74 results about "Electrical cell signaling" patented technology

The invention relates to the technical field of battery management systems, and particularly discloses a battery signal acquisition precision optimization method of a BMS (Battery Management System), which comprises the following steps of: dynamically adjusting a covariance matrix of process noise and measurement noise by monitoring the voltage, current and temperature of a battery in real time so as to cope with the change of the working state of the battery; according to the change trend of the charge and discharge rate and the temperature, noise parameters are predicted and corrected, and the adaptability of the system in an extreme environment is improved; in combination with data from a plurality of sensors, weighted average and a self-adaptive adjustment mechanism of a Kalman filter are adopted, so that evaluation of the system on signal quality of different sensors and effective suppression of noise are enhanced; aiming at the sudden change of the battery state, the system can be ensured to quickly respond by automatically adjusting the filtering algorithm, the accurate monitoring of the battery health state is ensured, the stability and the accuracy of the battery management system can be improved, and the problem of estimation error under the extreme working condition of a traditional method is solved.

The invention relates to the technical field of electric forklifts and energy storage, and discloses an intelligent battery management system and prediction method based on optical fiber sensing, the system comprises a distributed optical fiber sensing network, a data acquisition and processing module, an intelligent analysis decision module, a battery management control module and a cloud platform interaction module; the method comprises the following steps: collecting a battery signal through a snakelike-spiral optical fiber network, reconstructing a temperature / strain field through noise reduction and filtering, extracting multi-modal features, inputting the multi-modal features into an LSTM model to predict thermal runaway, generating a risk level in combination with an improved equation, dynamically adjusting charging, discharging and heat dissipation strategies, and realizing three-dimensional visual monitoring through a cloud platform. According to the invention, high-precision distributed monitoring of the temperature / strain field of the battery pack is realized through the BOTDR optical fiber sensing network, the LSTM prediction model is constructed by fusing multi-physical field characteristics, and thermal runaway is warned in advance. The improved algorithm reduces the false alarm rate, charging and discharging parameters are dynamically adjusted to prolong the service life of the battery, and a three-dimensional visual platform improves the operation and maintenance efficiency.

The invention discloses an energy storage equipment lithium ion battery connection fault diagnosis method, relates to the technical field of energy storage equipment lithium ion battery management systems, and is used for solving the problem of battery connection faults. According to the method, battery voltage and current data are obtained in real time. And a dynamic multi-modal filtering mechanism is designed, and different filtering methods are adopted for different environmental noise characteristics. And the noise is further accurately identified and filtered by calculating the ambient temperature and humidity and the spectrum characteristics in the battery signal. A data forgetting mechanism is introduced, a self-adaptive window optimization mechanism is adopted, the window length is automatically adjusted according to the voltage fluctuation real-time change rate, the battery state change is quickly responded, and the diagnosis sensitivity and adaptability are improved by dynamically adjusting the time window and the data weight through a weighted updating mechanism. And based on correlation coefficient analysis, the battery connection state is judged, and accurate fault diagnosis is realized. According to the method, the safety and the stability of the energy storage equipment are effectively improved, and the method has high practical application value.

The invention relates to the technical field of energy storage battery simulation, and discloses an energy storage battery module simulation method and system based on machine learning. The method comprises the steps of collecting battery signal circuit data of a BMS system in charging and discharging circulation of an energy storage battery pack, extracting voltage fluctuation characteristics and current ripple characteristics of an energy storage high-voltage box, and constructing a multi-dimensional dynamic parameter matrix reflecting the internal state of a battery according to time sequence alignment; carrying out dimensionality reduction compression on the matrix through an encoder of the generative adversarial network to generate a battery state hidden variable; dynamic evolution modeling is carried out on hidden variables by utilizing a time sequence convolutional network, and hidden variable tracks of three charge and discharge cycles in the future are predicted; and performing reverse decoding to generate a simulation battery signal, and outputting a simulation data flow containing voltage, current and temperature parameters. According to the method, the multi-dimensional features and the time sequence modeling capability are fused, accurate simulation of the running state of the energy storage battery module is achieved, and the method is suitable for diversified application scenes.

