22results about How to "Increase usable capacity" patented technology

The invention discloses an intelligent string type container energy storage system. The system is composed of a battery system, a battery management system, a heat management system, a fire extinguishing system, a PCS system and an energy storage controller which are integrally mounted and fixed in a container body. According to the energy storage system, one-cluster-one-management is achieved through an energy storage system string-type framework, the battery clusters are connected with the PCS in series and then connected with the PCS in parallel, the series-parallel mismatching problem of the system is solved, all battery packs achieve 100% discharging, one-pack-one-optimization of the system is achieved, the battery packs are balanced and consistent, maximum charging and discharging of the single battery packs are achieved, one battery pack optimizer is integrated in each battery pack, and the energy storage efficiency is improved. The optimizers are connected in parallel with the battery cells, and the optimizers in the battery cluster are directly connected in series, so that the service life of the battery cells in the life cycle is prolonged by 10%, and the available capacity is improved; the energy storage system is high in reliability, convenient to maintain and higher in system safety, each battery cluster independently controls charging and discharging, the situation that the discharge capacity is affected by bias current is avoided, meanwhile, single-cluster fault isolation is achieved, fault diffusion and system whole disabling are avoided, and the safety performance is further improved.

The invention relates to the technical field of battery equalization charging, and particularly discloses a control method, circuit and equipment for equalization charging based on charge transfer, and the equalization control circuit analyzes the collected voltage change data of a battery pack, and carries out active equalization control on a power control circuit and a charge transfer control circuit. Therefore, the power control circuit and the charge transfer control circuit perform active equalizing charging on the batteries in the battery pack according to the voltage change data of the batteries in the battery pack, so that the batteries in the battery pack maintain relatively consistent dynamic voltage and dynamic SOC in the use process. Therefore, the available capacity of the battery pack is improved, the service life of the battery pack is prolonged, the cask effect caused by series mismatch of the batteries is reduced, the thermal runaway caused by circulating current generated by parallel mismatch is reduced, the overall available capacity and the overall performance are further improved, and the service life is prolonged. And the use safety and reliability of the battery pack can be improved.

The invention provides an active equalization control method and device for an energy storage battery pack, and relates to the technical field of electric power grids. By monitoring the charge and discharge state of the battery pack and the real-time voltage of each battery, calculating the average voltage and the mean value difference, and combining with the preset mean value difference threshold value, active equalization control is performed on the battery pack, so that the voltage difference between the batteries is smaller than the mean value difference threshold value when charging or discharging is completed; the influence on the whole battery pack due to early end of charging and discharging of a certain battery is avoided, the charging and discharging interval of the battery pack is expanded, and the available capacity of the battery pack is increased.

This invention discloses a large-area photo-chargeable aqueous zinc-ion battery, its preparation method, and its application. The method includes the following steps: Two pieces of glass with a transparent conductive layer coated on one side are taken. A positive electrode material is placed on the coated layer of one of the glass pieces. A glass fiber separator and a negative electrode material are sequentially covered on top of the positive electrode material. The other glass piece is then placed on top of the negative electrode material with its coated layer facing down. The positions of the two glass pieces are adjusted so that they are stacked alternately. Pressure is applied to the resulting stacked structure, and three sides are sealed with hot melt adhesive. After the hot melt adhesive has cured, electrolyte is injected into the unsealed side, and then this side is sealed again. The negative electrode of a diode is connected to the glass on the positive electrode side of the battery, and the positive electrode of the diode is connected to the glass on the negative electrode side of the battery, thus obtaining a large-area photo-chargeable aqueous zinc-ion battery. The battery of this invention has the advantages of high light utilization, stable charging, and low loss.

The present invention provides a battery pack, comprising: a battery module; a battery pack box, comprising a plurality of crossbeams and a plurality of longitudinal beams, the crossbeams and the longitudinal beams defining a plurality of module accommodating spaces for accommodating battery modules, and an isolation plate being provided on one side of each module accommodating space; a liquid cooling assembly, which is provided on the other side of the isolation plate, and the liquid cooling assembly and the battery module are heat-conducted through the isolation plate. Both the crossbeams and the longitudinal beams have overlapping ribs, and a heat insulation plate is provided on the overlapping ribs, and the isolation plate is placed on the heat insulation plate, and a heat insulation plate is also provided below the crossbeams at both ends and between the lower cover. There is a first gap between the isolation plate corresponding to each module accommodating space and the inner side surface of the corresponding crossbeam, and there is a second gap between the isolation plate corresponding to each module accommodating space and the inner side surface of the corresponding longitudinal beam. By adopting the solution of the present invention, a battery pack with a heat-insulating box structure is provided, which reduces the impact of the environment on the battery and achieves a uniform temperature effect for the battery pack.

