1041results about "Testing electric installations on transport" patented technology

The invention discloses a driver controller detection system, which comprises an acquisition module, an acquisition module, a processing module, an identification module, a judgment module, an analysis module and a generation module, the acquisition module captures contact information and electromagnetic interference data of contacts in real time by means of a high-dynamic voltage sensor and a broadband EMC probe; the acquisition module is triggered by a locomotive signal and records dynamic working condition data; the processing module aligns the data, performs denoising and extracts fault parameters; the identification module scans the voltage waveform and judges the transient contact failure; the judgment module monitors EMC data and compares an instruction position, and judges misoperation; the analysis module analyzes fault association, judges a composite type and triggers an alarm; the generation module generates a detection report and a log. According to the system, a multi-dimensional monitoring network is constructed under a dynamic working condition, data reliability is guaranteed, faults are accurately identified, a compound fault source is positioned, and the safety and stability of locomotive operation are improved through risk grading early warning and automatic reporting.

The invention relates to the technical field of control and regulation, in particular to a new energy automobile battery health state prediction system which comprises a data acquisition module, a quantum feature evolution module, a digital twinning prediction module, a dynamic control module, a federal learning evolution module and a quantum verification module. The data acquisition module generates a spatio-temporal data base. The quantum feature evolution module outputs an ion desolventizing agent energy barrier change gradient, and the digital twinborn prediction module eliminates prediction offset through compensation and correction when the environment changes suddenly. The dynamic control module generates an environmental adaptation degradation suppression strategy. The federal learning evolution module encrypts transmission attenuation data and updates global model parameters, and the quantum verification module verifies the causality of a control instruction and rolls back to a safe steady state when the control instruction fails. The system forms quantum sensing, environment modeling, prediction compensation, risk suppression, model evolution and a safety verification closed loop, the battery life prediction precision in a dynamic environment is improved, and safety maintenance lag caused by environment sudden change is eliminated.

The invention relates to the technical field of radio orientation, in particular to an unmanned aerial vehicle flight state detection method based on a frequency spectrum detection technology, which comprises the following steps: acquiring an initial time domain signal of an initial frequency spectrum signal of an unmanned aerial vehicle in a monitoring period in a flight process; segmenting the initial time domain signal according to the flight state so as to screen out each complex change time period; performing signal decomposition on the time domain sub-signals in each complex change time period to obtain a plurality of components; and determining an interference frequency tendency index of each component, determining an interference characteristic comprehensive index of each component according to the interference frequency tendency index of each component, the oscillation intensity characteristic value and the correlation coefficient, and reconstructing the frequency spectrum sub-signal corresponding to the time domain sub-signal to obtain a target frequency spectrum signal. According to the method, the data reference value of the target spectrum signal obtained through adaptive filtering is larger, and the accuracy of detection of the flight state of the unmanned aerial vehicle is improved.

The invention discloses an adaptive weighted physical information neural network-based monomer voltage prediction method. The method comprises the steps of constructing a sample set according to real vehicle battery multi-dimensional time domain data; establishing a physical branch output monomer voltage physical prediction vector based on an equivalent circuit model; constructing data branches based on a graph attention mechanism to extract node time sequence features to obtain a data-driven prediction vector; a residual error is calculated, a compensation module generates a correction amount, and the correction amount is superposed to a physical prediction vector to obtain a final prediction result; and constructing a multi-step loss function of physical loss and data loss, and introducing an adaptive weighting mechanism to dynamically adjust loss weight iteration optimization parameters. According to the method, the precision and stability of single voltage prediction under a complex operation condition are effectively improved, and the adaptability and generalization performance of the model are enhanced.

The invention discloses an electric vehicle BMS battery state accurate monitoring system, and relates to the technical field of battery state monitoring, and the method comprises the steps: obtaining a multi-dimensional battery operation parameter set; inputting the multi-dimensional battery operation parameter set into a preset multi-physical field coupling model, and extracting a battery state correlation characteristic quantity according to electrochemical reaction characteristics and a heat conduction rule; calculating to obtain SOC, SOH and SOE initial parameters of the battery; the estimation deviation of battery aging is eliminated, and calibrated core parameters are obtained; identifying a fault type and a corresponding risk level; and synchronizing the calibrated core parameters, fault information and risk early warning signals to the vehicle-mounted terminal and the cloud platform in real time. According to the invention, a multi-physics field coupling modeling and estimation system is constructed, aging and temperature dual calibration of SOC and SOE is realized through SOH derivation characteristics, fault traceability and a double-end synchronization mechanism are linked, and accurate monitoring of the battery state under a complex working condition is achieved through modular collaborative design.

