3314 results about "Supercapacitor" patented technology

The invention relates to the technical field of power supply devices, in particular to an energy-saving optimization method for an electric energy storage device, and the method comprises the steps: fusing a lithium ion battery solid-liquid phase change kinetic equation, a flow battery fluid mechanics equation and a flywheel rotor rigid-flexible coupling equation through a neural differential equation; constructing a dynamic meta-knowledge base containing cross-time scale nonlinear interaction features; performing dynamic parameter compensation on the polarization voltage hysteresis effect and the electrolyte flow resistance coupling effect by using a physical information neural network to generate a decoupled residual feature vector; according to the method, multi-physics field coupling modeling is achieved through the dynamic meta-knowledge base, and the energy efficiency optimization effect of the energy storage device is improved by combining the physical information neural network and the quantum optimization algorithm.

A method of manufacturing a carbon nanostructure, such as a carbon foam material, is disclosed. The method comprises the steps of: (a) using a first laser beam to irradiate an encapsulated or sub-surface region of a carbon pre-cursor material below a surface of the material, to create carbon foam in that sub-surface region, and a disorganised, amorphous non-graphene material above the carbon foam, and then (b) using a second laser beam to remove or ablate the disorganised, amorphous non-graphene material sitting above the carbon foam, to expose at least some of the carbon foam. The resultant carbon foam material shows a significant D peak; the 2D peak is significantly less than the G peak; and the peak D: peak G ratio is significantly above zero. In appearance and Raman signature, it appears similar to a carbon nano-onion material. It can be used in biosensors, supercapacitors and pseudo-capacitors.

The invention provides a graphene super-capacitor capacity energy-saving control method based on an intelligent algorithm, and the method comprises the steps: obtaining the harmonic content data of a power grid, carrying out the spectrum analysis of the harmonic content through a Fourier transform algorithm, and obtaining the change trend of the harmonic content; acquiring historical capacitor bank impedance characteristic data and a corresponding harmonic content change trend, and calculating impedance matching degrees of the graphene super capacitor under different load conditions; according to the impedance matching degree of the graphene super capacitor, generating a capacitor bank switching sequence by adopting a dynamic programming algorithm, and determining a target switching sequence of the graphene super capacitor; switching of the graphene super capacitor according to the target switching sequence is executed through an edge calculation unit, the access state of the graphene super capacitor is adjusted in real time, and harmonic wave changes of a power grid are dynamically matched; the method comprises the following steps: acquiring transient current data of a system, and decomposing the transient current data by adopting a wavelet transform algorithm to obtain a frequency component of transient current;

The invention relates to the technical field of ship power systems, and discloses a ship comprehensive power system based on composite energy storage, comprising an energy generation module which comprises a diesel generator, a gas turbine and a renewable energy sub-module and is used for generating electric energy; the energy storage management module comprises a lithium battery, a super capacitor and a flywheel energy storage system and is used for storing and releasing electric energy; the energy distribution and scheduling module is used for controlling energy distribution between the energy generation module and the energy storage management module; the load management module is used for adjusting the load power requirement according to the load priority; and the health management and fault monitoring module is used for monitoring the operation states of the energy storage management module and the system in real time. Through cooperative work of multiple energy storage units and combination with optimization control of the energy distribution and scheduling module, characteristics of different energy storage devices are fully exerted. Therefore, loss in the energy conversion process is remarkably reduced, distribution and utilization of electric energy are optimized, and the overall energy utilization efficiency of the system is improved by about 15%-20%.

An energy storage apparatus can comprise a battery enclosed within a housing and an ultracapacitor directly electrically coupled with the battery via one or more high voltage lines. The ultracapacitor can form a single integrated unit with the battery within the housing. The ultracapacitor can have a voltage capacity at least as large as the battery. The ultracapacitor can provide energy to the battery via the one or more high voltage lines to charge the battery. The ultracapacitor can have a greater power density and a smaller energy density than the battery. The ultracapacitor can removably electrically couple with a 110V or 220V outlet to receive energy originating from a utility grid. The battery can receive energy from the ultracapacitor when a voltage of the battery is below a threshold and can resist receiving energy from the ultracapacitor when the voltage of the battery is above a threshold.

