TY - GEN
T1 - A diagnostic scheme for detection, isolation and estimation of electrochemical faults in Lithium-ion cells
AU - Dey, Satadru
AU - Ayalew, Beshah
N1 - Publisher Copyright:
Copyright © 2015 by ASME.
PY - 2015
Y1 - 2015
N2 - Improvement of the safety and reliability of the Lithiumion (Li-ion) battery operation is one of the key tasks for advanced Battery Management Systems (BMSs). It is critical for BMSs to be able to diagnose battery electrochemical faults that can potentially lead to catastrophic failures. In this paper, an observer-based fault diagnosis scheme is presented that can detect, isolate and estimate some internal electrochemical faults. The scheme uses a reduced-order electrochemicalthermal model for a Li-ion battery cell. The paper first presents a modeling framework where the electrochemical faults are modeled as parametric faults. Then, multiple sliding mode observers are incorporated in the diagnostic scheme. The design and selection of the observer gains as well as the convergence of the observers are verified theoretically via Lyapunov's direct method. Finally, the performance of the observer-based diagnostic scheme is illustrated via simulation studies.
AB - Improvement of the safety and reliability of the Lithiumion (Li-ion) battery operation is one of the key tasks for advanced Battery Management Systems (BMSs). It is critical for BMSs to be able to diagnose battery electrochemical faults that can potentially lead to catastrophic failures. In this paper, an observer-based fault diagnosis scheme is presented that can detect, isolate and estimate some internal electrochemical faults. The scheme uses a reduced-order electrochemicalthermal model for a Li-ion battery cell. The paper first presents a modeling framework where the electrochemical faults are modeled as parametric faults. Then, multiple sliding mode observers are incorporated in the diagnostic scheme. The design and selection of the observer gains as well as the convergence of the observers are verified theoretically via Lyapunov's direct method. Finally, the performance of the observer-based diagnostic scheme is illustrated via simulation studies.
UR - http://www.scopus.com/inward/record.url?scp=84973380296&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973380296&partnerID=8YFLogxK
U2 - 10.1115/DSCC2015-9699
DO - 10.1115/DSCC2015-9699
M3 - Conference contribution
AN - SCOPUS:84973380296
T3 - ASME 2015 Dynamic Systems and Control Conference, DSCC 2015
BT - Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2
PB - American Society of Mechanical Engineers
T2 - ASME 2015 Dynamic Systems and Control Conference, DSCC 2015
Y2 - 28 October 2015 through 30 October 2015
ER -