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CoolSensorNet – Wireless Sensing using Energy Harvesting Technologies Lars Göpfert ZMDI, Dresden [email protected]

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CoolSensorNet – Wireless Sensing using Energy Harvesting Technologies

Lars GöpfertZMDI, [email protected]

© ZMD AG 2010Page 2Page 2

Overview

• Part I - CoolSensornet• Cluster of Excellence “Cool Silicon”, Project “CoolSensornet”• Condition Monitoring Principles• Block Diagram and Demonstrator

• Part II – Energy Harvesting• Motivation• Applications• System Approach• Current Activities

• Summary and Outlook

© ZMD AG 2010Page 3

Cluster of Excellence “Cool Silicon” – Technical Lead-Projects

1) CoolComputing: Energy preserving computing platforms2) CoolReader: Energy autonomous E-Paper with broadband wireless connection3) CoolSensornet: Energy autonomous wireless sensors for structural health

monitoring (SHM)• reduction of CO2 emissions until 2020 by factor of 2• next generation airplanes with new materials (e.g. CFK/CFRP)• new SHM principles required

© ZMD AG 2010Page 4

Acousto Ultrasonic (AU) Structural Health Monitoring (SHM)

• Acousto ultrasonic (AU) structural health monitoring (SHM)• actuator stimulates lamb waves• sensor receives these waves

Actuator

Sensor

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rickers_50khz_E.dat ---> Data1b (blau) rickers_50khz_E.dat ---> Data2b (rot)

© ZMD AG 2010Page 5

AU SHM – Impact

• ultrasonic wave interacts with structural flaw• sensor signal changes amplitude and phase• local monitoring of structure

Actuator

Sensor

4 5 6 7 8 9 10 11 12 13 14

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-40

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rickers_50khz_E.dat ---> Data1b (blau) rickers_50khz_E.dat ---> Data2b (rot)

Structural flaw (impact)

© ZMD AG 2010Page 6

AU SHM – Detection

• Comparison between measured signal and reference signal • Challenges - existing algorithms are resource demanding

• high signal amplitude resolution• timing accuracy (timing synchronization required among sensor nodes)• memory requirement

• Currently investigation and optimization of algorithms for power consumption and chip area

4 5 6 7 8 9 10 11 12 13 14

x 10-4

-60

-40

-20

0

20

40

60

rickers_50khz_E.dat ---> Data1b (blau) rickers_50khz_E.dat ---> Data2b (rot)

© ZMD AG 2010Page 7

Passive Structural Health Monitoring (SHM)

• Low frequency sensing• Global monitoring of structure• Comparison between reference state and actual state

• red: Eigenform (undamaged state)• grey: Eigenform with delamination

• Challenge• long measurement time• energy and memory requirement

self-oscillation of wind power wing

© ZMD AG 2010Page 8

Block Diagram

System

ElectronicSub-System

WirelessNetwork Protocol

RF Frontend

(PHY)

Micro-controller

SHMAlgorithms

Memory

Sensor Signal Conditioning

and ADC/DAC

System/TimingManagement

PowerManagement

EnergyStorage

Crystal

PiezoHarvester

VibrationEnergy

SHMSensor/Actuator

energy autarkic wireless sensor node

© ZMD AG 2010Page 9

Block Diagram - Demonstrator

first demonstrator (Dec/2010)

System

ElectronicSub-System

WirelessNetwork Protocol

RF Frontend

(PHY)

Micro-controller

SHMAlgorithms

Memory

Sensor Signal Conditioning

and ADC/DAC

System/TimingManagement

PowerManagement

EnergyStorage

Crystal

PiezoHarvester

VibrationEnergy

SHMSensor/Actuator Wireless Module

EH Module (LTC3588)

Sensor Module

© ZMD AG 2010Page 10

Part II – Energy Harvesting

Applications• Energy autarkic wireless sensing applications, e.g.

• structural health monitoring of • wind power wings / rotor blades• bridges

• tire pressure measurement systems• metering

• thermostats are a driving application• Building automation (sensors & actuators with wireless interface)

© ZMD AG 2010Page 11

Example: Tire Pressure Monitoring System (TPMS) of Continental

© ZMD AG 2010Page 12

Energy Harvesting – System Perspective

• Wireless applications today are mostly using fixed-energy sources – batteries• lifetime is fixed, or• battery has to be replaced (or recharged) non-autarkic node

• If an energy harvesting system was got to work ….• potential for unlimited lifetime with respect to energy source• lifetime is limited by hardware components (reliability, aging)

Example for illustration: 100mAh battery vs. 100uW piezo vibration harvester• 1uA sleep current with timer function active• transaction every 2min for 50ms (e.g. beacon tracking, RX, TX) at 20mA average current of 8.3uA• average current consumption ~10uA• battery life time 1.14 years• energy harvesting application works if overall efficiency is larger than 10% (assuming “1V” for the moment)

E0

Pavg

Lifetimet

fixed energy source

Pavg

t

energy harvesting

PEH

© ZMD AG 2010Page 13

How to get energy harvesting system to work?

• Requirements• low power electronic components (same as for battery application)• energy harvesting power management (PM)

• Key parameters of power management• power consumption under light load (sleep mode)• efficiency• input voltage range• energy storage type and properties

Energy Management

energy transducer

electricalenergy rectifier

RFIC

energystorage

PowerIC

DC/DCconverter

energy source

stabilizationcapacitor

management/control

HV (SMU)

LDO

LV (core)

1.8...3.6V<1uA ...35mA

1.7...1.9V

© ZMD AG 2010Page 14

Ip VCp Rp Crect Vrect

DC-DCBuck Converter

CL RL Vout

Piezo Rectifier Load

Energy Harvesting System Model: Block Diagram

Block diagram based on simplified equivalent circuits:

• High-level parameters:

• AC Piezo generator:frequency fp open-circuit voltage Vpshort-circuit current Ip impedance Cp, Rp

• Full-wave bridge Rectifier:diode voltage drop Vdstorage capacitor Crect

• DC-DC Converter: quiescent current Iq efficiency ηthreshold voltages Vfall, Vrisemaximum input voltage

• Load:capacitor CLoutput power Pout

© ZMD AG 2010Page 15

Energy Harvesting System Model: Operation Cycle

Energy harvesting operation cycle:• Phase 0: start-up• Phase 1: minimum power operation (IC in sleep mode) and energy accumulation• Phase 2: maximum power operation (IC in active mode) for short time

Wireless Module with Energy Harvesting

(duty-cycling)

© ZMD AG 2010Page 16

Summary

• CoolSensornet project overview• Energy harvesting introduction

• Energy Harvesting is one way to enable energy efficient systems• Take the energy and use it - it is available anyway!

• Wireless & Energy Harvesting = Autarkic Sensor Nodes