Control method of air-cooled fuel cell power system suitable for aviation

Abstract

The invention relates to a control method and device of an air-cooled fuel cell power system suitable for aviation, a fuel cell controller and a readable storage medium. The method comprises the following steps: receiving target demand power, and determining a target power supply strategy according to the target demand power, lithium battery information of a lithium battery and fuel battery information of a fuel battery; the target power supply strategy is used for indicating the lithium battery and / or the fuel cell to supply power to the unmanned aerial vehicle. By adopting the method, the safety of the battery control method can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of unmanned aerial vehicles, and in particular to a control method and device for an air-cooled fuel cell power system applicable to aviation, a fuel cell controller, a readable storage medium, and a computer program product. BACKGROUND

[0002] With the development of science and technology, the application field of unmanned aerial vehicles is continuously expanding, and different types of unmanned aerial vehicles have appeared. However, for any type of unmanned aerial vehicle, the battery is the most important device. Moreover, the battery control method is needed to control the battery to supply power to the unmanned aerial vehicle.

[0003] The current battery control method receives a target demand power, and determines a target output power of a fuel cell according to the target demand power and a maximum output power of the fuel cell. The target current of the fuel cell is determined based on the target output power, and the fuel cell is instructed to supply power to the unmanned aerial vehicle according to the target current.

[0004] However, the current battery control method only supplies power to the unmanned aerial vehicle based on the fuel cell, and in the case of fuel cell power failure, the unmanned aerial vehicle will crash. Therefore, the safety of the current battery control method is low. SUMMARY

[0005] Therefore, it is necessary to provide a control method and device for an air-cooled fuel cell power system applicable to aviation, a fuel cell controller, a computer readable storage medium, and a computer program product in view of the above technical problems.

[0006] In a first aspect, the present application provides a control method for an air-cooled fuel cell power system applicable to aviation, which is applied to an unmanned aerial vehicle. The unmanned aerial vehicle is provided with a lithium battery connected in parallel to a step-down direct current converter and a fuel cell connected in series and in parallel to the step-down direct current converter. The method comprises:

[0007] receiving a target demand power, and determining a target power supply strategy according to the target demand power, lithium battery information of the lithium battery, and fuel cell information of the fuel cell; the target power supply strategy is used to instruct the lithium battery and / or the fuel cell to supply power to the unmanned aerial vehicle.

[0008] In one embodiment, the fuel cell information includes fuel cell state information and the maximum output power of the fuel cell. The determination of the target power supply strategy according to the target demand power, the lithium battery information of the lithium battery, and the fuel cell information of the fuel cell comprises:

[0009] determining whether the fuel cell state information represents fuel cell failure;

[0010] if the fuel cell status information represents that the fuel cell is in a failure state, determining the target power supply strategy as a first power supply strategy;

[0011] if the fuel cell status information represents that the fuel cell is in a non-failure state, determining the target power supply strategy according to the maximum output power, the target demand power and the lithium battery information.

[0012] In one of the embodiments, the determining the target power supply strategy according to the maximum output power, the target demand power and the lithium battery information comprises:

[0013] judging whether the target demand power is greater than or equal to the maximum output power;

[0014] if the target demand power is greater than or equal to the maximum output power, determining the target power supply strategy as a second power supply strategy;

[0015] if the target demand power is less than the maximum output power, determining the target power supply strategy according to the lithium battery information.

[0016] In one of the embodiments, the lithium battery information comprises a current voltage, a maximum voltage threshold and a minimum voltage threshold of the lithium battery, and the determining the target power supply strategy according to the lithium battery information comprises:

[0017] judging whether the current voltage is greater than or equal to the maximum voltage threshold;

[0018] if the current voltage is less than the maximum voltage threshold, determining the target power supply strategy as a third power supply strategy;

[0019] if the current voltage is greater than or equal to the maximum voltage threshold, determining the target power supply strategy as the second power supply strategy.

[0020] In one of the embodiments, after the determining the target power supply strategy according to the target demand power, the lithium battery information of the lithium battery and the fuel cell status information of the fuel cell, the method further comprises:

[0021] if the target power supply strategy is the first power supply strategy, instructing the lithium battery to supply power for the UAV;

[0022] if the target power supply strategy is the second power supply strategy, instructing the lithium battery and the fuel cell to supply power for the UAV;

[0023] if the target power supply strategy is the third power supply strategy, instructing the fuel cell to supply power for the UAV.

[0024] In one of the embodiments, if the target power supply strategy is the second power supply strategy, instructing the lithium battery and the fuel cell to supply power to the UAV, the method comprises:

[0025] If the target power supply strategy is the second power supply strategy, the lithium battery is instructed to supply power according to the power difference or the voltage difference;

[0026] According to the target demand power, the maximum output power of the fuel cell, the current voltage and discharge current of the lithium battery, the target output power of the fuel cell is determined.

