135 results about "Smart Battery" patented technology

Disclosed is a power electronic intelligent battery unit, including: a battery module, the battery module comprising a plurality of battery cells connected in series and sensors for measuring the voltage, current, pressure and / or temperature of the battery cells; and an intelligent battery interface, the intelligent battery interface being connected to an output side of the battery module and the sensors, and the intelligent battery interface having a power interface and an information interface for the outside, wherein the battery module monitors the voltage, current, pressure and / or temperature information of the battery cells, while providing or absorbing power by means of the intelligent battery interface.

The invention relates to the technical field of electric vehicle battery thermal management, in particular to an intelligent battery thermal management method and system based on environment temperature self-adaptive adjustment. A real-time response mechanism based on the dynamic temperature difference between the environment temperature and the battery temperature is provided, and through the four steps of temperature index data collection, thermal management battery protection, thermal management adaptive control and thermal management dynamic adjustment, when the environment battery temperature difference is larger than a threshold value, a continuous high-power mode is started, a temperature region can be rapidly converged, and the power consumption is reduced. The target temperature zone arrival time is effectively shortened; when the environment battery temperature difference is smaller than the threshold value, the intermittent low-power mode is switched, and energy consumption minimization can be achieved; the working temperature of the power battery can be quickly controlled near or within the most suitable working temperature, and the probability that the battery is reduced or even does not generate related side reactions is ensured, so that the cycle life of the battery is prolonged.

The invention relates to the technical field of intelligent battery module rolling detection, in particular to a tab visual inspection rolling system and method suitable for a battery module, and provides a tab visual inspection rolling system comprising a position adjusting mechanism, a rolling mechanism, a top face visual inspection mechanism and a side face visual inspection mechanism. Wherein the adjusting mechanism can adjust the horizontal position and height of the rolling mechanism so as to perform rolling processing on tabs of different batches of battery modules, and the processing condition of the tabs can be detected based on a visual form after rolling processing, so that on one hand, the detection precision is improved compared with the existing manual detection or spot check; and on the other hand, the labor intensity of manual detection is greatly reduced. The first top surface visual detection part, the second top surface visual detection part, the first side surface visual detection part and the second side surface visual detection part are arranged, so that the rolling quality is detected from two dimensions, the defect type thickness uniformity comprehensive evaluation is realized, and the misjudgment rate is reduced.

An electrical power supply system for an aircraft comprising: a string of a plurality of connected smart battery modules, wherein the string is configured to provide a common output voltage; wherein each of the smart battery modules comprises, terminals for outputting an output voltage to a device external to the smart battery module; a battery assembly configured to supply a DC voltage between two poles; a power converter electrically connected to the terminals and the poles, and a controller operably coupled to the semiconductor stage and configured to control the semiconductor stage for regulating the voltage conversation of the DC voltage into the output voltage a control unit operably coupled to the controller of each smart battery module and configured to set an output voltage and / or current setpoint or limit for each controller individually or configured to set an output voltage and / or current setpoint or limit for all controllers collectively.

The present invention discloses a sensory battery cell including a plurality of battery cells arranged in a first battery network, wherein the first battery network is a series network or a parallel network or a combination thereof, and a sensing integrated circuit connected in parallel with each battery cell to sense performance parameters of the plurality of battery cells, wherein the sensing integrated circuit includes a function circuit able to take an action for the battery cell that reaches a set condition. The present invention further discloses a intelligent battery using the sensory battery cell, a power battery using the intelligent battery, a battery management system and related methods thereof.

The invention discloses a small electric freight vehicle SOC prediction method, and belongs to the technical field of electric vehicle battery management. According to the method, aiming at the problem that a traditional SOC prediction model is insufficient in precision under a cross-speed working condition, the driving working condition is divided into three typical scenes, namely a low-speed scene, a medium-speed scene and a high-speed scene through K-means clustering; for each scene, screening key features by adopting an SHAP method to construct a scene feature set; constructing a hybrid model by using a time sequence convolutional network and a long short-term memory network, and training by using each scene feature set to obtain a corresponding scene prediction model; in practical application, according to a real-time vehicle speed matching scene, a corresponding model is called to carry out SOC prediction. According to the method, the SOC prediction precision under different speed working conditions can be improved, the model scene adaptability is enhanced, and support is provided for electric vehicle endurance estimation and intelligent battery management.

