基于卡尔曼滤波的磷酸铁锂电池SOC管理系统研究  

Design of LFP Battery SOC Management System Based on Kalman Filtering

作　　者：李然[1] 侯俊[1] 杨海马[1] 杨晖[1] 胡恒庆[1] 李军[1] 

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093

出　　处：《仪表技术与传感器》2015年第3期50-52,95,共4页Instrument Technique and Sensor

基　　金：国家自然科学基金(61007002;61302181);上海市教委重点学科项目(J50505)

摘　　要：针对电池电量检测效率与精度的问题,设计一种基于卡尔曼滤波算法的电池电量管理系统。该系统用卡尔曼滤波算法精确估测电池电量初始值,用安时法进行过程控制,并加入温度补偿,有效提高了实用环境下电池电量管理系统对SOC的估测效率与精度。与基于开路电压法和安时法的系统相比,该系统具有估测精度高,控制准确稳定,环境适应性强等特点,能够满足电池电量管理的实时性与准确性的需要。To improve the efficiency and accuracy of the estimate of the SOC,a battery management system based on Kalman Filter Algorithm was designed. It can estimate the SOC precisely based on Kalman Filter Algorithm and manage the working process based on the Ampere- hour method with temperature compensation,which improves the efficiency and accuracy of the system in the application environment. Compared to the system based on the open-circuit voltage method and the Ampere-hour method,the system has higher estimate accuracy,stability,circumstance adaptability to meet the requests of the real-time battery management system.

关 键 词：卡尔曼滤波算法 电池电量检测 温度补偿 在线检测 

分 类 号：TH702[机械工程—仪器科学与技术]