e-Machine dynamic behavior and its contribution to ...
Transcript of e-Machine dynamic behavior and its contribution to ...
Live-I Public Event
25/01/2021
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e-Machine dynamic behavior and its contribution
to Powertrain vibroacoustics
Dr. Jean-Baptiste Dupont and Ing. Martin Jeannerot
Introduction
Is that true ?
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Is that true ? Are e-machines that quiet ?
Let’s hear some noises of electric motors
Introduction
Full powertrain
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It appears that emachine can have a NVH issue (are you deaf ?)
Complex physical phenomena that lead to the dynamic behavior of eMachine
and the associated sound radiation
eMachines are often associated to a gearbox (for example in automotive
powertrain)
Consequences of this association ?
Content
Introduction
Noise generation process
Simulation methodology and validation
Optimization examples
Full powertrain example
Conclusion
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Content
Introduction
Noise generation process
Simulation methodology and validation
Optimization examples
Full powertrain example
Conclusion
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Noise generation process
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Power supply
Flux density and
electromagnetic
excitation
Structure dynamic
response
Noise radiation
and vibration
transmission
Noise generation process
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Motor
Structure noise
Air borne noise
Gearbox
Torque ripple
Main transfer paths:
- Air borne
- Structure borne
- Torque ripple
Electromagnetic excitations
Three main types of electromagnetic excitation
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BlidFd
Fd B
courant
Fd B
courant
Lorentz Force
Current
Force applied to
the wires
Magnetostriction
B
Additional strain under
magnetic flux density
Maxwell pressure
medium 2 (µ2)
P n
Bt1
Bn1
B1
B2Bt2
Bn2
P n
Bt1
Bn1
B1
B2Bt2
Bn2
Medium 1 (µ1)
Force density created
at an interface
0
2
2
1
μ
BP n
n
Maxwell pressure
medium 2 (µ2)
P n
Bt1
Bn1
B1
B2Bt2
Bn2
P n
Bt1
Bn1
B1
B2Bt2
Bn2
Medium 1 (µ1)
Force density created
at an interface
0
2
2
1
μ
BP n
n
Vibroacoustic behavior
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Magnetic forcesStator dynamic
responseAcoustic radiation
Vibration to noise
conversion ?Stator excitation ?
- Stator modes
- Excitation frequencies
- Excitation space distribution
- Deflection waveform
- Conversion efficiency linked to
deflection
Electromagnetic excitations
Wave forces
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They are characterized with:
- their frequency (f),
- their spatial order (m).
Spatial order 2
300Hz
Spatial order 0
250Hz
Spatial order -4
50Hz
Spatial order 4
400Hz
Vibroacoustic behavior
Stator
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Most important structure modes:
Stator radial modes
Mode (2,0) Mode (3,0) Mode (4,0)Mode (0,0)
Breathing mode
1000 Hz 2500 Hz 4500 Hz 6000 Hz
Vibroacoustic behavior
Resonance
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Frequency and space coincidence between an excitation contribution and
a stator mode.
4-lobe rotating force 4-lobe stator mode
Vibroacoustic behavior
Radiation efficiency
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Structure ability to convert vibration into noise : Radiation efficiency
S
2fVSc
fWf
)(
)( )(
Depends on : - the frequency,
- the surface shape,
- the deflection shape
Radiated power
Structure vibration
velocity
« Good » conversion : = 1
Vibroacoustic behavior
Radiation efficiency
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Mode Radiation factor associated to the deflection
0 lobe
2 lobes
3 lobes
4 lobes
Cylinder: R=0.12m
Content
Introduction
Noise generation process
Simulation methodology and validation
Optimization examples
Full powertrain example
Conclusion
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Simulation methodology
Basic principle
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Electromagnetic Simulation
(2D or 3D Finite Element Method)
Electromagnetic mesh
Mapping tool
Electromagnetic
excitation
Dynamic simulation
(3D Finite Element Method)
Structural
mesh
Dynamic
excitation
Acoustic simulation (FEM or BEM or analytical)
Vibration
velocity
Acoustic power
Basic principle:
Electromagnetic finite element
simulations
Projection of the excitations onto
the structural mesh
Dynamic structural simulation
Estimation of the acoustic radiation
Simulation methodology
Basic principle
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Mapping tool
2D electromagnetic
simulation
3D dynamic simulation
Dupont et al., Simulation of the airborne and structure-borne noise of electric powertrain:
Validation of the simulation methodology. Tech. rep., SAE Technical Paper, 2013.
Simulation methodology
Validation
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Test
Simulation
Acceleration – H44 (Automotive WRSM)
Speed [rpm]
Accele
rati
on
[m/s²
]
Simulation methodology
Validation
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Radiated noise power - H4 (automotive auxiliary device)
Simulation methodology
Validation
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Radiated noise power – H8 (automotive auxiliary device)
Simulation methodology
Validation
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Radiated noise power – H2 (aviation industry)
10dB
Content
Introduction
Noise generation process
Simulation methodology and validation
Optimization examples
o Structure optimization
o EM design optimization
Full powertrain example
Conclusion
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Example of structural optimization
Context
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Case 1: Noise of ICE starter
– The noise of starter becomes critical with the of « stop & start » systems
– Low noise but increase of the number of occurrences
– What is loud? What is annoying?
