1618 results about "Hybrid power" patented technology

The invention discloses a TCM-mode-based Si-SiC hybrid power multi-phase staggered H-bridge converter structure and a control method thereof, according to the scheme, a three-phase staggered parallel topology of a two-phase low-frequency Si-IGBT bridge arm and a one-phase high-frequency SiC-MOSFET bridge arm is adopted, and a TCM control strategy is combined, so that zero voltage switching (ZVS) of a Si device is successfully realized, the switching loss is remarkably reduced, and the switching efficiency is improved. The system efficiency is greatly improved; and meanwhile, through pilot frequency interleaving and ripple compensation technologies, total output current ripples are greatly reduced, and optimal balance between system performance and manufacturing cost is realized while the power capacity of the converter is remarkably expanded and the dynamic response speed and the output electric energy quality are improved.

The invention belongs to the technical field of power supply and distribution, and particularly relates to a hydrogen-lithium hybrid power supply multi-mode uninterruptible power supply system, a control method and a storage medium, and the system comprises a hydrogen energy power supply vehicle, a lithium battery energy storage unit, a power conversion subsystem PCS, a voltage phase tracking module, a static change-over switch STS and a control unit. According to the invention, through cooperative work of the lithium battery and the hydrogen fuel cell, millisecond-level rapid switching during commercial power failure is realized, continuity of load power supply is ensured, and the problem of starting delay of a traditional hydrogen energy system is solved. Intelligent cooperative control of hydrogen energy and lithium batteries is realized according to different scenes, energy distribution is optimized, and the operation efficiency and stability of the system are improved. The control unit monitors the operation state of each part of the system in real time, calculates the dynamic efficiency and grid-connected / off-grid stability control quantity of the system, generates a control signal according to the dynamic efficiency and the grid-connected / off-grid stability control quantity, coordinates the work of each part, and ensures that the system can operate efficiently and stably in various operation modes.

An AI-connected-electrified (ACE) heavy truck system equipped with an intelligent multi-mode hybrid (iMMH) powertrain system and a vehicle supervision control strategy based on machine learning (ML) or reinforcement learning (RL) paradigm are presented. This system ensures industry-leading power and braking performance of the ACE heavy truck while automatically optimizes both energy saving and emission reduction based on the vehicle's dynamic driving data and 3D electronic map information of roads for any transport event. In this application, the conventional analog electronic control (AEC) method is replaced by a novel digital pulse control (DPC) method on the instantaneous power function of the engine. The DPC method converts the complex surface working conditions of the AEC engine of the hybrid vehicles into simpler pre-defined working condition lines of the DPC engine. Consequently, the multi-variable nonlinear technical problem of simultaneously optimizing real driving environment (RDE) fuel consumption and pollutant emissions of the ACE heavy truck is simplified into two decoupled quasi-liner optimization problems, and ensures the reduction of on-vehicle computing resources for real-time AI inference computation and the improvement of the optimal performance, the convergent rate, and the robustness of the corresponding fuel-saving algorithm for the trained ML model or the learned RL model. Ultimately, the ACE truck achieves in the engineering sense the global minimum RDE fuel consumption and pollutant emissions meeting the standard consistently at high performance to cost ratio for any transport event and the RDE fuel consumption is decoupled from the vehicle configuration parameters and the human driver.

The invention relates to the field of vehicle control, and particularly discloses a tractor hybrid power cooperative control method, system and device and a medium, and the method comprises the steps: collecting state parameters of a whole vehicle, an agricultural implement and a power system in real time, employing a fusion rule and a real-time optimized energy management strategy to analyze an operation mode, and calculating an initial power distribution target; dynamic coordination is carried out by taking optimal system efficiency and battery state maintenance as targets, smoothness verification and closed-loop feedback correction are carried out on an output instruction, and a final control instruction is generated, issued and executed; the system correspondingly comprises a perception analysis module, a decision making module, a coordination verification module, an execution module and a learning evolution module. By constructing full-link closed-loop control, self-adaptive dynamic optimization and reliable cooperation of the power system are achieved, the online learning ability is achieved, the problems that in a traditional method, control is extensive, response is delayed, and self-adaptability is lacked are effectively solved, and the operation economical efficiency, smoothness and long-term adaptability of the tractor are improved.