The invention provides an energy management strategy verification platform for a plug-in series hybrid power ship propulsion system. The energy management strategy verification platform comprises a power source module, a power output module, a load simulation module, a transmission module, a sensor measurement module and a control system module, the power source module outputs electric energy through multi-energy cooperation; the power output module generates propelling power according to the electric energy; the load simulation module simulates load characteristics according to the propulsion power; the transmission module is connected with the power source module and the power output module as well as the power output module and the load simulation module; the sensor measurement module collects operation parameters of the verification platform; and the control system module executes an energy management strategy according to the operation parameters and outputs a control instruction. A graphical programming environment is constructed by adopting a modeling code automatic generation system, and a strategy rapid prototype development verification closed loop is formed in combination with a range extender intelligent start-stop control strategy and a multi-mode power generation control strategy.

The invention belongs to the technical field of aerospace, and discloses an aviation electrical system insulation detection device which comprises a shell and an overall frame serving as the insulation detection device. The display screen is used for displaying measurement data in real time; the function key group integrates the functions of measurement mode switching, data retention and insulation test starting; according to the conversion assembly, through the linkage design of the rotating disc and the rotating switch, the problem that functions cannot be switched when the two hands of a traditional insulation detection device are occupied is thoroughly solved, a worker only needs to rotate the rotating disc with the hand of supporting equipment, the rotating switch can be driven through the driving mechanism, switching of insulation test voltage gears is completed with one hand, and the working efficiency is improved. Compared with a traditional device which needs to frequently put down a connecting line and manually rotate a switch, the design simplifies the operation steps from three steps to one step, shortens the single function switching time, and remarkably improves the efficiency and safety of high-altitude operation or narrow space detection.

The invention relates to the technical field of lithium battery health state prediction, in particular to a lithium battery health state prediction method and system, and the method comprises the following steps: initializing a basic health state estimation value for a battery cell, and correcting the internal resistance of the battery cell in combination with real-time operation data; analyzing an independent characteristic quantity from the real-time operation data of the battery cell by combining the corrected internal resistance and a basic health state estimation value; calculating the initial health state of each battery cell based on the corrected internal resistance and the independent characteristic quantity; according to the heat distribution characteristics in the battery pack, correcting the initial health state to obtain the final health state of the battery cell, and performing fusion calculation on the overall health state of the battery pack; updating the final health state to a basic health state estimated value of the next round of prediction; and based on the overall health state, performing feedback adjustment on subsequent prediction. According to the application, the influence of the temperature gradient in the battery pack on the internal resistance and health state evaluation of each battery cell can be dynamically sensed and compensated, and the prediction precision and consistency can be improved.

The invention discloses a dynamic equalization window optimization method for a power battery pack, and the method comprises the steps: collecting the real-time operation data of the battery pack, and determining a continuous aging characteristic parameter containing a capacity fading rate; a state estimator is used for calculating the state of charge of a single body, and a total estimation error is decomposed into four independent multi-source uncertainty components including measurement noise, model mismatch, aging parameter time variation and temperature nonuniformity; differential safety margin is calculated based on the source heterogeneity of the uncertainty component, and dynamic equilibrium window parameters adaptive to the attenuation state of the monomer are constructed through a continuous mapping function in combination with the continuous aging characteristic parameters; and generating a balance control instruction based on the window parameter. Through multi-source uncertainty decomposition and continuous aging factor shaping, accurate quantification of a safety boundary and smooth self-adaption of an equalization strategy are realized, the problems that error sources are not distinguished and strategy switching jitters are solved, and the equalization safety and efficiency of the whole life cycle are improved.

