基于数字孪生的锂离子电池管理系统设计分析*

Design and Analysis of Lithium-ion Battery Management System Based on Digital Twin

  • 摘要: 科学可靠的电池管理系统是锂离子电池储能系统安全高效应用的关键。传统的电池管理系统存在计算资源少、数据处理能力弱等问题,使得智能管控算法和高仿真度模型的应用具有局限性。以信息物理一体化为特征的数字孪生技术为电池管理系统的发展带来新的契机,通过建立与电池物理实体相互映射的数字孪生体,虚实交互反馈、机理与数据融合,实现智能电池管理系统的开发。系统性介绍数字孪生的技术体系及其功能,包含数据保障层、建模计算层、功能应用层和人机交互层等;分析了电池数字孪生体构建中的模型建模、数据与机理模型融合等重点技术。在此基础上,阐明了基于数字孪生的锂离子电池管理系统的设计框架,旨在为构建智能管理系统的研究提供指导与参考。

     

    Abstract: Scientific and reliable battery management system(BMS) is the key to the safe and efficient application of lithium-ion battery energy storage system. Traditional BMSs have few computing resources and weak data processing ability, which limit the application of intelligent management and control algorithms and high-fidelity models. Characterized by the integration of information and physics, the digital twin brings a new opportunity for the development of BMSs. By establishing a digital twin mapping with the battery physical entity, the development of intelligent battery management system can be realized through the interactive feedback of virtuality and reality and the fusion of mechanism and data. Technical system and functions of digital twin, including data support layer, modeling and computing layer, functional application layer, and human-computer interaction layer are systematically introduced. The key technologies such as model modeling, data and mechanism model fusion in battery digital twin construction are analyzed. On this basis, the design framework of lithium-ion BMS based on the digital twin technology is clarified, aiming to provide the guidance and reference for the research of building intelligent management system.

     

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