Ref: Wojtowicki et al., Noise diagnosis and reduction of
electrical machines based on the use of multi-physical
modelling, Aachen Acoustic Colloquium 2014.
Example of structural optimization
Diagnosis
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Noise of a starter: vibration measurement in starting phase
0.00 5000.00Hz
REF3:+Y (CH12)
0.00
1.00
s
Tim
e
-57.59
42.41
dB
m/s
2
2566.90
AutoPow er REF3:+Y WF 349 [0-1.74 s]
Engine speed
profile
Resonance
Example of structural optimization
Modal characteristics
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After model updating procedure 2-lobe modes
878Hz 937Hz
3-lobe modes
2278Hz 2400Hz
4-lobe modes
3310Hz
Example of structural optimization
Electromagnetic excitation
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Computed electromagnetic excitation
Example of structural optimization
Analysis of the excitation
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H19: 3-lobe excitation
H38: 2-lobe excitation
Example of structural optimization
Critical speed
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2-lobe excitation contribution
at 1000Hz
Critical speed:
Both a frequency and space coincidence between an excitation contribution
and a stator mode
(2,0) mode – ~1000Hz
Example of structural optimization
Optimization
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Diagnosis: Excitation of the 3-lobe mode by the 3-lobe excitation
contribution related to H19
Optimization: modification of the structure in order to shift the 3-lobe mode
outside of the speed range of interest. No impact on the EM performance.
Frequency shift of
the 3-lobe modeOrder tracking – H19
-12dB
Content
Introduction
Noise generation process
Simulation methodology and validation
Optimization examples
o Structure optimization
o EM design optimization
Full powertrain example
Conclusion
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Examples of EM design optimization
Case 2: PHEV traction machine
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Case 3: Sound radiated by a PHEV traction machine (10-pole PMSM)
Goal: find a EM design that minimizes the noise level radiated by the
machine for given operating conditions (speed(s), current)
Constraints: keep an acceptable torque (i.e. at least -2% compared to the
torque obtained for the initial design)
Modification example (generic design):
Examples of EM design optimization
Case 2: PHEV traction machine
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Focus of the
optimization
process
Examples of EM design optimization
Case 2: PHEV traction machine
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-14dB
Focus on a specific tonal noise
Same operating conditions (speed, torque, current)
Sound power level – Overall level
Sound p
ow
er
level[d
B r
ef.
1e-1
2 W
]
5dB
— Initial design
— Optimal design
Examples of EM design optimization
Case 3: ePowertrain
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ePowertrain (Permanent Magnet Synchronous Machine)
Focus on:
o Several operating conditions (WOT, POT…)
o several tonal contributions
o Airborne noise, structure-borne noise and torque ripple
Same operating conditions (speed, torque, current)
Workflow :
Initial diagnosis
Optimization and design specification
Prototype and test
Examples of EM design optimization
Case 3: ePowertrain
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WOTEngine order 8 Engine order 48
Engine order 96Engine order 24
Initial design
Optimal design
10dB
10dB
10dB
10dB
Initial design
Optimal design
Initial design
Optimal design
Initial design
Optimal design
Content
Introduction
Simulation methodology and validation
Example of structure optimization
Examples of EM design optimization
Full powertrain example
Conclusion
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Full ePowertrain
Presentation
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• Goal : simulate the noise and the vibration of a full ePowertrain
dedicated to automotive traction due to eMachine and gears effect.
• This simulation is a key step in a diagnosis approach and in an
optimization process.
• Characteristics of the full ePowertrain :
o eMachine : 8-pole PMSM (160kW 0-12000rpm)
o 2-stage gearbox directly flanged on the eMachine (helicoidal gears)
• Computation of dynamic response related to gear excitation and EM
excitation (independant computations)
Full ePowertrain
Torque
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• Transient torque generated by the eMachine (5000rpm)∆𝑇
𝑇= 31%
The torque ripple generated by the eMachine is
not taken into account in the gear simulation
Full ePowertrain
Operating Deflection Shapes
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H7,09 – 674Hz – 5700rpm
Excitation of the overall bending mode of the
ePowertrain (coupled to a shaft motion) by the
gear excitation
Full ePowertrain
Operating Deflection Shapes
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H24 – 1320Hz – 3300rpm
Excitation of the overall bending mode of the
ePowertrain by the torque ripple due to the
eMotor
Full ePowertrain
Operating Deflection Shapes
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H14.19 – 2413Hz – 10204rpm
Excitation of a gear bending and shaft bending
mode by the gear excitation
Full ePowertrain
Operating Deflection Shapes
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H48 – 7440Hz – 9300rpm
Excitation of the breathing mode of the eMotor
stator by the 0-lobe radial electromagnetic
excitation
Content
Introduction
Simulation methodology and validation
Example of structure optimization
Examples of EM design optimization
Full powertrain example
Conclusion
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Conclusions
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Vibroacoustics of e-machines: new field of expertise
Powerful multiphysical simulation methodology
Wide optimization possibilities
o Supply strategy (PWM strategy, PWM frequency)
o Electromagnetic optimization
o Structure optimization
o Optimization of the integration (rubber mounts, acoustic screens…)
Often associated to a gearbox: expertise complementary to gears
o Possibility to compute uncoupled associated responses
o Coupled behavior: that’s a tough one…
That’s all folks !
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Thank you for your attention
&