Battery Performance and Design Aida Rahim, PhD Senior Applications - - PowerPoint PPT Presentation

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Battery Performance and Design Aida Rahim, PhD Senior Applications - - PowerPoint PPT Presentation

Monitoring Cell Temperature to Optimize Battery Performance and Design Aida Rahim, PhD Senior Applications Engineer Presenter Aida Rahim, PhD Senior Applications Engineering PhD Mechanical Engineering from MIT Part of the Luna team


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Monitoring Cell Temperature to Optimize Battery Performance and Design

Aida Rahim, PhD Senior Applications Engineer

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SLIDE 2

Presenter

Aida Rahim, PhD

  • Senior Applications Engineering
  • PhD Mechanical Engineering from MIT
  • Part of the Luna team since 2011
  • Projects:
  • Temperature monitoring of battery packs
  • Embedding sensors in composites for structural

testing

  • Supports:
  • Customer training and applications
  • Product testing
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SLIDE 3

Luna Corporate Overview

Corporate HQ Division HQ Commercial only

Luna Labs Charlottesville, VA Headquarters - Roanoke, VA Lightwave Division

  • Blacksburg, VA
  • Atlanta, GA
  • Chino, CA

TeraMetrix Division Ann Arbor, MI Edinburgh, United Kingdom Shanghai, China Stuttgart, Germany

Founded 1990 NASDAQ: LUNA (2006) Corporate HQ in Roanoke, VA 260+ employees Worldwide presence and support Strong, consistent growth Recent expansion

▪ Micron Optics – 2018 ▪ General Photonics – 2019

Lausanne, Switzerland Guangzhou, China Beijing, China

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SLIDE 4

Luna Lightwave Division Focus

Sensing and gauging solutions that deliver data and insight not available with conventional data acquisition and monitoring systems

FIBER OPTIC SENSING Developing advanced optical technology that enable our customers to deliver better products and processes faster and more efficiently

Innovative measurement technologies for testing

  • ptical components and networks deployed in telecom

and data-communications markets

Automotive | Aerospace |Structures | Security

OPTICAL MEASUREMENT & CONTROL Communications Test and Measurement

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SLIDE 5

Setting the Stage

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SLIDE 6

Motivation

Sources: https://www.survivalkit.com/blog/how-to-deal-with-lithium-ion-battery-fires/ https://www.bestattorney.com/orange-county/hoverboard-injury-lawyers.html http://allaboutwindowsphone.com/flow/item/18407_Replaceable_batteries_again_ba.php https://www.scientificamerican.com/article/how-lithium-ion-batteries-grounded-the- dreamliner/ https://www.bensound.com/

A safer, more powerful, and cost-effective solution to detect and provide warning of battery faults well in advance of failure is necessary

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SLIDE 7

Measurement Tool

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Types of Fiber Optic Sensing

  • 2-3+ wires per sensor
  • Multiple DAQs
  • Low resolution
  • Bulky, metallic wiring

Standard, Electrical Approach

Multiple Copper Wires Per Sensor

DAQ System

Sensors

Foil strain gages, thermocouples, RTDs, etc.

Susceptible to Electromagnetic Interference Bulky Sensors and Cabling

Selected Sensor Locations

Limited Data (Low Sensor Count)

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SLIDE 9

Types of Fiber Optic Sensing

FOS/FBG Interrogator Multiple Sensor Points Per Fiber Distributed ‘Continuous’ Measurements

  • Single optical fiber
  • Static and dynamic

measurements

  • Long range (km’s)
  • Easy to install

High-Speed Distributed Sensing High-Definition Distributed Sensing

  • Single optical fiber
  • 1000’s of sensors
  • Ultra-high spatial resolution
  • Easy to install

HD-FOS Interrogator

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SLIDE 10

Fiber Optic Sensing

▪ Very small, low profile (easy to embed) ▪ Lightweight ▪ Flexible ▪ Distributed ▪ Passive ▪ Immune to EMI ▪ Chemically inert ▪ Intrinsically safe

Works in harshest environments Can measure where you need data Provides more data, more insight

