Extended Kalman Filter with Battery Estimation Example

版本 1.0.0 (60.1 KB) 作者: Efstathios Siampis

Example implementation of the EKF using complex step differentiation and two methods for linearising and discretising the system dynamics

关注

0.0

(0)

612.0 次下载

更新时间 2022/1/27

查看许可证

This is an example implementation of the Extended Kalman Filter (EKF) algorithm using complex step differentiation (https://blogs.mathworks.com/cleve/2013/10/14/complex-step-differentiation/) and the following two methods for linearising and discretising the system dynamics:

- The Euler method, with the option to define intermediate steps for increased accuracy

- The Taylor-Heun and Gauss-Legendre methods ("Mazzoni, T. Computational aspects of continuous–discrete extended Kalman-filtering. Comput Stat 23, 519–539 (2008)")

As a toy example, the EKF is used with the cell model from "https://uk.mathworks.com/help/physmod/simscape/ug/lithium-battery-cell-one-rc-branch-equivalent-circuit.html" to estimate the State of Charge, along with the capacitance and internal resistance parameter values of the cell.

引用格式

Efstathios Siampis (2024). Extended Kalman Filter with Battery Estimation Example (https://www.mathworks.com/matlabcentral/fileexchange/105855-extended-kalman-filter-with-battery-estimation-example), MATLAB Central File Exchange. 检索来源 2024/4/30.