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Title: Battery Capacity Fading Estimation Using a Force-Based Incremental Capacity Analysis

Abstract

Traditionally health monitoring techniques in lithium-ion batteries rely on voltage and current measurements. A novel method of using a mechanical rather than electrical signal in the incremental capacity analysis (ICA) method is introduced in this paper. This method derives the incremental capacity curves based onmeasured force (ICF) instead of voltage (ICV). The force ismeasured on the surface of a cell under compression in a fixture that replicates a battery pack assembly and preloading. The analysis is performed on data collected from cycling encased prismatic Lithium-ion Nickel-Manganese-Cobalt Oxide (NMC) cells. For the NMC chemistry, the ICF method can complement or replace the ICV method for the following reasons. The identified ICV peaks are centered around 40% of state of charge (SOC) while the peaks of the ICF method are centered around 70% of SOC indicating that the ICF can be used more often because it is more likely that an electric vehicle (EV) or a plug-in hybrid electric vehicle (PHEV) will traverse the 70% SOC range than the 40% SOC. In addition the Signal to Noise ratio (SNR) of the force signal is four times larger than the voltage signal using laboratory grade sensors. The proposed ICF method is shown tomore » achieve 0.42% accuracy in capacity estimation during a low C-rate constant current discharge. Future work will investigate the application of the capacity estimation technique under charging and operation under high C-rates by addressing the transient behavior of force so that an online methodology for capacity estimation is developed.« less

Authors:
 [1];  [2];  [1];  [1]
  1. Univ. of Michigan, Ann Arbor, MI (United States). Department of Mechanical Engineering
  2. Southwest Research Institute, Ann Arbor, MI (United States). Ann Arbor Technical Center
Publication Date:
Research Org.:
General Electric Company, Boston, MA (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1437279
Grant/Contract Number:  
AR0000269
Resource Type:
Accepted Manuscript
Journal Name:
Journal of the Electrochemical Society
Additional Journal Information:
Journal Volume: 163; Journal Issue: 8; Journal ID: ISSN 0013-4651
Publisher:
The Electrochemical Society
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; 25 ENERGY STORAGE; Capacity estimation; Force; Incremental capacity analysis; State of health; Stress

Citation Formats

Samad, Nassim A., Kim, Youngki, Siegel, Jason B., and Stefanopoulou, Anna G. Battery Capacity Fading Estimation Using a Force-Based Incremental Capacity Analysis. United States: N. p., 2016. Web. doi:10.1149/2.0511608jes.
Samad, Nassim A., Kim, Youngki, Siegel, Jason B., & Stefanopoulou, Anna G. Battery Capacity Fading Estimation Using a Force-Based Incremental Capacity Analysis. United States. doi:10.1149/2.0511608jes.
Samad, Nassim A., Kim, Youngki, Siegel, Jason B., and Stefanopoulou, Anna G. Fri . "Battery Capacity Fading Estimation Using a Force-Based Incremental Capacity Analysis". United States. doi:10.1149/2.0511608jes. https://www.osti.gov/servlets/purl/1437279.
@article{osti_1437279,
title = {Battery Capacity Fading Estimation Using a Force-Based Incremental Capacity Analysis},
author = {Samad, Nassim A. and Kim, Youngki and Siegel, Jason B. and Stefanopoulou, Anna G.},
abstractNote = {Traditionally health monitoring techniques in lithium-ion batteries rely on voltage and current measurements. A novel method of using a mechanical rather than electrical signal in the incremental capacity analysis (ICA) method is introduced in this paper. This method derives the incremental capacity curves based onmeasured force (ICF) instead of voltage (ICV). The force ismeasured on the surface of a cell under compression in a fixture that replicates a battery pack assembly and preloading. The analysis is performed on data collected from cycling encased prismatic Lithium-ion Nickel-Manganese-Cobalt Oxide (NMC) cells. For the NMC chemistry, the ICF method can complement or replace the ICV method for the following reasons. The identified ICV peaks are centered around 40% of state of charge (SOC) while the peaks of the ICF method are centered around 70% of SOC indicating that the ICF can be used more often because it is more likely that an electric vehicle (EV) or a plug-in hybrid electric vehicle (PHEV) will traverse the 70% SOC range than the 40% SOC. In addition the Signal to Noise ratio (SNR) of the force signal is four times larger than the voltage signal using laboratory grade sensors. The proposed ICF method is shown to achieve 0.42% accuracy in capacity estimation during a low C-rate constant current discharge. Future work will investigate the application of the capacity estimation technique under charging and operation under high C-rates by addressing the transient behavior of force so that an online methodology for capacity estimation is developed.},
doi = {10.1149/2.0511608jes},
journal = {Journal of the Electrochemical Society},
number = 8,
volume = 163,
place = {United States},
year = {2016},
month = {5}
}

