GT-POWER Real-Time – Diesel engine model for Hardware in ... · Semcon Gothenburg was involved to...
Transcript of GT-POWER Real-Time – Diesel engine model for Hardware in ... · Semcon Gothenburg was involved to...
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GT-POWER Real-Time – Diesel engine model for
Hardware in the Loop testing
GT-SUITE Conference 2009
David Willermark, SEMCON
Niklas Smith, Volvo Car Corporation
www.volvocars.com
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Contents
�Project background
�Introduction to Mean Value/RT modeling
�Model details and results
�Introduction to Hardware in the Loop (HiL)
�HiL implementation
�Summary
�Project background
�Introduction to Mean Value/RT modeling
�Model details and results
�Introduction to Hardware in the Loop (HiL)
�HiL implementation
�Summary
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Project background
�Volvo Cars initiated a project to evaluate a GT-POWER Real-Time
engine model for Hardware in the Loop application
�Semcon Gothenburg was involved to develop the engine model
�The new Volvo 5-cyl, two stage turbo, Euro5 diesel engine was
chosen for this study
�Volvo Cars initiated a project to evaluate a GT-POWER Real-Time
engine model for Hardware in the Loop application
�Semcon Gothenburg was involved to develop the engine model
�The new Volvo 5-cyl, two stage turbo, Euro5 diesel engine was
chosen for this study
www.volvocars.com
![Page 4: GT-POWER Real-Time – Diesel engine model for Hardware in ... · Semcon Gothenburg was involved to develop the engine model The new Volvo 5-cyl, two stage turbo, Euro5 diesel engine](https://reader033.fdocuments.net/reader033/viewer/2022060601/6055b5d8afd0d526e26ef5c3/html5/thumbnails/4.jpg)
�The main purpose of a Mean Value model is to increase simulation
speed
�Derived from a detailed GT-POWER model
�Provides cycle averaged data
�Semi predictive
�Neural networks - trained by data either from the detailed model
or engine test
�The RT model is created from the MeanValue model and should
give identical results
�The main purpose of a Mean Value model is to increase simulation
speed
�Derived from a detailed GT-POWER model
�Provides cycle averaged data
�Semi predictive
�Neural networks - trained by data either from the detailed model
or engine test
�The RT model is created from the MeanValue model and should
give identical results
Mean Value/RT modelling – general description
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Model conversion
Detailed model Mean value model
Inlet manifold
Cylinders
Exhaust manifold
�Flow components are lumped together to larger
volumes
�The cylinders are exchanged with a MeanValue
cylinder which is controlled by neural networks
�Flow components are lumped together to larger
volumes
�The cylinders are exchanged with a MeanValue
cylinder which is controlled by neural networks
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MeanValue model details
�Neural networks - trained with data from the detailed model
- Volumetric efficiency
- IMEP
- Exhaust temperature
- FMEP
- Heat exchanger temperatures
�Detailed model DOE - number of points chosen according to the
guidelines from Gamma
� Turbine efficiency adjustments necessary
�Neural networks - trained with data from the detailed model
- Volumetric efficiency
- IMEP
- Exhaust temperature
- FMEP
- Heat exchanger temperatures
�Detailed model DOE - number of points chosen according to the
guidelines from Gamma
� Turbine efficiency adjustments necessary
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Model results - Steady stateDeviation MeanValue vs. detailed model in %
Inlet manifold pressure Exhaust manifold pressure
Most points are within 2% - acceptable agreement
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Model results - Steady stateDeviation MeanValue vs. detailed model in %
Air massflow Exhaust manifold temperature
Most points are within 2% - acceptable agreement
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Transient results, NEDC
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Introduction to HiL
�Engine control systems are getting more and more complex
and a larger number of variants is required
- Need for early development of engine control software
and hardware
�Hardware in the Loop (HiL) simulations
-Testing of control system related hardware, for example
the ECU, together with simulation models of its
surrounding systems (engine, actuators, sensors, vehicle
etc.)
- Development and testing of system components before
prototypes of the surroundings exist
�Engine control systems are getting more and more complex
and a larger number of variants is required
- Need for early development of engine control software
and hardware
�Hardware in the Loop (HiL) simulations
-Testing of control system related hardware, for example
the ECU, together with simulation models of its
surrounding systems (engine, actuators, sensors, vehicle
etc.)
- Development and testing of system components before
prototypes of the surroundings exist
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HiL system overview
GT-RT model�Runs on separate board
HiL rig
www.dspace.com
Simulink model�Transmission
�Controls
ECU
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HiL – implementation
�The HiL tests were run on a dSpace rig with a DS4505 board for the
RT model
�Smooth and troublefree installation of the board
�No application related operating problems
�Most effort was spent on arranging the interface between engine
model and vehicle model
�Testrun with real ECU and vehicle model was performed with
satisfying results
�The HiL tests were run on a dSpace rig with a DS4505 board for the
RT model
�Smooth and troublefree installation of the board
�No application related operating problems
�Most effort was spent on arranging the interface between engine
model and vehicle model
�Testrun with real ECU and vehicle model was performed with
satisfying results
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Summary and conclusions
�The MeanValue/RT model results have acceptable agreement with
the detailed model in both steady state and in transient operation
�GT-power RealTime is a simple method to create good working
engine models for HiL applications
�Considering the limited work effort, the overall results are
satisfying
�The MeanValue/RT model results have acceptable agreement with
the detailed model in both steady state and in transient operation
�GT-power RealTime is a simple method to create good working
engine models for HiL applications
�Considering the limited work effort, the overall results are
satisfying
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Acknowledgements
�Iakovos Papadimitriou and Matt Warner at Gamma Technologies
�Sverker Hansson, Fredrik Ragnarsson, Jan Styffe and Peter Norin at
Volvo Car Corporation
�Tino Schulze at dSpace
�Iakovos Papadimitriou and Matt Warner at Gamma Technologies
�Sverker Hansson, Fredrik Ragnarsson, Jan Styffe and Peter Norin at
Volvo Car Corporation
�Tino Schulze at dSpace
Contact: [email protected]