9063 results about "Energy storage" patented technology

The invention discloses a predictive maintenance method for an optical storage and charging integrated power station based on deep learning, and the method comprises the steps: constructing an efficient equipment state evaluation and prediction model based on multi-source data fusion, an intelligent prediction algorithm and a closed-loop optimization feedback mechanism, collecting multi-source data, and carrying out the fusion processing, an improved Attention-LSTM model is utilized to evaluate and predict the state of equipment, a transfer learning method is adopted to improve generalization ability, Bayesian optimization and an adaptive sliding window technology are combined at the same time, dynamic threshold adjustment is performed, a deep reinforcement learning algorithm based on a Markov decision process is adopted to optimize a maintenance strategy, and the maintenance efficiency is improved. Weibull distribution is introduced for failure probability modeling, the maintenance cost and the fault risk are balanced, continuous optimization and dynamic adaptive adjustment of a predictive maintenance scheme are realized through a closed-loop feedback mechanism, the prediction accuracy and the intelligent level of maintenance decision are remarkably improved, planned maintenance and sudden fault maintenance are reduced, and the maintenance efficiency is improved. And the reliability of the charging station is improved.

The invention provides an electric vehicle energy storage battery fault diagnosis and predictive maintenance control method and system, and relates to the technical field of fault diagnosis, and the method comprises the steps: collecting the real-time working condition data and environment parameters of an electric vehicle energy storage battery, and carrying out the data preprocessing through a cloud server; carrying out life prediction by utilizing a multi-task deep learning framework, and generating a comprehensive state evaluation report; constructing a multi-target maintenance decision optimization model based on the evaluation report, and predicting an optimal maintenance time window; historical maintenance data and fault diagnosis experience are fused, and a maintenance operation list is generated; and performing resource scheduling optimization through a mixed integer programming algorithm to form an optimal battery maintenance scheme.

The invention discloses a wind-light-hydrogen multi-energy complementary system cooperative operation optimization and comprehensive benefit evaluation method, which relates to the technical field of electric energy storage, and comprises the following steps: constructing a hybrid power flow model containing electricity, hydrogen and heat coupling, taking whole life cycle cost and new energy consumption as double targets, introducing grid-connected and off-grid risk constraints, and optimizing equipment capacity configuration; a scheduling baseline and an intra-day dynamic correction strategy are formulated in the day-ahead stage, and hybrid energy storage cooperative control is combined to improve the response speed and flexibility of the system to wind and light fluctuation; a peak regulation and frequency modulation mode is switched according to the power grid state, a power response model is established, fluctuation is stabilized through hydrogen energy storage, the stability of the power grid is enhanced, and auxiliary service benefits are created; the performance of the system is evaluated from the three dimensions of efficiency, economy and interactivity, dynamic weight and Monte Carlo simulation optimization are utilized, system parameters are continuously optimized through a feedback mechanism, and the self-evolution ability is formed. The problem that system instability and economy are difficult to take into account due to wind and light fluctuation is solved.

The present invention concerns a novel magnetic stimulation device and method with optimized energy usage and improved performance comprising: a magnetic field generating device, a first energy storage device and a second energy storage device connected in series to form an electrical oscillating resonant circuit; an energy source coupled to the first energy storage device; and a switch to allow charging of the first energy storage device from the energy source and initiating electrical oscillation of the resonant circuit, wherein after the initiation of the electrical oscillation the two energy storage devices repetitively exchange electric charge through the magnetic field generating device due to the electrical oscillation of the resonant circuit and a time varying magnetic field is generated. The time varying magnetic field induces electric currents in biological tissues that stimulate them.

