Lithium-ion battery design optimization based on a dimensionless reduced-order electrochemical model

Adaptive particle swarm optimization; Lithium iron phosphate; Lithium-ion battery; Optimal cell design; Reduced-order electrochemical model; Sensitivity analysis; Adaptive particle swarm optimizations; Cell design; Design optimization; Electrochemical modeling; Energy density; Half cells; Particle radii; Reduced order; Civil and Structural Engineering; Modeling and Simulation; Renewable Energy, Sustainability and the Environment; Building and Construction; Fuel Technology; Energy Engineering and Power Technology; Pollution; Mechanical Engineering; Energy (all); Management, Monitoring, Policy and Law; Industrial and Manufacturing Engineering; Electrical and Electronic Engineering; General Energy

Abstract :

[en] Model-based optimal cell design is an efficient approach to maximize the energy density of lithium-ion batteries. This maximization problem is solved in this paper for a lithium iron phosphate (LFP) cell. We consider half-cells as opposed to full-cells typically considered, which are intermediate steps during battery manufacturing for electrode characterization and they are gaining popularity by themselves as lithium-metal batteries. First, a dimensionless reduced-order electrochemical model is used instead of high-order models. Second, sensitivity equations are analyzed to determine the ranking of the design parameters according to their effect on the energy density, which is often lacking in other contributions. Three parameters, namely electrode thickness, LFP particle radius and electrode cross sectional area, are shown to have the most influential effects. Third, a novel adaptive particle swarm optimization with a specific stopping criterion is used for LIB design optimization. The proposed optimization framework is tested in simulation on a LFP half-cell battery. The results show that the design optimization yields 250 Wh kg−1 for an LFP electrode of 310μm thickness, 10 nm particle radius and 2⋅10−4 m2 cross-sectional area, which is an increase of energy density of 61 Wh kg−1 with respect to an initial design proposed in the literature.

Disciplines :

Energy

Author, co-author :

Couto, Luis. D. ; Department of Control Engineering and System Analysis, Universite libre de Bruxelles, Brussels, Belgium

Charkhgard, Mohammad; Department of Control Engineering and System Analysis, Universite libre de Bruxelles, Brussels, Belgium

Karaman, Berke ; Université de Liège - ULiège > Chemical engineering

Job, Nathalie ; Université de Liège - ULiège > Department of Chemical Engineering > Ingéniérie électrochimique : matériaux et procédés pour la transformation et le stockage d'énergie

Kinnaert, Michel ; Department of Control Engineering and System Analysis, Universite libre de Bruxelles, Brussels, Belgium

Language :

English

Title :

Lithium-ion battery design optimization based on a dimensionless reduced-order electrochemical model

Publication date :

15 January 2023

Journal title :

Energy

ISSN :

0360-5442

eISSN :

1873-6785

Publisher :

Elsevier Ltd

Volume :

263

Pages :

125966

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S0360544222028523?httpAccept=text/xml

Funding text :

This work is supported by the Fonds de la Recherche Scientifique — FNRS, Belgium under grant № T.0142.20 . The first author would also like to thank the Wiener-Anspach Foundation for its financial support.

Available on ORBi :

since 05 July 2023

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