11134results about "Cells structural combination" patented technology

The invention relates to a battery life prediction and health assessment system based on BMS expansion parameter analysis, and the system fuses deformation quantity and electrochemical parameters, and remarkably improves the modeling precision and life prediction capability of a battery health state. The acquisition module obtains battery expansion characteristics and operation parameters through a sensor or a modeling mode, and constructs a multi-dimensional time sequence data set; the processing module performs normalization and feature reconstruction on the data to form a health track sample for learning; the prediction module outputs residual life and degradation trend scores based on a deep regression model, and introduces an expansion feature sensitivity adjustment mechanism; the evaluation module evaluates the health level of the battery according to the prediction result and a threshold rule and generates a report; the regulation and control module dynamically adjusts BMS control parameters according to an evaluation result, and optimizes energy efficiency and a safety strategy; the method breaks through the dependence of a traditional BMS system on electrochemical characteristics, realizes more comprehensive and accurate intelligent sensing and life management of the battery health state, and is suitable for various BMS architecture scenes.

Systems, methods, and articles for a portable power case are disclosed. The portable power case is comprised of at least one battery and at least one PCB. The portable power case has at least two access ports, at least two leads, or at least one access port and at least one lead and at least one USB port. The portable power case is operable to supply power to an amplifier, a radio, a wearable battery, a mobile phone, and a tablet. The portable power case is operable to be charged using solar panels, vehicle batteries, AC adapters, non-rechargeable batteries, and generators. The portable power case provides for modularity that allows the user to disassemble and selectively remove the batteries installed within the portable power case housing.

Systems, methods, and articles for a portable power case are disclosed. The portable power case is comprised of at least one battery and at least one PCB. The portable power case has at least two access ports, at least two leads, or at least one access port and at least one lead and at least one USB port. The portable power case is operable to supply power to an amplifier, a radio, a wearable battery, a mobile phone, and a tablet. The portable power case is operable to be charged using solar panels, vehicle batteries, AC adapters, non-rechargeable batteries, and generators. The portable power case provides for modularity that allows the user to disassemble and selectively remove the batteries installed within the portable power case housing.

A wearable pouch operable to hold at least one portable battery pack and other power or communications equipment. The wearable pouch includes a main body with a front side, a back side opposite the front side, at least one sealable opening, and at least one opening for at least one lead from the at least one portable battery pack secured within the wearable pouch.

The invention discloses an energy storage battery pack equalization control method, which belongs to the field of energy storage battery packs, and comprises the following steps: S1, constructing a multi-physics field-aging coupling model; s2, based on a multi-physical field-aging coupling model, space-time-frequency domain joint state estimation and unbalanced pattern recognition are realized; s3, formulating optimal equalization topology and control parameters according to space-time-frequency domain joint state estimation and an unbalanced mode recognition result; s4, establishing an electric-thermal-fluid multi-physics field coupling control model, and optimizing equalization current regulation and control, liquid cooling flow velocity and cooling fan rotating speed based on the optimal equalization topology and control parameters; and S5, optimizing the full life cycle of the digital twin drive. By adopting the equalization control method for the energy storage battery pack, the efficient coordination of the energy storage battery pack from dynamic modeling, accurate state estimation and intelligent equalization decision to full life cycle management is realized, and the equalization efficiency and the system reliability are remarkably improved.

Systems, methods, and articles for a portable power case are disclosed. The portable power case is comprised of at least one battery and at least one PCB. The portable power case has at least one USB port and at least two access ports, at least two leads, or at least one access port and at least one lead. The portable power case is operable to supply power to an amplifier, a radio, a wearable battery, a mobile phone, and a tablet. The portable power case is operable to be charged using solar panels, vehicle batteries, AC adapters, non-rechargeable batteries, and generators. The portable power case provides for modularity that allows the user to disassemble and selectively remove the batteries installed within the portable power case housing.

The invention discloses a battery cluster level fire-fighting linkage control method and system based on a BMS, and the method comprises the steps: carrying out the thermal runaway prediction through a multi-source feature fusion network according to the real-time voltage, temperature and gas concentration data of a battery cluster, and outputting a thermal runaway prediction level; on the basis of the thermal runaway prediction level, a dynamic priority mapping algorithm is utilized, and a control instruction set containing execution priority and spatial positioning is output according to the battery cluster topological structure; according to the control instruction set, a dual-channel redundant signal verification mechanism is adopted to execute a fire-fighting action, and a real-time action feedback signal is output; and on the basis of the real-time action feedback signal and the residual state data of the battery cluster, updating the parameter weight of the multi-source feature fusion network through a reinforcement learning model so as to be used for fire-fighting linkage control in the next period, and forming a closed-loop control link. According to the embodiment of the invention, battery cluster-level fire-fighting linkage control can be realized, so that the safety protection capability of a battery system is improved.

