103 results about "Energy management controller" patented technology

An intelligent network demand control system provides a system and method for controlling demand in an energy delivery system. Various embodiments of the intelligent network demand control system employs a transceiver network with a plurality transceivers coupled to meters and appliances residing at a plurality of customer premises. Control room operators instruct a customer premises (CP) energy management controller to implement a reduction in system demand. A demand reduction control signal is relayed out to a predefined group of transceivers to bring their respective controlled generators on line. The predefined transceivers, identified by their identification codes, are specified in the demand reduction control signal. The actual demand reduction is metered and relayed back to the CP energy management controller. In some embodiments, the total demand reduction is aggregated into a single number and then communicated to the operators.

An intelligent network demand control system provides a system and method for controlling demand in an energy delivery system. The intelligent network demand control system employs a transceiver network with a plurality transceivers coupled to meters and appliances residing at a plurality of customer premises. Control room operators instruct a customer premises (CP) energy management controller to implement a reduction in system demand. A demand reduction control signal is relayed out to a predefined group of transceivers to bring their respective controlled generators on line. The predefined transceivers, identified by their identification codes, are specified in the demand reduction control signal. When the transceivers bring the generators on line in response to a broadcasted demand reduction control signal, the actual demand reduction is metered and relayed back to the CP energy management controller. The total demand reduction is aggregated into a single number and then communicated to the operators.

An intelligent network demand control system provides a system and method for controlling demand in an energy delivery system. The intelligent network demand control system employs a transceiver network with a plurality transceivers coupled to meters and appliances residing at a plurality of customer premises. Control room operators instruct a customer premises (CP) energy management controller to implement a reduction in system demand. A demand reduction control signal is relayed out to a predefined group of transceivers to bring their respective controlled generators on line. The predefined transceivers, identified by their identification codes, are specified in the demand reduction control signal. When the transceivers bring the generators on line in response to a broadcasted demand reduction control signal, the actual demand reduction is metered and relayed back to the CP energy management controller. The total demand reduction is aggregated into a single number and then communicated to the operators.

A stabilized electric distribution system for use in a vehicle having electric assist. The system electrically couples an electric assist bus to an accessory load bus while protecting the first electrical bus from electric assist and regenerative braking induced voltage variations. An energy management controller selectively controls each of a electric motor / generator, a DC / DC converter, and an alternator to affect electric energy distribution within the system. Preferably, the electric energy distribution is controlled to maintain the first electrical bus voltage within a predefined voltage range.

The invention relates to a vehicle-mounted fuel cell and storage cell directly paralleled power system with a super capacitor. The power system comprises a fuel cell galvanic pile, a fuel cell accessory system, a fuel cell controller, a storage battery group, a super capacitor group, a high voltage bidirectional DC / DC (direct current) converter, a small power unidirectional DC / DC converter, a motor controller, a driving motor and a system energy management controller, wherein a high voltage output end of the fuel cell galvanic pile is connected with an anode of a power diode through a high voltage switch K1, and the high voltage output end of the storage battery group is directly connected with a cathode of the power diode and the high voltage output end of the motor controller in parallel through a high voltage switch K2 to form a direct current bus. The super capacitor group is connected with the direct current bus through the high voltage bidirectional DC / DC converter, and the high voltage output end of the storage battery group is connected with the fuel cell accessory system through the small power unidirectional DC / DC converter. According to the system disclosed by the invention, a power supply mode in which galvanic pile output needs large power DC / DC voltage stabilization of a conventional fuel cell is abandoned, and the efficiency is improved; the instantaneous needed power of the direct current bus can be compensated by the arranged super capacitor group, the bus voltage is steadied, and braking energy can be quickly and effectively recycled.

A stabilized electric distribution system for use in a vehicle having electric assist. The system electrically couples an electric assist bus to an accessory load bus while protecting the first electrical bus from electric assist and regenerative braking induced voltage variations. An energy management controller selectively controls each of a electric motor / generator, a DC / DC converter, and an alternator to affect electric energy distribution within the system. Preferably, the electric energy distribution is controlled to maintain the first electrical bus voltage within a predefined voltage range.

