Modelling and control using EMR, application to HEVs and others
Summer School of University of Sion of Applied Sciences (Switzerland)
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), Montréal (Canada, 2016), Lille (France, 2017), Hanoi (Vietman, 2018), Lille (France 2019), and Lille (France 2021), the EMR summer school EMR'22 was held in Sion (Switzerland). It was organized by the University of Sion of Applied Sciences (Switzerland).
This workshop is focused on the Energetic Macroscopic Representation (EMR) methodology for modelling and control of complex electromechanical systems.
EMR is a graphical formalism that was introduced in 2000 to describe complex electromechanical systems. EMR has since been extended to complex multi-physical systems (thermal science, electrochemistry, fluid mechanics …). EMR is based on the action-reaction principle to organize the interconnection of models of sub-systems according to the physical causality (i.e. integral causality). 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, 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 description 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 description rather than a structural description. It hence contributes significantly to the design of control and energy management of 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.
Prof. Philippe BARRADE - General Chair of EMR'22 (University of Applied Sciences Western Switzerland)
Prof. Alain BOUSCAYROL - Co-Chair of EMR'22 (University of Lille, L2EP, MEGEVH, France)
EMR'22 Summer School address: HES-SO Valais/Wallis, Rue de l’industrie 21, 1950 Sion, Switzerland.