The invention discloses a container type energy storage system and a battery management system in the technical field of energy storage systems, the battery management system comprises a plurality of third-level BMSs, each third-level BMS is in communication connection with a plurality of second-level BMSs, each second-level BMS is in communication connection with a plurality of first-level BMSs, and each first-level BMS is in communication connection with a plurality of second-level BMSs. Each primary BMS is connected to a corresponding battery module in an energy storage system; one of the three-stage BMSs is set as a master three-stage BMS, the other three-stage BMSs are set as slave three-stage BMSs, and all the slave three-stage BMSs are in communication connection with the master three-stage BMS. The three-stage BMS is designed in a two-stack master-slave mode, the number of the battery clusters is increased, the circulation of the battery cells is reduced, and the available capacity of the energy storage container is improved.

The invention relates to the technical field of battery balance charging, and particularly discloses a control method, circuit and equipment for carrying out balance charging based on multi-winding magnetic coupling, the balance charging control circuit actively carries out active balance control on a balance circuit and a balance charging power conversion circuit by combining the detected electric quantity change condition of a battery pack; therefore, the balancing circuit and the balancing charging power conversion circuit perform balancing charging on the battery pack, so that each battery keeps relatively consistent dynamic voltage and dynamic SOC in the use process, the available capacity of the battery is improved, the service life of the battery is prolonged, the occurrence of a wooden barrel effect caused by series mismatch of the batteries is reduced, and the service life of the battery is prolonged. Or thermal runaway caused by circulation generated by parallel charging mismatch is reduced, the overall available capacity is further improved, the service life is prolonged, and the use safety and reliability of the battery are improved.

The invention relates to a data processing method and device, computer equipment and a readable storage medium. The method comprises the steps that after data is written into a target storage system, whether the number of existing stripes of at least two to-be-processed stripes in the target storage system is larger than a number threshold value or not is judged, each to-be-processed stripe is a first-class stripe where the data is written in the target storage system, and if yes, the to-be-processed stripe is written into the target storage system according to data writing information of each to-be-processed stripe; migrating the write-in data corresponding to each to-be-processed strip to a second type of strip in the target storage system; wherein the number of data columns of the first type of stripes is smaller than the number of data columns of the second type of stripes. By adopting the method, the available capacity of the storage system can be expanded.

The invention discloses a collaborative optimization control method and system for an energy storage converter and the energy storage converter, and relates to the field of energy storage optimization, and the method comprises the steps: receiving a total output power instruction of an electric energy management system through the energy storage converter; constructing an optimization problem based on the total output power instruction by taking the minimum battery charge state difference value of a battery module in the battery system as a target; and solving the optimization problem, determining the output current of each battery module in the battery system, and performing optimization control on the battery system according to the output current of each battery module. The problem of an unbalanced state in the battery system is improved, and the health level and the available capacity of the battery system are improved.

The invention discloses a lithium battery health state prediction method and device, and relates to the technical field of data processing, and the method comprises the steps: carrying out the preprocessing of a second preset number of health factor data, improving the data quality, and obtaining a preprocessed health factor data set, and processing the preprocessed health factor data set in sequence based on the two convolutional layers, the bidirectional long and short time memory network, the preset attention mechanism, the full connection layer and the preset encoder-decoder, thereby realizing accurate prediction of the health state of the target battery. The prediction of the health state of the target battery is realized by directly using the health factor data extracted from the historical operation data of the target battery, and the process of constructing the parameter model of the target battery is avoided, so that the prediction method of the health state of the lithium battery has relatively high adaptability and simple and convenient operability.

The embodiment of the invention provides a storage block processing method and device, electronic equipment and a storage medium. The method comprises the following steps: disassembling a first logic block containing a good block and a bad block in a flash memory chip to obtain a first good block; disassembling a second logic block in the flash memory chip to obtain a second good block, wherein the second logic block is a logic block which does not contain a bad block; binding the first good block and the second good block to obtain a third logic block, and configuring a logic block address of the third logic block; a mapping relation table between the logic block address and the address of the storage block in the third logic block is established, the mapping relation table is stored, and the mapping relation table is used for accessing the storage block in the third logic block. According to the invention, the available capacity of the flash memory chip is improved.

