- Component Orientated Physical Modelling
- Functional Mock-up Interface
- Real-time simulation
- Modelica Libraries
- Battery Library
- Brushless DC Drives Library
- Cooling Library
- EDrives Library
- Electrified Powertrains Library
- FlexBody Library
- Flight Dynamics Library
- Fluid Power Library
- Human Comfort Library
- HVAC Library
- Modelica Standard Library
- Thermal Systems Library & TIL Suite
- Vehicle Interfaces
- VeSyMA – Driver-in-the-Loop
- VeSyMA – Engines
- VeSyMA – Motorsports
- VeSyMA – Powertrain
- VeSyMA – Suspensions
- VeSyMA – Terrain Server
- Wind Power Library
- Modelica Modelling Language
In 2014, the Formula 1 technical regulations changed and they introduced a small capacity V6 turbocharged engine with energy recovery systems (ERS). The ERS consists of two electric motor-generators: one is attached to the turbocharger shaft; and the second is attached to the crankshaft. The power rating and energy...
Saab delivers world-leading products, services and solutions for military defence and civil security worldwide. Its Gripen fighter is the first of a new generation, multi-role fighter aircraft that is the most complex and advanced plane Saab has ever built. The fighter is equipped with the latest technology, enabling it...
WMG, formerly Warwick Manufacturing Group at the University of Warwick, is using Dymola modelling technology to help develop the next generation of low carbon vehicles. The programme, part of the £29 million West Midlands-based Low Carbon Vehicle Technology Project (LCVTP), is an advanced research project which will ensure Britain’s...
McLaren Racing, the operating arm of the Vodafone McLaren Mercedes Formula 1 team, and Dassault Systèmes (Euronext Paris: #13065, DSY.PA), a world leader in 3D and Product Lifecycle Management (PLM) solutions, are pleased to announce a new partnership to further enhance racing car development efficiency. The agreement sees McLaren...
The complexity of automotive powertrains is increasing. As a result it’s becoming increasingly difficult for engineers to determine the optimum specification for the system. The proliferation of control systems also adds to the complexity of the task and increasingly simulation is being used to assist in the development of...
As stated in Part 1 of the series of blog posts on output data organization, it is helpful to create collections of variables at the experiment level of a simulation which serve as output data repositories. Part 2 of this series on output data organization will outline one way...
The Modelica Association released the Modelica Language Specification version 3.4 on 15 May 2017. This blog entry summarises the major changes to the language specification with the aim of helping users to be aware of the changes. These changes have been supported in Dymola since Dymola 2018. Main Changes The...
Dymola 2019 is now out and there are many new features that have been added to this new release. More information on these can be found in the official Dymola 2019 Release Notes. DAE mode for more efficient simulation of large models Improved initial guesses for equations in the...
This blog post is a continuation from a previous post on the Modelica Language. This blog post goes into a little more detail regarding variable definition and syntax in equations and algorithms. The Class Restriction of a class can restrict the ability to use certain elements and methods, also described...
This blog post describes a procedure to debug a crank-angle resolved engine model (CAREM) in Dymola. It helps narrow down to the cause of the problem in case the engine runs but does not produce the expected results. A CAREM is a multi-domain (mechanics, fluids, thermal, electrical) model so...