6141results about "Cells structural combination" patented technology

The invention relates to the technical field of lithium battery management, in particular to a lithium battery pack dynamic balancing method, device and equipment, a storage medium and a computer program product. The method comprises the following steps: predicting battery cell state parameters of each battery cell based on a preset long-short-term memory neural network model to obtain a capacity attenuation trend of each battery cell; building a health state evaluation index based on the capacity attenuation trend; based on the health state evaluation indexes, performing health grade classification on each battery cell by adopting a preset clustering algorithm; obtaining the temperature gradient, the state of charge deviation and the charge-discharge rate of each battery cell, and determining the balance priority of each battery cell based on the health grade category division result, the temperature gradient, the state of charge deviation and the charge-discharge rate of each battery cell; and on the basis of the equalization priority, a target dynamic equalization adjustment strategy is generated, and each battery cell is adjusted according to the target dynamic equalization adjustment strategy, so that the energy scheduling accuracy of the lithium battery pack is improved.

A battery pack including a housing and a cell frame supported within the housing. The cell frame includes a plurality of openings to secure a plurality of battery cells, and a weld strap disposed within the cell frame configured to interconnect the plurality of battery cells. The battery pack also includes a cell header cover disposed adjacent to the battery cells and covering the weld strap. The cell header cover is configured to prevent battery cell particulate from circulating within the outer housing. The cell header cover and the cell frame cooperate to surround the battery cells.

The invention relates to the technical field of equalization control of a battery management system, and discloses a lithium battery hierarchical equalization control method based on a hierarchical model predictive control algorithm, comprising the following steps: constructing a hierarchical control architecture which comprises a state monitoring layer, an equalization decision layer and an execution control layer, each layer realizes cooperative control through closed-loop data interaction; the state monitoring layer collects multi-dimensional state parameters of the lithium battery system, pre-processes the collected data and then transmits the data to the equalization decision-making layer, the equalization decision-making layer constructs a multi-target optimization model based on a hierarchical MPC algorithm, and the model takes SOC consistency, equalization energy consumption minimization and cycle life maximization of the lithium battery system as optimization targets. The abnormal state of the sensor or the balancing module can be identified in time through a fault diagnosis mechanism, and when a fault occurs, a standby model is automatically switched or a balancing task is shared through an adjacent module, so that the system is ensured not to generate abrupt reduction of balancing performance due to the fault of a single component.

The present invention provides a dual-level thermal runaway warning method of a lithium battery based on a sound signal, comprising: obtaining a battery sound signal sequence; performing outlier identification on the battery sound signal sequence, and providing a level-1 thermal runaway warning when an abnormal data point exists; extracting a time-frequency domain feature of the abnormal data point, and identifying a presence of a thermal runaway expansion sound through a sparrow search algorithm-optimized eXtreme Gradient Boosting (SSA-XGBoost) algorithm, to providing a level-2 thermal runaway warning. In the SSA-XGBoost algorithm, optimal parameter adjustment is performed on a number of iterations, a learning rate, and a decision tree depth of the XGBoost algorithm through the SSA. A dual-level thermal runaway warning strategy is adopted to perform grading identification on general anomalies or deep anomalies, thereby effectively improving identification accuracy of a weak abnormal sound signal in an early stage.

The invention relates to a thermal runaway monitoring method and related equipment for a new energy automobile power battery, and the method comprises the following steps: carrying out the internal temperature monitoring of the new energy automobile power battery, and obtaining the three-dimensional thermal field distribution data; thermal characteristics are analyzed, thermal runaway precursor characteristics are identified, the thermal runaway probability is calculated, and a probability distribution diagram is generated; in combination with the heat spreading prediction model, obtaining heat spreading path prediction data; and determining the out-of-control risk level of the battery according to the data, and generating a corresponding early warning signal, thereby solving the technical problems that the existing monitoring method mostly depends on threshold judgment of a single parameter, and complex thermal field change in the power battery of the new energy automobile is difficult to comprehensively capture.

A battery charging system includes a charging rack comprising multiple receptacle, multiple battery assemblies. Each of the battery assemblies includes a housing having a handle, rechargeable battery cells disposed within the housing, and a mating feature protruding away from the housing, wherein the mating feature is configured to selectively connect the battery assembly with the receptacle of the charging rack and includes multiple ports electrically connected to the battery cells and configured receive power from the charging rack to charge the battery cells, and wherein the handle comprises a release button configured to selectively disengage the battery assembly from the receptacle of the charging rack.

