Geometry Optimization of Porous Electrode for Lithium-Ion Batteries. (25th June 2020)

• Record Type: Journal Article
• Authors: Deng, Changyu; Lu, Wei
• Is Part Of: ECS transactions. Volume 97:Number 7(2020)
• Page Start: 249
• Page End: 254
• Publication Date: 2020-06-25
• Subjects: Electrochemistry -- Periodicals; Electrochemistry; Periodicals; Electronic journals; Electronic journal; 541.37
• DOI: 10.1149/09707.0249ecst
• Languages: English
• ISSNs: 1938-5862

Abstract

Abstract : We report a method to optimize the topology of porous electrodes without a prior assumption of the pattern. We take a two-dimensional NMC-Li cell as an example. The domain of NMC is discretized by a 5×5 mesh and the solid volume fraction is represented by 25 nodal variables. We use a deep-learning-boosted optimization algorithm to find the optimal material distribution that gives the maximum specific energy. The method produces an electrode pattern with 18% higher specific energy than that of a uniform electrode. This generic geometry optimization approach provides a powerful tool for the design and optimization of porous electrodes.