The invention provides a power grid frequency modulation power energy coordination control method and system based on a super capacitor, and relates to the technical field of power grid frequency modulation, and the method comprises the steps: carrying out the time-frequency analysis of a collected power grid frequency signal, obtaining a frequency disturbance characteristic value, and determining power control data through combining with an electrical parameter value of a super capacitor group; and performing nonlinear programming calculation based on the power control data to obtain a power distribution sequence, dividing the power distribution sequence into a quick response section, a dynamic transition section and a steady state maintenance section according to a preset threshold value, and solving a control value by adopting an augmented Lagrange equation, recursive least square operation and a Lyapunov function respectively. Obtaining a power control instruction; and inputting a power control instruction into the disturbance observer, calculating a dynamic error value, constructing a nonsingular terminal equation, and outputting a power regulation signal in combination with recursive minimum entropy calculation and a superhelix algorithm.

The invention provides an elevator energy recovery application method and system based on a super capacitor, and relates to the technical field of energy recovery, and the method comprises the steps: collecting elevator operation data and super capacitor state data, constructing a state space and an action space, and constructing a reward function according to peak-valley electricity price economic benefits, super capacitor life loss and energy utilization efficiency; training a deep reinforcement learning model based on the double-Q network to obtain an energy recovery optimization strategy; when the elevator is braked, regenerative braking energy is stored in the super capacitor; when the elevator is driven, the stored energy is released for traction; the optimal storage allocation scheme of the multiple elevator rooms is calculated through the virtual energy storage unit, hierarchical control is implemented based on an optimization strategy and the allocation scheme, the upper layer adopts fuzzy self-adaptive weight to determine the energy storage priority, and the lower layer adopts a distributed algorithm to calculate the energy allocation coefficient and the target power; and the charge-discharge rate is updated according to the health state of the supercapacitor.

The invention provides an intelligent management method and system for photovoltaic energy storage equipment, and the method comprises the steps: analyzing the power fluctuation trend through monitoring the output power and environment parameters of the photovoltaic energy storage equipment in real time, and pre-judging the power fluctuation characteristics; according to the operation state parameters of the supercapacitor and the vanadium redox flow battery and the power fluctuation pre-judgment result, the power distribution proportion and the cooperative working mode of the energy storage element are determined; based on industrial load demand characteristics, an energy storage element is controlled to be flexibly switched between an active adjustment mode and a reactive compensation mode; and voltage regulation and harmonic compensation are realized by monitoring electric energy quality indexes of parallel connection points. According to the invention, the rapid response capability of the photovoltaic energy storage system to the industrial load can be effectively improved, the power supply stability and the electric energy quality are remarkably improved, the system power fluctuation is reduced, the utilization efficiency of the energy storage equipment is improved, and reliable clean energy support is provided for industrial users.

Disclosed herein are systems and methods for energy management. A system, such as a vehicle, includes a plurality of energy storage units that include a supercapacitor and an electrochemical battery. The system includes an energy controller that tracks historical power draw from the plurality of energy storage units over time in power tracking data, and that identifies a power draw based on the power tracking data. The energy controller switches between a first configuration and a second configuration based on the identified power draw. The first configuration is configured for drawing power from the electrochemical battery and disconnecting from the supercapacitor, while wherein the second configuration is configured for drawing power from the supercapacitor and disconnecting from the electrochemical battery.

Disclosed herein are systems and methods for energy management. A system, such as a vehicle, includes a plurality of energy storage units that include a supercapacitor and an electrochemical battery. The system includes an energy controller that tracks historical power draw from the plurality of energy storage units over time in power tracking data, and that identifies a power draw based on the power tracking data. The energy controller switches between a first configuration and a second configuration based on the identified power draw. The first configuration is configured for drawing power from the electrochemical battery and disconnecting from the supercapacitor, while wherein the second configuration is configured for drawing power from the supercapacitor and disconnecting from the electrochemical battery.

