46results about How to "Optimize energy management" patented technology

The invention relates to a control method of work mode of a hybrid dynamic. A hybrid dynamical entire car control unit HCU comprises a motor administration module, a motor control unit MCU, a module signal of an input pattern administration module having request of quick start-stop, request of auxiliary drive, request of regenerative braking and generating electricity, request of idling and current motor state. When the fault detection module is subjected to fault management, the received signal is request signal of system protection, system fault signal and the current motor state. The output signal mainly comprises request mode, torque and speed. The hybrid dynamical entire car control unit HCU monitors and manages the working mode of the engine and motor, therefore the better energy management than the traditional vehicle is obtained. The most reasonable time and work mode are confirmed and the stable switch of motor work mode is ensured.

The invention discloses an intelligent network joint hybrid vehicle formation control method based on a driving style, and relates to the field of intelligent network joint hybrid vehicles. The methodcomprises the following steps of: firstly, using a vehicle networking technology and an intelligent transportation system to obtain real-time information such as front and rear vehicle distance, roadspeed limit, traffic signal, etc., and using particle swarm optimization algorithm to solve an optimal vehicle speed; secondly, combining the error big data obtained through tracking target vehicle speed of the drivers with different driving styles, and using a BP neural network and a compensation algorithm to solve a command speed of a driving assistance system; and finally, controlling the engine and motor torque near the optimal torque through hybrid vehicle energy management. According to the intelligent network joint hybrid vehicle formation control method based on the driving style, theinstruction speed of the driving assistance system is solved, and real-time energy management control is performed on the hybrid vehicle according to the intelligent transportation system and the driving style of the driver, the purpose of improving the road passing capacity and the fuel economy of the vehicle is achieved, and a new direction is provided for the hybrid vehicle in combination withthe intelligent transportation environment and the intelligent assistance driving.

The invention discloses a series battery pack SOP (state of power) on-line estimation method and an application thereof. The method comprises the following steps: carrying out the recursion on-line recognition of battery parameters and a battery dynamic effect; carrying out the battery SOP calculation at a next moment based on voltage limiting; carrying out the battery SOP calculation at a moment after the next moment based on voltage limiting; carrying out the battery SOP calculation at the next moment based on current limiting; carrying out the battery SOP calculation at the moment after the next moment based on current limiting; and carrying out the battery SOP on-line estimation at the next moment and the moment after the next moment based on the integration of voltage limiting and current limiting. The method gives the consideration of the impact on peak power from battery voltage and current working windows, can achieve high-precision SOP single-step prediction and multi-step prediction at the same time, can effectively prevent a battery from being used indiscriminately in an actual operation process, and helps other related system achieve optimal energy management.

A method for managing the energy of a battery energy storage power station based on wind power prediction, the method comprising the following steps: acquiring the previous predicted value of wind power, a current actual wind power value, and the controllable state value and charging state value of each current energy storage unit; respectively calculating the upper and lower threshold characteristic values of wind power prediction based on the previous predicted value of the wind power; and modifying in real time the wind storage combined output control target via a finite-state machine control module, and determining the required value of the total power of a battery energy storage power station, the finite-state machine control module comprising an energy storage SOC finite-state machine and a wind power finite-state machine. The method considers the short-term predicted value of wind power in the strategy for a battery energy storage power station, thus realizing coordinated power control of the battery energy storage power station and optimal management of stored energy based on predicted wind power.

The invention provides a multi-mode hybrid power-composite transmission power transmission device. The transmission device comprises an internal combustion engine power system, a planetary gear assembly, an output member, a motor power system, a hydraulic transmission system, a clutch assembly and a brake assembly, wherein the planetary gear assembly comprises at least three planetary gear trains;the internal combustion engine power system is connected with the hydraulic transmission system; the output member is connected with the planetary gear assembly; the clutch assembly connects the internal combustion engine power system, the motor power system and the hydraulic transmission system to the planetary gear assembly; and the clutch assembly and brake assembly provide continuous transmission ratio between the internal combustion engine power system or / and the motor power system and the output member. By combining the structural design of the transmission device and a braking energy management system, the recovery and release of braking energy are realized and the energy utilization rate is improved.

