面向智能化管理的数字孪生电池构建方法

杨世春; 李强伟; 周思达; 张正杰; 马源; 陈飞

doi:10.13700/j.bh.1001-5965.2022.0593

面向智能化管理的数字孪生电池构建方法

doi: 10.13700/j.bh.1001-5965.2022.0593

北京航空航天大学交通科学与工程学院, 北京 100083

基金项目:

国家自然科学基金 U1864213

详细信息

通讯作者:
陈飞, E-mail: cf2020@buaa.edu.cn

中图分类号: U469
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- 文章访问数: 1208
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- PDF下载量: 151
- 被引次数: 0
出版历程
- 收稿日期: 2022-07-07
- 录用日期: 2022-08-05
- 网络出版日期: 2022-08-12

Construction of digital twin model of lithium-ion battery for intelligent management

School of Transportation Science and Engineering, Beihang University, Beijing 100083, China

Funds:

National Natural Science Foundation of China U1864213

More Information

Corresponding author: CHEN Fei, E-mail: cf2020@buaa.edu.cn

摘要

摘要:
动力电池在长时宽温域运行时，其使用性能、寿命和安全性随时间动态演变，存在单体性能不一致、系统容量快速衰减或内部缺陷诱发的电池热失控等问题，需要全气候、全生命周期电池精准管理技术。突破智能化管理的数字孪生技术、构建数字孪生电池为提升电池管理能力带来了新的解决方案，已逐步成为行业发展趋势之一。围绕动力电池精细化管理技术发展趋势，针对数字孪生动力电池构建需求，从系统建模与管控需求等方面分析了数字孪生电池建模的基本准则，系统性阐述多维度、多尺度、多物理场融合的数字孪生电池的构建方法，并结合团队前期研究分析了某电池数字孪生的实践案例，探索了数字孪生电池在生产设计、全生命周期管理等场景下的应用可能性，为电池管理技术发展提供思路与参考。
- 新能源汽车 /
- 动力电池 /
- 数字孪生 /
- 电池模型 /
- 电池管理
Abstract:
To achieve peak carbon and carbon neutral goals, the development of electric cars has become strategically important. It is necessary to have precise battery management technology because the lifespan and safety of power batteries change dynamically as they are used. This leads to rapid capacity degradation brought on by the inconsistent performance of single cells and thermal runaway brought on by short board batteries or internal defects. New battery management capabilities have been made possible by the development of the digital twin model, which is now one of the technical trends in the industry. Based on the development trend of battery management technology, the article concentrates on the analysis of basic principles of battery digital twin modeling from the aspects of system modeling to management and control requirements. The article systematically introduces the construction method of multi-dimensional, multi-scale and multi-physical field fusion of digital twin battery. Combined with the previous research of the team, the practical case of the digital twin battery was analyzed. Finally, the application perspective of digital twin battery is discussed in production design, life cycle management and other scenarios, which provided ideas and references for the development of battery management technology.
- new energy vehicles /
- power battery /
- digital twinning /
- battery model /
- battery management system

HTML全文

图 1 数字孪生电池三大特征

Figure 1. Three main features of digital twin cell

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图 2 动力电池内部复杂副反应过程

Figure 2. Complex side reaction processes within power cell

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图 3 数字孪生模型构建6项基本准则

Figure 3. Six basic guidelines for digital twin model construction

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图 4 数字孪生模型五大步骤

Figure 4. Five steps of digital twin model

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图 5 以电化学模型为基础的数字孪生电池

Figure 5. Digital twin cell based on electrochemical model

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图 6 数字孪生与智能化电池管理应用

Figure 6. Digital twin and intelligent battery management applications

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