466results about "Propulsion by capacitors" patented technology

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

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

The invention discloses a driving control method of a DAB converter and related equipment, and relates to the technical field of power electronic converter control, and the method comprises the steps: calculating a voltage transformation ratio based on an input voltage and an output voltage through a current stress adjustment module, and calculating an output power based on the output voltage and an output current, substituting the voltage transformation ratio and the output power into a current stress adaptive minimization algorithm to solve an internal phase shift angle; meanwhile, through a PI controller, an external shift phase angle is adjusted based on a difference value between the instruction voltage and the output voltage; outputting the inner phase shift angle and the outer phase shift angle to a PWM modulation generator to generate a switching tube driving signal; the DAB converter is controlled by the driving signal to realize rated voltage output and current stress minimization, so that the efficiency and reliability of the converter are improved.

An electric vehicle charging station for charging electric vehicles includes a plurality of energy storage reservoirs configured to receive and store energy from one or more power sources and / or one or more power generators; one or more power heads for charging the electric vehicles at the electric vehicle charging station, the multiple power heads receiving electrical power from the plurality of energy storage reservoirs, the multiple power heads each being configured for releasably connecting to each of the electric vehicles for charging at the electric vehicle charging station; and a computer control system configured to monitor a charging demand at each of the one or more power heads and to connect one or more of the plurality of energy storage reservoirs to one or more of the power heads based on the charging demand of the one or more power heads.

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

The invention discloses a fuel cell hybrid electric vehicle power distribution method based on heuristic action planning deep reinforcement learning. The method comprises the following steps: establishing a power distribution system model of a fuel cell hybrid electric vehicle equipped with a lithium battery and a super capacitor; a power layered structure is provided, a deep reinforcement learning model of the fuel cell hybrid electric vehicle is designed, a probability transfer matrix of required power is constructed, and model training is performed in a data driving mode; designing a reward function by adopting an equivalent consumption minimum strategy, and guiding optimization of an energy management strategy by fuel economy; the motion space of deep reinforcement learning is improved by adopting heuristic planning, and smooth output of the fuel cell is kept on the premise of reducing equivalent hydrogen consumption. According to the method, power distribution of the three-energy-source fuel cell hybrid electric vehicle can be achieved in a complex and random driving environment, hydrogen consumption is reduced, dynamic adaptability to different driving conditions is improved, and meanwhile the method has the potential of real-time application.

Disclosed herein are systems and methods for energy management. A system, such as a vehicle, includes a solar cell that generates energy in response to receiving light. The system includes an energy controller, which includes a processor and memory, that predicts an optimal time period for charging an energy storage unit based on information tracking discharging of the energy storage unit over time. The system includes trickle charging circuitry that provides the energy to the energy storage unit during the optimal time period, and the energy storage unit that stores the energy and discharges the energy to power at least one component, such as a vehicle propulsion mechanism.

Disclosed herein are systems and methods for energy management. A system, such as a vehicle, includes a plurality of energy storage units that include a supercapacitor and an electrochemical battery. The system includes plurality of energy storage units including a supercapacitor and an electrochemical battery, the supercapacitor comprising a plurality of selectable power sources, and an adder module including a processor. The processor is configured to execute instructions to selectively connect the supercapacitor or the electrochemical battery to an electric drivetrain to propel the vehicle. The processor may be configured to measure the selectable power sources and determine a set of the selectable power sources to connect to the system.

The invention relates to a hybrid energy storage control method for an urban rail transit energy router. The method comprises the following steps: S1, carrying out topological structure design and system compatibility configuration on the energy router; s2, impedance modeling and frequency division power distribution of the hybrid energy storage system are carried out; s3, fuzzy controller design and super capacitor SOC dynamic management are carried out; s4, carrying out membership function optimization and fuzzy control parameter setting; s5, multi-mode cooperative control and system operation optimization are carried out; according to the structure of the energy router and the power utilization characteristics of the rail transit system, working modes are divided, the working state of the system is optimized, and the system is kept in a reasonable working state. The method can effectively improve the utilization rate of energy and prolong the service life of the system.

