dSPACE

Komplexe Systeme erfordern intelligente Testmethoden. Der dSPACE Test & Simulation Summit bringt Expertinnen und Experten zusammen, um aktuelle Herausforderungen in Entwicklung, Test und Validierung gemeinsam zu adressieren. 📅 4. November 2026 📍 Paderborn, dSPACE Headquarters Ob Industrieautomatisierung, Defense & Aerospace, Energy, Off-Highway, Robotics oder andere Anwendungsbereiche: Erhalten Sie praxisnahe Einblicke in durchgängige Entwicklungs- und Absicherungsprozesse von Software-in-the-Loop (SIL) bis Hardware-in-the-Loop (HIL) und erfahren Sie, wie KI, Automatisierung und leistungsfähige Simulationsmodelle die Effizienz und Qualität beim Testen komplexer Systeme steigern. Highlights: ✅ KI in der Software- und Codeentwicklung ✅ Schnellere Absicherung komplexer Systeme ✅ Kontinuierliche Verbesserung durch datengetriebene Methoden Tauschen Sie sich mit dSPACE Expertinnen und Experten sowie Fachleuten aus Industrie und Forschung aus, diskutieren Sie Ihre Herausforderungen und profitieren Sie von den Erfahrungen der internationalen dSPACE Community.

Why is virtual validation a game changer for battery electric trucks? It is the key to managing complexity, safety, and innovation in electrified commercial vehicles. Volvo Trucks uses a Hardware-in-the-Loop (HIL) based approach to validate Battery Management Systems (BMS) and Hybrid Propulsion Control Units early in the process. This enables realistic testing under fault-critical conditions, long before physical batteries exist. The result: ✅ Reduced development risk ✅ Improved software maturity ✅ Faster innovation cycles What do you think is the biggest advantage of virtual validation in e-mobility? Read the full story: https://ow.ly/OtWx50ZIaG3 #BatteryElectricVehicles #VirtualValidation #HILTesting #Volvo #dSPACE

⏱️ Late surprises = delayed launches What is one of the biggest hurdles when integrating AI into embedded systems? Discovering too late that your model does not fit the available resources. The Neural Net Coder generates production-ready C code from neural networks and makes resource requirements visible early on: ✔ Predicts run-time performance and memory usage early ✔ Enables informed decisions before integration ✔ Reduces late-stage redesigns and unnecessary iterations Early insight into resource requirements supports more efficient development cycles.

🔄🌱 How to validate agricultural software faster with fewer field trials Hardware-in-the-loop (HIL) simulation makes it possible: ISOBUS equipment, including mechanics, electronics, and its environment, can be tested in realistic, repeatable cycles. Martin shows how to set target values, read data, or simulate button presses completely virtually. Tests run manually or automated via Python API, saving time and costs while ensuring reliability. 👉 Discover our solutions for agricultural applications: https://lnkd.in/grZdQsRi

🚜💻 From lab to field: dSPACE hardware-in-the-loop (HIL) simulation enables safe and efficient testing of autonomous tractor functions under realistic conditions before real-world trials. Nico shows how it works on a CLAAS Xerion. Where do you see the biggest benefits of HIL in agriculture?

🚜🌱 How do advanced tools drive autonomous farming development? Steffen shows how RTMaps, AURELION, and OSB technologies work together to enable smart agriculture. RTMaps serves as the development environment that runs a plant detection algorithm directly on the ECU. AURELION provides realistic simulated camera images used to test and validate the perception system. The OSB enables data exchange via the integrated RTMaps ISOBUS interface. Together, these technologies highlight the flexibility and efficiency of modern smart agriculture development. Curious to learn more? 👉 https://lnkd.in/grZdQsRi