Modélisation énergétique et identification des trains pour l’écoconception des lignes ferroviaires à grande vitesse

Abstract : The current transport system is not sustainable because of its high consumption of finite resources (mainly oil) and its impact on the environment (air quality, global warming, etc.). In this context, rail has several advantages: lower consumption and emissions than road and air modes, larger passenger flow, etc. That is why, many rail infrastructures are planned in the world. Today, the impact of energy is not taken into account during the project design. The goal of this thesis is to include an energy criterion in the design phase, this is called ecodesign. For this, it is necessary to assess the energy cost of traffic. This is the focus of this thesis. A model of energy consumption of a train depending on the track profile is proposed. It is based on a mechanical model and an electric model. The parameters of this model are identified and the model is validated during experiments on the Rhin-Rhône high-speed line. Robotic techniques are used. Finally, the consumption of traffic is estimated by coupling this consumption model with a driver model. Proposed applications are various: evaluation of design rules concerning declivity, energy evaluation of a traffic flow and optimization of routes. An operational application is proposed by use of this work to the energy consumption of two project variants of the Montpellier-Perpignan high-speed line project.
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Submitted on : Friday, September 18, 2015 - 12:57:23 PM
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Romain Bosquet. Modélisation énergétique et identification des trains pour l’écoconception des lignes ferroviaires à grande vitesse. Automatique / Robotique. Univesrsité de Nates, 2015. Français. ⟨tel-01201921⟩

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