Powering Wearable Technology and Internet of Everything Devices

ADVANCED POWER SOLUTIONS FOR
WEARABLE TECHNOLOGY AND
INTERNET OF EVERYTHING SENSORS
WEBINAR
©2014 Cymbet Corporation All Rights Reserved
Webinar Agenda
1.
Wearable Technology and Internet of Everything market dynamics
2.
Examine WT and IoE system components and powering options
3.
Techniques for harvesting ambient energy to recharge devices
4.
New technologies and the cost trade-offs for advanced power solutions
5.
Design tips for building ultra-low power systems with long battery life
6.
Examples of real-world Energy Harvesting-powered WT and IoE devices
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2
The Key Trends Driving Innovation
for Internet of Everything and Wearable Tech
Ultra Low
Power
Processors &
Electronics
Smart
Devices and
Sensors
Everywhere
Wireless is
pervasive
Integration
with other
components
Miniaturization
Eco-Friendly
and
Renewable
Energy
Convergence of Trends into Products
•
•
•
•
•
New innovative products are smarter, smaller and wireless
Smart devices that must communicate status/control
There will be billions of new networked smart devices
Health, Industrial, Buildings, Appliances, Transportation
New Efficient and Cost-Effective Powering solutions needed
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3
25 Years of Device Evolution to IoE
Fixed Computing to Internet of Everything
Source:Cisco
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4
HP, IBM, Google, Cisco, et al…
Giving the Planet a Voice with Sensors
HP CeNSE Project
IBM Smarter Planet
“Trillions of digital
devices
connected to the
Internet, are
producing a vast
ocean of data…”
“The Internet of Everything builds
on the Internet of Things by
adding network intelligence and
security that allows convergence,
orchestration and visibility across
disparate systems.
But…. Who’s going to change 1 Trillion Batteries????!
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5
Use Energy Harvesting vs. Primary Batteries
 Energy can be harvested from almost any environment:
• Light, vibration, flow, motion, pressure, magnetic fields, RF, etc.
 Energy Harvesting applications found in every industry segment
 EH-powered systems need reliable energy generation, storage and delivery:
• Must have energy storage as EH Transducer energy source is not always
available: (Solar @night, motor vibration at rest, air-flow, etc.)
• Longer operating times – high-efficiency minimizes charge loss
• Self-Powered allows remote locations & lower installation costs
• High cycle life enables extended operation – fewer service calls
 Ideal solution is a highly-efficient, eco-friendly, power generation system that
can be cycled continuously for the life of the product
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6
EH Power Range for IoE and Wearables
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7
Energy Harvesting Powered Wireless Sensor Diagram
“Energy Aware”
Systems
measure and
report EH input
power and
Battery state of
charge to
optimize
operation
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8
Key Design Issue for EH-Powered Systems
1
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0.1
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Current
Current
 High efficiency designs
 Minimize losses (on-resistance, coil resistance, ESR, leakage, …)
 Minimize average standby/sleep power
 Reduce wireless TX/RX power and/or lengthen radio pulse duty cycle
 Maximize harvested power through the power chain
0
20
40
60
80
100
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0.9
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0
20
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Time
Time
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Energy Harvesting Transducers
What Ambient Energy is Available?
Energy Source
Challenge
Typical
Impedance
Typical
Voltage
Typical Power
Output
Light
Conform to small
surface area;
wide input voltage
range
Varies with light
input
Low kΩ to 10s of
kΩ
DC: 0.5V to 5V
[Depends on
number of cells in
array]
10µW-15mW
(Outdoors: 0.15mW15mW)
(Indoors: <500µW)
$0.50 to
$10.00
Vibrational
Variability of
vibrational
frequency
Constant
impedance
10s of kΩ to
100kΩ
AC: 10s of volts
1µW-20mW
$2.50 to
$50.00
Thermal
Small thermal
gradients;
efficient heat
sinking
Constant
impedance
1Ω to 100s of Ω
DC: 10s of mV to
10V
0.5mW-10mW
(20°C gradient)
$1.00 to
$30.00
RF & Inductive
Coupling &
rectification
Constant
impedance
Low kΩs
AC: Varies with
distance and power
0.5V to 5V
Wide range
$0.50 to
$25.00
Cost
Designs must deal with different: Impedance, Voltages, Output power, etc.
