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Electrochemical-thermal modelling and optimisation of lithium-ion battery design parameters using analysis of variance
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Hosseinzadeh, Elham, Marco, James and Jennings, P. A. (Paul A.) (2017) Electrochemical-thermal modelling and optimisation of lithium-ion battery design parameters using analysis of variance. Energies, 10 (9). 1278. doi:10.3390/en10091278
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Official URL: http://dx.doi.org/10.3390/en10091278
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 ( rp ); electrode thickness ( Lpos ); volume fraction of the active material ( εs,pos ) 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: rp : 30–100 nm; Lpos : 20–100 μm; εs,pos : 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 (rp < 40 nm); (75 μm < Lpos < 100 μm); (0.4 < εs,pos < 0.6) and while the C-rate is below 4C. Conversely; the optimum power is achieved for a thin electrode ( Lpos < 30 μm); with high porosity and high C-rate (5 C).
| Item Type: | Journal Article | ||||||
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| Subjects: | Q Science > QA Mathematics T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) | ||||||
| Library of Congress Subject Headings (LCSH): | Lithium ion batteries -- Mathematical models, Analysis of variance | ||||||
| Journal or Publication Title: | Energies | ||||||
| Publisher: | M.D.P.I.A.G. | ||||||
| ISSN: | 1996-1073 | ||||||
| Official Date: | 28 August 2017 | ||||||
| Dates: |
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| Date of first compliant deposit: | 29 August 2017 | ||||||
| Volume: | 10 | ||||||
| Number: | 9 | ||||||
| Article Number: | 1278 | ||||||
| DOI: | 10.3390/en10091278 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access | ||||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||||
| Grant number: | ELEVATE project EP/M009394/1 |
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