协同仿真算法研究综述  

A Review of Co-simulation Algorithm

作　　者：李浦[1] 逯代兴 LI Pu;LU Daixing(School of Energy and Power Engineering,Xi’an Jiao Tong University,Xi’an 710049;School of Mechanical Engineering,Shanghai Institute of Technology,Shanghai 201418;IMIS Research Center,Yangtze Delta Region Institute of Tsinghua University,Zhejiang Jiaxing 314006)

机构地区：[1]西安交通大学能源与动力工程学院,西安710049 [2]上海应用技术大学机械工程学院,上海201418 [3]浙江清华长三角研究院智能制造工业软件研究中心,嘉兴314006

出　　处：《机械工程学报》2024年第19期172-186,共15页Journal of Mechanical Engineering

基　　金：国家自然科学基金(12372058);陕西省自然科学基金(2019-JQ-611);上海市科委地方高校能力建设(21010504000)资助项目。

摘　　要：协同仿真算法近年来广泛用于数字孪生-多物理域耦合分析以及复杂大规模动力学系统并行计算。相比传统强耦合分析,具有模块化、智能化和非侵入高效计算等优点。随着智能制造发展和工业互联网深度融合,基于协同仿真算法的数据接口和计算平台迅速发展。由于多物理域模型刚度、精度需求和数值特性的差异,协同仿真算法数值稳定性一直是制约其应用的瓶颈问题。首先,介绍了协同仿真算法的基本概念、分类和耦合模型。然后,分别讨论了界面变量插值引入的数值稳定性问题,并汇总了协同仿真增稳技术、局部误差分析和宏观时间步长控制方法。其次,总结了协同仿真算法在综合能源系统、动力学系统和数字孪生技术中的应用和算法平台。最后,面向未来高效高稳定性协同仿真算法,对协同仿真算法研究和应用方面进行了总结和展望。The co-simulation algorithm has been widely used in digital twin,multi-physics domain coupling analysis and parallel computing of complex large-scale dynamic systems.Compared with traditional strongly coupled analysis,it has the advantages of modularity,intelligence,non-intrusive and efficient calculation.With the development of intelligent manufacturing and the deep integration of the industrial Internet,data interfaces and computing platforms based on co-simulation algorithms have developed rapidly.Due to the differences in stiffness,accuracy requirements and numerical characteristics of multi-physics domain models,the numerical stability of co-simulation algorithms has always been a bottleneck restricting their application.First,the basic concepts,classification and coupling models of co-simulation algorithms are introduced.Then,the numerical stability issues introduced by interface variable interpolation are discussed respectively,and the co-simulation stabilization techniques,local error analysis and macro-time step control methods are summarized.Next,the application and algorithm platform of co-simulation algorithms in integrated energy systems,dynamic systems and digital twin technology are summarized.Finally,facing the future of efficient and high-stability co-simulation algorithms,the research and application of co-simulation algorithms are summarized and prospected.

关 键 词：协同仿真算法 数值特性 弱耦合 算法平台 

分 类 号：TG156[金属学及工艺—热处理]