OPTIMIZING BATTERY USE FOR KNOWN FUTURE LOAD
    1.
    发明申请
    OPTIMIZING BATTERY USE FOR KNOWN FUTURE LOAD 有权
    优化电池使用已知的未来负载

    公开(公告)号:US20130346762A1

    公开(公告)日:2013-12-26

    申请号:US13530130

    申请日:2012-06-22

    IPC分类号: G06F1/28

    摘要: Methods for optimizing battery use for a known future load are described. In an embodiment, one or more battery cells are selected from a set of battery cells to provide power to a computing-based device. The battery cells are selected based on discharge profile data for each battery cell and both the current power requirement and a known future power requirement of the computing-based device. The known future power requirement is calculated based on information available to the operating system running on the computing-based device. In some examples, one or more battery cells may also be selected for charging when a power source is available and these cells may be selected based on charge profile data and the known future power requirement. The selection of the battery cells may also be made in order to satisfy a battery optimization goal, which may be defined by a user.

    摘要翻译: 描述了用于为已知未来负载优化电池使用的方法。 在一个实施例中,从一组电池单元中选择一个或多个电池单元以向基于计算的设备供电。 基于每个电池单元的放电曲线数据选择电池单元,以及基于计算的设备的当前功率需求和已知的未来功率需求。 已知的未来功率需求是基于在基于计算的设备上运行的操作系统的可用信息来计算的。 在一些示例中,当电源可用时,还可以选择一个或多个电池单元用于充电,并且可以基于充电曲线数据和已知的未来功率需求来选择这些单元。 还可以进行电池单元的选择,以便满足可由用户定义的电池优化目标。

    Optimizing battery use for known future load
    2.
    发明授权
    Optimizing battery use for known future load 有权
    优化电池使用已知的未来负载

    公开(公告)号:US09285851B2

    公开(公告)日:2016-03-15

    申请号:US13530130

    申请日:2012-06-22

    摘要: Methods for optimizing battery use for a known future load are described. In an embodiment, one or more battery cells are selected from a set of battery cells to provide power to a computing-based device. The battery cells are selected based on discharge profile data for each battery cell and both the current power requirement and a known future power requirement of the computing-based device. The known future power requirement is calculated based on information available to the operating system running on the computing-based device. In some examples, one or more battery cells may also be selected for charging when a power source is available and these cells may be selected based on charge profile data and the known future power requirement. The selection of the battery cells may also be made in order to satisfy a battery optimization goal, which may be defined by a user.

    摘要翻译: 描述了用于为已知未来负载优化电池使用的方法。 在一个实施例中,从一组电池单元中选择一个或多个电池单元以向基于计算的设备供电。 基于每个电池单元的放电曲线数据选择电池单元,以及基于计算的设备的当前功率需求和已知的未来功率需求。 已知的未来功率需求是基于在基于计算的设备上运行的操作系统的可用信息来计算的。 在一些示例中,当电源可用时,还可以选择一个或多个电池单元用于充电,并且可以基于充电曲线数据和已知的未来功率需求来选择这些单元。 还可以进行电池单元的选择,以便满足可由用户定义的电池优化目标。