The invention discloses a BMS-based multifunctional integrated monitoring and fire control method and system, and the method comprises the steps: synchronously collecting the temperature, combustible gas concentration and dynamic environment monitoring data in a container through a BMU battery box management unit of a BMS, and generating a space-time correlated container environment state matrix; based on the environment state matrix, extracting temperature anomaly features, gas concentration gradient features and dynamic environment fluctuation features through a multi-modal feature fusion model, and constructing a multi-dimensional risk feature vector; inputting the multi-dimensional risk feature vector into a fire-fighting early warning optimization algorithm to generate a graded fire-fighting early warning signal; and according to the graded fire-fighting early warning signal, an active fire-fighting intervention strategy is triggered through a BMU unit of the BMS, a fire extinguishing device, a ventilation system and a power cut-off module are dynamically controlled, and a fire-fighting response path is synchronously optimized to be matched with the current risk grade. According to the embodiment of the invention, graded fire-fighting early warning can be realized, and the accuracy and timeliness of fire early warning are improved.

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.

Disclosed in the present application are a container, an energy storage apparatus, an energy storage system and a charging network. The energy storage apparatus comprises containers. There are m containers, where m≥2, and the m containers are arranged in the direction of height of the containers. The size of each container in the direction of length thereof is consistent with the size of a standard container in the direction of length thereof, the size of each container in the direction of width thereof is consistent with the size of a standard container in the direction of width thereof, the size of each container in the direction of height thereof is smaller than the size of a standard container in the direction of height thereof, and the sum of the sizes of m1 adjacent containers among the m containers in the direction of height thereof is equal to the sum of the sizes of n standard containers in the direction of height thereof. The size of m1 containers in the direction of height thereof is equal to the size of n standard containers in the direction of height thereof, such that the space occupied by m1 stacked containers is the same as the space occupied by n standard containers, thereby improving the space utilization rate of container placement, and reducing the container transportation cost, thus reducing the use cost of energy storage apparatuses.

Examples relate to vehicle battery systems comprising a base unit connectable to a vehicle's electrical system, a removable modular replaceable battery, and a secondary battery within the base unit. The base unit is configured to interchangeably use modular replaceable batteries of different chemistries. Control circuits optimize charging and discharging parameters based on battery chemistries. The secondary battery provides power when the modular battery is removed. The system includes thermal management, compatibility with lead-acid charging systems, and mobile base unit functionality. The modular battery can power external devices and can foreseeably store energy up to and beyond 1 kWh. The system operates at various voltages suitable for different vehicle types.

The present application discloses a container, an energy storage apparatus, an energy storage device, an energy storage system, and a charging network. The energy storage apparatus comprises containers, the number of containers is m, m≥2, and the m containers are arranged in the height direction of the containers. The dimensions of the containers in the length direction thereof are consistent with the dimensions of standard containers in the length direction, the dimensions of the containers in the width direction thereof are consistent with the dimensions of the standard containers in the width direction, the dimension of one container in the height direction is smaller than the dimension of one standard container in the height direction, and the sum of dimensions of adjacent m1 containers among the m containers in the height direction is equal to the sum of dimensions of n standard containers in the height direction. The dimensions of the m1 containers in the height direction are equal to the dimensions of the n standard containers in the height direction, such that the space occupied by the m1 containers when stacked is the same as the space occupied by the n standard containers, improving the utilization of container placement space, and reducing the transportation cost of the containers, thereby reducing the use costs of energy storage apparatuses.

An energy storage device (100), an energy storage system (2000), and a charging network (1000). The energy storage device (100) comprises a control module (30), a plurality of compartment bodies (10), and a plurality of energy units (2). The plurality of compartment bodies (10) are arranged in a first direction of the compartment bodies (10). The plurality of energy units (2) are accommodated in at least one compartment body (10). The control module (30) is used for electrically controlling the plurality of energy units (2). The size of at least one compartment body (10) among the plurality of compartment bodies (10) in the first direction is smaller than the size of one standard container in the first direction, the sum of the sizes of the plurality of compartment bodies (10) in the first direction is larger than the sum of the sizes of one or more standard containers in the first direction, and the first direction is the length direction, the width direction or the height direction of the compartment bodies (10).

Disclosed is a cylindrical lithium-ion battery, comprising a battery cell, a protection board, a first elastic conductive member, a second elastic conductive member and a fixing cap. The protection board is installed above the battery cell at intervals, a top surface of the protection board is provided with a metal contact. An upper end of the first elastic conductive member abuts against a bottom surface of the protection board and is electrically connected to a positive electrode of the protection board, and a lower end of the first elastic conductive member abuts against a top end of the battery cell and is electrically connected to a positive electrode of the battery cell. An upper end of the second elastic conductive member abuts against the bottom surface of the protection board and is electrically connected to a negative electrode of the protection board.

