• 293 Citations
20112018
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Personal profile

Research profile

Emilia Silvas is an Assistant Professor at the Mechanical Engineering Department at Eindhoven University of Technology (TU/e).

Her current work interest lies in area of Cooperative/Autonomous Vehicle Systems and Mobile Robots. This includes Advanced Control Methods; Optimal System Design (including multi-level optimization); System Identification and Modeling; Data Mining (methods at the intersection of artificial intelligence, machine learning and statistics). Emilia’s research experience includes integrated hybrid vehicle system design for commercial vehicles, involving development of a method for optimally choosing topologies, sizes and control for hybrid vehicles, both on the power train level as-well as at the auxiliary units level. This research project received financial support from the Dutch Automotive Research Program HTAS (High Tech Automotive Systems).

Academic background

Emilia Silvas received her PhD from TU/e in 2015, working on integrated optimal design for hybrid electric vehicles. Emilia completed her undergraduate study in Automatic Control and Computer Science (2005-2009) at the ‘Politehnica’ University of Bucharest, Romania, graduating with the highest possible marks (10/10) for the thesis ‘Neuro-Fuzzy Control of an Inverted Pendulum System’. From 2009 to 2011 Emilia followed the Systems and Control Master at Eindhoven University of Technology, graduating with the thesis ‘Decoupling and Modal Control of a 6 Degrees of Freedom Motion System’. The research for her master thesis and internship were conducted at ASML Mechatronics Research Department in Veldhoven, The Netherlands.

In addition to her work at TU/e, Emilia is a Scientist and Team Lead (Cooperative Control Systems Team) within the Integrated Vehicle Safety Department of TNO (Netherlands Organization for Applied Scientific Research). She is also a member of the WISE-Network for female scientific staff at TU/e.

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  • 2 Similar Profiles
Hybrid vehicles Engineering & Materials Science
Topology Engineering & Materials Science
Powertrains Engineering & Materials Science
Fuel consumption Engineering & Materials Science
Energy management Engineering & Materials Science
Hybrid Electric Vehicle Mathematics
Trucks Engineering & Materials Science
Air conditioning Engineering & Materials Science

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Research Output 2011 2018

Effects of using synthesized driving cycles on vehicle fuel consumption

Hereijgers, J. A. J., Silvas, E., Hofman, T. & Steinbuch, M., 1 Jan 2017, In : IFAC-PapersOnLine. 50, 1, p. 7766-7771 6 p.

Research output: Contribution to journalConference articleAcademicpeer-review

Fuel consumption
Hybrid vehicles
Markov processes
23 Citations (Scopus)
5 Downloads (Pure)

Synthesis of realistic driving cycles with high accuracy and computational speed, including slope information

Silvas, E., Hereijgers, K., Peng, H., Hofman, T. & Steinbuch, M., 1 Jun 2016, In : IEEE Transactions on Vehicular Technology. 65, 6, p. 4118-4128 11 p., 7440892.

Research output: Contribution to journalArticleAcademicpeer-review

Slope
High Accuracy
Synthesis
Cycle
Powertrains
28 Citations (Scopus)
144 Downloads (Pure)

Functional and cost-based automatic generator for hybrid vehicles topologies

Silvas, E., Hofman, T., Serebrenik, A. & Steinbuch, M., Aug 2015, In : IEEE/ASME Transactions on Mechatronics. 20, 4, p. 1561-1572

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Hybrid vehicles
Topology
Costs
Energy efficiency
Electric machinery
76 Citations (Scopus)
15 Downloads (Pure)

A control benchmark on the energy management of a plug-in hybrid electric vehicle

Sciarretta, A., Serrao, L., Dewangan, P. C., Tona, P., Bergshoeff, N. D., Bordons, C., Charmpa, L., Elbert, P., Eriksson, L., Hofman, T., Hubacher, M., Isenegger, P., Lacandia, F., Laveau, A., Li, H., Marcos, D., Nüesch, T., Onori, S., Pisu, P., Rios, J. & 5 others, Silvas, E., Sivertsson, M., Tribioli, L., Hoeven, van der, A-J. & Wu, M., 2014, In : Control Engineering Practice. 29, p. 287-298

Research output: Contribution to journalConference articleAcademicpeer-review

Plug-in hybrid vehicles
Hybrid Electric Vehicle
Energy Management
Energy management
Plug-in
2 Citations (Scopus)
1 Downloads (Pure)

Robust model predictive cooperative adaptive cruise control subject to V2V impairments

van Nunen, E., Verhaegh, J., Silvas, E., Semsar-Kazerooni, E. & van de Wouw, N., 14 Mar 2018, 2017 IEEE 20th International Conference on Intelligent Transportation Systems, ITSC 2017. Piscataway: Institute of Electrical and Electronics Engineers, p. 1-8 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Adaptive cruise control
Communication
Vehicle to vehicle communications
Trucks
Throughput

Student theses

Driving cycle synthesis and its effects on HEV fuel consumption

Author: Hereijgers, J., 30 Nov 2015

Supervisor: Besselink, I. (Supervisor 1), van Heck, J. (External coach), Hofman, T. (Supervisor 2), Silvas, E. (Supervisor 2) & Steinbuch, M. (Supervisor 2)

Student thesis: Master

Modal control of a 6 degrees of freedom motion stage

Author: Silvas, E., 30 Sep 2011

Supervisor: Aangenent, W. (External coach), van de Wal, M. (External coach), Hoogendijk, R. (Supervisor 1), Steinbuch, M. (Supervisor 2), van Lierop, C. (Supervisor 2) & van de Molengraft, M. (Supervisor 2)

Student thesis: Master

Using cut-in prediction in cooperative adaptive cruise control

Author: Fahdzyana, C., 31 Aug 2017

Supervisor: Silvas, E. (Supervisor 1), Barosan, I. (Supervisor 2), van Nunen, E. (Supervisor 2) & Steinbuch, M. (Supervisor 2)

Student thesis: Master