The utility model relates to a signal detection device which comprises a host structure and a patch electrode connected with the host structure in a non-releasable mode, and the patch electrode is configured to be attached to an object to be detected to collect electric signals. The host structure comprises a shell, a battery and a signal processing module, wherein the battery and the signal processing module are located in the shell, and the signal processing module is used for processing collected electric signals to obtain detection data. The full-throwing type signal detection device provided by the embodiment of the utility model has the advantages of being simple, convenient and reliable to start up and the like.

The invention discloses a lithium ion battery multi-fault grading diagnosis method and system based on a large language model, and relates to the field of lithium ion battery safety control. The disproportionation degree of a battery pack to be detected is calculated based on a battery signal; performing down-sampling on the battery signal based on the disproportionation degree to obtain a down-sampled battery signal; constructing a fault classification task prompt word based on the down-sampled battery signal, and inputting the fault classification task prompt word into a fault classification large model to obtain a fault type and a battery signal sequence corresponding to the fault; calculating a voltage variance quantile based on the battery signal sequence corresponding to the fault, and constructing a fault grading task cue word based on the voltage variance quantile; and inputting the fault grading task cue word into the fault grading large model to obtain a fault grade. With the help of the excellent nonlinear fitting capability of the large model, tiny faults are accurately captured under complex working conditions; and meanwhile, the multi-task parallel processing capability of the large model is exerted, and fault classification and diagnosis functions are realized under the same base model.

The utility model relates to the technical field of safety helmets, and discloses an externally-hung recorder which comprises a U-shaped recorder, the U-shaped recorder is buckled on a safety helmet through back clips buckled on the two sides of the U-shaped recorder, a camera is installed at one end of a front shell, and an LED lamp is installed at the other end of the front shell. A storage battery, a signal lamp A, a volume key, an on-off key and an illumination key are installed in the side, close to the LED lamp, of the front shell. A two-dimensional code lens and a light sensation lens are arranged on the side, close to the camera, of the rear shell, an SIM card plug is arranged on the side, close to the camera, of the front shell, a camera shooting key, a WIFI key, a charging contact, an SOS key, a hand raising key and a talkback key are arranged on the side, close to the camera, of the front shell, the recorder is convenient to use in the industrial or building environment and easy to operate by a user, and in an emergency, the SOS key can send out a distress signal, so that the recorder is convenient to use. And the talkback key supports real-time communication. The USB interface and the earphone interface facilitate data transmission and audio output, and the overall design gives consideration to safety, portability and multifunctionality, and is suitable for various environments.

The utility model discloses a battery signal acquisition device and an energy storage system, the battery signal acquisition device comprises a plurality of battery packs, the battery signal acquisition device comprises a BIC acquisition board, and the BIC acquisition board is electrically connected with a battery management system and one of the battery packs so as to be used for acquiring a battery signal of one of the battery packs; a battery signal of one battery pack is sent to the battery management system; and at least one FPC circuit board, each FPC circuit board is connected with other battery packs except one battery pack in the battery in a one-to-one correspondence manner, each FPC circuit board is electrically connected with the BIC acquisition board so as to be used for acquiring battery signals of other battery packs, and the BIC acquisition board forwards the battery signals of other battery packs. By adopting the battery signal acquisition device, the acquisition of battery signals of a plurality of battery packs can be realized, the cost of the battery signal acquisition device is lower, the assembly efficiency is higher, and the FPC circuit board is not easy to lose.

The invention discloses a BMS information reading method and device, a storage medium and electronic equipment, and is applied to the technical field of data identification. Communication pins, communication baud rates and information IDs of vehicles are acquired; matching the communication pin with a historical communication pin; when the communication pin is successfully matched with the historical communication pin, matching the communication baud rate with the historical communication baud rate; when the communication baud rate is successfully matched with the historical communication baud rate, matching the information ID with all historical information IDs in a database to obtain all matching degrees; and reading the BMS information according to all the matching degrees. Through matching the communication pin, the communication baud rate and the information ID, the historical information ID with the high matching degree is obtained and displayed, a user can obtain the corresponding BMS information by selecting the displayed historical information ID, key information can be quickly obtained in the diversity of vehicle types, battery brands and battery signals, and therefore the fault diagnosis time is shortened.

