Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance
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...
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Online Access: | https://www.mdpi.com/1996-1073/10/9/1278 |
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doaj-657f2024785e48c88a70c1c18f58d4a82020-11-24T23:55:15ZengMDPI AGEnergies1996-10732017-08-01109127810.3390/en10091278en10091278Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of VarianceElham Hosseinzadeh0James Marco1Paul Jennings2Warwick Manufacturing Group, International Digital Laboratory, University of Warwick, Coventry CV4 7AL, UKWarwick Manufacturing Group, International Digital Laboratory, University of Warwick, Coventry CV4 7AL, UKWarwick Manufacturing Group, International Digital Laboratory, University of Warwick, Coventry CV4 7AL, UKA 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 ( ε 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 μm; ε 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 (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 ( L p o s < 30 μm); with high porosity and high C-rate (5 C).https://www.mdpi.com/1996-1073/10/9/1278analysis of variance (ANOVA)design optimisationlithium ion batterynumerical modelling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elham Hosseinzadeh James Marco Paul Jennings |
spellingShingle |
Elham Hosseinzadeh James Marco Paul Jennings Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance Energies analysis of variance (ANOVA) design optimisation lithium ion battery numerical modelling |
author_facet |
Elham Hosseinzadeh James Marco Paul Jennings |
author_sort |
Elham Hosseinzadeh |
title |
Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance |
title_short |
Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance |
title_full |
Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance |
title_fullStr |
Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance |
title_full_unstemmed |
Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance |
title_sort |
electrochemical-thermal modelling and optimisation of lithium-ion battery design parameters using analysis of variance |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2017-08-01 |
description |
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 ( ε 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 μm; ε 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 (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 ( L p o s < 30 μm); with high porosity and high C-rate (5 C). |
topic |
analysis of variance (ANOVA) design optimisation lithium ion battery numerical modelling |
url |
https://www.mdpi.com/1996-1073/10/9/1278 |
work_keys_str_mv |
AT elhamhosseinzadeh electrochemicalthermalmodellingandoptimisationoflithiumionbatterydesignparametersusinganalysisofvariance AT jamesmarco electrochemicalthermalmodellingandoptimisationoflithiumionbatterydesignparametersusinganalysisofvariance AT pauljennings electrochemicalthermalmodellingandoptimisationoflithiumionbatterydesignparametersusinganalysisofvariance |
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