With the exponential introduction of autonomy, especially in vehicles, comes the increased need to test controllers under edge case scenarios. AVSandbox deals with edge cases in the environment around a vehicle; but there also needs to be consideration of edge cases within the vehicle; particularly to test and train...
Press Release Leamington Spa, UKSeptember 5th, 2023 The Centre for Connected and Autonomous Vehicles (CCAV) has awarded a £2 million grant to the Sim4CAMSens project, which will be led by Claytex and a group of industry leading partners, as part of the Commercialising CAM Supply Chain Competition. The consortium,...
I was recently asked to build out a set of drag racing simulation models in Dymola, utilizing the VeSyMA suite of Modelica libraries, that could be used as a demo to show prospective drag racing customers. After all, we haven’t seen much penetration of simulation into this market, and...
Steve Welch, editor of ‘future vehicle’ spoke to Mike Dempsey, Managing Director, and Alessandro Picarelli, Engineering Director of Claytex, finding out more about the company’s recent simulation projects and their further development of AVSandbox. Since its acquisition by TECHNIA in early 2022, Claytex has received significant investment, enabling this...
Claytex will exhibit and present at the 15th International Modelica Conference, organised by The institute for Energy Efficient Buildings and Indoor Climate, RWTH Aachen University. The event runs from 9th to 11th October 2023 in cooperation with the Modelica Association. The Modelica Conference is the main event for users, library developers, tool vendors...
Suppliers of automotive companies face challenging business conditions in supporting their partners. Vehicles and technology are becoming ever more complicated and integrated, and consequently harder to develop. Uncertainty hangs over the traditional product development life cycle, as electrification technology rapidly progresses. Embracing Dymola’s abilities as a multi-physics and multi-domain...
This blog post will discuss the effectiveness of some Machine Learning (ML) models in the context of training Autonomous Vehicles (AVs) as well as how to overcome some of their drawbacks. For a long time, ML has been used to detect and extract meaningful patterns from data sets, with...
When you’re creating your models in Dymola the checking commands are some of the most valuable tools available to you. I’m going to take a look at these commands which you can use to find any issues in your models as you create them and before you try to...
Wind turbines are machines designed to harness the kinetic energy of the wind and convert it into electrical energy. They are a form of renewable energy technology, as wind is an abundant and naturally occurring resource. Wind turbines are typically installed in areas with consistent and sufficient wind speeds...
This blog post seeks to explain the licensing options available for Dymola and Modelica libraries. License length Nodelocked vs Network/shareable If your company has purchased multiple licences of Dymola and Modelica libraries at different dates during the year, these can be aligned for you so the renewals all occur...
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