The invention discloses an extended-range hybrid power system and a control method therefor, and a crane, and belongs to the technical field of construction machinery. The extended-range hybrid power system comprises a power battery, an all-in-one controller, a first motor, a second motor and an engine, wherein the first motor is connected to a lower traveling mechanism; the engine is connected to the second motor, and the second motor is connected to an upper operating mechanism; the power battery, the first motor and the second motor are connected to the all-in-one motor, and the all-in-one motor is connected to an external power supply.

A hybrid system for use with utility vehicles includes an electric motor including an output shaft and a conductor configured to alternatively receive power from or send power to an electrical power source. The hybrid system includes an internal combustion engine, a first pulley connected to and rotated by the internal combustion engine, and a clutch mechanism. The clutch mechanism includes a ratchet connected to the output shaft of the electric motor to rotate at a first rotational speed, a pawl carrier driven by the internal combustion engine to rotate at a second rotational speed, and one or pawls coupled to and configured to rotate with the pawl carrier. The one or more pawls are configured to be disengaged from the ratchet when the first and second rotational speeds differ and engaged with the ratchet when the first and second rotational speeds are equal.

The invention discloses a hybrid power vehicle collaborative thermal management method and system based on energy flow intelligent perception. The method comprises the following steps: sensing and predicting multi-dimensional energy flow characteristics of an engine in real time through a pre-trained time sequence neural network model; the predicted value is used as a feedforward signal, real-time temperature feedback of the power battery is combined, and a thermal management cooperative control instruction is generated through feedforward-feedback cooperative decision logic; and finally, a heat exchange path between the engine cooling system and the battery heat management system and respective execution mechanisms are dynamically adjusted, so that prospective active cooperative temperature control is realized. The problems of passive response, control delay and low energy efficiency of an existing thermal management system are solved, and accurate and efficient two-way optimization management of the thermal states of the engine and the battery is achieved.

The invention belongs to the technical field of electric overhead working trucks, and provides a narrow-body self-walking working platform with a hybrid power system, which comprises a walking platform, a working device and a control system. The walking platform adopts a narrow-body four-wheel-drive chassis and is provided with a hybrid power system of a fuel engine and an electric pump, and the control system integrates an environment sensing unit, a stability calculation unit, a track prediction unit, an early warning unit and a control decision unit. The environment sensing unit constructs a high-precision three-dimensional environment map; the stability calculation unit calculates the overall gravity center position and the dynamic stability boundary of the platform in real time; the track prediction unit establishes a dynamic hydraulic system response model; and the early warning unit adopts an artificial potential field method to calculate a safety avoidance path. And the control decision unit automatically adjusts the control instruction according to the risk type and degree. According to the invention, the organic combination of environment perception, dynamic stable control, prediction trajectory planning and electrified body safety protection is realized, and the operation safety and efficiency of the aerial work platform are obviously improved.

The invention discloses a heavy truck power-interruption-free hybrid power system and a control method thereof. The heavy truck power-interruption-free hybrid power system is provided with an engine, a clutch, a P2 motor, a P2.5 motor and a gearbox. A gearbox input inner shaft is axially arranged on the gearbox, a P2 motor driven wheel is arranged on the gearbox input inner shaft, and the engine is connected with the gearbox input inner shaft through a clutch; a P2 motor driving wheel is arranged in the axial direction of the P2 motor, and a P2 motor clutch is arranged on the P2 motor driving wheel; and the gearbox is a gearbox with uninterrupted power. A P2 + P2.5 dual-motor framework is adopted, and powerful power output and efficient energy management are achieved through multi-mode switching.