The invention relates to the technical field of control systems, and particularly discloses an intelligent control system for an insulation test of a marine dry-type transformer. The system comprises a high-voltage test power supply module, a multi-mode sensing acquisition module, an insulation state evaluation module, a self-adaptive boost decision module and a test process control module, and evaluates an insulation state and dynamically decides a boost rate and a holding strategy by acquiring voltage, leakage current, partial discharge and temperature data in real time. Intelligent control and safety protection in the insulation test process are achieved, potential insulation damage is effectively avoided, and diagnosis precision is improved.

The invention relates to a new energy automobile operation safety detection system, a detection method and a prediction method, relates to the technical field of new energy automobile detection, and solves the technical problems that in the prior art, new energy automobile operation safety detection equipment is complex in structure and low in detection precision and does not have an early warning system for operation safety. The detection system comprises an industrial personal computer, a license plate recognition module, an OBD reading module, a resistance measurement module, a CAN reading module, a direct current charging module, a control switch, a host, a cloud server and a direct current charging gun. Through arrangement of the resistance detection module and the direct current charging gun, the alternating current charging port detection end and the potential equalization detection end which are directly connected with the resistance detection module, the structure of the new energy automobile operation safety detection equipment is simplified, and the detection precision of insulation resistance and potential equalization is also improved.

A method for virtual evaluation of on-road energy consumption of a new energy vehicle, comprising: constructing an evaluation route on the basis of cities where a vehicle is used and typical routes of said cities; generating an on-road working condition library on the basis of the evaluation route, a month, a weather condition, a road condition and a vehicle usage period; acquiring test data of the vehicle under different working conditions; determining evaluated energy consumption on the basis of the test data; determining a nominal energy consumption discrete coefficient on the basis of the evaluated energy consumption and nominal energy consumption; determining average comprehensive energy consumption on the basis of the evaluated energy consumption; and determining an energy consumption level of the vehicle on the basis of the nominal energy consumption discrete coefficient and the average comprehensive energy consumption. Also disclosed is an apparatus for virtual evaluation of on-road energy consumption of a new energy vehicle. Even without large-scale road testing, on-road energy consumption can still be efficiently and conveniently evaluated in numerous cities and diverse vehicle usage scenarios.

One aspect of the invention relates to a bidirectional on-board charger 2 for a vehicle 1, comprising:a bidirectional AC-to-DC converter 8 designed to supply power to an electrical power supply socket 6 for an external electrical device;means for detecting an electrical insulation fault 9, connected to a phase line 12 and to a neutral line 13 of said electrical power supply socket 6; a switch 16 arranged on said phase line 12; a switching means 18 designed to control the switch 16 between a first position P1 in which the means 9 are connected to the socket 6 and a second position P2; a resistor 20 which, when the switch 16 is in the second position P2, is electrically connected to the switch 16 and to a ground 10 of the vehicle.

The invention relates to the technical field of automobile voltage, and discloses a voltage dynamic monitoring control method and system for an automobile speed regulation module and a storage medium, and the method comprises the steps: carrying out the covariant analysis of a real-time voltage sequence and a demand parameter sequence, and obtaining an expected voltage fluctuation and an abnormal voltage fluctuation; when the amplitude and the change rate of the expected voltage fluctuation are increased, the upper threshold and the lower threshold of the reference voltage safety line are correspondingly enlarged, and a dynamic voltage safety line is obtained; performing correlation analysis on the grade of the heat dissipation load signal, the priority of the instant load scheduling signal and the severity of the abnormal voltage fluctuation to obtain an electric power operation situation index; constructing a virtual voltage track by taking the electric power operation situation index as a node and combining the change trend of the abnormal voltage fluctuation; when the virtual voltage track approaches or passes through the dynamic voltage safety line, a prospective compensation instruction is generated, an optimal compensation strategy is generated, and abnormal voltage fluctuation is inhibited; according to the invention, the efficiency of voltage dynamic monitoring control of the automobile speed regulation module can be improved.