The invention discloses an electric vehicle charging load prediction method considering space-time distribution. The electric vehicle charging load prediction method considering space-time distribution includes the following steps: 1) according to the trip occurrence quantity and the trip attraction of an existing traffic zone, utilizing a growth factor method to calculate the trip occurrence quantity and the trip attraction of a future traffic zone; 2) utilizing a traffic distribution prediction model to calculate traffic volume distribution among each traffic zone in the future; 3) through ashortest path method, covering all the roads, of the road network, with the OD data among all the traffic zones, and calculating the traffic flow on all the trip paths in the road network, and the traffic flow values of all the roads; and 4) inputting the original data of an electric vehicle, based on the traffic flow of each road, performing analog simulation on the trip path of the electric vehicle, and calculating the charging load of the electric vehicle during the charging period to generate a charging load curve of each charging station in the set time quantum in the future so as to provide data support for planning and operating of the charging stations so as to provide basis for space load prediction of the power distribution network.

The invention discloses a lithium battery state estimation method for a distributed energy storage system, and belongs to the field of lithium ion battery application. The method comprises the following steps: establishing a lithium battery health state estimation model based on deep learning by adopting a gated cycle unit recurrent neural network; estimating the state of charge of the lithium battery of the distributed energy storage unit management system in real time by adopting a second-order equivalent circuit model of the lithium battery in combination with an extended Kalman filtering algorithm; and synchronously updating the battery capacity and the lithium battery state-of-health estimation model in the lithium battery state-of-charge estimation process through information interaction. On the premise of not increasing system hardware cost, through information interaction, accurate lithium battery capacity is provided for SOC estimation; meanwhile, a training sample is providedfor a big data SOH estimation model; therefore, the estimation precision of the SOC and SOH of the lithium battery in the system is improved, and subsequent effective completion of energy managementand scheduling of the system is facilitated.

The invention aims to solve a problem of traction network voltage safety caused by instantaneous high power, short-time high energy and the like of urban rail transit traction braking energy. In combination with a characteristic that a super capacitor and a battery have very strong complementarity in performance, a hybrid energy storage system of a double-DC / DC converter framework formed by supercapacitor-battery parallel connection is used for recycling traction braking energy. A double-closed-loop control strategy based on train traction power feedforward is provided on the basis of traditional double-closed-loop PI control, a fuzzy inference system and a low-pass filtering method are combined to cooperatively control power distribution of an energy storage element, and optimal energy management of the hybrid energy storage system is achieved by controlling a power distribution proportion. In the invention, a voltage fluctuation of a traction network can be effectively inhibited, anenergy utilization rate is improved, power of the energy storage system is optimized by monitoring a state of charge SOC of the energy storage device in real time, phenomena of overcharge and overdischarge of the energy storage element are prevented, and overall performance and cost performance of the hybrid energy storage system are improved.

The invention relates to a composite energy storage power supply and a method for realizing stabilization of DC bus voltage through the composite energy storage power supply, and belongs to the technical field of the energy storage power supply. A battery and a super-capacitor are connected with DC / DC, and then DC / DC is connected in parallel with the composite power supply structure so that isolation of voltage of the lithium ion battery, voltage of the super-capacitor and voltage of a DC bus can be realized, energy storage units are flexibly configured, energy management is convenient, impact of high current to the battery can be effectively avoided and the performance of the composite power supply can be enhanced. According to the voltage stabilization control method, the advantages of high power density and long cycle life of the super-capacitor can be effectively exerted, and the service life of a composite power supply energy storage system can be prolonged. Meanwhile, voltage of the DC bus can be effectively stabilized by the voltage stabilization control method.

The invention belongs to the technical field of big data management and application, and discloses a water, electricity, gas and heat comprehensive data exception analysis method and system, a storagemedium and a terminal. Energy consumption load prediction, loss monitoring analysis, key area or customer optimal energy consumption analysis and comprehensive energy consumption analysis and strategy are carried out; the energy consumption habits of customers are portrayed in combination with the electricity consumption, the water consumption and the air consumption of the users, the customers are classified and graded according to the portraits of the users, energy consumption load prediction and loss monitoring analysis are carried out on the customers in key areas, and the purpose of refined loss management is achieved while the service efficiency of an energy supply enterprise is improved. An energy consumption client carries out energy consumption management and control through water, electricity, gas and heat consumption monitoring data and an energy consumption condition analysis report provided by an energy supply enterprise, so that the purposes of energy conservation and consumption reduction of the energy consumption client are achieved; public security and inspection departments discover and stop illegal criminal behaviors in advance and solve potential safety hazardsin advance through users with water, electricity, gas and heat abnormal data provided by energy supply enterprises.