The invention relates to the technical field of ship power system control, in particular to a ship hybrid power management method based on shaft power generation and lithium battery collaboration, which comprises the following steps: acquiring load demand power of a ship power grid, output power of a shaft power generation system, a charge state of a lithium battery system and a rotating speed of a ship main engine in real time; adaptively deciding a current system operation mode; calculating a real-time power difference between the load demand power and the output power of the axle power generation system; generating a target charging and discharging power for the lithium battery system; a safe instruction charging and discharging power is obtained; and controlling the lithium battery system to execute the instruction charging and discharging power, and controlling the axle power generation system to operate according to the target of the current mode. Through precise power scheduling and adaptive switching of system operation modes, the ship power system is ensured to always operate in a state with optimal energy efficiency under different working conditions.

A system performs a method for operating a vehicle. A raw total axle torque request for the vehicle is received at a processor of the vehicle. The vehicle includes a primary axle, one or more electric motors on the primary axle, an engine coupled to the primary axle, a secondary axle, and an additional electric motor on the secondary axle. The processor performs an optimization to determine a primary axle torque target and a secondary axle torque target that meets the raw total axle torque request while locating a value representative of a minimum of an objective cost function for the vehicle, controls the one or more electric motors and the engine at the primary axle using the primary axle torque target; and controls the additional electric motor at the secondary axle using the secondary axle torque target.

The invention discloses a performance simulation calculation method for an aviation hybrid electric power system. The method comprises the following steps: firstly, constructing a sub-component calculation model covering an aerodynamic thermal component, a power generation subsystem, a power conversion and transmission subsystem, a battery subsystem, a motor and an aerodynamic system; establishing a reverse logic calculation framework driven by a load side demand, and realizing hierarchical reverse parameter solution from a load end to a power source end; and establishing a power balance equation at a bus end, carrying out iterative solution by adopting a Newton-Rafson algorithm, and realizing dynamic distribution and coordination control of multi-source energy in combination with an energy constraint module. According to the method, through a reverse solution and bus end balance strategy, the simulation calculation efficiency and convergence of the complex aviation hybrid electric power system are remarkably improved, and meanwhile, the adaptability and expandability of the model to different topological architectures and task profiles are enhanced; and an efficient and high-credibility calculation tool is provided for design, performance evaluation and energy management strategy optimization of the hybrid electric propulsion system of the aircraft.

The invention discloses a heavy truck power split hybrid system assembly and a control method thereof.The heavy truck power split hybrid system assembly is provided with an engine, an engine input shaft is axially arranged on the engine, and a clutch is connected to the engine input shaft; the planet row is provided with a sun gear, a gear ring and a planet carrier, and an engine input shaft is connected to the planet carrier connected with the planet row; the generator is connected with the sun gear of the planet row; the motor is connected to a gear ring of the planet row, and the output of the gear ring is connected with the gearbox; according to the heavy truck power split hybrid power system assembly and the control method thereof, dual motors, a planet row and a few-gear AMT gearbox are integrated, and according to a power split mode, the power of an engine drives a vehicle through mechanical transmission and electric transmission paths; compared with a traditional commercial vehicle power assembly framework, the new energy power assembly framework has the advantages of being high in comfort, less in power interruption, efficient and oil-saving.

The invention relates to the technical field of hybrid power system power distribution, and provides a hybrid power operation platform power distribution method suitable for narrow lane operation. A state acquisition module, a fuzzy preprocessing unit, a particle filter estimation unit, a model prediction control unit and a self-adaptive control unit are designed, vehicle inclination angle, load and wheel speed data are acquired in real time, and terrain uncertainty factors are output through fuzzy logic processing; estimating hidden state variables such as the wheel slippage rate and the energy margin by adopting a particle filtering algorithm; performing multi-stage power distribution optimization by applying a model predictive control technology to realize coordinated control of the diesel engine and the electric pump; and finally, self-adaptive feedback and switching are executed, wherein the power modes are switched according to the uncertainty factors, inclination angle and load safety protection is implemented, and braking energy is recycled. The terrain adaptability, the power distribution precision and the energy utilization efficiency of the working platform in the narrow lane complex environment are effectively improved, and meanwhile the operation stability and the environment friendliness are enhanced.

