212 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 invention relates to a method for active balancing of lithium-ion battery packs based on time optimization, belonging to the field of lithium batteries. A hierarchical active balancing topology structure of module-to-module architecture and unit-to-module architecture is constructed; a relationship between the battery state of charge (SOC) and the pulse width modulation (PWM) duty cycle of the equalizer is established, and the balancing controller is made to act directly on the field effect transistor of the equalizer; by reducing the micro-cycle period between the charge and discharge of the intermediate battery, the SOC of the battery is ensured to converge to a point; a hierarchical balancing topology structure is also developed to simplify the battery pack structure and reduce computing costs. The present invention adopts a time-optimal model predictive control (MPC) strategy and designs a time-optimal method for reducing the micro-cycle of charge and discharge of the intermediate battery, overcoming the problems of large energy loss and rapid battery temperature rise when solving the problem of battery pack inconsistency, and improving the robustness of the system.

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 system for dismantling the spent lithium-ion battery pack includes: a transfer section including transfer rails and a gantry robot on the transfer rails; a discharge processing section including an index table on which a discharging task of discharging a battery pack is performed; a battery disassembly section including a worktable on which a disassembly task is performed to cut connections of the battery pack, disassembly robots, and first transfer trolleys; and a cell extraction section including an extraction robot, a second transfer trolley configured to carry out battery cells, of which the connections have been cut by the disassembly task, to the outside, and a third transfer trolley configured to carry out a tray on which the battery cells are placed to the outside. The index table, the worktable, the second transfer trolley, and the third transfer trolley are arranged directly below the transfer rail.

The invention discloses a lithium ion battery thermal runaway propagation path prediction and intelligent blocking system. The system comprises a lithium ion battery pack, a high-precision sensor group, an intelligent blocking module, a central controller, an algorithm regulation and control module, a data processing module and a monitoring and feedback module. The intelligent blocking module dynamically adjusts the battery state according to the prediction result, and thermal runaway diffusion is avoided; the algorithm regulation and control module analyzes sensor data by using a dynamic neural radiation field NeRF model and generates an optimal blocking scheme; according to the method, the occurrence and propagation path of thermal runaway can be accurately predicted by adopting a high-precision sensor and an intelligent algorithm, so that the temperature and current are intelligently regulated and controlled for blocking, the safety and reliability of a battery system are effectively improved, and meanwhile, potential risks caused by thermal runaway can also be reduced.

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 invention discloses an electric power storage system and equipment, and relates to the technical field of electric power systems. The system comprises a data acquisition and prediction module, a hybrid energy storage equipment group, an intelligent control module, a collaborative interaction module and a safety protection module. The data acquisition and prediction module acquires historical and predicted environment, power consumption and power supply quantity data; the intelligent control module calculates a storage stability coefficient and a power consumption matching index based on the data, and dynamically controls a hybrid energy storage device group consisting of a lithium ion battery pack, a super capacitor and a liquid flow battery pack to charge and discharge; the collaborative interaction module realizes power interaction with new energy equipment and a power grid, and the safety protection module ensures reliable operation of the system. The method can adapt to the new energy volatility, improves the power storage efficiency and the system stability, and is suitable for the scenes of new energy consumption, power grid peak regulation and the like.

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 provides a battery equalization control system, and relates to the technical field of lithium ion battery pack equalization, and the method comprises the steps: firstly, employing terminal voltage, temperature and internal resistance data, carrying out the cooperative online estimation of the SOC and SOH of a single body through an extended Kalman filtering method and an internal resistance increment method, and introducing a temperature compensation function to carry out the real-time correction of an estimation error; and constructing a comprehensive consistency index to dynamically trigger the equalization demand. Carrying out dimensionality reduction on the high-dimensional state of the battery pack by adopting intrinsic orthogonal decomposition, extracting a dominant mode, sending the dominant mode into a lightweight LSTM network, and outputting an optimal current sequence and duration taking balance time and energy consumption into consideration through small sample training; during online operation, model input is updated in a rolling manner every preset time, a path is recalculated, and rapid convergence and fine adjustment are completed through double-stage self-adaptive current control in an offline scene. The invention aims to solve the problems of low equalization speed, low efficiency and strong dependence on big data samples in the prior art.

