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    • 9. 发明申请
    • TECHNIQUES FOR ROBUST BATTERY STATE ESTIMATION
    • 用于稳健电池状态估计的技术
    • US20160054390A1
    • 2016-02-25
    • US14463016
    • 2014-08-19
    • Jian LinHong YangPawel MalyszJin YeRan GuAli Emadi
    • Jian LinHong YangPawel MalyszJin YeRan GuAli Emadi
    • G01R31/36
    • G01R31/367B60L58/10G01R31/3842G01R31/392Y02T10/7005Y02T10/705
    • More accurate and robust battery state estimation (BSE) techniques for a battery system of an electrified vehicle include estimating a current bias or offset generated by a current sensor and then adjusting the measured current to compensate for the estimated current bias. The techniques obtain nominal parameters for a battery model of the battery system based on a measured temperature and an estimated open circuit voltage (OCV). The techniques use these nominal parameters and the corrected measured current to estimate the OCV, a capacity, and an impedance of the battery system. The techniques utilize the OCV to estimate a state of charge (SOC) of the battery system. The techniques also estimate a state of health (SOH) of the battery system based on its estimated capacity and impedance. The techniques then control the electrified vehicle based on the SOC and/or the SOH.
    • 用于电气化车辆的电池系统的更精确和鲁棒的电池状态估计(BSE)技术包括估计由电流传感器产生的电流偏差或偏移,然后调整测量的电流以补偿估计的电流偏差。 该技术基于测量的温度和估计的开路电压(OCV)获得电池系统的电池模型的标称参数。 这些技术使用这些标称参数和校正的测量电流来估计电池系统的OCV,容量和阻抗。 该技术利用OCV来估计电池系统的充电状态(SOC)。 这些技术还基于其估计的容量和阻抗来估计电池系统的健康状况(SOH)。 然后,这些技术基于SOC和/或SOH控制电气化车辆。