The invention discloses a resident intelligent energy management system suitable for an intelligent power grid. Due to the adoption of the resident intelligent energy management system, peak and off peak load regulation of a power load is realized, and the power quality and power reliability are improved. An intelligent energy management controller and an intelligent electric meter are arranged in the home of each resident; a control terminal is arranged on each controllable domestic appliance and a user switch respectively; a distributed power supply accessing device is arranged on each distributed power supply; the controller is connected with the control terminal and the distributed power accessing device through a Zigbee wireless communication network; the intelligent electric meter is connected with the distributed power supply accessing device and the controllable domestic appliance; the controller is communicated with the intelligent electric meter through a bus; the intelligent electric meter is further connected with the secondary sides of a voltage mutual inductor and a current mutual inductor; the controller undergoes information interaction with a high-level measuring system AMI (Advanced Metering Infrastructure) of a main station through Ethernet communication; the controller is used for controlling switching of the control terminal and the distributed power supply accessing device; the control terminal is used for submitting the state of the switch to the controller; the controller is used for monitoring the state of the switch.

An electrochemical cell system has a fuel cell power module and an electric energy storage module. The system further has an adaptive energy management controller connected to the fuel cell power module and the electric energy storage module for regulation of operation of the fuel cell power module. The adaptive energy management controller has a measurement device for measuring a process parameter indicative of the power or current drawn by the load or the current requested by the load. The controller further has a calculation and storage device for calculating and storing a time average value indicative of the power drawn over a first pre-set time period. The stored average value is used as an actual current draw request set-point signal by the adaptive energy management controller for regulating the operation of the fuel cell power module for a second time period following the first time period. The time average is a moving time average, a mean value or an endpoint-to-endpoint average. The system further has a control unit for regulation of the fuel cell stack and the balance-of-plant unit. The adaptive energy management controller may incorporate the control unit.

The invention discloses an energy management system of a solar unmanned aerial vehicle. The system comprises a solar battery assembly, a DC-DC converter, a lithium battery assembly, a lithium battery protection circuit, an energy management control module, an unmanned aerial vehicle master control module and an unmanned aerial vehicle power supply unit. The energy management control module comprises a maximum power tracing module, a battery state detection module, an intelligent charging and discharging module and an energy management controller; the solar battery assembly converts solar energy into electrical energy, the lithium battery assembly serves as the energy storage component of the unmanned aerial vehicle, the energy management control module can monitor the operating states of the solar battery and the lithium battery in real time, controls the energy distribution of the unmanned aerial vehicle, and chooses the appropriate power supply mode according to different situations. The energy management system of the solar unmanned aerial vehicle combines the advantages of the solar battery and the lithium battery, reasonably controls and distributes energy sources for use, improves the use ratio of the solar battery and the lithium battery, effectively overcomes the defect of insufficient energy storage of the existing unmanned aerial vehicle, and increases the endurance of the unmanned aerial vehicle.

A system for collaborative energy management and control in a building, including an energy management controller, one or more occupant HMIs that supports two-way communication between building occupants and a facility manager, and between building occupants and the energy management controller, and a facility manager HMI that supports two-way communication between the facility manager and the building occupants, and between the facility manager and the energy management controller, in which the occupant HMI allows building occupants to provide temperature preferences to the facility manager and the energy management controller, and the facility manager HMI allows the facility manager to configure an energy policy for the building as a set of rules and to view occupants' aggregated temperature preferences, and the energy management controller determines an optimum temperature range that resolves conflicting occupant temperature preferences and occupant temperature preferences that conflict with the facility manager's energy policy for the building.

An energy management system is provided for a hybrid electric vehicle including an electrical machine for vehicle traction drive and recuperative braking, an electrical storage system ESS for storing recuperated energy, and at least one additional vehicle electrical auxiliary device different from the electrical machine. An energy management controller is arranged to, upon establishing a potential for increased amount of recuperated energy during a predicted future downhill descent, direct electrical power from the ESS to the at least one additional electrical auxiliary device for the purpose of reducing the electrical charge level of the ESS, such that an increased amount of energy may be recuperated and stored in the ESS during the predicted future downhill descent.