▪ High-definition mapping

  • f strain/temperature

▪ Distributed sensing

  • ver large areas

Optical Sensing can be applied at each level of battery design for all styles of cells

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SLIDE 11

Distributed Sensors Single-Point Sensor

Types of Fiber Optic Sensing

Single sensing element Multiple sensing points Continuous sensing along fiber Multiplexed/Quasi-Distributed Fully Distributed

Optical fiber Optical fiber Optical fiber

  • Fabry-Pérot Sensors
  • Single Fiber Bragg Grating
  • Fiber Bragg Gratings
  • Rayleigh
  • Raman
  • Brillouin
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SLIDE 12

Fiber Bragg Grating (FBG) Sensing – How Does It Work?

Transmitted Signal λ1

λ

λ2 λ3

λ

Fiber Bragg Gratings (FBGs)

fiber core

Reflected Signal λ1

λ

λ2 λ3 λ1 λ2 λ3 Transmitted Signal

λ

Reflected Bragg wavelengths ( n) change with strain and temperature

Reflected Signal

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SLIDE 13

High-Speed FBG Sensing System

Surface Strain Embedded Strain Temperature Acceleration

(multiplexed Fabry-Perot)

ENLIGHT Measurement Software HYPERION Interrogator

HYPERION

Sensors

Hundreds of sensors per system Strain, temperature, acceleration, displacement, etc. Acquisition rates up to 5 kHz Long fiber range (km’s)

Up to 16 parallel channels

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SLIDE 14

Distributed Sensing: How it Works

Optical Fiber

Rayleigh backscatter, due to natural minute variations in index of refraction in fiber core Tunable Laser Source

  • Backscatter provides unique “fingerprint” of optical fiber
  • Frequency shift correlates to change in applied strain or

temperature

  • OFDR system resolves shift along fiber length

Rayleigh backscatter signal

Strain or Temperature vs. Length

40 20

  • 20
  • 40

Temperature (°C) 40 20

  • 20
  • 40

Temperature (°C) 40 20

  • 20
  • 40

Temperature (°C)

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SLIDE 15

High-Definition Fiber Optic Sensing System

ODiSI (Optical Distributed Sensor Interrogator)

ODiSI

HD Sensors – Strain and Temperature

Up to 8 parallel channels

Measures strain or temperature continuously along fiber (resolution down to 0.65 mm) Sensor length up to 50 m (per channel) Acquisition rates up to 250 Hz

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SLIDE 16

Comparing ODiSI and HYPERION

High-Definition (Rayleigh) Fiber Optic Sensing High-Speed (FBG/FP) Fiber Optic Sensing

Ultra-high spatial resolution High-speed measurements Measure continuously along standard

  • ptical fiber

FBGs or FBG/FP-based transducers distributed on optical fiber Strain, Temperature Strain, Temperature, Acceleration, Displacement, Pressure

ODiSI HYPERION

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SLIDE 17

DEMO

High-Definition Fiber Optic Sensing with Luna ODiSI 6100

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Application to Batteries

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Effective and Efficient Design Tool

Cell ▪ Evaluate effects different charge/discharge rates have on cell chemistry ▪ Qualify cells being cycled in different environmental conditions Module ▪ Evaluate cooling effectiveness ▪ Find hot-spots among clusters of neighboring cells Pack ▪ Ensure cell connections are robust ▪ Evaluate thermal profile inside enclosures

Optical Sensing can be applied at each level of battery design for all cell types.

https://www.electricvehiclesresearch.com/articles/2822 /the-growing-ev-market-will-fail-without-battery-size- standards-support

Enclosure Cells

Monitor the temperature

  • f every terminal with
  • ne sensor
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SLIDE 20

Integrating fiber sensing into a battery

Directly on the terminals ▪ Sensor can be placed across each terminal ▪ Held in place with a putty, tape, or

  • ther non-conductive material

Using a pre-made “pad” design ▪ Sensor is fabricated into electrically non-conductive sheet ▪ Pattern ensures proper placement ▪ Simplifies installation