The present invention relates to a dual-planetary gear train multi-mode hybrid power system. The system comprises an internal combustion engine system assembly (300), an integrated starting power generator motor (20), a drive motor (18), a hybrid power control unit (9), a first planetary gear train (200) and a second planetary gear train (100); the internal combustion engine system assembly (300)includes a one-way clutch (303) and is connected with a first gear ring (201), the integrated starting power generator motor (20) is connected with a first sun gear (204), the drive motor (18) is connected with a second sun gear (103), the first planetary gear train (200) is connected with a second gear ring (101) through an output shaft of the tail end of the first planetary gear train with a first planetary carrier (202) as output, a locking clutch (203) is installed on the output shaft, and power is output to a whole vehicle through a second planetary carrier (104). According to a multi-mode hybrid power control method, just by controlling the target torque or rotational speed of the locking clutch and each power component, free switching among eight modes can be achieved.

The invention discloses a dual-disc clutch hybrid power assembly suitable for new energy vehicles, in which an engine, an elastic damping connector, a first motor, a double-disc clutch and a second motor are sequentially connected through coaxial; the second motor outputs The shaft is connected to the drive axle assembly; the energy storage power supply is electrically connected to the first motor controller, the second motor controller, and the vehicle controller; the first motor controller is electrically connected to the vehicle controller and the first motor connection; the second motor controller is electrically connected with the vehicle controller and the second motor respectively. The double-disc clutch of the present invention has no axial force generation for the motor and the engine, and has the functions of a clutch, a two-speed gearbox, impact overload protection, forward and reverse separation, non-powered intermittent speed difference shifting, and the like. It has quick switching response, high reliability, low energy consumption, and high efficiency; the energy output can be switched between the engine and the energy storage power supply according to the working conditions, and recycling can be realized, and the energy management matching is more reasonable.

The invention provides a dual battery pack vehicle energy management method, device, apparatus and storage medium. The vehicle comprises a first battery pack and a second battery pack. The vehicle energy management method of the dual battery pack comprises the following steps of: calculating a prediction value corresponding to an influence factor according to an influence factor of a second battery pack and an action function corresponding to the influence factor; calculating a total predicted value for replacing the second battery pack according to the predicted values of the n influence factors and the weight of the n influence factors; if the total predicted value is greater than the first threshold value, the second battery pack is predicted to be replaced within the first time periodthreshold value and the vehicle is brought into the first energy management mode. If the total predicted value is less than the second threshold value, it is predicted that the second battery pack will not be replaced within the first time period threshold value and the vehicle is brought into the second energy management mode. If the total prediction value is greater than or equal to the second threshold and less than or equal to the first threshold, the vehicle is maintained in a previous energy management mode. The system and method of the present invention optimizes energy management.

The invention discloses a double-clutch and double-motor hybrid power assembly with a speed reducer module. An engine, an elastic damping connector, a front single-plate clutch, a first motor, a rear single-plate clutch, a second motor and the speed reducer module of the double-clutch and double-motor hybrid power assembly are sequentially coaxially connected with one another; the speed reducer module is connected with a driving axle assembly; a vehicle control unit is connected with an energy storage power source, a first motor controller and a second motor controller, the first motor controller is further connected with the first motor and the energy storage power source, and the second motor controller is further connected with the second motor and the energy storage power source. The double-clutch and double-motor hybrid power assembly has the advantages that the front single-plate clutch and the rear single-plate clutch can be switched over without power interruption, are quick in response, small in structural volume, high in reliability and transmission efficiency and low in energy consumption and maintenance cost and are provided with simple control systems, chassis impact load of main driving motors can be effectively reduced or eliminated by the speed reducer module, accordingly, the power transmission efficiency of a new-energy vehicle can be effectively improved, energy management and matching can be optimized, the integral performance can be improved, and the like.

