| Autor: |
Nazih Moubayed, Bushra Masri, Hiba Al Sheikh |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). |
| DOI: |
10.1109/icecce49384.2020.9179416 |
| Popis: |
Global interest in hybrid electric vehicles has promoted the need of efficient energy storage systems. Lithium-ion batteries have marked superb growth in usage in the recent years. Nevertheless, these batteries still suffer from shortcomings concerning safety and reliability. With the increasing risks of battery failure, reliable fault diagnosis have become notably vital. This paper addresses the detection of sensor faults in the Lithium-ion battery using a residual model-based fault diagnosis scheme. The proposed design utilizes and extended Kalman filter to estimate the terminal voltage of battery cell using an equivalent circuit model. The generated residuals are evaluated using a generalized likelihood ratio test. Simulation results guarantee the efficient of the proposed fault detection scheme. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