This invention relates to the field of battery signal acquisition technology, and discloses a battery pack and power supply device, including: a battery, the battery including a casing and terminals disposed on the casing; a busbar electrically connecting the terminals of two batteries; and a signal acquisition component including a first temperature acquisition module and a second temperature acquisition module, the first temperature acquisition module being electrically connected to the busbar and the second temperature acquisition module being electrically connected to the casing. This invention installs the first temperature acquisition module upside down and the second temperature acquisition module recessed to cooperate with the battery casing, thereby acquiring the casing temperature signal and reducing the space occupied in the height direction of the battery. By comparing the detection results of the first and second temperature acquisition modules, the heat generated during the current transmission process between the terminals and the busbar is determined, and thus the overcurrent capacity between the terminals and the busbar is determined to meet the requirements, ensuring the safety and cycle performance of the battery pack.

This disclosure provides systems, methods and apparatus for cellular communications. In one aspect, a UE determines an FFP of a cell signal for the UE in a frame based equipment mode, determines one or more SSB positions in the cell signal based on the FFP, and performs radio management of the UE based at least in part on the one or more invalid SSB candidate positions. Performing radio management may include using one or more SSB positions in the FFP exclusive of the one or more invalid SSB candidate positions. Radio management may include PDSCH rate matching, radio link monitoring or measurement, or radio resource management. In some implementations, the one or more SSB positions are SSB positions after a first eight SSB positions in an FFP. In some other implementations, the one or more SSB positions are SSB positions that at least partially overlap an idle period between FFPs.

The battery pack structure comprises a mounting frame, a battery pack, a battery signal acquisition plate and at least two current collecting tabs. The mounting frame is used for being mounted on the inner side of the shell of an energy storage device, and a mounting space is formed between the mounting frame and the shell. The battery pack is arranged in the mounting space. The mounting frame is formed with at least two mounting portions. At least one current collecting tab is arranged on each mounting portion, and each current collecting tab contacts one same-potential electrode portion of the battery pack. The battery signal acquisition plate is mounted on the mounting frame, and the battery signal acquisition plate is in contact with and electrically connected with the at least two current collecting tabs, so that the electrical signals of each single battery can be acquired at one time through the battery signal acquisition plate. Therefore, the use of a wire harness in the energy storage device can be greatly reduced, and the influence of crosstalk interference on the acquisition accuracy of the battery signal acquisition plate is reduced.

The invention discloses a urethra suspension system, device and control terminal.The urethra suspension system comprises the urethra suspension device and the control terminal, the urethra suspension device comprises a micro motor, a micro battery, a signal receiving and transmitting module and a lifting mechanism, and the control terminal comprises a signal transmission module and an energy transmitting antenna. The urethra suspension device further comprises an energy receiving antenna and a conversion circuit, and the energy receiving antenna is connected with the miniature battery through the conversion circuit. The energy transmitting antenna transmits an energy signal to the energy receiving antenna through magnetic resonance; and the conversion circuit transmits the electric energy converted by the energy signal to the micro battery. According to the urethra suspension device, the service cycle can be prolonged, the service life of the device is longer, the urethra suspension device does not need to judge the tightness of the suspender, the post-operation tightness is adjustable and can be periodically adjusted, and all patients have good urine control.

The invention relates to the technical field of storage battery intelligent monitoring, in particular to an engineering vehicle storage battery intelligent monitoring system, which comprises an electric parameter sensor, and further comprises a data acquisition unit, a data processing unit, a storage battery monitoring unit and a storage battery monitoring unit, the self-adaptive vibration suppression unit is used for dynamically adjusting the equivalent stiffness of the electrical parameter sensor mounting structure based on the real-time vibration frequency, so that the inherent frequency of the mounting structure deviates from the real-time vibration frequency; the collaborative noise reduction unit is used for determining the center frequency of signal processing based on the real-time vibration frequency, adjusting the signal processing bandwidth associated with the center frequency based on the real-time driving speed, and using the determined center frequency and the adjusted signal processing bandwidth to reduce the noise of the real-time driving speed. And carrying out noise reduction processing on the signal output by the electrical parameter sensor. The problem of storage battery signal acquisition inaccuracy of the road roller under the vibration and variable speed coupling working condition can be solved, and high-precision monitoring is achieved.

