This series of technical webinars provides you with an introduction to Dymola and Modelica (the modelling language used in Dymola) showing how their power can drive the efficient modelling, simulation and validation of multi-domain dynamic systems, how to build models in Dymola, how to speed the development of complex, multi-domain systems and much more.
Webinars
Introduction to Modelica and Dymola
Rapidly model, simulate and validate multi-domain systems.
Learn how the power of Modelica can drive the efficient modelling, simulation and validation of multi-domain dynamic systems.
• Rapidly solve complex multi-disciplinary systems modelling and analysis problems.
• Combine mechanical, electrical, electronic, hydraulic, thermal, control, electric power or process components in a single system model.
• Integrate with other modelling and simulation tools through the Functional Mockup Interface (FMI).
• Leverage a comprehensive set of domain specific libraries.
• Industry proven solution.
Model-based Systems Engineering (MBSE) with Modelica and Dymola
Optimise systems development – from conceptual studies through to detailed HIL validation.
Model-based system engineering is essential to speed the development of complex, multi-domain systems. Learn how Dymola can be used to enable you to:
• Perform system concept assessments and architecture studies
• Apply first principles to systems design and design optimisation
• Quickly determine system boundary conditions
• Perform model reduction, system calibration and validate performance through Hardware-in-the-Loop (HIL) simulation
• Integrate Dymola models with models from other tools through the open Functional Mock-up Interface (FMI)
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Building Models in Dymola – A Hybrid Vehicle Example
Learn how to model and validate complex multi-physical systems.
Watch this webinar to discover how the power of Modelica and Dymola can be used to quickly model, configure, simulate and validate the many different systems in a hybrid electric vehicle. Learn how to:
• Start from simple systems models – that can be elaborated, refined and enriched
• Rapidly solve complex multi-disciplinary systems modelling and analysis problems
• Use model configuration management to quickly understand the impact of systems changes
• Evaluate the impact of different control system strategies.
WATCH NOW Technical webinars