Given the rapid technological advancements and the growing complexity of products across industries, integrating multiple engineering disciplines has become essential to achieve optimal outcomes through cohesive, systems-level design.

Leveraging advanced Model-Based Systems Engineering (MBSE) tools within the 3DEXPERIENCE platform, including Dymola, we perform highly integrated multidisciplinary dynamic simulations for complex products. This capability is particularly valuable in the transportation sector. Owing to the intricate nature of our projects, the creation of high-fidelity Digital Twins and the integrated management of engineering changes throughout the product lifecycle stand among the key achievements delivered by the systems engineering modules of the 3DEXPERIENCE platform.

By fully applying Systems Engineering principles based on the INCOSE V-Model across the project development process, we ensure precise requirements traceability and complete verification and validation throughout all stages of the product development lifecycle. Requirements management commences with the definition of functional architecture and logical product structure and extends through detailed design, physical testing, and component realization across multiple domains, including mechanical, thermodynamic, electrical, and electronic systems.

Through the PLM platform, we integrate dynamic system simulation with virtual product prototyping, enabling realistic evaluation of product behavior under actual operational conditions.

Capability & Project Information

The Systems Engineering Department’s scope of work is structured around three core areas: Requirements Management, Functional Architecture, and Logical Design. These are seamlessly integrated with downstream processes, including detailed design and advanced analysis through co-simulation (Co-Simulation).

The key actions and capabilities of our Systems Engineering implementation services include:

1. Execution of critical activities in key stages of the product development process based on MBSE concepts, including:

  • Design of logical and functional product architectures using MBSE methodologies.

  • Development of concurrent engineering guidelines together with SDS (System Design Specification) and PDS (Product Design Specification) documents to effectively manage the design process.

  • Integrated requirements management throughout the product development lifecycle.

  • Management of product configurations and variants, including preparation of GBOM and PBOM.

  • Engineering change management driven by the MBSE model.

  • Integrated management of FTA (Fault Tree Analysis) and DFMEA (Design Failure Mode and Effects Analysis) across the entire product development process.

  • Product design and development based on the RFLP (Requirements – Functional – Logical – Physical) model within the MBSE V-Model framework.

2. Design of logical and functional systems and execution of numerical, kinematic, and dynamic simulations, including:

  • Design and simulation of industrial and automotive mechanisms to optimize performance and accurately replicate real-world behavior.

  • Creation of high-fidelity Digital Twins tailored to specific customer requirements.

  • Design and programming of specialized computational and control libraries in the Modelica language for data reading, transformation, and control.

  • Preparation of Traceability Matrices for RFLP relationships to support requirements validation.

  • Synchronized interdisciplinary collaboration (mechanical design, electrical design, and other domains) based on MBSE principles.

  • Development of communication protocols between external physics models and 3D environments through:

  • Creation of intermediate software using C#.

  • Design of APIs and Web Services.

  • Product verification through integrated testing and simulation within the 3DEXPERIENCE platform.

  • Implementation of various levels of Hardware-in-the-Loop (HIL) simulations and testing to validate external physical systems (e.g., robots) against software calculations.

  • Execution of Software-in-the-Loop (SIL) and Model-in-the-Loop (MIL) simulations to validate data exchange between C#-developed applications, Web Services, and the 3D model.

  • Design and development of logical architectures for control systems based on Control Flow and Data Flow principles.