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research article

Non-Parametric Estimation of Surface Temperature of Li-ion Cells using Thermal Impulse Response

Torregrossa, Dimitri  
•
Xiao, Ying
•
Fahimi, Babak
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2016
IEEE Transactions on Transportation Electrification

This paper focuses on the prediction of temperature profiles on the surface of lithium-ion cells using a non-parametric method. In particular, this paper proposes the adoption of the impulse response technique to compute and interpret cell surface temperatures through generic discharge conditions. The method requires data obtained from dedicated experiments performed on the targeted cell. In order to develop the proposed method, these experiments aim at obtaining cell surface overshoot in temperature profiles consequent to current discharge impulses that are used as reference inputs. A set of dedicated experimental validations is included in the paper to verify the accuracy of the proposed method for different state-of-health of the cell and environmental conditions. The results show an error in the temperature prediction of less than 1.8% in the entire predicted temperature subject to generic current discharge profiles as well as a negligible error on the predicted peak temperature. It is important to underline that the proposed technique does not require any knowledge of the internal structure of the targeted cell or any properties of material.

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Type
research article
DOI
10.1109/TTE.2016.2601446
Author(s)
Torregrossa, Dimitri  
Xiao, Ying
Fahimi, Babak
Paolone, Mario  
Date Issued

2016

Published in
IEEE Transactions on Transportation Electrification
Volume

2

Issue

4

Start page

407

End page

416

Subjects

Thermal modelling

•

Temperature prediction

•

Lithium-ion battery

•

Energy storage systems

•

Impulse response

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
DESL  
Available on Infoscience
September 15, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/129350
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