DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial...

46
Pavia, 5 Pavia, 5 th th February 2013 February 2013 Magneto Magneto - - mechanical Energy Harvester mechanical Energy Harvester for wireless sensors for wireless sensors in Tyre, Shoes and other components in Tyre, Shoes and other components Elvio Elvio Bonisoli Bonisoli DIGEP DIGEP Department of Management Department of Management and Production Engineering and Production Engineering

Transcript of DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial...

Page 1: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

Pavia, 5Pavia, 5th th February 2013February 2013

MagnetoMagneto--mechanical Energy Harvester mechanical Energy Harvester for wireless sensors for wireless sensors

in Tyre, Shoes and other components in Tyre, Shoes and other components

ElvioElvio BonisoliBonisoli

DIGEPDIGEPDepartment of ManagementDepartment of Managementand Production Engineeringand Production Engineering

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Aim: supply energy to remote wirelesssensors inside tyre, shoes or other items

Presentation of the Cyber Tyre project Requirements, source characteristics 

and boundary constraints Description of the harvesting device dynamics Optimization aspects Performance index and comparison Other applications: shoes and mouse devices Conclusions

OutlinesOutlines

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Cyber™Tyre

Cyber™Tyre

Cyber™Tyre

Processing UnitReceiver

Receiver User Applications

Control System

Cyber™Tyre

Cyber™Tyre

Cyber™Tyre

Processing Unit Receiver

Receiver

Vehicle Dynamics 

Tyre like a sensor !

Pirelli Pirelli TyreTyre ProjectProject

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Cyber™Tyre

Cyber™Tyre

Cyber™Tyre

Processing UnitReceiver

Receiver User Applications

Control System

Cyber™Tyre

Cyber™Tyre

Cyber™Tyre

Processing Unit Receiver

Receiver

Vehicle Dynamics 

Tyre like a sensor !

Supply energy to remote wirelesssensors inside tyre

Why ? No time‐life constraintBatteries are not enough …“Green” meaning !

How ? Use tyre kinematicCharacteristics ? Small and powerful

Reliable and robust !Efficient and adaptive

Pirelli Pirelli TyreTyre ProjectProject

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Cyber™Tyre

Cyber™Tyre

Cyber™Tyre

Processing UnitReceiver

Receiver User Applications

Control System

Cyber™Tyre

Cyber™Tyre

Cyber™Tyre

Processing Unit Receiver

Receiver

Vehicle Dynamics 

Tyre like a sensor !

Sensors inside tyreWhy ? Pressure and Temperature monitoring

Forces, wearing measurementsGrip and aquaplaning estimations

How ? High technologyIntegration on vehicle dynamics

Pirelli Pirelli TyreTyre ProjectProject

Page 6: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

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University

Industrial partners

Car maker

Cyber™Tyre

Cyber™Tyre

Cyber™Tyre

Processing UnitReceiver

Receiver User Applications

Control System

Cyber™Tyre

Cyber™Tyre

Cyber™Tyre

Processing Unit Receiver

Receiver

Vehicle Dynamics 

Pirelli Pirelli TyreTyre ProjectProject

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Cyber Tyre: Temperature, pressure and 

grip evaluation on each tyre Integrated vehicle dynamic 

control (ABS, ESC, …)

Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester (mechanical‐electro‐magnetic) Harvester Interface (active control)

Pirelli Pirelli TyreTyre ProjectProject

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Very long historical connection to the water wheel, windmills and waste heat

Ironically, before batteries (Volta, 1799) and the dynamo (Faraday, 1831), energy scavenging or energy harvesting was the only way to get any useful power !

Today, great interest in the community for powering ubiquitously deployed sensor networks and mobile electronics

All depends on the application (source characteristics, power density requirements, …) – No one-size-fits-all !

Energy Harvester historyEnergy Harvester history

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Mean power and power density, obtained through scavengers, are usually small (µW, mW, W)

Source of power, excitation characteristics and harvesting technologies

Energy scavenging principles:• Radio waves• Vibrations• Electromagnetic• Electrostatics• Piezoelectric• Thermoelectric• Photovoltaic• Biological

ElectromagneticElectromagneticVibrationsVibrationsElectrostaticsElectrostaticsThermoelectricThermoelectric

PhotovoltaicPhotovoltaicPiezoelectricPiezoelectric

Examples ???Examples ???

