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Model Based System TestingeCVT-in-the-loop testing
October 18th, 2017
Roland Pastorino
Realize innovation.Unestricted © Siemens AG 2017
Unrestricted © Siemens AG 2017
2017.10.18Page 2 Siemens PLM Software
Model Based System TestingTesting frontloading using simulation models
SUT
Host
PC
Unrestricted © Siemens AG 2017
2017.10.18Page 3 Siemens PLM Software
Model Based System Testing The Marriage of Test and Simulation
Model Based System Testing
• Model validation
• Model correlation & updating
• System-In-The-Loop testing
• Hybrid testing
• Human-in-The-Loop
• Virtual sensing
• Hardware-in-The-Loop
Simulation
• Multi-physical simulation
• Multibody System Dynamics
• Finite Element modelling
Test
• Functional testing
• Operational testing
• Life cycle testing
• Environmental testing
• Laboratory testing
• Component / Subsystem /
System testing
Unrestricted © Siemens AG 2017
2017.10.18Page 4 Siemens PLM Software
Model Based System Testing
Model Based
System Testing
model validation
& updatingparameter
identification
Testing for
Simulation
Testing with
Simulation
Simulation for
Testing
analysis of simulation
data w/ test methods
load
identification
hardware-in-
the-loopvirtual testing
optimal
sensor/excitation
human-in-the-
loop
virtual
sensing
measured data
augmentation
hybrid
testing
system-in-
the-loop
Overview tree
Unrestricted © Siemens AG 2017
2017.10.18Page 5 Siemens PLM Software
Model Based System TestingCreating a unified testing framework from virtual testing to field testing
INT
ER
FA
CE
Model
Based
System
Testing INT
ER
FA
CE
Virtual
testing
Field
testing
Virtual
testing
Conventional
bench
testing
Conventional
bench
testing
Enable attribute-specific evalution
throughout the development
cycle using simulations.
• same metrics and post-
processing tools from 100%
simulated to 100% real
• model-in-the-loop enables
system-level testing for real
components/subsystems
• common Test.Lab / SCADAS
toolset and same user
Unrestricted © Siemens AG 2017
2017.10.18Page 6 Siemens PLM Software
System-under-test
Driving side
Belt
Driven side
Control motor
Driving side
Belt
Driven side
Control motor
Fixed sheaves
Mobile sheaves
Clutch
Comp. spring
Electronically-Controlled Continuously Variable Transmission
Unrestricted © Siemens AG 2017
2017.10.18Page 7 Siemens PLM Software
Design criteria for CVTs
Market drivers in the automotive sector
• low energy consumption (i.e. low fuel consumption)
• low emissions
• low noise (feeling of superior quality)
• excellent engine performance
• excellent user experience
Transmission development goals
• lightweight and compactness
• enable automatic shifting to improve fuel consumption, emissions, noise without
compromising drivability
• enable engine braking in manual mode. Only available for electronically-controlled
CVTs.
• automatic shift down & shift limitation functions
• simple operation in automatic and manual mode
Unrestricted © Siemens AG 2017
2017.10.18Page 8 Siemens PLM Software
CVT component technology
belt• has to be well-suited for ratio control
• rubber belt with high friction coefficient = lightweight + compact
• optimization of cog shape and material properties to minimize slip ratio
pulley• material: can be made of die cast aluminum alloy
• wear of pulley surface and belt is compensated in the control of the shifting motor
gears• quietness
• wear reduction & weight reduction = plastic gears for non-lubricated parts =
bearings • less friction = adjustments to reduce friction due to axial thrust of helical gear
• optimized design according to their loads to decrease friction
transmission oil• agitation losses reduction
• = optimization of the shape of the ribs in the transmission case
• = reduction of losses due to gear rotation
cooling• increase of belt life = air cooling
Technological solutions to reach the design targets
Unrestricted © Siemens AG 2017
2017.10.18Page 9 Siemens PLM Software
Objective
A
INT
ER
FA
CE
INT
ER
FA
CE
B
B
INT
ER
FA
CE
Enabling component Testing in the lab in near real-life conditions by means of real-time simulations
C
D
C D
System-in-the-loop Testing
A
Unrestricted © Siemens AG 2017
2017.10.18Page 10 Siemens PLM Software
Real-time Model Based System Testing
SUT
Host
PC
Model Based
System Testing
model validation
& updating
parameter
identification
Testing for
Simulation
Testing with
Simulation
Simulation for
Testing
analysis of simulation
data w/ test methods
load
identification
hardware-in-
the-loopvirtual testing
optimal
sensor/excitation
human-in-the-
loop
virtual
sensingmeasured data
augmentation
hybrid
testing
system-in-
the-loop
Unrestricted © Siemens AG 2017
2017.10.18Page 11 Siemens PLM Software
eCVT-in-the-loop test bench
Unrestricted © Siemens AG 2017
2017.10.18Page 12 Siemens PLM Software
eCVT-in-the-loop virtual test bench
• Sizing of electric motors
• Dynamic behavior validation
Unrestricted © Siemens AG 2017
2017.10.18Page 13 Siemens PLM Software
Test bench conceptual scheme
SUT
Host PC
CAN/ECU
Simu
Physical
Unrestricted © Siemens AG 2017
2017.10.18Page 14 Siemens PLM Software
Real-time Amesim motorcycle model
Engine
CVT
Motorcycle
Near real-life excitation of system-under-test
Unrestricted © Siemens AG 2017
2017.10.18Page 15 Siemens PLM Software
Real-time Amesim engine model
Engine model simulation results
Crankshaft angle (deg)
Torque (Nm)
Engine dynamics
• Based on Aprilia Mana 850 GT ABS
• V-Twin engine
• Max. mean Torque = 70 Nm @ 4500 rpm
• Max. mean Power = 56 kW @ 8000 rpm
• Rpm range = 1000 – 8500 rpm
Paired cranks
Throttle control
Unrestricted © Siemens AG 2017
2017.10.18Page 16 Siemens PLM Software
Real-time Amesim motorcycle model
Road surface as an input
• Based on Aprilia Mana 850 GT ABS
• Motorcycle geometry
• Motorcycle weight
• Tire & wheel characteristics
Vehicle dynamics
Unrestricted © Siemens AG 2017
2017.10.18Page 17 Siemens PLM Software
Virtual sensingModel based indirect measurements
SUT
Host PC
CAN/ECU
Simu
Physical
Estimates
Model Based
System Testing
model validation
& updating
parameter
identification
Testing for
Simulation
Testing with
Simulation
Simulation for
Testing
analysis of simulation
data w/ test methods
load
identification
hardware-in-
the-loopvirtual testing
optimal
sensor/excitation
human-in-the-
loop
virtual
sensingmeasured data
augmentation
hybrid
testing
system-in-
the-loop
Unrestricted © Siemens AG 2017
2017.10.18Page 18 Siemens PLM Software
Belt model for virtual sensing
Unrestricted © Siemens AG 2017
2017.10.18Page 19 Siemens PLM Software
Belt critical state estimation
Belt path Belt tension (longitudinal)
Wedge-in
Wedge-out
Simulated
Theoretica
l
Wedge-in
Wedge-out
Simulated
Theoretica
l
Roland PastorinoProduct Manager Model Based System Testing
Test Solutions
Siemens Industry Sector
Siemens Industry Software NV
DF PL STS TEST PRM
Interleuvenlaan 68
B-3001 Leuven (Belgium)
Office: +32 16 38 44 04
www.siemens.com/plm
Realize innovation.Restricted © Siemens AG 2017