5094 results about "Hybrid power" patented technology

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

The invention discloses a starting control system and method for a main and auxiliary power hybrid ship, and relates to the field of ship power control, and the system comprises a multi-source data collection module which is used for obtaining a multi-source state data set of a ship power system; the fusion processing module is used for performing feature alignment processing on the multi-source state data set based on a multi-modal sensing data fusion algorithm to generate a hybrid power starting parameter set; the dynamic weight distribution module is used for constructing a dynamic weight distribution matrix according to the hybrid power starting parameter set; the cooperative control module is used for generating a main and auxiliary engine combined starting instruction set based on an improved cooperative control algorithm; and the execution and monitoring module is used for executing the main and auxiliary engine combined starting instruction set in a preset time window and monitoring the transient response characteristic of the propulsion system. According to the starting control system and method for the main and auxiliary power hybrid ship, the starting stability and the energy utilization efficiency of the hybrid ship are improved.

A dual-motor mixed-hybrid powertrain system, by performing pulse modulation control, i.e., series-hybrid intelligent start-stop control or parallel-hybrid intelligent power switching control, on the instantaneous power time-varying functions of an engine and a battery pack, can convert the surface working condition of an analog electric control engine into a simpler line working condition of a digital pulse control (DPC) engine, either a pre-determined high-state line working condition in the high-efficiency combustion area or a pre-determined non-combustion low-state line working condition with zero fuel consumption and zero pollutant emissions multiplexed in time. The traditional fixed one-to-one bidirectional mapping between an engine working condition and a vehicle working condition is converted into a dynamically adjustable many-to-many bidirectional mapping to achieve the full coverage of any overall vehicle working condition, achieving decoupling between a DPC engine working condition and the overall vehicle working condition and decoupling between software and hardware of a hybrid powertrain.

The invention provides a lithium battery hybrid power motorcycle performance improvement control strategy generation method, which comprises the steps that vehicle driving states comprise a sliding state and a braking state, if the current vehicle is in the sliding state, a preset sliding energy recovery mode is activated, and if the current vehicle is in the braking state, a preset braking energy recovery mode is activated; different energy recovery strategies are combined and optimized according to the subdivision result of the energy recovery strategies in the sliding state and the braking state, and the vehicle speed, the battery charging state and the energy recovery potential value parameters are input to obtain a target energy recovery strategy combination scheme; the intention of acceleration, deceleration or constant speed of a driver is judged according to the operation characteristics of an accelerator and a brake, the operation characteristics refer to the force of stepping on an accelerator pedal and a brake pedal, and the driver intention obtained through judgment serves as the basis for dynamic adjustment of the energy recovery strategy.

Power flow in a power distribution system is controlled using control commands generated based on values of system parameters. In this regard, generation prediction data, load prediction data, and real-time device status of equipment are utilized to generate scheduling data for power generation and power consumption and a network topology of the system is also obtained. The values of the system parameters are generated as an outcome of an unbalanced load flow analysis of the power distribution system using the scheduling data and the network topology. The unbalanced load flow analysis utilizes a compact multi-bus based nodal admittance model to represent relationships between nodal injected currents and nodal voltages at a plurality of non-overlapped phases of buses for a section formed by zero impedance branch connected with impedance branches in the power distribution system.

The invention relates to the technical field of new energy vehicles, in particular to a multi-working-condition energy management method and system for a hybrid chariot, and the method comprises the steps: determining a corresponding working condition weight coefficient through obtaining the altitude, environment temperature and road condition data in real time, and the real-time working parameters of three power sources, namely an engine, a fuel cell and a lithium battery, so as to achieve the multi-working-condition energy management of the hybrid chariot; the system constructs a multi-objective optimization model based on the data to realize comprehensive fuel consumption minimization, lithium battery SOC balance and lithium battery life protection, and the model comprises establishment of a power source efficiency parameter mapping relation, determination of a corresponding relation between lithium battery power and cycle life, and construction of a membership function of an optimization objective. By adopting a method of combining Pareto local optimization and fuzzy evaluation, the optimal power distribution proportion among the engine, the fuel cell and the lithium battery is calculated, the overall efficiency of the hybrid chariot is effectively improved, and the service life of the hybrid chariot is effectively prolonged.