The invention discloses a hybrid electric vehicle hydrogen consumption and load change energy management method. Through measures of model establishment, fuzzy rule introduction, energy management controller design and optimization and the like, a fuzzy energy management control method optimized through a genetic algorithm is established, and the operation efficiency of a fuel cell vehicle is improved. A subordinating degree function and a fuzzy rule base of the subordinating degree function are defined, and expert knowledge can be used for grasping a main output rule. The core of the method is optimization of parameters of the subordinating degree function, and inputs, outputs and fuzzy division of the fuzzy rule base of the inputs and the outputs are optimized. Due to the fact that the structure of a fuzzy rule cannot be directly expressed mathematically, an optimization problem is solved through the genetic algorithm.

A system for collaborative energy management and control in a building, including an energy management controller, one or more occupant HMIs that supports two-way communication between building occupants and a facility manager, and between building occupants and the energy management controller, and a facility manager HMI that supports two-way communication between the facility manager and the building occupants, and between the facility manager and the energy management controller, in which the occupant HMI allows building occupants to provide temperature preferences to the facility manager and the energy management controller, and the facility manager HMI allows the facility manager to configure an energy policy for the building as a set of rules and to view occupants' aggregated temperature preferences, and the energy management controller determines an optimum temperature range that resolves conflicting occupant temperature preferences and occupant temperature preferences that conflict with the facility manager's energy policy for the building.

The invention relates to an energy management system of a mixed power device based on a fuel cell, comprising an energy management controller formed by connecting a load energy demand and fuel cell auxiliary energy demand model unit, a charge state calculating unit and a charge state regulator through a signal wire. The energy management controller collects load control signals, the charge state calculating unit collects the real-time charge state values of power cells, and the energy management controller is connected with a fuel cell controller and a direct-current converter of a fuel cell system through a controller area network (CAN) and transmits the control signals. The invention has the advantages of reducing the cost, improving the reliability of the system, realizing the energy harmonious matching of a fuel cell power system and the follow-up control of the charging current of a power cell pack, improving the dynamic properties of the fuel cell system when the power device runs, prolonging the service life of the power cell pack and enhancing the safety of the power cells, and has the advantages of intelligentization, high reliability, low cost and the like.

The invention provides a centralized energy management method and a system therefor, an agent on a device side and a centralized energy management controller. The centralized energy management method comprises the following steps: registering a plurality of devices, and at least recording energy management capacity of each of the devices related to a controllable state of energy management; collecting running state data of each of the devices; analyzing the running state data to determine a current energy management strategy for each of the devices; for each of the devices, controlling the running state according to the determined current energy management strategy and the management capacity of the devices. The method determines the proper current energy management strategies in real time by registering the energy management capacities intensively and monitoring the current running states of the devices so as to control the current running states of the devices and realize centralized energy management for the devices.

The invention discloses a hybrid energy source system for an electric vehicle, and a control policy thereof. The system comprises a hardware circuit and a controller; the hardware circuit comprises abattery pack, a super-capacitor bank, a two-way DC / DC interface circuit one and a two-way DC / DC interface circuit two, of each the battery pack and the super-capacitor bank, connected with a DC bus, and an interface circuit between the battery pack and the super-capacitor bank; the controller comprises an interface circuit controller and an energy management controller; the interface circuit controller can maintain dynamic balancing of each battery monomer voltage in the charging / discharging process according to a battery pack charging / discharging voltage-sharing control program, and also canproduce a control signal to realize the direct energy exchange of two types of storage energy, so that the super-capacitor is operated in an excellent state of charge and can give full play to the power regulating capacity. The energy management controller realizes the reasonable distribution between an accumulator and the super-capacitor.

