Modelon AB, a premier provider of system simulation software solutions, including state-of-the-art model libraries that accelerate development time and easy integration, is pleased to announce that Christer Ljungberg will join the Modelon management team as chairman of the board.
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Both S-functions and FMI are standards for exchanging models, but how do they stack up against each other? Our experts weigh the benefits and disadvantages of FMI and S-functions in this new blog post.
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Modelon is proud to announce that Dr. Hubertus Tummescheit will […]
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Learn how to read XML data into Modelica models using Data Access, an easy-to-use capability that comes with all Modelon Library Suite products.
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Modelon is pleased to announce new Modelon-powered capabilities in ANSYS® Twin Builder™, part of the recently released ANSYS 19.1 software.
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Modelon is proud to be a partner in the Turbo electRic Aircraft Design Environment (TRADE) project, funded by the Clean Sky 2 Joint Undertaking under the European Union’s Horizon 2020 research and innovation program.
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Developing models and libraries for both a single tool as well as multiple tools and even cross-testing (compilation and simulation performed on different tools) is an intricate and complicated task.
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Vehicle manufacturers have long been working to design and develop vehicles that tout superior fuel economy but are now beginning to shift their perspective to advancing electric vehicles to obtain an increase in overall vehicle energy efficiency.
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On April 12th -13th, Modelon participated in the largest automotive event in Northern Europe, the Vehicle Electronics and Connected Services conference. Held in Gothenburg, Sweden, over 900 automotive experts from multiple OEMs were in attendance to discuss this year’s theme “Autonomous, Electrified and Connected”.
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Modelon sees continued success of multi-platform strategy with newest integration partner, ESI ITI. Modelon’s robust and comprehensive set of Modelica-based libraries will be integrated into SimulationX, ESI ITI’s software platform for simulating multiphysics systems.
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