System simulation

System simulation can be used for any application that involves energy transfers between physical domains, including mechanics, hydraulics, pneumatics, electronics and thermal. This can be extended with control algorithms in the loop, defined as model (MiL), as software code (SiL) and as physical hardware controller (HiL). In practice, system simulation is often used in automotive, aerospace, marine, heavy equipment, energy and utility and industrial machinery applications, for example, when new hybrid or electrical powertrains or propulsion systems are developed.

System simulation adds value to any phase in the product lifecycle, not only in product development but also in the operational phase of the product. In the early design stages, system simulation helps to make the right choices regarding target setting, early concepts, and architecture. In the more detailed engineering phases, system simulation helps to size, configure and optimize system performance. In the operational phase, system simulation models can act as real-time virtual representations of the physical product, unlocking numerous applications, including operator training, virtual sensing, system monitoring and optimization.

System simulation is a simulation approach that is scalable in complexity. In early design stages, there's often limited information available, but still, system simulation delivers valuable insights that help make the right decisions on system concepts and architectures. Further in the development cycle, when more parameters and information become known, the accuracy and level of detail in system simulation increases up to levels where a system simulation model can be used to calibrate and validate control algorithms or to operate in real-time operations and extend its use also to the operational part of the systems lifecycle.

As with any engineering tool system, simulation has a learning curve, so training is highly recommended. Simcenter system simulation tools are considered very user-friendly, with extensive libraries of validated components, a user-friendly graphical user interface (GUI), built-in apps for ease of use and a large help section including documentation and demo models.

The required hardware specifications for system simulation are relatively limited compared to other computer-aided engineering (CAE) applications where 3D geometries are needed. For example, Simcenter Amesim version 2310 runs on any modern 64-bit system, requiring a minimum of 4 GB RAM and 25 GB disk space. For improved performance and parallel processing systems with multiple cores are recommended.

A system simulation model can be seen as a digital twin of a multiphysics system and can be connected to control logic. This makes it an excellent base for further developments towards an xDT. To qualify for an xDT, the system simulation model should be able to run in (near) real-time and be executed on any certified device without the need for the simulation software itself.