The invention provides an electricity price-based permanent magnet motor energy storage and optimization operation method and system, and relates to the technical field of motor energy storage and optimization operation, and the method comprises the steps: predicting the power of a motor through a deep belief neural network, predicting the electricity price through a space-time diagram convolutional neural network, and quantifying a system error in combination with a Gaussian mixture model, based on a prediction result, performing global optimization by adopting a quantum genetic optimization algorithm to obtain an initial optimization strategy set, applying the initial optimization strategy set to a meta-heuristic hybrid optimization model, generating a time sequence association control strategy, performing system modeling through a hybrid Gaussian-hidden Markov model, and constructing a double-layer action evaluation control network to generate an operation control instruction; a distributed reinforcement learning framework is used for cooperative control, and an optimal control strategy is obtained based on adaptive dynamic programming and a meta-learning strategy migration mechanism.

An electrified fire fighting vehicle includes a chassis, a front axle coupled to the chassis, a rear axle coupled to the chassis, a water pump, an energy storage system, an engine, an electric motor coupled to the engine and the energy storage system, and a power divider positioned between the electric motor, the water pump, and the rear axle. The power divider facilitates selectively driving the water pump and the rear axle with the engine and the electric motor.

The invention relates to the field of energy storage, and provides a 1.5 V lithium ion battery thermal management method based on temperature strain analysis, which comprises the following steps: monitoring the surface temperature of a battery in real time, collecting temperature strain data, extracting a key sequence value to analyze a strain trend, carrying out risk assessment to obtain a corresponding risk level and a risk index, and carrying out thermal management on a 1.5 V lithium ion battery based on the risk index. The method comprises the following steps: evaluating a battery state and performing thermal load evaluation, querying a corresponding thermal influence factor, marking a key influence area, determining a thermal management path, calculating path transfer quantity and thermal transfer efficiency, optimizing operation parameters to improve a thermal drop ratio, extracting multi-thermal energy characteristics, querying a hot spot distribution state, and analyzing hot spot labels. A thermal management scheme for the battery is generated. The thermal management level of the 1.5 V lithium ion battery can be improved.

A system including an air conditioning system; an energy storage device; a power converter; and a controller configured to control the power converter to supply power from at least one of an AC power grid and the energy storage device to one or more components of the air conditioning system.

A method of on-demand energy delivery to an active suspension system comprising an actuator body, hydraulic pump, electric motor, plurality of sensors, energy storage facility, and controller is provided. The method comprises disposing an active suspension system in a vehicle between a wheel mount and a vehicle body, detecting a wheel event requiring control of the active suspension; and sourcing energy from the energy storage facility and delivering it to the electric motor in response to the wheel event.

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 dynamic adjustment method and system for steam extraction energy storage and heat release in a thermodynamic system, and relates to the technical field of energy consumption adjustment, and the method comprises the steps: obtaining multi-dimensional operation parameters of the thermodynamic system and heat consumption demand data of a user side, predicting a steam load state in a specific time period in the future, and dynamically dividing a load time period according to the predicted steam load state; on the basis of the divided load time periods, steam extraction energy storage and heat release operation is carried out in the corresponding load time periods according to the optimal operation strategies of all the time periods; and continuously optimizing the load prediction model according to the deviation data, based on the optimized load prediction model, integrating the real-time operation state of the thermodynamic system, the actual heat consumption condition of the user side and the energy market price information, constructing a multi-target optimization model, and adaptively adjusting the operation parameters of steam extraction energy storage and heat release by using the multi-target optimization model. And dynamic adjustment of steam extraction energy storage and heat release in the thermodynamic system is realized.

An energy management system can comprise a housing configured to receive energy storage assemblies within an interior region of the housing via one or more openings on a surface of the housing. One or more guide tracks positioned within the interior region can mechanically and electrically couple to the energy storage assemblies. One or more switches can electrically couple the energy storage assemblies in series to increase a voltage provided from energy storage assemblies to an electrical load and can electrically couple the energy storage assemblies in parallel to facilitate charging the energy storage assemblies from an energy source.

A system and method generate a trip plan for a trip of a vehicle system along a route. The usage of an engine during the trip is determined based on engine operational parameters, energy storage device operational parameters, and one or more objectives of the trip desired to be achieved. The usage of the energy storage device during the trip is also determined based on the engine operational parameters, the energy storage device operational parameters, and the one or more objective, including when to charge or discharge the energy storage device during the trip.