Fiber Path

Fiber Sensor path covering every terminal on a module

Pre-fabricated sheet integrated into a simulated battery module

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SLIDE 21

Battery Fault Monitoring: Temperature

Cell 1

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SLIDE 22

Battery Fault Monitoring: Strain

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SLIDE 23

Design and Evaluation of a 1000V Li-Ion Battery

High voltage energy storage Understand the safety and reliability challenges 1000 VDC lithium-ion cell battery at University of Texas Arlington, instrumented with a single fiber sensor During installation, the location of each terminal throughout the 280S/1P battery was saved as a location of interest Monitor the controlled cycling of the battery to characterize its performance

A single 10S/1P LI module 1000 VDC LFP-LI battery

Dodson, David A.; Wetz, David A.; Sanchez, Jacob L.; Gnegy-Davidson, Clint; Martin, Matthew J.; Adams, Blake; Johnston, Alexander; Heinzel, John; Cummings, Steve; Frank, Nick; Rahim, Nur Aida Abdul; Davis, Matthew, Design and Evaluation of a 1000 V Lithium-Ion Battery. Naval Engineers Journal, Volume 131, Number 3, 1 September 2019, pp. 107-119(13)

Fiber Sensor path covering every terminal on a module

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SLIDE 24

Design and Evaluation of a 1000v Li-Ion Battery

Dodson, David A.; Wetz, David A.; Sanchez, Jacob L.; Gnegy-Davidson, Clint; Martin, Matthew J.; Adams, Blake; Johnston, Alexander; Heinzel, John; Cummings, Steve; Frank, Nick; Rahim, Nur Aida Abdul; Davis, Matthew, Design and Evaluation of a 1000 V Lithium-Ion

  • Battery. Naval Engineers Journal, Volume 131, Number 3, 1 September 2019, pp. 107-119(13)

Surface plots of Module 8 and 13

Individual cell temperatures

250kW discharge, 5s ON/1s OFF pulsed profile Temperature increase of each cell is similar Module 13 cell temperatures vary widely: 45ºC to 75ºC Possible reasons: ▪ Higher ohmic contact resistance between the cell terminal and the bus bar interconnecting series cells ▪ Poor thermal contact at the cell terminals If higher ohmic loss, this location needs to be assessed more carefully prior to use When this type of thermal resolution is not captured, these potential issues of concern are never identified

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SLIDE 25

“What if?” Application

Could the time to full charge be reduced if every cell temperature was monitored? Would battery life be increased if the control method took into account cell temperature when charging?

https://hawaiienergy.com/for-businesses/incentives/electric-vehicle-charging-stations

Envision an electric vehicle which has a sensor integrated into its battery and that sensor is used to monitor battery temperature during charging. Data is provided to the charging station enabling active control of the charge rate.

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SLIDE 26

Summary

Introduced two ways of using optical fiber to make strain and temperature measurements ▪ Fiber Bragg Gratings ▪ OFDR Demonstrated the benefits of using this technology for battery development and in- service monitoring ▪ High spatial density ▪ Safe and non-intrusive ▪ Enables a measurement from every cell Showed how to integrate the sensors into a battery system

Bye Aerospace Volvo XC40 SUV

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SLIDE 27

HD-FOS Addresses Key Challenges in Aerospace & Automotive

FEA Model Verification

  • Calibrate/verify model
  • Measure complex

geometries

  • Comprehensive structural

test data

  • More complete strain

data Additive Manufacturing & Molds

  • Residual strain in 3D

printed parts

  • Part warping from

printing process

  • Composite mold

performance

  • Injection mold part finish

Structural Testing

  • Composite damage

detection

  • Crack propagation
  • Structural integrity

monitoring

  • Embedded sensing for

life cycle mgt. Manufacturing Processes

  • Real-time thermal or

strain mapping

  • Curing temperature
  • Weld temperature

Material Joining & Welding

  • Verify adhesive

performance

  • CTE mismatch effects
  • Weld quality
  • Weld temperature
  • Post process residual

strain

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SLIDE 28

Acknowledgements

  • Dr. David Wetz and team

Director, Pulsed Power & Energy Lab Electrical Engineering Department University of Texas Arlington Contact: ▪ Aida Rahim, rahima@lunainc.com ▪ David Potter, potterd@lunainc.com, Marketing Director

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SLIDE 29

QUESTIONS