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Optimal Sensor Placement in Lithium-Ion Battery Pack for Fault Detection and Isolation

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Document pages: 15 pages

Abstract: Energy storage systems for transportation and grid applications, and in thefuture for aeronautical applications, require the ability of providing accuratediagnosis to insure system availability and reliability. In such applications,battery packs may consist of hundreds or thousands of interconnected cells, andof the associated electrical electronic hardware. This paper presents asystematic methodology for approaching some aspects of the design of batterypacks, and in particular understanding the degree of analytical redundancy (AR)in the system that can be used for diagnostic strategies. First, the degree ofAR that is intrinsic in the battery system is determined. Then, structuralanalysis tools are used to study how different measurements (current, voltage,and temperature) may improve the ability of monitoring and diagnosis of abattery system. Possible sensor placement strategies that would enable thediagnosis of individual sensor faults and individual cell faults for differentbattery pack topologies are analyzed as well. The work presented in this paperillustrates how to achieve the required fault detection and isolation (FDI)capabilities using a minimal or optimal sensor set, which is a critical step inthe design of a large battery pack.

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