The invention discloses an acoustic emission intelligent detection method and system for hydrogen-induced damage of a high-pressure hydrogen system, and the method comprises the steps: collecting a system operation signal through an acoustic emission sensor, carrying out the combined preprocessing of variational mode decomposition and adaptive wavelet threshold noise reduction, restraining noise, constructing a lightweight MobileNet-TCN network, carrying out the deep feature extraction, and carrying out the detection of the hydrogen-induced damage of the high-pressure hydrogen system. GRU and a three-dimensional point cloud technology are fused to realize submillimeter-level positioning of an acoustic emission source, a big data damage case library is associated based on an acoustic emission parameter accumulation model, dynamic assessment and early warning of damage risks are realized, multi-physics field monitoring data are combined, damage classification is optimized through a GCNs (Graph Convolutional Networks), and the above processes are systematically integrated. And full-chain intelligent processing from signal acquisition to risk early warning is completed. The scheme has the advantages of strong anti-interference capability, submillimeter positioning precision, high edge end reasoning efficiency, high damage classification accuracy and dynamic early warning capability, and is suitable for safety monitoring of hydrogen energy storage and transportation equipment.

The invention provides a watershed cascade water, wind, light and storage integrated scheduling operation simulation method considering long-short term nesting correction, and the method comprises the steps: constructing a watershed cascade water, wind, light and storage integrated medium-long term optimization scheduling model, and solving the model, thereby obtaining a water, wind, light and medium-long term scale electric quantity complementation scheduling scheme; and constructing a long-short-term nested correction model, and performing refined correction on each power supply output process of the watershed cascade water, wind, light and storage integrated multi-energy complementary base to obtain a water, wind, light and short-term scale electric power complementary scheduling scheme. On the basis of medium and long term optimization scheduling, a long-short term nested correction model is further constructed, and the random volatility of short-term wind and light output and the adjusting capacity of a short-term hydropower station and a pumped storage power station are fully considered. Effective undertaking of long-term absorption and short-term grid connection of the water, wind, light and storage integrated multi-energy complementary base under high-proportion new energy permeation is achieved, and the refined requirement of a multi-energy complementary dispatching system for evaluating indexes such as the new energy absorption rate is met.

The disclosure is directed to an apparatus or a system for generating energy in response to a vehicle wheel rotation. The apparatus or the system may include a roller configured to be positioned in substantial physical contact within a groove of a wheel of the vehicle. The roller may be configured to rotate in response to a rotation of the wheel. A flexible arm may be rotatably couplable to the roller such that rotation of the roller causes the flexible arm to rotate. The flexible arm may exert a downward force on the roller to increase the friction between the roller and the groove of the wheel. A first generator may be operably coupled to the flexible arm and configured to generate an electrical output based on the rotation of the flexible arm shaft and convey the electrical output to an energy storage device or vehicle motor.

The present disclosure provides a dispatch method of an energy management system for energy storage and a photovoltaic system for industrial and commercial use. The dispatch method includes: determining whether a third-party control system issues dispatch instructions, and initiating a third-party dispatching mode in response to determining that the third-party control system issues dispatch instructions; determining whether the cloud terminal issues dispatch curves, and initiating an active dispatching mode in response to determining that the cloud terminal issues dispatch curves; and initiating a passive dispatching mode in response to determining that the third-party control system does not issue any dispatch instruction and the cloud terminal does not issue any dispatch curve.