The invention relates to an electrically powered vehicle with a battery system installed in the vehicle floor (3), in whose battery housing (5) battery cells (7) are arranged, wherein the battery housing (5) has an underride guard (11) on its underside, which protects the battery cells (7) from an impact event in which a foreign object strikes the underride guard (11) during driving, or from a bottoming-out event in which the vehicle comes into contact with a road-side obstacle. Exceeding a critical load during an impact or bottoming-out event causes pre-damage to the battery system, leading to long-term damage to the battery system. According to the invention, a detection unit (33) is provided for the unambiguous detection of the pre-damage resulting from the impact or bottoming-out event, by means of which the pre-damage can be detected.

The present application relates to a lithium-plating-risk determination method and apparatus for vehicle-side battery cells, and a device, a storage medium and a product. The method comprises: firstly determining the current pulse charge / discharge operating condition on the basis of a pulse charge / discharge request; then, acquiring an SOC dataset and a voltage dataset of a vehicle-side battery cell under the current pulse charge / discharge operating condition; if SOC data within a lithium-plating-risk SOC interval is present in the SOC dataset, further acquiring voltage data corresponding to the SOC data; and if the voltage data exceeds a critical lithium-plating-risk voltage, determining that the vehicle-side battery cell has a high lithium plating risk.

An example isolation measurement circuit includes a first switch connecting a first isolation resistor to a terminal of a measurement resistor, the first isolation resistor also connecting to a positive bus of a power distribution system. The isolation measurement circuit also includes a second switch connecting a second isolation resistor to the terminal of the measurement resistor, the second isolation resistor also connecting to a negative bus of the power distribution system. The isolation measurement circuit also includes a pulse generator that connects the measurement resistor to chassis ground.

The invention provides a safety early warning method and system for a discharge process of V2G equipment, and electronic equipment. The method comprises the steps of obtaining multi-dimensional monitoring parameters of the V2G equipment in the discharge process; performing feature extraction on the multi-dimensional monitoring parameters to obtain feature information used for representing the running state of the V2G equipment in the discharging process; executing preset data fusion analysis based on the feature information to obtain a system security state evaluation result; comparing the system safety state evaluation result with a preset early warning threshold value, and determining a corresponding early warning level; and generating an early warning strategy corresponding to the early warning level, and outputting corresponding early warning information based on the early warning strategy. In the mode, by acquiring the multi-dimensional monitoring parameters in the discharge process of the V2G equipment, potential safety hazards in the discharge process can be accurately identified, so that the accuracy and timeliness of a safety early warning result are guaranteed, and the operation stability and reliability of the interaction process of the V2G equipment and a power grid are further improved.

The invention discloses an electric driving system state monitoring method, device and equipment and a medium, and relates to the field of electric driving system monitoring, and the method comprises the steps: obtaining a multi-source heterogeneous signal of an electric driving system; the multi-source heterogeneous signals comprise an electrical signal, a mechanical signal, a thermal signal and an environment signal; the multi-source heterogeneous signal is preprocessed, and a processed signal is obtained; performing dynamic weight multi-source signal fusion analysis processing on the processed signal to obtain operation state data of the electric drive system; performing cooperative judgment processing on the operation state data through a pre-constructed digital twinborn model to obtain a target state result; the digital twin model is constructed based on a three-dimensional geometric model, physical characteristics and an operation mechanism of the electric drive system. According to the technical scheme, the accuracy of state monitoring of the electric drive system is remarkably improved, and early faults and potential risks are effectively recognized.

The invention discloses a method and system for testing the matching degree of a fuse and a wire for an automobile wire harness, and the method comprises the steps: collecting the physical parameters of the wire, the rated parameters of the fuse and a safety matching threshold value, synchronously collecting various parameters, such as aging, environment, load current and the like, calculating various correction factors, and correcting to obtain the dynamic current-carrying capability of the wire. And calculating a matching degree risk early warning index and a self-adaptive matching adjustment coefficient, executing an adjustment operation, and performing dynamic cycle monitoring. The system is correspondingly provided with multiple types of acquisition, calculation and adjustment modules. According to the scheme, the problem of coupling mismatching caused by static matching in the prior art is solved, dynamic accurate matching is achieved, and the use safety and stability of the automobile wire harness are guaranteed.