The invention discloses an unmanned aerial vehicle hybrid power system configuration optimization method based on a self-adaptive genetic algorithm, and the method comprises the following steps: S1, determining an unmanned aerial vehicle flight platform and collecting task parameters of an unmanned aerial vehicle, the task parameters of the unmanned aerial vehicle comprising flight duration, load capacity W and task environment parameters, recording power consumption of the unmanned aerial vehicle in different flight stages; s2, establishing an unmanned aerial vehicle energy consumption mathematical model, and calculating the total energy consumption of the unmanned aerial vehicle in each flight stage; s3, constructing an optimization objective function of the hybrid power supply of the unmanned aerial vehicle; and S4, performing optimization according to the target function, and outputting an optimal hydrogen fuel cell proportion to enable the target function to be minimum. By optimizing the power distribution proportion of the hydrogen fuel cell and the lithium battery and combining the efficient global optimization capability of the adaptive genetic algorithm, the power supply configuration is dynamically adjusted, and the cruising ability and the energy utilization efficiency of the unmanned aerial vehicle are remarkably improved.

A drive system for a hybrid or electric vehicle that includes a transmission with four forward and four reverse gears. The transmission optionally includes a first and a second planetary gearset, and optionally a first and second range selector assembly. The range selector assemblies may include a clutch and a brake, and / or a synchronizer. The drive system may include a single electric motor with any example of a transmission of the present disclosure, or multiple electric motors individually driving separate transmissions. The motors may be arranged upstream or downstream of portions of a transmission, and they may be aligned parallel with or perpendicular to a drive axle, input shaft, output shaft, and any suitable combination thereof. An internal combustion engine may be included as well.

The invention provides a power generation control method and device for an extended-range hybrid power loader. According to the scheme, the current working mode of the range extending type hybrid power loader is determined according to the real-time operation parameters and the driving operation information; the current working mode of the range extender is determined according to the current working mode of the range-extended hybrid power loader and the charge state of the power battery, and the current required power generation power of the range extender is determined based on the current working mode of the range extender, the required power of the range-extended hybrid power loader and the charge state of the power battery; according to the current required power generation power of the range extender, a preset range extender output electric power curve and a preset engine fuel efficiency characteristic curve, the target rotating speed of a generator and the target torque of the engine are determined, and according to the current working mode of the range-extended hybrid power loader, the target rotating speed of the generator and the target torque of the engine; and controlling the operation states of the engine and the generator. According to the scheme, the problem of low energy efficiency of an extended-range hybrid power loader is solved.

The invention provides a hybrid vehicle energy management method, device and equipment and a medium, and the method comprises the steps: obtaining the real-time traffic information and configuration information of a vehicle, and calculating the demand power and demand torque of the vehicle according to the real-time traffic information and configuration information; calculating energy consumption of the battery according to the battery remaining capacity, the capacity information and the temperature information to obtain energy consumption information of the battery; power parameters of the vehicle are obtained, and the actual power and the actual torque of the vehicle are calculated according to the energy consumption information and the power parameters; actual energy consumption of the vehicle is calculated according to the actual power and the actual torque, and an energy distribution strategy is made according to the actual energy consumption; and constructing a dynamic programming algorithm to perform power distribution on an engine and a motor of the vehicle according to the energy distribution strategy. According to the technical scheme of the embodiment, through real-time interaction of the Internet of Vehicles, the vehicle can complete efficient energy distribution according to the processing information, and energy consumption and environmental pollution of the hybrid power vehicle are reduced.

