2969 results about "Hybrid power" patented technology

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 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 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 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.

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.

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 hybrid power supply power distribution method for an extended-range power supply vehicle, and relates to the technical field of intelligent power distribution, and the method comprises the steps: determining an external power supply demand state of a current extended-range power supply vehicle; determining the current running state of the extended-range power supply vehicle based on the running state of an engine and the real-time rotating speed of a motor of the extended-range power supply vehicle; obtaining the current state of charge of a power supply battery of the range-extended power supply vehicle and the current state of a range extender oil tank; based on the external power supply demand state, the driving state, the power supply battery charge state and the range extender oil tank state, the power supply mode of the range-extended power supply vehicle is determined; predicting a short-term power demand of the extended-range power supply vehicle according to the real-time vehicle speed of the extended-range power supply vehicle and an external power supply load, inputting the short-term power demand into a preset reinforcement learning model, and determining a hybrid power distribution proportion by taking the lowest energy consumption as a target based on a power supply mode; and adjusting the generated power of the range extender and the output power of the power supply battery based on the hybrid power distribution proportion through the hierarchical state machine.

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 discloses a method and a system for testing and evaluating energy consumption of a hybrid power system in a plateau road environment, is used for testing and evaluating energy consumption of a hybrid power system vehicle, and relates to the technical field of energy consumption testing of hybrid power vehicles. Dividing the plateau road into a plurality of working condition segments according to driving working conditions, and recording road features of each working condition segment; obtaining driving behavior characteristics of a driver in each working condition segment, and combining the driving behavior characteristics with the corresponding working condition segments to form a plateau working condition segment pool; and extracting vehicle data corresponding to each driving behavior working condition fragment, and calculating vehicle energy consumption of each driving behavior working condition fragment according to the vehicle data, thereby completing vehicle energy consumption test evaluation.

Provided is a method of operating a hybrid power plant, including energy generating units including a wind park and at least one unit of another type of renewable energy source and including an energy storage system, the method including: creating a power production schedule based on an actual forecast of power production, an actual forecast of energy price and actual hybrid power plant status, the power production schedule including at least scheduled power for points in time in the future; and controlling, during the points in time in the future the energy generating units and the energy storage system based on the power production schedule, the hybrid power plant status at the points in time in the future, in particular energy storage system status, such as to dispatch power according to the power production schedule, but complying with any grid operator reference at the points in time in the future.

The invention provides hybrid power fitness equipment. The hybrid power fitness equipment comprises a tension assembly; the driving motor and the resistance device are matched through a one-way bearing; the tension assembly is in transmission connection with the one-way bearing through the transmission assembly, when the tension assembly is in a first resistance training state, the resistance device and the driving motor are in transmission connection with the one-way bearing, and the resistance device provides resistance for tension resistance; when the tension assembly is in the second resistance training state, the resistance device and the driving motor are in transmission connection with the one-way bearing, and the resistance device and the driving motor jointly provide resistance for the tension assembly; when the tension assembly is in a tension recovery state, the driving motor is connected with the one-way bearing to provide recovery force for the tension assembly, and the recovery force and resistance are provided on the premise of low-cost improvement by using the resistance device and the driving motor at the same time. The contradiction between the one-way resistance experience bottleneck of a resistance training assembly in the prior art and the cost of traditional two-way force equipment is solved.

A hybrid system for drones and other modes of transport. A combustion engine provides range and / or lifting capacity for drones while electric motors / generators provide both control and maneuverability. One or more combustion engines, in conjunction with one or more electric motors / generators form a propulsion system whereby each is connected to and drives its own driving pinion in one or more planetary gear sets, and provide continuously variable transmission for driving propellers or driveshafts. The combustion engine may be connected directly to one of the planetary gear's driving pinions, or can drive one of the planetary gear's driving pinions. If the propellers are only driven by either a combustion engine, or an electric motor / generator, the other engine / motor will be kept at rest by a braking device for a combustion engine or a braking device for an electric motor / generator.