The invention provides a control system and method for power distribution and power generation control of an extended-range agricultural machine based on intelligent identification of a working road surface and a hybrid tractor. The control system comprises the following steps: identifying a field type by collecting image information of a driving road, calculating required power of a vehicle range extender in a corresponding working scene based on the field type, and controlling a range extender assembly; and adjusting the torque of the driving motor and the driving motor based on the field type, the rotating speed of the driving motor and the vehicle speed. Based on field type recognition and historical working data, accurate distribution of driving force and efficient and stable power generation of the range extender can be achieved, the safety and the service life of a power battery are guaranteed, and the farmland operation efficiency of the tractor is improved.

The invention discloses a control method of a hybrid power vehicle and the hybrid power vehicle. The control method of the hybrid power vehicle comprises the steps that the SOC of a battery pack is obtained; confirming that the vehicle enters a motor driving mode; and controlling the maximum speed of the vehicle according to the SOC of the battery pack. According to the control method of the hybrid vehicle, the probability that the driving force of the vehicle is rapidly attenuated due to the fact that the electric quantity of the battery pack is consumed too rapidly in the low-electric-quantity state can be reduced, and the safety and the driving experience in the vehicle running process are improved.

The invention relates to a primary frequency modulation control method for a pumped storage coupled compressed air energy storage system, and the method comprises the steps: building a frequency modulation control model based on the core component information and operation constraints of the pumped storage coupled compressed air energy storage frequency modulation system, building a state space model, and building a discretization state equation, establishing a comprehensive optimization model by taking the minimum power grid frequency deviation and the system operation cost as targets; and establishing a multi-parameter planning model based on the reservoir level, the gas storage pressure, the frequency deviation and the comprehensive optimization model, and converting a hierarchical model prediction control problem into multi-parameter quadratic programming to form a self-healing frequency modulation strategy to perform power output tracking control. Therefore, the problem that the frequency modulation performance is limited due to the fact that a water pressure system and an air pressure system in the hybrid power station are complex in coupling and large in response difference, and a related linear control strategy or a single control framework is difficult to achieve rapid response and accurate coordination of the hybrid system in the primary frequency modulation process is solved.

The invention discloses a power control method for a hybrid power engineering vehicle and the engineering vehicle. The hybrid power engineering vehicle comprises a range extender system and a power battery. The method comprises the steps that vehicle working condition information and the charge state of a power battery are obtained; determining a current applicable power distribution mode according to the vehicle working condition information and the charge state; the power distribution mode refers to a control strategy for managing the output power of the range extender system and the power battery; and executing a power distribution mode to coordinate the output power of the range extender system and the power battery. Thus, based on the real-time running state and the energy state of the vehicle, the most suitable energy control strategy is dynamically and intelligently determined and executed, it can be ensured that instantaneous power outbreak and long-term fuel consumption economy can be flexibly considered in the vehicle running process, the balance between the power performance and the economy of the whole vehicle is achieved, and the vehicle safety is improved. And the energy management efficiency and the energy utilization level of the whole vehicle are improved.

A refuse vehicle includes a vehicle body on a chassis having a frame, an internal combustion engine (ICE), and a transmission coupling the ICE with a plurality of tractive elements. The vehicle body includes an electrically powered body system and a hydraulically powered body system. A first power module is coupled with the ICE and is configured to provide rotary power to a hydraulic pump that is configured to provide hydraulic power to the hydraulically powered body system. A second power module is coupled with the transmission and configured to rotationally couple and decouple an electrical generator with the transmission. The generator is configured to charge at least one battery when rotationally coupled with the transmission. The battery is configured to provide electrical power to the electrically powered body system.

