Journal
IFAC PAPERSONLINE
Volume 51, Issue 24, Pages 1431-1438Publisher
ELSEVIER
DOI: 10.1016/j.ifacol.2018.09.536
Keywords
Fault detection and isolation; Lithium-ion battery; Sensor fault; Internal fault; Unscented Kalman filter
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Funding
- Walloon Region (Belgium)
- Fonds pour la Formation a la Recheche dans l'Indsutrie et dans l'Agriculture (FRIA), FNRS
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In this paper, first a simplified electrochemical model that includes internal faulty modes (capacity, power and rate capability fade) is developed for a lithium-ion battery. It is derived from the so-called equivalent hydraulic model for the battery electrodes, but it also includes the electrolyte dynamics as well as the thermal effects. Next this model is exploited to design a diagnosis system able to detect and isolate both internal faults and sensor faults. This system relies on a dual unscented Kalman filter for residual generation, as well as tracking of the parameters and the states of the model. The simulation results demonstrate that a set of fault indicators that allow fault discrimination can be obtained with the proposed approach. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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