The invention relates to the technical field of electric vehicle power battery thermal management, and discloses a temperature change-based power battery thermal management system, which comprises a thermal simulation pre-judgment end, a sensor network end, a dynamic liquid cooling control end, a BMS decision end and a fault diagnosis module, aiming at the technical defects of out-of-control temperature difference, response hysteresis and leakage risk caused by static flow channel design of the existing liquid cooling system, breakthrough is realized through a three-dimensional technical architecture: a CFD (Computational Fluid Dynamics) prejudgment layer: automatically calibrating sensor distribution points based on temperature field standard deviation, and improving temperature difference identification precision; according to the dynamic valve control layer, an electromagnetic three-way reversing valve is adopted to execute a directional temperature control strategy, an edge battery cell is preferentially introduced under the low-temperature working condition, and heat dissipation is enhanced under the high-temperature working condition; according to the redundant safety layer, the valve body and the pipeline are integrally formed, the leakage rate is reduced, and flow maintenance under single-point failure is achieved through a double-water-inlet parallel pump source. The method has the effects of improving the convergence speed of temperature difference between modules, reducing the attenuation rate of battery life and reducing the risk probability of thermal runaway.

A method for estimation of state of health of a rechargeable battery includes: obtaining input data of a set of predetermined battery features that jointly indicates State of Health of the battery; applying a plurality of machine learning algorithms to conduct state of health estimation of the battery, wherein each machine learning algorithm, based on obtained input data from the battery features, calculates an estimation of state of health of the battery, as well as quantitative estimation of a confidence interval / value of the state of health estimation of the battery; and applying a Kalman filter based fusion algorithm for combining the state of health estimations from all of said plurality of machine learning algorithms, for providing a fused state of health estimation.

Provided in the present application are a balanced charging method and apparatus for a battery pack, and a computer program product. Charging current control consists of two stages, i.e., a "pulse square-wave excitation" stage and a "multi-stage current-reduction charging" stage. During the pulse square-wave excitation stage, the parameter identification of an equivalent circuit model and the joint estimation of state variables are realized, thereby providing reliable battery parameters for a subsequent balancing process. During the multi-stage current-reduction charging stage, a flyback converter is used to control a balanced current of each battery cell, and the battery cells remain in a charging state throughout a balancing process, thereby effectively mitigating the impact of a hysteresis voltage.

A battery pack according to an embodiment of the present disclosure includes: a plurality of battery modules; a tray including a mount plate on which the plurality of battery modules are seated, a front frame provided on an end portion in a longitudinal direction of the mount plate, and a rear frame provided on the other end portion in the longitudinal direction of the mount plate; a pair of side covers covering both end portions in a width direction of the tray; at least one module partition wall parallel to the front frame and the rear frame, and located between adjacent battery modules; and a battery energy management system (BEM) assembly including a BEM bracket having one end portion fastened to the at least one module partition wall and the other end portion fastened to the rear frame, and a BEM mounted on the BEM bracket.

The present application relates to a digital twin device and a digital twin-based battery temperature monitoring method. The digital twin-based battery temperature monitoring method, according to one embodiment of the present invention, may comprise the steps of: receiving real-time state information of a battery unit from a battery management system (BMS); carrying out a temperature distribution analysis of the inside of the battery unit by applying the real-time state information to a digital twin corresponding to the battery unit; and transmitting, to the BMS, a virtual temperature value of a virtual point of measurement, which has been requested for by the BMS.

A battery management system includes a battery pack and a controller in communication with the battery pack and a packing actuator of the refuse vehicle. The controller is configured to receive a state of charge of the battery pack, determine if the state of charge satisfies a lower threshold, in response to determining that the state of charge satisfies the lower threshold, prevent operation of the packing actuator, determine if the state of charge satisfies an upper threshold, and in response to determining that the state of charge satisfies the upper threshold, initiate operation of the packing actuator.

The invention discloses a military battery operation adjusting system based on extreme environment identification and detection, and relates to the technical field of military power management, the system comprises an environment sensing module, an environment identification and decision module, a thermal management execution module and a battery management module; the environment sensing module is used for collecting environment data such as temperature, humidity, wind speed, dust concentration and solar radiation intensity in real time; the environment recognition and decision module adopts a BP neural network and fuzzy control logic to recognize and classify working condition states, and outputs a control strategy in combination with a PID adjustment algorithm; the heat management execution module realizes heating, heat dissipation and sand prevention operation according to the instruction; and the battery management module dynamically adjusts a charging and discharging strategy according to the identification state. Self-adaptive adjustment of battery temperature and energy management can be realized under extreme working conditions, the system stability is improved, the service life is prolonged, and the system is suitable for battery management in severe environments such as desert, high temperature, low temperature, strong wind and sand, high radiation and the like.

