面向智能化管理的数字孪生电池构建方法

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。 

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

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.