The invention discloses a charging and discharging control method and device for an elevator energy storage system, a medium and a product, and relates to the field of data processing. The method comprises the steps that real-time operation data such as the position and the load capacity of an elevator car are obtained, and the instantaneous power generation power and the power change rate of a traction machine are determined accordingly; determining a power change predicted value in a future preset time period based on the parameters, and obtaining the total amount of power generation energy required to be stored by the energy storage system through zero setting of a positive value, integral operation and efficiency compensation; according to the power change rate, the state of the energy storage unit and the power grid electricity price time period, the charging and discharging priorities fed back by the super capacitor, the lithium battery and the power grid are determined; controlling the bidirectional DC / DC circuit to switch charging and discharging modes according to the priority, and adjusting the PWM duty ratio of the brake resistor; and based on the charging and discharging mode and the duty ratio, charging and discharging control over the elevator energy storage system is achieved. According to the method, the problem of inaccurate real-time matching of the dynamic load and the energy fluctuation of the current elevator energy storage system can be relieved.

The invention discloses a preparation method of a degradable transparent conductive polymer film, and belongs to the technical field of film preparation. Preparing dispersion liquid I through graphene oxide quantum dots; preparing a dispersion liquid II from polyaniline nanofibers; dissolving pyrrole and toluenesulfonic acid in N, N-dimethylformamide to prepare a reaction solution, adding the dispersion liquid I and the dispersion liquid II, stirring, and adding ferric chloride hexahydrate to obtain a reaction solution; adjusting the pH value of the reaction solution to 1.5, and heating to obtain a polypyrrole solution; preparing cellulose acetate, polyvinyl alcohol and N, N-dimethylformamide to obtain a cellulose acetate solution; mixing the polypyrrole solution and the cellulose acetate solution, adding glutaraldehyde to obtain a mixed solution, and pouring the mixed solution into a mold to prepare a composite wet film; and putting the composite wet film into a hot-pressing forming machine for hot-pressing to generate the polymer film. The conductive polymer film prepared by the invention can be applied to the fields of supercapacitor electrode materials, electromagnetic shielding materials, flexible sensors and the like, and provides a new high-performance material choice for the development of related fields.

The invention relates to a super capacitor control circuit and method for intelligently recognizing a vehicle starting mode, the control circuit comprises a main control module, a super capacitor bank, a charging control module, a discharging control module and an environment information sampling module, the power supply output end of the charging control module is connected with the power supply input end of the super capacitor bank; the power output end of the super capacitor bank is connected with the power input end of the discharging control module, the power output end of the discharging control module is connected with the power output end of the storage battery in parallel, and the signal output end of the environment information sampling module is connected with the third sampling signal input end of the main control module. Accurate charging and discharging management of the super capacitor is realized through dynamic signal control of the main control module and a synergistic effect of the plurality of sampling modules. By adjusting the magnitude of the output current of the super capacitor bank, the system effectively adapts to the requirements of different environments and working conditions, the adaptability of the system under extreme conditions such as low temperature or frequent start and stop is improved, and the system has relatively high intelligent adjustment capability.

The invention relates to the technical field of supercapacitors, and provides a cement-based supercapacitor, a preparation method and application. The cement-based supercapacitor comprises a cement-based electrolyte and two structural electrodes arranged on the two sides of the cement-based electrolyte. The cement-based electrolyte is prepared from cement, alkali, alkali metal salt, water and an additive, wherein the alkali metal salt comprises lithium salt; each structural electrode is composed of foamed nickel loaded with nitrogen-doped reduced graphene oxide. The lithium salt is added to construct an efficient ionic conductive network, so that the ionic conductivity of the cement-based electrolyte is enhanced, and the electrochemical performance is obviously improved. The reduced graphene oxide in the structural electrode is doped with nitrogen to enhance the electrostatic force between ions and the surface of the electrode, so that the electrochemical stability of the surface of the electrode is improved, and self-discharge is effectively inhibited. By improving an electrolyte and a structural electrode material, a cement-based supercapacitor with specific capacitance and mechanical properties is obtained and is combined with a building structure to realize building energy storage.

A supercapacitor including a gel electrolyte and two electrodes having a substrate, date stone activated carbon, a conductive carbon compound different from the date stone activated carbon, and a binding compound. A mixture of the date stone activated carbon, the conductive carbon compound, and the binding compound partially coats a surface of the substrate. The two electrodes are assembled in a symmetrical layered configuration with the surfaces coated with the mixture facing each other. The gel electrolyte is present between the surfaces coated with the mixture to form the supercapacitor. The gel electrolyte is a mixture of H2SO4, polyvinyl alcohol, and anthraquinone. Particles of the date stone activated carbon have a nanosheet morphology, and the nanosheets are stacked on top of each other to form a hierarchical structure.