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.

An energy management system can comprise a housing configured to receive energy storage assemblies within an interior region of the housing via one or more openings on a surface of the housing. One or more guide tracks positioned within the interior region can mechanically and electrically couple to the energy storage assemblies. One or more switches can electrically couple the energy storage assemblies in series to increase a voltage provided from energy storage assemblies to an electrical load and can electrically couple the energy storage assemblies in parallel to facilitate charging the energy storage assemblies from an energy source.

The invention discloses a linkage protection method of a battery energy storage system and the battery energy storage system. The linkage protection method of the battery energy storage system comprises the following steps: S1, monitoring multi-dimensional operation parameters of a battery pack in real time; s2, performing parallel feature extraction on the multi-dimensional operation parameters based on a preset dynamic association model; s3, establishing a three-dimensional safety assessment coordinate system, performing vector overlay analysis on each representation value and a corresponding axial threshold boundary, and outputting four-stage dynamic safety level criteria; and S4, activating the hierarchical protection coprocessor according to the dynamic security level criterion. According to the method, through the core design of multi-dimensional dynamic correlation modeling and hierarchical cooperative control, the problems of response delay and protection blind areas of a traditional method under complex working conditions are solved, an innovative three-dimensional safety evaluation system recognizes potential risks in advance, the cooperative efficiency of a hierarchical protection mechanism is improved, and the false triggering rate of disconnection decision is reduced.

The invention relates to the technical field of lithium battery management, and discloses a cloud-based lithium battery management method and system, and the method comprises the steps: constructing a cloud collaborative management framework, and obtaining a dynamic adjustment factor and a degradation compensation coefficient; performing multi-dimensional state joint estimation, and predicting the health state and the residual life of the battery; a dynamic balance control strategy is set, and energy differences among the monomers are compensated; and closed-loop feedback and model iteration are carried out. The system comprises a distributed data acquisition unit, an edge computing unit, a cloud analysis platform, a communication gateway and a balance execution unit. According to the method, technologies such as cloud collaborative management, multi-dimensional data processing, dynamic balance control and model iterative optimization are utilized, accurate management of the lithium battery is realized, the battery state prediction accuracy can be improved, the service life of the battery can be prolonged, the system safety and stability can be enhanced, and the method is suitable for various lithium battery application scenes.

An electrical system with selectable output voltage is disclosed. An example system includes a first set of energy storage modules, a second set of energy storage modules, a choke connected to the first set of energy storage modules and the second set of energy storage modules, and a switch configured to switch between a first state and a second state. Upon switching the switch to the first state, the first set of energy storage modules are connected in parallel with the second set of energy storage modules to provide a first voltage to at least one output. Upon switching the switch to the second state, the first set of energy storage modules are connected in series with the second set of energy storage modules to provide a second voltage to the at least one output.

Systems, methods, and articles for a wearable and lightweight portable power case are disclosed. The portable power case is comprised of a cylindrical housing, at least two battery elements connected to a printed circuit board (PCB), and at least one separating barrier between the at least two batteries and the PCB. The portable power case is operable to supply power to an amplifier, a radio, a wearable battery, a mobile phone, a tablet, a portable satellite dish and / or any other power consuming device. The portable power case is operable to be charged using solar panels, vehicle batteries, AC adapters, non-rechargeable batteries, and / or generators.

The invention relates to the technical field of battery management systems, and particularly discloses a multi-dimensional parameter fused multi-battery-pack parallel dynamic balance control method and system, and the system comprises a multi-dimensional space-time parameter deep fusion module, an aging driving parameter weight self-adaption unit, a twin closed-loop strategy iteration system and a battery pack dynamic balance execution layer. Utilizing the state data output by multi-dimensional parameter fusion to drive aging weight adjustment; a weight strategy is verified and optimized through a twin system, and then feedback parameter fusion and weight adjustment are performed, so that the system continuously adapts to the battery state change. Multi-dimensional parameters such as voltage, current, temperature, internal resistance, SOC, SOH and the like are collected, time-space correlation characteristics are constructed in combination with timestamps and spatial position information, electrochemical, thermal and life states and time-space scene correlation of the battery are comprehensively covered through preprocessing and time-space attention mechanism neural network fusion, the one-sidedness of traditional single parameter evaluation is solved, and the evaluation accuracy is improved. Potential imbalance risks are identified in advance.

Methods are disclosed of controlling operation of a Li-ion battery system. Such methods include obtaining a predicted state of the Li-ion battery system from a reduced order model either with degradation (in first methods) or without degradation (in second methods), and correcting said predicted state by applying a Kalman filter to the predicted state and battery measurements such that an improved predicted state is generated. In second methods, degradation is modelled through degradation model separated or independent from reduced order model without degradation. Li-ion battery system is controlled based on the improved predicted state of the Li-ion battery system. Systems, computing systems and computer programs are also disclosed which are suitable to perform said methods.

