Apparatus and method for battery SOC estimation

A method for battery management, comprising:

• coupling a current detection unit to a battery to detect a current, coupling a voltage detection unit to the battery to detect a voltage, or coupling a temperature detection unit to the battery to detect a temperature;
• receiving operating parameters of the battery from the current detection unit, the voltage detection unit, or the temperature detection unit;
• filtering at least part of the parameters to generate filtered parameters;
• calculating a nominal SOC by using a first neural network based on the operating parameters and the filtered parameters;
• calculating a validity value based on the operating parameters and the filtered parameters, the validity value indicating validity of the nominal SOC;
• and
• performing a Kalman filtering algorithm by an SOC Kalman filter based on the operating parameters, the nominal SOC, and the validity value, thereby outputting an estimated SOC of the battery,
• wherein the estimated SOC being used to indicate when the battery needs to be recharged to prolong a life of the battery,
• wherein the detected operating parameters comprises current, voltage, and temperature, the filtered parameters comprises filtered current and filtered voltage, and the operating parameters used for performing the Kalman filtering algorithm comprises current,
• wherein the filtered current is generated by filtering the current by a current low-pass filter with a time constant of T seconds and the filtered voltage is generated by filtering the voltage by a voltage low-pass filter with the time constant of T seconds,
• wherein the estimated SOC is calculated by the following steps:
• calculating a gain value based on the validity value, parameter Q, and parameter R, where the parameter Q is a covariance associated with a rate of increase in an SOC covariance if SOC is not otherwise corrected, the parameter R is a covariance associated with an error between the nominal SOC and a true SOC when the validity value indicates the nominal SOC is valid;
• and
• calculating the estimated SOC based on the nominal SOC, the current, the parameter B and the gain value, where the parameter B is the determined according to an SOC Kalman filter calculation cycle time (Ts) and a rated capacity (C) of the battery.

A non-transitory computer readable storage medium, storing a plurality of programs for execution by an apparatus having one or more processors, wherein the plurality of programs, when executed by the one or more processors, cause the apparatus to perform battery management, comprising:

• coupling a current detection unit to a battery to detect a current, coupling a voltage detection unit to the battery to detect a voltage, or coupling a temperature detection unit to the battery to detect a temperature;
• receiving operating parameters of the battery from the current detection unit, the voltage detection unit, or the temperature detection unit;
• filtering at least part of the parameters to generate filtered parameters;
• calculating a nominal SOC by using a first neural network based on the operating parameters and the filtered parameters;
• calculating a validity value based on the operating parameters and the filtered parameters, the validity value indicating validity of the nominal SOC;
• and
• performing a Kalman filtering algorithm by an SOC Kalman filter based on the operating parameters, the nominal SOC, and the validity value, thereby outputting an estimated SOC of the battery,
• wherein the estimated SOC being used to when the battery needs to be recharged to prolong a life of the battery
• wherein the detected operating parameters comprises current, voltage, and temperature, the filtered parameters comprises filtered current and filtered voltage, and the operating parameters used for performing the Kalman filtering algorithm comprises current,
• wherein the filtered current is generated by filtering the current by a current low-pass filter with a time constant of T seconds and the filtered voltage is generated by filtering the voltage by a voltage low-pass filter with the time constant of T seconds,
• wherein the estimated SOC is calculated by the following steps:
• calculating a gain value based on the validity value, parameter Q, and parameter R, where the parameter Q is a covariance associated with a rate of increase in an SOC covariance if SOC is not otherwise corrected, the parameter R is a covariance associated with an error between the nominal SOC and a true SOC when the validity value indicates the nominal SOC is valid;
• and
• calculating the estimated SOC based on the nominal SOC, the current, the parameter B and the gain value, where the parameter B is the determined according to an SOC Kalman filter calculation cycle time (Ts) and a rated capacity (C) of the battery.