The invention discloses a power supply method and a power supply system for on-line monitoring equipment of a lightning arrester, and the method specifically comprises the steps: activating a multi-source energy module according to a preset priority order based on the operation state and environment parameters of the lightning arrester, and supplying power to the on-line monitoring equipment; based on the output characteristics of the multi-source energy module and the residual electric quantity of the on-line monitoring equipment, a constant voltage-constant current hybrid power supply strategy in a conventional mode or an anti-interference power supply strategy in an abnormal mode is executed on the on-line monitoring equipment; and processing the historical leakage current, environmental temperature and humidity and vibration spectrum characteristics of the lightning arrester acquired by the online monitoring equipment through the LSTM prediction model, predicting the energy supply trend of the online monitoring equipment in the preset future time, and dynamically adjusting the working parameters of the online monitoring equipment according to the energy supply trend. According to the invention, stable power supply of the lightning arrester on-line monitoring equipment in a complex environment is realized, and the power supply reliability and the equipment availability are improved.

The invention relates to a ship hybrid power energy management method and device, ship equipment and a medium, and belongs to the technical field of energy management.The ship hybrid power energy management method comprises the steps that operation data of a hybrid power ship are obtained, and a hybrid power ship model is constructed based on the operation data of the hybrid power ship; the operation cost and the pollutant discharge cost of the hybrid power ship are calculated based on the hybrid power ship model, and the comprehensive cost is determined based on the operation cost and the pollutant discharge cost; according to the method, the minimum comprehensive cost is taken as an objective function, constraint conditions are set, and parameters of the hybrid power ship model are optimized by adopting a particle swarm optimization algorithm, so that energy management of the hybrid power ship is realized, and optimal energy utilization is realized.

A global energy management optimization method in multi-task cross-core deployment for hybrid electric vehicles, belonging to the technical field of hybrid electric vehicle energy management, which is capable of solving the problem that conventional hybrid electric vehicles cannot realize global energy management at a vehicle end; through adopting the present invention, the problems relating to the failure of timely achieving global energy management for hybrid electric vehicles, poor vehicle speed performance and driving safety caused by the high difficulty of effectively connecting and deploying different computing tasks of global energy management are solved; a multi-core heterogeneous controller is used to perform multi-task deployment, which solves the problems caused by one type of tasks requiring high computing power but low real-time response while another type of tasks requiring low computing power but high real-time response, ensures the efficient utilization of control chips of the hybrid transmission.

The invention discloses a direct-current power transmission receiving end and a direct-current power transmission system. The direct-current power transmission receiving end comprises an inverter circuit and a receiving end transformer; the inverter circuit comprises a hybrid power grid commutation converter and a modular multi-level converter; a direct current first end of the hybrid power grid commutation converter is used for connecting a direct current power transmission line, a direct current second end of the hybrid power grid commutation converter is connected with a direct current first end of the modular multilevel converter, and an alternating current end of the hybrid power grid commutation converter is connected with a receiving end alternating current bus through a corresponding receiving end transformer; the direct current second end of the modular multilevel converter is grounded, and the alternating current end of the modular multilevel converter is connected with the receiving end alternating current bus through the corresponding receiving end transformer. In the embodiment of the invention, the hybrid power grid commutation converter and the modular multi-level converter which are connected in series are used at the direct-current transmission receiving end, so that the direct-current transmission receiving end has direct-current side fault ride-through capability and alternating-current side fault ride-through capability.

The invention provides a gear switching method, a vehicle and a storage medium, the method is applied to the technical field of hybrid power control, and the method comprises the steps that in the process that the vehicle runs based on a direct drive mode, if it is determined that the vehicle needs to switch gears, the whole vehicle driving power corresponding to the direct drive mode and the discharging power of a power battery are determined; based on the whole vehicle driving power, the discharging power and the gear change state of the vehicle, a target torque reduction gradient is determined; based on the target torque reduction gradient, the actual torque of the engine is controlled to be reduced to the target torque; and under the condition that the actual torque of the engine is equal to the target torque, the clutch is controlled to be in an open state, so that the vehicle is shifted under the condition that the clutch is in the open state. The method can ensure that the power is not interrupted in the vehicle gear shifting process, the vehicle stability is improved, and the user driving experience is improved.

