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 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 method and system for target-based electric field decoupling for an electrochemical model.

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

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: 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.

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

Abstract: Techniques for using deep reinforcement learning for training a recommendation model for an online service are disclosed herein. In some embodiments, a computer-implemented method comprises training a recommendation model using deep reinforcement learning and a Markov decision process, where the Markov decision process has a state space including state embeddings of a plurality of reference users, an action space including action embeddings of the plurality of reference users, and a reward function. The reward function may be configured to issue a first reward based on current impression interaction data and a second reward based on a measurement of engagement of the reference user with the online service.

Abstract: The present invention relates to detection of nucleic acids and provides a composition comprising a Signal Generating Complex, wherein the composition comprises: (A) a pair of target probes (TPs), wherein a first TP of the pair of TPs comprises a nucleic acid sequence comprising two segments; (B) a pair of base PPAs comprising the first and second base PPAs, wherein the first base PPA comprises a nucleic acid sequence comprising three segments; (C) a set of extension PPAs comprising the first and second extension PPAs, wherein the first extension PPA comprises a nucleic acid sequence comprising two segments; (D) a plurality of pre-amplifiers (PAs), wherein the PAs comprise a nucleic acid sequence comprising three segments; (E) a plurality of amplifiers (AMPs), wherein the AMPs comprise a nucleic acid sequence comprising two segments; and (F) a plurality of label probes (LPs), wherein the LPs comprise a nucleic acid sequence comprising two segments.

Abstract: A computer-implemented method, system and computer program product for improving accuracy and efficiency of auditing databases. A table, list or index of a database is analyzed to identify metadata, which includes time series data, user data, an Internet Protocol address and operation data. The identified metadata is associated with the corresponding record or row of the table, list or index from which the metadata was extracted. A determination is then made as to whether to record a raw data image associated with the record or row of the analyzed table, list or index based on the corresponding data operation. The identified metadata as well as the recorded data images, if any, are stored in a structured audit log. Auditing information is then obtained from a structured audit log based on matching the record or row identifier (RID) associated with the query with the RID associated with the structured audit log.

Abstract: Embodiments of the disclosed technologies incorporate taxonomy information into a cross-lingual entity graph and input the taxonomy-informed cross-lingual entity graph into a graph neural network. The graph neural network computes semantic alignment scores for node pairs. The semantic alignment scores are used to determine whether a node pair represents a valid machine translation.

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: Examples described herein provide a computer-implemented method for multi-user debugging of a program. The method includes receiving a first request from a first developer to initiate a debug of the program and receiving a second request from a second developer to initiate the debug of the program. The method further includes, responsive to receiving the first request and the second request, initiating the debug of the program. The method further includes sending first source code for the program to the first developer, wherein the first source code is associated with the first developer. The method further includes sending second source code for the program to the second developer, wherein the second source code is associated with the second developer. The method further includes updating the program responsive to receiving a change to at least one of the first source code or the second source code.