Project

FRM Modelling

FRM MODELLING

Introduction:

FRMs execute much more rapidly than the typical detailed GT-POWER engine model, and are ideal for integrating with other vehicle systems where an accurate and predictive engine plant model is desired and where computational speed is critical. FRMs adapt to changing conditions (e.g. valve timing, spark/injection timing, turbo lag, external temperature, altitude, cooling system conditions, etc.) without the need to apply non-physical correction factors.
Whether studying changes to ambient conditions, or simulating events that are heavily transient in nature, FRMs will maintain the predictive capabilities of a detailed engine model while allowing for the fast computational speeds that are expected when performing drive cycle analysis and other transient-focused simulations.
In GT-Power we can convert an detailed engine model into FRM model using FRM convertor or we can create the FRM model based on our specifications using FRM builder.

Explore Tutorial - 9:

Detailed GT-Power Model Template:

Case Setup:

Simulation Time:

As we can see the CPU Time is about 2min 40sec to run the 5 cases in the detailed GT-Power Model

FRM Model Template:

From the above detailed model template its simplified to Fast-Running Model but with the same capabilities.
We can see that in the FRM model the intake & exhaust are converted into single flow split and having 5 boundaries connecting to the ports of the cylinder. By this we can reduce the simulation time.

Case Setup:

By comparing with timing of detailed model FRM has only took 15sec to complete 5cases and with accurately same results.

Build FRM Model for following configuration using FRM builder approach:

FRM Model Template:

Segments of FRM Model:

Intake & Exhaust FRM:

EGR - FRM Model:

Turbo FRM Model:

Cylinder & Exhaust Manifold RM Model:

Case Setup:

Simulation Time:

In this FRM model it took about 4min 30sec to run the 25cases i.e. approximately it took 10sec to run each case.

So by using the FRM model we can reduce the simulation time. It achieve fast run time by increasing the simulation step size & by reducing the calculations.

Applications that are ideal for FRMs are:

ECU Modeling (including HiL) – where a fast-running and transient-capable engine model is essential for optimizing ECU strategy
Engine + Drivetrain/Vehicle – where accurate torque pulsations are key for optimizing drivetrain design and strategy
Vehicle Thermal Management modeling, where the engine provides the heat to the cooling system, and the cooling system behavior feeds back into the engine performance predictions (great for simulating off-ambient conditions)

Ship work like this
in your own course.