5213 results about "Energy storage" patented technology

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.

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.

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.

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 invention provides an underground heat supply system based on an air energy heat pump as a heat source and a remote monitoring method, and the system comprises a heat source dynamic tuning subsystem which carries out the dynamic parameter optimization processing of environment temperature and energy storage state data, and obtains an air energy heat pump operation instruction; first characteristic adjustment of air energy heat pump output is formed through an air energy heat pump operation instruction, and matching of the temperature of an energy storage water tank and an environment heat source is achieved. The underground hot air accurate adjusting subsystem obtains underground real-time temperature data, the underground real-time temperature data is subjected to spatial thermal field calculation processing to obtain air volume demand parameters, and dynamic balance between the air supply intensity and the underground thermal environment is formed; and the multi-stage cooperative control center subsystem performs three-stage logic verification processing on the signals of the air energy heat pump operation instruction and the fan frequency instruction to obtain an equipment regulation and control instruction set. The underground intelligent heat supply system of the air energy heat pump, which has the environment self-adaption capability, the dynamic balance capability of a thermal field and the remote monitoring characteristic, is constructed.

The invention discloses a semi-submersible wave energy-wind energy integrated power generation platform and a damping regulation and control method of a damping regulation and control system of the semi-submersible wave energy-wind energy integrated power generation platform. The platform comprises a semi-submersible wind driven generator platform, a wind driven generator set, a wave energy power generation device, an energy storage system, a sea area detection system and the damping regulation and control system. The wave energy power generation devices are divided into two groups on the inner side and the outer side of the platform, each wave energy power generation device comprises a platform inner side wave energy power generation device and a platform outer side wave energy power generation device, and each wave energy power generation device comprises a swing arm floater, a universal hinge, a connecting arm and a damping adjusting module. The semi-submersible wind power generation device and the wave power generation device are combined, and offshore renewable resources are comprehensively utilized; the six-buoy design is adopted, buoyancy is dispersed, stability and safety are improved, and meanwhile space is provided for a wave power generation device; the floaters are symmetrically arranged in a hexagonal shape and carry a damping regulation and control system, and the whole structure is more easily stabilized by adjusting the damping of the floaters in all directions.

The invention discloses a cooperative scheduling method for a zero-carbon park complementary energy storage system, and the method comprises the steps: enabling an electric energy quality index to be explicitly incorporated into an optimization target through multi-source resource dynamic modeling and scene prediction, and building a strong coupling relation between a physical constraint and a scheduling decision; the hierarchical execution mechanism gives consideration to global optimization and local quick response, realizes undisturbed switching under abnormal working conditions, forms a prediction-optimization-execution-feedback closed-loop control system, and can accurately describe physical connection and electrical characteristics of a park power grid by establishing a power distribution network equivalent model and acquiring topological parameters, thereby realizing the optimal control of the park power grid. And basic network data is provided for subsequent optimization. By determining the controllable resource set and completing topological mapping, the position and the regulation and control range of each device in the power grid can be determined, and mistaken sending or conflict of instructions can be avoided. An apparent power upper limit constraint and SOC dynamic model is established, overload operation of equipment can be avoided, the energy storage charging and discharging capacity can be accurately represented, and the performability of a scheduling scheme is ensured.

The invention relates to the field of new energy charging, in particular to a main circuit topology based on an integrated over-charging device for light storage and charging and a control method. The system is composed of the following parts: an ACDC module, a charging DCDC module, a photovoltaic DCDC module, a DCAC module and a battery, wherein the battery is used for storing redundant electric quantity and discharging the electric quantity to a charging pile for use; the invention provides a main circuit topology based on direct-current coupling, a very simple network architecture and an AI intelligent algorithm are fused to greatly expand the application scene of optical storage and charging in the overcharging field, meanwhile, a dynamic intelligent algorithm is combined, the dependence of an overcharging station on a power grid is reduced, and through an economic operation strategy, the system is more reliable and reliable. Efficient collaboration and accurate distribution of energy of all links of light, storage, charging and utilization are achieved, and the operation capacity and economical efficiency of a charging station are improved.