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10
Using Maximum Peak Power Tracking (MPPT)
 Match the Impedance of the Energy Harvesting Transducer Source to the
Impedance of the Load using Maximum Power Point Tracking circuitry to provide
the highest efficiency harvesting.
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11
EH Power Conversion Techniques
 MPPT algorithms
•
Incremental conductance (ΔP/ΔV)
•
P&O
•
Fractional OCV
Hill climbing algorithms
 Fractional OCV (Open Circuit Voltage)
•
MPP voltage has a fixed ratio to open circuit voltage (0.7 – 0.8)
•
But: Ratio not constant and different for every generator
 Perturb & Observe
•
Generic algorithm
•
Oscillates around MPP
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12
Variable Impedance EH Transducer - Solar
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Constant Impedance – Thermal, Piezo, Electromagnetic
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14
Solar Power Management Example
• Series / parallel combinations optimize panel voltages (1 to 4 volt range)
• Maximum power point tracking / control optimizes energy transfer
• Example: Cymbet CBC915 Energy Processor chip
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15
MPPT with Thermoelectric Generator
 TEG has various Power outputs at different Temperature gradients and Peak Power
Point occurs at different places.
 An example hill-climbing MPPT algorithm is shown to arrive at the Peak Power Point
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16
EH vs. Primary Battery Costs Comparisons
• Small device designs that do not have a charging source – either
AC/DC, Energy Harvesting or Wireless Power – use a primary
battery
• Primary batteries have reached commodity status with
billions/year shipped
• How to compare cost of Energy Harvesting to Primary Batteries?
• Model the Energy Harvester as a variable capacity battery and
divide the cost of the EH components by the amount of energy
created over the life of the EH-powered system.
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17
Calculate the $/mAh for Batteries
• Example using 3Volt batteries 1K Quantity from Distributors:
•
•
•
•
CR2032 coin + holder: $.36/225mAh x 1 cycle = $0.0016/mAh
Tadiran coin: $4.82/1000mAh x 1 cycle = $0.0048/mAh
Alkaline 2 AAA + holder: $1.71/1000mAh x 1 cycle = $0.0017/mAh
Cymbet EnerChip: $2.70/50uAh x 10,000 cycles = $0.0054/mAh
• To charge rechargeable batteries, need to add the Cost for EH power system
• Supercapacitors can be used, but electrical characteristics are a concern
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18
Calculating the $/mAh of the Energy Harvester
•
•
•
•
•
•
Think of the Energy Harvester as a variable capacity battery
The output energy will depend on the ambient energy conditions
Energy Harvester designs will have a min/max energy output range
Calculate the EH cost based on the energy output average
Cost is Transducer + interface components+ storage + conversion electronics (IC)
Example: Simple Solar Energy Harvester at 400Lux with 24/7 operation
• Sanyo AM1815 4.9V solar cell $4.39 (1K pcs) output is 294uW
• Assume simple conversion electronic components for $1.25
• EnerChip Batteries – 200uAh total capacity $4.10
• 294uW/3.3V = 89microAmps output from Solar Harvester
• Total capacity over 10 year 24/7 life = 7796 mAh
• $/mAh for Solar EH = $0.0013/mAh. Lower than AAA and Coin cell costs
Energy Harvesters can be designed as cost effectively as Primary Batteries
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Assigning $ Value to EH-Power Solution over Batteries
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
Primary Battery Change-out – device access and cost of replacement
What is the product power lifetime requirements – 200mAh, 1Ah, 10Ah?
Life of product duration expectations – 3, 5, 10, 20 years?
Battery Footprint and overall product size
Battery Height and overall product size
$cost/uAh/mm3 - how much energy for $ in how small a space?