The invention relates to the technical field of intelligent battery manufacturing, and discloses an intelligent battery automatic manufacturing system and a management system. A raw material acquisition module of the system obtains battery manufacturing raw material data in an initial time period and converts the battery manufacturing raw material data into a standardized format; after the intelligent analysis module receives the standardized data, physical and chemical characteristics of the raw materials are analyzed through a deep learning model, and a characteristic analysis report is generated; the production planning module determines production parameters according to the report and generates a production instruction; the execution control module controls production equipment to complete battery automatic manufacturing based on the production instruction; the quality detection module detects the battery after being manufactured and generates quality detection data; and the feedback optimization module adjusts deep learning model parameters according to the quality detection data, and optimizes a subsequent production instruction generation process. According to the system, intelligent closed-loop management of battery manufacturing from raw material analysis to production optimization is realized through cooperation of all the modules.

To provide a method for immediately determining whether there is a welding error in a battery pack.SOLUTION: In a smart battery detection device, a battery pack comprises a microcontroller and at least one battery cell. The microcontroller includes: the battery pack that acquires an initial direct current internal resistance (DCIR) value corresponding to the battery pack in a charging mode, and detects a DCIR value currently corresponding to the battery pack at each relative state of charge (RSOC) check point; and a processor that is coupled to the battery pack and obtains the DCIR value. At least one of the microcontroller and the processor determines whether there are any errors in the battery pack.SELECTED DRAWING: Figure 3

The invention discloses a transmission shaft square intelligent battery structure, and relates to the technical field of intelligent batteries, the structure comprises a square battery shell, an upper bin cover, a middle bin partition plate, a lower bin cover, a sealing gasket, a buffer pad, a support ring, a shock pad, a square key groove, a BMS system, a battery pack, a glue injection heat dissipation hole, a long circular key groove, a positioning plate and a circular positioning groove; the square battery shell, the upper bin cover and the lower bin cover form a square split bin structure, the interior of the square battery shell is divided into an upper bin chamber and a lower bin chamber by the middle bin partition plate, and the upper bin cover and the positioning plate are respectively provided with a long circular key groove and synchronously rotate with the transmission shaft through a connecting key. Through the composite connection design of the upper bin long circular key, the lower bin square key and circular positioning, reliable synchronous rotation is achieved, vibration interference can be reduced, and the transmission stability is obviously better than that of a traditional annular clamp structure.

1. Name of the product in this design: Smart Battery and its Main Body (TATTU5.0). 2. Application of this design: for use in batteries for drones and other devices that require charging and discharging. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. Design 1 is designated as the basic design. 6. Other situations requiring explanation: In Design 2, the dashed lines represent parts that do not require protection.

1. Name of the product in this design: Intelligent Battery Swapping Cabinet. 2. Purpose of this design: For charging and swapping batteries. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention provides a rechargeable battery system. The rechargeable battery system includes: a battery cell having a laminated case encapsulating an electrolyte and an electrode stack; the thermal sensing pad is embedded in the battery unit, the thermal sensing pad comprises a plurality of temperature sensors arranged at different positions in the battery unit, and each temperature sensor is packaged in an electrolyte-resistant material; the integrated circuit board is electrically connected with the thermal sensing pad; the integrated circuit board is configured to: (1) receive a sensing signal from the temperature sensor; (2) converting the sensing signal into digital temperature data; and (3) transmitting the digital temperature data to a battery management system. The battery management system is configured to analyze the digital temperature data to evaluate an internal temperature condition of the battery cell.

