Eurostars: Desarrollo, simulación y optimización de sistemas electromecánicos

Referencia RDRDE20230209008

Caduca 01/04/2023

The startup is developing simulation algorithms for large and complex electromechanical systems. The goal is to provide a simulation environment exploiting the stability and reliability of our algorithms. For this, the company has to construct physical models for semiconductor devices and saturation effects in electric motors. Their partner should be interested in testing our simulations and giving feedback on development. A partner who contributes to the physical modeling is also desirarable.

The basis of the proposed project is the so-called _ structure preserving_ simulation algorithms applied to electric machines and circuits.
These algorithms offer a considerable advantage in stability and performance compared to standard simulation methods.
The goal is to integrate these algorithms into a simulation platform for electromechanical systems and demonstrate the technology in the relevant use case.
Today, engineers are mainly concerned with the computation time of their simulations compared to the simulated physical time. A rapid development process is achieved when these two times are comparable. This is incredibly cumbersome for large systems. The numerical stability of our algorithms is the perfect cornerstone for having a fast and reliable simulation platform.
However, one crucial element still needs to be added to reach this goal since drastic reductions in computation time are only possible by adjusting the detail of the simulation. At the beginning of the development, the level of physical detail is low, offering swift and reliable progress in the design of the overall system. With the project progressing, the level of detail increases, and the corresponding models have to be adjusted.
In the end, switching between different levels of detail can only mean selecting specific physical effects according to each application.
At present, heuristic models are built to decrease the simulation time, with the drawback that it is impossible to adjust the level of detail flawlessly. Current simulation environments leave it up to the engineer to build effective models demanding colossal development time.
The team consists of theoretical physicists specialized in building physical models for electromechanical systems and developing structure-preserving simulations.
Their development will allow engineers to adjust the details of their simulation flawlessly and thus ensure rapid and reliable results.
The proposed project consists of two key elements: First, they have to model semiconductor devices to allow an adaptation of detail for electrical circuits.
On the other hand, building a physical model for magnetic saturation effects in electric motors is essential. Otherwise, reducing simulation time by relying only on empirical tables is complicated.
For the current project, there are two options for possible partners. Option one is a partner that utilizes and tests our simulation environment in daily development. The company would adjust our development according to the needs and feedback of the partner. Option two is a partner interested in contributing to the physical modeling of electromechanical systems.
Advantages and innovation
So far, the company has developed structure-preserving simulation algorithms which offer several advantages compared to standard methods since, by construction, they preserve the physical symmetries of the simulated system. Thus,
• There is no numerical dispersion and artificial effects commonly appearing in traditional simulation strategies.
• Due to symmetry conservation, the simulations have excellent energy behavior, allowing an accurate model of energy loss in electromechanical systems.
• Simulation stability permits using a reduced number of sampling points, shortening the computational time.
• Large and complex systems can be integrated into a simulation environment using the advantages of these structure-preserving algorithms.
Although these algorithms are known in the literature on theoretical physics, the innovative idea is to bring them into the electromechanical industry and use their power to simulate large electromechanical systems, offering high performance, reliability, and cost reductions.
On the other hand, to reduce the computational cost of simulations, it is necessary to have access to physical models and adapt them to different applications. These offer many advantages, like
• Avoiding the use of heuristic models, which adds simulation instabilities in standard methods.
• Conserving the underlying physical structure of the system gives more accuracy.
• Allowing a flawless integration between circuits and mechanical devices, offering a simulation environment for large electromechanical systems.
Framework program
Call title and identifier
Eurostars 3
Submission and evaluation scheme
Anticipated project budget
Coordinator required
Deadline for EoI
Deadline of the call

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