Abstract: The invention discloses a method, a system, and a storage medium for simulating a data set based on an electrochemical model. The method includes the following steps: setting geometric parameters and electrochemical parameters of a lithium battery; generating a volume average concentration of positive lithium ions and a volume average concentration of negative lithium ions under a preset state of charge through a simulation of the electrochemical model; calculating a capacity of the lithium battery through the simulation of the electrochemical model; after adjusting a current state of charge of the lithium battery, inputting a simulated operating current to acquire a simulated data set. The invention can generate operating data of a virtual battery by adjusting lithium battery electrochemical model parameters, facilitating management by a BMS system of battery operating states based on an electrochemical model of a virtual battery.

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: A battery overheat warning method, a battery overheat warning system, a storage medium, and an electronic device are provided. The battery overheat warning method comprises: obtaining working condition parameters and geometric parameters of a battery; obtaining a theoretical temperature of a target position in the battery based on the working condition parameters and the geometric parameters of the battery; obtaining an actual temperature of the target position in the battery by using a temperature transducer; and sending an overheat warning signal based on the theoretical temperature and the actual temperature of the target position in the battery. The battery overheat warning method has relatively high timeliness and accuracy.

Abstract: A hot-plugging edge computing system includes at least an elastic database, a data processing module, and hot-plugging computing modules. The elastic database is configured to store data through an SSD array with a configurable number of SSDs. The data processing module is connected to the elastic database and each of the hot-plugging computing modules, and controls data storage in the elastic database, monitors and assigns a task to each of the hot-plugging computing modules. Each of the hot-plugging computing modules performs data computing based on the corresponding task assigned by the data processing module, and returns a computing result to the corresponding data processing module.

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: 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 adding dimensions to a visual representation is disclosed. In one embodiment, such a method obtains a data set containing data in a plurality of rows and columns (i.e., dimensions). The method divides the dimensions into a plurality of groups and determines a coordinate system for each group. For each row in the data set, the method determines data points for each group in the corresponding coordinate system. The method then connects the data points for each row with lines to create a visual representation for the data set. In certain embodiments, each group in the data set utilizes a two-dimensional coordinate system. In other embodiments, each group in the data set utilizes a three-dimensional coordinate system. In yet other embodiments, a mix of two-dimensional coordinate systems and three-dimensional coordinate systems are used. A corresponding system and computer program product are also disclosed.

Abstract: The invention discloses a method, a system and a storage medium for consistency analysis of a lithium battery module. The method includes acquiring various microscopic electrochemical parameters corresponding to each single cell in the lithium battery module; respectively establishing a time sequence database of the microscopic electrochemical parameters corresponding to each single cell, based on each of the microscopic electrochemical parameters; and performing consistency analysis on each single cell that meets a preset circuit connection relation based on each time sequence database.

Abstract: The invention discloses method system for detecting lithium precipitation of lithium batteries. The method includes acquiring voltage-time data of lithium batteries of a battery module; performing feature extraction on the voltage-time data to obtain voltage-time data of charging and discharging in accordance with a preset range; performing an inflection point judgment on the voltage-time data of the charging and discharging; determining that there exists the inflection point, and grading the inflection point time when the inflection point occurs; and detecting an amount of lithium precipitation of the lithium batteries based on the grade of the inflection point time. The method combines data feature extraction and electrochemical model in big data and establishes a series of log and threshold system to detect and monitor lithium precipitation and early warn for lithium batteries.

Abstract: The invention provides method, system and storage medium for solving electric field physical quantity in an electrochemical model. The method includes selecting a negative or positive electrode region as a calculation region; selecting a solid or liquid phase current as an observed quantity, and a solid- and liquid-phase potentials as a costate variable; inserting nodes between two endpoints of the calculation region, and determining a target value of the observed quantity of each node; constructing N calculation units; sequentially completing shooting of each of the N calculation units until a convergent solution of the target shooting of the N-th calculation unit is obtained, and taking the convergent solution as a deterministic solution of the costate variable; obtaining the physical quantity of each spatial point at the present time according to the observed quantity of the starting point at the present time and the deterministic solution of the costate variable.

Abstract: The invention discloses method and system for target-based electric field decoupling for an electrochemical model.

Abstract: The invention provides a method and a system of working condition sensitivity analysis and data processing for parameter identification and/or for training a parameter identification neural network. The method includes according to a selected reference voltage interval, obtaining a voltage data set corresponding to electrochemical model parameters in the reference voltage interval; normalizing voltage values of the voltage data set to obtain a characteristic voltage data set, wherein the number of voltage values corresponding to different electrochemical model parameters in the characteristic voltage data set is equal; and inputting the characteristic voltage data set into a neural network model, and outputting initial values of the electrochemical model parameters to analyze the working condition sensitivity by taking the electrochemical model parameters as labels. The electrochemical model parameters include high sensitivity parameters.

Abstract: The invention discloses a method, a system and a storage medium for solid-phase concentration correction of a lithium battery.

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

Abstract: Provided is signaling transmitting and receiving methods, device, network-side device, terminal and storage medium. The signaling transmitting method includes: determining a first parameter set and/or a second parameter set for N resource groups; and transmitting an indication signaling, the indication signaling carries indication information for indicating the first parameter set and/or the second parameter set. The signaling receiving method includes: receiving an indication signaling transmitted by a network-side device. The indication signaling carries indication information for indicating a first parameter set and/or a second parameter set determined by the network-side device for N resource groups. The first parameter set is a Physical Downlink Shared Channel Resource Element (PDSCH RE) mapping set. The second parameter set is a Quasi-Co-Location (QCL) parameter set. N is a positive integer greater than 1.

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: Methods, systems, and computer program products for de-duplicating data in executable files in a container image are disclosed. The method may include receiving a request to read a file in a first layer in a container image including a plurality of layers, wherein the file is a delta file which is from an updated executable file based on a base executable file, the base executable file is in a lower layer than the first layer in the container image, and the delta file includes block mappings between the updated executable file and the base executable file and different data between the two files, and blocks included in the two files are based on respective file structure. The method may also include restoring the updated executable file based on the delta file and the base executable file. The method may further include returning data in the updated executable file.