EMR 2021

Modelling and control using EMR, application to HEVs and others

Summer School of University of Lille (France)

Download the EMR’21 flyer in PDF (Flyer English version)

The 13th EMR (Energetic Macroscopic Representation) international summer school has been organized by University of Lille (France) from the 14th to 17th of June 2021 in hybrid mode. EMR’21 has proposed 6 lectures on concepts, 24 lectures on applications, 9 simulation sessions (1 face-to-face and 8 on-line for different world areas). In terms of attendees, a new record has been achieved thanks to the hybrid mode: 169 attendees from 19 countries[1] (27 in-presence and 142 on-line). During this special edition, only an electric vehicle has been proposed as simulation work, both in Matlab-Simulink© and Simcenter-Amesim ©. EMR’21 has been supported by scientific organizations (IEEE-VTS, MEGEVH, SEEDS, L2EP), foundations (i-SITE ULNE, IC ARTS), and industrial cluster and companies (dSPACE France, Siemens Software, Typhoon and MEDEE cluster). A special day has been co-organized with the H2020 PANDA project, which also provides the EMR library and PANDA cloud for Simcenter-Amesim© managed by Siemens Industry Software).

[1] Belgium, Canada, China, Colombia, Ethiopia, France, India, Italy, Japan, Morocco, Portugal, Romania, Serbia, South Africa, Spain, Switzerland, UK, USA, Vietnam,

Photos of EMR'21, Lille, France


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.

Summer School

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. Betty LEMAIRE-SEMAIL - General Chair of EMR'21 (University of Lille, L2EP, France)


Prof. Alain BOUSCAYROL - Co-Chair of EMR'21 (University of Lille, L2EP, MEGEVH, France)