期刊
CONTROL ENGINEERING PRACTICE
卷 56, 期 -, 页码 37-48出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.conengprac.2016.08.002
关键词
Lithium-ion batteries; Fault diagnosis; Thermal faults; Observer; Adaptive threshold
资金
- U.S. Department of Energy GATE program [DE-EE0005571]
- Div Of Civil, Mechanical, & Manufact Inn
- Directorate For Engineering [1055254] Funding Source: National Science Foundation
Ensuring safety and reliability. is a critical objective of advanced Battery Management Systems (BMSs) for Li-ion batteries. In order to achieve this objective, advanced BMS must implement diagnostic algorithms that are capable of diagnosing several battery faults. One set of such critical faults in Li-ion batteries are thermal faults which can be potentially catastrophic. In this paper, a diagnostic algorithm is presented that diagnoses thermal faults in Lithium-ion batteries. The algorithm is based on a two-state thermal model describing the dynamics of the surface and the core temperature of a battery cell. The residual signals for fault detection are generated by nonlinear observers with measured surface temperature and a reconstructed core temperature feedback. Furthermore, an adaptive threshold generator is designed to suppress the effect of modelling uncertainties. The residuals are then compared with these adaptive thresholds to evaluate the occurrence of faults. Simulation and experimental studies are presented to illustrate the effectiveness of the proposed scheme. (C) 2016 Elsevier Ltd. All rights reserved.
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