1. The name of the design product: smart battery clamp shell. 2. The use of the design product: the design product is used for battery clamp shell. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention relates to the technical field of battery energy storage box equipment, in particular to a waterproof intelligent battery energy storage box which comprises a box body, a box cover is detachably installed on the box body, a battery module and a control unit are installed in the box body, and the control unit comprises a storage battery monitoring management system, a WIFI module, an indicator lamp module and an air switch. A hanging assembly is mounted on the box body and comprises a hanging bottom and a hanging seat, the hanging bottom comprises a base, a movable seat is mounted on the base in a sliding manner, a lug for hanging the hanging seat is mounted on the movable seat, and a bayonet is formed in the movable seat; the hanging seat comprises a bottom plate mounted on the box body, a hanging plate and a hanging piece are mounted on the bottom plate, and a locking plate clamped into the bayonet is mounted on the hanging plate; a fixing assembly for fixing the lock plate is installed on the base, a hanging plate is installed on the base, the hanging plate is arranged between the fixing assembly and the lug piece, and a supporting plate for protecting the lock plate is hinged to the hanging plate. The waterproof intelligent battery energy storage box has the effect of improving the convenience of the waterproof intelligent battery energy storage box in the use process.

The invention discloses an intelligent battery charging control method, which relates to the technical field of intelligent battery charging and comprises the following steps of: extracting time continuous characteristics of gradient mutation according to a thermal response dynamic mapping surface, generating an electrochemical polarization direction evolution track and constructing a polarization mutation recognition template; the deviation rate of the electron migration path relative to the ideal conductive path is calculated, and an electron channel correction function is established; the charging current density of the abrupt change area is adjusted in a segmented mode through a correction function, and local potential inversion is weakened through a buffer type current control strategy; and constructing a layered energy distribution mechanism according to a coupling relationship between the polarization direction and the temperature response, and implementing regional control on the charging power. Precise identification and dynamic regulation and control of the polarization direction are realized by constructing a thermal response dynamic mapping surface, local potential inversion and electron aggregation are prevented in advance, energy input and thermal diffusion balance are realized through layered energy distribution and regionalized power control, the charging safety of a battery cell is improved, and the service life of the battery cell is prolonged.

The invention discloses a sea-air integrated multi-source heterogeneous sensing intelligent system which comprises an intelligent system power module, a high-endurance energy module, a multi-source heterogeneous sensing module, an unmanned aerial vehicle folding and unfolding and intelligent system positioning correction module and a multi-source data heterogeneous communication and integrated sensing module. By designing the high-endurance energy module and adopting the wide-temperature-range inorganic solid-state battery and the intelligent battery management module, the energy guarantee capability of the system in an extreme environment is improved, and the problem that an existing sensing system is insufficient in endurance in a cold region or in long-time operation is solved. According to the invention, a multi-source heterogeneous sensing module is constructed, multiple groups of optical cameras and laser scanners are fused, full-visual-angle three-dimensional sensing of underwater, water surface and airspace is realized, the space coverage rate and precision of sensing are effectively improved, and the problems of large blind area and single data of a traditional single sensing means are solved.

The invention discloses a battery management and scheduling system of an intelligent battery swap station, relates to the technical field of battery management, and mainly solves the problem of battery management and scheduling of the intelligent battery swap station. The intelligent battery swap station battery management and scheduling system comprises a detection module, a scheduling module, a management module, a replacement module, a heat dissipation module, an intelligent display module and an early warning module, the brand type and the battery position of a vehicle body to be replaced are identified through a target detection model, and the number of batteries is distributed to each intelligent battery swap station through an optimization scheduling algorithm. The data generated by each module is predicted in real time through the abnormity monitoring model, the fault reason is checked, and a corresponding solution is given, so that the service life of the battery is prolonged, the charging and discharging efficiency of the battery is improved, the user experience and satisfaction are improved, the management cost and the operation risk are reduced, and the battery replacement rate is increased.

To provide a smart battery disconnect and protection architecture for airborne high-power modular multi-string battery pack.SOLUTION: The invention provides methods and systems for protection / disconnect of airborne high-power / high-energy high-voltage modular multi-string battery packs (such as battery packs for airborne electric propulsion systems). The methods and systems are based on a dissimilar / redundant distributed battery pack protection architecture and use a smart mid-point battery disconnect cooperating with centralized battery management system. The resulting battery disconnect / protection system is configured to detect bus faults, load faults and string faults and then take appropriate action to isolate the detected fault. For example, in response to a short circuit in one battery string, the faulty battery string may be disconnected from the positive and negative busbars while the remaining battery strings continue to provide power.SELECTED DRAWING: Figure 1

An intelligent battery device includes a battery unit, a temperature sensing unit and a processing unit. The temperature sensing unit senses an ambient temperature to generate a temperature signal. The processing unit is coupled to the battery unit and the temperature sensing unit. In a charging mode, the processing unit receives the temperature signal and obtains a charge level of the battery unit, sets a full capacity based on the temperature signal, and generates an indication mark when the charge level of the battery unit reaches the full capacity, wherein the indication mark is used to indicate that the battery unit is in a fully charged state.