Systems and methods for battery system management and monitoring apparatus(es) and equipment using a sensor cluster are described. The systems and methods can be used to automatically repair or otherwise address actual and predicted failure modes of the apparatus(es), which include electrical systems, power systems, energy storage systems, and other systems.

The invention relates to the technical field of charging pile management, and discloses a new energy vehicle charging pile operation management system comprising a data acquisition module used for acquiring charging pile operation data and vehicle arrival data; the vehicle priority calculation module is used for calculating vehicle priorities based on the vehicle arrival data and a preset congestion coefficient and generating a vehicle queuing sequence; the scheduling pricing module is used for constructing a state matrix, matching a current operation state, extracting an energy storage control label and a pricing additional parameter, and generating an energy storage power control instruction and a service gear price; the execution control module is used for executing charging power issuing according to the service gear price, the preset station-level power demand and the energy storage power control instruction; and the parameter updating module is used for counting the triggering times of the operation state item and the queuing waiting duration of the corresponding period, and performing regularization adjustment on the pricing additional parameter. According to the invention, integrated management of intelligent scheduling and dynamic pricing based on a multi-dimensional operation state is realized.

A mobile security robot includes a human-sized mannequin mounted on a vehicle. A storage unit, mounted on the vehicle, stores security devices and high-powered energy storage devices for facilitating extended patrols without recharge. A video recording system, disposed in the mannequin, continuously records images of a patrol area. Multiple sensors mounted on and proximal to the mannequin generate sensor data based on environmental conditions of the patrol area. A computing system coupled to the sensors processes the sensor data using artificial intelligence models and generates action commands for execution of tasks by actuators including electric motors, robotic arms, and supplementary attachment devices. The electric motors run the vehicle at different speeds with wheel speed feedback based on the environmental conditions and navigate the vehicle along a predefined travel path with object avoidance during patrols. User interface devices facilitate auditory and visual communication with humans in the patrol area.

Provided is a method of operating a hybrid power plant, including energy generating units including a wind park and at least one unit of another type of renewable energy source and including an energy storage system, the method including: creating a power production schedule based on an actual forecast of power production, an actual forecast of energy price and actual hybrid power plant status, the power production schedule including at least scheduled power for points in time in the future; and controlling, during the points in time in the future the energy generating units and the energy storage system based on the power production schedule, the hybrid power plant status at the points in time in the future, in particular energy storage system status, such as to dispatch power according to the power production schedule, but complying with any grid operator reference at the points in time in the future.

The invention discloses an island energy system opportunity constraint weekly optimization scheduling method and system, and the method comprises the steps: converting the opportunity constraint of the actual output of wind and light into a deterministic inequality constraint based on the prediction error probability distribution characteristics of wind power and photovoltaic; according to the obtained wind and light output constraint, a dynamic operation model is established, and waste heat output of the hydrogen fuel cell is coupled with an absorption refrigerator; with the purpose of minimizing the total operation cost of the system, combining the obtained deterministic inequality constraint and the dynamic operation model, defining the power balance constraint of electricity / heat / cold / fresh water, the hydrogen storage tank capacity constraint and the equipment climbing rate constraint, and constructing an optimization model; and solving the optimization model by adopting mixed integer programming to obtain an optimization scheduling scheme. The requirements of electricity, cold, heat and fresh water of an ocean island energy system are met, and meanwhile energy storage and cross-period utilization during wind and light resource enrichment are achieved.

The invention relates to the technical field of automatic control of a power system, discloses a dynamic response optimization and self-adaptive compensation method for primary frequency modulation of a speed regulator of a hydropower station, and aims to solve the problem that the response speed and the operation economy are difficult to consider in a traditional combined frequency modulation strategy. Meanwhile, a dynamic task allocation threshold value is calculated according to the real-time cost of the hydroelectric generating set and the energy storage. Then, by comparing the size of the disturbance with the threshold value, the system autonomously decides: if the disturbance is small, the stored energy independently responds; and if the disturbance is large disturbance, a prospective optimal control strategy is started, a hydroelectric generating set and stored energy are cooperatively allocated, and a frequency modulation task is completed at the lowest comprehensive cost. According to the method, by introducing pre-judgment on disturbance and dynamic evaluation on cost, economical optimal distribution of frequency modulation tasks among different types of power supplies is realized, and the comprehensive frequency modulation performance and economic benefits of the system are remarkably improved.

