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PhD position - Optimisation of energy management strategy for fuel cell hybrid véhicles by combinatorial optimization methods using multi-physics models of performance and degradation
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JOB DETAILS
Published: 1 month ago
Application deadline: Oct 31
Location: Grenoble, France
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PhD position - Optimisation of energy management strategy for fuel cell hybrid véhicles by combinatorial optimization methods using multi-physics models of performance and degradation

SL-DRT-18-0856

RESEARCH FIELD

Automatics, Remote handling

ABSTRACT

The hybrid architecture requires the management of the components in order to improve some characteristics when comparing to conventional solutions.The power split strategy among the components allows to increase the performances of the system by the minimization of the energy consumption and/or increasing the durability of the system, while considering the mission requirements and technological constraints. Several methodologies has been used to develop an approach to obtain the energy management strategy with important results, but also with some limits related to the application.This PhD thesis proposition aims to deal with the indicated problems by applying a methodology able to solve a problem with different sources (battery, hydrogen fuel cells, super capacitors, etc.), different criteria (energy consumption, durability, cost, etc.) and several state dimensions (time, SOC, voltage, temperature, etc.) in an optimal way while considering a time calculation adapted to the application (sizing offline calculation, embedded implementation, etc.). The combinatory optimization methods are considered, at first sight, as valid options thanks to their capacity to solve complex and nonlinear problems that are used present in multi-sources and multi-dimensions hybrid applications. In the State of the Art, this type of methodology have shown the possibility to perform global optimization with less calculation effort and less memory allocation than the Dynamic Programming Method. Moreover, this methodology is less depend on the discretization of the problem as Dynamic Programming is. The main objective of this thesis is to develop an optimization methodology that combines the models of the system (performance models, controls and degradation) to the combinatory optimization strategy in a formal optimization problem.

LOCATION

Département de l’Electricité et de l’Hydrogène pour les Transports (LITEN)

Laboratoire Modélisation multi-échelle et suivi Performance

Grenoble

CONTACT PERSON

NAIFF DA FONSECA Ramon

CEA

DRT/DEHT//LMP

17 Rue des Martys 38000 Grenoble

Phone number: 0438781168

Email: ramon.naiff-dafonseca@cea.fr

UNIVERSITY / GRADUATE SCHOOL

INSA Lyon

Electronique, Electrotechnique et Automatique (EEA)

START DATE

Start date on 01-10-2018

THESIS SUPERVISOR

BIDEAUX Eric

CNRS

Laboratoire Ampère

Laboratoire Ampère20, av Albert Einstein69100 Villeurbanne

Phone number: 04 72 43 89 78

Email: eric.bideaux@insa-lyon.fr

« The age limit is 26 years for PhD offers and 30 years old for post-doc offers. »

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