The embodiment of the invention discloses a starting method and device of a hybrid electric vehicle, electronic equipment and a storage medium. The starting method comprises the steps that battery pack information of the hybrid electric vehicle is obtained; acquiring a mapping relation between the battery pack of the hybrid electric vehicle and the temperature from the battery pack information; based on the mapping relation and the current residual electric quantity of the battery pack, the starting risk of the hybrid electric vehicle is judged; and if the hybrid electric vehicle has the starting risk, an engine of the hybrid electric vehicle is started, the battery pack is charged after starting, so that the hybrid electric vehicle is started in the low-temperature environment, and the risk that the engine of the hybrid electric vehicle cannot be started at the low temperature can be reduced through the scheme.

The present invention relates to a method for determining the available capacity of a battery of an active implantable medical device, in particular a cardiac stimulator, the active implantable medical device comprising a radio frequency (RF) communication unit for transmitting data during an RF communication period and wherein the battery of the active implantable medical device can be used to transmit data by RF via the RF communication unit, the method comprising: a) a step for measuring a value of a battery voltage VBi representing an instantaneous voltage drop dVBi of the battery of said device due to a current load on the battery, b) a step for comparing said voltage VBi of the battery with a predetermined threshold voltage VBS, and c) a step for transmitting an alarm message to another device when said measured voltage VBi of the battery crosses the predetermined threshold voltage VBS. The invention also relates to an active implantable medical device performing the method.

This invention discloses a method, system, and storage medium for capacity compensation of lithium-ion battery cells. The method includes: constant current charging of the lithium-ion battery cell under test to a charging cutoff voltage, then switching to constant voltage charging until the charging current drops to the cutoff current; constant current discharge of the fully charged cell to a first cutoff voltage using a first discharge current, recording the released capacity as the main discharge capacity; after the main discharge, allowing the cell to rest for a preset time; continuing constant current discharge of the rested cell to a second cutoff voltage using a second discharge current, recording the released capacity as the reference discharge capacity; and calculating the compensated capacity using a capacity compensation formula based on the main discharge capacity, the reference discharge capacity, and a pre-determined reference discharge capacity benchmark value. This invention can eliminate the influence of polarization differences caused by ambient temperature fluctuations on the capacity test results during capacity testing, improving the accuracy of capacity testing.

The invention belongs to the field of batteries, and particularly relates to a positive pole piece, a preparation method thereof and a dual-ion battery. The positive pole piece comprises a carbon fiber felt and a three-dimensional net-shaped conductive interlayer structure loaded on the surface of the carbon fiber felt; the three-dimensional net-shaped conductive interlayer structure comprises rigid polyion liquid and a flexible high-conductivity polymer; the rigid polyion liquid is (PEP-MIM) Cl; the flexible high-conductivity polymer is a mixture of poly (3, 4-ethylenedioxythiophene) and poly (4-styrenesulfonic acid) PEDOT (poly (3, 4-ethylenedioxythiophene)): PSS (poly (4-styrenesulfonic acid)). Based on a three-dimensional network conductive interlayer structure of (PEP-MIM) Cl polymerized PEDOT: PSS, large-volume structure anions (such as PF6 <->) in a DIBs electrolyte can be well inserted into / removed from a positive electrode, so that the available capacity of DIBs is improved, and the DIBs can be widely applied to production of commercial batteries.

The application discloses a load prediction-based energy storage battery health state management system, belongs to the technical field of energy storage battery management, and is characterized in that future load prediction and current state parameters of single bodies are deeply fused, an electrical-thermal-mechanical coupling model is used to recursively calculate at each time step, a group-level load curve is finely mapped to electrical, thermal and mechanical stress parameters of each single body at each time step in the future, a multi-dimensional stress time sequence is formed, the sequence is input into a pre-trained aging accumulation model at each time step, a current health state value is taken as a starting point to recursively generate an independent health state attenuation track of each single body, a traditional single health state prediction value is extended into a dynamic curve containing double information of initial difference and future differentiated stress history, and thus active balancing decisions based on a predictive safety boundary of single bodies are realized, charging and discharging strategies are regulated in advance before the health state is predicted to be lower than the boundary, and the service life of the whole group of batteries is prolonged.

This invention discloses a method, system, and storage medium for determining the equalization capacity of a lithium iron phosphate battery. The method includes the following steps: selecting a starting voltage value; determining that the current highest single-cell voltage value is greater than the starting voltage value; recording the charging trajectory, which is the charging trajectory from the current highest single-cell voltage value to the starting voltage value and then to the charging cutoff voltage; dividing the charging trajectory into multiple capacity zones, setting a corresponding equalization strategy and the charging capacity to be equalized for each capacity zone; recording the voltage value of each single cell at full charge; determining the capacity zone where the voltage value of each single cell belongs based on the divided charging trajectory intervals; and executing the corresponding equalization strategy and the charging capacity to be equalized. This invention can identify the difference in charge capacity between different single cells in a lithium iron phosphate battery system, reduce battery pack inconsistencies, minimize the differences between single cells within the battery system, and improve the usable capacity of the battery pack.

