Innovation and collaborative, synchronized program management for new programs
Automotive OEMs and suppliers are being asked to frontload their design processes, and to combine controls and mechanical engineering continuously along the development cycle. Closed-loop design improves vehicle architecture and allows for earlier detection of integration problems, before initial prototype testing. Our solutions enable you to develop successful mechatronics systems that optimize mechanics, electronics and software simultaneously as an integrated system.
Explore the key areas of this solution.
Increase engineering process efficiency by identifying improvement areas through an MBSE audit with our experts and rolling out a data sharing platform facilitating integration of all MBSE process artifacts.
Learn how the performance of complex systems like hybrid powertrains or autonomous driving functions can benefit from advanced control methodologies like model predictive control, virtual sensing and machine learning.
Drive architecture definition, development and testing of E/E networks and embedded software through an integrated toolchain, while also facilitating distributed software development teams.
Leverage our engineering and technical knowledge to optimize requirements definition, control design and code generation.
Replace expensive, time-consuming physical tests with virtual physical models describing component, subsystem or full vehicle behavior.
Frontload design, validation, verification and (virtual) calibration of control, embedded software or ECUs in unit or closed loop integration test setups leveraging Mil, Sil, Hil and driver in the loop technology.
This webinar will help you better understand how combining controls and mechanical engineering continuously along the development cycle will support the development of smarter vehicles.
Discover how Renault, Mazda or Denso have successfully deployed solutions for designing high-quality software and E/E networks in the least possible time.
Controls and software engineering deals with designing and implementing control systems to achieve a desired overall system behavior. It is the backbone of “smart” mechatronic products.
In its basic form, a control system lets you measure a performance factor using sensors. Based on this measurement data, you can adjust the behavior of the product to regulate performance toward a desired objective.
This white paper describes how to align mechanical design with electronic control systems and software to meet a variety of performance targets with the help of our solution experts.
Landry Saussol and Mathieu Dutre, business developer and application expert at Siemens PLM Software, explain how model-based systems engineering (MBSE) can help streamline your controls development process, and how you can optimize mechanics, electronics and software simultaneously as an integrated system.
Eric Landel, expert leader for numerical modeling and simulation at Renault explains how to reduce time needed for model identification by 80 percent with the help of our solutions for 1D system simulation:
“The Simcenter system simulation solutions are extremely important tools for us. We can analyze different physical behavior and link it together with different physical system models and controls models."
Discover how the use of domain-specific language (DSL) for extended C programming language can be used to create a more systematic workflow for embedded software development, as well as the steps of the workflow. Using DSLs enables you to create extensions to master complexity and leads to software that is more testable, easier to integrate and can be evolved according to the needs of your users.