Model-Based Battery Thermal Fault Diagnostics: Algorithms, Analysis, and Experiments

Safety and reliability remain critical issues for lithium-ion (Li-ion) batteries. Out of many possible degradation modes, thermal faults constitute a significant part of critical causes that lead to battery degradation and failure. Therefore, it is extremely important to diagnose these thermal fault...

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Vydáno v:	IEEE transactions on control systems technology Ročník 27; číslo 2; s. 576 - 587
Hlavní autoři:	Dey, Satadru, Perez, Hector E., Moura, Scott J.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.03.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Batteries Circuit faults Computer simulation Degradation Detection Diagnostic systems distributed parameter systems estimation Fault diagnosis Heating systems lithium-ion (Li-ion) batteries Lithium-ion batteries Mathematical models Observers Partial differential equations Product safety Real time Rechargeable batteries Reliability analysis Robustness Stability analysis Temperature measurement Thermal analysis thermal faults Uncertainty
ISSN:	1063-6536, 1558-0865
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Abstract	Safety and reliability remain critical issues for lithium-ion (Li-ion) batteries. Out of many possible degradation modes, thermal faults constitute a significant part of critical causes that lead to battery degradation and failure. Therefore, it is extremely important to diagnose these thermal faults in real time to ensure battery safety. Motivated by this fact, we propose a partial differential equation (PDE) model-based real-time scheme in this paper for diagnosing thermal faults in Li-ion batteries. The objective of the diagnostic scheme is to detect and estimate the size of the thermal fault. We utilize a distributed parameter 1-D thermal model for cylindrical battery cells in conjunction with PDE observer-based techniques to design the scheme. Furthermore, we apply threshold-based technique to ensure robustness against modeling and measurement uncertainties. The effectiveness of the scheme is illustrated by: 1) analytical convergence verification of the PDE observers under heathy and faulty conditions utilizing Lyapunov stability theory; 2) extensive simulation case studies; 3) robustness analysis against model parametric uncertainties; and 4) experimental studies on a commercial Li-ion battery cell.
AbstractList	Safety and reliability remain critical issues for lithium-ion (Li-ion) batteries. Out of many possible degradation modes, thermal faults constitute a significant part of critical causes that lead to battery degradation and failure. Therefore, it is extremely important to diagnose these thermal faults in real time to ensure battery safety. Motivated by this fact, we propose a partial differential equation (PDE) model-based real-time scheme in this paper for diagnosing thermal faults in Li-ion batteries. The objective of the diagnostic scheme is to detect and estimate the size of the thermal fault. We utilize a distributed parameter 1-D thermal model for cylindrical battery cells in conjunction with PDE observer-based techniques to design the scheme. Furthermore, we apply threshold-based technique to ensure robustness against modeling and measurement uncertainties. The effectiveness of the scheme is illustrated by: 1) analytical convergence verification of the PDE observers under heathy and faulty conditions utilizing Lyapunov stability theory; 2) extensive simulation case studies; 3) robustness analysis against model parametric uncertainties; and 4) experimental studies on a commercial Li-ion battery cell.
Author	Perez, Hector E. Dey, Satadru Moura, Scott J.
Author_xml	– sequence: 1 givenname: Satadru orcidid: 0000-0002-8069-0181 surname: Dey fullname: Dey, Satadru email: satadru.dey@ucdenver.edu organization: Department of Electrical Engineering, University of Colorado, Denver, CO, USA – sequence: 2 givenname: Hector E. orcidid: 0000-0002-9449-7251 surname: Perez fullname: Perez, Hector E. email: heperez@berkeley.edu organization: Department of Civil and Environmental Engineering, Energy, Controls, and Applications Laboratory, University of California, Berkeley, CA, USA – sequence: 3 givenname: Scott J. orcidid: 0000-0002-6393-4375 surname: Moura fullname: Moura, Scott J. email: smoura@berkeley.edu organization: Department of Civil and Environmental Engineering, Energy, Controls, and Applications Laboratory, University of California, Berkeley, CA, USA
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SubjectTerms	Batteries Circuit faults Computer simulation Degradation Detection Diagnostic systems distributed parameter systems estimation Fault diagnosis Heating systems lithium-ion (Li-ion) batteries Lithium-ion batteries Mathematical models Observers Partial differential equations Product safety Real time Rechargeable batteries Reliability analysis Robustness Stability analysis Temperature measurement Thermal analysis thermal faults Uncertainty
Title	Model-Based Battery Thermal Fault Diagnostics: Algorithms, Analysis, and Experiments
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