He, Ping ; Schmiedt, Marius ; Eßer, Arved ; Rinderknecht, Stephan (2022)
A Degradation Model of a Wet Friction Clutch based on Theoretical and Experimental Analysis and the Application for a Condition Monitoring Method.
22. Internationaler VDI-Kongress Dritev. Baden-Baden (06.07.-07.07.2022)
doi: 10.51202/9783181024010-303
Conference or Workshop Item

Eßer, Arved ; Mölleney, Jan ; Rinderknecht, Stephan (2022)
Potentials to Reduce the Energy Consumption of Electric Vehicles in Urban Traffic.
22. Internationaler VDI-Kongress Dritev. Baden-Baden (06.07.-07.07.2022)
doi: 10.26083/tuprints-00021628
Conference or Workshop Item, Secondary publication, Publisher's Version

Eßer, Arved (2021)
Realfahrtbasierte Bewertung des ökologischen Potentials von Fahrzeugantriebskonzepten.
TU Darmstadt
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
doi: 10.1080/0305215X.2021.1928660
Article

Eßer, Arved (2021)
Realfahrtbasierte Bewertung des ökologischen Potentials von Fahrzeugantriebskonzepten.
doi: 10.26083/tuprints-00019776
Book, Secondary publication, Publisher's Version

Jardin, Philippe ; Eßer, Arved ; Rinderknecht, Stephan (2020)
Special Issue on Future Powertrain Technologies: Editorial.
In: Vehicles, 2 (4)
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.
IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC). (20-23 Sept. 2020)
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)
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.
In: Vehicles, 2 (1)
doi: 10.3390/vehicles2010005
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.
19. Internationaler VDI-Kongress "Dritev - Getriebe in Fahrzeugen".
doi: 10.25534/tuprints-00011299
Conference or Workshop Item, Secondary publication

Eßer, Arved ; Eichenlaub, Tobias ; Rinderknecht, Stephan (2020)
Real-Driving-Based Comparison of the Eco-Impact of Powertrain Concepts using a Data-Driven Optimization Environment.
20. Internationaler VDI-Kongress "Dritev - Getriebe in Fahrzeugen". (24-25 Juni)
doi: 10.25534/tuprints-00011933
Conference or Workshop Item, Primary publication

Rinderknecht, Stephan ; Viehmann, Andreas ; Eßer, Arved ; Langhammer, Felix (2019)
Dedizierte Hybridantriebe für eine ökoeffiziente und langstreckentaugliche Mobilität der Zukunft.
In: eMobilJournal, (Juli 2019)
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

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)
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)
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: Dritev - International VDI Conress EDrive
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)
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.
doi: 10.2314/KXP:1696925533
Report