Kalman filter for noise reduction of Li-Ion cell discharge current

• Type: Article in International Conference Proceedings Book
• Date: 2023

Authors

P. Lopes dos Santos (Author) FEUP; Perdicoulis, TPA (Author) Other; Salgado, PA (Author) Other; Azevedo, JC (Author) Other

Conference proceedings International

Title: IFAC-PapersOnLine

Pages: 9582-9587

22nd IFAC World Congress

Yokohama, 9 July 2023 through 14 July 2023

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Authenticus ID: P-00Z-TDQ

DOI: 10.1016/j.ifacol.2023.10.261

Abstract (EN): Knowledge of the Kalman filter is very important in machine learning since is the basis for understanding more advanced concepts. Towards this end, control and estimation courses should assure the understanding of the concept and its correct application. A tutorial on the design, implementation and test of the KF to denoise the discharge current of a Li-ion cell is presented in this article. The students are also meant to acquire the discharge data used in the case study - Discharge of a Li-ion cell. The Battery Discharger Board is a low cost device to discharge Li-ion cells with a user programmable current discharge profile. The discharge is controlled and monitored by an external microcontroller connected to a host computer that stores and processes the discharge data. This board has been constructed to help students to gain insight into batteries. The current is measured by ACS712 Hall sensors, which are low cost but also very noisy. To de-noise the current measurements two different KF are used with the current being modelled as the state of a first order integrator. In the first approach, the KF assumes that the system is disturbed by process and measurement noises while in the second it only assumes measurement noise, The operation of the discharge board is illustrated in two experiments: (i) one with a constant discharge current and (ii) the other with a pulsed current. In both experiments, the filters performance was very good. Copyright (c) 2023 The Authors.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6