The invention belongs to the technical field of aviation hybrid power, and discloses a self-adaptive intelligent power distribution control method for an aviation hybrid power system, which comprises the following steps: constructing a full-dimensional state model through multi-dimensional perception fusion, predicting working condition transition in combination with deep reinforcement learning, and dynamically adjusting a power distribution strategy; the response speed is guaranteed preferentially during emergency takeoff, energy recovery is emphasized during conventional landing, the problem that a traditional distribution mode is disjointed with actual requirements is solved, power output of an engine and a battery better fits the flight working condition, and stable operation can still be achieved in complex environments such as sudden airflow; by introducing digital twinborn rehearsal verification and adaptive robust control, risks of engine overtemperature, battery overcharge and the like are exposed and corrected in advance through virtual simulation, disturbance is dealt with in combination with a'basic + compensation 'power structure, part faults caused by unreasonable power distribution in traditional control are avoided, and the reliability of the system is improved. And the reliability of the hybrid power system in key stages of takeoff and landing is 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.

The invention discloses a power system energy management method and equipment based on hydrogen energy hybrid power, belongs to the technical field of energy management, and is used for solving the technical problems that the random load characteristic of field operation of an existing tractor is complex, and a hybrid power tractor is uneven in ploughing and sowing under the complex terrain operation working condition and the tillage state. The method comprises the following steps: collecting multi-modal data of a farmland environment; performing vehicle speed prediction processing on the tractor under related environment characterization to obtain a dynamic prediction vehicle speed of the tractor; carrying out rolling optimization processing on the dynamic prediction vehicle speed under related output power to obtain the driving demand power of the tractor; and superposing the driving required power and the pre-obtained tillage tool required power to obtain the total required power of the power system, decomposing the required power in a frequency domain according to a formulated variational mode decomposition rule, and endowing the required power to a driving power generation system formed by a fuel cell, a power cell, a hydrogen internal combustion engine and a generator.

The invention relates to a hybrid power supply electric public transportation system charging scheduling optimization method based on reinforcement learning, belongs to the field of urban public transportation operation management, and particularly relates to a hybrid power supply electric public transportation system charging scheduling optimization method. The invention aims to solve the problems of resource redundancy and waste, high operation energy consumption and high operation cost caused by unreasonable resource allocation of the existing electric public transportation system. The hybrid power supply electric public transportation system charging scheduling optimization method based on reinforcement learning specifically comprises the steps of defining a state space; defining an action space; defining a reward function; establishing a multi-target Markov decision model based on the state space, the action space and the reward function; constructing a reinforcement learning network model based on a multi-target Markov decision model; acquiring a data set; training a reinforcement learning network model based on the data set to obtain a trained reinforcement learning network model, and storing parameters; and based on the trained reinforcement learning network model, obtaining a charging scheme of an actual optimization time period.

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 aims to provide a solid hydrogen storage fuel cell underwater vehicle hybrid power system coupled with a water management system, and belongs to the field of hybrid power. According to the invention, the hydrogen fuel cell is combined with a common cell, sufficient, stable and efficient power supply is provided for the underwater vehicle, the limitation of a traditional single energy system in the aspects of cruising ability, power output, energy density and the like is solved, and the comprehensive performance of the underwater vehicle is remarkably improved. A water supply and return integrated circulating water pump is adopted, and efficient and rapid circulation of water inside and outside the underwater vehicle is achieved by integrating water supply and drainage functions. The solid hydrogen storage material is adopted to release hydrogen, one part of hydrogen is conveyed to the fuel cell and participates in reaction to provide power output needed by the underwater vehicle, the other part of hydrogen is recycled and assists the hydrogen storage material in injection, and the underwater closed circulation mode of the underwater vehicle is achieved. And efficient operation and effective utilization of energy are ensured.

The embodiment of the invention provides an intelligent electric precipitation system. The intelligent electric precipitation system comprises a power management module, a working condition sensing module, a dynamic optimization module and a cooperative control module, the power supply management module comprises a high-frequency power supply unit and a power-frequency power supply unit, and the high-frequency power supply unit adopts a full-bridge series-parallel hybrid resonance circuit; the working condition sensing module is configured with a distributed sensor network; the dynamic optimization module establishes a multi-objective optimization model; the cooperative control module realizes a four-level control architecture; the system realizes optimal balance of dust removal efficiency and energy consumption by collecting working condition parameters in real time and dynamically adjusting working parameters of a power supply. According to the intelligent electric dust removal system, through a hybrid power supply framework, a multi-sensor network and four-stage cooperative control, the dust removal efficiency is improved, and the equipment reliability and the intelligent level are improved.

