EMR'14, " Modelling and control using EMR"
Application to hybrid electric vehicles and others”
Joint summer school of INESC (Coimbra) and
June 16th-18th, 2014
The first international EMR workshops was held in Lille (France) in June 2006.
The previous EMR summer schools took place in Harbin (China, EMR'08) in September 2008, in Trois-Rivières (Canada, EMR'09) in September 2009, in Lausanne (Switzerland, EMR'11) in July 2011, and in Madrid (Spain, EMR’12) in June 2012 and in Lille in 2013.
This summer school was co-organized by Dr. João Pedro TROVÃO (Polyt. Inst. of Coimbra, INESC Coimbra, APVE Portugal) and Prof. Alain BOUSCAYROL (Université Lille1, L2EP, France). The program was composed of 3 lectures on EMR concepts, several lectures on various applications and 3 simulation sessions (Electric Vehicle, Wind turbine, Photovoltaic System).
EMR'14 has been thus successfully co-organized by INESC Coimlbra and Université Lille1 / L2EP. There were 54 attendees from 5 countries (Canada, Denmark, France, Portugal and Spain); about 3/4 of attendees were Master or PhD Students, 3 lectures on concepts, 16 lectures on applications, 3 simulations sessions, plus the PhD works.
Photos of EMR'14, Coimbra, Portugal
This workshop was focused on the Energetic Macroscopic Representation (EMR) methodology for modelling and control of complex electromechanical systems.
This Summer School was 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.
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 causal modelling 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 non-causal 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. Joao Pedro TROVAO
Prof. Alain BOUSCAYROL
Prof. Carlos Henggeler ANTUNES (University of Coimbra, INESC Coimbra, Portugal)
Dr. Philippe BARRADE (Ecole Polytechnique Fédérale de Lausanne, LEI, Switzerland)
Dr. Loïc BOULON (Université du Québec à Trois-Rivières, GRÉI, Canada)
Prof. Daniel HISSEL (University of Franche Comté, FEMTO-ST, MEGEVH, France)
Dr. Xavier KESTELYN (Arts&Métiers ParisTech, L2EP, France)
Prof. Betty LEMAIRE-SEMAIL (Université Lille1, L2EP, France)
Dr. Walter LHOMME (Université Lille1, L2EP, MEGEVH, France)
Prof. Paulo G. PEREIRINHA (Polyt. Instit. of Coimbra, INESC Coimbra, APVE Portugal)
Prof. Pierre SICARD (Université du Québec à Trois-Rivières, GRÉI, Canada)
Université Lille1, Sciences et Technologies
(French scientific network on EVs and HEVs)
IEEE - VTS
(Vehicular Technology society)
(Control chapter of the European Power Electronics Association)
FCT - Fundação para a Ciência e a Tecnologia