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Number of items: 12.

Eichenlaub, Tobias ; Heckelmann, Paul ; Rinderknecht, Stephan (2023)
Efficient Anticipatory Longitudinal Control of Electric Vehicles through Machine Learning-Based Prediction of Vehicle Speeds.
In: Vehicles, 5 (1)
doi: 10.3390/vehicles5010001
Article, Bibliographie

Liu, Zhihong ; Eichenlaub, Tobias ; Rinderknecht, Stephan (2023)
A survey of sequential adaptive sampling strategy for transmission power loss measurement.
In: Mechanical Systems and Signal Processing, 183
doi: 10.1016/j.ymssp.2022.109644
Article, Bibliographie

Eichenlaub, Tobias (2023)
Simulative Untersuchungen zu effizienter Längsdynamikregelung von Fahrzeugen im städtischen Verkehr.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie

Eichenlaub, Tobias ; Rinderknecht, Stephan (2021)
Anticipatory Longitudinal Vehicle Control using a LSTM Prediction Model.
doi: 10.1109/ITSC48978.2021.9564787
Conference or Workshop Item, Bibliographie

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, Bibliographie

Eichenlaub, Tobias ; Rinderknecht, Stephan (2021)
Intelligent Set Speed Estimation for Vehicle Longitudinal Control with Deep Reinforcement Learning.
2021 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE 2021). Seoul, Republic of Korea (19.02.2021)
doi: 10.1145/3459104.3459123
Conference or Workshop Item, Bibliographie

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, Bibliographie

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

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, 1 (1)
doi: 10.3390/vehicles1010005
Article, Bibliographie

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, Bibliographie

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, Bibliographie

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