The invention provides a new energy automobile energy closed-loop system, method and product based on waste heat cascade recovery. The system comprises a waste heat cascade recovery subsystem for collecting multi-source waste heat of the new energy automobile and converting the multi-source waste heat into electric energy; the dynamic energy management subsystem is used for storing electric energy and determining a power-on path of the new energy automobile according to the state of the new energy automobile, and the state of the new energy automobile comprises the speed change rate of the new energy automobile, the charge state of the super capacitor bank and the charge state of the lithium battery pack; and the self-powered closed-loop control subsystem is used for monitoring the temperature of the battery module in the power-on process of the new energy automobile and calling electric energy to drive a heater when the temperature of the battery module is lower than a preset temperature threshold value so as to realize closed-loop temperature control. Therefore, the waste heat utilization rate of the new energy vehicle can be improved and the closed-loop management of the energy of the whole vehicle can be optimized by performing stepped recovery on the waste heat of the new energy vehicle and supplying power to the vehicle based on thermoelectric conversion.

Systems and methods for monitoring and managing temperature of power packs of supercapacitors are disclosed. The system comprises a plurality of supercapacitor power packs associated with an electric motor. Further, an energy database is provided and configured to store data related to the charge of the supercapacitor power packs and thermal energy requirements related to the supercapacitor power packs.

Disclosed herein are systems and methods for energy management. A system, such as a vehicle, includes a plurality of energy storage units that include a supercapacitor and an electrochemical battery. The system includes plurality of energy storage units including a supercapacitor and an electrochemical battery, the supercapacitor comprising a plurality of selectable power sources, and an adder module including a processor. The processor is configured to execute instructions to selectively connect the supercapacitor or the electrochemical battery to an electric drivetrain to propel the vehicle. The processor may be configured to measure the selectable power sources and determine a set of the selectable power sources to connect to the system.

An electrical energy recovery, storage, and distribution system that may be used in a vehicle. The system may include a supercapacitor configured to quickly store large amounts of energy. The system may also include multiple circuits operating at different voltage levels, such that an output voltage from the supercapacitor is useful over a larger voltage range and the system is more energy efficient.

The hierarchical optimization control method in the vehicle following scene of the fuel cell hybrid electric vehicle comprises the following steps: acquiring vehicle driving data in real time, and inputting the vehicle driving data into a pre-trained working condition recognition model for recognition to obtain a real-time traffic working condition; inputting the real-time traffic condition into a pre-constructed model prediction vehicle-following controller for prediction, and performing optimization guidance on the prediction process of the model prediction vehicle-following controller based on a particle swarm algorithm to obtain an optimal vehicle control parameter; demand power of the fuel cell hybrid electric vehicle is obtained based on the optimal vehicle control parameters, and weighting Soc is calculated according to the demand power; inputting the required power and the weighted Soc as input variables into a fuzzy logic system for fuzzy processing to obtain an adjustment frequency; and inputting the required power and the adjusting frequency into a self-adaptive low-pass filter for frequency division processing. According to the method, the required power of the fuel cell hybrid electric vehicle can be reasonably distributed in the vehicle following scene.

A system includes a plurality of power modules connected in parallel and a variable current load controller coupled to the plurality of power modules. The input terminals of the plurality of power modules are configured to be coupled to an output of a fuel cell stack, and the output terminals of the plurality of power modules are configured to supply power to a forklift. The plurality of power modules is further configured to provide electrical isolation between the fuel cell stack and the forklift. The variable current load controller is configured to regulate power distribution among the plurality of power modules.

A hybrid battery for supplying electric power to a vehicle includes a terminal, one or more lithium-ion cells, one or more ultracapacitor cells, a DC / DC converter, and a controller. The one or more lithium-ion cells are connected to supply a first current to the terminal. The DC / DC converter is coupled in-series between the terminal and the one or more ultracapacitor cells. The one or more ultracapacitor cells and the DC / DC converter are connected to supply a second current to the terminal. The lithium-ion cells are connected in parallel with the one or more ultracapacitor cells and the DC / DC converter. The controller is in communication with the DC / DC converter to selectively modify the second current provided to the terminal.

Aspects of the present disclosure are directed to systems, devices, methods, and computer-readable storage medium for adaptive / dynamic thermal management of an electrical power system having variable electric loads, and components thereof. Thermal management may be driven at least partially by predicted / modeled thermal performance of the component to be managed, which may be calculated or modified using direct or indirect measurements. Embodiments may include adaptive thermal management of at least one of an energy storage system and an electric energy supply. Applications of this disclosure may include adaptive thermal management method for electric vehicles and non-mobility applications, particularly having variable electrical loads, which may impact performance or life of the application.