The embodiment of the invention relates to the technical field of power systems and automation thereof, in particular to an alternating current and direct current hybrid power flow optimization method based on embedded direct current power flexible adjustment, and the method comprises the steps: building an embedded direct current adjustment model based on an embedded direct current power adjustment principle; constructing an AC / DC hybrid system steady-state power flow optimization model comprising a comprehensive evaluation index, a power system operation constraint and a DC operation constraint; an improved particle swarm algorithm is adopted to solve the steady-state power flow optimization model, the improved particle swarm algorithm updates a population through a chaos quasi-opposition strategy and optimizes an inertia weight and a learning factor, and a power flow optimization result is obtained; comparing different embedded direct-current power regulation modes, and verifying the effectiveness of the alternating-current and direct-current hybrid power flow optimization method; according to the method, accurate power flow optimization of the alternating-current and direct-current hybrid system in a new energy output fluctuation and load change scene is realized, and the economical efficiency, the safety and the stability of system operation are improved.

Provided is a hybrid power system. The hybrid power system includes a first clutch, a second clutch, an engine, a first motor, a second motor, and a power output assembly, wherein two ends of the first clutch are respectively connected to the first motor and the engine; two ends of the second clutch are respectively connected to the first clutch and the power output assembly; the second motor is connected to the power output assembly; wherein the first clutch and the second clutch are disposed in a radial direction of an output shaft of the first motor, and the second clutch is disposed on a side, away from the output shaft of the first motor, of the first clutch.

Route planning for a hybrid electric vehicle (HEV) includes obtaining respective engine activation actions for at least some road segments of a route between an origin and a destination by optimizing for at least one of a noise level or energy consumption of an engine of the HEV that is used to charge a battery of the HEV. The HEV is then controlled to follow the at least some of the road segments of the route and to activate the engine according to the respective engine activation actions. Controlling the HEV to follow the at least some of the road segments includes masking at least one of the respective engine activation actions for a current road segment by increasing a volume of an entertainment system of the HEV.

The invention discloses an energy management system of a hybrid power unmanned aerial vehicle, and relates to the technical field of hybrid power unmanned aerial vehicle energy management, comprising the following steps: collecting flight condition parameters of the hybrid power unmanned aerial vehicle in real time; synchronously obtaining energy unit state parameters of the hybrid power unmanned aerial vehicle; generating a power distribution strategy among N power sources in the hybrid power unmanned aerial vehicle; executing the power distribution strategy, predicting the energy of the hybrid power unmanned aerial vehicle, and completing the response and management of the energy. Intelligent coordination and real-time optimization of multi-energy input of the hybrid power unmanned aerial vehicle are achieved, thermal stress and mechanical loss of key components are remarkably reduced, the adaptability to complex or unknown flight scenes is enhanced, and therefore on the premise that the flight safety and task reliability are guaranteed, the flight speed of the hybrid power unmanned aerial vehicle is improved. And cooperative improvement of the endurance performance and the system life is realized.

A system performs a method for operating a vehicle. A raw axle torque request for the vehicle is received at a processor of the vehicle. The vehicle includes a main shaft, one or more electric motors on the main shaft, an engine coupled to the main shaft, a countershaft, and an additional electric motor on the countershaft. The processor performs optimization to determine a primary shaft torque target and a secondary shaft torque target that meet the original shaft torque request while locating a value representing a minimum value of a target cost function of the vehicle, using the primary shaft torque target to control one or more electric motors and engines at the primary shaft; and controlling the additional motor at the countershaft using the countershaft torque target.

A hybrid plug-in battery, rooftop “magazine” type swappable hydrogen tank package, and outboard “magazine” type swappable battery bank Electric Vehicle comprises: 1) a plug-in full electric vehicle; 2) a rooftop “magazine” type swappable hydrogen tank package; 3) a outboard “magazine” type swappable battery bank; wherein the rooftop “magazine” type swappable hydrogen tank package is electrically connected to the battery bank of the plug-in full electric vehicle the second power source, and the outboard “magazine” type swappable battery bank is electrically connected to the battery bank of the plug-in full electric vehicle the third power source, so that the vehicle can be charged by using any existing charging stations through the plug-in full electric vehicle, get energy replenished by exchanging the hydrogen tanks through the rooftop “magazine” type swappable hydrogen tank package, and get energy replenished by exchanging the battery modules through the outboard “magazine” type swappable battery bank.