Energy Harvester typologyEnergy Harvester typology

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ShakeShake‐‐drivendrivenflashlightflashlight

Mechanical watchesMechanical watches

Piezoelectric pavementPiezoelectric pavement

ElectrostaticElectrostaticgeneratorgeneratorin shoesin shoes

Solar panelsSolar panels

PZT generators in shoesPZT generators in shoes

Some examples Some examples ……

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depend heavily on the ambient excitation and harvesting technologies

Power densityPower density

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Characteristics and operational requirements: Small dimensions: about 10x10x10 mm High power density Wake‐up velocity 20‐30 km/h Velocity range up to 300 km/h Voltage > 1.3 V Lowest mean power 2.5 mW

Nonlinear electro‐magnetic device

(resonant and adaptive)

Pirelli Pirelli TyreTyre HarvesterHarvester

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Characteristics and operational requirements: Small dimensions: about 10x10x10 mm High power density Wake‐up velocity 20‐30 km/h Velocity range up to 300 km/h Voltage > 1.3 V Lowest mean power 2.5 mW

Nonlinear electro‐magnetic device

(resonant and adaptive)

Conicalrubberwedge

Peekcube

EnergyScavenger

Pirelli Pirelli TyreTyre HarvesterHarvester

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How it works: A floating magnet slides 

into the guide Around the guide are 

wound two coils Preload obtained through 

magnets Use of rare‐earth permanent 

magnets (high power density) Electric‐magnetic coupling 

with imposed dynamic

Pirelli Pirelli TyreTyre HarvesterHarvester

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Time [s]

Z-RADIAL

Source characteristics: Variations in the radial acceleration impose dynamic 

to a floating permanent magnet One‐wheel‐turn gives one pulse of energy

Radial acceleration [m

/s2 ]

Pirelli Pirelli TyreTyre HarvesterHarvester

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0 50 100 150 200 250 300 350-6

-4

-2

0

2

4

6

8

10

12

14

Vel [km/h]

Energy Scavenger Simulator

Voltage min [V]Voltage max [V]Voltage rms [mV]Power [mW]

Friction [N]Velox z [m/s]

Time [s]Accel x_input [m/s²]Accel y_input [m/s²]Accel z_input [m/s²]Disp z_shaker [mm]Velox z_shaker [m/s]Accel z_shaker [m/s²]

Disp x [mm]Disp y [mm]Disp z [mm]Velox z [m/s]Accel z [m/s²] Force K [N]

Force C [N]

Force K [N]Force C [N]Current [A]Voltage [V]Voltage Core1 [V]Voltage Core2 [V]Power av [mW]

Magnet_3dof

Input

0

0

0.08359

0.0114

-0.0029958

-1.9771972

0

0

2.442971

-0.039

-0.051

-0.173

1.038

0.011

0.00151

38.931

41.411

833.131

0

0

0

-0.019

1.038

CoilMagnet

Bumpstop

Box

Rif. Inerziale

Shaker

GeometricalGeometricalparametersparameters

0.08 0.09 0.1 0.11 0.12 0.13 0.14-6

-5

-4

-3

-2

-1

0

1

2

3

4

Time [s]

Vol

tage

[V]

Test Rubber 1Test Rubber 2Test No RubberES simulator

EstimatedEstimatedperformanceperformance

ComparisonComparison

FEMFEM

CADCAD

SIMSIM

PrototypePrototypeand testsand tests

Simulated performanceSimulated performance

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Friction [N]Velox z [m/s]

Time [s]Accel x_input [m/s²]Accel y_input [m/s²]Accel z_input [m/s²]Disp z_shaker [mm]Velox z_shaker [m/s]Accel z_shaker [m/s²]

Disp x [mm]Disp y [mm]Disp z [mm]Velox z [m/s]Accel z [m/s²] Force K [N]

Force C [N]

Force K [N]Force C [N]Current [A]Voltage [V]Voltage Core1 [V]Voltage Core2 [V]Power av [mW]

Magnet_3dof

Input

0

0

0.08359

0.0114

-0.0029958

-1.9771972

0

0

2.442971

-0.039

-0.051

-0.173

1.038

0.011

0.00151

38.931

41.411

833.131

0

0

0

-0.019

1.038

CoilMagnet

Bumpstop

Box

Rif. Inerziale

Shaker

Floatingmagnet

Iron-coilcoupling

Elasticand/or

dissipativeterms

Tyrekinematic

State

Forces

Simulated performanceSimulated performance

Page 18: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

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CxFxm CyFym

emairbumpfricCz FFFFFzm

Dynamic equilibrium of the floating magnet:

xy

z

xgmF Cx

~ygmF C

y~zgmF C

z~

from Pirelli exp.