An apparatus comprises a power electronic energy conversion system comprising a first energy storage device configured to store DC energy and a first voltage converter configured to convert a second voltage from a remote power supply into a first charging voltage configured to charge the first energy storage device. The apparatus also includes a first controller configured to control the first voltage converter to convert the second voltage into the first charging voltage and to provide the first charging voltage to the first energy storage device during a charging mode of operation and communicate with a second controller located remotely from the power electronic energy conversion system to cause a second charging voltage to be provided to the first energy storage device during the charging mode of operation to rapidly charge the first energy storage device.

The invention relates to the technical field of hybrid electric vehicle energy management, in particular to a hybrid electric vehicle layered reinforcement learning energy management method considering energy source life and energy consumption optimization. The method comprises the following steps: establishing an energy management system model and an energy source degradation model; energy source physical characteristics are analyzed, demanded power is processed in a layered mode, and an energy management learning strategy based on historical data is constructed; and energy management is implemented by combining the demand power change, the lithium battery, the super capacitor SOC and the degeneration degree of the energy source. Fuzzy filtering is adopted to shunt required power, a high-frequency peak value is borne by a super capacitor, and low-and-medium-frequency power is proportionally distributed by a lithium battery and a fuel battery according to the degradation degree; energy source degradation and deep reinforcement learning are fused, related parameter weighting is introduced into the ECMS, and lithium battery charging and discharging current is restrained. According to the method, comprehensive energy consumption can be reduced, energy source degradation is slowed down, the working condition application range is widened, overcharge and overdischarge of the lithium battery are avoided, the service life of the lithium battery is prolonged, and the SOC of the energy storage element is stabilized in a reasonable interval.

The invention relates to the technical field of rail transit, in particular to a linear motor traction converter system which comprises a linear motor carrying truck, a traction carrying truck, an energy supplementing carrying truck and a quick plug connector. Wherein the linear motor carrying truck carries a linear motor and a section switch which are connected with each other; the traction carrying truck carries a traction converter and a super capacitor which are connected with each other; the energy supplementing carrying truck carries the battery charging unit; the quick-plug connectors comprise a first quick-plug connector and a second quick-plug connector; wherein the section switch is connected with the traction converter through the first quick plug connector. According to the scheme, through function decoupling and vehicle-mounted design, an original integrated system is decomposed into three core modules with independent maneuvering capacity, on-site hour-level rapid electrical assembly is achieved, and the core pain point of long deployment period is solved.

A system and method for regulating an operating temperature of an energy storage system configured to provide power to a vehicle. The system may comprise a TMS and a controller. The controller may be configured to receive route information, vehicle speed and / or payload and determine aggregate power demand and aggregate regeneration energy, and estimated charging / discharging current. The controller may be furthered configured to initiate a ramp-up procedure based on the estimated discharging current associated with the next sequential incoming segment and a preparation time, and / or to initiate a ramp-up procedure based on the estimated charging current associated with the next sequential incoming segment and a preparation time.

The invention discloses a hierarchical energy management method for a multi-stack fuel cell hybrid power system. The method comprises the following steps: acquiring the recession state and real-time maximum efficiency of each fuel cell, each lithium battery and each super capacitor of the system; dividing a fuel cell, a lithium battery and a super capacitor with similar decline degrees and maximum efficiency into a region by using a decoupling feature clustering neural network, so as to divide the whole system into a plurality of regions; a nested deep reinforcement learning controller is constructed according to the instantaneous efficiency of the fuel cell, the equivalent hydrogen consumption of the system, the instantaneous decline rate of each power unit, the SOC of the lithium battery and the super capacitor and the operating temperature of the fuel cell, and optimal energy management of each region is realized; and performing system-level coordination scheduling on energy management results of all regions, and realizing cross-region power balance and boundary condition constraint through a central power coordination module. According to the invention, efficient operation and service life protection of a multi-pile hybrid power system in high-power and high-reliability application scenes such as rail transit vehicles are realized.

An electric vehicle includes an electric drive device, first and second energy storage devices, and a bidirectional DC converter. The drive device, the DC converter, and the second energy storage device are connected to each other via a common intermediate circuit. The intermediate circuit includes an intermediate circuit voltage, the first energy storage device includes a storage voltage and is connected to the intermediate circuit via the DC converter. The drive device is supplied with drive energy by the first and / or second energy storage device. The intermediate circuit voltage is converted into the storage voltage in a first converter direction by the DC converter. The storage voltage is converted into the intermediate circuit voltage in a second converter direction by the DC converter. The first converter direction is activated when charging the second energy storage device and is deactivated when discharging the second energy storage device.