The invention discloses a simulation testing device for ship high-voltage electricity. The simulation testing device comprises a power distribution system, at least one set of high-voltage power distribution screens, an energy management controller and an adjustable load device. The power distribution system comprises two or more generator sets. Each generator set comprises a low-voltage alternating-current generator, a motor and a unit drive device. Each unit drive device comprises a unit drive controller, a transducer and an electric potentiometer. Each high-voltage power distribution screen comprises a load control screen, a generator control screen, a synchronous control screen and a connection control screen. The adjustable load device comprises a resistance load and an inductive load. The energy management controller is connected with the synchronous control screens, the connection control screens, the generator control screens and the unit drive devices through communication buses. According to the simulation testing device, the ship high-voltage power distribution screens are introduced into a laboratory, and therefore the situation that the laboratory is only provided with a low-voltage power distribution screen simulation system or a high-voltage power distribution screen simulation system in the past is changed.

The invention discloses a multi-energy electric automobile with a photovoltaic roof and a charging control method of the multi-energy electric automobile. The multi-energy electric automobile with the photovoltaic roof comprises an automobile main body, a photovoltaic module, an energy storage power cell, a motor driving module, an automobile switch controller, an electric motor, a plug-in and charging interface and an energy management controller. Under an ideal condition, the main energy comes from the plug-in and charging interface and the photovoltaic module can be used as energy supplement; and electric energy converted from optimal energy is charged to the energy storage power cell so that the energy storage power cell is continuously supplemented with electric energy; therefore, the energy of the vehicle can be supplemented in the running process. According to the invention, the progress of the electric vehicle industry in energy and power parts of the electric vehicle is promoted and is specifically that 1, complete industry module standards (including standards for mechanical and electrical interfaces) are established to realize combined design; 2, as each module is informationalized and standardized, enterprises can manufacture their own related part so that the enterprises can focus on building their own brands; and 3, key parts can be interchanged and seamlessly combined so that optimal comprehensive performance is exerted.

The invention relates to a hybrid power energy management control system for a new energy unmanned aerial vehicle fuel cell. The hybrid power energy management control system comprises a DSP energy management controller and three power converters, wherein the three power converters are connected to the energy management controller through signal lines respectively; the energy management controlleris a minimum system based on DSP28335, and the output of the power converters can be controlled while the state of the system is monitored, namely the power of the fuel cell and the power of a lithium battery are controlled. The current working condition is judged according to the power requirement of a load at every moment and the SOC of the battery by using a control strategy based on a state machine, and the output power of two batteries is controlled in real time according to a power distribution rule in the state. The fuel cell is taken as a main power supply for providing most load power, the lithium battery plays a role of power compensation when the load changes, the disadvantages of output power of the fuel cell are compensated when the power is high, and unnecessary output powerfor the fuel cell is recycled to play a role of peak shaving.

The invention discloses a fuel battery and storage battery hybrid power system energy management test platform and a method thereof, relates to an on-line energy management test platform and a method thereof and belongs to the unmanned aerial vehicle energy management and control technology field. A fuel battery and storage battery hybrid power system energy management test platform comprises a hybrid energy system, an energy management control system and a dynamic load simulation system. The hybrid energy system comprises a hydrogen storage apparatus, a flowmeter, a fuel battery system and a storage battery. The energy management control system comprises an upper computer, an energy management controller, a voltage and current controllable DC / DC converter and a current and voltage sensor. The dynamic load simulation system is a programmable electronic load. The invention also discloses a fuel battery and storage battery hybrid power system energy management test method based on the test platform. The invention aims at realizing feasibility verification of a fuel battery and storage battery hybrid power unmanned aerial vehicle energy management strategy and the advantages that test cost is low, a risk is small and realization is easy are possessed.

The invention discloses a hybrid power system with vehicle-mounted fuel cells and lithium cells in direct parallel connection. An output end of a fuel cell generation device is connected with an input end of a motor controller through a first switch conductive device; an output end of a lithium cell pack is connected with the input end of the motor controller through a second switch conductive device; an output end of the motor controller is connected with a motor; and a system energy management controller is respectively connected with a fuel cell controller, a lithium cell management system, the motor controller, a control end of the first switch conductive device and a control end of the second switch conductive device and used for controlling the ON and OFF of the first switch conductive device and controlling the forward ON or the backward ON or OFF of the second switch conductive device according to information obtained by the fuel cell controller and the lithium cell managementsystem. In the system, the traditional power supply mode requiring DC / DC (Direct Current / Direct Current) voltage stabilization is abandoned, the power supply efficiency is improved, the voltage fluctuation of the fuel cell generation device is shared by the lithium cell pack and the fuel cells protected.

