123 results about "Lithium ion battery pack" patented technology

The invention discloses a distributed light storage and charging integrated system, which comprises a photovoltaic power generation unit, an energy storage unit, a charging unit, a power grid interface unit, an energy management controller and a direct current bus, the photovoltaic power generation unit comprises a DC / DC converter, and the photovoltaic power generation unit is connected with the DC bus through the DC / DC converter; the energy storage unit comprises a lithium ion battery pack, a flywheel energy storage device, a bidirectional DC converter and a flywheel controller. The lithium ion battery pack and the flywheel energy storage device are connected to the DC bus through the bidirectional DC converter and the flywheel controller respectively. The charging unit comprises at least one direct-current quick charging pile, at least one alternating-current slow charging pile and a DC / AC inverter, the direct-current quick charging pile is directly connected with the direct-current bus, and the alternating-current slow charging pile is connected with the direct-current bus through the DC / AC inverter; the power grid interface unit comprises an AC / DC converter and is connected with the DC bus through the AC / DC converter. According to the invention, through collaborative design of a modular hardware architecture and an intelligent time-sharing strategy, comprehensive improvement of economy, reliability and functionality of the system is realized.

The present disclosure relates to a lithium-ion battery component and methods for manufacturing the lithium-ion battery component. The battery component, in some examples, includes a current collector, a porous deposit of first active material and first binder on the current collector, and a solvent-free electrode layer of second active material and second binder laminated with the porous deposit to at least partially occupy the pores of the porous deposit.

The invention discloses a thermal management control method and system for a lithium ion battery pack, and relates to the field of thermal management control, and the method comprises the steps: obtaining a heat production limit value of the lithium ion battery pack under the condition of a configuration combination scheme; simulating a reaction state when the lithium ion battery pack is subjected to thermal runaway, and evaluating the heat burst and combustion speed of the lithium ion battery pack in combination with a temperature change curve in the thermal runaway process; screening out an optimal arrangement mode of the lithium ion battery pack, and establishing test sample points taking the number of cooling channels and the thickness of the phase change material as design quantities; simulating the heat absorption process of the lithium ion battery pack in the optimal arrangement mode, and obtaining the optimal number of cooling channels and the thickness of a phase change material in a target range according to a simulation result; and establishing a target optimization model relationship according to the optimal number of cooling channels, adjusting the structure of the liquid cooling plate, and optimizing the thermal management process of the lithium ion battery pack. According to the invention, the battery pack can be kept in a safe temperature range in the rapid charging and discharging process.

A computer-implemented method for modeling thermal and electrochemical properties of lithium-ion battery packs is disclosed. A physics-based thermo-electro-chemical battery model is received comprising electrochemical reaction equations and thermal transport equations. A computer aided design (CAD) file is imported defining physical cell arrangements within a battery pack. Thermal connectivity matrices are automatically generated from the CAD file, where the matrices define heat transfer pathways between adjacent cells. A scaling algorithm transforms single-cell Single-Particle Model (SPM) equations into multi-cell coupled differential equations for the battery pack. The thermal and electrochemical behavior are simulated across the battery pack using the scaled equations to determine at least one battery performance characteristic based on the simulation.

The invention relates to the technical field of lithium ion battery safety monitoring, and discloses a method and a device for early warning and positioning thermal runaway of a lithium ion battery pack in advance. The method comprises the following steps: firstly, collecting real-time voltage, temperature, current and serial number data of each battery cell, and constructing a battery cell state observation tensor with a time-space label; running a battery cell thermoelectric state extended Kalman estimation algorithm based on the tensor to generate a battery cell health state partial sequence lattice; and then constructing a thermal runaway risk propagation phase space grid, finally executing manifold analysis-based local attractor region identification and early warning decision under the constraint of the grid, and outputting a high-risk source cell number and an early warning level. According to the invention, the problems of early warning lag, lack of cell group state consistency dynamic evaluation and incapability of accurately positioning fault cells caused by dependence on later physical symptoms in the prior art are solved, and the thermal runaway early warning timeliness and positioning accuracy are improved.

