Dr.-Ing. Arved Eßer
Picture: IMS

Arved Esser studied mechanical engineering at the TU Darmstadt and the Institut National Polytechnique in Grenoble. During his studies he focused on structural dynamics and vibration measurement technologies with application in automotive engineering.

Since July 2016 he is a research associate in the Vehicle Systems Research Group at the IMS. The main focus of his research is the comparative evaluation of the ecological potential of vehicle powertrain concepts based on real fleet driving data in a big data approach. In this context, the publicly funded project “FahrKLang”, led by Mr. Esser, created a holistic optimization environment that allows a robust comparison of different powertrain concepts. In addition, Mr. Esser was involved in the sub-project “Smart Car” within the national research centre for applied cybersecurity (ATHENE), in which he investigated the safe synthesis of representative driving cycles from fleet driving data.

Subject of dissertation (2021): Realfahrtbasierte Bewertung des ökologischen Potentials von Fahrzeugantriebskonzepten

Since May 2021 he has headed the Vehicle Systems research group.

Jump to: 2021 | 2020 | 2019 | 2018
Number of items: 19.

2021

Eßer, Arved (2021):
Realfahrtbasierte Bewertung des ökologischen Potentials von Fahrzeugantriebskonzepten.
Düren, Shaker Verlag, TU Darmstadt, ISBN 978-3-8440-8236-4,
[Ph.D. Thesis]

Leise, Philipp ; Eßer, Arved ; Eichenlaub, Tobias ; Schleiffer, J.-E. ; Altherr, Lena C. ; Rinderknecht, Stephan ; Pelz, P. F. (2021):
Sustainable system design of electric powertrains - comparison of optimization methods.
In: Engineering Optimization, Taylor & Francis, ISSN 0305-215X,
DOI: 10.1080/0305215X.2021.1928660,
[Article]

2020

Jardin, Philippe ; Eßer, Arved ; Rinderknecht, Stephan (2020):
Special Issue on Future Powertrain Technologies: Editorial.
In: Vehicles, 2 (4), pp. 574-575. MDPI, e-ISSN 26248921,
DOI: 10.3390/vehicles2040032,
[Article]

Eßer, Arved ; Rinderknecht, Stephan (2020):
Process for the Validation of Using Synthetic Driving Cycles Based on Naturalistic Driving Data Sets.
Rhodes, Greece, IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 20-23 Sept. 2020, ISBN 978-1-7281-4149-7,
DOI: 10.1109/ITSC45102.2020.9294369,
[Conference or Workshop Item]

Eßer, Arved ; Eichenlaub, Tobias ; Schleiffer, J.-E. ; Jardin, Philippe ; Rinderknecht, Stephan (2020):
Comparative evaluation of powertrain concepts through an eco-impact optimization framework with real driving data.
In: Optimization and Engineering, 21 (3), Springer, ISSN 13894420, e-ISSN 15732924,
DOI: 10.1007/s11081-020-09539-2,
[Article]

Blat-Belmonte, Benjamin ; Eßer, Arved ; Weyand, Steffi ; Franke, Georg ; Schebek, Liselotte ; Rinderknecht, Stephan (2020):
Identification of the Optimal Passenger Car Vehicle Fleet Transition for Mitigating the Cumulative Life-Cycle Greenhouse Gas Emissions until 2050.
2, In: Vehicles: Special Issue "Future Powertrain Technologies", 2020 (1), pp. 75-99. MDPI, e-ISSN 2624-8921,
[Article]

Eßer, Arved ; Schleiffer, J.-E. ; Eichenlaub, Tobias ; Rinderknecht, Stephan (2020):
Development of an Optimization Framework for the Comparative Evaluation of the Ecoimpact of Powertrain Concepts.
In: VDI-Berichte, 2354, Bonn, 10.-11. Juli 2019, 19. Internationaler VDI-Kongress "Dritev - Getriebe in Fahrzeugen", ISBN 978-3-18-092354-3,
DOI: 10.25534/tuprints-00011299,
[Conference or Workshop Item]

Eßer, Arved ; Eichenlaub, Tobias ; Rinderknecht, Stephan (2020):
Real-Driving-Based Comparison of the Eco-Impact of Powertrain Concepts using a Data-Driven Optimization Environment.
In: VDI-Berichte, 2373, pp. 309-342, Onlinekonferenz, 20. Internationaler VDI-Kongress "Dritev - Getriebe in Fahrzeugen", 24-25 Juni, ISSN 0083-5560, ISBN 978-3-18-092373-4,
DOI: 10.25534/tuprints-00011933,
[Conference or Workshop Item]

