With the rise of the autonomous vehicle and the increasing complexity of modern vehicles, automotive systems engineering is an ever-evolving field. Model-Based Systems Engineering (MBSE) is a methodology that leverages systems modelling to design and develop automotive systems. MBSE provides the automotive industry with an opportunity to develop more efficient and effective systems. In this article, we will discuss the opportunities and challenges of automotive MBSE.
Exploring Opportunities in Automotive MBSE
The automotive industry can use MBSE to create a model of the vehicle’s architecture and components. This model can be used to analyze the system performance, identify design issues and optimize the overall design. MBSE can also help reduce development time and costs by providing an integrated design environment that eliminates the need for manual integration of components.
MBSE provides a single source of information for the entire automotive industry. This simplifies the sharing of design information and reduces the amount of time and effort required for collaboration. The use of MBSE also encourages collaboration by introducing an agile approach to development. This helps to shorten the development cycle and allows teams to focus on the most important tasks.
MBSE can also help to improve the quality of a vehicle’s design by providing a systematic approach to the development process. It can be used to verify the design and ensure that the system meets the requirements. This helps to reduce the risk of errors and ensures that the system is safe and reliable.
Challenges Faced in Automotive MBSE
The automotive industry faces several challenges when adopting MBSE. One challenge is the lack of expertise in the field of MBSE. It is often difficult to find engineers with the necessary skills and experience to design and implement an MBSE system. Another challenge is the cost and complexity of implementing MBSE. It is often expensive to purchase the necessary software and hardware, and to train staff on how to use it.
The automotive industry also faces interoperability issues when using MBSE. It is difficult to ensure that the models created in different systems can be easily shared and used in other systems. This is especially true when different types of systems are used concurrently.
Finally, MBSE can require a significant amount of time to set up and maintain. It can take months to create a comprehensive model and ensure that it reflects the current design of the system. This can be a challenge for smaller teams or those with limited resources.
MBSE provides the automotive industry with many opportunities to create more efficient and effective systems. However, it also poses several challenges, such as the lack of expertise, the cost and complexity of implementation, interoperability issues, and the significant amount of time needed to set up and maintain a model. Automotive engineers must consider these challenges before adopting MBSE and must ensure that they have the necessary resources and expertise to implement it effectively.
