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4th level headings in Simcenter_Amesim_2410.md (#327)
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BrunoLione authored Nov 19, 2024
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![](amesim_banner_2410.png)

## Accelerated simulations
#### Accelerated simulations
While the original aim was to speed up the simulation of Pseudo-Two-Dimensional (P2D) battery models
— achieved with a speedup factor of about 9 compared to release 2404 —, two *generic* solver enhancements
have been implemented which have tangible positive consequences on all kinds of “large”
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“Large” models represent a strong trend for system simulation across all industries, for example to serve electrification. They typically involve fine-grained spatial discretizations, numerous inputs/outputs, state variables, internal variables and/or parameters.

## Improved code generation for Modelica and imported FMUs
#### Improved code generation for Modelica and imported FMUs
Aside from accelerated simulations, the code generation performed when creating a Modelica
model, importing an FMU, a pre-trained neural network ([ONNX](https://onnx.ai/ ) file) or a response surface,
has been upgraded to “V2”, featuring lightweight and more CPU-efficient code.
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![](amesim_modelica_2410.png)

## Fast-running exported co-simulation FMUs
#### Fast-running exported co-simulation FMUs
Obviously, the above-mentioned solver improvements for native or hybridized models are automatically reflected — *embedded* —  in exported FMUs for co-simulation, for the deployment of performant *plant models*. Combined with the optimized discontinuity handling introduced in release 2304, the speedup is further maximized in this context since at each co-simulation *rendez-vous* point, the solver's current pace is kept unchanged whenever possible.
This strategy is in place independently of the chosen import tool. A typical use case is when the **Simcenter Amesim** FMU is connected to a controller model whose outputs may have changed little or not at all during a co-simulation time step.

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