The invention discloses a fuel cell ship distributed dynamic power distribution method based on autonomous frequency division. The method comprises the following steps: establishing a fuel cell ship multi-electric hybrid power system model taking a fuel cell, a lithium battery, a super capacitor, a DC / DC converter and a ship as loads; based on a fuel cell ship multi-electric hybrid power system model, distribution of dynamic ship load power in different power supply units of a fuel cell, a lithium battery and a super capacitor is realized by adopting a hybrid droop control method of virtual impedance, and charge state equalization of a parallel lithium battery pack is realized based on a charge state equalization method of adaptive droop control; according to the invention, ship dynamic load power can be autonomously distributed according to power units with different characteristics, balance of the charge state of the parallel lithium battery pack and stable control of the direct current bus voltage are realized, and meanwhile, distributed control is adopted, so that the communication pressure among the units is reduced.

The invention provides a shaft power generation and energy storage hybrid power efficiency optimization system for a container ship under multiple working conditions, which is applied to the field of ship energy management, and comprises a working condition strategy module, a fluctuation suppression module and a power distribution module, the working condition strategy module is electrically connected with ship radar navigation equipment and a ship identification system receiver, and the fluctuation suppression module is electrically connected with the ship identification system receiver. The power distribution module is electrically connected with a ship power grid load detector, a main engine rotating speed sensor and an energy storage charge state sensor; according to the invention, by cooperatively regulating and controlling the output power of the main engine shaft power generation equipment, the auxiliary power generation equipment and the composite energy storage equipment, a high-efficiency power calling mechanism for a ship power grid is constructed, so that under the complex ship working condition information, the safety redundancy and reliability of power supply are improved, the utilization efficiency of electric energy is improved, and the energy consumption is reduced. And the fuel consumption is reduced, so that the comprehensive target of energy conservation and emission reduction is achieved.

A chainless hybrid electric bicycle includes a bicycle body. A generator, a battery pack, a driving motor and a manual switch are mounted on the bicycle body. The generator is coaxially mounted with the pedal transmission unit, so that the generator generates an electric power when the rider works the pedals. The battery pack is electrically connected to the generator for storing the electric power generated by the generator. The driving motor drives the wheels of the bicycle body to run. The rider selects the electric power from the generator or the battery pack through the manual switch to drive the driving motor to run, which in turn drives the bicycle body to move forward. The chainless hybrid electric bicycle has the advantage of a hybrid power drive system, without using traditional mechanical transmission components such as chains and chainrings.

The invention discloses a new energy automobile hybrid power system cooperative control device and method.The new energy automobile hybrid power system cooperative control device comprises a multi-source data collection module, a cooperative control center and an execution unit, and the multi-source data collection module transmits collected information data to the cooperative control center; the cooperative control center comprises a data fusion unit, an energy management module, a heat management module and a cooperative decision-making unit, the data fusion unit receives data information of the multi-source data acquisition module, carries out fusion processing, and transmits the data information to the energy management module and the heat management module; the energy management module and the heat management module output a control strategy to the collaborative decision-making unit, and the collaborative decision-making unit judges a correction strategy and then sends a control instruction to the execution unit. The method has the advantages that cooperative control of energy management and heat management is achieved, various dimension data of road conditions, driving behaviors, power states and heat source states are fused, the problem of system unbalance caused by single module optimization is solved, and dynamic cooperation of energy management and heat management is achieved.

The invention relates to a fuel cell vehicle energy management strategy optimization method facing working condition demands. The method comprises an equivalent factor iteration updating module, a current moment working condition identification module, a future time domain working condition demand prediction module and a power system execution module. Based on current working condition identification classification and demand working condition prediction in a future time domain, equivalent factors are updated from historical and future dimensions, optimal control sequence distribution of the hybrid power system power is obtained by using an F-AECMS algorithm based on the instantaneous local optimization advantage of a Pontryagin minimum principle, and the optimal control sequence distribution of the hybrid power system power is obtained. Energy management of the fuel cell automobile is achieved, and the optimality and working condition adaptability of an energy management strategy are effectively improved.

