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: A method for establishing an electrochemical model for an ion battery is provided. The ion battery includes a negative electrode region, a positive electrode region, and a diaphragm arranged between the negative electrode region and the positive electrode region. The negative electrode region includes a negative electrode current collector, a negative electrode liquid phase and a negative electrode solid phase. The positive electrode region includes a positive electrode current collector, a positive electrode liquid phase and a positive electrode solid phase.

Abstract: A method and a device for forecasting an electric load, an electronic device, and a computer-readable storage medium are provided. The method includes: acquiring historical load data prior to a forecast date; generating a load sequence based on the historical load data; performing variational mode decomposition on the load sequence, to obtain multiple intrinsic mode components and a residual that are corresponding to the load sequence; and inputting the multiple intrinsic mode components and the residual into respective forecasting models, and determining a load value on the forecast date based on forecasting results of all the forecasting models.

Abstract: A method for establishing an electrochemical model for an ion battery is provided. The ion battery includes a negative electrode region, a positive electrode region, and a diaphragm arranged between the negative electrode region and the positive electrode region. The negative electrode region includes a negative electrode current collector, a negative electrode liquid phase and a negative electrode solid phase. The positive electrode region includes a positive electrode current collector, a positive electrode liquid phase and a positive electrode solid phase.

Abstract: A battery temperature monitoring point identification and abnormality detection method is provided according to the present disclosure. The method is applied to a battery module, and a temperature sensor inside the battery module is determined as a temperature monitoring point of a battery. The method includes: establishing a second-order RC equivalent circuit model of the battery in the battery module; performing parameter identification on the second-order RC equivalent circuit model to obtain an optimal parameter; obtaining distances between multiple temperature monitoring points in the battery module and the battery by using the obtained optimal parameter; and determining effectiveness of the temperature monitoring points based on the obtained distances between the temperature monitoring points and the battery.

Abstract: A method and an apparatus for monitoring energy storage cell abnormality, an electronic device, and a medium are provided. The method includes: obtaining valid state data of a first cell in a battery module at a preset time; obtaining a discrete statistical state characteristic of the first cell based on the valid state data of the first cell; calculating distances between the discrete statistical state characteristic of the first cell and discrete statistical state characteristics of each remaining cells in the battery module separately, averaging the set of distances, to obtain a distance characteristic associated with the first cell; and determining whether the first cell is abnormal based on the distance characteristic of the first cell. Consistency monitoring of each cell in the battery module is implemented based on the state data of each cell, so that an early warning indicative of a possible fault can be issued.

Abstract: A method, system, device, and medium for recharging a battery module are disclosed. The method comprises: identifying initial rechargeable batteries within the battery module; selecting from the initial rechargeable batteries, a reference rechargeable battery that satisfies preset charging and discharging conditions, and designating the remaining batteries of the initial rechargeable batteries as target rechargeable batteries; and determining a target capacity for each of the target rechargeable batteries based on the historical charging and discharging parameters of the reference rechargeable battery and each of the target rechargeable batteries; establishing a recharge termination condition for each of the target rechargeable batteries based on the target capacity; and recharging each of the target rechargeable batteries in accordance with its respective recharge termination condition. Considering the unique conditions of each battery, settings for recharge are individualized.

Abstract: A method and a device for forecasting an electric load, an electronic device, and a computer-readable storage medium are provided. The method includes: acquiring historical load data prior to a forecast date; generating a load sequence based on the historical load data; performing variational mode decomposition on the load sequence, to obtain multiple intrinsic mode components and a residual that are corresponding to the load sequence; and inputting the multiple intrinsic mode components and the residual into respective forecasting models, and determining a load value on the forecast date based on forecasting results of all the forecasting models. With the method and the device, the electronic device, and the computer-readable storage medium, the load sequence is decomposed based on the variational mode decomposition, so that more dimensional feature information in the load sequence can be mined. Moreover, the residual is also used as valid data.

