557results about "Emergency protection data processing means" patented technology

The invention relates to the technical field of power distribution protection cabinet fault diagnosis, and discloses an intelligent fault diagnosis and rapid isolation method for a power distribution protection cabinet, and the method comprises the steps: synchronously collecting electrical parameters, environment states and equipment motion signals in the cabinet as multi-source monitoring data when the power distribution protection cabinet operates; parameter fluctuation, state change and action time sequence features are extracted after preprocessing, cross-data association analysis is carried out through a multi-dimensional association model to generate an association feature set, a fault diagnosis information set is formed based on the identified abnormal types, fault positions and development trends, an isolation strategy is formulated according to severity levels and influence ranges, and a fault diagnosis result is obtained. And generating a rapid isolation instruction and dynamically adjusting along with fault evolution. According to the method, multi-source data fusion analysis is realized, faults can be accurately diagnosed and rapidly isolated, the operation safety and reliability of the power distribution protection cabinet are improved, and the method is suitable for fault processing of the power distribution protection cabinet in a power system.

The invention discloses a servo motor dynamic overload detection and protection method based on a heat accumulation model, which relates to the technical field of servo system fault protection application, and comprises the steps of constructing a heat accumulation equivalent model, dynamically detecting an overload state, executing a heat dissipation recovery strategy, implementing a multi-stage protection mechanism, self-adaptive environment compensation and a historical data learning function. Through discretization processing of overload curve data and a nonlinear acceleration calculation strategy, the problems of protection lag and false triggering caused by traditional single-parameter detection are avoided, it is ensured that the motor can respond in time in light load, heavy load and load fluctuation scenes, the burn-out risk of the motor is reduced, and through integration of an environment temperature sensor and a heat dissipation condition evaluation unit, the reliability of the motor is improved. The heat accumulation coefficient and the heat dissipation attenuation parameter are dynamically adjusted, the problem of model deviation caused by environment interference is solved, when heat dissipation deterioration and temperature feedback abnormity are detected, the heat dissipation recovery period is automatically prolonged, calculation logic is corrected, and the continuous operation reliability of the system is improved.

The invention discloses a digital calibration system and method for dynamic response parameters of a surge protection circuit, relates to the technical field of power electronic protection and test calibration, and is used for solving the problem that an existing surge protection circuit calibration method cannot reflect device degradation and dynamic response mismatch. Surge event voltage and current waveforms are collected through a synchronous trigger mechanism, non-stationary signal features are extracted through combined time-frequency analysis, and a voltage-current phase trajectory diagram is constructed to generate a response feature matrix; performing phase-space reconstruction on the matrix, calculating Kolmogorov entropy quantification system stability, and establishing a material degradation transfer function in combination with an energy absorption sequence to generate a grain boundary degradation index; key parameters are screened through L1 regularization regression, and a quantitative relation between a grain boundary degradation index and a protection threshold value is established to realize adaptive threshold value calculation; and executing strategy switching from calibration to predictive maintenance according to the degradation trend and threshold fluctuation change, and outputting a maintenance signal to complete dynamic accurate calibration and reliable operation of the surge protection circuit.

The invention belongs to the technical field of low-voltage switch cabinet operation control, and particularly discloses an intelligent low-voltage switch cabinet system based on a building intelligent function, which comprises an operation sensing module, a spatial topology module, a fusion diagnosis module, a fault positioning module and a dynamic protection module, current and insulation resistance are synchronously detected at a circuit wiring terminal of the low-voltage switch cabinet, temperature and humidity distribution data of the surrounding environment are collected, and then coupling characteristics between the current and temperature rise are fused. And carrying out visual display of coupling and time sequence correlation in the built three-dimensional heat-electricity correlation topological graph in the switch cabinet by utilizing the time sequence correlation between the insulation resistance and the humidity change, so as to realize comprehensive identification of potential faults. According to the method, the sensitivity and the accuracy of fault identification are effectively improved, early fault symptoms such as poor contact and insulation degradation can be found earlier, the early warning capability of the system is enhanced, and the safety and the stability of operation of the switch cabinet are guaranteed.

