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    ARTICLE

    PSO-LSSVM-based Online SOC Estimation for Simulation Substation Battery

    Qiang Zhang1, Xianguang Zha1, Jun Wu1, Liang Zhang1, Wei Dai2, Gang Ren3, Shiqian Li3, Ning Ji3,*, Xiangjun Zhu3, Fengwei Tian3

    Structural Durability & Health Monitoring, Vol.16, No.1, pp. 37-51, 2022, DOI:10.32604/sdhm.2022.018422 - 11 February 2022

    Abstract As the emergency power supply for a simulation substation, lead-acid batteries have a work pattern featuring non-continuous operation, which leads to capacity regeneration. However, the accurate estimation of battery state of charge (SOC), a measurement of the amount of energy available in a battery, remains a hard nut to crack because of the non-stationarity and randomness of battery capacity change. This paper has proposed a comprehensive method for lead-acid battery SOC estimation, which may aid in maintaining a reasonable charging schedule in a simulation substation and improving battery’s durability. Based on the battery work pattern, More >

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