Assembly Issues and Costs
Product Physical design – No doors or customer access
Electrical Characteristics - flat voltage, fast recharge, low discharge
Aging Characteristics – chemical leakage, seals drying out
Transportation Restrictions – UN and Country Air Safety shipping laws
Safety and End-of-Life Disposal - what are the procedures and costs
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EH Power System Cost vs. Benefit
$ Cost
vs.
$ Benefit
vs.
Requirements
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21
“Watt a waste…..”
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22
IoE Needs a New Type of Battery
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23
Cymbet Rechargeable Solid State Batteries
Solid State Cathode
EnerChip Co-packaged
EnerChips
on Silicon
Wafers
Solid State Battery & PMU
Anode Current
Collector
Cathode
•
Solid State Electrolyte
Electrolyte
Charging
Protective Coating
Current Collector
Substrate
Discharging
Manufactured with standard silicon CMOS-type processes.
 Small Chip-scale footprint - bare die or packaged parts - 150 microns thick
 Thousands of Recharge cycles – “life of product” Fast recharge – 80% in 10 minutes
 Ultra-low self-discharge + flat discharge profile - Uniquely suited to Energy Harvesting
 Reflow tolerant for low cost automated assembly SMT - >360⁰C
 Completely Eco-Friendly; No heavy metals, liquids, binders, etc
 As a silicon-based device, can be co-packaged or embedded with MCUs, RTCs, etc.
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Solid State Batteries Used in Several Applications
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Comparing Energy Storage Options
SSB = Best of Both Worlds
 High Drive Current
 High Energy Density
 50 X SuperCap
 Lowest Leakage
 4,000 X < SuperCap
 Rechargeable / Long Life
 Superior Lifetime Energy –
never replace a battery
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26
Solid State Batteries Provide Key EH Battery Requirements
Need:
• 1000’s
charge
cycles
• Flat
Output
voltage
• Fast
Charge
• Low Self
Discharge
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27
Solid State Batteries Shrink Sensors
Reducing
the IoE
Sensor
size
144,000x
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28
4 Key Techniques for Successful EH Designs
1. Determine energy available from your environment
•
Type of Energy Source(s), Amount of Energy, Duty Cycle
2. Harvest energy as efficiently and cost effectively as possible
•
Use MPPT or optimized circuits
3. Calculate application power requirements in all operation
modes and minimize design to fit available input EH power
•
System Start-up Power, Sleep, Radio TX/RX, Sensing, Leakage, etc.
4. Size storage for times when ambient energy is not available
•
Almost all systems need rechargeable storage device
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29
Industry is Providing Ultra-Low Power Solutions for IoE
 Low Power Microprocessors with nanoAmp sleep currents
•
TI, Renesas, Microchip, NXP, Silicon Labs, etc.
 Low Power Radio Transceivers and Energy Efficient Protocols:
•
802.15.4 Zigbee, 6LoWPAN using IP, Bluetooth Smart, ANT +, EnOcean
 Micro-power Sensors with low sleep currents
•
Sensiron, NXP, TI, others….
 Lower quiescent current peripheral circuits – PMICs, timers, A/D, etc.
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30
Techniques for running IoT Sensors on 1uW Avg. Power
 Off-the-shelf MCUs are capable of 1uW computing
• Acceptable Performance at 1-2KIPS (not 1-2MIPS!)
• Utilize Sensor samples at 1-10 SPS
• ULP standby clock
• Instant-on and very accurate high-speed clock
• I/O, interrupt capability, and all RAM retained
 Traps
•
•
•
•
•
•
Firmware – no loops, all interrupts
Temperature increases leakage significantly
Floating inputs
Multiple voltage domain satiation
Watch for un-deterministic clocking
Where to get a 2V supply in a real application?
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31
Power Switching Technique for WT and IoE Optimization
 There may be situations where the components used in the
design have high power operation.
 In this case, a Power Switching technique called an “Enerrupt”
can be implemented.