The invention provides a lithium ion battery pack temperature prediction method and system and a storage medium, and the method comprises the steps: obtaining historical operation data of a battery pack liquid cooling system, carrying out the preprocessing of the historical operation data, and obtaining an operation data set; constructing a thermal management model according to the operation data set, and obtaining a training residual sequence of the thermal management model; training a neural network model according to the operation data set and the training residual sequence, and performing parameter optimization on the neural network model; combining the neural network model after parameter optimization with the thermal management model to obtain a battery pack temperature prediction model; and obtaining to-be-measured operation data of the battery pack liquid cooling system, and inputting the to-be-measured operation data into the battery pack temperature prediction model for temperature prediction to obtain a predicted temperature value. According to the embodiment of the invention, the to-be-measured operation data is input into the battery pack temperature prediction model for temperature prediction, so that the battery temperature of the to-be-measured lithium ion battery pack can be effectively predicted, and the temperature prediction efficiency of the lithium ion battery pack is improved.

The efficient heat exchanger comprises an integrated U-shaped aluminum shell, a topological optimization liquid cooling system, a built-in heat pipe heat dissipation system and a trigger type semiconductor refrigeration system, and all the systems achieve structural coupling with the U-shaped aluminum shell as a carrier. The flow channel of the topological optimization liquid cooling plate is generated through a machine learning model. According to the topological optimization liquid cooling plate in the heat exchanger liquid cooling system, the heat exchange efficiency is remarkably improved, and meanwhile the effects of light weight and material saving can be achieved. The whole battery adopts a U-shaped structure, so that the contact area between the battery and the heat exchanger is increased, and the heat exchange efficiency is improved. When the battery is in thermal runaway, the semiconductor refrigeration system can be used for quickly cooling, so that safety accidents are prevented. In addition, the heat pipe is used for heat dissipation, local overheating is avoided, and quick response can be achieved for heat dissipation. Meanwhile, the aluminum shell is filled with the heat pipes, the space utilization rate is high, the overall structure is compact, and the occupied space is small.

The invention belongs to the field of battery thermal runaway early warning, and particularly relates to an early warning method and device for thermal runaway of a lithium ion battery pack, and the method comprises the steps: firstly collecting the voltage, temperature and current data of a battery cell, and judging the grade of a current working condition according to a preset rule; self-adaptively matching a corresponding alternating current excitation strategy according to the working condition grade and applying excitation; synchronously acquiring the compensated excitation current and the voltage response of each battery cell through a sampling chip configured with a compensation strategy; based on the response information, a multi-dimensional impedance anomaly judgment strategy is combined, and a judgment parameter set containing impedance deviation, thermal runaway risk, voltage and temperature deviation flag bits is calculated and generated; and finally, determining the thermal runaway risk level of the battery pack through an evaluation algorithm according to the parameter set, and packaging and reporting the thermal runaway risk level through CAN communication. According to the invention, on-line and accurate sensing and early warning of the internal state of the battery under various working conditions such as standing and dynamic operation are realized.

The present application relates to a kind of lithium ion battery pack online floating charge method, comprising the following contents: when lithium battery pack is charged to 100%SOC, the charging voltage of charging equipment is adjusted to floating voltage V floating;When lithium battery pack is in discharge state, and the SOC of lithium battery pack is less than 90%, the working state of charging equipment is adjusted to constant-current charging to SOC reaches 90%, and then long-term floating is charged with floating voltage V floatingThe present application is measured and calibrated floating voltage V floating by long-time standing voltage under multiple working conditions, avoids the problems such as battery overcharge, positive material phase transition, internal resistance rise caused by traditional fixed high-voltage floating, greatly reduces the damage of long-term floating to battery, effectively improves the cycle service life of lithium ion battery pack in online scene such as UPS, base station, standby power supply and the like.

A lithium-ion battery component with an electrode includes a current collector and a silicon-based active layer. The active layer includes a polyacrylonitrile lattice structure with continuous carbon domains. Silicon particles are distributed within the vacancies of the polyacrylonitrile lattice, which is configured to confine the silicon particles during the volume expansion and contraction that occurs during charge cycling.