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Cited by: 13 works
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Works referenced in this record:

Main aging mechanisms in Li ion batteries
journal, August 2005


Stress evolution and capacity fade in constrained lithium-ion pouch cells
journal, January 2014


Online estimation of internal resistance and open-circuit voltage of lithium-ion batteries in electric vehicles
journal, April 2011


Stress generation and fracture in lithium insertion materials
journal, March 2006


Battery Cycle Life Prediction with Coupled Chemical Degradation and Fatigue Mechanics
journal, January 2012

  • Deshpande, Rutooj; Verbrugge, Mark; Cheng, Yang-Tse
  • Journal of The Electrochemical Society, Vol. 159, Issue 10
  • DOI: 10.1149/2.049210jes

Identifying battery aging mechanisms in large format Li ion cells
journal, April 2011


Incremental Capacity Analysis and Close-to-Equilibrium OCV Measurements to Quantify Capacity Fade in Commercial Rechargeable Lithium Batteries
journal, January 2006

  • Dubarry, Matthieu; Svoboda, Vojtech; Hwu, Ruey
  • Electrochemical and Solid-State Letters, Vol. 9, Issue 10
  • DOI: 10.1149/1.2221767

Behavior and state-of-health monitoring of Li-ion batteries using impedance spectroscopy and recurrent neural networks
journal, November 2012

  • Eddahech, Akram; Briat, Olivier; Bertrand, Nicolas
  • International Journal of Electrical Power & Energy Systems, Vol. 42, Issue 1
  • DOI: 10.1016/j.ijepes.2012.04.050

Determination of lithium-ion battery state-of-health based on constant-voltage charge phase
journal, July 2014


Using probability density function to evaluate the state of health of lithium-ion batteries
journal, June 2013


Optimal Experimental Design for Modeling Battery Degradation
conference, October 2012

  • Forman, Joel C.; Moura, Scott J.; Stein, Jeffrey L.
  • ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference, Volume 1: Adaptive Control; Advanced Vehicle Propulsion Systems; Aerospace Systems; Autonomous Systems; Battery Modeling; Biochemical Systems; Control Over Networks; Control Systems Design; Cooperativ
  • DOI: 10.1115/DSCC2012-MOVIC2012-8751

A comparative study of commercial lithium ion battery cycle life in electric vehicle: Capacity loss estimation
journal, December 2014


A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification
journal, April 2014


Optimal power management for a series hybrid electric vehicle cognizant of battery mechanical effects
conference, June 2014


Model-Based SEI Layer Growth and Capacity Fade Analysis for EV and PHEV Batteries and Drive Cycles
journal, January 2014

  • Lawder, Matthew T.; Northrop, Paul W. C.; Subramanian, Venkat R.
  • Journal of The Electrochemical Society, Vol. 161, Issue 14
  • DOI: 10.1149/2.1161412jes

Online Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring
journal, September 2013

  • Xinfan Lin, ; Perez, Hector E.; Siegel, Jason B.
  • IEEE Transactions on Control Systems Technology, Vol. 21, Issue 5
  • DOI: 10.1109/TCST.2012.2217143

A Phenomenological Model of Bulk Force in a Li-Ion Battery Pack and Its Application to State of Charge Estimation
journal, January 2014

  • Mohan, Shankar; Kim, Youngki; Siegel, Jason B.
  • Journal of The Electrochemical Society, Vol. 161, Issue 14
  • DOI: 10.1149/2.0841414jes

On Improving Battery State of Charge Estimation Using Bulk Force Measurements
conference, January 2016

  • Mohan, Shankar; Kim, Youngki; Stefanopoulou, Anna G.
  • ASME 2015 Dynamic Systems and Control Conference, Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems
  • DOI: 10.1115/DSCC2015-9966

A novel thermal swelling model for a rechargeable lithium-ion battery cell
journal, January 2016


Phenomenological force and swelling models for rechargeable lithium-ion battery cells
journal, April 2016


