在Matlab-Arduino/LabView中使用EKF和滑模观测器对电池的充电状态进行估计

A. Mouna, B. Abdelilah, N. M'Sirdi, El Hossain Abarkan
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引用次数: 3

摘要

本文提出了用两种类型的观测器估计电池的充电状态。所使用的电池模型是电压源的组合,电压源是与电阻器和电解质连接对应的强度的开路电池电压,以及一系列代表电荷转移现象和扩散的并联RC电路。提出了一种应用于该模型的自适应观测器,该观测器用于估计电池的充电状态,该观测器基于EFK和滑模,以其鲁棒性和简单的实现而着称。仿真结果在Matlab/Simulink下得到验证,并在Arduino-LabView中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of the state of charge of the battery using EKF and sliding mode observer in Matlab-Arduino/LabView
This paper presents the estimation of the state of charge of the battery using two types of observers. The battery model used is the combination of a voltage source, which is the open circuit battery voltage of a strength corresponding to the connection of resistors and electrolyte and a series of parallel RC circuits representing charge transfer phenomena and diffusion. An adaptive observer applied to this model are proposed, this observer to estimate the state of charge of the battery is based on EFK and sliding mode that is known for their robustness and simplicity implementation. The results are validated by simulation under Matlab/Simulink and implemented in Arduino-LabView.
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