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Jardin, Philippe ; Moisidis, Ioannis ; Kartal, Kürsat ; Rinderknecht, Stephan (2022):
Adaptive Driving Style Classification through Transfer Learning with Synthetic Oversampling. (Publisher's Version)
In: Vehicles, 4 (4), pp. 1314-1331. MDPI, e-ISSN 2624-8921,
DOI: 10.26083/tuprints-00022978,
[Article]
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]
Jardin, Philippe ; Moisidis, Ioannis ; Saenger Zetina, Siegfried ; Rinderknecht, Stephan (2020):
Rule-Based Driving Style Classification Using Acceleration Data Profiles.
pp. 1-6, Rhodes, Greece, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 20-23 Sept. 2020, ISBN 978-1-7281-4149-7,
DOI: 10.1109/ITSC45102.2020.9294611,
[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]
Jungblut, Jens ; Viehmann, Andreas ; Jardin, Philippe ; Rinderknecht, Stephan (2020):
System dynamics improvement with state-of-the-art mechatronics : potentials and challenges.
In: MEDYNA 2020: 3rd Euro-Mediterranean Conference on Structural Dynamics and Vibroacoustics, pp. 67-76,
Neapel, Italien, 17-19 Februar 2020, ISBN 9788890648465,
[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 ; 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]