Parameterization of a Physico-Chemical Model of a Lithium-Ion Battery II. Model Validation

By Madeleine Ecker, S. Käbitz, I. Laresgoiti, Dirk Uwe Sauer. 2015

158 citations recorded by the source corpus.

To draw reliable conclusions about the internal state of a lithium-ion battery or about ageing processes using physico-chemical models, the determination of the correct set of input parameters is crucial. In the first part of this publication, the complete set of material parameters for model parameterization has been determined by experiments for a 7.5 Ah cell produced by Kokam. In this part of the publication, the measured set of parameters is incorporated into a physico-chemical model. Model results are compared to validation test results conducted on the Kokam cell. The influence of current rate and temperature is considered as well as a comparison with pulse tests is shown. It is discussed to which extent material parameters obtained by experimental investigation of laboratory coin cells can be transferred to commercial cells of the same material. The validity of physico-chemical models to describe cells is shown. © The Author(s) 2015. Published by ECS. This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives 4.0 License (CC BY-NC-ND, http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is not changed in any way and is properly cited. For permission for commercial reuse, please email: oa@electrochem.org. [DOI: 10.1149/2.0541509jes] All rights reserved.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e3929c38252355bf1d6b5217b86df24249e4f5ed

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

In Electrical and Electronic Engineering

Citations in the corpus

A continuum of physics-based lithium-ion battery models reviewed (2022, background): “Electrolyte diffusivity D̃e, ionic conductivity σ̃e and electrolyte chemical potential μe are all usually considered to be functions of the ion concentration ce and the temperature T , and must be fitted to data (see, for example, [31, 63]), though it is fairly standard to assume that electrolyte is”
The challenge and opportunity of battery lifetime prediction from field data (2021, background): “cell teardown and specialized testing equipment [92, 93] to determine a wide range of parameters such as reaction rate constants, conductivities, diffusivities, particle sizes etc.”