The invention belongs to the technical field of photovoltaic energy storage, and discloses a livestock farm photovoltaic power generation and energy storage combined control system and method, and the method comprises the steps that a converter group converts direct current generated by a photovoltaic cell panel group into voltage and current suitable for a storage battery group and a supercapacitor group; the data analysis module monitors the running state of the system in real time through a data analysis algorithm; the super capacitor bank is responsible for providing instantaneous power support; the inverter converts the direct current into alternating current; the power grid connection mechanism merges electric energy generated by the photovoltaic power generation system into a power grid, charging or discharging management is performed on the storage battery pack according to actual needs, the control mechanism is combined to monitor the system operation state in real time, and the control strategy module sets an operation strategy according to the actual needs. The running state of the system is monitored in real time through the combined control mechanism, working parameters of all assemblies are adjusted, and stable running of the system and efficient utilization of solar energy resources are ensured; the system can intelligently control the charging and discharging process and the grid connection process.

The invention provides a methanol engine cold start system and a vehicle. The methanol engine cold start system comprises a fuel storage device, a methanol engine, a super capacitor bank, a resistance heating assembly and a control unit. The fuel storage device is connected with the methanol engine through a fuel pipeline and conveys methanol fuel to the methanol engine. And the super capacitor bank is connected with the resistance heating assembly and is used for discharging electricity to the resistance heating assembly under the control of the control unit. And the resistance heating assembly exchanges heat with the fuel storage device so as to heat the methanol fuel in the fuel storage device. According to the methanol engine cold starting system and the vehicle, the cold starting efficiency can be improved, and the cost is reduced.

The invention discloses a super capacitor energy scheduling method and system based on multi-time scale collaboration, and relates to the technical field of capacitor energy scheduling, and the method comprises the steps: calling a super capacitor energy scheduling log, and carrying out the division according to a time resolution hierarchy, and obtaining a plurality of time hierarchies; receiving a power grid dispatching instruction, performing power analysis on the load prediction data, and drawing a power reference curve of the super capacitor; dynamically correcting the power reference curve to generate a fluctuation stabilizing instruction; obtaining instantaneous charging and discharging control parameters of the super capacitor; and carrying out multi-time scale collaborative fusion, generating an energy scheduling instruction, carrying out scheduling verification, and determining an energy scheduling optimization instruction. According to the method, the technical problems of low scheduling efficiency and poor power grid stability caused by lack of multi-time scale collaborative analysis and difficulty in dynamically adapting to power grid fluctuation of super-capacitor energy scheduling in the prior art are solved, and the technical effects of improving the super-capacitor energy scheduling efficiency and the power grid operation stability are achieved.

A system for powering an electric vehicle includes at least one electrochemical battery, at least one supercapacitor battery, a first relay disposed on a first electrical path between the at least one electrochemical battery and the electric vehicle, the first relay to connect or disconnect the at least one electrochemical battery to or from the electric vehicle, and a second relay disposed on a second electrical path between the at least one supercapacitor battery and the electric vehicle, the second relay to connect or disconnect the at least one supercapacitor battery to or from the electric vehicle. The system also includes a processor communicatively coupled to first and second relays, wherein the processor, responsive to a first condition, disconnects the at least one electrochemical battery from the electric vehicle via the first relay and connects the at least one supercapacitor battery to the electric vehicle via the second relay.

A nanocomposite electrode and a supercapacitor device including said nanocomposite electrode. The nanocomposite electrode includes a mixture of at least one binding compound, at least one conductive additive, and at least one molybdenum doped carbon material coated onto a substrate. The supercapacitor device includes two nanocomposite electrodes disposed facing one another, wherein the substrate of each nanocomposite electrode is coated with the mixture on an inside facing surface and the outer surfaces of the nanocomposite electrodes are not coated with the mixture, and the inside facing surfaces are separated by at least one electrolyte.

