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Thermal Modeling of the Lithium/Polymer Battery: II . Temperature Profiles in a Cell Stack

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Pals, Carolyn R., Newman, John·1995·Journal of The Electrochemical Society

Abstract

In Part I of this paper a one‐dimensional model was presented that predicted the heat‐generation rate, cell potential, and temperature of a cell as a function of time and state of charge for galvanostatic discharge. A position‐dependent per‐cell heat‐transfer coefficient was introduced to predict the temperature variation within cell stacks. In Part II we present a one‐dimensional model for predicting the temperature profile in a cell stack using heat‐generation rates calculated by isothermal discharges of the one‐cell model given in Part I . The accuracy of using heat‐generation rates from isothermal discharges to estimate heat‐generation rates during nonisothermal discharge is assessed. Calculations for heat‐transfer to the surroundings and temperature profiles for cell stacks calculated by the cell‐stack model are presented and compared to results of the one‐cell model presented in Part I . Simulation results for the system are presented for discharge at the 3 h rate applicable to electric vehicle applications.

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Metadata

Authors
Pals, C. R., & Newman, J.
Venue
Journal of The Electrochemical Society
Published
1995-10-01
Volume
142
Issue
10
Pages
3282-3288
ISSN
  • 0013-4651 (ISSN-L)
  • 1945-7111
OpenAlex
W1749833913
Cited by
206
References
0
FWCI
9.69
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Thermal Modeling of the Lithium/Polymer Battery: II . Temperature Profiles in a Cell Stack. https://app.cochat.ai/papers/10.1149/1.2049975
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Pals, C. R., & Newman, J. (1995). Thermal Modeling of the Lithium/Polymer Battery: II . Temperature Profiles in a Cell Stack. Journal of The Electrochemical Society. https://doi.org/10.1149/1.2049975

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.