[0027] According to the target output power, the target current of the fuel cell is determined, and the fuel cell is instructed to supply power to the UAV according to the target current.

[0028] In one of the embodiments, the determination of the target output power of the fuel cell according to the target demand power, the maximum output power of the fuel cell, the current voltage and discharge current of the lithium battery comprises:

[0029] If the target demand power is greater than or equal to the maximum output power of the fuel cell, the maximum output power is determined as the target output power of the fuel cell;

[0030] If the target demand power is less than the maximum output power, the lithium battery discharge power is determined according to the current voltage and discharge current of the lithium battery.

[0031] The target demand power and the lithium battery discharge power are added to obtain the target output power of the fuel cell.

[0032] In one of the embodiments, if the target power supply strategy is the third power supply strategy, the fuel cell is instructed to supply power to the UAV, the method comprises:

[0033] If the target power supply strategy is the third power supply strategy, the target output power of the fuel cell is determined according to the battery information of the lithium battery and the target demand power;

[0034] According to the target output power, the target current of the fuel cell is determined, and the fuel cell is instructed to supply power to the UAV or the combination of the UAV and the lithium battery according to the target current.

[0035] In a second aspect, the application further provides a control device of an air-cooled fuel cell power system suitable for aviation, which is applied to a UAV, wherein the UAV is provided with a lithium battery connected in parallel to a step-down DC converter and a fuel cell connected in series and in parallel to the step-down DC converter, and the device comprises:

[0036] determining a target power supply strategy according to the target demand power, lithium battery information of the lithium battery and fuel cell information of the fuel cell; the target power supply strategy is used to instruct the lithium battery and / or the fuel cell to supply power for the UAV.

[0037] In a third aspect, the present application further provides a fuel cell controller, comprising a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0038] receiving target demand power, and determining a target power supply strategy according to the target demand power, lithium battery information of the lithium battery and fuel cell information of the fuel cell; the target power supply strategy is used to instruct the lithium battery and / or the fuel cell to supply power for the UAV.

[0039] In a fourth aspect, the present application further provides a computer readable storage medium, which stores a computer program, and the computer program implements the following steps when executed by a processor:

[0040] receiving target demand power, and determining a target power supply strategy according to the target demand power, lithium battery information of the lithium battery and fuel cell information of the fuel cell; the target power supply strategy is used to instruct the lithium battery and / or the fuel cell to supply power for the UAV.

[0041] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, and the computer program implements the following steps when executed by a processor:

[0042] receiving target demand power, and determining a target power supply strategy according to the target demand power, lithium battery information of the lithium battery and fuel cell information of the fuel cell; the target power supply strategy is used to instruct the lithium battery and / or the fuel cell to supply power for the UAV.

[0043] The above-mentioned control method, device, fuel cell controller, computer readable storage medium and computer program product for the air-cooled fuel cell power system suitable for aviation receive target demand power, and determine a target power supply strategy according to the target demand power, lithium battery information of the lithium battery and fuel cell information of the fuel cell; the target power supply strategy is used to instruct the lithium battery and / or the fuel cell to supply power for the UAV. By using the method, different target power supply strategies are determined through the target demand power, lithium battery information and fuel cell information, so that the lithium battery and / or the fuel cell can supply power for the UAV, multiple power sources are used to supply power for the UAV, in the case of fuel cell power failure, the lithium battery can continue to supply power for the UAV, the UAV continues to fly normally, the UAV is prevented from crashing, and the safety of the battery control method is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0045] Figure 1 This is a diagram of an application environment of a control method for an air-cooled fuel cell power system applicable to aviation in one embodiment;

[0046] Figure 2 FIG1 is a flow chart of determining a target power supply strategy based on battery status information in one embodiment;

[0047] Figure 3 A schematic diagram of a process for determining a target power supply strategy according to maximum output power in one embodiment;

[0048] Figure 4 Schematic diagram of a process for determining a target power supply strategy based on current voltage in one embodiment;

[0049] Figure 5 A schematic diagram of a process for supplying power according to a target power supply strategy in one embodiment;

[0050] Figure 6 A schematic diagram of a process of supplying power according to a second power supply strategy in one embodiment;

[0051] Figure 7 A schematic diagram of a structure for calculating target output power in one embodiment;

[0052] Figure 8 FIG1 is a schematic diagram of a process for determining a target output power in one embodiment;

[0053] Figure 9 A schematic diagram of a process of powering according to a third power supply strategy in one embodiment;

[0054] Figure 10 A schematic diagram of an architecture for determining a lithium battery mode in one embodiment;

[0055] Figure 11 A schematic diagram of an architecture for calculating the charging power and discharging power of a lithium battery in one embodiment;

[0056] Figure 12 A schematic diagram of a process for starting and controlling a fuel cell in one embodiment;

[0057] Figure 13A schematic diagram of a process for shutting down a fuel cell in one embodiment;

[0058] Figure 14 is a schematic diagram of a process for determining a target output power in an exemplary embodiment;