The invention provides a novel direct-current energy collection and management chip and an operation method thereof. The chip comprises a low-voltage cold start loop, a novel MPPT algorithm energy collection circuit and an energy management circuit. The low-voltage cold start loop is used for exciting an internal voltage conversion circuit at a low voltage level, so that the circuit is transited to a normal working state; the novel MPPT algorithm energy collection circuit is used for collecting energy, collecting and converting environment energy into electric energy, and realizing maximum power tracking through the transient enhanced MPPT algorithm circuit; and the energy management circuit is used for judging the state of the CSTOR, inputting a judgment result into the control module to generate different enable signals UV and EN, and starting corresponding management modes Q1 and Q2. According to the invention, the charging management circuit is started to store excess energy in a secondary energy storage element super capacitor or a lithium ion battery, and the DC-DC step-down converter is started to output a stable voltage for a system load, so that high-efficiency management of photovoltaic, thermoelectric and other direct-current environment energy is realized.

The invention discloses a port shore power direct-current system topological structure with a super capacitor. The port shore power direct-current system topological structure comprises a port power grid, a wind power unit, a photovoltaic power generation unit, a direct-current bus, a super capacitor bank, a ship power storage unit and a shore bridge feedback load. The port power grid, the wind power unit, the photovoltaic power generation unit and the super capacitor bank are respectively connected to the direct current bus through a first bidirectional AC / DC converter, a unidirectional AC / DC converter, a non-isolated DC / DC converter and an isolated DC / DC converter; the DC bus is connected to the ship power storage unit and the shore bridge feedback load through the bidirectional DC / DC converter and the second bidirectional AC / DC converter. The invention further discloses a seaport integrated energy system optimal scheduling method considering the ship demand response under the multi-time scale. According to the method, firstly, an electricity-heat-hydrogen coupling system model is established, and then optimization scheduling is carried out through day-ahead and intra-day optimization scheduling models. The ship docking power utilization efficiency can be effectively improved, the loss is reduced, the on-site absorption of port new energy is promoted, and the stability and reliability of the system are improved.

The invention provides a power grid frequency modulation method and device based on MMC bridge arm capacitor multiplexing, and relates to the technical field of power grid frequency control. In order to solve the problem of functional conflict between participation of an MMC bridge arm capacitor in power grid frequency control and voltage stabilization and filtering, full-bridge multiplexing transformation is carried out on an MMC bridge arm sub-module, the MMC power throughput capacity is enhanced in a parallel super capacitor mode, regulation and control of the bridge arm capacitor on voltage fluctuation are enhanced, and meanwhile, the supporting capacity on the power grid frequency is improved; by simulating frequency characteristics of a synchronous machine, a principle and a method for the MMC to participate in power grid frequency support are analyzed, a power grid frequency modulation model for the MMC to participate in the MTDC system is constructed, and a power grid frequency modulation method for the MMC to participate in the MTDC system is optimized; the frequency deviation generated when the active power of the power grid and the load demand are unbalanced is used as frequency modulation model input, and a corresponding frequency modulation strategy is adopted based on the frequency modulation demand of the MTDC system. According to the invention, reasonable distribution of power required by frequency modulation can be realized, and the comprehensive stability characteristic of a novel power system is improved.

The invention discloses a cement-based structure supercapacitor and a wall energy storage system, and relates to the technical field of energy storage. Wherein the cement-based structure super capacitor comprises a capacitor positive electrode, a capacitor negative electrode and a cement-based solid electrolyte; the capacitor positive electrode and the capacitor negative electrode are made of carbon nanomaterials; the cement-based solid electrolyte comprises cement, a conductive additive and a transition metal oxide; the cement-based solid electrolyte is arranged between the capacitor positive electrode and the capacitor negative electrode. According to the technical scheme, the energy storage performance of the super capacitor with the cement-based structure can be improved.

The invention discloses a fuel cell hybrid electric heavy truck power source optimization design method and system, and the method comprises the steps: building a target function of the total cost per unit travelled distance in a life cycle based on the basic parameters of a fuel cell, a power cell and a super capacitor, and the degradation parameters and hydrogen consumption of the fuel cell and the power cell; an energy management strategy of the fuel cell hybrid electric heavy truck is established based on the average required power of the truck and the SOC of the power cell and the super capacitor; and a cancer cell competition and transfer algorithm is adopted, under an energy management strategy, a minimum objective function meeting the driving working condition is searched, and energy size optimization is completed. According to the method, the power source of the fuel cell hybrid electric heavy truck is subjected to global optimization design by adopting the cancer cell competition and transfer algorithm, the service life of the power source is prolonged while the power performance of the truck is guaranteed, the manufacturing cost, degradation cost and hydrogen consumption of a hybrid power system are remarkably reduced, and the energy efficiency of the system is improved.

