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Article . 2018 . Peer-reviewed
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Journal of Power Sources
Article . 2018 . Peer-reviewed
License: Elsevier TDM
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Methodology to determine the heat capacity of lithium-ion cells

Authors: Thomas S. Bryden; Borislav Dimitrov; George Hilton; Carlos Ponce de León; Peter Bugryniec; Solomon Brown; Denis Cumming; +1 Authors

Methodology to determine the heat capacity of lithium-ion cells

Abstract

Abstract In this paper a novel method to determine the specific heat capacity of lithium-ion cells is proposed. The specific heat capacity is an important parameter for the thermal modelling of lithium-ion batteries and is not generally stated on cell datasheets or available from cell manufacturers. To determine the specific heat capacity can require the use of an expensive (>£100 k) calorimeter or the deconstruction of the cell whereas the method proposed by the authors in this paper uses common equipment found in most battery laboratories. The method is shown to work for cylindrical, prismatic and pouch cells, with capacities between 2.5 Ah and 10 Ah. The results are validated by determining the specific heat capacity of the cells with use of a calorimeter and a maximum error of 3.9% found. Thermal modelling of batteries is important to ensure cell temperatures are kept within specified limits. This is especially true at rates over 1C, such as the fast charging of electric vehicles, where more heat is generated than lower rate applications. The paper ends by demonstrating how the thermal model that underpins the authors' methodology can be used to model the surface temperature of the cells at C-rates greater than 1C.

Country
United Kingdom
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Keywords

621, 600, 620

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    71
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
71
Top 1%
Top 10%
Top 10%
Green
bronze