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Industry Tag: Automotive

University of Ljubljana Uses MATLAB to Optimize Production System Performance

LASIM Laboratory used MATLAB and machine learning to predict and optimize hydraulic press behavior, achieving over 94% error reduction and advancing smart control in manufacturing.
Beyond the Hype: How OEMs Actually Deliver a Software-Defined Vehicle

This blog explains how Software-Defined Vehicles operate, their main components, and the real-world challenges OEMs face in development. It highlights proven methods like model-based design and DevOps for success.
Software-Defined Vehicles: The New Era of the Automotive Industry

This blog explores Software-Defined Vehicles (SDVs), detailing how they operate, their key components like centralized ECUs and SOA, the benefits they offer, and the challenges faced in their development.
How COMSOL Multiphysics Leads R&D Breakthroughs in CEE (3 User Stories)

COMSOL Multiphysics leads in modeling and simulation in CEE. Its Application Builder simplifies complex simulations, surrogate models boost efficiency, and SciEngineer’s expert support ensures success, making it ideal for industries like audio, electronics, and automotive, as it drives innovation and accelerates project timelines.
COMSOL Multiphysics in 15 Minutes

Join the electronics industry experts who have benefited from COMSOL Multiphysics. From improving sound quality to reducing battery design time by 70%. In this 15 minute read, you will learn how COMSOL Multiphysics can elevate your team’s efficiency and unlock new possibilities in product design.
The 7 Ways COMSOL Multiphysics Rules Over R&D in Central & Eastern Europe

Discover how COMSOL Multiphysicshelps engineers tackle complex challenges, accelerate R&D, and drive technological leadership in sectors evolving at breakneck speed in CEE.
Multiphysics Modeling of Batteries, From Cell to Pack Level

From electric vehicles to renewable energy storage, the need for reliable, high-performance batteries is critical. Our latest whitepaper delves into the principles of battery modeling, offering a comprehensive guide to optimizing energy density, thermal management, and safety. Discover how multiphysics simulations can enhance battery design and performance, empowering industries like automotive, aerospace, and renewable energy to tackle modern challenges.
11 Best Practices for Developing ISO 26262 Applications with Simulink

This white paper offers guidance on modeling practices to help segment algorithms and reduce verification and deployment efforts when following ISO 26262 and using Model-Based Design.
Enhancing AI Integration with COMSOL Multiphysics: A Gateway to Smarter Industrial Optimization

This blog discusses how machine learning accelerates tasks like modeling and optimization, showcasing real-world applications such as battery testing. Learn how these innovative updates are transforming workflows, increasing accuracy, and driving efficiencies in industrial optimization, paving the way for future advancements in engineering practices.
MATLAB and Simulink capabilities for AI with Model-Based Design

Explore how combining AI with Model-Based Design (MBD) in MATLAB & Simulink enhances system accuracy, optimizes control strategies, and accelerates innovation in engineering.