2019

Rinderknecht, Stephan ; Viehmann, Andreas ; Eßer, Arved ; Langhammer, Felix (2019):
Dedizierte Hybridantriebe für eine ökoeffiziente und langstreckentaugliche Mobilität der Zukunft.
In: eMobilJournal, (Juli 2019), InnoTech Medien GmbH, ISSN 2568-213X,
[Article]

Jardin, Philippe ; Eßer, Arved ; Givone, S. ; Eichenlaub, Tobias ; Schleiffer, J.-E. ; Rinderknecht, Stephan (2019):
The Sensitivity in Consumption of Different Vehicle Drivetrain Concepts Under Varying Operating Conditions: A Simulative Data Driven Approach.
In: Vehicles — Open Access Journal from MDPI, [Article]

2018

Rinderknecht, Stephan ; Eßer, Arved ; Haccius, Jan P. (2018):
Ecologically effective transformation from fossil to CO2-neutral energy sources for the powertrains of individual mobility.
17th CTI SYMPOSIUM, Berlin, Dezember 2018, [Conference or Workshop Item]

Eßer, Arved ; Kohnhäuser, F. ; Ostern, N. ; Engleson, K. ; Rinderknecht, Stephan (2018):
Enabling a Privacy-Preserving Synthesis of Representative Driving Cycles from Fleet Data using Data Aggregation.
In: 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 1384-1389. [Article]

Rinderknecht, Stephan ; Eßer, Arved ; Schleiffer, J.-E. ; Eichenlaub, Tobias (2018):
Comparative Real-Driving Optimization of Drivetrain Concepts regarding the Ecological Impact - A Big Data Approach for the Fleet.
eDSIM Conference 2018 - Electrified Drivelines & Engineering 4.0, Darmstadt, Deutschland, [Conference or Workshop Item]

Rinderknecht, Stephan ; Viehmann, Andreas ; Eßer, Arved (2018):
Innovative elektrifizierte Fahrzeugantriebe im Kontext der Realfahrtoptimierung.
In: Ingenieurspiegel, (August 2018), pp. 35-37. Public Verlagsgesellschaft, Bingen, [Article]

Rinderknecht, Stephan ; Eßer, Arved ; Jardin, Philippe (2018):
Relevance of Multidimensional Real-Driving Optimization for the Development of a Battery-Electric Vehicle 5.0.
In: VDI-Berichte, 2328, In: Dritev - International VDI Conress EDrive, pp. 118-136, VDI Verlag, ISBN 978-3-18-092328-4,
[Book Section]

Eßer, Arved ; Zeller, M. ; Foulard, Stéphane ; Rinderknecht, Stephan (2018):
Stochastic Synthesis of Representative and Multidimensional Driving Cycles.
In: SAE International Journal of Alternative Powertrains, 7 (3), pp. 263-272. ISSN 2167-4205,
[Article]

Ostern, Nadine ; Eßer, Arved ; Buxmann, Peter (2018):
Capturing Users‘ Privacy Expectations to Design Better Smart Car Applications.
In: Proceedings of the 22nd Pacific Asia Conference on Information Systems, Yokohama, Japan, [Article]

Eßer, Arved ; Kohnhäuser, Florian ; Ostern, Nadine ; Engleson, K. ; Rinderknecht, Stephan (2018):
Enabling a Privacy-Preserving Synthesis of Representative Driving Cycles from Fleet Data using Data Aggregation.
In: Proceedings of the 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, HI, USA, [Article]

Eßer, Arved ; Schleiffer, J.-E. ; Eichenlaub, Tobias ; Kuznik, Alexander ; Seier, Maximilian ; Weyand, Steffi ; Nordenholz, Falko ; Steck, Felix ; Kröger, Lars ; Schebek, Liselotte ; Beidl, Christian ; Rinderknecht, Stephan (2018):
Verbrauchs- und Emissionsbewertung von Fahrzeugantriebskonzepten für die Langstreckenmobilität der Zukunft : Abschlussbericht FahrKLang : Berichtszeitraum: 01.10.2017-30.09.2018.
Darmstadt, Technische Universität Darmstadt, DOI: 10.2314/KXP:1696925533,
[Report]

This list was generated on Sun Oct 24 14:57:13 2021 CEST.