin Ackerl, Ricardo Tiefengruber, Georg Peneder, Michael Schadler, Norbert Hafner, Günter Kronawetter, Angelika Rauch and Rudolf Hubauer Mobile Multi-functional Urban Logistics-Platforms with Electric Drive Train 7th Transport Research Arena (TRA2018)
Martin Hofstetter, Mario Hirz, Martin Gintzel and Andreas Schmidhofer Multi-Objective System Design Synthesis for Electric Powertrain Development 2018 IEEE Transportation and Electrification Conference and Expo (ITEC) 286-292
Martin Hofstetter, Dominik Lechleitner, Mario Hirz, Martin Gintzel and Andreas Schmidhofer Multi-Objective Gearbox Design Optimization for xEV-Axle Drives under Consideration of Package Restrictions International VDI Congress Dritev - Drivetrain for Vehicles 239-254
Martin Hofstetter, Dominik Lechleitner, Mario Hirz, Martin Gintzel and Andreas Schmidhofer Multi-objective gearbox design optimization for xEV-axle drives under consideration of package restrictions
Martin Hofstetter Multi-Objective System Design Synthesis for Electric Powertrain Development
M. Hofstetter, D. Lechleitner, M. Hirz, M. Gintzel and A. Schmidhofer Multi-kriterielle Optimierung eines xEV-Getriebes unter Berücksichtigung von Bauraumeinschränkungen Dritev 239-254
2016
Paul Karoshi, Karin Tieber, Christopher Kneissl, Georg Peneder, Harald Kraus, Martin Hofstetter, Jürgen Fabian and Martin Ackerl A History-Based Load Requirement Prediction Algorithm, for Predictive Hybrid- and Thermal Operation Strategies A History-Based Load Requirement Prediction Algorithm, for Predictive Hybrid- and Thermal Operation Strategies
Martin Hofstetter, Mario Hirz and Martin Ackerl System Design Optimization of xEV-Axle Drives with Package Restrictions Proceedings of the FISITA 2016 World Automotive Congress
Martin Hofstetter, Mario Hirz and Martin Ackerl Package and Architecture of xEV Axle Drives with Predictive Operating Strategies
Martin Hofstetter System Design Optimization of xEV-Axle Drives with Package Restrictions
Martin Hofstetter Sensor Range Sensitivity of Predictive Energy Management in Plug-In Hybrid Vehicles
2015
Martin Hofstetter, Martin Ackerl, Mario Hirz, Harald Kraus, Paul Karoshi and Jürgen Fabian Sensor Range Sensitivity of Predictive Energy Management in Plug-In Hybrid Vehicles 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings 1925-1932