Battery cell identification and SOC estimation using string terminal voltage measurements

Le Yi Wang, Michael P. Polis, G. George Yin, Wen Chen, Yuhong Fu, Chunting Chris Mi

    Research output: Contribution to journalArticlepeer-review

    Abstract

    A battery system consists of many battery cells or modules that may have different characteristics. To achieve reliable, efficient, and extended utilization of battery systems, the battery management system (BMS) must keep track of individual cell-level dynamics, state of charge (SOC), state of health (SOH), failure status, and life-expectancy prediction. Current battery technology employs cell- or module-level voltage sensors, with high costs for sensors and packaging, and substantial reliability issues. This paper introduces new methods that utilize existing cell-balancing circuits to estimate an individual cell’s voltage and current from battery string terminal voltage/current measurements. This is achieved by actively controlling balancing circuits to create partial observability for battery cell subsystems. Control strategies, estimation algorithms, and their key properties are developed. Some typical battery model structures are used to illustrate the usage of the methods.
    Original languageEnglish
    Pages (from-to)2925-2935
    Number of pages11
    JournalIEEE Transactions on Vehicular Technology
    Volume61
    Issue number7
    DOIs
    Publication statusPublished - 2012

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