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    • 82. 发明授权
    • Fast luminescent silicon
    • 快速发光硅
    • US06319427B1
    • 2001-11-20
    • US09499305
    • 2000-02-07
    • Geoffrey A. OzinÖmer DagHong Yang
    • Geoffrey A. OzinÖmer DagHong Yang
    • C09K1156
    • H01L33/34
    • There are provided mesoporous silica materials containing in their pores stabilized clusters of silicon atoms, of size 2 nanometers or less, and capable of photoluminescence to emit fast photons. They are prepared by chemical vapour deposition of silicon or a silicon precursor such as disilane, under soft conditions such as temperature of 100-150° C., into the mesopores of silicate films which have mesoporous channels prepared by growth of the films using a template to control their sizes, but without removing the template residues from the films prior to the chemical vapour deposition. The template residues serve to limit the size of the silicon clusters which conform. The use of the soft conditions on CVD retains the template residues in an intact, substantially unchanged form. The resultant films have clusters of silicon, of 2 nanometer size or less, anchored to the mesopores, and air stable, so that they can be used in optoelectronic devices in conjunction with standard silicon semiconductors.
    • 提供介孔二氧化硅材料,其孔中含有尺寸为2纳米或更小的硅原子的稳定团簇,并能够发光以发射快速光子。 它们通过硅或硅前体如乙硅烷的化学气相沉积在诸如温度为100-150℃的软条件下制备成具有通过使用模板生长的膜制备的介孔的硅酸盐膜的介孔 以控制其尺寸,但是在化学气相沉积之前不从膜中去除模板残留物。 模板残基用于限制符合的硅簇的尺寸。 在CVD上使用软性条件保留了完整的,基本上不变的形式的模板残基。 所得膜具有2纳米尺寸或更小的硅簇,锚定于中孔,并且空气稳定,使得它们可以与标准硅半导体结合使用在光电子器件中。
    • 84. 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。