Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance

Elham Hosseinzadeh, James Marco and Paul Jennings
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Elham Hosseinzadeh: Warwick Manufacturing Group, International Digital Laboratory, University of Warwick, Coventry CV4 7AL, UK
James Marco: Warwick Manufacturing Group, International Digital Laboratory, University of Warwick, Coventry CV4 7AL, UK
Paul Jennings: Warwick Manufacturing Group, International Digital Laboratory, University of Warwick, Coventry CV4 7AL, UK

Energies, 2017, vol. 10, issue 9, 1-22

Abstract: A 1D electrochemical-thermal model of an electrode pair of a lithium ion battery is developed in Comsol Multiphysics. The mathematical model is validated against the literature data for a 10 Ah lithium phosphate (LFP) pouch cell operating under 1 C to 5 C electrical load at 25 °C ambient temperature. The validated model is used to conduct statistical analysis of the most influential parameters that dictate cell performance; i.e., particle radius ( r p ); electrode thickness ( L p o s ); volume fraction of the active material ( ? s , p o s ) and C-rate; and their interaction on the two main responses; namely; specific energy and specific power. To achieve an optimised window for energy and power within the defined range of design variables; the range of variation of the variables is determined based on literature data and includes: r p : 30–100 nm; L p o s : 20–100 ?m; ? s , p o s : 0.3–0.7; C-rate: 1–5. By investigating the main effect and the interaction effect of the design variables on energy and power; it is observed that the optimum energy can be achieved when ( r p < 40 nm); (75 ?m < L pos < 100 ?m); (0.4 < ? s,pos < 0.6) and while the C-rate is below 4C. Conversely; the optimum power is achieved for a thin electrode ( L p o s < 30 ?m); with high porosity and high C-rate (5 C).

Keywords: analysis of variance (ANOVA); design optimisation; lithium ion battery; numerical modelling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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