基于开源CFD的锂离子电池高性能多物理场仿真框架

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS
Qiyu Chen , Lance Zhao , Xinhong Chen (Susan) , Zhe Li
{"title":"基于开源CFD的锂离子电池高性能多物理场仿真框架","authors":"Qiyu Chen ,&nbsp;Lance Zhao ,&nbsp;Xinhong Chen (Susan) ,&nbsp;Zhe Li","doi":"10.1016/j.est.2025.118263","DOIUrl":null,"url":null,"abstract":"<div><div>The development of battery design is transitioning from traditional trial-and-error method to simulation-driven forward design which significantly enhances efficiency and reduces costs. The core of this transformation lies in high-performance numerical solvers. This study develops an electrochemical-thermal parallel solver tailored for lithium-ion battery based on the OpenFOAM platform. This solver innovatively adopts the heterogeneous model, which accurately characterizes the microstructure of porous electrode and depicts multi-physical and chemical processes within the battery. The verification for the accuracy of this framework is conducted through experiment and COMSOL simulations. The predicted terminal voltage curves maintain RMSE below 50 mV with experimental data across three C-rates. Furthermore, comparative analysis reveals less than 5 % ARD in the evolution of typical physical fields when benchmarked against COMSOL. To overcome the substantial computational demands caused by multiple domains and interfaces, the solver employs a novel domain partitioning-based parallel computing strategy. By ensuring all physical fields at each spatial location remain within a single compute core, this approach significantly improves computational efficiency. The solver provides the foundation for the development of next-generation high-performance batteries and the advancement of battery industry software.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"136 ","pages":"Article 118263"},"PeriodicalIF":8.9000,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A high-performance multiphysics simulation framework based on open-source CFD for lithium-ion batteries\",\"authors\":\"Qiyu Chen ,&nbsp;Lance Zhao ,&nbsp;Xinhong Chen (Susan) ,&nbsp;Zhe Li\",\"doi\":\"10.1016/j.est.2025.118263\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The development of battery design is transitioning from traditional trial-and-error method to simulation-driven forward design which significantly enhances efficiency and reduces costs. The core of this transformation lies in high-performance numerical solvers. This study develops an electrochemical-thermal parallel solver tailored for lithium-ion battery based on the OpenFOAM platform. This solver innovatively adopts the heterogeneous model, which accurately characterizes the microstructure of porous electrode and depicts multi-physical and chemical processes within the battery. The verification for the accuracy of this framework is conducted through experiment and COMSOL simulations. The predicted terminal voltage curves maintain RMSE below 50 mV with experimental data across three C-rates. Furthermore, comparative analysis reveals less than 5 % ARD in the evolution of typical physical fields when benchmarked against COMSOL. To overcome the substantial computational demands caused by multiple domains and interfaces, the solver employs a novel domain partitioning-based parallel computing strategy. By ensuring all physical fields at each spatial location remain within a single compute core, this approach significantly improves computational efficiency. The solver provides the foundation for the development of next-generation high-performance batteries and the advancement of battery industry software.</div></div>\",\"PeriodicalId\":15942,\"journal\":{\"name\":\"Journal of energy storage\",\"volume\":\"136 \",\"pages\":\"Article 118263\"},\"PeriodicalIF\":8.9000,\"publicationDate\":\"2025-09-09\",\"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/S2352152X25029767\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of energy storage","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352152X25029767","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

电池设计的发展正在从传统的试错法向模拟驱动的正向设计过渡,这大大提高了效率,降低了成本。这种转变的核心在于高性能的数值求解器。本研究开发了一种基于OpenFOAM平台的锂离子电池电化学-热并行求解器。该求解器创新性地采用了非均质模型,准确表征了多孔电极的微观结构,描绘了电池内部的多种物理化学过程。通过实验和COMSOL仿真验证了该框架的准确性。在三种c -rate的实验数据中,预测的终端电压曲线保持RMSE低于50 mV。此外,对比分析表明,当以COMSOL为基准时,典型物理场的演化ARD小于5%。为了克服多域、多接口带来的大量计算需求,求解器采用了一种新的基于域划分的并行计算策略。通过确保每个空间位置的所有物理场都保持在单个计算核心中,这种方法显著提高了计算效率。该求解器为下一代高性能电池的开发和电池行业软件的进步提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A high-performance multiphysics simulation framework based on open-source CFD for lithium-ion batteries
The development of battery design is transitioning from traditional trial-and-error method to simulation-driven forward design which significantly enhances efficiency and reduces costs. The core of this transformation lies in high-performance numerical solvers. This study develops an electrochemical-thermal parallel solver tailored for lithium-ion battery based on the OpenFOAM platform. This solver innovatively adopts the heterogeneous model, which accurately characterizes the microstructure of porous electrode and depicts multi-physical and chemical processes within the battery. The verification for the accuracy of this framework is conducted through experiment and COMSOL simulations. The predicted terminal voltage curves maintain RMSE below 50 mV with experimental data across three C-rates. Furthermore, comparative analysis reveals less than 5 % ARD in the evolution of typical physical fields when benchmarked against COMSOL. To overcome the substantial computational demands caused by multiple domains and interfaces, the solver employs a novel domain partitioning-based parallel computing strategy. By ensuring all physical fields at each spatial location remain within a single compute core, this approach significantly improves computational efficiency. The solver provides the foundation for the development of next-generation high-performance batteries and the advancement of battery industry software.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信