The invention discloses an intelligent battery life prediction method depending on early-stage characteristics, and the method comprises the steps: implanting an optical fiber sensor, a thin film sensor or a pressure sensor in a lithium ion battery, and obtaining the internal state information, such as internal strain and internal temperature, of a battery formation and early-stage circulation stage in real time. A battery multi-dimensional feature database containing early internal state features is constructed by combining the external voltage and capacity of the same period, and the internal association between the early internal parameter features and the long-term cycle life of the battery is explored by using an artificial intelligence algorithm to realize life prediction. According to the method, the limitation that the service life is predicted by depending on long-term cycle data or external sensing traditionally is broken through, early-stage accurate prediction of the health state of the battery is realized, and a brand new technical means is provided for production screening, echelon utilization and full-life-cycle management of the battery.

The utility model relates to an intelligent following luggage barrow which comprises a barrow body, a sensing system, a power chassis system and a main controller. The trolley body is of an aluminum profile structure, has high hardness and high bearing capacity and is divided into a small luggage storage area and a large luggage storage area. The sensing system is composed of a fisheye camera, a UWB base station antenna and a laser radar, and is used for capturing and tracking users, identifying obstacles and constructing a local map. The power chassis system comprises a motor, a speed reducer, a brake and an intelligent battery chassis, an L-shaped layout structure is adopted, and slippage steering is achieved through two-wheel differential control. The main controller integrates an AI module, a Bluetooth module and a 4G module, and is responsible for operation of an autonomous following function and issuing of a driving instruction. According to the utility model, intelligence, automation and safety of luggage carrying are realized, and a convenient, efficient and safe luggage carrying solution is provided for users.

1. The name of the design product: liquid-cooled intelligent battery module. 2. The use of the design product: for providing electric energy. 3. The design points of the design product: in the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention relates to the technical field of intelligent batteries, in particular to a device for achieving gas leakage alarm and gas meter gas cut-off linkage through an intelligent battery, the device comprises the intelligent battery, the intelligent battery is used for being matched with an electronic gas meter with a power-down automatic valve closing function so as to conduct gas cut-off linkage after gas leakage, and the intelligent battery comprises a battery shell, a power supply module and a power supply module. The lithium battery is arranged in the shell and is used for providing initial electric energy; the DC-DC conversion circuit is arranged in the battery shell and is connected with the lithium battery; the intelligent battery can receive an external wireless signal, when the signal comes, the intelligent battery is powered off, at the moment, when the gas meter detects that the external voltage disappears, a motor valve in the gas meter is cut off at the first time to block gas output, and even if external power supply is recovered, the gas meter cannot immediately supply gas to the outside; a user must manually press a red button on the gas meter for more than 4 seconds, and then the gas meter can close the motor valve to supply gas again.

Systems and methods for preheating a battery heater of an electric vehicle (EV) are provided. The method may comprise determining an estimated vehicle start time for the EV, determining whether an ambient temperature of a battery is less than −5° C., when the ambient temperature of the battery is less than −5° C., performing a level 1 heating function, when the ambient temperature of the battery is not less than −5° C., determining whether the ambient temperature of the battery is between −5° C. and 5° C., when the ambient temperature of the battery is between −5° C. and 5° C., performing a level 2 heating function, when the ambient temperature of the battery is above −5° C. and not between −5° C. and 5° C., then, determining whether the ambient temperature of the battery is between 5° C. and 10° C., and when the ambient temperature of the battery is between 5° C. and 10° C., performing a level 3 heating function.

