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Jan 20, 2017

EMR'17 Summer School


Lille, Université Lille1 (France) 19-21 June 2017
Category: General
Posted by: EmrAdmin

EMR'17, " Modelling and control using EMR,

application to HEVs and others"

Summer School
Lille, France 
19-21 June 2017

 

Presentation

 

 

Program

 

 

Registration

 

 

Committees

 

 

Sponsorship

 

 

Access

 

 

Download the EMR’17 flyer in PDF (English version)

 

After Lille (France, 2006), Harbin (China, 2008), Trois-Rivières (Canada, 2009), Lausanne (Switzerland, 2011), Madrid (Spain, 2012), Lille (France, 2013), Coimbra (Portugal, 2014), Lille (France, 2015), and Montréal (Canada, 2016), the EMR summer school EMR'17 will be organized by the University of Lille1 (France).

This Summer School is dedicated to Master and PhD students, engineers and scientists, from both academia and industry, which have to model and control new multi-physical systems such as industrial multi-drive systems, traction and propulsion systems, hybrid electric vehicles, or renewable energy generation systems.

We are looking forward to meeting you in Lille.


Photos of EMR'16, Montréal, Canada

Presentation

This workshop is focused on the Energetic Macroscopic Representation (EMR) methodology for modelling and control of complex electromechanical systems.

This Summer School is aimed at Master and PhD students, Engineers and scientists, from both academia and industry, who have to model and control new multi-physical systems such as industrial multi-drive systems, traction and propulsion systems, hybrid electric vehicles, or renewable energy generation systems.

EMR is a graphical modelling tool that was introduced in 2000 to describe complex electromechanical systems. EMR has since been extended to complex multi-physical systems (combining thermal science, electrochemistry, fluid mechanics…). EMR is based on the action-reaction principle to organize the interconnection of sub-systems according to the physical causality (i.e. integral). This description highlights energetic properties of the system (energy accumulation, conversion and distribution). Moreover, an inversion-based control can be systematically deduced from EMR using specific inversion rules.

Compared with other graphical description tools, such as Bond Graphs or Causal Ordering Graphs (COG), EMR has a more global energetic view and contributes to system’s control design. It differs from structural modelling tools such as Physic Modelling Language (PML) using Object-Oriented Modelling Language, which makes its libraries to be coupled in the same way as physical units. EMR is focused on the system function and not only on the system structure. EMR gives insights into the real energy operation of systems and allows a deep understanding of its potentialities from a dynamic point of view.

In short, the distinct features of EMR lie in its clarity of physical concepts, as well as their physical causality, and its functional modelling rather than a structural modelling. It hence contributes significantly to the design of control and energy management of systems.


Dr. Ali CASTAINGS
General Chair of EMR'17
(University of Lille1,
L2EP, MEGEVH, France)

Prof. Alain BOUSCAYROL
Co-Chair of EMR'17
(University of Lille1,
L2EP, MEGEVH, France)


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