0if

if00if

limlim

limlim

limlim

bump

bumpbump

Fzzzczzk

zzzFzzzczzkF

limlimlimlim

limlim

if0,ifsign

yyyxxxyyxxzzfF fric

Rubbery bumpers

Adhesion and friction

Modelling aspectsModelling aspects

Page 19: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

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xy

z Pneumatic effects

airvis

airp

air FFF

12

2

4ppdF air

p

inpr

inpvisair

vis zzc

hdzzF

inpairairairp

airairairp

zzF

zzkF

Modelling aspectsModelling aspects

Page 20: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

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xcFxm ,

ycFym ,

bumpfricemzc FFFFzm ,

Dynamic equilibrium of the floating magnet:

xy

z

Electro-magnetic coupling from FEM

cemkemem FFF ,, zFF kemkem ,,

idzdN

zi

dtdN

zieF cem

,

ediC

iRRdtdiL

t

ll 0

1

Modelling aspectsModelling aspects

Page 21: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

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xcFxm ,

ycFym ,

bumpfricemzc FFFFzm ,

Dynamic equilibrium of the floating magnet:

xy

z

Electro-magnetic coupling from FEM

cemkemem FFF ,, zFF kemkem ,,

idzdN

zi

dtdN

zieF cem

,

ediC

iRRdtdiL

t

ll 0

1 -3 -2 -1 0 1 2 30

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Displacement [mm]

Forc

e [N

]

v = 7.4 % , m = 7.2 %

v = 7.4 % , m = 3.2 %

v = 5.3 % , m = 14.1 %

v = 5.3 % , m = 6.3 %

Modelling aspectsModelling aspects

Page 22: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

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xcFxm ,

ycFym ,

bumpfricemzc FFFFzm ,

Dynamic equilibrium of the floating magnet:

xy

z

Electro-magnetic coupling from FEM

cemkemem FFF ,, zFF kemkem ,,

idzdN

zi

dtdN

zieF cem

,

ediC

iRRdtdiL

t

ll 0

1 -3 -2 -1 0 1 2 30

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Displacement [mm]

Forc

e [N

]

v = 7.4 % , m = 7.2 %

v = 7.4 % , m = 3.2 %

v = 5.3 % , m = 14.1 %

v = 5.3 % , m = 6.3 %

-3 -2 -1 0 1 2 30

50

100

150

200

250

Displacement [mm]

Freq

uenc

y [H

z]

v = 7.4 % , m = 7.2 %

v = 7.4 % , m = 3.2 %

v = 5.3 % , m = 14.1 %

v = 5.3 % , m = 6.3 %

Modelling aspectsModelling aspects

Page 23: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

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xy

z

30 km/h30 km/h60 km/h60 km/h

100 km/h100 km/h

Comparison of dynamicsComparison of dynamics

Page 24: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

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Velocity of 20 km/h  not working … Magneto‐elastic preload confines magnet displacement 

to no dynamic Electric‐magnetic coupling is close to be null

0.7 0.75 0.8 0.85 0.9 0.95 1 1.05 1.1-4

-2

0

2

4

Dis

p z-

z inpu

t [mm

]

Energy Scavenger Simulator

0.7 0.75 0.8 0.85 0.9 0.95 1 1.05 1.1-0.4

-0.2

0

0.2

0.4

Vel

zd-

zdin

put [m

/s]

Time [s]0.7 0.75 0.8 0.85 0.9 0.95 1 1.05 1.1

-20

0

20

40

60

80

100

120

140

160

180

200

Acc

el z

ddin

put [m

/s2 ]

Time [s]

Energy Scavenger Simulator

InputShaker

Simulated performanceSimulated performance

Page 25: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

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0.9 0.92 0.94 0.96 0.98 1 1.02 1.04 1.06 1.08 1.1-100

0

100

200

300

400

500

600

700

800

900

Acc

el z

ddin

put [m

/s2 ]

Time [s]

Energy Scavenger Simulator

InputShaker

Velocity of 40 km/h  full operative condition Wide amplitude resonant motion Electric‐magnetic coupling is equivalent to a viscous 

damping effect

0.9 0.92 0.94 0.96 0.98 1 1.02 1.04 1.06 1.08 1.1-4

-2

0

2

4

Dis

p z-

z inpu

t [mm

]

Energy Scavenger Simulator

0.9 0.92 0.94 0.96 0.98 1 1.02 1.04 1.06 1.08 1.1-1.5

-1

-0.5

0

0.5

1

Vel

zd-

zdin

put [m

/s]

Time [s]

Simulated performanceSimulated performance

Page 26: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

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Velocity of 80 km/h  full operative condition Magnet presents an impulsive dynamic Electric‐magnetic coupling maintains a good power flow At higher speed the power reduces because the moving mass 

does not have the time to reach the upper bumper

0.55 0.56 0.57 0.58 0.59 0.6 0.61 0.62 0.63 0.64 0.65-500

0

500

1000

1500

2000

2500

3000

3500

Acc

el z

ddin

put [m

/s2 ]

Time [s]

Energy Scavenger Simulator

InputShaker

0.55 0.56 0.57 0.58 0.59 0.6 0.61 0.62 0.63 0.64 0.65-4

-2

0

2

4

Dis

p z-

z inpu

t [mm

]

