“To overcome the development environment that is becoming increasingly complex, involving diverse engineers and making integrated design difficult, such as autonomous driving, connectivity, and electrification, we must change the team culture to use models instead of documents, integrate models and data, and communicate and coordinate design activities using model data and simulation data.”

Arun Mulpur, Industry Director of MathWorks, argued for a shift to model-based design for digital engineering at the 'MATLAB Expo 2024 Korea Press Conference' held at the Grand InterContinental Seoul Parnas on the 11th.

Director Arun Mulfer said that model-based development (MBD) is the core of digital engineering and is being applied most rapidly in autonomous driving, connectivity and electrification. He said that the way of working in these three areas is changing. First, systems engineering is growing as engineering systems become more complex, and second, engineering companies are increasingly focusing on software and using AI more throughout the system development process. He revealed that there was.

Looking at the seven workflow trends, he mentioned that there is a tendency to automate everything and a change in the way complex systems are designed to digest service-centric architectures by dividing complex systems into small, independent system components, modeling them in Composer, and filling in the details in Simulink to complete the entire system.

Additionally, you should be able to use automatically generated code using MathWorks software, avoid defects, apply standard software workflows, and simulate and design in the cloud.

Lastly, the seventh is how to utilize artificial intelligence. For example, he emphasized the importance of utilizing artificial intelligence, such as training quantized data using an algorithm, importing the trained data into MATLAB, and converting the imported neural network into a Simulink model.

He then revealed that this type of model-based development is being applied in various fields such as autonomous driving, sensor development, computer vision, road network design, UAV, autonomous submarine, robot, 6G, electric vehicle, electric motor, and battery design.

Arun Mulfer said, “Model-based development is becoming increasingly complex as industries become more diverse, involving mechanical engineers, electrical engineers, and software engineers. Their terminology, tools, and knowledge are all different, making integrated design increasingly difficult.” “Model-based development is about using models at a high level to verify systems as virtual platforms, and everything can be integrated in Simulink. There are 120 different tools available, and you can do physical modeling, communications, signal processing, and more all at once. Accordingly, model-based development will spread, and MathWorks is preparing for that,” he said.