Battery material
Research Papers

Non-destructive electrode potential and open-circuit voltage aging estimation for lithium-ion batteries

In this publication we extend a state-of-the-art electrode open circuit potential model for blend electrodes and inhomogeneous lithiation. We introduce a bi-level optimization algorithm to estimate the open parameters of the electrode model using measurements conducted on the full-cell level with state-of-the-art testing equipment.

from TWAICE
Download the content

twaicetech

TWAICE helped me to learn more about: Non-destructive electrode potential and open-circuit voltage aging estimation for lithium-ion batteries read article here:

www.twaice.com/research/non-destructive-electrode-potential-and-open-circuit-voltage-aging-estimation-for-lithium-ion-batteries

#thinktwaice

Non-destructive electrode potential and open-circuit voltage aging estimation for lithium-ion batteries

Authors: Cedric Kirst, Alexander Karger, Jan Singer, Andreas Jossen

Highlights

  • Physical motivated model for blend electrodes and inhomogeneous lithiation
  • Non-destructive estimation of electrode potential curves
  • Validation on commercial LFP-C, NMC-SiC and NCA-SiC Li-ion cells
  • Novel non-destructive degradation mode analysis
  • Achievement of model-based fitting voltage RMSE < 6 mV over lifetime

In this publication we extend a state-of-the-art electrode open circuit potential model for blend electrodes and inhomogeneous lithiation. We introduce a bi-level optimization algorithm to estimate the open parameters of the electrode model using measurements conducted on the full-cell level with state-of-the-art testing equipment.

As input for the optimization algorithm, we use data from a pseudo open-circuit voltage aging study to estimate the electrode potential curves, the electrode capacities, and the capacity of cyclable lithium over lifetime without opening the cell. We validate our method against measurements on commercial lithium-ion cells with the electrode materials LFP-C, NMC-SiC and NCA-SiC, and compare the estimated electrode pseudo open-circuit potential curves to measurements conducted on harvested half-cells.

We conclude that the presented non-destructive method of half-cell open-circuit potential modeling offers an alternative to complex cell disassembly and electrode material harvesting for degradation mode analysis.

Access the paper here.

Featured Resources · On-DEmand Webinar

Mastering EV Battery Aging: Prevent Fires and Lithium Plating

Join our webinar on avoiding battery fires and non-linear aging with the new anode-potential model for faster, safer charging and improved battery lifespan.

Watch recording

Related Resources

BESS failure analysis
RESEARCH PAPER

Insights from EPRI's BESS failure incident database

This report is intended to address the failure mode analysis gap by developing a classification system that is practical for both technical and non-technical stakeholders.
Battery development
RESEARCH PAPER

Mechanistic cycle aging model for the open-circuit voltage curve of lithium-ion batteries

Cycling lithium-ion batteries causes capacity fade, but also changes the shape of the open-circuit voltage (OCV) curve, due to loss of active material (LAM) and loss of lithium inventory (LLI). To model this change, we recently proposed a novel empirical calendar aging model that is parameterized on component states of health (s) instead of capacity fade only.
Battery material
RESEARCH PAPER

Mechanistic calendar aging model for lithium-ion batteries

In this work we present a novel mechanistic calendar aging model for a commercial lithium-ion cell with NCA cathode and silicon-graphite anode. The mechanistic calendar aging model is a semi-empirical aging model that is parameterized on component states of health, instead of capacity.