 The power in the WT or IoE system is switched on/off by a
timer device
 An ideal device for this implementation is the Cymbet
EnerChip RTC CBC34803 (I2C-bus) or CBC34813 (SPI). In the
lowest power timer mode, the EnerChip RTC uses only 14nA
of current.
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32
“Enerrupt” System Power Using an EnerChip RTC
Fig 1: Switched VSS (Ground) Configuration
CBC34803
VCC
I2C
VSS
nIRQ2
VCC
MicroController
VSS
VCC
Sensor
/Switch
VSS
Fig 2: Switched VCC Configuration
CBC34803
VCC
I2C
VSS
nIRQ2
VCC
MicroController
VSS
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VCC
Sensor
/Switch
VSS
33
Example Power Savings from using Enerrupt Circuit
Application Note AN-1059
 Power savings calculations have several variables to balance – Active run times,
sleep periods, active time/sleep time and number of instructions.
 Power Savings Ratio shows battery extension of up to 11 times
Power Savings with Periodic Interrupt
Original
Sleep
current in
uA
uA/Mhz
Mhz
0.6
200
0.6
200
0.6
200
0.6
200
0.6
200
0.6
200
0.6
200
0.6
200
1.6
200
1
1
1
1
1
1
1
1
1
Power
Active
Active Current
Runtime in Sleep Period in When Running
Number of Savings
Active Time /
Instructions Ratio
ms
Sleep Time
ms
(ua)
0.1
16
200.000
0.0063
100
0.47
0.1
33
200.000
0.0030
100
0.97
0.05
33
200.000
0.0015
50
1.89
0.1
100
200.000
0.0010
100
2.80
0.05
100
200.000
0.0005
50
5.26
0.1
250
200.000
0.0004
100
6.38
0.05
250
200.000
0.0002
50
11.11
0.2
250
200.000
0.0008
200
3.45
0.3
250
200.000
0.0012
300
6.30
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34
Bluetooth Smart Wearables Will Scale Faster
due to Simple Interoperability
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35
Bluetooth Smart EH-Powered Beacon
Courtesy: Dialog
Semiconductor
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BLE Beacon Tear Down
Courtesy: Dialog
Semiconductor
 Dialog DA14580 BLE radio, Solar Cell to TI BQ25504 PMIC with
Cymbet EnerChip CBC050 rechargeable solid state battery
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37
EH-Powered Wearable Intra-Ocular Pressure Sensor
 All the EH-powered sensor components are here: Sensor, Energy Storage,
MCU with A/D, Solar Cell and Radio with Antenna
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38
Example of Wireless EH-Powered
Smart Contact Lens Concept
Ultra Low Power
Management IC
Designs Integrated
with MCU and
Radio
Cymbet EnerChip
Non-Cytotoxic
Rechargeable
Solid State
Battery
Wireless
Communication
to Smartphone
and Wireless
Charging
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39
Summary
• Billions of smart devices deployed over the next 10 years need to:
• Be powered autonomously and be “off-grid”
• Have a power source that lasts the life of the device
• Be small, integrated and cost effective
• Cost effective Energy Harvesting solutions can power products
• Success is based on the EH Ecosystem converging:
• EH Transducers
• High Efficiency power conversion
• Life of Product Energy storage
• Ultra low power Microcontrollers and Sensors
• Low power wireless radios and protocols
• Optimized system architecture, hardware and firmware
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40
Q&A, Resources and Evaluation Kits:
 Free Executive Briefing that supports this presentation: “Powering
Wearable Technology and Internet of Everything Devices” can be
found here: http://www.cymbet.com/design-center/white-papers.php
 Register to win a free Cymbet Energy Harvesting evaluation Kit here:
http://www.cymbet.com/win-a-free-enerchip-evaluation-kit.php
 Cymbet EnerChip solid state battery datasheets, application notes,
Case Studies and Reference Design documents are here:
http://www.cymbet.com/products/datasheets-downloads.php
 Steve Grady – [email protected]
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