The invention discloses an electrical equipment overload protection method and system based on multistage load monitoring, and relates to the technical field of electrical equipment overload protection, and the method comprises the steps: setting an equipment-level monitoring node, a line-level monitoring node and a system-level monitoring node, and obtaining a three-level load data set; constructing a load characteristic matrix; setting an initial overload threshold conforming to the industrial standard of the switch equipment; a correction coefficient is configured, and the initial overload threshold value is synchronously corrected; drawing up a grading threshold comparison table; meanwhile, a load dynamic constraint mechanism and an equipment health intervention mechanism are set, and electrical equipment overload protection parameter setting is carried out. The technical problems that in the prior art, the overload protection threshold value of the electrical equipment is fixed, dynamic adjustment is lacked, and the adaptability to the health state and load change of the equipment is insufficient, so that protection pertinence and effectiveness are low are solved, accurate overload protection of the electrical equipment is achieved, and the safety of the electrical equipment is improved. And the technical effects of pertinence and effectiveness of overload protection are improved.

The invention discloses a reclosing coordination control method and system based on electrical parameter measurement, particularly relates to the technical field of intelligent power grid fault processing and security defense, and is used for solving the problem that the reliability of fault judgment is reduced due to the fact that high-proportion distributed photovoltaic is connected to a power distribution network. A harmonic detection signal is injected during a reclosing waiting period, a response signal is measured, harmonic subspace energy distribution is extracted, an energy distribution matrix is constructed to calculate a nuclear norm change rate and form similarity, a system harmonic impedance stable state is judged through double verification, and finally a reclosing decision is executed according to a fault judgment parameter. The method can accurately identify the convergence characteristic of the dynamic process of the system, effectively distinguish the instantaneous fault from the permanent fault, and significantly improve the reclosing success rate and the power supply reliability of the distributed photovoltaic power distribution network.

The invention relates to the technical field of electric leakage protection, and particularly discloses a full-working-condition self-adaptive electric leakage protection device, which comprises a data acquisition module used for acquiring electrical data of electrical equipment in real time, including load current, active power and operating voltage value, and calculating the real-time electric data of the electrical equipment by combining the real-time electrical data of the electrical equipment; the real-time load state influence coefficient of the electrical equipment can be obtained through calculation in a diversified data fusion mode, the data can reflect the real-time operation condition of the electrical equipment, namely, which operation state the electrical equipment is in a no-load state, a light-load state and a heavy-load state, and on this basis, the real-time load state influence coefficient of the electrical equipment can be obtained through calculation. According to the invention, the leakage current monitoring threshold is adjusted in real time based on the real-time operation condition of the electrical equipment, so that the situation of malfunction or leakage protection caused by significant difference of parameters such as current characteristics, harmonic content and insulation stress of a power grid under different loads can be avoided, and the accuracy of a leakage monitoring result is improved.

The invention discloses an insulation fault edge self-healing method and device for a power conversion system, and belongs to the technical field of fault diagnosis and automatic maintenance of power electronic equipment, and the method comprises the steps: obtaining multi-modal sensing data, synchronously collected by a multi-modal sensor array, of the power conversion system; a preset lightweight CNN-Transform hybrid model is used to process the multi-modal sensing data, and a feature vector of each modal is obtained; fusing each modal feature vector by adopting a dynamic weight attention mechanism to obtain a fused fault feature vector; classifying the fused fault feature vectors based on a fault classifier, and determining a fault level; and according to the determined fault level, sending a corresponding control instruction to an execution mechanism, and triggering a hierarchical self-healing action. According to the invention, fault identification and self-healing decision can be rapidly completed, and the accuracy of fault detection is effectively improved.

The invention provides a control method and system for an energy storage PCS with an AC / DC circuit breaker and a storage medium, and the method comprises the steps: firstly, synchronously collecting the electrical parameters of a DC side and an AC side, and carrying out the preprocessing of the collected data, so as to form a standardized electrical matrix; then, all parameters in the electrical matrix are cyclically compared with corresponding early warning thresholds, first-level thresholds, second-level thresholds and fusing thresholds in a multi-level threshold mapping table; if the pre-warning threshold value is exceeded, a log is recorded, if the pre-warning threshold value is exceeded, self-healing operation is executed, if the pre-warning threshold value is exceeded, turn-off operation is executed, and if the pre-warning threshold value is reached, physical fusing is triggered; meanwhile, all operation logs are recorded, and the threshold mapping table is dynamically optimized by analyzing log data; according to the method, the fault response speed and the protection precision are improved through multi-level threshold serial comparison and a cooperative protection mechanism, the stability and the reliability under different working conditions are enhanced through the adaptive learning capability, and meanwhile, the whole life cycle cost is reduced.

