船用锂离子电池储能系统荷电状态估算.pdfVIP

船用锂离子电池储能系统荷电状态估算 杨倪斌 （上海市港航事业发展中心，上海 200002 ） 摘 要：深入研究锂电池工作原理和基本特性，对比分析各种建模方法的优缺点。在研究 各类锂离子电池的基本构造、基本特征和电池反应等基础上，对比各种建模的优缺点，最终选 用2 阶等效电路模型，使用带适应性遗忘因子的递归最小二乘法进行建模，并通过仿真试验验 证其有效性。研究卡尔曼滤波器及其衍生算法的思想和过程，并基于2 阶电路等效模型，利用 卡尔曼无迹滤波器进行荷电状态估算，并通过仿真试验验证其有效性，以建立安全高效的电池 管理系统，提高锂离子电池使用的安全性和有效性。 关键词：锂离子电池；荷电状态估算；最小二乘法；卡尔曼滤波算法 中图分类号：U665.12 文献标志码：A DOI ：10.16443/j.cnki.31-1420.2023.02.018 State of Charge Estimation of Marine Lithium-Ion Battery Energy Storage System YANG Nibin (Shanghai Municipal Port and Shipping Development Center, Shanghai 200002, China) Abstract: The working principle and basic characteristics of lithium-ion battery are deeply studied, and the advantages and disadvantages of various modeling methods are comprehensively compared and analyzed. On the basis of studying the basic structure, basic characteristics and battery reaction of various types of lithium-ion batteries, the advantages, disadvantages of various modeling are compared, the second-order equivalent circuit codel is finally selected, the recursive least square method with adaptive forgetting factor is used for modeling, and its effectiveness is verified through simulation experiments. The idea and process of Kalman filter and its derivative algorithm are studied. Based on the equivalent model of the second-order circuit, the Kalman unscented filter is used to estimate the state of charge (SOC), and its effectiveness is verified by simulation experiments to establish a safe and efficient battery management system, which improve the safety and effectiveness of lithium-ion battery use. Key words: lithium-ion batt