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锂电池组均衡管理方法研究
其他题名Research on Lithium Batteries Group Equalization Management Approach
王云甘1,2
导师王忠锋
分类号TM911.48
关键词锂电池 参数自适应模型 Soc估计 容量估计 均衡管理
索取号TM911.48/W38/2015
页数73页
学位专业模式识别与智能系统
学位名称硕士
2015-05-26
学位授予单位中国科学院沈阳自动化研究所
学位授予地点沈阳
作者部门工业控制网络与系统研究室
摘要能源是人类赖以生存的基础,随着社会进步和科技发展,能源问题日益凸显。锂电池均衡管理技术作为锂电池电源管理的关键技术之一,对研究能源问题有着重要的实际和经济意义。本文主要研究磷酸亚铁锂电池组的均衡管理方法,使锂电池组能以更长的使用寿命和更大的可用容量进行工作。本文主要在锂电池等效电路模型、荷电状态(SOC)及容量估计、能量转移型均衡电路、均衡策略等方面进行了研究,并研发了相应的锂电池组均衡管理验证系统。锂电池等效电路模型作为均衡管理技术的基础,对锂电池状态及参数的估计起着至关重要的作用。通过分析现有等效电路模型的优缺点及改进规律,提出了锂电池参数自适应等效电路模型。以PNGV模型为自适应原型,在大量实验的基础上分析出模型参数变化规律,采用模糊控制思想,结合自适应模型框架,最终得出锂电池模糊参数自适应等效电路模型。实验验证了自适应模型在全SOC范围内模拟锂电池真实内部状态的有效性。在参数自适应模型的基础上,通过双扩展卡尔曼滤波估计SOC的同时,估计锂电池容量,并实时修正模型,使得来自模型、测量、累积、老化等因素的误差有效减小,提高状态和参数的估计精度。通过分析现有主要的锂电池能量转移型均衡电路,明确其优缺点,有针对性的设计了谐振软开关均衡电路。该电路利用LC电路存储能量,利用谐振原理转移能量,且在电流过零点切换开关,实现开关损耗小、开断速率更快的软开关,从而以小体积、高效率实现能量转移型均衡。结合上述研究成果,本文提出了一套能在锂电池静置状态、充电过程、放电过程实现较高精度均衡的基于SOC和容量的均衡策略。文中分析了均衡的目标、意义等要点,解释了均衡流程,并通过实验验证了该均衡策略的实用性。为验证上述理论研究成果,结合上述理论设计了一套锂电池组均衡管理验证系统。均衡管理验证系统基于易维护、易修改、易升级、易移植等原则设计,硬件部分将控制板和均衡主板分离设计,便于维护和升级;软件部分采用在uC/OS实时操作系统上运行多任务协同工作完成功能的方式,便于程序的修改和移植。文中还分别对验证系统软硬件的若干关键设计开发问题予以了详细分析和解释。
其他摘要With social progress and technological development, energy issues become increasingly prominent while energy is the basis for human survival. The technology of lithium batteries group equalization management, as one of the key technologies of energy storage technologies, has important practical and economic significance for the study of energy issues. This article studies equalization management approach to Fe3PO4 lithium battery, which can enable lithium batteries group a longer life and greater available capacity to work. In this article, the lithium equivalent circuit model, state of charge (SOC) and capacity estimation, energy transfer type equalization circuit, and equalization strategy have been studied and developed the corresponding lithium batteries group equalization management verification system. Lithium equivalent circuit model as the basis for equalization management technology plays a vital role to estimate the state and parameters of lithium battery. Through analyzing the advantages, disadvantages and evolution law of existing equivalent circuit model, a parameters adaptive equivalent circuit model of lithium battery is proposed. Making PNGV model as adaptive prototype, based on the analysis of a large number of experimental variation of the model parameters, the fuzzy adaptive parameters lithium equivalent circuit model is ultimately derived by using fuzzy control theory combined with adaptive modeling framework. Experiments demonstrate effectiveness of the adaptive model to simulate the real internal state of lithium battery in the whole range of SOC. The SOC and capacity of lithium battery can be estimated by the dual extended Kalman filter on the basis of the parameters adaptive model, while the model would be corrected real-timely. Such that the accuracy of state and parameters estimation can be improved by reducing the errors coming from the model, measurement, cumulative, aging and other factors. Through the analysis of existing major energy transfer type equalization circuit of lithium batteries to clarify its strengths and weaknesses, resonant soft-switching equalization circuit is designed. The circuit uses the LC circuit storing energy, utilizes the principle of resonance transferring energy, and switches at the current zero crossing to achieve small switching loss, faster breaking rate. Therefore, a compact and highly efficient energy transfer type equalization circuit is achieved. Combining the above findings, the article proposes a set of equalization strategy that can achieve high precision equalization at the standing state, charging and discharging process of lithium batteries based on SOC and capacity. Meanwhile, the equalization goal, meaning points and equilibrium process are analyzed, and the experiments show that the equalization strategy is significantly useful. To validate these theoretical results, a lithium batteries equalization management platform is designed out combining with the above theory. The platform is developed based on the principles of easy to maintain, easy to modify, easy to upgrade and easy to transplant. Thence, the hardware parts the control part from equalization board to keep the ease of maintenance and upgrade, and the software executes multitask to complete functions on uC/OS real-time operating system to achieve the ease of procedure modify and transplant. Besides, numbers of key issues at design and development of hardware and software is analyzed and explained in detail.
语种中文
产权排序1
文献类型学位论文
条目标识符http://ir.sia.cn/handle/173321/16746
专题工业控制网络与系统研究室
作者单位1.中国科学院沈阳自动化研究所
2.中国科学院大学
推荐引用方式
GB/T 7714
王云甘. 锂电池组均衡管理方法研究[D]. 沈阳. 中国科学院沈阳自动化研究所,2015.
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