The invention discloses a rescue material transportation following robot based on oil-electric hybrid power and a control method, and aims to solve the problems of endurance, carrying and energy complementation of a pure electric rescue material following robot under the conditions of long-time heavy load, complex terrain and inconvenience in charging. The method comprises the following steps: acquiring multi-source state, motion and environment data, and predicting a power demand; dynamically selecting a pure electric charging mode, a range extending charging mode, a parallel charging mode or a parking charging mode; and generating parallel power and a motion instruction to drive the robot to follow operation. The system comprises a hybrid power unit, a following positioning module, an environment sensing module, a main controller, an energy management unit, a motion control unit and a driving execution unit. The problems of endurance and energy complementation of the pure electric robot are effectively solved, the operation continuity, the environment adaptability, the carrying efficiency and the man-machine cooperation safety are remarkably improved, and the system energy efficiency is optimized.

Methods and systems for performing a formation pressure test include inserting a bottom hole assembly (“BHA”) into a wellbore. The BHA includes a drill bit and a formation testing tool with a battery and a fluid powered generator. An initial formation pressure test is performed while powering the formation testing tool with the fluid powered generator during the entire initial test. At least a portion of a formation pressure test is performed powering the formation testing tool with the battery during while the fluid powered generator is unavailable due to insufficient fluid circulation in the wellbore. The method also includes determining, using a processor, at least one characteristic of the formation based on results of the initial formation pressure test and the formation pressure test.

A hybrid-electric aircraft propulsion system includes a gas turbine engine and an electrical assembly. The gas turbine engine includes a first rotational assembly. The first rotational assembly is rotatable about a rotational axis of the gas turbine engine. The first rotational assembly includes a first shaft, a bladed first compressor rotor, and a bladed first turbine rotor. The first shaft interconnects the bladed first compressor rotor and the bladed first turbine rotor. The electrical assembly includes a first motor-generator, a first motor control unit, a motor-generator (MG) cooling system, and a motor control unit (MCU) cooling system. The first motor-generator is coupled to the first shaft. The first motor control unit is electrically connected to the first motor-generator. The MG cooling system is connected in fluid communication with the first motor-generator. The MCU cooling system is connected in fluid communication with the first motor control unit. The MCU cooling system is independent of the MG cooling system.

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 relates to a methanol internal combustion engine high-temperature fuel cell hybrid power system based on double-path waste heat gradient utilization. The invention relates to the technical field of internal combustion engine waste heat recovery and new energy power system integration. The system comprises a fuel tank, a first pump body, a heat exchanger, a methanol internal combustion engine, a turbine, a gas compressor, an air compressor, a reformer, a high-temperature proton exchange membrane fuel cell, an evaporator and a second pump body. A methanol-water vapor mixture generated by heat exchange of a mixed solution of methanol and water and a high-temperature fuel cell stack coolant in a heat exchanger is introduced into a reforming reactor and is subjected to catalytic reforming to produce hydrogen by utilizing waste heat of high-temperature tail gas of an engine, and the produced hydrogen is directly supplied to an anode of a high-temperature fuel cell. Through a double-path methanol distribution strategy, collaborative design of internal combustion engine waste heat recovery, electric pile heat management and reforming hydrogen production is realized, and the comprehensive energy efficiency of the system is improved.

