基于动态响应的锂离子电池多尺度模型创建和应用研究

发布时间：2018-05-04 17:48

本文选题：锂离子电池 + 多尺度模型　；参考：《中南大学》2014年硕士论文

【摘要】：摘要：由于多尺度跨越和多物理场耦合的存在,使用常规实验研究方法难以对锂离子电池系统进行快速、高效和低成本预估,造成了电池研发设计的困难。本文以2.3Ah,26650圆柱型磷酸铁锂锂离子电池为研究对象,结合材料动态参数响应的特点,开展了锂离子电池多尺度电化学模型的构建和应用研究,为锂离子电池的优化设计提供理论基础,同时推广了电化学模拟的应用领域。 1.针对目前锂离子电池体系材料种类多、多物理场作用明显而带来的电池模型参数不全或自适应性差的问题,提出了材料参数动态响应的解决方法。重点解析了电极相关动态参数、电解液相关动态参数的变化规律,并提出了材料动态响应的构建方式和作用机制。 2.基于材料参数动态响应建立了锂离子电池准二维模型,通过与实验结果相对比验证了模型的准确性。利用该模型研究了锂离子电池的脉冲放电和恒流放电行为。 3.基于材料参数动态响应建立了锂离子电池单颗粒模型。利用该模型研究了磷酸铁锂电池的性能提升方向,包括粒径优化、固相扩散性能优化等方面。与准二维模型相比,单颗粒模型具有计算效率高的优势。
[Abstract]:Absrtact: due to the existence of multi-scale crossover and multi-physical field coupling, it is difficult to predict the lithium ion battery system quickly, efficiently and cheaply by using conventional experimental research methods, which results in the difficulty of battery R & D and design. In this paper, a multiscale electrochemical model for lithium iron phosphate battery was constructed and applied to the study of 2.3Ahn26650 cylindrical lithium-ion phosphate battery, combined with the characteristics of material dynamic parameter response. It provides a theoretical basis for the optimal design of lithium-ion batteries and extends the application field of electrochemical simulation. 1. In order to solve the problem of incomplete model parameters or poor adaptability caused by the variety of materials and the obvious effect of multi-physical fields, a solution to the dynamic response of material parameters is proposed. The dynamic parameters of electrode and electrolyte were analyzed, and the construction and mechanism of material dynamic response were put forward. 2. Based on the dynamic response of material parameters, the quasi-two-dimensional model of lithium ion battery is established, and the accuracy of the model is verified by comparing with the experimental results. The pulse discharge and constant current discharge behavior of lithium ion battery were studied by using this model. 3. A single particle model of lithium ion battery was established based on the dynamic response of material parameters. The model was used to study the performance improvement direction of lithium iron phosphate battery, including particle size optimization, solid diffusion performance optimization and so on. Compared with the quasi-two-dimensional model, the single-particle model has the advantage of high computational efficiency.
【学位授予单位】：中南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM912

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