The invention discloses a supercritical carbon dioxide energy storage system and method based on porous liquid absorption and storage, and belongs to the technical field of energy storage industry. Comprising a low-pressure storage system for storing low-pressure carbon dioxide; the compression energy storage system is used for compressing the carbon dioxide energy storage working medium; the high-pressure storage system is used for obtaining and storing high-pressure supercritical carbon dioxide; the expansion energy release system is used for high-pressure supercritical expansion energy release and pushing a power generator to generate power; and the heat circulation system exchanges heat with and circulates heat with the compression energy storage system and the expansion energy release system. A porous liquid absorbent is adopted. Permanent gaps for containing carbon dioxide can be provided, the problem of a carbon dioxide low-pressure storage end can be solved, and the system investment cost is greatly reduced. High-density storage of the low-voltage end of carbon dioxide is achieved through a chemical absorption method, the supercritical carbon dioxide compression energy storage system stores excess electric quantity generated by the renewable energy system, expansion power generation is carried out in the power utilization peak, and the peak regulation capacity of a power grid is improved.

The invention discloses a rock burst global monitoring and dynamic and static far and near field cooperative early warning method and system, and the early warning method comprises the steps: determining a stope space key monitoring region and a stress wave type based on a dynamic load stress wave far field generation and propagation mechanism, delineating a working face surrounding rock high-stress region, and analyzing the structural characteristics of a rock stratum. Arranging a micro-seismic sensor in a far-field key area, and obtaining parameters such as seismic source fracture size, energy and magnitude through waveform inversion; an acoustoelectric system is arranged in a near-field high-stress area, coal rock fracture characteristics are dynamically monitored, and the static load energy storage state of surrounding rock is quantitatively analyzed. And in combination with a stress wave propagation attenuation coefficient, a far and near field fusion early warning criterion under the action of dynamic and static energy superposition is established, and advanced accurate early warning of the rock burst is realized through collaborative analysis of multi-source monitoring data. The disaster-pregnant space global monitoring technology fusing earthquake, sound and electricity is provided, the chain evolution disaster-causing process of dynamic load generation, cross-space propagation and working face surrounding rock damage is considered, and the accuracy of rock burst early warning can be remarkably improved.

The application discloses an inverter and a photovoltaic and energy storage system. The inverter includes a first cabinet configured for being fixed on a mounting surface and a second cabinet configured for being fixed on the mounting surface, where the first cabinet is provided with a first connection terminal, the second cabinet is provided with a second connection terminal, the first connection terminal and the second connection terminal are configured for plugging along a direction that the first cabinet moves to the mounting surface, and the first connection terminal and the second connection terminal are plugged with each other when the first cabinet is located on the mounting surface. The inverter described above simplifies assembly of the first cabinet and the second cabinet, thereby simplifying mounting of the inverter.

The invention relates to a data-driven lithium ion battery voltage prediction modeling method fusing physical information, and belongs to the technical field of batteries. According to the method, a multi-working-condition battery operation database is constructed, a terminal voltage prediction model fusing a physical model and a neural network is designed, a mathematical constraint relation is established for equivalent circuit parameters and neural network intermediate variables, and data driving characteristics and physical parameters are jointly optimized by using a gradient descent method. The method specifically comprises the steps of collecting battery current, voltage and temperature data; constructing an input feature and an output tag; outputting an intermediate variable through a parameter layer and associating an equivalent circuit parameter; and introducing physical loss function constraint model training to ensure the physical rationality of parameters. The method has high precision of data driving and interpretability of a physical model, improves multi-working-condition adaptability through temperature compensation and parameter constraint, and can be widely applied to battery state estimation and health management of electric automobiles and energy storage systems.

The embodiment of the invention relates to the field of data processing, in particular to a multi-market transaction prediction method and system for a virtual power plant. The method comprises the steps of obtaining first predicted output data based on historical electricity prices, user load data and time-of-use electricity prices before a transaction, obtaining a first preset total energy demand through correction of a load fuzzy response model, and generating a day-ahead market bidding strategy and a first bidding electricity price; and on the same day of the transaction, acquiring second predicted output data based on the real-time data, receiving the first bidding result, correcting the first bidding result to obtain a second preset total energy demand, and generating a real-time market bidding strategy and a second bidding electricity price. And after the second bidding result is received, dynamically adjusting the real-time preset total energy demand, optimizing the power scheduling and charging and discharging strategy of the energy storage system, and balancing the energy reserve after the transaction. According to the method, the bounded rationality problem of the controllable load in the demand response process is solved, the user demand response result and the DER are effectively combined, and a solution is provided for the VPP to participate in the bidding plan of multiple types of power markets.

