Inverse Heat Transfer Analysis Method to Determine the Entropic Coefficient of Reversible Heat in Lithium-Ion Battery

An entropic coefficient of reversible entropic heat is a key parameter in determining the battery thermal responses, but its measurement is challenging due to time consuming and inaccurate traditional methods. In this regard, an analytical approach based on the inverse heat transfer problem is newly...

Full description

Saved in:
Bibliographic Details
Published in:International journal of energy research 2023-02, Vol.2023, p.1-18
Main Authors: Han, Ukmin, Choi, Hongseok, Lee, Hyoseong, Lee, Hoseong
Format: Article
Language:English
Subjects:
Accuracy
Aging
Ambient temperature
Coefficients
Dynamic loads
Energy storage
Experimental methods
Heat
Heat transfer
Least squares method
Lithium
Lithium-ion batteries
Mathematical analysis
Methods
Rechargeable batteries
Research methodology
Wavelet transforms
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:An entropic coefficient of reversible entropic heat is a key parameter in determining the battery thermal responses, but its measurement is challenging due to time consuming and inaccurate traditional methods. In this regard, an analytical approach based on the inverse heat transfer problem is newly proposed to precisely determine the entropic coefficient with low experiment cost. Experiments are conducted by discharging the battery under four different current rates to inversely estimate the entropic coefficients, and the least squares regression are conducted to optimize the derived entropic coefficients. Through the comparison with the existing potentiometric method, the experimental time can be reduced by 93.7%. Furthermore, the accuracy of the proposed method is well verified by validating within the root mean square error of 0.848°C by comparing with the experimental results. Through the validation processes under various operating conditions, such as low to high current rates, charging process, dynamic loads, and different ambient temperatures, the proposed method is proven over temperatures ranging from 10°C to 60°C. Conclusively, the proposed method can be a great alternative to replace the classical experimental methods.
ISSN:0363-907X
1099-114X
DOI:10.1155/2023/9929496