卡尔曼滤波器
荷电状态
扩展卡尔曼滤波器
计算机科学
电池(电)
快速卡尔曼滤波
α-β滤光片
功能(生物学)
控制理论(社会学)
RC电路
工程类
电子工程
MATLAB语言
不变扩展卡尔曼滤波器
集合卡尔曼滤波器
电压
电气工程
移动视界估计
物理
功率(物理)
短路
人工智能
操作系统
生物
进化生物学
量子力学
控制(管理)
作者
Fauzia Khanum,Eduardo Louback,Federico Duperly,Colleen Jenkins,Phillip J. Kollmeyer,Ali Emadi
出处
期刊:IEEE Transportation Electrification Conference and Expo
日期:2021-06-21
被引量:9
标识
DOI:10.1109/itec51675.2021.9490163
摘要
This paper proposes a Kalman filter based state-of-charge (SOC) estimation MATLAB function using a second-order RC equivalent circuit model (ECM). The function requires the SOC-OCV (open circuit voltage) curve, internal resistance, and second-order RC ECM battery parameters. Users have an option to use an extended Kalman filter (EKF) or adaptive extended Kalman filter (AEKF) algorithms as well as temperature dependent battery data. An example of the function is illustrated using the LA92 driving cycle of a Turnigy battery performed at multiple temperature ranging from −10°C to 40°C.
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