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.

Abstract: Provided are a calibration method for splicing light source modules, a projection method, a 3D printing method, a calibration apparatus, a 3D printer, and a non-volatile computer-readable storage medium. There are at least two light source modules. The calibration method includes: performing optical calibration processing on each of the light source modules, wherein a splicing overlapping area is present in projection regions of the light source modules subjected to optical calibration processing; and performing, on the basis of the splicing overlapping area, calibration accuracy inspection on each of the light source modules subjected to optical calibration processing.

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: Disclosed in the disclosure are a method and apparatus for calibrating an exposure surface of an optical system, and a computer device and a storage medium. The method includes: performing flat-field correction on a photographing module; acquiring a grayscale distribution image; segmenting the grayscale distribution image into a mesh image including a plurality of segmented regions, and calculating a fitting grayscale value of each segmented region; selecting, as a reference grayscale value, a minimum fitting grayscale value from all the fitting grayscale values obtained through calculation, and calculating grayscale compensation coefficients corresponding to the other segmented regions, so as to generate a digital mask; and performing mask compensation, by using the digital mask, on a light projection image projected by the optical system, so as to obtain a printed image of which the exposure surface has a uniform irradiance value.

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: 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: 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 structure includes a base layer and conductive element in a dielectric region. The base layer includes a first material and is perpendicular to a direction. The conductive element includes a conductive material and contacts the base layer and the dielectric region. An interface parallel to the direction is formed between the conductive element and the dielectric region. A deposition rate of the conductive material over a surface of the base layer is higher than that over a surface of the dielectric region.