The latest release of Dymola 2026x introduces powerful enhancements for Modelica developers, improving simulation workflows and expanding capabilities. Alongside this, Claytex 2025.2 brings targeted updates to its libraries for automotive, motorsport, and fluid systems. What’s New in Dymola 2026x? Support for Modelica Standard Library 4.1.0 Dymola now supports Modelica...
Archive for category: Tech Blog
DyMoTest: Faster, Cleaner, and Simpler Bulk Testing for Dymola Models
Developing Modelica models is a complex and demanding process, from initial concept to full implementation. Even minor changes can introduce regressions that ripple through dependent libraries and models, making model verification a critical yet daunting task. With libraries often containing hundreds or thousands of models, manual testing quickly becomes...
Development of Virtual RLDA Platform for Hyundai Kia Motor Company
Over the last 18 months Claytex have been working with Hyundai Kia Motor Company (HKMC) to develop a Virtual implementation of their Road Load Data Acquisition (RLDA). During this time, we had an engineer residing with us to co-develop, validate and learn how to use VeSyMA. The goal of...
Automating Post-Processing in Dymola Using Commands
After running a simulation in Dymola, engineers often need to perform several post-processing tasks, such as generating plots, analysing results, or executing custom scripts. These tasks can be automated using Commands, which are stored within the experiment setup. This blog explores how to create and use Commands in Dymola...
Exploring Global Sensitivity Analysis in Dymola
In dynamic system modeling, understanding how input parameters influence model behaviour is essential for improving accuracy, reliability, and design efficiency. Global Sensitivity Analysis (GSA) is a powerful method that quantifies the impact of each parameter on model outputs, capturing both direct effects and interactions. Built-In Sensitivity Tools in Dymola 2025x...
LiDAR Sensor Validation: How to Ensure Accurate Virtual Models for Autonomous Vehicle Simulation
Why LiDAR Sensor Validation is Critical for AV and ADAS Development When developing autonomous vehicles (AVs) or advanced driver-assistance systems (ADAS), accuracy matters. LiDAR sensors play a critical role in understanding the environment. Before a virtual LiDAR model can replace a physical sensor in simulation environments, it must undergo...
The 16th International Modelica Conference, Rotkreuz – Lucerne – Switzerland
From 8th – 10th September 2025, Claytex attended and exhibited at the 16th International Modelica Conference in Rotkreuz not far from Lucerne in Switzerland. Claytex are a regular exhibitor at Modelica conferences over the years and a keen presenter of work we have undertaken internally as well as customer...
Simulating FMUs in Python with FMPy – an introduction
Previously on the Claytex blog, we covered an introduction to the concept of using the Python language alongside Dymola/Modelica. As you might recall, one of the tasks that can be accomplished by doing so is to simulate FMUs exported from Dymola. As covered in the previous post, there’s plenty...
A Primer for Creating and Licensing MOE Files in Dymola
Dymola (Dynamic Modeling Laboratory) is a powerful modeling and simulation environment for Modelica-based system modeling. When developing libraries or distributing models, you may need to create and license MOE files to control access to your intellectual property. Creating and licensing MOE files in Dymola is quite flexible yet can...
Modelling the effect of rain on LiDAR sensors
Vehicles with automated functions require sensors to perceive the environment around them. The sensor suite used usually contains cameras, radar sensors, and LiDAR sensors. Testing automated functions only in the real-world requires a large amount of time and resources. Therefore, there is a benefit to testing automated functions in...
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