The invention discloses a heavy-load hydrogen-electricity hybrid power system of an industrial unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicles, the core comprises a fuel cell, a lithium battery pack, a driving motor and three modules, the fuel cell and the lithium battery pack are connected in parallel with the driving motor, and a dynamic variable liquid cooling system is thermally connected with the fuel cell. The intelligent mission profile prediction module and the liquid cooling system are both in signal connection with the thermal-electric collaborative optimization controller, the prediction module receives data such as an air route and weather, simulates a flight state in a future time period through a model, and outputs predicted power and a temperature curve; the liquid cooling system comprises at least two independent heat dissipation partitions and is integrated with a paraffin-based composite phase change material, the optimization controller outputs optimal parameters through a task-adaptive multi-objective optimization function based on a prediction curve and real-time data, and the system is provided with a data acquisition module, a hydrogen supply control module and a fault early warning module to realize data monitoring, hydrogen supply stability and safety early warning. And the load, endurance and reliability are improved.

The invention relates to the technical field of aircraft power control, and discloses a hybrid power coordination control method and system for a vertical fixed-wing aircraft, and the method comprises the steps: obtaining the health state data of a battery module, and evaluating the instantaneous maximum discharge power capability of each battery module according to the data, thereby achieving the hybrid power coordination control of the vertical fixed-wing aircraft. And the overall instantaneous maximum discharge power supply capability of the battery pack is obtained through aggregation. Meanwhile, in combination with flight state information and residual mission profile data of the aircraft, the demand of the future key flight stage for the instantaneous peak power is predicted. By comparing the supply capacity of the battery pack with the future demand, whether the risk of instantaneous power shortage exists can be judged prospectively. When a risk is identified, the method can actively adjust a power distribution strategy of the aircraft, including adjusting cruise parameters, optimizing a vertical landing strategy, and adjusting a battery charging strategy.

Hybrid drive snowmobile comprising an IC engine, a variable speed drive comprising a first pulley connected to a drive shaft of the IC engine, a second pulley and a belt coupled to the first and second pulleys, an intermediate shaft-connected to the second pulley of the variable speed drive, an output shaft connected to the intermediate shaft by a transmission and a drive wheel of a motor track of the snowmobile connected to the output shaft and a reversible electrical machine connected to the intermediate shaft.

This invention provides a hybrid power drive device and a vehicle having the same. The hybrid power drive device includes an engine, a first motor, a second motor, and a compound planetary gear set. The output end of the engine is driven to the motor shaft of the first motor. The motor shaft of the second motor drives the wheels to rotate. A first sun gear meshes with a first planetary gear, and both the second sun gear and the first planetary gear mesh with a second planetary gear. The second planetary gear meshes with a ring gear, and the ring gear is driven to the wheels. A brake controls the operating state of the second sun gear, a first clutch controls the engagement or disengagement of the engine output end with the first sun gear, and a second clutch controls the engagement or disengagement of the engine output end with the planetary carrier. The technical solution provided in this application solves the problem in related technologies where hybrid power drive devices struggle to simultaneously achieve efficiency and compactness across multiple operating modes, as well as flexible drive switching.

A system and method for a hybrid electric axle. The hybrid electric axle system, in one example, includes an engine interface assembly with a one-way clutch that is rotationally coupled to an input shaft and a gear shaft in a gear set that is rotationally coupled to a differential and a dog clutch configured to selectively rotationally couple the input shaft and the gear shaft in the gear set. The hybrid electric axle system further includes an electric drive assembly including a traction motor that is rotationally coupled to a gear train. In the electric axle system, the gear train is rotationally coupled to the differential and the engine interface assembly and the electric drive assembly are packaged in an axle housing.