The invention relates to the technical field of high-end equipment manufacturing, in particular to a flexible carrying and stacking system and method for lithium ion battery packs. The system comprises a battery pack feeding device, a battery pack centering deviation correcting device, a battery pack turnover conveying device, a battery pack grabbing device, a battery pack temporary storage device and a battery pack stacking device, and all the devices are sequentially connected in the battery pack turnover direction and work cooperatively. The method comprises the steps of battery pack preliminary positioning, centering deviation correction, path distribution and caching, turnover conveying, clamping jaw replacement, grabbing, stacking and the like. According to the lithium ion battery pack carrying and stacking device, the technical effects that flexible carrying and classified stacking are conducted on lithium ion battery packs of different batches, specifications and types, the carrying and stacking efficiency and accuracy are improved, and efficient circulation and storage of the battery packs are achieved are achieved.

The application provides a lithium ion battery pack temperature prediction method, system and storage medium, and the method comprises the following steps: obtaining historical operation data of a battery pack liquid cooling system, preprocessing the historical operation data to obtain an operation data set; constructing a thermal management model according to the operation data set, and obtaining a training residual sequence of the thermal management model; training a neural network model according to the operation data set and the training residual sequence, and optimizing parameters of the neural network model; combining the neural network model after parameter optimization and the thermal management model to obtain a battery pack temperature prediction model; obtaining to-be-tested operation data of the battery pack liquid cooling system, inputting the to-be-tested operation data into the battery pack temperature prediction model for temperature prediction, and obtaining a predicted temperature value. According to the application, the to-be-tested operation data is input into the battery pack temperature prediction model for temperature prediction, so that the battery temperature of the to-be-tested lithium ion battery pack can be effectively predicted, and the lithium ion battery pack temperature prediction efficiency is improved.

The application discloses a novel vehicle-mounted high-low voltage fusion power supply network, comprising: a modular 48V high-voltage energy storage unit, which is composed of N lithium ion battery packs with a nominal voltage of 48V in series, forms a high-voltage DC bus, and each battery pack is integrated with an independent battery management subsystem; a full-isolation three-port DC / DC converter, whose high-voltage input end is connected to the high-voltage DC bus, has two low-voltage output ends that are electrically isolated from each other and completely isolated from the high-voltage side, wherein the first low-voltage output end is a 12V output end, directly connected to a vehicle 12V electrical network, and the second low-voltage output end is a 48V output end, serving as a medium-voltage distribution bus; through modular high-voltage energy storage, full-isolation multi-port power conversion, intelligent power distribution control and hardware-level redundancy design, the architecture completely cancels the 12V lead-acid storage battery, and realizes efficient, safe and bidirectional flow of energy among multiple voltage domains.

The invention discloses a high-power-density driving and energy control integrated electromechanical servo mechanism. Control drive components are integrated into an intelligent microsystem through the SIP stacking technology, high integration and miniaturization of a control driver are achieved, and the problems of heat dissipation and heat conduction are solved by attaching the metal adapter plate to the surface of the shell. The semi-solid lithium ion battery pack is used as an energy part, the appearance of the battery pack is designed according to shell structure matching, and the total envelope size is reduced. Meanwhile, the peak current output capability of the power supply is fused with a motor acceleration control method, and the regenerative electric energy absorption capability of the power supply is fused with a motor deceleration control method; a driver direct current bus input filter capacitor and a power supply output capacitor are fused, power supply output current and voltage detection and driver bus voltage monitoring are fused, and the optimal design of energy control driving comprehensive performance is achieved.

