Battery electric quantity metering method, computer device and computer readable storage medium

Abstract

The invention provides a battery electric quantity metering method, a computer device and a computer readable storage medium. The battery electric quantity metering method comprises the steps of determining a current working state of a power supply; acquiring corresponding electric quantity data according to the current working state, and acquiring current electric quantity according to the electric quantity data; and homogenizing the current electric quantity, and outputting the current homogenized electric quantity. The computer device comprises a controller, and the controller is used for implementing the battery electric quantity metering method when executing the computer program stored in the memory. A computer program is stored in the computer readable storage medium, and the battery electric quantity metering method is realized when the computer program is executed by the controller. By applying the battery electric quantity metering method provided by the invention, the electric quantity change of charging and discharging is more uniform.

Description

technical field [0001] The present invention relates to the technical field of power supplies, and in particular, to a battery power metering method, a computer device using the battery power metering method, and a computer-readable storage medium using the battery power metering method. Background technique [0002] As the basic function of the power management chip, power metering aims to accurately reflect the remaining power of the device to the user, so that the user can accurately estimate the current usage time of the device, and allow the user to maximize the use of battery power. Therefore, it is particularly important to accurately estimate the battery power at the moment when mobile devices are developing day by day. [0003] There are mainly three existing mainstream power estimation methods: 1. Open circuit voltage method (OCV-SOC method): The open circuit voltage method is based on the corresponding relationship between the open circuit voltage of the battery a...

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Problems solved by technology

[0003] There are mainly three existing mainstream power estimation methods: 1. Open circuit voltage method (OCV-SOC method): The open circuit voltage method is based on the corresponding relationship between the open circuit voltage of the battery and the battery power under the condition of standing for a long time. The current power of the battery is estimated, but to obtain the open circuit voltage during the charging and discharging process of the battery, it is necessary to establish a corresponding model for the battery. An overly simple model will lead to poor accuracy of the fuel gauge, but an overly complex model will consume additional resources, and the open-circuit voltage method is only good at estimating the electricity at the initial and final stages of charging and discharging, and the estimation effect on the middle stage of charging and discharging is poor; Due to the characteristics of the battery, when the voltage rises to the constant voltage stage, the charging current will gradually decrease, so the estimation of the battery capacity in the later stage of charging will become uneven, and even the battery will report 100%. However, the actual charging is still continuing, or due to measurement errors or inaccurate initialized coulomb counter capacity, the actual battery capacity is larger or smaller than the coulomb counter capacity, and the battery is very If you empty it quickly, the power may jump to 0% at a higher value or report 0% in advance; 3. Combination of open circuit voltage method and coulomb measurement method: the method of combining open circuit voltage method and coulomb measurement method is a combination of two The advantages of this algorithm are generally to use the coulomb counting method in the middle stage of charging and discharging, and use the open circuit voltage method in the early and late stages. The smooth transition between these algorithms is also the difficulty of this type of algorithm.

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