A lithium ion battery health state estimation method based on time-frequency domain feature decoupling and a dynamic compensation mechanism comprises the following steps: collecting actual data of multiple times of charging and discharging of a lithium ion battery as an initial data set; performing feature mode decomposition on the initial data set, and obtaining frequency domain data through decoupling; the frequency domain data obtained through decoupling and the original time domain data are input into a training model, and the predicted lithium ion battery capacity is obtained; the real-time capacity and the maximum capacity of the lithium ion battery are fed back to the training model, a predicted value of the capacity is obtained after training is completed, and estimation of the health state of the lithium ion battery is achieved. According to the method, time domain signals and frequency domain features in battery operation are fused, and a decoupling feature extraction and time frequency compensation learning mechanism is combined, so that accurate modeling of battery capacity degradation and internal state evolution is realized, and the method can be applied to battery health monitoring and life prediction of electric vehicles, energy storage systems and consumer electronic equipment.

Provided herein are methods of treating a patient comprising providing a medical apparatus comprising an external system and an implantable system, implanting the implantable system, and delivering at least one of power or data to the implantable system with the external system. The external system comprises: at least one external antenna configured to transmit a first transmission signal to the implantable system; an external transmitter configured to drive the at least one external antenna; an external power supply; and an external controller. The implantable system comprises: at least one implantable antenna configured to receive the first transmission signal from the first external device; an implantable receiver; at least one implantable functional element configured to interface with the patient; an implantable controller; an implantable energy storage assembly; and an implantable housing surrounding at least the implantable controller and the implantable receiver. Medical apparatus are also provided.

The invention provides an air energy storage well coated sand layer alternating injection-production instability mode discrimination and evaluation method, which comprises the following steps of: 1, determining an initial state parameter of an evaluation object, and determining flow in experimental evaluation according to a similarity criterion; 2, collecting parameters of two ends of the coated sand filling layer in the experiment process, classifying alternating injection-production instability failure forms of the coated sand filling layer of the air energy storage well, and identifying instability failure modes; step 3, calculating each index according to the collected parameters; and 4, carrying out production regulation and control and coated sand filling layer evaluation according to an index calculation result. According to the air energy storage well coated sand layer alternating injection-production instability mode distinguishing and evaluating method, the stability of a coated sand filling layer in the experiment (production) process is evaluated through a simple method, the underground production state of the coated sand filling layer is simulated, instability mode distinguishing is carried out, and certain guiding significance is achieved for actual well safety production.

The invention relates to the technical field of battery health management, and provides a battery health state estimation system based on multi-scale feature fusion extraction, which comprises a data acquisition module, a feature processing module, a deep learning model module and a result display module, the data acquisition module is used for acquiring battery data in real time; the feature processing module is used for extracting multi-scale features of the battery data; the deep learning module is used for constructing and training a deep learning model and outputting an actual SOH value; and the result display module is used for displaying the actual SOH value. The application is passed. The method has the advantages of high precision and strong robustness, and is suitable for monitoring and estimating the battery health state of an electric vehicle, an energy storage system and other scenes.

According to the data center evaporation cold total heat recovery double-energy-storage air conditioning system and the control method, the obvious energy efficiency improvement and economic optimization effects are achieved, the future server heat load, environment parameters and electricity price changes are accurately pre-judged through a composite prediction model of the central control module, and the real-time charge state of the double-energy-storage module is combined, so that the energy efficiency is improved. A collaborative operation instruction with the optimal cost is generated; by means of deep coupling of the evaporative cooling module and the total heat recovery module, a natural cold source is utilized to the maximum extent, and the running time of a conventional refrigeration module is shortened; through cooperative scheduling of the cold energy storage unit and the heat storage unit, efficient cold / heat storage is achieved in the electricity price valley value period, stored energy is released preferentially in the peak value period, and frequent starting and stopping of equipment are avoided; and on the basis of the multi-dimensional constraint optimization decision model, the total operation cost is minimized on the premise that the system meets the safety temperature and humidity requirements of the data center.