The invention discloses a lithium battery thermal runaway active protection method and system combined with self-supervised learning, and relates to the technical field of thermal runaway protection, and the method comprises the steps: detecting the dynamic impedance of a battery through a high-frequency excitation signal; learning data internal distribution characteristics by comparing loss functions; constructing a generator to simulate early-stage characteristics of thermal runaway, and optimizing the sensitivity of a simulation model to an abnormal mode through a discriminator; the early warning value is updated in real time to adapt to battery aging and working condition changes; establishing a multi-physics field coupling model; the simulation data and real experiment data are fused; dynamically adjusting the charging current based on the battery health state; and positioning a thermal runaway fault unit through the graph neural network. By arranging the abnormity simulation module, the self-supervised learning module and the model building module, abnormal signals in the early stage of thermal runaway are found in advance, active protection is achieved, battery aging and working condition changes are adapted, and the accuracy and reliability of early warning are improved.

Electric and hybrid off-road vehicles, accessories and frames therefor are provided. An off-road vehicle comprises a frame assembly, at least one front and rear wheel, at least one electric motor, at least one battery and at least one final drive unit operatively coupled to at least one wheel. The electric motor is operatively coupled to the final drive unit for transferring torque from the electric motor to the wheel. A battery assembly having electric components integrated thereto is provided. A structural battery is configured to provide a structural connection between at least two of a top, bottom, front and rear portions of a frame assembly for an off-road vehicle, and for receiving loads therefrom. Improved drivetrain arrangements provide flexibility in operating an off-road vehicle and improve overall performance. The environmental impact of off-road vehicles is reduced. Weight and complexity of off-road vehicle frames are reduced without affecting stability or safety.

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.

Systems, methods, and articles for a wearable and lightweight portable power case are disclosed. The portable power case is comprised of a cylindrical housing, at least two battery elements connected to a printed circuit board (PCB), and at least one separating barrier between the at least two batteries and the PCB. The portable power case is operable to supply power to an amplifier, a radio, a wearable battery, a mobile phone, a tablet, a portable satellite dish and / or any other power consuming device. The portable power case is operable to be charged using solar panels, vehicle batteries, AC adapters, non-rechargeable batteries, and / or generators.

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.

Embodiments described herein relate to electrochemical cells with dendrite prevention mechanisms. In some aspects, an electrochemical cell can include an anode disposed on an anode current collector, a cathode disposed on a cathode current collector, the cathode having a first thickness at a proximal end of the cathode and a second thickness at a distal end of the cathode, the second thickness greater than the first thickness, a first separator disposed on the anode, a second separator disposed on the cathode, an interlayer disposed between the first separator and the second separator, the interlayer including electroactive material and having a proximal end and a distal end, and a power source electrically connected to the proximal end of the cathode and the proximal end of the interlayer, the power source configured to maintain a voltage difference between the cathode and the interlayer below a threshold value.

Embodiments described herein relate to electrochemical cells with dendrite prevention mechanisms. In some aspects, an electrochemical cell can include an anode disposed on an anode current collector, a cathode disposed on a cathode current collector, the cathode having a first thickness at a proximal end of the cathode and a second thickness at a distal end of the cathode, the second thickness greater than the first thickness, a first separator disposed on the anode, a second separator disposed on the cathode, an interlayer disposed between the first separator and the second separator, the interlayer including electroactive material and having a proximal end and a distal end, and a power source electrically connected to the proximal end of the cathode and the proximal end of the interlayer, the power source configured to maintain a voltage difference between the cathode and the interlayer below a threshold value.

The invention provides a self-maintenance system based on single storage battery operation state difference monitoring, which comprises a distributed monitoring module array, each monitoring unit comprises a multi-parameter fusion sensor group, and the distributed monitoring module array is used for acquiring the voltage fluctuation frequency spectrum, temperature gradient distribution, internal resistance change track and electrolyte ion migration rate of a single battery in real time; and the dynamic difference evaluation module is used for processing the multi-dimensional time sequence data by adopting a time sequence convolutional neural network and calculating the operating state difference degree among the monomers. Through the distributed monitoring module array and the multi-parameter fusion sensor group, multi-dimensional data such as the voltage, the temperature, the internal resistance and the electrolyte ion migration rate of the single batteries are collected in real time, and the operation state difference between the single batteries can be accurately quantified in combination with the time sequence convolutional neural network and the dynamic difference evaluation algorithm. Abnormal monomers are effectively identified, and a reliable basis is provided for a subsequent maintenance strategy.