A charging system comprises a local energy storage disposed at a charging site; an electric coupling configured to provide an electrical interconnect between the charging site and an electric vehicle (EV); and one or more controllers configured to: (i) detect a condition related to availability of electrical energy at the charging station, (ii) in response to the detecting of the condition: (a) estimate a number of EVs to which a charge remaining at the local energy storage is to be distributed within a certain time interval, (b) initiate a charging session for transferring electric energy from the local energy storage to the EV, via the electric coupling, and (c) limit an amount of electrical energy in the charging session in view of at least the estimated number of EVs.

A vehicle includes a chassis including a first frame rail and a second frame rail, a tractive element coupled to the chassis, a drive motor configured to drive the tractive element to propel the vehicle, and an energy storage system. The energy storage system includes a first battery module and a second battery module. The energy storage system is selectively reconfigurable between (a) a first configuration in which the first battery module and the second battery module each provide electrical energy to the drive motor and (b) a second configuration in which the first battery module is removed from the vehicle and the second battery module provides electrical energy to the drive motor.

An energy storage apparatus includes an energy storage device, a holder that holds the energy storage device, and an outer case that accommodates the energy storage device and the holder. The outer case includes an outer case main body having an opening portion and a lid body that closes the opening portion. The lid body includes a projecting portion that projects toward the holder and is brought into contact with or presses the holder in a projecting direction of the projecting portion.

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.

Method for determining the internal resistance of a battery cell of an energy storage device for an electrically powered motor vehicle, wherein the method comprises: charging the battery cell with a charging current; repeatedly temporarily reducing the charging current to a measuring charging current; measuring a cell voltage dependent on the charging current; and determining the internal resistance based on the cell voltage and the charging current.

The invention provides a source network collaborative planning method and system considering typhoon and wind power capacity credibility, and the method comprises the steps: carrying out the simulation of a typhoon wind field, calculating the theoretical fault rate of a line through employing a line vulnerability curve calculation method under a typhoon disaster, and obtaining the state of each power transmission line of the system; calculating the output power of the wind power plant unit by using the basic information of the power grid, and predicting the output sequence of the wind power plant unit in the typhoon wind field based on the simulated typhoon wind field; obtaining the fault probability of the power transmission line at each moment, generating a typical fault scene, and calculating the wind power credible capacity according to the state of each power transmission line of the system; and constructing a source-network collaborative planning model based on the output sequence of the wind power plant unit and the wind power credible capacity. According to the method, the problems of wind power plant unit output, wind power spinning reserve and line reinforcement planning in typhoon-free weather are solved, and the purposes of considering the load importance level and energy storage access and coordinating resources in the aspects of source-network-load-storage and the like during planning are achieved.

A combined floor assembly and energy storage device for an electrically driven passenger car includes a floor assembly on the lower face of which an energy storage device of an electric drive of the passenger car is arranged. A holding element, by which a rear end region of the energy storage device is held on the lower face of the floor assembly, and a rear cross-member, which is arranged on the lower face of the floor assembly and behind the energy storage device in the vehicle longitudinal direction are provided. In order to provide a combined floor assembly and energy storage device which offers especially rigid support for the rear cross-member even in a vehicle with a purely electric drive and in which, additionally, the energy storage device is fixed to the rear end on the lower face of the floor assembly in a particularly stable manner, the energy storage device is secured to the rear cross-member by way of the holding element.

The present invention refers to a redox battery, to a method of storing electricity comprising the redox battery, to a method of delivering electricity comprising the redox battery, an energy storage and / or delivery system, and to the use of the redox battery or the energy system to store or deliver electricity.