An electrode including a substrate, a binding compound, and a composite. The composite includes jute-activated carbon and a nickel-cobalt-layered double hydroxide (NiCoLDH). Particles of the NiCoLDH are in the form of nanoflowers with an average size of 5-15 μm. The nanoflowers comprise nanosheets with an average thickness of 5-20 nm. The particles of the jute-activated carbon are in the form of interconnected nanosheets, which form a porous carbon framework. The porous carbon framework connects the nanoflowers, thereby forming an interconnected structure in the composite. A mixture of the composite and the binding compound is coated on the surface of the substrate. The electrode can be included in supercapacitors and power banks.

The invention discloses a method for preparing a supercapacitor electrode through high-temperature alkali activation. The method comprises the steps of preparing porous carbon, preparing an electrode plate, preparing a supercapacitor, and carrying out electrochemical performance testing and material characterization testing. When the carbon precursor of the supercapacitor electrode material is prepared, organic components in walnut shells can be refined and removed and biochar is left by utilizing the effect of removing organic matters in biomass at high temperature of a tubular furnace; the potassium hydroxide with different concentrations is used as the activating agent to activate the biochar, the porosity and the internal structure richness of the porous carbon can be greatly improved, and compared with traditional solid alkali activation, the aqueous solution alkali activation has the advantages that the reliability and the possibility are improved, and the contact area of the activating agent and substances is increased. The electrode material prepared by the method has the advantages of low manufacturing cost, small environmental pollution and excellent service life, and is an ideal electrode material.

The invention relates to an active power distribution network energy storage optimization configuration method based on a DeepAR model and reinforcement learning. According to the method, historical load and power generation data are collected, future load is predicted by using a DeepAR model after preprocessing, a cost model is established by combining established charging and discharging characteristic models of a lithium battery and a super capacitor and considering energy power purchase cost and energy storage loss, and various constraint conditions are determined. And then an optimal energy storage charging and discharging strategy is determined through iterative training by using a state representation network, an action value network and a target network in the deep Q network, so that energy scheduling is optimized in a long time, and the cost is minimized. According to the method, load prediction, energy storage characteristics, power cost and constraint conditions are fully considered, the global optimization strategy is determined by applying the deep reinforcement learning algorithm, and the economic benefit of the power distribution network energy storage system can be improved.

The invention relates to the technical field of safety monitoring, in particular to a multi-dimensional safety monitoring method and an early warning system of an integrated energy storage system. The method comprises the following steps: acquiring structural data of the energy storage system; performing energy storage unit analysis on the structure data of the energy storage system to generate energy storage unit data of the energy storage system; performing unit operation data monitoring on the energy storage unit data to obtain an energy storage unit operation data set; data monitoring network integration is carried out through the energy storage unit data and the energy storage unit operation data set of the energy storage system, an integrated energy storage system monitoring network is generated, and the integrated energy storage system monitoring network comprises a battery operation node, a flywheel operation node and a super capacitor operation node; according to the invention, multi-dimensional monitoring, real-time data analysis and artificial intelligence technologies are introduced, so that the comprehensiveness, real-time performance and fault prediction capability of safety monitoring of an existing integrated energy storage system are improved.

The invention provides a coordination control method and device of a photovoltaic energy storage inverter for automobile charging based on artificial intelligence, and belongs to the technical field of automobile photovoltaic energy storage coordination control, and the method comprises the steps: monitoring the output power of a photovoltaic array, the state of charge (SOC) of an energy storage system, the state of a power grid and the power demand of a load in real time; a reinforcement learning algorithm is introduced, weather forecast and historical load data are combined, photovoltaic output and load demands in a future time period are predicted, and a power distribution instruction is generated; deciding a current operation mode and generating a mode switching instruction; seamless switching between grid connection and grid disconnection is controlled, and after switching is completed, the charging and discharging proportion of the lithium battery and the super capacitor is coordinated; integrating the energy storage real-time state and the power distribution instruction, and optimizing and adjusting the control parameters of the inverter in real time; continuously monitoring a running state and a switching process, and starting a standby mode when a fault is detected; and the data is uploaded to a monitoring platform. The system operation is efficiently optimized, the service life is prolonged, and stability is guaranteed.