The application discloses an active equalization control method and equipment of a lithium ion battery pack, and relates to the field of battery charging and discharging. The method first establishes an equalization priority based on a health state, sets an initial range threshold and a refresh frequency upper limit, and then adjusts a decision state of charge by using the equalization priority and constructs an energy transfer path matrix to perform active equalization. On the basis of real-time monitoring of the state of charge range, when the equalization execution frequency reaches the upper limit, an aging factor calculated based on the maximum value of the health state decline and the average attenuation rate of the state of charge range is introduced, and a convergence factor calculated based on the current equalization execution frequency is combined to adaptively update and reset the refresh frequency upper limit and the range threshold. Through the equalization priority quantization and the dual dynamic adjustment mechanism based on the aging factor and the convergence factor, the application realizes accurate response to the aging characteristics of the battery pack, and significantly improves the long-term stability and convergence efficiency of the equalization system.

A lithium-ion battery component and methods for producing the lithium-ion battery component are presented. The lithium-ion battery component includes a current collector and a solvent-free electrode layer laminated onto the current collector. The solvent-free electrode layer has an active material, a conductive additive, a binder, and a fluorinated polyether in a dry mixture. The fluorinated polyether is incorporated to promote interfacial contact and adhesion between the solvent-free electrode layer and the current collector.

The invention discloses a lithium battery equalization monitoring and charging system with a dynamic power path management function. The lithium battery equalization monitoring and charging system comprises a lithium ion battery pack, a battery charging module, a battery monitoring and equalization module, a current detection module, a DC-DC voltage reduction module and a low-power-consumption MCU. External voltage supplies power to the battery charging module through the DC-DC voltage reduction module; the lithium ion battery pack is respectively connected with the battery charging module and the battery monitoring and equalizing module and is used for monitoring the lithium ion battery pack; the current detection module is connected with the battery charging module and is used for measuring battery charging current; and the low-power-consumption MCU is connected with the battery charging module, the current detection module and the battery monitoring and equalizing module, and is used for receiving battery monitoring information and controlling an enabling pin of a chip in the battery equalizing and charging module. According to the lithium battery equalization monitoring and charging system provided by the invention, a dynamic power supply path management function is utilized, the system is supported to be powered by an adapter or a battery, the power consumption is relatively low, and the system is integrated on a satellite-borne module without influencing the operation of other functions.

The invention discloses an echelon utilization lithium ion battery pack capable of losslessly replacing internal batteries. The echelon utilization lithium ion battery pack comprises a battery pack shell, a top cover, a battery limiting plate, a first electric connecting plate, a second electric connecting plate and an air duct structure, the battery limiting plates sleeve the single battery cells and are bonded with the inner wall of the shell through heat-conducting glue to limit the horizontal displacement of the battery cells; the first electric connecting plate and the second electric connecting plate are respectively propped against two ends of the battery cell and are matched with two types of battery cells, namely single-end single-electrode and single-end double-electrode; air ducts are arranged on the top cover and the bottom plate of the shell and matched with ventilation holes of the electric connecting plate and the limiting plate, and forced convection heat dissipation is achieved under the action of the exhaust device. According to the invention, the failed battery cell can be replaced without damage, the echelon utilization value is improved, the battery cell is compatible with various types, the heat dissipation is efficient, and the adaptability is strong.

The invention discloses a lithium ion battery pack device and method capable of actively inhibiting thermal runaway flames. The lithium ion battery pack device comprises a single battery thermal runaway detection assembly, a jet drowning extinguishing assembly, an initial cooling inerting assembly, a single battery guide / discharge channel, a total discharge channel inerting assembly and a controller. The single battery guide channel is connected with the single lithium battery shell, the safety valve and the discharge channel; the detection assembly is arranged on the guide channel near the safety valve to monitor a rupture signal of the anti-explosion sheet; the spraying drowning assembly is arranged at the junction of the two channels and is used for cooling the high-temperature particles; the initial cooling inerting assembly is provided with a discharge channel, and thermal runaway gas is initially inerted; and the total release channel inerting assembly is arranged at the tail end of the release channel and is used for deeply inerting gas. According to the scheme, through thermal runaway detection, active flame suppression, smoke dilution and rapid positioning of a thermal runaway battery, flame formation is prevented, and harm is reduced.

