10results about How to "Increase usable capacity" patented technology

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 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.

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 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.