The utility model provides a battery signal sampling device and a battery system, and belongs to the technical field of batteries, the battery signal sampling device comprises an isolation plate, a confluence assembly, a flexible circuit board and a battery sampling plate, the isolation plate is provided with a first side surface and a second side surface which are arranged back to back, and the first side surface is divided into a first area and a second area along a first direction; the confluence assemblies are arranged on the first side face in the first direction, the number of the confluence assemblies is at least one, and each confluence assembly comprises a plurality of busbars; the flexible circuit board is arranged in the first area, and the flexible circuit board is electrically connected with the busbar in the first area through the first acquisition piece; the battery sampling board is arranged in the second area, the battery sampling board is electrically connected with the busbar in the second area through the second acquisition piece, and the first end of the flexible circuit board is electrically connected with the second end of the battery sampling board. According to the battery signal sampling device provided by the utility model, the flexible circuit board and the battery sampling board are adjacently arranged on the isolation board, so that the occupied space in the vertical direction is reduced.

The invention relates to the field of intelligent control, and discloses a mining monorail crane control system and method based on modular integration. The system comprises an operation state matrix generation module, an abnormal feature vector generation module, a driving part vibration spectrum generation module, a diagnostic element generation module, a traction dynamic distribution scheme and multi-union self-healing strategy generation module and a joint control signal generation module, and an operation state matrix is generated through time-space fusion based on monorail crane multi-source heterogeneous data; extracting a matrix abnormal feature vector, and outputting a driving part vibration spectrum through adversarial spectrum reconstruction; carrying out wavelet packet sample entropy decomposition by combining a load and a battery signal to generate a diagnosis element; decoupling a fault unit according to the fault rule base, and forming a traction dynamic distribution scheme and a multi-union self-healing strategy; and a joint control signal is generated and wirelessly transmitted to a main control core of the monorail crane. According to the invention, the problems of cascade paralysis caused by local faults and sudden shutdown caused by early weak fault leak detection of the mining monorail crane under the abnormal condition are solved.

The invention provides an early-stage fault diagnosis and early-warning device and method for a battery system, relates to the technical field of battery fault monitoring and diagnosis, and solves the problem that ultra-early-stage and high-reliability fault diagnosis and early-warning are difficult to realize under the internal core architecture of the battery system in the prior art. The device specifically comprises a shell main device, an external interface panel, a state indication panel and a Bat-Doctor processing unit, the state indication panel is located on the front face of the shell main device, the external interface panel is integrated on the side portion of the shell main device, and the Bat-Doctor processing unit is arranged in the shell main device and electrically connected with the external interface panel and the state indication panel. The shell main device is independently and externally packaged, the external interface panel is linked with the battery system to obtain an external battery signal, the state indication panel feeds back a communication and safety state, and the Bat-Doctor processing unit performs preprocessing, feature fusion and diagnosis reasoning on the external battery signal and outputs a diagnosis result. The method is used for battery fault diagnosis.

The application discloses a battery signal acquisition structure and a manufacturing method thereof, a battery pack and a vehicle, and belongs to the technical field of batteries. The battery signal acquisition structure comprises a flexible circuit main body extending along a first direction, a plurality of acquisition components connected with the flexible circuit main body and extending along a second direction, a plurality of busbars arranged on one side of the flexible circuit main body along the second direction and connected with the acquisition components, and a fixing film. Along a third direction, the flexible circuit main body, the plurality of acquisition components and the plurality of busbars are arranged on the same side of the fixing film and are in thermal pressure connection with the fixing film. The flexible circuit main body comprises at least two circuit layers arranged in a stack along the third direction, and the acquisition component comprises a first connecting portion, an expansion portion and a second connecting portion. The application also discloses a corresponding manufacturing method. The above scheme is beneficial to improving the integration of related components, simplifying the assembly relationship and improving the structural arrangement.