The invention discloses a multi-source compound superconductive micro electrical network system and an energy management method thereof. The multi-source compound superconductive micro electrical network system comprises a public electrical network subsystem, a renewable energy generation subsystem, a DC bus, a liquid hydrogen main pipe, a liquid oxygen main pipe, an electrical energy storage and utilization subsystem, a composite energy source transmission and utilization subsystem, an energy state monitor and an energy management controller, wherein the energy state monitor is used for monitoring electrical energy state information of the DC bus and energy storage state information of the electrical energy storage and utilization subsystem, the energy management controller is used for controlling the electrical energy storage and utilization subsystem for storing excessive electrical energy on the DC bus, excessive liquid hydrogen in the liquid hydrogen main pipe and excessive liquid oxygen in the liquid oxygen main pipe or compensating insufficient electrical energy in the DC bus, insufficient liquid hydrogen in the liquid hydrogen main pipe and insufficient liquid oxygen in the liquid oxygen main pipe. Through the multi-source compound superconductive micro electrical network system, problems of renewable energy generation intermittence and instability are effectively solved, and high-quality electrical energy use can be realized for user terminals.

Utility (or other grid participant's) customers' intermittent power generation systems and loads (including optional energy storage) are made autonomously real time adaptive at the customer circuit level, so each of the customers' circuits (after powering that customer's varying load) contributes, at that customer's common connection to the utility meter, to the utility's (or other grid participant's) desired outcome for that customer's circuit, or contributes, at the intermediate circuit level, to the utility's desired aggregate outcomes for customers on that intermediate circuit. Energy management controllers are connected, behind the customer's utility meter on the customer's circuit, to controlled load portions of that customer's varying load, to autonomously add or shed, in real time, those controlled load portions, or (if there is stored energy) to autonomously discharge, in real time, stored power from storage. Utility (or other grid participant) rules for achieving desired outcomes can be downloaded to the controllers and customers can individually opt-in to some, all, or none, of those utility (or other grid participant) rules. Real time means within sub second to fifteen second intervals.

The invention discloses an electric automobile compound energy management method based on a rule and Q-learning reinforcement learning. By the adoption of the method, energy management is conducted according to the power requirement of a vehicle at every moment and the SOCs of a lithium battery and a super capacitor. In an energy management strategy based on Q-learning reinforcement learning, an energy management controller takes actions through observation of the system state, calculates the corresponding award value of each action and makes updates in real time, an energy management strategywith the minimum system loss power is obtained through utilization of the award values through Q-learning reinforcement learning algorithm simulative training, finally, real-time power distribution is conducted through the energy management strategy obtained through learning, and meanwhile, the award values are continuously updated to adapt to the current driving condition. By the adoption of themethod, on the basis that the required power is met, the electric quantity of the lithium battery can be kept, the service life of the lithium battery is prolonged, meanwhile, system energy loss is reduced, and the efficiency of a hybrid power system is improved.

The invention discloses a multi-energy ship energy management controller based on load prediction and a control method thereof. Through receiving signals collected by a CAN bus or Ethernet, load prediction and energy management algorithms are implemented in the controller to control various working modes of multi-energy ships. A controller module, a power supply module, an Ethernet module, a voltage detection module, a state display module, a fault alarm module, a CAN bus / RS485 module, and an execution module are included, wherein the power supply module, the Ethernet module, the voltage detection module, the state display module, the fault alarm module, the CAN bus / RS485 module, and the execution module are connected to the controller module. In the invention, energy of the multi-energy ships can be optimized, energy consumption of the multi-energy ships is reduced under the condition that various working condition requirements of the ships are satisfied, and then cost is reduced and pollution of the ships to environment is decreased as much as possible.

