Charge process management of lithium-ion batteries based on digital twins: A new way to extend life

IF 3.3 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Chunhui Ji , Guang Jin , Ran Zhang
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引用次数: 0

Abstract

Effective management of the charging process is not only crucial for reducing costs and improving the efficiency of electric vehicles and renewable energy systems but also essential for enhancing the stability and safety of energy systems. Consequently, it has become a key focus in battery management system research. However, there is a contradiction between improving battery charging efficiency and extending service life, and the diversified battery use needs make this contradiction more prominent. This paper proposes a lithium-ion battery charging process management framework based on digital twin technology and Bayesian principle. A hybrid model is used to establish the digital twin of the lithium-ion battery charging state and health state. At the same time, the model evaluation reward and maturity evaluation reward are comprehensively considered in the decision-making process to improve the effectiveness of decision-making. Furthermore, the charging strategy is optimized according to the distinct characteristics of different battery life stages. The case analysis demonstrates that, compared to existing charging strategies, the proposed method effectively extends battery lifespan while meeting various battery performance requirements.
基于数字孪生的锂离子电池充电过程管理:一种延长寿命的新方法
充电过程的有效管理不仅对降低电动汽车和可再生能源系统的成本和提高效率至关重要,而且对增强能源系统的稳定性和安全性也至关重要。因此,它已成为电池管理系统研究的一个热点。然而,提高电池充电效率与延长使用寿命之间存在着矛盾,而多样化的电池使用需求使这一矛盾更加突出。提出了一种基于数字孪生技术和贝叶斯原理的锂离子电池充电过程管理框架。采用混合模型建立了锂离子电池充电状态和健康状态的数字孪生模型。同时在决策过程中综合考虑了模型评价报酬和成熟度评价报酬,提高了决策的有效性。在此基础上,针对不同电池寿命阶段的特点,对充电策略进行了优化。案例分析表明,与现有充电策略相比,该方法在满足电池各项性能要求的同时,有效延长了电池寿命。
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来源期刊
Journal of Process Control
Journal of Process Control 工程技术-工程:化工
CiteScore
7.00
自引率
11.90%
发文量
159
审稿时长
74 days
期刊介绍: This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.
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