Philippe Jardin, M.Sc.

Picture: IMS

Philippe Jardin studied mechanical engineering at the TU Darmstadt and the University of California, Berkeley. During his studies he focused on the control of mechatronic systems in practical applications.

Since September 2018, he is part of the research group “Vehicle Systems” at the IMS. Together with Daimler AG his research is on cloud-based comfort functions for longitudinal vehicle dynamics. The goal of this cooperation is the application of new methods from machine learning in synergy with outsourcing of software calculations into a cloud environment. From that, future comfort functions that will adapt individually to the driver are developed.

Jump to: 2020 | 2019 | 2018
Number of items: 6.


Jardin, Philippe and Eßer, Arved and 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,

Jardin, Philippe and Moisidis, Ioannis and Zetina, Siegfried Saenger and Rinderknecht, Stephan (2020):
Rule-Based Driving Style Classification Using Acceleration Data Profiles.
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 and Eichenlaub, Tobias and Schleiffer, J.-E. and Jardin, Philippe and 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,

Jungblut, Jens and Viehmann, Andreas and Jardin, Philippe and 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 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, [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, 2328, In: Dritev - International VDI Conress EDrive, pp. 118-136, VDI Verlag, ISBN 978-3-18-092328-4,
[Book Section]

This list was generated on Fri Feb 26 04:00:07 2021 CET.