• Home
  • Search
  • Quantitative Life Prediction Using High Precision Coulometry with Automotive Current Rates
  • Cite Icon2
  • https://doi.org/10.1149/ma2016-01/1/214Copy DOI Icon

Quantitative Life Prediction Using High Precision Coulometry with Automotive Current Rates

Show More
  • Abstract
  • Literature Map
  • Citations
  • Similar Papers
Abstract

The experimental verification of a Lithium-ion battery for automotive life requirements utilizes significant laboratory resources and calendar time. If the amount of life testing required to validate a cell design for automotive applications can be reduced, new cell designs could be confidently implemented at lower cost and in shorter time. High precision coulometry (HPC) has recently emerged as a promising candidate for shortening the time required for validating cell life. Literature examples have demonstrated improved identification of the mechanisms causing capacity fade1 and qualitative sorting of higher performing cells2. Academic groups have pioneered this approach but have been primarily limited to testing low currents that are used to probe the rates of side reactions in calendar life scenarios. Our research focus has been the design, development and validation of a 200 A, high precision (<50 ppm current and <25 ppm voltage) battery tester in partnership with Arbin Instruments and Sandia National Laboratory, with the support of the US Department of Energy (DOE) Advanced Research Projects Agency- Energy (ARPA-E)3. The capability to perform high precision measurements at currents up to 200 A means the additional degradation brought about by high-rate cycling can be evaluated in addition to calendar assessments. Additionally, we aim to quantitatively assess performance degradation trends by linking presently measured values to future performance. Validation testing is presented using 5 Ah prismatic cells to quantify the reduction in test time that is practically achievable using high precision measurements. Continuous cycle aging using multiple current profiles and ambient temperatures is conducted with periodic reference performance tests. The mathematical relations between capacity, resistance, coulombic efficiency, and electrode endpoint slippage are leveraged to define various life prediction methods. The reference performance test measurements from both the high precision tester and standard commercial reference tester are entered as inputs into the life prediction models. Improved measurement precision can result in reduced uncertainty bands when extrapolating life metric trends into the latter stages of cell life. Enhanced measurement precision can also enable the quantification of long term trends at earlier stages of testing.

Similar Papers
  • Research Article
  • Citations36

Know when to fold ‘em: An empirical description of risk management in public research funding

  • Nov 02, 2019
  • Research Policy
  • Anna P Goldstein +1
  • Research Article
  • Citations2

Simultaneous Pursuit of Discovery and Invention in the US Department of Energy

  • Nov 01, 2017
  • SSRN Electronic Journal
  • Anna Patrice Goldstein +1
  • Research Article
  • Citations138

A framework for a hydrogen economy

  • Aug 01, 2021
  • Joule
  • Arun Majumdar +3
  • Conference Article

Making Deep Sea Mining Cleaner and Greener

  • Apr 24, 2023
  • Steven A Rizea +6
  • Research Article

Autonomy and Battery Utilization within Microgrids and Solar-Battery Applications

  • Aug 05, 2014
  • Electrochemical Society Meeting Abstracts
  • Matthew T Lawder +2
  • Research Article
  • Citations1

Generic Model Control for Lithium-Ion Batteries - II

  • Apr 15, 2017
  • ECS Meeting Abstracts
  • Manan Pathak +2
  • Research Article
  • Citations2

Recovering from Precipitation Events in Redox Flow Batteries

  • May 01, 2020
  • ECS Meeting Abstracts
  • James D Saraidaridis +3
  • Research Article

Scale-up of Metal-Supported Solid Oxide Fuel Cells

  • Nov 23, 2020
  • Electrochemical Society Meeting Abstracts
  • Emir Dogdibegovic +2
  • Research Article

ECS Student Achievement Award of the IEEE Division Integration of a 2+1D Kinetic Monte Carlo Algorithm with Continuum Models for SEI Layer Analysis of Lithium-Ion Batteries

  • Apr 01, 2014
  • Electrochemical Society Meeting Abstracts
  • Paul W C Northrop +2
  • Research Article
  • Citations6

Vibration fatigue of film cooling hole structure of Ni-based single crystal turbine blade: Failure behavior and life prediction

  • Nov 10, 2024
  • Engineering Fracture Mechanics
  • Yujie Zhao +5
  • Conference Article

How Texas Can Become the Leader in Offshore Wind in North and South America by Using New Technology and Leveraging Existing Infrastructure and Expertise

  • Apr 24, 2023
  • Steffen Allan Shelley +3
  • Supplementary Content

‘High payoff’ research receives $150m US cash boost

  • Dec 01, 2009
  • Physics World
  • Michael Banks
  • Research Article
  • Citations2

FuelCell Energy wins ARPA-E contract to develop SOFC energy storage solution

  • Jun 01, 2017
  • Fuel Cells Bulletin
  • Supplementary Content

High-risk energy plans yield low rewards

  • Oct 01, 2009
  • Physics World
  • Peter Gwynne
  • Research Article

(Invited) Challenges and Opportunities in Developing Anode Catalysts for Direct Ethanol and Ammonia Fuel Cells

  • May 01, 2019
  • Electrochemical Society Meeting Abstracts
  • Jia X Wang
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.