Abstract: A thermal-runaway warning method, system, and terminal for a power station are provided. The method comprises: obtaining collected data of a battery module comprised in the power station, wherein the collected data comprises collected temperature values of the battery module collected by temperature measuring devices; normalizing the collected data to obtain a standard dataset; training a CNNLSTM-based temperature predicting model based on the standard dataset to obtain a trained CNNLSTM-based temperature predicting model; and obtaining a predicted temperature value of the battery module within an output time window based on the trained CNNLSTM-based temperature predicting model, and determining whether there is a risk of thermal runaway in the power station based on the predicted temperature value.

Abstract: The invention discloses a method, a system, an electronic device, and a storage medium for determining performance of a power battery. The method includes the following steps: acquiring historical data of the power battery in at least two charging processes; determining, according to historical data in one charging process, a dQ/dV curve and a direct current internal resistance corresponding to said charging process; calculating a relative change rate of internal resistance capacity in any two charging processes; and determining the performance of the power battery according to the relative change rate of internal resistance capacity and a relative change rate of internal resistance capacity range corresponding to fault type. The invention can effectively determine whether the performance of the power battery is abnormal by combining, in the two charging processes, the target peak value of a dQ/dV curve of the power battery and the change in direct current internal resistance.

Abstract: The invention discloses a method, a system, a device, and a medium for detecting a battery state of health. The method includes extracting a target curve segment from a first charging characteristic curve of a battery under test; and determining, according to a corresponding relation between characteristic parameters of the target curve segment and the battery state of health, the battery state of health matching the characteristic parameters of the target curve segment, and determining the battery state of health as the battery state of health of the battery under test. By utilizing said corresponding relation as the calculation basis, the invention improves the reliability and accuracy of the detection of battery state of health detection. The invention also tracks instances of abusive conditions that accelerate battery aging, assessing whether such conditions accelerate battery degradation and issuing warnings accordingly.

Abstract: The invention discloses method and system for predicting working conditions of lithium batteries. The method includes performing a Fourier transform on a physicochemical state quantity distribution function of a solid-phase lithium battery to calculate a physicochemical state quantity distribution series function in a frequency domain and obtain a solid-phase physicochemical state quantity in the frequency domain according to the physicochemical state quantity distribution series function; performing a Laplace transform on a partial differential governing equation set of the solid-phase physicochemical state quantity to obtain a solid-phase ordinary differential equation set in a complex frequency domain and obtain an analytical solution in the time domain through an inverse Laplace transform; and calculating, according to the analytical solution, a predicted value of the working conditions of the solid-phase lithium battery at any location and at any time in the future.

Abstract: The invention provides an electrochemical model based method for early warning for a lithium battery, including establishing a three-dimensional electrochemical model for the lithium battery, and dividing the lithium battery into three portions respectively including a positive electrode, a negative electrode and a separator; performing spatial discretization on the three-dimensional electrochemical model according to a preset accuracy to establish the four-dimensional spatial coordinates of the lithium battery; obtaining a current lithium ion concentration in each position of the lithium battery by simulation based on the four-dimensional space coordinates, a historical lithium ion concentration and a historical diffusion coefficient of the lithium battery; and performing early warning for the lithium battery according to the current lithium ion concentration in each position.

Abstract: The invention discloses a method and a device for detecting the lithium intercalation amounts of lithium ion battery electrodes and a battery management system therewith.

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 method and device for battery state-of-charge (SOC) estimation. The method comprises establishing an electrochemical model for a battery; setting an initial value of the current SOC of the battery, and determining an initial distribution of solid-phase lithium ion concentrations in the electrochemical model according to the initial value of the SOC; performing a charge/discharge test on the battery, collecting measured voltage and current of the battery after a first time interval; calculating an output voltage and a distribution of the solid-phase lithium ion concentrations at a current acquisition time based on the measured current and the initial distribution of the solid-phase lithium ion concentrations; and when a voltage difference between the output voltage and the measured voltage is within a preset range, estimating the current SOC value of the battery based on the distribution of the solid-phase lithium ion concentration at the current acquisition time.

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, 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 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.