Arved Eßer, M.Sc.

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 with the aim of obtaining a doctorate. 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.

Jump to: 2020 | 2019 | 2018
Number of items: 13.

2020

Blat Belmonte, Benjamin and Eßer, Arved and Weyand, Steffi and Franke, Georg and Schebek, Liselotte and Rinderknecht, Stephan (2020):
Identification of the Optimal Passenger Car Vehicle Fleet Transition for Mitigating the Cumulative Life-Cycle Greenhouse Gas Emissions until 2050.
In: Vehicles: Special Issue "Future Powertrain Technologies", 2 (1), 2020. MDPI, pp. 75-99, e-ISSN 2624-8921,
[Online-Edition: https://www.mdpi.com/2624-8921/2/1/5],
[Article]

Eßer, Arved and Schleiffer, J.-E. and Eichenlaub, Tobias and Rinderknecht, Stephan (2020):
Development of an Optimization Framework for the Comparative Evaluation of the Ecoimpact of Powertrain Concepts.
2354In: VDI-Berichte, Bonn, 10.-11. Juli 2019, In: 19. Internationaler VDI-Kongress "Dritev - Getriebe in Fahrzeugen", ISBN 978-3-18-092354-3,
DOI: 10.25534/tuprints-00011299,
[Online-Edition: https://tuprints.ulb.tu-darmstadt.de/11299],
[Conference or Workshop Item]

2019

Rinderknecht, Stephan and Viehmann, Andreas and Eßer, Arved and Langhammer, Felix (2019):
Dedizierte Hybridantriebe für eine ökoeffiziente und langstreckentaugliche Mobilität der Zukunft.
In: eMobilJournal, (Juli 2019), InnoTech Medien GmbH, ISSN 2568-213X,
[Online-Edition: https://www.emobilserver.de/emobil-exklusiv/1818-dedizierte-...],
[Article]

Jardin, Philippe and Eßer, Arved and Givone, S. and Eichenlaub, Tobias and Schleiffer, J.-E. and 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, [Online-Edition: https://www.mdpi.com/journal/vehicles],
[Article]

2018

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

Eßer, Arved and Kohnhäuser, F. and Ostern, N. and Engleson, K. and 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, [Online-Edition: https://ieeexplore.ieee.org/document/8569429],
[Article]

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

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

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

Eßer, Arved and Zeller, M. and Foulard, Stéphane and 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,
[Online-Edition: https://doi.org/10.4271/2018-01-0095],
[Article]

Ostern (geborene Rückeshäuser), Nadine and Eßer, Arved and 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 and Kohnhäuser, Florian and Ostern (geborene Rückeshäuser), Nadine and Engleson, K. and 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 and Schleiffer, Jean-Eric and Eichenlaub, Tobias and Kuznik, Alexander and Seier, Maximilian and Weyand, Steffi and Nordenholz, Falko and Steck, Felix and Kröger, Lars and Schebek, Liselotte and Beidl, Christian and 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 Thu Jun 4 21:58:44 2020 CEST.