Abstract: A method for estimating an internal resistance of a lithium battery, a storage medium, and an electronic device are provided. The method includes: sampling a current and a voltage of the lithium battery at a preset sampling interval; inputting the current and the voltage of the lithium battery to an internal resistance estimation equivalent circuit model, determining to-be-estimated parameters of the model, and determining expressions of an open circuit voltage and an internal resistance of the battery; obtaining a range of each of the to-be-estimated parameters of the model based on a memory factor of the model; and inputting the range of each of the to-be-estimated parameters to an internal resistance distribution model to obtain a total internal resistance of the battery, and determining a distribution of the total internal resistance by repeatedly running the internal resistance distribution model, to obtain different estimated values of the total internal resistance.

Abstract: A method for analyzing battery life degradation, a storage medium, and an electronic device are provided. The method includes: obtaining battery data of a device, where the battery data includes a voltage and a current of a battery of the device; estimating an open circuit voltage of the battery based on the battery data; establishing a function curve between a state of charge and the open circuit voltage of the battery; extracting a life degradation curve based on the function curve; and performing life degradation analysis on the battery based on the life degradation curve. In the present disclosure, a dQ/dV curve of the battery can be accurately extracted under complex working conditions, thereby ensuring accuracy of the battery life degradation analysis, and achieving desirable practical applicability under complex working conditions.

Abstract: The invention provides a Kalman filter-based SOC estimation method, system and medium, and an electronic device therewith. The method includes extracting a cell voltage of a battery pack to calculate a terminal voltage, and matching the terminal voltage in a preset lookup table to obtain an initial value of the SOC; calculating an initial capacity of the battery pack based on the initial value of the SOC, and calculating a state value of the SOC and an observed value of the SOC in an interval period based on the initial capacity; calculating a Kalman gain based on the state value of the SOC and the observed value of the SOC, and updating an estimated value of the SOC based on the Kalman gain.

Abstract: The invention provides method, apparatus and storage medium for adjusting the charging-discharging efficiency ratio of an energy storage power station.

Abstract: The invention provides an apparatus and a method for managing an energy storage power station. The apparatus includes: a first main control module communicatively connected with a battery cluster management unit (BCMU) for collecting battery information of the first priority in an energy storage power station system, and performing protection and control on the energy storage power station system according to the battery information of the first priority; and a second main control module communicatively connected with the first main control module and the BCMU, respectively, for collecting battery information of the second priority in the energy storage power station system. The second main control module operably transmits the collected battery information of the second priority to the first main control module. The first main control module operably manages the battery information of the first priority and the battery information of the second priority in a unified manner.

Abstract: The invention provides methods, devices and non-transitory tangible computer-readable storage media for estimating a state of charge of a battery and extracting a charging curve of the battery. The method for estimating the state of charge of the battery includes estimating a first state of charge of the battery; determining a charging curve that conforms to the present charging scenario, wherein the present charging scenario is characterized by at least one of parameters including an ambient temperature, a charging rate, an internal resistance, a state of health, a lifespan, and an open circuit voltage of the battery; and correcting the first state of charge according to the charging curve to obtain a final state of charge of the battery.

Abstract: The invention provides methods, systems and terminal devices for analyzing a state of a battery pack based on cell parameters thereof. The method comprises acquiring cell voltages of each cell and total voltages of the battery pack within a preset time; performing data cleaning on the cell voltages and the total voltages of the battery pack; calculating a voltage standard score of the cells based on the cell voltages after data cleaning, and calculating a voltage standard score of the battery pack based on the total voltages after data cleaning; and performing a time-domain analysis on the voltage standard score of each cell and/or the voltage standard score of the battery pack.

Abstract: The invention provides a method, a system and a terminal device for analyzing states of battery packs in a battery cluster. The method includes acquiring cell voltages of each battery pack in the battery cluster within a preset time; performing data cleaning on the acquired cell voltages; calculating a voltage standard score of each cell based on the cell voltages after data cleaning; calculating a mean value and a standard deviation of said voltage standard score; for each battery pack, plotting scattered points based on the mean value and the standard deviation, and performing closed curve fitting to the scattered points to obtain a closed curve; and analyzing the state of the battery pack based on the closed curve.