The invention discloses a hydrogen production and storage system, which comprises an electrolytic bath and a hydrogen storage device, and further comprises a heat storage power generation device, an oxygen storage device and a water storage device. The invention further discloses a multi-mode circulating hydrogen production method, which adopts the hydrogen production and storage system. According to the invention, a heat storage power generation device is introduced into a hydrogen production system and cooperates with renewable energy power generation to electrolyze water to produce hydrogen in an electrolytic cell, so that the problems of variable working conditions and frequent start and stop caused by the use of renewable energy in the hydrogen production process are avoided, and the adaptability of the PEM electrolytic hydrogen production system to the fluctuation characteristic of new energy is improved; according to the multi-mode circulating hydrogen production method provided by the invention, a method of coupling organic Rankine cycle power generation with renewable energy power generation is adopted, so that the power shortage of the input end caused by fluctuating renewable energy is filled up, and the productivity of a hydrogen production system is ensured; and the method and the system provided by the invention are simple and easy to implement, energy generated in the whole hydrogen production and storage system can be fully utilized, the economical efficiency of the whole system is improved, and the energy consumption is reduced.

The invention relates to a wind-solar hydrogen storage AC-DC hybrid power distribution energy routing control method. The method comprises the following steps of: 1, acquiring static data and operation data, calculating an available load transfer capability coefficient of each VSC, selecting a minimum value, assuming a corresponding subscript to to be m, taking a VSCm as a master control VSC, and establishing a DC network voltage, taking the rest VSCs as slave stations to receive power scheduling; 2, solving an equalization factor, and determining power increments of the other VSCs based on the equalization factor; and 3, when whether an adjustable load exists in a direct current bus is judged, performing coordination control on each VSC according to a corresponding condition, when no adjustable load exists in the direct current bus, performing fine adjustment on each VSC, and when the direct current bus has an adjustable load, adjusting the direct-current hydrogen production load according to the voltage of the direct current bus. The method is beneficial to operation control and energy management of a wind-solar hydrogen storage alternating current-direct current hybrid power distribution system, and can effectively deal with abnormal conditions such as alternating current system faults and the like.

The invention relates to a cooling control method and system, and an electric vehicle, and aims to solve a problem of relatively high energy consumption caused by unreasonable control of an electronicfan and a cooling water pump. The method comprises the following steps: acquiring characteristic parameter information acquired by a data acquisition module for a vehicle load corresponding to the data acquisition module; determining a cooling level of the corresponding vehicle load according to the characteristic parameter information; obtaining a flow interval corresponding to the cooling waterpump and a rotating speed interval corresponding to the electronic fan according to the cooling level of the vehicle load; and adjusting the flow of the cooling water pump to the flow interval, and adjusting the rotating speed of the electronic fan to the rotating speed interval. The cooling level of the vehicle load can be determined, then whether the cooling water pump or the electronic fan isstarted or not is determined, the flow of the cooling water pump and the rotating speed of the electronic fan are adjusted, an endurance mileage of the electric vehicle is guaranteed, and vehicle energy management is optimized.

The embodiment of the invention discloses a distributed temperature measurement intelligent cable. According to the technical scheme provided by the embodiment of the invention, the method comprises the steps: collecting the first temperature data of a monitoring position of a center node in real time in a monitoring period through the center node, and broadcasting a temperature measurement instruction to each child node of a current cable segment when the first temperature data reaches a first temperature threshold value; receiving second temperature data returned by each child node, and reporting the second temperature data to the system background; and comparing the second temperature data in the set number of monitoring periods with a preset second temperature threshold value, and when the second temperature data is determined to be abnormal, marking a temperature measurement time node of the center node in the next monitoring period, so that the center node triggers a collection and reporting process of the second temperature data at the temperature measurement time node. By adopting the technical means, the cable temperature monitoring effect can be guaranteed, meanwhile, a large amount of reported line temperature measurement information is reduced, and the data processing pressure of a system background is reduced.

The embodiment of the invention discloses a vehicle-mounted fire protection system, method and device and a storage medium. A controller issues a dormancy instruction to a fire detector at a set dormancy time point and enters a dormancy state, the fire detector receives the dormancy instruction, interrupts signal communication with the controller according to the dormancy instruction, keeps collecting state data of a corresponding fire detection point in real time, conducts signal communication with the controller when detecting a fire, and sends the wake-up information and an alarm signal tothe controller. The controller quits the dormant state at a set awakening time point or when receiving the awakening information, and receives an alarm signal in real time so as to start a corresponding fire extinguishing module to extinguish the fire. The system is advantaged in that the vehicle-mounted fire protection system can adaptively sleep and be awakened while vehicle fire alarm securityand protection are conducted in real time, so system energy consumption is reduced, and good energy consumption management is achieved.