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 invention relates to the technical field of lithium ion battery operation safety evaluation, relates to the technical field of battery safety, and aims to reasonably match working battery groups required in an actual application scene through reasonable grouping, prolong the service life of batteries through grouping operation, and avoid single battery modules adjacent in physical position as much as possible during grouping. According to the lithium battery pack, rapid heat rising and concentration during operation of the working battery pack are avoided, a buffer area exists in the lithium battery pack as much as possible during operation, the buffer area is beneficial to heat dissipation and serves as a preparation pack of the next-stage working battery pack, and through real-time monitoring of temperature / voltage abnormity of the battery module pack and monitoring of the adjacent battery pack, the energy consumption of the lithium battery pack is reduced. And dynamically adjusting the working priority. The system has the advantages that it is ensured that the system responds to the load requirement through the optimal battery module combination, the output capacity is maximized on the premise that safety is ensured, and the reliability and safety are improved when products with the high power and the high energy storage capacity are used for meeting the small electricity consumption scene.

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.

The invention discloses an active equalization circuit of a lithium ion battery pack. The active equalization circuit comprises a plurality of battery cells which are connected in series; each battery cell is correspondingly provided with two battery switches and one equalization driving switch; the active equalization circuit of the lithium ion battery pack further comprises an analog front-end circuit, wherein the control ends of the equalization driving switches are connected with the battery equalization control ports in a one-to-one correspondence manner; one path of the first variable bus is connected with the charging positive electrode through the first charging switch, the other path of the first variable bus is connected with the charging negative electrode through the second charging switch, one path of the second variable bus is connected with the charging positive electrode through the third charging switch, and the other path of the second variable bus is connected with the charging negative electrode through the fourth charging switch. According to the active equalization circuit of the lithium ion battery pack, fewer switch devices are used, and a large number of switch matrixes controlled by software do not need to be arranged. And an independent isolation power supply does not need to be used for each battery cell, so that the requirements on software information processing capacity and hardware are reduced.

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 invention provides a lithium ion battery pack capacity estimation method and device and electronic equipment, and the method comprises the steps: carrying out the online identification of an open-circuit voltage curve of each single battery in a battery pack in the operation process of the battery pack, extracting an open-circuit voltage feature reflecting the aging state of the battery based on the open-circuit voltage curve and a state-of-charge consistency parameter, and calculating the capacity of the battery pack according to the extracted open-circuit voltage feature. Calculating state-of-charge consistency parameters among the monomers in the battery pack; an electrode open-circuit voltage model is constructed, the electrode open-circuit voltage model represents the nonlinear relation between the battery open-circuit voltage and the state of charge based on the positive electrode potential function and the negative electrode potential function, and potential parameters are updated according to the open-circuit voltage characteristics; performing iterative optimization on model parameters of the electrode open-circuit voltage model based on the currently acquired training data, and calculating a capacity estimation value corresponding to the single battery according to the optimized model parameters; and calculating the available capacity of the whole battery pack according to the capacity estimation value and the charge state consistency parameter of each single battery.

The invention belongs to the technical field of power electronics, and mainly relates to a control method for solving the problem of uneven serial electric quantity of lithium ion battery packs, lithium ion management systems in the lithium ion battery packs are provided with independent electric quantity control function modules, and each lithium ion battery pack internally comprises a function module. The functional modules are connected with the lithium ion battery management system; when the lithium ion battery management system detects that any lithium ion battery pack in the series loop triggers charging overvoltage protection, a switching signal is output to a functional module electrically connected with the lithium ion battery pack; the functional module performs charging control on the lithium ion battery packs after receiving the switching signal, so that the electric quantity difference between the lithium ion battery packs in the series loop is reduced, the electric quantity of each lithium ion battery pack in the series loop can reach 100%, and the consistency of the electric quantity of each lithium ion battery pack in the series loop is realized; according to the technical scheme, the electric quantity is kept consistent after the lithium ion battery packs are connected in series for use, the electric quantity consistency of the battery packs is remarkably improved, and maintenance-free operation is achieved.

According to one aspect of the disclosure, a lithium-ion battery component is presented. The lithium-ion battery component has an electrode with a current collector, and a silicon-based active layer adhered thereon. The silicon-based active layer includes coated silicon beads connected by carbon chains to form fiberized conductive silicon-carbon necklaces that are configured to confine the silicon beads via the carbon chains during volume expansion and contraction of the electrode during charge cycling.