The invention relates to the technical field of lithium ion battery safety, and discloses a lithium ion battery thermal runaway multi-cascade emergency response prevention system. The system comprises a thermal signal monitoring module, a thermal diffusion prediction module, an emergency suppression module, a pressure balance module and a multi-mode linkage module. The thermal signal monitoring module obtains multi-dimensional temperature data, identifies abnormity and generates a thermal runaway early warning signal; the thermal diffusion prediction module combines the early warning signal and the battery module structure parameters to calculate the thermal propagation path and rate and generate a prediction result; the emergency suppression module matches a suppression medium according to a prediction result, and calculates a dose putting strategy to form a suppression scheme; the pressure balance module obtains pressure data, analyzes the change rate and distribution, adjusts a pressure release valve strategy in combination with a suppression scheme, and generates a pressure regulation and control instruction; and the multi-mode linkage module integrates data and a scheme, and generates a system-level emergency response instruction based on a pressure regulation and control instruction to realize thermal runaway multi-level joint prevention.

The invention discloses a battery health management system and method, and belongs to the technical field of battery management, the system comprises an implantable sensor network, an edge and cloud collaborative computing platform, a multi-modal prediction model and a dynamic optimization execution unit; the implantable sensor network integrates various sensors to collect multi-physical field parameters in a battery, and the energy collection unit supplies power through cross-shielding communication transmission. The edge and cloud collaboration platform processes data, trains a model and carries out block chain evidence storage; the multi-modal prediction model is fused with space-time double-flow Transform and causal reasoning, SOH and RUL are predicted, and thermal runaway is early warned; the dynamic optimization execution unit realizes efficient control through layered equalization and self-adaptive thermal management; the method comprises an initialization stage, an operation stage and a maintenance stage to form a closed loop. The method breaks through the traditional limitation, improves the safety, reliability and economy of the battery, and is suitable for electric vehicles, energy storage power stations and other scenes.

In an approach to a state of health for grid applications, a system includes one or more battery energy storage systems having a plurality of batteries; energy sources; power distribution systems; and computing devices. The computing devices are configured to: for each of the battery energy storage systems: receive battery parameters for each of the batteries from the battery energy storage systems; determine a lithium plating state, a solid electrolyte interface (SEI) thickness, and a dendrite length for each of the plurality of batteries; determine a battery state of health (SOH) for each of the batteries based on at least one of the lithium plating state, the SEI thickness, and the dendrite length; determine a battery charge profile to mitigate aging for each of batteries based on the SOH; and send updated battery parameters and control thresholds for each of batteries to each of the battery energy storage systems.

The invention discloses a wide-temperature-range sodium-lithium hybrid energy storage system and a control method thereof. According to the system, the working temperature range of the energy storage system is effectively expanded through sodium-lithium hybrid energy storage; the sodium ion battery unit bears a low-temperature working condition, and the lithium ion battery unit bears a normal-temperature basic load, so that the low-temperature and power characteristics of a sodium battery and the high-energy density advantage of a lithium battery are exerted, and complementation of energy density and temperature adaptability is realized; and the independent bidirectional DC / DC converter is adopted for power coupling, so that the problem of voltage mismatching possibly caused by direct parallel connection is effectively avoided, and the reliability and the control precision of the system are improved. The system has intelligent environment perception and adaptive control capabilities, can adaptively adjust a working mode and a power distribution strategy according to environment conditions, and is high in intelligent degree. The modular design is adopted, system expansion and maintenance are facilitated, and the operation and maintenance cost is reduced.

The invention relates to a self-adaptive cooperative control system and method for a sodium-ion battery energy storage system, and relates to the technical field of energy storage system control. An EMS-BMS-PCS cooperative control module is customized, a three-level architecture dynamically adjusts a voltage threshold value, and the SOC is corrected; the multi-stage active safety protection module comprises battery cell monitoring, fault battery cell ejection, modular battery replacement and three-stage fusing protection; the power grid response module PCS performs high-frequency sampling and supports grid-connected and off-grid switching and AGC / AVC service; the intelligent collaborative optimization engine integrates data to generate a charging and discharging strategy, and early warning is performed 14 days in advance for predictive maintenance; the layered distributed control module is used for realizing battery cell-to-system level management; and the double-ring network communication redundancy module ensures real-time transmission of instructions. According to the invention, the DoD and capacity utilization rate of the sodium-ion battery is improved, and the system economy is enhanced; heat spreading is blocked through multi-stage protection, the maintenance time is shortened, and the safety is improved; millisecond-level response meets the high-order demand of a power grid, predictive maintenance reduces the operation and maintenance cost, and the method is suitable for multiple energy storage scenes.