The invention discloses an electromagnetic compatibility detection method and device of a rail transit signal system and electronic equipment, and relates to the technical field of electromagnetic safety. Determining an actual electromagnetic compatibility area corresponding to the equipment according to the actual distance between the actual installation positions of the multiple pieces of equipment of the rail transit signal system and a target reference line on a rail; and determining the electromagnetic interference risk condition between the relation pairs based on the electromagnetic interference information of the actual electromagnetic compatibility area corresponding to the equipment. According to the method, the electromagnetic interference scene of the actual rail transit signal system is analyzed to cover the random and coexisting electromagnetic interference combination of the field, so that the confidence coefficient of the risk assessment result in the complex electromagnetic environment of the field is improved, and the analysis is ensured to cover the random and composite scene which cannot be reproduced by the standard test; moreover, the electromagnetic interference risk condition between a relation pair formed by a plurality of devices in the rail transit signal system is determined, that is, systematic evaluation of complex electromagnetic interaction is realized through system-level analysis.

A commercial vehicle rear brake lamp fault diagnosis method and system and a storage medium, and the method comprises the steps: determining the change characteristics of the working current of each brake lamp along with the working temperature based on the working current and working temperature of each brake lamp collected in real time; the load type of each brake lamp is determined according to the change characteristics; the load type comprises a halogen bulb and an LED module; presetting a plurality of diagnosis parameters and acquiring parameter values of the diagnosis parameters in real time; based on a preset weight coefficient of each diagnosis parameter, performing weighted fusion calculation on each parameter value to obtain a fault confidence coefficient of each brake lamp; and performing real-time fault diagnosis on each brake lamp according to each parameter value of each brake lamp and the fault confidence in combination with a diagnosis strategy corresponding to the load type of each brake lamp. The technical problem that the fault misjudgment rate is high under complex working conditions due to the fact that a preset mode is mainly adopted in the prior art, the load class of the rear brake lamp of the trailer is configured with a fixed diagnosis threshold value, and fault judgment is carried out only depending on a single parameter is solved.

The invention relates to the technical field of vehicle part testing, and discloses a vehicle refrigerant valve durability testing system based on multi-parameter coupling control. Comprising a power supply and refrigerant medium supply module, a multi-parameter coupling environment simulation module, a refrigerant valve driving control module, a multi-parameter acquisition and coupling control module, a refrigerant valve special test tool module, an upper computer processing module and a safety protection module. The upper computer processing module serves as a center to be connected with all the modules, the power supply module provides power and refrigerant circulation, the environment simulation module provides coupling environment conditions, the drive control module outputs valve drive signals, the collection coupling control module achieves parameter closed-loop control, the tool module is provided with a test refrigerant valve, and the safety protection module monitors and responds to potential safety hazards. The system realizes cooperative control of environmental parameters-refrigerant parameters-valve actions, accurately simulates the working condition of a real vehicle, has efficient parallel test and safety protection capabilities, and improves the reliability and efficiency of the durability test of the vehicle refrigerant valve.

Electrical storage system with: an electrical storage device (10); a load (20); a line (PL) configured to connect the electrical storage device (10) and the load (20); a relay (SMR-G) that is provided in the line (PL); a capacitor (C11) which has one end connected to the electrical storage device (10) and the other end connected to a ground; a voltage sensor (21) configured to detect a voltage value of the capacitor (C11); a first insulation resistance (RB) which is set up between the electrical storage device (10) and the ground; a second insulation resistor (RL) which is installed between the load (20) and the ground; a first current path (L1) which includes the first insulation resistance (RB); a second current path (L2) comprising the conductor (PL) and the second insulation resistance (RL); and a control unit (50) that is configured to (a) Controlling ON and OFF of the relay (SMR-G), and (b) Determine that the relay (SMR-G) is blocked in an ON state if the voltage value is substantially equal to a second voltage value in a case where control to turn off the relay (SMR-G) is carried out, where a first resistance value is higher than a second resistance value, the second voltage value is higher than a first voltage value, the first resistance value is a resistance value of the first insulation resistance (RB), the second resistance value is a resistance value of the second insulation resistance (RL), the first voltage value is a voltage value when a discharge current of the electrical storage device (10) flows to the capacitor (C11) in the first current path (L1), the second voltage value is a voltage value when the discharge current of the electrical storage device (10) flows to the capacitor (C11) in the second current path (L2).

