Sunday 25-Jun-17 |

TU Graz Feedback


All the attendees could send their feedback (by e-mail) on this unit. They could be valuable inputs for future attendees of EMR summer schools or units (short paragraph, name, status, affiliation,country).

"The lesson was a good rollback about simulation and modeling systems and pointed out the difference between different model descriptions. To understand this difference was important for me. From prior work I know that sign convention is an important part if dealing with power flows and can lead to misunderstanding. Maybe it is possible to say a few words about this topic. For future development I hope, that I will be able to model complex systems based in EMR and develop control strategies based on the model. Especially for HEV. (...) The inversion based control gives a good overview of the needed controllers and sensor concepts. (...). Straight forward approach and at the end you get control parameters with a clear interpretation."

Stefan Laimgruber Master student, Graz University of Technology, Austria

"The lecture was well- structured and recited. The examples at the end made it easier to understand the theory. There are some pages missing of the powerpoint presentation in our handout, maybe this could be improved. The first EMR simulation was good planed, so we could apply the learned theory of the lecture. For me it was important to make first a good structured model with the equations and pictograms on paper, because after that the model should work very well without any mistakes (this is a good advice of the simulation instructors). (...) The implementation of the controller was practical to handle with the got papers. So it was very interesting to see how a HEV works with the combination of a combustion engine and an electric motor."

Stefan Riegler, Master student, Graz University of Technology, Austria

"The lecture is very well structured with a lot of examples related to practical problems. The examples along with the exercise highly contribute to the understanding of the content. The exercise provided showed how EMR can be applied to a given system in order to get a simulation. It is obvious that some extra work has to be done to rearrange the system representation but this will in the end lead to a clearer and more comprehensible structure where mistakes can be identified easier. (...). Although the EMR seems to be quite a lot of additional work in the first place it provides such a systematic approach to the model and control representation that any system becomes more clearly. I have started to try it out on a small system with a simple control issue. A simulation of the system with control can be implemented in an understandable way. The simulation exercise gave a good example of how EMR and the implementation of a controller are carried out step by step. Although the system was quite complex, the application and some of the advantages could be observed very well."

Stefan Straubinger Master student, Graz University of Technology, Austria

"It was a very good introduction to get an overview of energy management, HEV and more. The first information about EMR was very interesting. (...). I like such systematic approaches to solve problems. It helps to understand the thing more deeply. The clear visualisation helps to talk about it. (...) The clear and systemic approach was very helpful for me and gave me a deeper understanding and new ideas that I want to work on in future. I think the exercises in the afternoon are not to easy. If you have some experience in the field you can maybe get the simulations working a little faster, but anyway there is much open that can be tested or thought about. (...)"

Mario Weishapl, Master student, Graz University of Technology, Austria


"EMR is very illustrative way to represent systems, so that they can be understood even by people that are not familiar with all of the fields associated with the system. This is one of the advantages of EMR that it is not restricted by the limits of fields of research but can comprehensively be expanded to include the whole of complex systems. Nowadays this has become very important since interests have been shifting towards founding the system global energy consumption minimum rather than combining high efficiency components. The representation does require also different kind of thinking than the usual representation since it is strongly based on causality, but this also helps the user to understand the actual physical phenomena inside their own system. Building the control to the EMR is also so straight forward that it can be done by non-control engineering professionals, at least in the simple representations given in the examples. Thus there is more time to concentrate on more important subjects such as the strategy.

The course is well structured so that the every new subject is firmly based on the previously taught information. This makes the lectures easy to follow. In addition, the most important points in EMR are clearly emphasized so false interpretation cannot be made. Moreover, the simulations made after the learning the theory really helps understand the challenges in the representation and how to overcome these difficulties. Personally, I was surprised that the representation works both ways without any modifications. For example the acceleration and regenerative braking of an electric vehicle requires no changes in the representation. There are plenty of understandable examples from electric vehicles, but also more complex example from different applications which help understanding the applicability of EMR to other applications."

Jussi Tamminen, PhD Student, Lappeenranta University of Technology, Finland

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