The invention belongs to the technical field of energy storage cluster primary frequency modulation control, and particularly discloses an energy storage cluster primary frequency modulation control method and system based on analog quantity control, and the method comprises the steps: collecting a power grid frequency signal in real time, and calculating a frequency deviation; identifying a frequency disturbance type, dynamically determining a frequency modulation coefficient, and calculating a primary frequency modulation power instruction based on the frequency deviation and the frequency modulation coefficient; performing power amplitude limiting and distribution optimization on the primary frequency modulation power instruction according to the charge state of each battery pack in the energy storage cluster; and the optimized power instruction is converted into a 4-20 mA current signal, the 4-20 mA current signal is broadcasted and sent to all the energy storage converters, each energy storage converter dynamically adjusts a power distribution coefficient according to the difference between the own charge state and the average charge state of the cluster, and primary frequency modulation control of the energy storage cluster is completed. According to the invention, the problems of insufficient response speed, asynchronous cluster operation, unbalanced SOC management, insufficient anti-interference capability and insufficient disturbance adaptive capability in the prior art are solved.

The embodiment of the invention provides an electric quantity balancing method, a chip, equipment and a storage medium, and the method comprises the steps: carrying out the electric quantity detection of a plurality of battery cells connected in series in a battery pack, and determining a first battery cell with the highest electric quantity and a second battery cell with the lowest electric quantity from the plurality of battery cells; under the condition that the number of the separated battery cells between the first battery cell and the second battery cell is greater than or equal to a preset number threshold value and the battery pack is in a charging state, determining a first target battery cell of which the electric quantity is lower than that of the first battery cell from other battery cells adjacent to the first battery cell; and controlling the first battery cell to transmit energy to the first target battery cell. According to the scheme, the equalization efficiency and the response speed can be improved, the equalization control logic is simplified, and the application requirements of a high-capacity and multi-cell battery pack are met.

The utility model discloses a kind of energy storage systems, belong to energy storage device technical field, to solve the power supply of energy storage system in prior art mainly comes from single power supply source such as energy storage battery, the structure of switching power supply source is more complex, while it is difficult to guarantee higher available capacity of energy storage battery.The first power taking circuit, the second power taking circuit, the third power taking circuit and electric energy conversion device are included;The output end of the electric energy conversion device is externally connected to the power supply target, and the input end of the electric energy conversion device is respectively connected to the output end of the first power taking circuit, the second power taking circuit and the third power taking circuit;The utility model can supply power for electric energy conversion device by off-grid renewable energy power generation system, energy storage unit and power grid, and preferentially use off-grid renewable energy power generation system and power grid to supply power for electric energy conversion device, simplify the switching structure of power supply source, and further improve the available capacity of energy storage unit.

The invention discloses an air-ground cooperative sensing global avoidance scheduling method and system based on machine learning. The method comprises the following steps: S1, generating a global dynamic sensing data set; s2, establishing an airspace dynamic conflict graph based on the global dynamic perception data set; s3, outputting a conflict graph embedding feature set; s4, outputting a cost index vector corresponding to each candidate avoidance strategy; s5, generating an optimal avoidance rule combination matched with the current airspace scene; s6, generating a scheduling route candidate set satisfying the rule constraint and the security interval constraint, and performing resource occupation conflict detection; s7, forming an operation scheduling instruction, and performing air-ground collaborative global scheduling closed-loop operation; and S8, according to the newest conflict graph embedded feature set output by the graph neural network embedded model, generating an emergency avoidance route, and completing generation and issuing of an emergency avoidance instruction within 200ms. The method can adapt to any complex airspace topology and dynamic scene change.

The application provides a power balance determination method and device for an energy storage system, which comprises the following steps: determining the initial allocation power of each energy storage unit in the energy storage system according to a power initial allocation rule determined based on the size relationship between the target total power and the corresponding maximum allowed total power of the energy storage system; wherein the initial allocation power of the energy storage unit is the maximum allowed power of the energy storage unit or the consistency expected power calculated by considering the operating state parameters of each energy storage unit; when the initial allocation power is the consistency expected power, classifying each energy storage unit in the energy storage system to divide into over-limit energy storage units and surplus energy storage units; and performing power reallocation according to the power excess of the over-limit energy storage units and the receivable capacity of the surplus energy storage units to determine the target working power of each energy storage unit. In this way, the application realizes power balance control by pre-classifying over-limit and surplus storage units and completing global reallocation at one time.