Embodiments of the present disclosure relate to methods and systems for decoupling a charging signal from a battery signal. A method at a computing device includes sending a request to a vehicle communication subsystem to determine a number of charging ports on a vehicle; receiving a response providing a number of charging ports on the vehicle; sending a request to a vehicle communication subsystem for finding a battery associated with each charging port; and receiving a response identifying a battery associated with each charging port.

The embodiment of the invention provides a battery signal acquisition system, a battery module and a vehicle, the battery signal acquisition system comprises a plurality of groups of battery cell pole pieces, different battery cell pole pieces are pole pieces of different battery cells in the battery module; and the plurality of flexible circuit boards are in one-to-one correspondence with the plurality of groups of battery cell pole pieces, any group of battery cell pole pieces are welded on a conductive region on the corresponding flexible circuit board, and the plurality of flexible circuit boards are connected with the battery management system. The technical problem that the space utilization rate is low due to the fact that the size of a signal acquisition system is large in the prior art is solved.

The invention belongs to the field of lead-acid battery pack detection, and discloses a lead-acid battery pack signal acquisition system and method.The lead-acid battery pack is composed of a plurality of single batteries, and each battery is provided with a positive electrode, a negative electrode and a row of liquid adding holes; the signal acquisition system comprises a series connection structure used for connecting two adjacent batteries in series, a switching structure used for leading out battery signals, a signal acquisition structure used for acquiring the battery signals and a relay circuit board, and the signal acquisition structure is connected with the relay circuit board in a conducting mode. The circuit is clean and tidy, the material supplementing operation at the liquid adding hole is not affected, the manual wiring cost can be reduced, and meanwhile the production safety performance is improved.

The application relates to the field of electric vehicle battery fault diagnosis methods, in particular to a new energy vehicle battery voltage fault diagnosis method based on operation data, which carries out cleaning treatment on battery signal data to obtain time, charging and discharging data and a voltage matrix; time and the voltage matrix meeting preset conditions are reserved; feature extraction is carried out on the voltage matrix, and a feature matrix D is obtained by calculating each row of data; the feature matrix D is subjected to sliding mean filter processing to obtain a voltage feature extraction matrix; the voltage feature extraction matrix is subjected to sliding calculation, the features of each cell in the window are summed and calculated, and then differential calculation is carried out to obtain a feature value trend change matrix; according to time points, the feature vectors of the voltage feature extraction matrix and the feature value trend change matrix are traversed, whether the feature values meet the conditions is judged, if yes, it is judged as suspected abnormality; if suspected abnormality occurs at the same time in the same cell, it is determined that the final abnormality occurs. The application reduces the false positive rate of fault diagnosis.

The embodiment of the invention provides a BMS hardware-in-the-loop testing system and method, electronic equipment and a storage medium, and relates to the technical field of battery management system testing. The system comprises a simulation machine, an environment simulation cabin, a test bench and a BMS hardware test board, and the simulation machine is used for generating an environment parameter signal and a battery working condition signal and dynamically adjusting test parameters according to a response instruction returned by the BMS hardware test board; the environment simulation cabin is used for adjusting environment parameters of the environment where the BMS hardware test board is located based on the environment parameter signals; and the test bench is used for simulating a battery signal based on the battery working condition signal. According to the method, the coupling effect of the synchronous simulation electric signal and the physical environment is achieved, the test scene can be dynamically optimized according to the real-time response of the BMS, multiple test scenes are covered, the test result is more suitable for the real and complex working conditions of the BMS, and the problem that the BMS performance evaluation by an existing method has deviation compared with the real and complex working conditions is solved.

The present invention relates to the technical field of battery management systems, and specifically discloses a method for optimizing the battery signal acquisition accuracy of a BMS system. By real-time monitoring the voltage, current, and temperature of the battery, the covariance matrices of the process noise and measurement noise are dynamically adjusted to cope with the changes in the battery operating state; according to the changing trends of the charge and discharge rate and temperature, the noise parameters are predicted and corrected to improve the adaptability of the system in extreme environments; by combining data from multiple sensors, an adaptive adjustment mechanism of weighted average and Kalman filter is adopted to enhance the system's evaluation of the signal quality of different sensors and the effective suppression of noise; in response to sudden changes in the battery state, the system can quickly respond by automatically adjusting the filtering algorithm to ensure the precise monitoring of the battery health state. The method of the present invention can improve the stability and accuracy of the battery management system and solve the estimation error problem of traditional methods under extreme working conditions.