The unmanned aerial vehicle hydrogen-electricity hybrid power system comprises a vehicle body, a hydrogen fuel cell system, a power cell system and an energy management system are arranged in the vehicle body, and electric energy output by the hydrogen fuel cell system and the power cell system supplies power to a motor through the energy management system; the motor controls the spiral blades, the rotating speed of the motor is independently adjusted, and the posture and movement of the unmanned aerial vehicle are controlled by changing the direction and size of the lifting force; the energy management system is used for performing energy conversion during air speed change and braking of the unmanned aerial vehicle, converting mechanical energy into electric energy, inputting the electric energy into the power battery system, and meanwhile, converting the electric energy to judge whether the unmanned aerial vehicle has a high-power energy supply demand currently so as to adjust energy supply; according to the invention, the service life of the galvanic pile monomers can be prolonged, so that the service life of the hydrogen-electricity hybrid power system module can be prolonged; according to the energy management method, unnecessary energy loss is reduced, and the endurance time of the unmanned aerial vehicle is further prolonged.

The invention relates to the technical field of hybrid power mine cars, and discloses an operation control method and system for a hybrid power mine car, and the method comprises the steps: obtaining battery SOC data of the mine car in real time, and comparing the battery SOC data with a preset SOC working interval, so as to execute a corresponding range extender control instruction; acquiring various working condition parameter data of the mine car in real time to determine the current mine car working condition; determining required generated power according to the working condition of the mine car, and dividing the required generated power into charging required power and driving required power based on a preset distribution strategy; an energy recovery strategy is executed based on a brake signal of a mine car detected by a brake sensor so as to improve the energy utilization efficiency. Through intelligent management of the SOC of the battery, the service life of the battery is prolonged, and the safety of the battery is improved; a braking energy recovery mechanism is applied, so that the energy utilization efficiency is enhanced; and through a power distribution strategy based on working conditions, the operation performance of the vehicle is improved.

Online electrochemical impedance spectroscopy (EIS) circuitry and methods. For mobile installations, such as in a hybrid or electric vehicle, battery management units or battery management systems having EIS circuits can provide additional data regarding the state, health and potential failure of batteries. New topologies for the EIS circuitry are proposed, allowing voltage controlled and current controlled EIS to be performed.

The invention discloses a multi-target dynamic optimization hydrogen energy unmanned aerial vehicle energy management method and system under an MPC framework, belongs to the technical field of energy management, comprehensively considers factors such as energy consumption, battery degradation and output fluctuation, and realizes safe and efficient operation of a hybrid power system based on a predictive control idea. The management system comprises a sensing subsystem, a control subsystem, an interaction subsystem and a power supply subsystem. The management method comprises the following specific steps: adjusting a predictive control time domain according to a historical demand power sequence; updating the aging parameter of the hydrogen fuel cell, and fixing the weight coefficient of the cost function; through a multi-target online optimization algorithm, obtaining an optimal SOC change curve under a prediction time domain; and outputting the reference power of the fuel cell through linear MPC control according to the reference change curve.

The invention discloses a hybrid power engineering machinery control method and system based on operation load identification, and belongs to the technical field of engineering machinery. Target torque of a driver and predicted torque of a hydraulic pump at the target moment are calculated; calculating a torque difference value; based on a fuzzy control algorithm, considering the optimal fuel consumption torque interval of the engine and the optimal efficiency torque interval of the ISG motor, and determining the target torque of the engine and the target torque of the ISG motor according to the target torque of the driver, the difference value between the target torque of the driver and the predicted torque of the hydraulic pump and the SOC of the battery; and jointly controlling the pressure of the hydraulic pump by using the target torque of the engine and the target torque of the ISG motor. The method has the advantages that the operation load prediction model is built through Markov, the operation load at the future moment is predicted, the driver target torque and the difference value of the two torque are introduced, the torque distribution fuzzy controller of the engine and the ISG motor is built by considering the SOC state of the battery, and the target torque of the engine and the ISG motor is dynamically adjusted.