The invention discloses a renewable energy scheduling control method based on electricity-carbon-green evidence market coupling, and relates to the technical field of renewable energy control, and the method comprises the following steps: predicting wind and light output fluctuation intervals based on a neural network, and classifying the wind and light output fluctuation intervals; constructing a first simulator based on chaotic mapping, and constructing a second simulator based on quantum machine learning; controlling to switch the first simulator and the second simulator according to a classification result, and outputting a wind-light output predicted value; and controlling energy storage output according to the wind-solar output predicted value and a preset electricity-carbon interaction model. The method is used for solving the problem of insufficient simulator adaptability in different wind and light output fluctuation scenes and insufficient energy storage control capability in an electricity, carbon and green evidence cooperative scene.

A charger assembly 10 for charging an energy storage unit associated with an elevator is provided. The charger assembly includes a first charger unit 20 mechanically coupled to an elevator column 30. The first charger unit is adapted to tap voltage from a power source. The first charger unit interconnects a first block 40 and a second block 50. The first block includes at least two slots 60 adapted to interlock with at least two projections 70 provided on the second block. The charger assembly also includes a second charger unit 80 electrically coupled with the first charger unit and mounted on a guide bracket 90 associated with a cabin of the elevator. The second charger unit includes a plurality of pins 100 adapted to receive the voltage tapped by the first charger unit to charge the energy storage unit associated with the elevator.

The present disclosure describes various embodiments directed at a weighing device with a power supply method for components within the weigh platter. It solves the issue of traditional electrical supply methods interfering with weight measurements by embedding an energy storage assembly within the weigh platter. This assembly supplies power to embedded subsystems when needed and recharges when possible, ensuring efficient power supply without disturbing the weighing process. The power transfer can be selectively controlled based on the weight detected or the reader's operational state. The device can be used in various configurations, extending beyond scales with data capture assemblies.

The invention relates to the technical field of polymer photoelectric materials, in particular to a preparation method of a supramolecular gel electrolyte. The method comprises the following steps: esterifying tetraphenylethylene alcohol and methacryloyl chloride to form tetraphenylethylene methacrylate, and performing staged linear heating polymerization on the tetraphenylethylene methacrylate, 3-(methacrylamido) propyl dimethyl 3-thiopropyl ammonium oxide inner salt, acrylic acid, tetraphenylethylene methacrylate and 4-vinylpyridine under the action of ammonium persulfate to obtain a tetraphenylethylene copolymer. And finally, soaking in a lithium chloride aqueous solution to obtain the supramolecular hydrogel electrolyte. The hydrogel obtained by the invention has high mechanical strength and high ionic conductivity, and is suitable for energy storage devices such as flexible supercapacitors and the like.

A facility for predicting on site electric power requirements for maintaining a fully electric fleet of vehicles in a mining operation to ensure sustainable electric operations, comprising a server comprising communications module configured to receive data and to transmit load management instructions; plurality of electrical charging stations; plurality of electric vehicles configured to be recharged by a selected electrical charging station; wherein the server comprises processor coupled with non-volatile memory, the non-volatile memory storing processing instructions that, when executed by the processor, causes the processor to simulate a total electrical power demand of the mine site due to the plurality of cabled mine equipment and the plurality of electric vehicles for each electric vehicle and each charging station within the facility over a prescribed period thereby to simulate and determine an energy storage capacity requirement of the charging stations of the facility through the prescribed period; thereby to forecast the electrical load management needs of the facility through the prescribed period.

