Estimation and Fault Diagnosis of Lithium-Ion Batteries: A Fractional-Order System Approach

This study investigates estimation and fault diagnosis of fractional-order Lithium-ion battery system. Two simple and common types of observers are designed to address the design of fault diagnosis and estimation for the fractional-order systems. Fractional-order Luenberger observers are employed to generate residuals which are then used to investigate the feasibility of model based fault detection and isolation. Once a fault is detected and isolated, a fractional-order sliding mode observer is constructed to provide an estimate of the isolated fault. The paper presents some theoretical results for designing stable observers and fault estimators. In particular, the notion of stability in the sense of Mittag-Leffler is first introduced to discuss the state estimation error dynamics. Overall, the design of the Luenberger observer as well as the sliding mode observer can accomplish fault detection, fault isolation, and estimation. The effectiveness of the proposed strategy on a three-cell battery string system is demonstrated.

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Nonlinear Fault Detection and Isolation for a Lithium-Ion Battery Management System

ASME 2010 Dynamic Systems and Control Conference, Volume 1 ◽

10.1115/dscc2010-4085 ◽

2010 ◽

Cited By ~ 12

Author(s):

Jim Marcicki ◽

Simona Onori ◽

Giorgio Rizzoni

Keyword(s):

Fault Detection ◽

Hybrid Electric Vehicle ◽

Sliding Mode ◽

Estimation Error ◽

Lithium Ion ◽

Open Loop ◽

Operating Conditions ◽

Fault Detection And Isolation ◽

Battery Management System ◽

Loop Model

Lithium-ion batteries are a growing source for electric power, but must be maintained within acceptable operating conditions to ensure efficiency and reliability. Therefore, a robust fault detection and isolation scheme is required that is sensitive enough to determine when sensor or actuator faults present a threat to the health of the battery. A scheme suitable for a hybrid electric vehicle battery application is presented in this work. The diagnostic problem is formulated as a nonlinear parity equation approach, but is modified for the considered application. Sliding mode observers are designed for input estimation, while the output voltage estimation is performed using an open loop model. The selection of optimal thresholds given a maximum allowable probability of error is also considered. An assessment of the design using real-world driving-cycle data leads to the conclusion that the estimation error of the observers determines a lower bound on the minimum detectable fault magnitude.

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Fault detection and isolation using sliding mode observer for uncertain Takagi-Sugeno fuzzy model

2008 16th Mediterranean Conference on Control and Automation ◽

10.1109/med.2008.4602239 ◽

2008 ◽

Cited By ~ 31

Author(s):

Abdelkader Akhenak ◽

Mohammed Chadli ◽

Jose Ragot ◽

Didier Maquin

Keyword(s):

Fault Detection ◽

Sliding Mode ◽

Fuzzy Model ◽

Sliding Mode Observer ◽

Fault Detection And Isolation ◽

Takagi Sugeno

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Fault detection and isolation for a multi-cellular converter based on sliding mode observer

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.09.521 ◽

2015 ◽

Vol 48 (21) ◽

pp. 164-170 ◽

Cited By ~ 17

Author(s):

H. Meziane ◽

C. Labarre ◽

S. Lefteriu ◽

M. Defoort ◽

M. Djemai

Keyword(s):

Fault Detection ◽

Sliding Mode ◽

Sliding Mode Observer ◽

Fault Detection And Isolation

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A Second-Order Sliding Mode Observer for Fault Detection and Isolation of Turbocharged SI Engines

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2015.2448693 ◽

2015 ◽

Vol 62 (12) ◽

pp. 7795-7803 ◽

Cited By ~ 13

Author(s):

Rasoul Salehi ◽

Gholamreza Vossoughi ◽

Aria Alasty

Keyword(s):

Fault Detection ◽

Sliding Mode ◽

Second Order ◽

Sliding Mode Observer ◽

Fault Detection And Isolation ◽

Si Engines ◽

Second Order Sliding Mode

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An approach for SOC estimation based on sliding mode observer and fractional order equivalent circuit model of lithium-ion batteries

2014 IEEE International Conference on Mechatronics and Automation ◽

10.1109/icma.2014.6885921 ◽

2014 ◽

Cited By ~ 3

Author(s):

Fuli Zhong ◽

Hui Li ◽

Qishui Zhong

Keyword(s):

Lithium Ion Batteries ◽

Equivalent Circuit ◽

Fractional Order ◽

Sliding Mode ◽

Equivalent Circuit Model ◽

Lithium Ion ◽

Circuit Model ◽

Sliding Mode Observer ◽

Soc Estimation

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Robust sliding mode observer-based actuator fault detection and isolation for a class of nonlinear systems

International Journal of Systems Science ◽

10.1080/00207720701778395 ◽

2008 ◽

Vol 39 (4) ◽

pp. 349-359 ◽

Cited By ~ 73

Author(s):

Xing-Gang Yan ◽

Christopher Edwards

Keyword(s):

Nonlinear Systems ◽

Fault Detection ◽

Sliding Mode ◽

Sliding Mode Observer ◽

Fault Detection And Isolation ◽

Actuator Fault

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Robust sensor fault detection and isolation for a Steer-by-Wire system based on sliding mode observer

2012 16th IEEE Mediterranean Electrotechnical Conference ◽

10.1109/melcon.2012.6196470 ◽

2012 ◽

Cited By ~ 2

Author(s):

Slim Dhahri ◽

Anis Sellami ◽

Faycal Ben Hmida

Keyword(s):

Fault Detection ◽

Sliding Mode ◽

Sliding Mode Observer ◽

Fault Detection And Isolation ◽

Sensor Fault ◽

Steer By Wire ◽

Sensor Fault Detection ◽

Wire System

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Fault Detection and Isolation for Lithium-Ion Battery System Using Structural Analysis and Sequential Residual Generation

Volume 2: Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing ◽

10.1115/dscc2014-6101 ◽

2014 ◽

Cited By ~ 12

Author(s):

Zhentong Liu ◽

Qadeer Ahmed ◽

Giorgio Rizzoni ◽

Hongwen He

Keyword(s):

Structural Analysis ◽

Fault Detection ◽

Cooling System ◽

Hazard Analysis ◽

Lithium Ion ◽

Test Construction ◽

Fault Isolation ◽

Fault Detection And Isolation ◽

Battery Cell ◽

Battery Systems

This paper presents a systematic methodology based on structural analysis and sequential residual generators to design a Fault Detection and Isolation (FDI) scheme for nonlinear battery systems. The faults to be diagnosed are highlighted using a detailed hazard analysis conducted for battery systems. The developed methodology includes four steps: candidate residual generators generation, residual generators selection, diagnostic test construction and fault isolation. State transformation is employed to make the residuals realizable. The simulation results show that the proposed FDI scheme successfully detects and isolates the faults injected in the battery cell with cooling system at different times. In addition, there are no false or missed detections of the faults.

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