Xinan Zhou , Jing Zou , Zhiyang Cheng , Minghui Han , Hangyu Li , Cong Cheng , Sun Jin
{"title":"Dimension-performance integrated assembly analysis method considering battery module’s post-welding rebound mechanism","authors":"Xinan Zhou , Jing Zou , Zhiyang Cheng , Minghui Han , Hangyu Li , Cong Cheng , Sun Jin","doi":"10.1016/j.est.2025.116772","DOIUrl":null,"url":null,"abstract":"<div><div>Dimensional deviations in battery module length can stem from the internal forces release after the assembly process. This manuscript presents the Dimension-Performance Integrated Assembly Analysis Method, which considers both post-assembly dimensional distributions and post-service residual life. The modified Hill strain energy function is employed to characterize the hyperelastic mechanical behavior of the aerogel-based thermal insulation pads, alongside establishing a process-based model for the battery module's post-welding rebound. Furthermore, an equivalent model is introduced to compute the equilibrium positions of the compression and tension curves to ensure both precision and efficiency. The dimensional measurements validate the accuracy of the process-based model and the equivalent model, and a thorough analysis of the module's rebound mechanism sheds light on the interplay between the equivalent model parameters and the structure mechanical properties or initial dimensions. Accounting for the battery module's post-welding rebound mechanism, the Dimension-Performance Integrated Assembly Analysis Method assesses the impact of key dimensions and process parameters on target dimensional distributions and structural failure probability. This method enables the design of battery thickness tolerance band and process parameter ranges to ensure zero failure probability within the target charge-discharge cycles.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"123 ","pages":"Article 116772"},"PeriodicalIF":8.9000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of energy storage","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352152X25014859","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/25 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Dimensional deviations in battery module length can stem from the internal forces release after the assembly process. This manuscript presents the Dimension-Performance Integrated Assembly Analysis Method, which considers both post-assembly dimensional distributions and post-service residual life. The modified Hill strain energy function is employed to characterize the hyperelastic mechanical behavior of the aerogel-based thermal insulation pads, alongside establishing a process-based model for the battery module's post-welding rebound. Furthermore, an equivalent model is introduced to compute the equilibrium positions of the compression and tension curves to ensure both precision and efficiency. The dimensional measurements validate the accuracy of the process-based model and the equivalent model, and a thorough analysis of the module's rebound mechanism sheds light on the interplay between the equivalent model parameters and the structure mechanical properties or initial dimensions. Accounting for the battery module's post-welding rebound mechanism, the Dimension-Performance Integrated Assembly Analysis Method assesses the impact of key dimensions and process parameters on target dimensional distributions and structural failure probability. This method enables the design of battery thickness tolerance band and process parameter ranges to ensure zero failure probability within the target charge-discharge cycles.
期刊介绍:
Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.