Publication

Hyperautomation Artificial Intelligence

2023 Reliability-Based Design Optimization of a Pouch Battery Module Using Gaussian Process Modeling in the Presence of Cell Swelling

본문

Journal
Structural and Multidisciplinary Optimization
Author
Hyunhee Choi, Hyejeong Son, Yong Hwan Choi, Byeng D. Youn*, and Guesuk Lee*
Date
2023-10
Citation Index
SCIE (IF: 3.6, Rank: 17.0%)
Vol./ Page
Vol. 66, pp. 227
Year
2023

Abstract


A pouch battery pack includes multi-stacked battery module structures that protect the inner pouch battery cells from external hazards and deformation that may arise due to swelling effects. Recent research has found that the stack pressure, which is the suppressing force on the battery cells inside the battery module structure, has a significant impact on the degree to which the state-of-health (SOH) degrades and amount that the mechanical properties of pouch batteries change. Consequently, it is important to optimize the battery module structure design with consideration of the SOH and the structural reliability. To identify how significantly design affect the SOH and the mechanical properties, experiments under different levels of initial stack pressure and uncertainty quantification using Gaussian process are explored in this research. Reliability-based design optimization for the pouch battery module optimize the structural design that minimizes volume while satisfying structural reliability and SOH requirements. This work suggests a data-driven approach for achieving reliability-based design using experiment. Further, this research suggests formulations to calculate the performance functions, which are significant factors for reliable design of pouch battery modules.