4.5 Article

The prismatic surface cell cooling coefficient: A novel cell design optimisation tool & thermal parameterization method for a 3D discretised electro-thermal equivalent-circuit model

Journal

ETRANSPORTATION
Volume 7, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.etran.2020.100099

Keywords

Lithium-ion battery; Electric vehicle; Prismatic surface cell cooling coefficient; 3D discretised electro-thermal equivalent-circuit model; Cell design; Lithium iron phosphate

Funding

  1. Envision-AESC, Ltd.
  2. Faraday Institution [EP/S003053/1, FIRG00]
  3. EPSRC [EP/S003053/1] Funding Source: UKRI

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The study introduces the application of CCC to prismatic lithium iron phosphate cells and develops a three-dimensional electro-thermal equivalent circuit model for optimizing cell and pack design.
Thermal management of large format prismatic lithium ion batteries is challenging due to significant heat generation rates, long thermal 'distances' from the core to the surfaces and subsequent thermal gradients across the cell. The cell cooling coefficient (CCC) has been previously introduced to quantify how easy or hard it is to thermally manage a cell. Here we introduce its application to prismatic cells with a 90 Ah prismatic lithium iron phosphate cell with aluminium alloy casing. Further, a parameterised and discretised three-dimensional electro-thermal equivalent circuit model is developed in a commercially available software environment. The model is thermally and electrically validated experimentally against data including drive cycle noisy load and constant current CCC square wave load, with particular attention paid to the thermal boundary conditions. A quantitative study of the trade-off between cell energy density and surface CCC, and into casing material selection has been conducted here. The CCC enables comparison between cells, and the model enables a cell manufacturer to optimise the cell design and a systems developer to optimise the pack design. We recommend this is operated together holistically. This paper offers a cost-effective, time-efficient, convenient and quantitative way to achieve better and safer battery designs for multiple applications. (C) 2020 Elsevier B.V. All rights reserved.

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