基于数字孪生的锂离子电池管理系统设计分析*

doi:10.11985/2022.04.011

电气工程学报 ›› 2022, Vol. 17 ›› Issue (4): 103-112.doi: 10.11985/2022.04.011

• 特邀专栏：电化学储能系统安全管理与运维 • 上一篇下一篇

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基于数字孪生的锂离子电池管理系统设计分析^*

张宇鑫¹(), 武建华²^,³(), 郑林锋²^,³(), 叶涛¹()

1.暨南大学能源电力研究中心珠海 519070
2.暨南大学国际能源学院珠海 519070
3.暨南大学轨道交通研究院珠海 519070

收稿日期:2022-09-01 修回日期:2022-11-03 出版日期:2022-12-25 发布日期:2023-02-03
通讯作者: 郑林锋，男，1989年生，博士，副教授。主要研究方向为新能源汽车电池管理系统和电力储能系统。E-mail：lfzheng@jnu.edu.cn
作者简介:张宇鑫，男，1999年生，硕士研究生。主要研究方向为数字孪生锂电池管理系统。E-mail：zhangyuxin991024@foxmail.com
武建华，女，1963年生，博士，教授。主要研究方向为数据挖掘、人工智能及应用。E-mail：tjhwu@jnu.edu.cn
叶涛，男，1998年生，硕士研究生。主要研究方向为锂电池快速充电优化。E-mail：strong_tao@163.com
基金资助:
*国家自然科学基金(52102424);广东省基础与应用基础研究基金(2019A1515012210);珠海市基础与应用基础研究课题(ZH22017003210051PW)

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

ZHANG Yuxin¹(), WU Jianhua²^,³(), ZHENG Linfeng²^,³(), YE Tao¹()

1. Energy and Electricity Research Center, Jinan University, Zhuhai 519070
2. International Energy College, Jinan University, Zhuhai 519070
3. Institute of Rail Transportation, Jinan University, Zhuhai 519070

Received:2022-09-01 Revised:2022-11-03 Online:2022-12-25 Published:2023-02-03
Contact: ZHENG Linfeng, E-mail：lfzheng@jnu.edu.cn

摘要/Abstract

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。

关键词: 数字孪生, 锂离子电池, 电池管理系统, 电化学储能

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.

Key words: Digital twin, lithium-ion battery, battery management system, electrochemical energy storage

中图分类号:

TM912

张宇鑫, 武建华, 郑林锋, 叶涛. 基于数字孪生的锂离子电池管理系统设计分析^*[J]. 电气工程学报, 2022, 17(4): 103-112.

ZHANG Yuxin, WU Jianhua, ZHENG Linfeng, YE Tao. Design and Analysis of Lithium-ion Battery Management System Based on Digital Twin[J]. Journal of Electrical Engineering, 2022, 17(4): 103-112.

图/表 4

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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

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