Abstract: A method for calculating a state of charge of a battery is provided. The method includes: estimating a first state of charge of the battery by using a first state of charge estimation algorithm; estimating a second state of charge of the battery by using a second state of charge estimation algorithm; determining a first weight corresponding to the first state of charge and a second weight corresponding to the second state of charge based on state data of the battery; and calculating the state of charge of the battery based on the first state of charge and the first weight, and the second state of charge and the second weight. With method for calculating a state of charge of a battery in the present disclosure, the accuracy of calculating the state of charge of the battery can be improve d with a lower computation cost.

Abstract: An unsupervised feature selection method based on latent space learning and manifold constraints includes: S11, inputting an original data matrix to obtain a feature selection model; S12, embedding latent space learning into the feature selection model to obtain a feature selection model with the latent space learning; S13, adding a graph Laplacian regularization term into the feature selection model with the latent space learning to obtain an objective function; S14, solving the objective function by adopting an alternative iterative optimization strategy; and S15, sequencing each feature in the original matrix, and selecting the first k features to obtain an optimal feature subset. Feature selection is performed in a learned potential latent space, and the space is robust to noise. The potential latent space is modeled by non-negative matrix decomposition of a similarity matrix, and the matrix decomposition can unambiguously reflect relationships between data instances.

Abstract: A use of an intervertebral disc fibrosis-inducing substance in preparation of medication, where the medication is used for the treatment of degenerative spinal diseases. The inventors of the present disclosure make use of the pro-fibrotic effect of the intervertebral disc fibrosis-inducing substance and the auxiliary effect of the fibroblast to achieve further treatment of intervertebral disc degeneration. The simultaneous administration of the above two drugs can reasonably control the degeneration and achieve the purpose of stepped treatment, thereby having clinical transformation value. In addition, the therapy combining the intervertebral disc fibrosis-inducing substance with the cell in the present disclosure allows the treatment regimen more personalized.

Abstract: A method for monitoring battery cell data comprises: collecting the first set of the battery cell data in real time; retrieving estimation parameter data corresponding to the first set of the battery cell data from a battery cell parameter database in real time; based on the estimation parameter data of the first set of the battery cell data, processing the first set of the battery cell data through a battery model to acquire the second set of the battery cell data in real time; acquiring an error value between the first set and the second set of the battery cell data in real time; acquiring a monitoring result of the first set of the battery cell data in real time based on the error value and an error threshold, the monitoring result is either the error value being greater than the error threshold, or less than the error threshold.

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: The invention provides a method and system for identifying electrochemical model parameters based on capacity change rate. The method includes: acquiring operating data from an actual operation process of a lithium battery and cleaning an actual operating data set from the operating data; generating a simulated operating data set through simulation of a preset electrochemical model; performing parameter identification based on a preset first loss function, the actual operating data set, and the simulated operating data set; calculating capacity convergence coefficient; comparing capacity convergence coefficient with a preset convergence threshold value; when greater than the preset convergence threshold value, regenerating the simulated operating data set; and when not greater than the preset convergence threshold value, outputting an electrochemical model parameter set as a parameter identification result.

Abstract: A method, performed by one or more processors, including: receiving one or more event records; generating, using the one or more event records, an event descriptor object descriptive of one or more events occurring in a networked system, wherein the event descriptor object comprises a plurality of event properties; receiving one or more entity records; generating, using the one or more entity records, an entity descriptor object descriptive of one or more entities relevant to the security of the networked system, wherein the entity descriptor object comprises a plurality of entity properties; incorporating, into an object graph, the event descriptor object and the entity descriptor object; and associating, in the object graph, the event descriptor object with the entity descriptor object using at least one of the plurality of event properties and at least one of the plurality of entity properties.

Abstract: A non-invasive time domain reflection probe calibration method includes: using different volume ratio of ethanol and deionized water mixed solution to calculate a test target's medium weight coefficient and waveguide length of the non-invasive time domain reflection probes; using different concentrations of NaCl solutions to calibrate a waveguide geometric dimensioning of the non-invasive time domain reflection probes; preparing compacted soil samples with known different moisture contents and densities, and calibrating a correlation parameter of compacted soil samples' dielectric constant and conductivity with moisture content and density. The method not only determines the sensitivity of the test target medium of the non-invasive time domain reflection probes, but also obtains the waveguide length and geometric dimensioning of the probe, and realizes an accurate test of moisture content and density of the soil.

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: A method, system, and computer program product for script generation and recommendation from behavior trees are provided. The method receives a set of input commands within a programming interface. The set of input commands is parsed into a set of command parts. The set of input commands is normalized based on the set of command parts to generate a set of normalized commands. A set of behavior trees are generated based on the set of normalized commands and the set of parts. The method generates a set of command scripts based on the set of behavior trees.

Abstract: This disclosure provides recombinant DNA constructs and transgenic plants having enhanced traits such as increased yield, increased nitrogen use efficiency, and enhanced drought tolerance or water use efficiency. Transgenic plants may include field crops as well as plant propagules and progeny of such transgenic plants. Methods of making and using such transgenic plants are also provided. This disclosure also provides methods of producing seed from such transgenic plants, growing such seed, and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic events for the desired enhanced trait.

Abstract: An energy Internet system, an energy routing conversion device, and an energy control method, relating to a field of energy information. An alternating-current (AC) side energy routing conversion device of the energy Internet system includes a plurality of first route ports, and a direct-current (DC) side energy routing conversion device includes a plurality of second route ports, where each second route port is connected to a corresponding first route port by means of a corresponding DC busbar. A plurality of energy devices are connected to a DC busbar by means of corresponding first AC/DC converters or first DC converters. The AC side energy routing conversion device and the DC side energy routing conversion device collect energy information of the energy devices and adjust energy of the energy devices on a basis of energy balance constraint conditions.

Abstract: The present disclosure provides a blending method of high-quality and dual-purpose flour for bread and noodles, belonging to the technical field of flour processing. The method includes: selecting flour of a high-quality and dual-purpose wheat variety for bread and noodles as a high-quality basic flour for blending; according to a large gradient experimental design, selecting a gradient range ratio with a sedimentation value ?46.0 mL and a dough development time ?9.6 min, followed by subdividing for small gradient experiments; selecting a ratio with flour sedimentation value and dough development time that reach an ideal value to blend a large amount of flour; and making bread and noodles for scoring, followed by determining a blending ratio if a scoring result reaches an ideal value.

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 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: 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, 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: 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: Disclosed are an interactive information processing method, an electronic device and a storage medium. The method includes establishing a position correspondence between a display text generated based on a multimedia data stream and the multimedia data stream; and presenting the display text and the multimedia data stream corresponding to the display text based on the position correspondence.

Abstract: This disclosure provides systems, methods, and apparatus related to thin free-standing oxide membranes. In one aspect, a method includes providing a substrate. The substrate defines a hole having a diameter of about 500 nanometers to 5000 nanometers. A layer of metal is deposited on the substrate. A supporting layer is deposited on the layer of metal. A first side of the supporting layer is the side that is disposed on the layer of metal. A metal oxide layer is deposited on the first side of the supporting layer and on the substrate. In some implementations, the method further includes removing the supporting layer.