The invention discloses a GPRS (General Packet Radio Service) remote transmission water meter collector, which comprises an external current power supply function module, an internal direct current power interface, a low power consumption power supply processing function module, an external power supply output interface, a MCU (Microprogrammed Control Unit) function module, a GPRS communication function module, a first communication interface, a second communication interface, a user operation interface, a first pulse acquisition interface and a second pulse acquisition interface. By use of the GRPS remote transmission water meter collector, the data acquisition and remote transmission of a large-caliber water meter / flowmeter can be effectively realized, the problem of difficulty in field meter reading is overcome, the labor intensity of workers is lowered, manpower and material resources are saved, the accuracy and the timeliness of meter reading data are improved, and convenience is brought to a water supply company to carry out pipeline analysis and energy consumption management after uniform data arrangement is performed.

The invention discloses an energy management system and a control method thereof. The energy management system is used for a fuel cell automobile power system and comprises a first-type energy storage device used for absorbing braking energy transmitted from a motor system when an automobile enters an electric braking state, a direct-current voltage converter which is located between the first-type energy storage device and a second-type energy storage device and used for transmitting the braking energy to the second-type energy storage device according to preset power, the second-type energy storage device which is used for absorbing and storing braking energy and providing power needed by vehicle operation for the motor system through cooperation with a fuel cell when the vehicle enters a starting or normal driving state, and a fuel cell. Braking energy can be fully recovered, and the service life and durability of the fuel cell can be improved.

The invention discloses an energy-saving production line for sheet jelly and relates to the technical field of production equipment for the sheet jelly. The energy-saving production line comprises thefollowing components: a primary pulp producing device, a cooling device, a drying device, a slitting device, a power device, a temperature regulating device and a production line casing, wherein thecooling device comprises a room temperature cooling part and a freezing part; the room temperature cooling part comprises a cooling conveying belt exposed in air; the temperature regulating device comprises a compressor positioned in an insulated freezer, a heating device positioned in an insulated drying box and a heat source device arranged in a heating cabinet; the production line casing surrounds the outer sides of the cooling device, the drying device and a heating tank. The energy-saving production line for the sheet jelly has the advantages that heat loss of drying the sheet jelly can be effectively reduced; meanwhile, power consumption of the whole production line of the sheet jelly is reduced, and dissipating heat which cannot be utilized can be recycled; meanwhile, the energy-saving production line has good product quality.

The embodiment of the invention discloses a signal receiving processing mode selection method and device of a signal receiving end. According to the technical scheme provided by the embodiment of theinvention, the method comprises the steps: constructing the first binding relationship between the service type and the signal receiving mode and the second binding relationship between each signal transmitting end and the corresponding diversity combining mode in advance; analyzing the currently received signal, extracting service type information and signal transmitting end identification information of the signal, querying a first binding relationship according to the service type information, determining a signal receiving mode of the current signal, and if the signal receiving mode of thecurrent signal is determined to be a multi-antenna receiving mode, querying a second binding relationship according to the signal transmitting end identification information, and determining a diversity combining mode of the current signal. A signal receiving mode and a diversity combining mode are adaptively selected through different service types and different signal transmitting ends, the signal receiving and processing effect is optimized, the signal processing efficiency is improved, and the system energy consumption management is optimized.

The invention belongs to the technical field of power generation ship power supply system test optimization, and provides a power generation ship power supply system test optimization platform. A power generation set model of the power generation ship power supply system is researched, after the power generation set model is checked in combination with an actual product characteristic curve of thepower generation ship power supply system, a high-precision power generation set simulation model is formed, and then, a power generation set test platform of the power generation ship power supply system is formed in combination with an actual power generation set controller; further, a power generation ship power supply system simulation model through configuration of the power generation shippower supply system is formed in combination with power grid parameters and load parameters; and then, an actual energy manager of the power generation ship power supply system is connected, and the power generation ship power supply system test optimization platform is formed. The platform provided by the invention can test whether system parameters of the power generation ship can satisfy national standards in steady state and transient state operating conditions, and can optimize energy management of the power generation ship power supply system and improve power supply safety and efficiency of the power generation ship power supply system.