The invention relates to the technical field of water treatment equipment, in particular to a coaxial nested ultrafiltration and nanofiltration integrated water purification device and system.The coaxial nested ultrafiltration and nanofiltration integrated water purification device comprises a main shell, and an annular ultrafiltration treatment area and an inner nanofiltration treatment area are coaxially arranged in the main shell. An energy storage adjusting assembly is arranged in the nanofiltration treatment area and comprises an elastic breathing sleeve coaxially arranged outside the nanofiltration membrane assembly in a sleeving mode. The sleeve elastically expands during filtering, so that the effects of buffering pressure and storing energy are achieved; and turbulent flow convex ribs can be arranged on the inner wall of the sleeve, so that the nanofiltration membrane is physically cleaned when the sleeve retracts. Besides, a backwashing pipeline and a valve are arranged, linkage control is carried out when the control unit detects that expansion of the sleeve exceeds the limit, and ultrafiltration produced water stored on the nanofiltration side is reversely pushed by utilizing pressure energy released by retraction of the sleeve so as to backwash an ultrafiltration membrane. According to the invention, the cooperation of pressure buffering, online cleaning of the nanofiltration membrane and energy storage backwashing of the ultrafiltration membrane is realized, the operation is stable, the efficiency is high, and the energy is saved.

The invention discloses a reprocessable solid-solid phase change material based on dynamic borate bonds and a preparation method of the reprocessable solid-solid phase change material. Based on the mechanism that boric acid ester is subjected to ester exchange during thermal stimulation, a dynamic cross-linking agent containing boric acid ester is adopted for cross-linking a polyurethane prepolymer, polyethylene glycol is cross-linked through chemical bonds, the tensile strength and the elongation at break of the phase change material are improved, and the problem that the phase change material is prone to leakage in the phase change process is solved; besides, borate bonds belong to associated dynamic covalent bonds and can keep the crosslinking density of the material unchanged when ester exchange occurs under thermal stimulation, so that the thermal stability of the material is relatively good; the solid-solid phase change material disclosed by the invention is excellent in mechanical property, has a relatively high enthalpy value, can be reprocessed, and has an application prospect in the fields of thermal management, energy storage, infrared stealth and the like.

The lithium battery pack health state estimation method based on data driving and equivalent circuit model fusion comprises the following steps: acquiring actual operation data of a lithium battery pack; judging positive and negative current identification charging sections, and screening effective charging sections by using SOC change and duration; extracting health factors such as capacity change rate, voltage change rate, cumulative mileage, SOC statistical characteristics and temperature statistical characteristics, and screening data driving health factors with strong correlation by adopting a Pearson's correlation coefficient; a second-order RC equivalent circuit model is constructed, model parameters are dynamically identified through FFRLS, and equivalent circuit health factors are obtained; fusing the data-driven health factors and the equivalent circuit health factors into a comprehensive feature set; and constructing a GRU-Attention model, capturing a long-term and short-term dependency relationship of data by adopting the GRU, enhancing feature expression through Attention, and outputting the predicted health state of the lithium battery pack. The method achieves the high-precision estimation of the health state of the lithium battery pack, and is suitable for the intelligent health prediction of a new energy automobile battery management system and energy storage equipment.

The invention discloses an intelligent hydraulic system of a roller press and a control method. The method comprises the steps that roll gap and pressure signals are collected in real time, and the average roll gap, the roll gap difference and the change rate are calculated; calculating an optimal system total pressure setting reference value in real time through a preset pressure-roll gap-material characteristic coupling model based on the target peak pressure, the current average roll gap and the material characteristic parameters; judging the working condition according to the roll gap difference and the change rate: under the stable working condition, taking the reference value as a double-side pressure set value; under the abnormal working condition, differential adjustment is carried out on double-side pressure set values on the basis of the abnormal working condition; and finally, the pressure set value is output to the hydraulic executing mechanism, and the state of the energy accumulator set is synchronously adjusted. The system correspondingly comprises a signal sensing unit, a hydraulic execution unit, an adjustable rigidity energy storage unit and an intelligent control unit. Constant-effect, stable and self-adaptive operation of the roller press under variable working conditions is achieved, and the grinding efficiency, the equipment stability and the intelligent level are remarkably improved.

The invention provides an emergency lighting control chip and an emergency lighting system, the emergency lighting control chip is connected with an energy storage battery, an emergency lighting unit and a first node, the first node is used for receiving input current, both the energy storage battery and the emergency lighting unit are provided with positive ends and negative ends, and the emergency lighting control chip comprises a switch module. By setting the switching time sequence of the switch module, the functions of constant-current charging, full charge protection, overvoltage protection and emergency discharging can be realized in the emergency lighting control chip, an additional LED lamp does not need to be specially arranged, and the cost of manual wiring is lower.