The invention discloses a hybrid power AMT gear shifting control method and system, and relates to the technical field of vehicle gear shifting. The method comprises the steps that whether a transmission meets gear shifting conditions or not is judged according to driving information; determining a target gear value according to the current vehicle state; the power source output torque is gradually reduced according to the target gear value; gear picking operation is carried out through an actuator; adjusting the rotating speed of the motor according to the rotating speed difference of the actuator; controlling the transmission to engage a gear according to the target gear value; and gradually restoring the power source output torque according to the target torque value. According to the technical scheme, high-precision control over the rotating speed of the motor of the commercial vehicle can be achieved, the gear shifting success rate of the hybrid power AMT system can be effectively increased, and high application value is achieved.

The invention provides a series-parallel hybrid power tractor driving system. The series-parallel hybrid power tractor driving system comprises an engine, a P1 motor used for generating electricity or starting the engine, a PS motor used for independent or coupled driving and a series-parallel hybrid power tractor transmission system. The invention further provides a control method of the driving system. Confluence and diversion of engine power and speed change of the tractor are controlled through the P1 motor, the PS motor, the rotating speed coupling mechanism, the torque coupling mechanism, the clutch and the brake. According to the series-parallel connection type hybrid power tractor driving system, a multi-mode driving mode can be achieved to adapt to operation in a complex environment, the dynamic property and economical efficiency of a tractor are improved, and the series-parallel connection type hybrid power tractor driving system has the advantages of interval stepless speed change, precise control and the like.

A hybrid electric aircraft equipped with gyroscopic stabilization control is provided. In one aspect, a hybrid electric aircraft includes a turbo-generator having a gas turbine engine and an electric generator operatively coupled thereto for generating electrical power. The turbo-generator defines a rotation axis. The aircraft also includes one or more electrically-driven propulsors for producing thrust for the aircraft. In addition, the aircraft includes a pivot mount operatively coupled with the turbo-generator. To provide gyroscopic stabilization control of the aircraft, the pivot mount is controlled to adjust the rotation axis of the turbo-generator relative to a prime stability axis of the aircraft. Additionally or alternatively, a rotational speed of the turbo-generator can be changed to provide gyroscopic stabilization control of the aircraft.

The power plant can have a structure; an output shaft connectable to a load, the output shaft rotatable about an axis relative the structure; a thermal engine secured to the structure, the thermal engine having a thermal engine shaft; an electric motor having a stator and a rotor shaft, the stator secured to the structure; an epicyclic gearing having a sun gear coaxial to a ring gear, a plurality of planet gears meshed between the sun gear and the ring gear, and a carrier coaxial to the sun gear and to the ring gear, the sun gear, carrier, and ring gear being rotatable relative the casing structure, the output shaft and the rotor shaft both coupled to the carrier, and the thermal engine shaft coupled to sun gear and the carrier; and an overrunning clutch operable to prevent the rotation of the ring gear in one angular direction.

The invention provides an RNN-A-ECMS diesel-electric hybrid power ship energy control method considering battery life attenuation. The method comprises the steps that a diesel-electric hybrid power ship model is established; an optimized energy management strategy based on a PMP algorithm, wherein the optimized energy management strategy comprises a PMP energy management strategy considering optimization of battery life attenuation; a self-adaptive multi-target energy management strategy based on an RNN recurrent neural network comprises an online energy management strategy combining the RNN recurrent neural network and an A-ECMS self-adaptive equivalent fuel consumption minimum energy management strategy, training of a prediction model RNN recurrent neural network of a battery charge condition SOC reference trajectory, and optimization of control parameters by combining a PSO algorithm and a PMP algorithm. According to the method, the hamiltonian function is improved by establishing the battery semi-empirical life loss model, adding the penalty factor related to the battery life in the PMP energy management strategy and fully considering the influence of the battery output current rate on the battery life loss, so that the multi-objective optimization of the battery life attenuation and the fuel consumption of the diesel engine set is realized.