This invention relates to the field of battery safety technology and discloses a method and device for safety early warning of lithium-ion battery packs based on enhanced core Markov distance. The invention processes historical monitoring data of lithium-ion battery packs that have experienced thermal runaway using data augmentation and nonlinear transformation methods to obtain a target relationship characterizing the enhanced core Markov distance. Data augmentation better reflects the dynamic characteristics of the lithium-ion battery pack, preserving the correlation between each feature and historical data. Simultaneously, the nonlinear transformation method better describes the nonlinear relationships between monitoring data during the historical charge and discharge processes of the lithium-ion battery. Furthermore, by using historical monitoring data of lithium-ion battery packs that have not experienced thermal runaway and combining it with the target relationship characterizing the enhanced core Markov distance, a control limit for safety early warning can be generated. Finally, by combining the enhanced core Markov distance of the lithium-ion battery pack to be warned, a safety early warning can be achieved for the lithium-ion battery pack to be warned.

The utility model discloses a kind of staggered lithium ion battery nickel sheet support assembly, including staggered support, still including positioning frame, arc block and connecting frame, the staggered support is inserted in positioning frame, and the positioning frame inner wall is equipped with antiskid rubber strip, two The connecting frame is symmetrically slidably connected in the both sides of positioning frame, multiple The arc block is symmetrically fixedly connected on connecting frame;The utility model can effectively avoid the offset of welding point.

The invention discloses a fault detection method for a voltage sensor of a series lithium ion battery pack and a related device. The fault detection method comprises the following steps: dividing all battery monomers in the series battery pack into representative battery monomers and non-representative battery monomers; constructing a dual-time-scale state estimation frame, and respectively generating a voltage residual sequence of a representative battery monomer and a voltage residual sequence of a non-representative battery monomer under a microscopic time scale and a macroscopic time scale by using the dual-time-scale state estimation frame; and carrying out voltage sensor fault detection based on the voltage residual sequence of the representative single battery and the voltage residual sequence of the non-representative single battery. The method and the related device can carry out rapid detection and accurate positioning on the voltage sensor fault.

The invention discloses mango cluster embracing, cutting and harvesting integrated new energy agricultural equipment which comprises a walking mechanism, a picking mechanism, a conveying mechanism, a collecting mechanism and a multi-power-source cooperative power supply system. The picking mechanism comprises a visual positioning mechanism, a cluster gathering mechanism, a cutting mechanism and a fruit receiving mechanism; the cluster folding mechanism comprises a cluster folding plate, a cluster folding rod and a folding driving mechanism; the cluster folding plate comprises a fixed plate and a telescopic plate, the number of the cluster folding rods is two, each cluster folding rod comprises a fixed rod and a telescopic rod, one end of each telescopic rod extends into an inner cavity of the corresponding fixed rod through a telescopic structure, and the other end of each telescopic rod is fixedly connected with the corresponding telescopic plate; the multi-power-supply cooperative power supply system adopts a double-source cooperative architecture formed by combining a lithium ion battery pack and a super capacitor. According to the method, efficient harvesting can be achieved under the large-range crown covering condition, labor input is reduced, and seasonal labor shortage is relieved.

The present invention relates to a method for replacing a battery pack of a hybrid electric vehicle, characterized in that a nickel-metal hydride battery pack in which 28 cell modules with a nominal voltage of 7.2V are arranged in series and in which pack terminals N1 to N15 for voltage sensors are installed alternately in order in the cell modules, is replaced with a lithium-ion battery pack in which a plurality of cell modules with a nominal voltage of 28.8V are arranged in series and in which module terminals R1 to R12 for voltage sensors are respectively installed in the cell modules.

This invention discloses a method for diagnosing self-discharge anomalies in energy storage battery packs based on short-term charging data, belonging to the field of battery safety monitoring technology. Addressing the shortcomings of existing methods that rely on complete charge-discharge cycles and are difficult to adapt to multi-stage varying operating conditions, this invention extracts features from multi-stage charging data, combines an autoencoder to achieve adaptive extraction of features under multiple operating conditions, and constructs a data-driven model fused with GCN-BiLSTM (Graph Convolutional Network-Bidirectional Long Short-Term Memory) to accurately estimate the RCC (Remaining Charging Capacity) of individual battery cells. Finally, based on the size, distribution, and changes of the RCC of each individual cell in the battery pack, we can diagnose overall battery pack inconsistencies, individual cell SOC inconsistencies, and self-discharge faults. This provides a guarantee for the safe operation of energy storage systems.