The invention relates to the technical field of power system protection, in particular to an underground power distribution network single-phase grounding protection system and method based on a signal injection method. The system comprises a signal acquisition module, a measurement and control protection module and an online monitoring module. According to the invention, by injecting the independent direct current signal and combining a zero-sequence fundamental wave time sequence identification algorithm and a traveling wave distance measurement method, rapid detection, high-precision positioning and selective protection of the single-phase earth fault of the underground low-voltage power distribution network are realized, and the method is suitable for complex environments such as coal mines and metal mines; through insulation value on-line monitoring and electric leakage protection, the ground insulation value level of a line is reflected to the voltage change of an additional direct current signal and a reactor neutral point. A zero-sequence fundamental wave time sequence identification model is adopted for electric leakage fault judgment so as to judge the fault type. By outputting a relay signal, on-off control is performed on a protected branch, so that a fault line can be quickly cut off when a fault occurs, and equipment and a bus are protected from being damaged by the fault.

The invention relates to the field of display, and discloses a short-circuit protection circuit, an array substrate, a display device and a short-circuit protection method.The short-circuit protection circuit is used for an OLED device and comprises the steps that an information sensing module obtains the actual working current of the OLED device and real-time parameters related to the working state of the OLED device; the dynamic expectation calculation module calculates the dynamic expectation working current n of the OLED device according to the real-time parameters and a preset OLED electrical characteristic model; the decision module synthesizes the actual current, the expected current and the current change rate / fluctuation amplitude to generate a risk judgment signal; and the response control module executes protection operation according to the judgment signal. According to the OLED short-circuit protection method, the accuracy, the sensitivity and the intelligent management level of OLED short-circuit protection are remarkably improved through the technology of dynamically calculating the expected current and carrying out decision making and parameter self-adaptive adjustment by fusing the actual current time sequence characteristics.

The invention discloses a multi-branch hydro-generator stator grounding fault active arc extinction method, which comprises the following steps: S1, constructing an analytic function of a double-frequency fault potential by using a neutral point and a generator end voltage after a generator fault and combining a winding connection sequence; s2, deriving a linear constraint relation between a third harmonic fault potential real part and an imaginary part; s3, according to the linear constraint relation, in combination with the potential expression of each branch winding of the third harmonic, constructing a target function for fault solution, and solving a solution set based on the third harmonic characteristic quantity; s4, according to the fundamental wave fault characteristic equation, constructing a fundamental wave difference coefficient multi-solution screening criterion, and obtaining a unique solution of the double-frequency fault potential; s5, aiming at the multi-branch hydro-generator, constructing a neutral point dual-frequency power supply injection amount calculation formula; and correctly adjusting the injection amount of the neutral point double-frequency controllable power supply by using the screened double-frequency fault potential unique solution, and suppressing the voltage of the fault point to be 0 to realize arc extinction. According to the invention, reliable arc extinction of the multi-branch hydraulic generator can be realized.

The invention provides a power distribution network relay protection fixed value setting method and device. The method comprises the following steps: constructing a primary equipment topology connection relation of a power distribution network outgoing line unit; identifying the distributed new energy equipment in the outgoing line unit; searching a path from the distributed new energy equipment to an equivalent bus according to the topological connection relation; recording a primary equipment set in the path; integrating the primary equipment set and the equivalent bus to form global topological connection; calculating the short-circuit current of the power distribution network based on the global topological connection; and setting a fixed value of the relay protection device according to the short-circuit current. According to the invention, by constructing the multi-outlet-unit collaborative topology and identifying the new energy path, the calculation model is simplified, the new energy influence of the same bus is considered, and the short-circuit current calculation precision is improved, so that the efficient and accurate setting of the relay protection setting value is realized, and the stable operation of the power grid is ensured.

The invention relates to the technical field of circuit breaker control, in particular to a control system and method for an intelligent circuit breaker controller, and the system comprises a data collection module, an abnormality judgment module, an abnormality determination module, a type determination module, an adjustment module and an execution module. According to the invention, the current, the contact displacement and the contact temperature are collected in real time, so that the operation state of the circuit breaker can be sensed in a multi-dimensional manner; in the hidden anomaly judgment, anomaly candidate generation and type identification process, the synchronous change trend of displacement and temperature is compared with historical anomaly characteristics, and a trigger amplitude threshold value and a delay tripping window are adjusted based on the anomaly type and the confidence coefficient; and furthermore, the peak amplitude threshold value is adjusted or the tripping action is executed according to the time distribution of the implicit anomaly judgment result in the preset correction duration, so that the problem of insufficient early warning capability caused by lack of a refined state recognition and prediction mechanism is effectively solved.

