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Comparing the optimisation of gear ratios for different drive cycles

February 6, 2017

Written by: David Briant – Project Engineer When considering fuel consumption tests, comparatively little information is required to generate a reasonable understanding of the effects of changes to a vehicle’s design. In Europe, the fuel consumption of a vehicle is evaluated using the New European Drive Cycle (NEDC), with the United States the equivalent termed the read more

Understanding State Selection in Multibody Simulation

January 27, 2017

Written by: Theodor Ensbury – Project Engineer Unique to Modelica based tools, such as Dymola, state selection is a topic which affects every model produced which can manifest itself in several possible ways; a brief introduction and overview to the topic of state selection can be found here. Ever seen a multibody simulation initialise in an apparently read more

Exporting Models & Licensing

January 20, 2017

Written by: Garron Fish – Chief Engineer Introduction This article looks at the different model export methods, their limitations and the respective Dymola licensing requirements. Ways to Export a Model  Models can be exported in several different forms: Executable Whenever a model is translated, an executable file is created, called dymosim.exe. When the model is simulated read more

SMART ELECTRIC DRIVES LIBRARY

January 13, 2017

The SED library delivers pre-defined Modelica models that contain definitions of full electric drive systems – ready to be connected to a voltage supply and a mechanical load. These models enable the rapid simulation and analysis of complex electro-mechanical drive systems (e.g. dynamic simulation of a hybrid electric vehicle’s powertrain systems and components). Components at read more

Stability Analysis in Dymola – Part 1

January 9, 2017

Written by: Sas Harrison – Systems Engineer Introduction This article introduces several ideas that provide foundations for stability analysis in DYMOLA. Those ideas have several applications, including the creation of root locus diagrams, which provide information about transient behaviour (and therefore stability) and assessment of frequency-response that details how well an input is translated to read more

Reading structures from .mat files

January 3, 2017

Written by: Garron Fish – Chief Engineer This blog post shows how to assign Dymola model parameters to elements of a structure stored in a .mat file. In Modelica 3.2.2 a new function is introduced called Modelica.Utilities.Stream.readRealMatrix() which allows users to read a Matlab .mat file saved in the v4, v6 or v7 formats (see Figure read more

Stepping through dymosim.exe

November 30, 2016

Written by: Garron Fish – Chief Engineer When a Modelica model is translated in Dymola, the process involves a Modelica code of the Dymola model that translates into a C code, and then this C code compiles and links into an executable called dymosim.exe. Typically, if the model fails, then an error message is created read more

Exporting results to a .mat file to use them as inputs in another model

November 23, 2016

Written by: Maura Gallarotti – Project Engineer In this blog post, I will show how to save a result in a .mat file and how to use the .mat file in another model. As an example, I am going to use the model  Modelica.Fluid.Examples.DrumBoiler.DrumBoiler. Select the model, go to the simulation tab and simulate it. Figure read more

Dymola Basics: 8. Dymola Model Inheritance

November 11, 2016

Written by: David Briant – Project Engineer This is the eighth in the Dymola Basics Series, following on from a post about animation. This post explains the concept of inheritance and the effective use of it within Dymola. Dymola models can be based on layers where models inherit properties from more basic models. Dymola uses read more

Inverting models in Dymola

November 4, 2016

Written by: Alessandro Picarelli – Chief Engineer Modelica’s acausal nature makes model inversion within Dymola a fairly straightforward task. An example is presented in which the objective is to achieve a desired speed profile of inertia_2 whilst calculating the torque necessary to do so. For this example, a model of 2 inertias connected via a read more

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