The utility model discloses a power supply device for an electric carry-scraper and the electric carry-scraper comprising the power supply device, and belongs to the technical field of engineering machinery. The power supply device comprises a charging device, a direct current distribution box and an auxiliary power supply, the charging device is used for converting alternating current into direct current and providing the direct current for the direct current distribution box, the direct current distribution box is used for tapping the received direct current, and the auxiliary power supply is electrically connected to the charging device and the direct current distribution box; and an auxiliary power supply for receiving power from the charging device and the DC distribution box and supplying power to the DC distribution box, the auxiliary power supply independently supplying power to the electric carry-scraper when the electric carry-scraper needs power and the charging device does not supply power to the electric carry-scraper. The maneuverability of the towing type electric carry-scraper can be improved, the efficiency of an original power system can be improved, and the comprehensive cost of the carry-scraper can be reduced.

The present invention discloses an optimized energy allocation method and system for an electric vehicle and an electric vehicle. The method includes step (1) detecting remaining charge levels of a first super-capacitor and a second super-capacitor, determining whether the remaining charge levels of the first super-capacitor and the second super-capacitor are greater than a preset threshold value, and if so, proceeding to step (2); step (2) acquiring a topographic map of a road ahead by means of an electric horizon system, predicting whether there is a continuous slope ahead, and if so, proceeding to step (3); and step (3) according to a continuous slope value ahead, predicting a braking force allocation proportion when carrying out braking ahead, allocating current power outputs of the first super-capacitor and the second super-capacitor in advance according to the braking force allocation proportion, and returning to step (1).

A system and a method for supercapacitor state-of-health (SoH) estimation. The system includes: a data detector that monitors charge-discharge data of a supercapacitor mounted in a vehicle; a vehicle controller including a data construction unit that constructs a time series data matrix for each charge / discharge cycle of the supercapacitor based on the charge-discharge data monitored by the data detector, and a neural network model that estimates SoH of the supercapacitor using the time series data matrix for each charge-discharge cycle of the supercapacitor output from the data construction unit; and a display device that displays an estimation result for the SoH of the supercapacitor estimated by the neural network model of the vehicle controller.

A container-handling vehicle for handling storage containers in a three-dimensional grid of an underlying storage system, comprising: at least one lifting device for lifting storage containers from and lowering storage containers to the underlying storage system, said lifting device comprises a lifting frame for gripping a storage container, a winch system for lifting and lowering the lifting frame, a motor to drive the winch system and a driver circuit with a controller controlling the motor; and at least first and second rechargeable power sources for providing power to the motor, wherein the driver circuit further comprises a regenerative energy circuit configured to harvest energy from the motor when the lifting frame is lowered 10 into the storage system and where the driver circuit is configured to direct harvested energy to the rechargeable power sources according to levels of charge in the rechargeable power sources.

The invention relates to a rail vehicle (12) comprising a traction battery (8) and a power converter (4). The power converter (4) can be supplied with electrical current by the traction battery (8). The power converter (4) is connected to a DC electrical system (7) via a power converter voltage converter (6). The invention also relates to a method for switching on a rail vehicle (12). In this method, the vehicle voltage converter (2) is first supplied with energy from the traction battery (8) via the DC electrical system (7) before the power converter (4) is activated.

The invention discloses a vehicle power system and an energy management method. The vehicle power system comprises a fuel stack system, a super capacitor module, a power battery module, a switch module and a direct current bus, the fuel stack system comprises a first stack module; under the condition that the vehicle is in a braking state, if the maximum allowable charging power of the power battery module is greater than the sum of the power of the fuel pile system and the braking power of the vehicle motor, the first switch module is used for communicating the first pile module with the direct-current bus; the second switch module is used for disconnecting the super capacitor module from the direct current bus and the first electric pile module respectively; and if the maximum allowable charging power of the power battery module is smaller than or equal to the sum of the power of the fuel pile system and the braking power of the vehicle motor, the first switch module and the second switch module are used for communicating the first pile module and the super capacitor module. Therefore, the recovery ratio of the braking energy is improved, and the economical efficiency of the vehicle is improved.

To reduce electric power which should be reserved for start in a work machine including a plurality of fuel cells.SOLUTION: Upon receiving a command signal for starting a work machine, a main control device outputs an activation command to a first fuel cell module among a plurality of fuel cell modules. Upon detecting the activation of the first fuel cell module, the main control device outputs an activation command to a second fuel cell module, which is different from the first fuel cell module, among the plurality of fuel cell modules.SELECTED DRAWING: Figure 3