The invention discloses a storage battery safety protection method and system, and the method comprises the steps: detecting a single battery open circuit signal through a high-precision voltage monitoring module, generating a bypass instruction, and maintaining the continuous output of the power of a battery pack; triggering real-time data acquisition based on a bypass instruction, and constructing a battery state multi-dimensional matrix with a timestamp through an anti-reverse module and a blind-mating communication interface; inputting the battery state multi-dimensional matrix into a clustering analysis engine, and outputting a dynamic equalization instruction set; based on the dynamic equalization instruction set and the battery state multi-dimensional matrix, inputting the single voltage, the temperature change rate and the internal resistance degradation trend into an SOS evaluation model, and generating a battery safety risk index; and when the safety risk index of the battery exceeds a threshold value, seamless switching to load power supply is carried out through a diode loop when alternating current loses power, a capacity checking completion signal is output, and a protection state is reset. According to the embodiment of the invention, the fault response speed and the safety redundancy of the storage battery pack can be improved.

The invention relates to the technical field of power distribution automation and intelligent power grid equipment, in particular to an FTU-based intelligent voltage regulation protection bypass cooperative control system, which comprises a state acquisition module, a state identification module, a self-adaptive disturbance judgment module, a voltage regulation cooperative module and a state reconstruction module, the system establishes an operation state vector model by synchronously sampling the voltage and current of a distribution line and the states of a circuit breaker and a bypass switch; judging line operation conditions according to vector state classification, and generating corresponding action priorities and time windows; unified scheduling and interlocking control are carried out on the voltage regulation unit, the protection unit and the bypass unit through the cooperative control execution module, and logic cooperation and state closed-loop updating of multiple control objects are achieved; according to the invention, time sequence coordination and intelligent linkage of voltage regulation, protection and bypass operation can be realized under complex working conditions, the voltage stability and the operation reliability of the distribution line are improved, the fault conflict probability is reduced, and the operation and maintenance intervention is reduced.

The invention discloses a control method for under-voltage tripping and voltage detection closing for a low-voltage switch, and relates to the technical field of power distribution automation. The problems of function separation, low detection precision, poor anti-interference capability and inconvenient maintenance in the prior art are solved. The method comprises the following steps: S1, acquiring a high-precision digital voltage through a voltage transformer, a voltage division network, an isolation amplifier and a 24-bit delta sigma ADC; s2, interference is suppressed by combining temperature compensation, FIR filtering, median filtering and an oversampling integration algorithm; s3, comparing the real-time voltage with a tripping / closing threshold value which can be configured online in parallel; s4 / S5, triggering a zero-crossing short pulse to drive opening / closing based on the threshold value and the time delay; s6, performing parallel fault monitoring, shielding misoperation and uploading fault data; according to the invention, the detection precision, the anti-interference capability and the operation and maintenance efficiency of the system are obviously improved.

According to the power distribution network fault protection and positioning method and system based on the fast switch, an edge calculation node adopts noise self-adaptive improved Morlet wavelet transform, and a current change rate and a voltage break variable are extracted from a transient signal; constructing a three-dimensional decision model taking the current change rate, the voltage break variable and the line characteristic impedance as variables; based on a three-dimensional decision-making model, when it is judged that an internal fault occurs by using the extracted current change rate and voltage break variable, the distributed detection unit sends the action state quantity of the equipment where the distributed detection unit is located to an edge computing node; after the edge computing node utilizes the action state matrix of the equipment, a state reasoning method based on a fuzzy Petri network is adopted to determine a fault section; verifying the fault section according to the matching degree of the fault current weighting and the characteristic impedance of the equipment in the fault section; after the fault section is verified, fault isolation is executed; and after fault isolation, fault positioning is optimized, and it is ensured that the cooperative breaking time sequence of the multi-stage switch is accurately matched with a fault diffusion path.