The embodiment of the present application discloses a receiving mode selection method and device based on signal diversity receiving. In the technical solution provided by the embodiment of the present application, in the initial signal receiving mode, several signals are independently received through the main antenna, and the first signal quality parameter of the received signal is determined. When the first signal quality parameter is lower than the first signal quality parameter When the threshold is reached, the current signal receiving mode is switched to the diversity receiving mode, and the master antenna and several slave antennas perform diversity reception of signals, and combine the signals received by diversity to obtain a combined signal, and within the set first time period, continuously The set number of times detects that the first signal quality parameter of the signal received by the main antenna reaches the first signal quality parameter threshold, and restores the current signal receiving mode to the initial signal receiving mode. Using the above-mentioned technical means can guarantee the signal receiving performance of the system, optimize the energy consumption management of the system, and improve the signal processing efficiency.

The invention discloses a double-plate clutch hybrid power assembly suitable for a new energy automobile. An engine, an elastic damping connecting unit, a first motor, a double-plate clutch and a second motor of the double-plate clutch hybrid power assembly are coaxially connected in sequence. An output shaft of the second motor is connected with a drive axle assembly. An energy-storing power source is electrically connected with a first motor controller, a second motor controller and a vehicle control unit. The first motor controller is electrically connected with the vehicle control unit and the first motor. The second motor controller is electrically connected with the vehicle control unit and the second motor. The double-plate clutch does not generate axial force to the motors and the engine, and the functions of the clutch, a two-gear transmission, impact overload protection, forward and reverse separation, non-power-interruption speed-differential gear shifting and the like are achieved. Switching response is rapid, reliability is high, energy consumption is low, and efficiency is high. Energy output can be randomly switched between the engine and the energy-storing power source according to working conditions, energy can be recycled, and energy management fit is more reasonable.

The invention discloses a small combined cooling heating and power system based on artificial intelligence and a control method thereof, and relates to the technical field of generator energy utilization, the small combined cooling heating and power system comprises a driving system, a heat pump system and a control system, and a waste heat recovery system is further arranged in the heat pump system; the control system comprises a centralized controller, a driving system control module and a heat pump system control module, under the control of the centralized controller, a driving system controlled by the driving system control module is used for generating stable three-phase electricity and single-phase electricity, and a heat pump system controlled by the heat pump system control module is used for refrigerating or heating and supplying to users. The waste heat recovery system controlled by the heat pump system control module is used for recovering heat generated in the system operation process. The device has the characteristics of simple structure, low cost, less investment and easiness in implementation.

The invention discloses a lithium battery state estimation method used in a distributed energy storage system, belonging to the application field of lithium ion batteries. The method includes using the gated cyclic unit cyclic neural network to establish a deep learning-based lithium battery health state estimation model; using the second-order equivalent circuit model of the lithium battery combined with the extended Kalman filter algorithm to estimate the distributed energy storage unit management system in real time. Lithium battery state of charge; through information interaction, the battery capacity and lithium battery state of health estimation model in the lithium battery state of charge estimation process are updated synchronously. On the premise of not increasing the system hardware cost, the present invention provides accurate lithium battery capacity for SOC estimation through information interaction, and at the same time provides training samples for the big data SOH estimation model; and further improves the relationship between the SOC and SOH of the lithium battery in the system The estimation accuracy is convenient for the subsequent effective completion of energy management and scheduling of the system.

The embodiment of the present application discloses a method and a device for selecting a signal receiving processing mode at a signal receiving end. The technical solution provided by the embodiment of the present application pre-constructs the first binding relationship between the service type and the signal receiving mode and the second binding relationship between each signal transmitting end and the corresponding diversity combining mode. Afterwards, by parsing the currently received signal, extracting the service type information of the signal and the identification information of the signal transmitter, querying the first binding relationship according to the service type information, and determining the signal receiving mode of the current signal, if the signal receiving mode of the current signal is determined In the multi-antenna receiving mode, the second binding relationship is queried according to the identification information of the signal transmitting end, and the diversity combining mode of the current signal is determined. Adaptive selection of signal receiving mode and diversity combining mode through different service types and different signal transmitters to optimize signal receiving and processing effects, improve signal processing efficiency and optimize system energy consumption management.