Energy Scavenger Simulator

0.55 0.56 0.57 0.58 0.59 0.6 0.61 0.62 0.63 0.64 0.65-6

-4

-2

0

2

Vel

zd-

zdin

put [m

/s]

Time [s]

Simulated performanceSimulated performance

Page 27: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

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Device Device behaviourbehaviour

Page 28: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

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PrototypesPrototypes

Page 29: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

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PrototypesPrototypes

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PrototypesPrototypes

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0.15 0.16 0.17 0.18 0.19 0.2-1.5

-1

-0.5

0

0.5

1

1.5

2

Time [s]

Vol

tage

[V]

ExperimentalSimulated

Test on shaker:• Resonance detection and nonlinearity weight• Tests with sinusoidal and road profiles

• Test with adapted load Rl = 2 x 210 :

• road profile accelerationswithout radialcomponent 60 km/h

Experimental comparisonExperimental comparison

Page 32: DIGEP - unipv · control (ABS, ESC, …) Inside each node Sensors (temperature, pressure, 3‐axial accelerometer) Electronic circuits UWB Antenna + PAN on vehicle Energy Harvester

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0.15 0.16 0.17 0.18 0.19 0.2-1.5

-1

-0.5

0

0.5

1

1.5

2

Time [s]

Vol

tage

[V]

ExperimentalSimulated

0 0.05 0.1 0.15 0.2 0.25 0.3 0.350

0.1

0.2

0.3

0.4

0.5

Time [s]

Pow

er [m

W]

ExperimentalSimulated

Test on shaker:• Resonance detection and nonlinearity weight• Tests with sinusoidal and road profiles

• Test with adapted load Rl = 2 x 210 :

• road profile accelerationswithout radialcomponent 60 km/h

Experimental comparisonExperimental comparison

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mm75.00 Y mm00.10 Y

Experimental comparisonExperimental comparison

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mm75.00 Y mm00.10 Y

mm15.10 Y mm25.10 Y

Experimental comparisonExperimental comparison

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mm75.00 Y mm00.10 Y

mm15.10 Y mm25.10 Y

mm35.10 Y mm50.10 Y

Experimental comparisonExperimental comparison

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Goals: Verifying that the topology is optimal Improving the performance at low speed  Optimization of components “weights”

Device optimizationDevice optimization

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Multiple coils configurations Two (or more) spacers 

between coils One or more floating 

magnets

Flux

 linkage [W

b]Displacement [mm]

Coils optimizationCoils optimization

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Full parametric model Volume constraints Gradient or genetic 

algorithms

0 20 40 60 80 100 120 140 1600

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Uni

tary

erro

r [-]

Iteration

Mean po

wer [m

W]

Global optimizationGlobal optimization

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Maximum available energy and power:

The system is more effective at low vehicle speed

samLE rext 2max

2

3

max 2rvsmsamfP r

Device efficiencyDevice efficiency

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Work in progress Work in progress ……

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Work in progress Work in progress ……

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Friction [N]Velox z [m/s]

Time [s]Accel x_input [m/s²]Accel y_input [m/s²]Accel z_input [m/s²]Disp z_shaker [mm]Velox z_shaker [m/s]Accel z_shaker [m/s²]

Disp x [mm]Disp y [mm]Disp z [mm]Velox z [m/s]Accel z [m/s²] Force K [N]

Force C [N]

Force K [N]Force C [N]Current [A]Voltage [V]Voltage Core1 [V]Voltage Core2 [V]Power av [mW]

Magnet_3dof

Input

0

0

0.08359

0.0114

-0.0029958

-1.9771972

0

0

2.442971

-0.039

-0.051

-0.173

1.038

0.011

0.00151

38.931

41.411

833.131

0

0

0

-0.019

1.038

CoilMagnet

Bumpstop

Box

Rif. Inerziale

Shaker

Floatingmagnet

Iron-coilcoupling

Elasticand/or

dissipativeterms

Tyrekinematic

State

Forces

Simulated performanceSimulated performance

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Time histories and frequency contents

From From tyretyre to to …… shoesshoes

0 10 20 30 40 50 60 70-250

-200

-150

-100

-50

0

50

100

150

200

250

Time [s]

Acc

eler

atio

n [m

/s2 ]

xddyddzdd

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Optimization with conical springs

From From tyretyre to to …… shoesshoes

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Prototypes

From From tyretyre to to …… shoesshoes

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ResumeResume

Energy Harvester for power supplier of wireless sensors

Power density and suitability of sources Pirelli Cyber Tyre project Magneto-mechanical Energy Harvester Nonlinear dynamics, optimization and results From tyre to shoes and other device applications

Acknowledgements / People involved

Prof. Stefano TORNINCASA Ing. Elvio BONISOLI ([email protected]) Ing. Marco BRINO ([email protected]) Ing. Francesco DI MONACO Ing. Gabriele MARCUCCIO