The invention relates to the technical field of power distribution networks, and discloses a deep learning-based protection setting value setting method for a power distribution network containing a distributed power supply, and the method comprises the following steps: obtaining real-time operation data of the power distribution network, and constructing a dynamic graph representation of the power distribution network according to the real-time operation data; processing the dynamic graph representation by using a graph attention network model, and extracting deep features representing the topological structure and node dynamic information of the power distribution network; according to the method, intelligent perception and rapid diagnosis of faults in a distributed power supply environment, dynamic optimization of protection constant values and serialization decision of subsequent control measures are unified in one framework, information sharing and action cooperation are achieved, and fault diagnosis and constant value calculation are processed in parallel in combination with multi-task learning. The adaptive capacity and decision accuracy of complex operation scenes such as high permeability and variable topological structures of the distributed power supply are improved, and an effective guarantee is provided for safe and stable operation of the distributed power supply after the distributed power supply is connected to the power distribution network.

The invention discloses a protection setting calculation and optimization method based on an intelligent power plant management platform, and relates to the technical field of power system protection. By constructing a platform and equipment communication link, integrally collecting and preprocessing internal and external parameters, and dynamically updating topology and model parameters in combination with a switch state, the problem that a traditional static model is difficult to adapt to operation changes is solved, the timeliness and accuracy of the model are improved, a multi-scene database is constructed in a classified mode, labels are labeled, and the efficiency is improved. Fault current distribution is accurately calculated, constant value adaptability verification is carried out, constant value optimization is carried out in combination with a multi-objective optimization algorithm and sensitivity analysis, limitation of single-scene constant values is avoided, constant value conflicts under different scenes are reduced, reliability of initial constant values is guaranteed, sensitivity analysis is superposed, it is ensured that the constant values are still reliable during parameter fluctuation, and the reliability of the constant values is improved. The risk of protection operation refusal and misoperation is reduced, a constant value is issued, the device state is monitored in real time, evaluation indexes are calculated, the constant value is controllable in the whole process, and stable operation of the device is guaranteed.

The invention discloses an electric leakage intelligent monitoring platform, and relates to the technical field of electric quantity monitoring, and the platform comprises a plurality of modules: a current data collection and storage module which collects, preprocesses and stores current data in real time and then calls a trip analysis module; the tripping analysis module analyzes the data to judge whether tripping occurs or not, and correspondingly calls an alarm or electric leakage analysis module; the electric leakage analysis and refreshing module determines to refresh data or call the trend trip analysis module according to the electric leakage amplitude; and the module judges whether to tend to trip according to the trend factor. On one hand, the tripping alarm module can quickly position a tripping line and notify operation and maintenance personnel, so that the fault repair time is shortened, and the maintenance cost is reduced; and on the other hand, the tripping trend condition is analyzed in real time by calculating the tripping trend factor, early warning is performed in advance, tripping is prevented, power supply safety and continuity are guaranteed, and hidden dangers are reduced.

The invention discloses a load current fault diagnosis and protection system, and relates to the technical field of power electronic equipment fault diagnosis, a current data acquisition module is used for acquiring a real-time current sampling value and a current sampling timestamp of load equipment, and synchronously acquiring operation condition parameters of the load equipment; and the current anomaly index calculation module is used for calculating a current fluctuation anomaly index and a working condition adaptation anomaly index according to the real-time current sampling value, the current sampling timestamp and the operation working condition parameters, and superposing the current fluctuation anomaly index and the working condition adaptation anomaly index to obtain a comprehensive current anomaly index. According to the method, the current data and the working condition parameters are synchronously collected, the multi-dimensional abnormal indexes (current fluctuation and working condition adaptation) are constructed, the problems of misjudgment and missed judgment of traditional single threshold value diagnosis are solved, the current abnormal degree can be accurately quantified by integrating the current abnormal indexes, and a scientific basis is provided for fault recognition.

The invention relates to the technical field of bus duct thermal protection, in particular to a bus duct thermal protection method and system based on intelligent monitoring, and the method comprises the steps: obtaining a packet loss delay bandwidth generation state label, calling an unstable link collection path node congestion rate port number to generate a scheduling table, collecting a temperature rise rate displacement, calculating a thermal slope and combining field disturbance to obtain a trigger value, and comparing thermal triggering with thermal accumulation to identify a high-temperature-sensitive section mark, and calling the mark to compare a cutoff threshold value to generate a starting result. By collecting multi-dimensional data such as packet loss, delay and bandwidth for dynamic analysis, the state of a communication link can be evaluated in real time, an unstable link can be found, an accurate triggering boundary value is generated by combining parameters such as thermal load, electric field intensity and harmonic waves, cooling or power-off protection is started in time by matching with a heat flow trend before a high-temperature-sensitive area appears, and the reliability of the system is improved. Response lag of a traditional technology is avoided, an intelligent response mechanism is innovated to achieve accurate and flexible thermal protection, stable and safe operation of equipment is guaranteed, and overheating accidents are reduced.