To provide a signal sampling module for a battery cell which further improves functional stability of a battery pack by stably maintaining an effective insertion relation between a needle type insertion part and an insertion structure even in a case where vibration is generated in the battery pack, and a battery pack.SOLUTION: A signal sampling module comprises a holder 10, a circuit board 11, a plurality of needle type electric connection materials, and a plurality of signal sampling lines 13. The holder has a first side face 101 and a second side face 102 which are opposed in a first direction. A plurality of insertion structures 110 is provided in the circuit board, and the needle type electric connection material includes a first connection part and a needle type insertion part 1220. The needle type insertion parts of the needle type electric connection materials are inserted into the plurality of insertion structures in one-to-one correspondence. The needle type insertion part is electrically connected to a battery management circuit which is loaded on the circuit board, second connection parts of the plurality of signal sampling lines are correspondingly connected to the first connection parts of the plurality of needle type electric connection materials, and a sampling part of the signal sampling line samples a signal of a battery cell.SELECTED DRAWING: Figure 4

The invention relates to the technical field of battery health state monitoring and evaluation systems, and discloses a battery health state monitoring and evaluation system integrated with a battery management system, which comprises a battery state monitoring unit, and the output end of the battery state monitoring unit is in signal connection with an independent battery detection unit and a battery state analysis unit. And the output end of the independent battery detection unit is in signal connection with a damage feedback unit. According to the battery health state monitoring and evaluating system integrated with the battery management system, signals are transmitted to each independent battery through the battery signal receiving module, after the battery receives the signals through the input module, the battery VIT detection module is used for detection, and when a certain battery in a battery pack breaks down, the battery is monitored. When the battery breaks down, a signal is transmitted to the signal uploading module through the feedback module, and an indicating lamp is lightened through the indicating module, so that the faulty battery can be quickly detected, the complexity caused by troubleshooting one by one is avoided, and the battery maintenance efficiency is improved.

The invention relates to the technical field of battery monitoring, and discloses a battery monitoring method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining battery state signals, including voltage, current, temperature and internal resistance, of a power battery, generating a battery signal set based on the battery state signals, performing embedding representation on the battery signal set to obtain spatial embedding representation and time embedding representation, performing spatial feature extraction on the spatial embedding representation to obtain spatial dependency features, and performing time feature extraction according to the spatial dependency features and the time embedding representation to obtain time dependency features; performing feature fusion on the spatial dependency features and the time dependency features to obtain fusion features, and performing battery monitoring based on the fusion features; according to the method, the change of the battery state signal of the power battery in time and space dimensions is comprehensively considered, and the accuracy and reliability of battery monitoring are improved.

The utility model relates to the technical field of battery signal acquisition, in particular to a battery signal acquisition terminal, a CCS assembly with the battery signal acquisition terminal and a battery pack with the battery signal acquisition terminal. The battery signal acquisition terminal comprises a metal sheet, the metal sheet comprises a body part and a bending part extending from the first end part of the body part, and the metal sheet is provided with an opening formed at the joint of the bending part and the body part.

The utility model discloses a new energy automobile battery module which comprises a plurality of battery monomers arranged in sequence, a plurality of conductive bus metal sheets electrically connected with the battery monomers, and an output connecting terminal used for transmitting battery signals collected from the battery monomers outwards, each battery monomer is electrically connected with at least one conductive bus metal sheet, the lower base film, the upper base film and the plurality of sensing chips are stacked, the plurality of sensing chips are used for sensing the states of the battery monomers, and a plurality of signal transmission wires are laid on the surface, facing the upper base film, of the lower base film. Each signal transmission wire is laid between the upper base film and the lower base film in a wave shape. According to the utility model, on the basis of realizing real-time acquisition and monitoring of the state of the single battery, the production and processing efficiency can be improved, and the stability and anti-interference performance of signal transmission can be improved without increasing the production cost.