Rate dependence of swelling in lithium-ion cells
journal, December 2014


The role of mechanically induced separator creep in lithium-ion battery capacity fade
journal, October 2011


State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation
journal, June 2011


Theoretical Analysis of Stresses in a Lithium Ion Cell
journal, January 2010

  • Renganathan, Sindhuja; Sikha, Godfrey; Santhanagopalan, Shriram
  • Journal of The Electrochemical Society, Vol. 157, Issue 2
  • DOI: 10.1149/1.3261809

Observability analysis for surface sensor location in encased battery cells
conference, July 2015

  • Samad, Nassim A.; Siegel, Jason B.; Stefanopoulou, Anna G.
  • 2015 American Control Conference (ACC)
  • DOI: 10.1109/ACC.2015.7170752

Influence of Battery Downsizing and SOC Operating Window on Battery Pack Performance in a Hybrid Electric Vehicle
conference, October 2015

  • Samad, Nassim A.; Kim, Youngki; Siegel, Jason B.
  • 2015 IEEE Vehicle Power and Propulsion Conference (VPPC)
  • DOI: 10.1109/VPPC.2015.7352966

Aging of lithium-ion batteries
journal, March 2004


Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
journal, July 1964

  • Savitzky, Abraham.; Golay, M. J. E.
  • Analytical Chemistry, Vol. 36, Issue 8
  • DOI: 10.1021/ac60214a047

Strain Derivatives for Practical Charge Rate Characterization of Lithium Ion Electrodes
journal, December 2015

  • Schiffer, Zachary J.; Cannarella, John; Arnold, Craig B.
  • Journal of The Electrochemical Society, Vol. 163, Issue 3
  • DOI: 10.1149/2.0091603jes

Characterizing aging effects of lithium ion batteries by impedance spectroscopy
journal, January 2006


Ageing mechanisms in lithium-ion batteries
journal, September 2005


On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression
journal, August 2013


Diffusion induced stress in layered Li-ion battery electrode plates
journal, July 2012


Numerical Simulation of Intercalation-Induced Stress in Li-Ion Battery Electrode Particles
journal, January 2007

  • Zhang, Xiangchun; Shyy, Wei; Marie Sastry, Ann
  • Journal of The Electrochemical Society, Vol. 154, Issue 10
  • DOI: 10.1149/1.2759840

    Works referencing / citing this record:

    Fabrication of Multimeasurand Sensor for Monitoring of a Li-Ion Battery
    journal, May 2018

    • Knobloch, Aaron; Kapusta, Chris; Karp, Jason
    • Journal of Electronic Packaging, Vol. 140, Issue 3
    • DOI: 10.1115/1.4039861

    Battery State of Health Monitoring by Estimation of Side Reaction Current Density Via Retrospective-Cost Subsystem Identification
    journal, June 2017

    • Zhou, Xin; Bernstein, Dennis S.; Stein, Jeffrey L.
    • Journal of Dynamic Systems, Measurement, and Control, Vol. 139, Issue 9
    • DOI: 10.1115/1.4036030

    Non-Destructive Detection of Local Aging in Lithium-Ion Pouch Cells by Multi-Directional Laser Scanning
    journal, January 2017

    • Sturm, Johannes; Spingler, F. B.; Rieger, B.
    • Journal of The Electrochemical Society, Vol. 164, Issue 7
    • DOI: 10.1149/2.0161707jes

    Battery State of Health Monitoring by Estimation of Side Reaction Current Density Via Retrospective-Cost Subsystem Identification
    journal, June 2017

    • Zhou, Xin; Bernstein, Dennis S.; Stein, Jeffrey L.
    • Journal of Dynamic Systems, Measurement, and Control, Vol. 139, Issue 9
    • DOI: 10.1115/1.4036030

    Fabrication of Multimeasurand Sensor for Monitoring of a Li-Ion Battery
    journal, May 2018

    • Knobloch, Aaron; Kapusta, Chris; Karp, Jason
    • Journal of Electronic Packaging, Vol. 140, Issue 3
    • DOI: 10.1115/1.4039861

    Non-Destructive Detection of Local Aging in Lithium-Ion Pouch Cells by Multi-Directional Laser Scanning
    journal, January 2017

    • Sturm, Johannes; Spingler, F. B.; Rieger, B.
    • Journal of The Electrochemical Society, Vol. 164, Issue 7
    • DOI: 10.1149/2.0161707jes