The invention discloses an unmanned aerial vehicle management platform. The unmanned aerial vehicle management platform comprises an onboard control terminal and a remote monitor and control terminal, wherein the onboard control terminal is in control connection with an unmanned aerial vehicle self-driving instrument, the control for an unmanned aerial vehicle structure platform is realized, and an energy management system is used for carrying out intelligent control on power supply of the onboard control terminal; the energy management system comprises an energy management controller, a lithium battery assembly and a solar battery assembly; the energy management controller is electrically connected with a battery state detection module, an intelligent charge and discharge module and a maximum power tracking module; the lithium battery assembly is electrically connected with a lithium battery protection circuit, and is electrically connected to the battery state detection module and the intelligent charge and discharge module through the lithium battery protection circuit; and the solar battery assembly is electrically connected with a DC-DC converter, and is electrically connected to the battery state detection module and the maximum power tracing module respectively through the DC-CD converter. The unmanned aerial vehicle management platform solves the technical problem that a management platform capable of improving the energy utilization efficiency of an unmanned aerial vehicle and also strengthening the control for the unmanned aerial vehicle is lacked at present.

The invention discloses an energy management control method of a fuel cell automobile. A fuel cell, a super capacitor, a motor and an energy management controller are included, the fuel cell and the super capacitor provide electric energy for the motor through the energy management controller, the fuel cell charges the super capacitor through the energy management controller, and the energy management controller receives signals of the motor, the fuel cell and the super capacitor. The energy management controller is divided into five states according to the residual amount of hydrogen in the fuel cell and the SOC value of the residual electric quantity of the super capacitor, the states are transferred, and power output of the fuel cell and the super capacitor is controlled according to the states. The invention has the beneficial effects that: the power change of the fuel cell can be effectively reduced, and the economical efficiency of the fuel cell electric vehicle is effectively improved; the control strategy is simple in calculation process and can be embedded into a controller chip; and the economical efficiency and the dynamic property of the vehicle are comprehensively improved, and the service life of parts is comprehensively prolonged.

The invention discloses a distributed power system for virtual rail transit trains and a matching control method, and belongs to the technical field of rail transit trains. The method includes the steps of calculating the running conditions of different compartments according to line conditions and train parameters; conducting matching optimization on distributed energy storage packs in the distributed power system according to the running conditions and constraints to obtain a matching scheme; making a distributed power system control strategy according to the matching result, and controllingthe energy output of the train distributed power system through a train energy management controller and an energy storage pack management system. The distributed power system for virtual rail transit trains and the matching control method can realize flexible marshalling combination of virtual rail trains and improve the power supply reliability and the emergency power supply capability.

The invention discloses a whole-vehicle energy management controller for an internal-combustion generating extended-range electric vehicle. According to the whole-vehicle energy management controller, an MCU (microprogrammed control unit) detects and controls an ICE (internal combustion engine) through an ICE load adjusting circuit by the aid of a functional port of the MCU as well as detects and controls an ISG (integrated starter and generator) to work through an ISG rectifier and inverter circuit; charging and discharging states of a current storage battery and charging states of a driving motor and a controller of the driving motor are read through a storage battery SOC (state of charge) and demanded driving power detection circuit; voltage ratios of two ends of each of a range extender and the storage battery are adjusted through a bidirectional DC / DC circuit, and the operating condition of the range extender ICE is optimized; a controller power supply adjusting circuit provides required working power supplies for all modules in the controller. By the aid of the whole-vehicle energy management controller, according to the SOC of the current storage battery and the demanded whole-vehicle driving power, the range extender can be started up and stopped, the output power and the operation condition of the range extender can be adjusted, and charging and discharging management of the storage battery can be coordinated, so that optimum control can be implemented on whole-vehicle energy management.

The invention discloses a fuel cell and super-capacitor system optimization method based on road condition recognition. For a real-time power distribution problem between a fuel cell and a super-capacitor system in a hybrid electric vehicle, the invention provides a self-adaptive energy management strategy based on road condition recognition. The consumption of few fuels can be maximized and the power distribution is performed by use of a designed energy management controller. In order to prolong the service life of the fuel cell and reduce hydrogen consumption, key parameters are optimized ina design algorithm; a new-energy vehicle can successfully identify a current driving mode based on characteristics extracted by a designed multilayer perceptron classifier, less current fluctuation and fuel consumption and the conventional energy management control can be realized under various driving conditions when a charging state of a super-capacitor is maintained in the expected limit.