The application discloses and realizes a dual-mode multi-load loop arc fault detection system, and aims at the problems of insufficient precision of existing real-time arc fault detection devices and high-load continuous operation of equipment, etc., divides the fault arc into two kinds of starting arc and process arc, and uses different modes of detection methods according to different conditions of starting fault and process fault, adopts a characteristic value partition detection method in the process mode, and makes the method tend to be simple under the condition of ensuring accuracy and real-time performance. The method takes an stm32H7 as a core microprocessor, is matched with a conditioning circuit, a power supply circuit, a data acquisition circuit and a wireless communication circuit to form a dual-mode fault diagnosis system. The application has the characteristics of high monitoring precision and high speed, and has strong popularization value and use value.

The invention relates to a power transmission line fault diagnosis method and device based on edge calculation and a medium. The method comprises the following steps: acquiring image information about first power transmission equipment; if the image information comprises fault feature information, fault information about the first power transmission equipment is generated, a current optimal path is determined according to first path related information currently stored in the first power transmission equipment, and the current optimal path comprises multiple pieces of target power transmission equipment arranged in sequence; the first power transmission device sends the fault information and the current optimal path to a first target power transmission device arranged at the first position, and the first target power transmission device sends the fault information and the current optimal path to a second target power transmission device arranged at the second position in the current optimal path; and repeating the steps until the fault information is sent to a communication base station corresponding to the communication module. The problem that fault information of power transmission equipment in a remote mountainous area cannot be found and obtained in time is solved.

A pre-assembled switchboard has a housing having a plurality of bus bars and a cable entrance for a plurality of sub-circuit cables and a sub-circuit termination block with conductor coupling elements configured for connection to the conductors of a plurality of sub-circuit cables. Circuit protection devices are connected between the bus bars and the sub-circuit termination block, and the conductor coupling elements being grouped by sub-circuit so that the conductors for each sub-circuit cable can be terminated adjacent to each other.

The invention provides a micro-grid multi-energy coordinated scheduling method and device, and the method comprises the steps: building a multi-energy coordinated scheduling optimization model containing time-varying constraints through obtaining the data of a photovoltaic power generation system, an energy storage system and a load system in a micro-grid, and carrying out the optimization solving through employing an improved particle swarm optimization algorithm, and designing a gridding vector current control strategy to realize fault ride-through control, executing multi-energy coordinated scheduling control, and realizing stable operation of the micro-grid through hierarchical execution. According to the method, the problem that a traditional micro-grid dispatching method is insufficient in stability and economical efficiency in the face of renewable energy source uncertainty and power grid faults is solved, and the reliability and economical efficiency of micro-grid operation are improved.

A WMU data analysis system and associated method are for monitoring an electrical power delivery system. The disclosed techniques entail processing synchro-waveform data to classify an event type and estimate, based on an impedance component and the event type, an event location so as to reduce a number of candidate inspection sites in the electrical power delivery system for inspection by a maintenance team.

The embodiment of the invention discloses a potential risk detection and service life prediction method and device for an outdoor battery and a medium. A specific embodiment of the method comprises the following steps: acquiring relaxation voltage curve information, impedance spectrum information, lithium dendrite growth thickness information and battery internal temperature information of a preset battery in an outdoor low-temperature environment; generating battery potential risk detection information; in response to determining that risk detection information representing the risk of ion conduction fracture caused by solidification of the preset battery exists in the battery potential risk detection information, carrying out preheating protection treatment on the preset battery; in response to determining that risk detection information representing the risk that lithium dendrites pierce the diaphragm in the preset battery exists in the battery potential risk detection information, carrying out load cutting protection treatment on the preset battery; generating battery service life prediction information; and carrying out battery replacement early warning processing. According to the embodiment, the use stability and the use safety of the battery are improved.

To provide a power supply control device capable of estimating correct wire temperature with respect to a plurality of kinds of loads whose current values for driving are different, a power supply control method, and a computer program.SOLUTION: A power supply control device for vehicles, designed to control power supply to a load based on the temperature estimation result of wires connected to the load, includes a change part for changing a parameter of temperature estimation according to the load and an estimation part for performing the temperature estimation by using the changed parameter.SELECTED DRAWING: Figure 4