The invention relates to the technical field of energy distribution, and discloses an energy distribution method and device of a hybrid power distribution system and the hybrid power distribution system.The method comprises the steps that the power-on ignition state of a vehicle, the charge states of a 48V storage battery and a 12V storage battery and the power load of a load end are obtained; determining the current hybrid power distribution management strategy as a quiescent current management strategy, a power management strategy or a load level-to-level management strategy according to the power-on ignition state of the vehicle; and based on the current hybrid power distribution management strategy, adjusting the power supply modes of the DCDC, the 48V storage battery and the 12V storage battery to the load end according to the charge state and the power load, and performing hierarchical dynamic management on the load end. According to the invention, a comprehensive power supply strategy of hierarchical energy distribution management, load hierarchical dynamic adjustment and static current management can be established, the power supply mode is accurately and flexibly adjusted, the load is flexibly controlled, and stable power supply is provided for the load, so that the power consumption of the whole vehicle is finely adjusted and reduced, and the optimal utilization of the energy of the whole vehicle is realized.

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.

The invention provides a mode 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 under the condition that a control instruction for switching a driving mode of the vehicle from a direct driving mode to a series connection mode is received, the direct driving mode is switched to the series connection mode; the method comprises the following steps: determining the discharge power of a power battery of a vehicle and the whole vehicle driving power of the vehicle, determining a target interval where the whole vehicle driving power is located based on the discharge power of the power battery and the whole vehicle driving power, determining a target torque reduction gradient corresponding to the target interval, and then determining the torque reduction speed of the vehicle based on the target torque reduction gradient. And 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 driving mode of the vehicle is switched to the series connection mode from the direct drive mode. According to the method, the torque can be reduced gently, and power interruption caused by the fact that the engine torque is directly reduced to zero is avoided.

The invention discloses a whole vehicle power hardware-in-the-loop simulation test system and method under a P2.5 + P4 hybrid architecture. The whole vehicle power hardware-in-the-loop simulation test system comprises a controller, a test cabinet and an upper computer system, the hybrid power gearbox control system is electrically connected with the high-voltage control system; the test cabinet is electrically connected with the hybrid power gearbox control system, the high-voltage control system and the upper computer system; the upper computer system comprises a management module, a signal interface module, a controller interface module and a virtual simulation vehicle module, the management module is connected with the test cabinet and the signal interface module, and the signal interface module is used for realizing signal interaction between the controller interface module and the management module; the controller interface module is connected with the signal interface module, the Soft ECU module and the power simulation module. Standardized development of the power simulation test system is realized, the modular design supports rapid adaptation of different vehicle type platforms and power architectures, and repeated development is reduced.

The invention relates to a thermal management system of a hydrogen fuel cell hybrid power vehicle. The thermal management system comprises a fuel cell cooling system and a fuel cell thermal utilization system. The fuel cell cooling system is connected with the fuel cell heat utilization system through a heat exchanger; the turbine power generation unit is used for generating electric energy by using heat of the fuel cell cooling system; and the warm air units are arranged in the driver cabin and the passenger cabin and are used for heating by utilizing the heat of the fuel cell cooling system. The fuel cell cooling system and the fuel cell heat utilization system are connected through the heat exchanger, the warm air unit and the turbine power generation unit are arranged in the fuel cell heat utilization system, different working modes are selected according to different working environments, when heating is needed, waste heat of the fuel cell system is fully utilized for heating, and the energy consumption is reduced. When heating is not needed, waste heat is converted into electric energy to be stored through the turbine generator, and the energy efficiency of the fuel cell system is effectively improved.

The invention relates to the technical field of power electronic conversion, and discloses a high-efficiency rectification conversion system and a control method thereof, and the system comprises the following modules: a detection module, an input compatible module, a hybrid power device module, a control module, a thermal management module and a frequency modulation module. The control method comprises the following steps: acquiring input power grid voltage, output current and load state parameters; calculating an input voltage phase difference; dynamically selecting the type and channel configuration of the silicon carbide or gallium nitride power device according to the load rate; outputting a device configuration instruction and a switching frequency control instruction; adjusting the cooling system through the evaluated thermal state of the conversion system; and the control module receives the control instruction output by the control module and is used for implementing a corresponding pulse width modulation strategy. According to the method, a multi-system power grid identification and self-adaptive topology switching strategy is adopted, the technical effect of automatically configuring the optimal rectification architecture under different input types is achieved, and the problems of response delay and poor compatibility of the method in the environment of variable power grid types are solved.