TY - JOUR
T1 - Sensor Fault Detection, Isolation, and Estimation in Lithium-Ion Batteries
AU - Dey, Satadru
AU - Mohon, Sara
AU - Pisu, Pierluigi
AU - Ayalew, Beshah
N1 - Funding Information:
The work of S. Dey was supported by the U.S. Department of Energy through the GATE Program under Grant DE-EE0005571.
Publisher Copyright:
© 2016 IEEE.
PY - 2016/11
Y1 - 2016/11
N2 - In battery management systems (BMSs), real-time diagnosis of sensor faults is critical for ensuring the safety and reliability of the battery. For example, a current sensor fault leads to erroneous estimates of state of charge and other parameters, which in turn affects the control actions in the BMS. A temperature sensor fault may lead to ineffective thermal management. In this brief, a model-based diagnostic scheme is presented that uses sliding mode observers designed based on the electrical and thermal dynamics of the battery. It is analytically shown how the extraction of the equivalent output error injection signals on the sliding manifolds enables the detection, the isolation, as well as the estimation of the temperature, voltage, and current sensor faults. This brief includes simulation and experimental studies to demonstrate and evaluate the effectiveness of the proposed scheme. Discussions are also included on the effects of uncertainty and on threshold design.
AB - In battery management systems (BMSs), real-time diagnosis of sensor faults is critical for ensuring the safety and reliability of the battery. For example, a current sensor fault leads to erroneous estimates of state of charge and other parameters, which in turn affects the control actions in the BMS. A temperature sensor fault may lead to ineffective thermal management. In this brief, a model-based diagnostic scheme is presented that uses sliding mode observers designed based on the electrical and thermal dynamics of the battery. It is analytically shown how the extraction of the equivalent output error injection signals on the sliding manifolds enables the detection, the isolation, as well as the estimation of the temperature, voltage, and current sensor faults. This brief includes simulation and experimental studies to demonstrate and evaluate the effectiveness of the proposed scheme. Discussions are also included on the effects of uncertainty and on threshold design.
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U2 - 10.1109/TCST.2016.2538200
DO - 10.1109/TCST.2016.2538200
M3 - Article
AN - SCOPUS:84961629663
VL - 24
SP - 2141
EP - 2149
JO - IEEE Transactions on Control Systems Technology
JF - IEEE Transactions on Control Systems Technology
SN - 1063-6536
IS - 6
M1 - 7437404
ER -