{"title":"非均质锂离子电池模型仿真中多域多物理场耦合的挑战及数值解决方案","authors":"Qiyu Chen , Lance Zhao , Xinhong (Susan) Chen , Zhe Li","doi":"10.1016/j.etran.2025.100452","DOIUrl":null,"url":null,"abstract":"<div><div>In electrochemistry, the heterogeneous model effectively characterizes the microstructural features of porous electrodes by distinctly resolving both solid and liquid phases with respective spatial distributions and interfacial interfaces. The model incorporates essential characteristics including particle size distributions and non-uniform porosity, enabling spatiotemporal representation of coupled physicochemical processes. However, modeling and numerically solving the heterogeneous model presents significant challenges. This study introduces computational solutions to critical challenges in heterogeneous lithium-ion battery simulation. (1) Distinct material phases occupy spatially resolved domains, with various phenomena occurring either bulk phases or interfaces. We develop domain decomposition/combination strategy with morphology-specific approaches. (2) Regions with similar compositions may exhibit significant variations in physical properties. Our novel transfer coefficient matrix method enables global solutions for concentration equations across interfaces with varying porosity. (3) Batteries represent inherently mass-charge coupled systems, where lithium-ion transport is driven by both electric potential and concentration gradients. The composite potential field method rigorously ensures flux continuity while resolving coupled transport mechanisms. We implement above methods to our self-developed simulation framework, rigorously validating accuracy against experimental measurements and COMSOL benchmarks. This work provides a fundamental theoretical foundation for both the development of next-generation ultra-high-performance batteries and the technological upgrade of industrial battery simulation software.</div></div>","PeriodicalId":36355,"journal":{"name":"Etransportation","volume":"25 ","pages":"Article 100452"},"PeriodicalIF":17.0000,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Challenges and numerical solutions for multi-domain and multi-physics coupling in heterogeneous lithium-ion battery model simulation\",\"authors\":\"Qiyu Chen , Lance Zhao , Xinhong (Susan) Chen , Zhe Li\",\"doi\":\"10.1016/j.etran.2025.100452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In electrochemistry, the heterogeneous model effectively characterizes the microstructural features of porous electrodes by distinctly resolving both solid and liquid phases with respective spatial distributions and interfacial interfaces. The model incorporates essential characteristics including particle size distributions and non-uniform porosity, enabling spatiotemporal representation of coupled physicochemical processes. However, modeling and numerically solving the heterogeneous model presents significant challenges. This study introduces computational solutions to critical challenges in heterogeneous lithium-ion battery simulation. (1) Distinct material phases occupy spatially resolved domains, with various phenomena occurring either bulk phases or interfaces. We develop domain decomposition/combination strategy with morphology-specific approaches. (2) Regions with similar compositions may exhibit significant variations in physical properties. Our novel transfer coefficient matrix method enables global solutions for concentration equations across interfaces with varying porosity. (3) Batteries represent inherently mass-charge coupled systems, where lithium-ion transport is driven by both electric potential and concentration gradients. The composite potential field method rigorously ensures flux continuity while resolving coupled transport mechanisms. We implement above methods to our self-developed simulation framework, rigorously validating accuracy against experimental measurements and COMSOL benchmarks. This work provides a fundamental theoretical foundation for both the development of next-generation ultra-high-performance batteries and the technological upgrade of industrial battery simulation software.</div></div>\",\"PeriodicalId\":36355,\"journal\":{\"name\":\"Etransportation\",\"volume\":\"25 \",\"pages\":\"Article 100452\"},\"PeriodicalIF\":17.0000,\"publicationDate\":\"2025-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Etransportation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590116825000591\",\"RegionNum\":1,\"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":"Etransportation","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590116825000591","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Challenges and numerical solutions for multi-domain and multi-physics coupling in heterogeneous lithium-ion battery model simulation
In electrochemistry, the heterogeneous model effectively characterizes the microstructural features of porous electrodes by distinctly resolving both solid and liquid phases with respective spatial distributions and interfacial interfaces. The model incorporates essential characteristics including particle size distributions and non-uniform porosity, enabling spatiotemporal representation of coupled physicochemical processes. However, modeling and numerically solving the heterogeneous model presents significant challenges. This study introduces computational solutions to critical challenges in heterogeneous lithium-ion battery simulation. (1) Distinct material phases occupy spatially resolved domains, with various phenomena occurring either bulk phases or interfaces. We develop domain decomposition/combination strategy with morphology-specific approaches. (2) Regions with similar compositions may exhibit significant variations in physical properties. Our novel transfer coefficient matrix method enables global solutions for concentration equations across interfaces with varying porosity. (3) Batteries represent inherently mass-charge coupled systems, where lithium-ion transport is driven by both electric potential and concentration gradients. The composite potential field method rigorously ensures flux continuity while resolving coupled transport mechanisms. We implement above methods to our self-developed simulation framework, rigorously validating accuracy against experimental measurements and COMSOL benchmarks. This work provides a fundamental theoretical foundation for both the development of next-generation ultra-high-performance batteries and the technological upgrade of industrial battery simulation software.
期刊介绍:
eTransportation is a scholarly journal that aims to advance knowledge in the field of electric transportation. It focuses on all modes of transportation that utilize electricity as their primary source of energy, including electric vehicles, trains, ships, and aircraft. The journal covers all stages of research, development, and testing of new technologies, systems, and devices related to electrical transportation.
The journal welcomes the use of simulation and analysis tools at the system, transport, or device level. Its primary emphasis is on the study of the electrical and electronic aspects of transportation systems. However, it also considers research on mechanical parts or subsystems of vehicles if there is a clear interaction with electrical or electronic equipment.
Please note that this journal excludes other aspects such as sociological, political, regulatory, or environmental factors from its scope.