The invention relates to the technical field of base station energy storage, and discloses an energy storage device for a communication base station and a working method thereof, and the device comprises a commercial power grid, an AC / DC converter, a hybrid energy storage module, a bidirectional DC / DC switching module, a base station, a DC / DC adapter, a renewable energy module, a safety protection module, an environment monitoring module, an energy management module and a communication module. The AC / DC converter is used for converting commercial power into direct current to charge the hybrid energy storage module or directly supply power to a base station load; by adopting a hybrid energy storage framework of the lithium ion battery pack and the supercapacitor bank and combining intelligent energy management, long-time and high-capacity energy support can be provided, load fluctuation and sudden power failure can be quickly responded, and uninterrupted power supply of the communication base station is effectively guaranteed; moreover, by integrating the renewable energy access capability and optimizing scheduling through the energy management module, clean energy is utilized to the maximum extent, dependence on the mains supply is reduced, the operation cost is reduced, and meanwhile energy conservation and emission reduction are achieved.

The invention discloses a lithium ion battery pack with a high-temperature thermal control structure for an unmanned aerial vehicle, simultaneously solves the problems of heat dissipation, cooling and thermal runaway of the lithium ion battery pack for the unmanned aerial vehicle, and belongs to the technical field of batteries for the unmanned aerial vehicle. Reducing the battery pack temperature; when the battery pack is subjected to thermal runaway, the composite heat dissipation layer releases a fire extinguishing agent to form a fire-resistant insulating layer to resist thermal runaway flame jet and inhibit thermal runaway propagation caused by monomer active substance jet.

A solid-state lithium-ion battery component includes an electrode with a current collector and a silicon-based active layer. The active layer is made of silicon nanoparticles encapsulated within an interwoven carbon nanotube network. The carbon nanotube network is configured to maintain electrical connectivity and mechanically stabilize the silicon nanoparticles during volumetric expansion and contraction of the electrode throughout charge cycling.

The present application relates to the technical field of lithium ion battery, in particular to a flame-retardant in-situ cured gel solid electrolyte with self-repairing function and a preparation method thereof. The gel solid electrolyte is formed in the assembling process of lithium ion battery by non-in-situ polymerization, and the interface resistance between the gel solid electrolyte and electrode active material is large, which can significantly reduce the conductivity of electrolyte. In view of the above technical problems, the present application provides a flame-retardant in-situ cured gel solid electrolyte with self-repairing function, which is a semi-solid gel product obtained by polymerization and crosslinking of flame-retardant in-situ cured gel solid electrolyte under heating condition. The flame-retardant in-situ cured gel solid electrolyte is obtained by in-situ polymerization of flame-retardant in-situ cured gel solid electrolyte in lithium ion battery, and the interface resistance between the gel solid electrolyte and electrode active material is small, the conductivity of the obtained electrolyte is high, and the conductivity and capacity retention rate of lithium ion battery are further improved.

This invention provides an energy management system for a modular robot, comprising a local management unit within each modular unit and a global scheduling unit located on the main control side of the modular robot. The local management unit, centered on a microcontroller, includes an energy bus dynamic reconfiguration module, a lithium-ion battery pack management and monitoring module, a lithium-ion battery pack current capacity estimation module, and a modular unit energy consumption prediction module. It estimates and outputs to the main control controller the current capacity of each modular unit and the future energy consumption requirements for each trajectory in the task sequence. The global scheduling unit, centered on the main control controller, includes a modular robot energy scheduling module. Based on data provided by each microcontroller, it performs global energy planning for the operation of the modular robot and sends energy scheduling commands to each microcontroller. This invention is applicable to solving the problem of localized failures caused by uneven energy consumption in independent power supply systems, and improving the remaining power balance rate.