The present application relates to the technical field of automobile electric performance test, in particular to a lateral acceleration and yaw angle combined simulation device and a use method thereof, comprising a fixing frame and a signal generating assembly, the fixing frame is provided with a power assembly, the fixing frame is further provided with a transmission assembly connected with an output end of the power assembly, an executing mechanism is arranged on the transmission assembly, the signal generating assembly is arranged on the executing mechanism, and the signal generating assembly is connected with an ESP and a signal receiver of an automobile through a transmission unit. Advantageous effects: the power assembly provides power for the movement of the executing mechanism, the executing mechanism simulates the state of the automobile when it makes a sharp turn, the lateral acceleration and yaw angle sensors collect the movement state signals of the signal generating assembly, and the collected signals are transmitted to the ESP system of the automobile through the transmission unit, the ESP system transmits the signals to the ECU electronic control unit of the automobile, the ECU finally transmits control signals to the whole vehicle to adjust the running state of the automobile, and finally the dynamic electric performance of the automobile ESP is tested.

A method for monitoring battery cells of a motor vehicle includes detecting a time series of cell status variables characterizing the battery cells, determining a status vector by inputting the time series into a first neural network, determining an impedance spectrum of the battery cells by impedance spectroscopy, and determining status information for monitoring the battery cells by inputting the impedance spectrum and the status vector into a second neural network.

SOLUTION: A battery controller comprises: a memory in which a program for battery diagnosis is recorded; and a processor configured to execute the program for battery diagnosis. When the processor executes the program for battery diagnosis, the processor determines a long-term average voltage value and a short-term average voltage value by applying a first average filter of a first time length and a second average filter of a second time length shorter than the first time length to a voltage value indicating a cell voltage of a battery cell, and compares a voltage deviation which is a difference between the long-term average voltage value and the short-term average voltage value with at least one of a first critical deviation and a second critical deviation to diagnose an anomaly of the battery cell.SELECTED DRAWING: Figure 1

The invention provides a detection system and a detection method for an exhaust fault of a super capacitor, and a vehicle. The detection system comprises a detection unit which comprises a pressure sensor, and the pressure sensor is configured to detect the pressure of the super capacitor; a determination unit configured to determine whether the pressure sensor is normal and whether the detected pressure exceeds a first threshold for a first time; and the execution unit is configured to respond to the situation that the pressure sensor is normal and the detected pressure exceeds a first threshold value for a first time, determine that the super capacitor has an exhaust fault and provide an alarm signal. According to the invention, the pressure change in the super capacitor is detected in real time through the pressure sensor, and the abnormal change of the pressure can be monitored at the initial stage of a fault, so that problems can be found as soon as possible, and more serious faults or damages can be avoided.

The invention relates to the technical field of detection control, in particular to a steering gear detection system based on an embedded digital circuit, which comprises a control linked list module, a signal mapping module, a state acquisition module, a deviation calculation module and a regulation and control correction module. According to the invention, the torque value and the vehicle speed value are written into the embedded digital register according to the control period sequence, and the stepping sequence is constructed, so that the timing sequence precise sorting of the control instruction can be realized, the digital sampling packet is generated by using the feedback current, voltage and angle signals, and the synchronous frame is marked, and the unified analysis mechanism of the periodic feedback behavior is realized. The error percentage value and the tolerance threshold value are compared to count the deviation times, the abnormal condition of the response stability is quickly identified, the deviation trend is tracked and controlled by means of a continuous voltage recursion correction mode, output parameters are dynamically adjusted, and a periodic closed-loop correction capability and a node-level real-time regulation and control mechanism are provided. And the data accuracy, the feedback real-time performance and the control stability in the detection process of the steering gear are effectively improved.

A trailer light monitoring module is configured to electrically couple with lights on a trailer and include an input configured to receive electrical power from a battery; an output configured to electrically couple with lights on a trailer and selectively communicate the electrical power from the battery; a learning button, the activation of which determines a quantity of possible channels through which trailer lights could receive electrical power, and also determines how many of the quantity of possible channels actually receive electrical power; and a plurality of channel diagnostic blocks each including a tunable current sensor having a variable resistor that is tunable based on an output voltage received.