Tobias Eichenlaub, M.Sc.
Picture: IMS

Tobias Eichenlaub studied mechanical engineering at the TU Darmstadt and the University of Warwick (UK). Focus of his studies were different simulation methods particularly in the automotive field.

Since June 2018, he is part of the research group “Vehicle Systems” at the IMS. He is working on the adaptive longitudinal control and operating strategy of connected, self-learning vehicles including methods from the field of Artificial Intelligence and Machine Learning. In this context, he is involved in the project area “Resilient Self-Learning Autonomous Vehicles” of the national research center for applied cybersecurity (ATHENE).

Jump to: 2021 | 2020 | 2019 | 2018
Number of items: 8.


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,

Eichenlaub, Tobias ; Rinderknecht, Stephan (2021):
Intelligent Set Speed Estimation for Vehicle Longitudinal Control with Deep Reinforcement Learning.
pp. 101-107, Darmstadt, Association for Computing Machinery, 2021 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE 2021), Seoul, Republic of Korea, 19.02.2021, ISBN 978-1-4503-8983-9,
DOI: 10.1145/3459104.3459123,
[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,

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]


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 ; 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]

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,

This list was generated on Wed Oct 27 07:28:12 2021 CEST.