Systems and methods for battery system management and monitoring apparatus(es) and equipment using a sensor cluster are described. The systems and methods can be used to automatically repair or otherwise address actual and predicted failure modes of the apparatus(es), which include electrical systems, power systems, energy storage systems, and other systems.

The invention provides a battery device, an energy storage device and a power utilization device. The battery device comprises a single battery and an electric control assembly electrically connected with the single battery, the electric control assembly comprises a circuit board, a shell and a covering structure, and a connector socket is arranged on the circuit board; a containing cavity is formed in the shell, the circuit board is installed in the containing cavity, and an opening for the connector socket to stretch out is formed in the shell. The covering structure is arranged on the shell and surrounds the connector socket, and the covering structure at least partially covers a gap between the connector socket and the side wall of the opening. By arranging the covering structure, installing the covering structure on the shell, supporting the covering structure through the shell, arranging the covering structure around the connector socket and enabling the covering structure to at least partially cover the gap between the connector socket and the side wall of the opening, the connector socket can be protected according to the protection grade requirement. And the gap between the connector socket and the side wall of the opening is shielded, reduced or closed, so that the electric control assembly meets the required protection grade requirement.

The invention discloses a container type battery environment monitoring system based on edge calculation, which relates to the technical field of battery environment monitoring, and is characterized in that sensors and edge nodes are arranged in cabins of a battery energy storage device to acquire internal operation environment data of the container type battery energy storage device; a pneumatic environment data set and a water vapor critical data set are formed after data processing, cross-cabin air exchange efficiency Eex is constructed for air exchange qualification evaluation, a condensation nucleation potential index Cnp is constructed when air exchange is abnormal, and a comprehensive condensation risk index Rall is generated in combination with the cross-cabin air exchange efficiency Eex for condensation risk evaluation. Instructions such as fan power adjustment, dehumidification device start and stop and power limitation are issued according to the risk level, and information labels are added to the evaluation data set and uploaded to the cloud in real time. According to the invention, the real-time monitoring of the container type battery environment, the dynamic prediction of the condensation risk and the automatic control are realized, and the safety and reliability of the operation of the energy storage system are improved.

This disclosure provides an improved universal interchangeable battery for electric vehicles forming part of a battery swapping ecosystem that includes electric vehicles, swappable batteries, a charging / swap station, a battery adaptor for reliable charging and communication, and a mobile application for managing battery swapping within a fleet and a network of charging stations, enabling efficient and user-friendly battery exchanges.

The invention provides a dispatching management system and method for an EMS deep fusion electric ship battery, and relates to the technical field of electric energy management, and the method comprises the steps: building a digital twin based on the state information of the electric ship battery, and obtaining a health attenuation coefficient; acquiring an abnormal fluctuation sequence of the temperature, and performing dynamic boundary division on the health attenuation coefficient through the abnormal fluctuation sequence to obtain a dynamic safety boundary; grading and limiting the output power of the battery according to the dynamic safety boundary to obtain a power regulation and control parameter set, and carrying out joint modeling on the power regulation and control parameter set to obtain an out-of-limit penalty term; performing subnet partition reconstruction on the power grid topological structure to obtain an electrical collaboration graph, and performing multi-target optimization scheduling on the electrical collaboration graph through an out-of-limit penalty term to obtain a scheduling strategy vector; according to the method and the device, dynamic electric energy optimal scheduling based on health perception can be realized, so that the stability of electric ship battery scheduling is improved.

A battery pack including a housing and a switching circuit. The housing supports a battery cell. The housing includes an interface for an electronic device. The interface includes a first positive power terminal and a second positive power terminal connected to the battery cell. A first negative power terminal and a second negative power terminal are connected the battery cell. The switching circuit operable to control the interface into a first configuration where power from the battery cell is only transferred from the battery cell to the electronic device using the first positive power terminal and the first negative power terminal, and control the interface into a second configuration where power from the battery cell is transferred from the battery cell to the electronic device using the first positive power terminal, the second positive power terminal, the first negative power terminal, and the second negative power terminal.

