When you model an entire vehicle, you also have to take thermal aspects, such as thermal management and cooling, into account. We especially target alternative vehicle concepts, like hybrid vehicles, pure electric vehicles, etc. At our business unit at AIT, the unit for Electric Drive Technologies (EDT), the focus of our work is on automotive applications. The reason why the SmartCooling library was developed came from praxis. What was your motivation for developing this library? In contrast to scaling, each model is then considered individually. Simplified models help to save computing time, for example by using scalability (being able to transform small structures to large structures by using scaling factors), whereas detailed models allow you to more deeply investigate system behavior and phenomena. Being able to choose a level of abstraction that fits your purpose, I think, is a great advantage. These usually contain additional parameters and boundary conditions. This means that you can choose to use simplified models or more detailed models where the physical description is more extensive. The impact of saving energy following this approach was the subject of the scientific paper “ Optimization of a Cooling Circuit with a Parameterized Water Pump Model” (5th International Modelica Conference, Vienna, Austria).Īlso, the SmartCooling library lets you choose between different levels of abstraction in its applications. This results in better cooling of the ICE and an increase in efficiency, since the electric water pump can be operated in its optimum operating area. With an electrically operated water pump, it is possible to control the speed of the water pump independently from the speed of the ICE. This is because a mechanically operated water pump (mechanically powered by the ICE) is fixed to the speeds of the ICE, and is not working in its optimal operation area. By using modeling and simulation, it can be shown that energy can be saved when substituting the water pump of an internal combustion engine (ICE) by an electrically operated water pump. With SmartCooling, it becomes a lot faster and a lot more efficient to design, simulate, and dimension cooling concepts for, for example, automotive applications.Īn example of a typical automotive application is to use SmartCooling to investigate new cooling concepts in hybrid electric vehicles (HEV) and their impact on energy consumption. The models of the SmartCooling library can be parametrized by entering this data in input fields. Usually, data for SmartCooling models can be taken directly from ready-to-use specification sheets-for example, performance, temperature ranges, operating conditions, speed, etc.-or it is gained from measurements of a real cooling system. Of course, the physical data that you put into your models is also very important. But like in real life, selecting which components to use is crucial, and you have to think about how they interact with each other, and what their physical properties are. It contains a variety of components, such as cooling fans, heat exchangers, and valves, that can be used to create cooling circuits of basically any degree of complexity. Like in a real workshop-but in a virtual environment-the library offers all the components you need to build your own cooling applications for testing, studying, or performing comprehensive experiments. The SmartCooling library is developed for the simulation of cooling circuits with mechanically and electrically operated auxiliaries. Thomas, could you please explain what SmartCooling is and what it can be used for? When I was asked to present this library on our blog, my first thought was, “Who better to demonstrate the ideas of SmartCooling than the people who actually developed it?” So I asked Thomas Bäuml, one of the creators of SmartCooling, to help answer some of my questions regarding the principles behind the library and its applications. One of our commercial newcomers is SmartCooling, a Modelica library developed by the Austrian Institute of Technology (AIT) that is used for modeling and simulating cooling circuits. The SystemModeler Library Store, launched with the release of Wolfram SystemModeler 4, is continually growing with free and purchasable libraries developed by both Wolfram and third parties. Explore the contents of this article with a free Wolfram SystemModeler trial.
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