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 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 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 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: A method and a system for estimating a state of charge of a battery cluster, an electronic device, and a storage media are provided. The method comprises acquiring target data related to the state of charge; estimating, by an ampere-hour integration method, the state of charge based on the target data, to obtain a first estimated value; inputting the target data into a state-of-charge prediction model to estimate the state of charge and obtain a second estimated value, wherein the prediction model is obtained by training based on sample data; and determining a final estimated value of the state of charge based on the first estimated value, the second estimated value, and a first distance between the target data and the sample data. The method combines the ampere-hour integration method and the prediction model to estimate the state of charge, effectively improving the accuracy of the state of charge estimation.

Abstract: The present disclosure relates to the technical field of light source control, and provides a three-dimensional printing device and a light source controlling method and mechanism thereof. The three-dimensional printing device comprises a selective light-transmitting display, a light source comprises a plurality of LED lamp sets, and the method for controlling the light source comprises: supplying currents to the plurality of LED lamp sets; obtaining a plurality of first illumination data of light emitted by the LED lamp sets and passing through the selective light-transmitting display; and adjusting a driving current of a corresponding LED lamp set according to a relationship between the plurality of pieces of first illumination data, to make the first illumination data of the plurality of LED lamp sets consistent.

Abstract: An electrochemical biosensor including: an electrode; an electron mediator; and a biological enzyme; the electron mediator and the biological enzyme are disposed on a surface of the electrode, wherein the electron mediator comprises a transition metal complex directly bonded to the electrode via a chemical bond, and the biological enzyme is directly bonded to the electrode via a chemical bond or the biological enzyme is physically adsorbed onto the electrode.

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: A device and a method for calculating a single-particle electrochemical model are provided. The device comprises electrochemical calculation modules, a communication module, and a data forwarding module. The electrochemical calculation modules calculate internal performance of batteries in an energy storage system based on battery data in the energy storage system, and output calculation results. The communication module is connected to the electrochemical calculation modules, and configured to transmit the battery data in the energy storage system to each of the electrochemical calculation modules and output the calculation results output by the electrochemical calculation modules. The data forwarding module is connected to the communication module, the energy storage system, and a cloud server, and configured to obtain the battery data from the energy storage system, forward the battery data to the communication module, and forward the calculation results.

Abstract: A method for capacity calculation of a battery module includes: acquire the historical charge and discharge parameters of each battery in the battery module, select a reference battery that meet preset charge and discharge conditions, and obtain remaining batteries in the battery module; obtain relative capacity of each remaining battery relative to the reference battery; determine batteries that meet the preset capacity conditions based on the relative capacities as target capacities; obtain increasable capacity of the battery module based on the target capacities. The calculation of the increasable capacity of the battery module is performed before the battery module is recharged, so that the operation and maintenance personnel can know whether the battery module needs to be recharged and whether the capacity of the battery module after recharging has increased, which optimizes recharge process, improves recharge efficiency, and improves operation and maintenance efficiency.

Abstract: A method, apparatus, medium and electronic device for identifying degradation degree of battery. The method includes: acquiring battery data corresponding to a current cycle count, wherein the battery data comprise battery capacities and battery voltages of the battery; acquiring, based on the battery capacities and the battery voltages, capacity differences corresponding to the battery voltages; acquiring, based on the battery voltages and the capacity differences, a surge set of the capacity differences and a voltage set corresponding to the surge set; and identifying a degree of the battery degradation based on the surge set and the voltage set, to obtain an identification result related to the current cycle count. The method can identify the degree of battery degradation without applying other specialized testing equipment, thereby reducing the cost of identifying the degree of degradation, thereby simplifying the process.

Abstract: A component control method includes a first controller that sends a control instruction to a component when authentication performed by a second controller on the first controller has succeeded and an authentication result is trusted, and the component responds to the control instruction. Authentication on the component may be transferred to the first controller, and the first controller may control one or more components by using the control instruction.

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: The present disclosure provides an apparatus and a method for predicting attenuation of a pre-tightening force of a bolt, which relate to the field of prediction on the pre-tightening force of a bolt. The apparatus for predicting attenuation of a pre-tightening force of a bolt includes a pre-tightening force coefficient measuring device, including a clamping assembly, a pre-tightening force detecting assembly, a tightening assembly and a time length measuring assembly. The clamping assembly is configured to fix a bolt to be detected; the pre-tightening force detecting assembly is configured to measure the pre-tightening force to the bolt; the tightening assembly is configured to apply the pre-tightening force to the bolt; the time length measuring assembly is configured to measure a time length of each sampling in the process of tightening the bolt.

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.