The invention provides a notebook computer intelligent battery parameter reading method based on SMBus communication, which comprises the following steps that: a user inputs a register address of a target parameter, and triggers a parameter acquisition operation; system end software calls an ACPI drive through an operating system and writes a parameter acquisition instruction into an EC controller; the EC controller packages the data frame into a data frame conforming to an SMBus protocol; the EC firmware sends the packaged data frame to a voltameter in the intelligent battery through an SMBus (System Management Bus); the smart battery voltameter receives and analyzes the SMBus data frame; the intelligent battery voltameter reads the parameter data and returns the read parameter data to the EC firmware through the SMBus; after the EC firmware receives the parameter data, checking and analyzing the parameter data; the EC firmware temporarily stores the parameter data in a specified memory area; and the system end software obtains the temporarily stored parameter data and displays the parameter data on a user interface. The method has the beneficial effects that the instruction of reading the internal parameters of the intelligent battery can be directly read without disassembling the battery and connecting a special hardware tool.

A method for assembling a battery is described. The battery has a plurality of battery cells, a post assembly, a plurality of posts, and a plurality of straps. The method includes coupling each strap of the plurality of straps to one battery cell of the plurality of battery cells, coupling each post of the plurality of posts to one strap of the plurality of straps, where each one of the coupled posts is electrically coupled to one battery cell corresponding to the one strap, and performing an intercell coupling between at least a pair of battery cells of the plurality of battery cells by coupling a pair of posts of the plurality of posts.

This application discloses an intelligent fast emergency power supply system with a smart battery unit, relating to the field of modern power electronics technology. The system is centered on an inductive intelligent module X34 that monitors short circuits at the output terminal and a smart battery unit IIU. Its supporting architecture includes an intelligent controller IPo, a composite fast switch Cf, a mains direct transmission branch Dt, and an emergency fault branch Ae. Supporting components include monitoring instruments IA, IA1, IA2, IA3, and an output switch S2. Under the combined action of IPo, X34, and the internal switches of IIU, this system prevents the battery inverter branch from supplying power to short-circuit loads. Even if IPo experiences a temporary malfunction, there will be no failure in battery temperature control or protection. Even if the battery fails to discharge for an extended period, there will be no internal caking or scaling. Therefore, the safety and reliability of this system are unaffected by various interference factors.

The application discloses an intelligent battery thermal management system based on thermoelectric coolers, and relates to the technical field of new energy and electronic engineering.The system comprises a TEC optimization layout module, a micro-channel heat dissipation module, a detector preparation module and an NMPC control module.The TEC optimization layout module is responsible for optimizing the position and contact area of the thermoelectric cooler (TEC), analyzing the internal temperature distribution of the battery unit, determining the heat accumulation area, and embedding a heat-conducting metal plate between the battery units by arranging the TEC near the top of the battery, so that the internal heat balance is promoted by using the cooling capacity of the TEC.The micro-channel heat dissipation module is responsible for establishing a micro-channel radiator, and the double goals of compact structure and high-efficiency heat dissipation are achieved by adopting the micro-channel technology, so that the battery is in an ideal temperature zone.The detector preparation module is responsible for the preparation process of a nickel / gallium oxide / silicon carbide metal oxide, a semiconductor field effect detector, and real-time monitoring of the battery temperature.The NMPC control module is responsible for predicting and optimizing the energy consumption in the battery thermal management system by using a nonlinear model predictive control (NMPC) algorithm, and dynamically adjusting the TEC operation strategy according to the current battery working condition and future prediction.

This application provides an intelligent battery swapping cabinet system with early warning of thermal runaway, relating to the field of new energy technology. It includes a data acquisition and labeling module and a location risk analysis module. If the overall hazard level exceeds a preset threshold, a risk judgment basis is constructed based on the degree of location and quantity impact. A weighted analysis method is used to prioritize the processing of each battery, resulting in an intervention target sequence. Based on the intervention target sequence, combined with the risk propagation range and fault propagation path, an emergency process adjustment plan is dynamically generated. The intervention strategy is iteratively updated through real-time monitoring data to determine the final intervention execution path. This intelligent battery swapping cabinet system with early warning of thermal runaway significantly improves the early warning capability and overall safety and reliability of the swapping cabinet under complex operating conditions, reduces the probability of accidents, and enhances the safety assurance level of new energy battery swapping infrastructure.