公开(公告)号：US20150316618A1

公开(公告)日：2015-11-05

申请号：US14605914

申请日：2015-01-26

Applicant: Apple Inc.

Inventor： Yiming LOU ,  Soundararajan MANTHIRI

IPC: G01R31/36

Abstract: This application relates to methods and apparatus for predicting power and energy availability of a battery. The prediction is made based on a given amount of time, which represents a period in which the battery may be required to operate. Additionally, a learning cycle is incorporated to update a battery model of the battery with certain parameters. The battery model is updated by introducing a time-varying current to the battery and analyzing the voltage response of the battery. A model-based predictive algorithm is used in combination with the battery model to predict battery output parameters based on variables derived from the learning cycle and additional inputs supplied to the model-based predictive algorithm. After one or more iterations, or using a simplified model-based equation, the model-based predictive algorithm can provide an accurate prediction for the maximum current that the battery can supply for a predetermined period of time.

Abstract translation: 本申请涉及用于预测电池的功率和能量可用性的方法和装置。 该预测是基于给定的时间量进行的，其表示电池可能需要操作的时间段。 另外，结合学习周期来用特定参数来更新电池的电池模型。 通过向电池引入时变电流并分析电池的电压响应来更新电池模型。 基于模型的预测算法与电池模型结合使用，以基于从学习周期导出的变量和提供给基于模型的预测算法的附加输入来预测电池输出参数。 在一次或多次迭代之后，或者使用简化的基于模型的方程式，基于模型的预测算法可以为电池在预定时间段内提供的最大电流提供准确的预测。