The invention relates to the technical field of battery management systems, and discloses an intelligent battery management and safety control system and an electric flame gas stove. The system comprises a sensing engine for collecting battery multi-physics field data through a heterogeneous sensor array; the calculation engine is used for performing spatial-temporal feature extraction on the data to generate dynamic security boundary parameters; the analysis engine is used for analyzing the external power request and fusing the security boundary to generate a power distribution constraint set; the strategy generation engine is used for synchronously solving an optimal power output track and a thermal management control instruction in the constraint set; and the execution engine is used for executing power driving and heat dissipation adjustment. According to the system, accurate sensing of the internal state of the battery and early warning of the safety risk are achieved through the dynamic safety boundary, efficient and stable power output of the battery within the safety boundary is ensured through cooperative control of power and heat management, and the safety and energy efficiency of the whole system are improved.

The invention discloses a lithium iron phosphate battery grading active fire control method and system, and the method comprises the steps: collecting multi-mode perception data through deploying a multi-source sensor network and a BMS data interface, and constructing a battery thermal runaway risk assessment model through employing a Lyapunov fixed time stability theory; a hierarchical prevention and control strategy is dynamically generated in combination with a historical case sensitivity scoring mechanism, and linkage response of first-level early warning heat dissipation, second-level aerosol inhibition and third-level perfluorohexanone fire extinguishing is achieved. According to the invention, the problem that the prior art lacks self-adaptability and BMS deep collaboration is solved, the technical transformation from passive response to active prevention and control is realized, and the accuracy and timeliness of thermal runaway early warning are remarkably improved.

The invention belongs to the field of electrical variable measurement, and particularly relates to a single battery equalization management method for a lithium battery BMS (Battery Management System) protection board, which comprises the following steps of: acquiring voltage, temperature, total current and cycle index of each single battery in real time; based on a second-order equivalent circuit model and an extended Kalman filtering algorithm, multi-source information is fused, and the health state and the charge state are estimated with high precision; constructing a dynamic equilibrium trigger threshold fusing the charge state standard deviation, the range and the health state attenuation factor; a bidirectional flyback or multi-winding transformer active equalization strategy is selected according to the inconsistent distribution characteristics and the temperature field, and equalization current is accurately controlled through pulse width modulation; and continuously monitoring the efficiency, the temperature rise rate and the convergence in the equalization process, and dynamically optimizing the equalization parameters by using the fuzzy logic controller until the inconsistency reaches the standard. According to the technical scheme, accurate, self-adaptive, high-efficiency and safe single battery equalization management can be realized, the service life of the battery pack is effectively prolonged, and the operation reliability of the system is improved.

A battery pack for powering an electronic device is provided. The battery pack for powering an electronic device includes a housing assembly, a cell module, at least one temperature detection apparatus, and a detection support. The housing assembly is mounted to the electronic device and supported by the electronic device. The cell module includes multiple cells and a cell support supporting the multiple cells, where the cell module is disposed in the housing assembly. Multiple temperature detection apparatuses are configured to detect temperatures of the multiple cells. The detection support is configured to support a temperature detection apparatus to cause the position of the temperature detection apparatus in the housing assembly to be fixed.

A battery pack for an electric vehicle, the battery pack including a battery housing including: a housing body, at least one heat transfer channel defined in the housing body, the at least one heat transfer channel extending generally through a center portion of the housing body, the at least one heat transfer channel being operative to convey a heat transfer fluid; a plurality of battery cells disposed in the housing body, the plurality of battery cells being disposed in direct thermal communication with the at least one heat transfer channel; and at least one electronic component disposed in the battery housing, the at least one electronic component being in direct thermal communication with the at least one heat transfer channel.

Provided are an integrated energy storage unit, an energy storage-power expansion pack, and an energy storage device. The integrated energy storage unit includes an integrated unit case and a first firefighting module. The integrated unit case includes a first battery box housing and a heat sink housing that are detachably connected to each other. A first battery module is fixed in the first battery box housing. An inverter circuit board is fixed in the heat sink housing. The inverter circuit board is configured for a conversion between an alternating current and a direct current and heat dissipation to an exterior environment through the heat sink housing. The first firefighting module is disposed in the integrated unit case. The first firefighting module includes a trigger mechanism, a fire-extinguishing agent storage compartment, and a release mechanism. The trigger mechanism is disposed in a firefighting detection region in the integrated unit case and configured to generate a trigger signal when a firefighting trigger condition in the firefighting detection region is met. The fire-extinguishing agent storage compartment is configured to store a fire extinguishing agent. The release mechanism is configured to, in response to the trigger signal from the trigger mechanism, release the fire extinguishing agent into a chamber where the first battery module is located.