[0059] Figure 15 FIG. 1 is a diagram showing the internal structure of a fuel cell controller in one embodiment. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0061] The control method for an air-cooled fuel cell power system applicable to aviation provided in the embodiment of the present application can be applied to Figure 1 The fuel cell power system 100 shown in FIG. This fuel cell power system 100 is installed on a drone and provides power for the drone. This fuel cell power system 100 includes a hydrogen tank 110, a fuel cell 120, a CVM (Cell Voltage Monitor) 130, an FCU (Fuel Cell Unit, also known as a collaborative controller) 140, a DC-DC Converter (step-down DC converter) 150, and a lithium battery 160. The hydrogen tank 110 is connected to the fuel cell 120, which is then connected in series with the CVM 130 and the DC-DC 140, respectively. The CVM 130 is connected to the FCU 140 via a CAN (Controller Area Network) cable. The FCU 140 is connected to the DC-DC 150. The lithium battery 160 is connected in parallel with the DC-DC 150.

[0062] The fuel cell power system 100 also includes a pressure reducing valve. The high-pressure hydrogen tank 110 outputs hydrogen that meets the use requirements of the fuel cell 120 through the pressure reducing valve. The hydrogen pressure of the hydrogen required for use is set within the hydrogen pressure range allowed by the fuel cell 120. The hydrogen that meets the use requirements of the fuel cell 120 enters the fuel cell 120 through the gas supply pipe. In addition, the hydrogen tank 110 has a built-in pressure sensor, which is used to collect the residual pressure in the hydrogen tank 110 in real time and confirm the return time of the drone based on the remaining hydrogen amount.

[0063] Fuel cell 120 is a device that converts chemical energy into electrical energy through electrochemical reactions between hydrogen and oxygen in the air. At the same time, fuel cell 120 will generate heat and water. CVM 130 is used to collect the voltage of each single piece of fuel cell 120 and send it to cooperative controller 140, which will take measures to protect fuel cell 120 based on the voltage of the single piece of fuel cell in fuel cell 120. Lithium battery 160 is connected in parallel with the output of DCDC 150, which is used to control the output voltage of the entire fuel cell power system 100. DCDC 150 has three built-in step-down modules. Lithium battery 160 outputs 24V and 12V for low-voltage power supply to all power supply devices through DCDC 150. At the same time, DCDC 160 steps down the wide voltage output by fuel cell 120 to the voltage of lithium battery. Cooperative controller 140 is used for power distribution of fuel cell 120 and lithium battery 160 to meet the power demand of UAV, and real-time interaction with fuel cell 120, DCDC 150 and CVM 130 through CAN communication to control the start and stop of fuel cell power system 100.

[0064] In one exemplary embodiment, a control method for an air-cooled fuel cell power system suitable for aviation is provided. The method is applied to Figure 1 The cooperative controller 140 (also fuel cell controller, hereinafter referred to as cooperative controller) in the above-mentioned fuel cell power system is taken as an example to illustrate the control method, which includes the following steps:

[0065] Receiving a target demand power, and determining a target power supply strategy according to the target demand power, lithium battery information of the lithium battery and fuel cell information of the fuel cell.

[0066] The target power supply strategy is used to indicate that the lithium battery and / or the fuel cell supply power to the UAV. The target demand power is the power required by the UAV at present. The fuel cell information includes fuel cell state information and maximum output power of the fuel cell.

[0067] In the implementation, the lithium battery information of the lithium battery and the maximum output power of the fuel cell are set in the cooperative controller. The cooperative controller obtains the battery state information of the fuel cell in real time, and receives the target demand power of the UAV sent by the flight control. The battery state information indicates whether the fuel cell can effectively output current (power). The cooperative controller determines the target power supply strategy according to the battery state information, the maximum output power, the target demand power and the lithium battery information.

[0068] Specifically, the UAV is provided with a flight control and a cooperative controller. The flight control is a flight control system of the UAV. The cooperative controller is provided with lithium battery information of a lithium battery and maximum output power of a fuel cell. The flight control determines target demand power of the UAV according to flight information and attribute information of the UAV, and sends the target demand power to the cooperative controller, so that the cooperative controller controls the fuel cell power system to provide electric energy for the UAV according to the target demand power. The cooperative controller acquires battery state information of the fuel cell in real time, and receives the target demand power sent by the flight control. If the battery state information indicates that the fuel cell is invalid, the cooperative controller determines that the target power supply strategy is a first power supply strategy. If the battery state information indicates that the fuel cell is valid, the cooperative controller determines the target power supply strategy according to the maximum output power, the target demand power and the lithium battery information.

[0069] In the above-mentioned control method of the air-cooled fuel cell power system suitable for aviation, different target power supply strategies are determined according to the target demand power, the lithium battery information and the fuel cell information, so that the lithium battery and / or the fuel cell can supply power for the UAV, multiple power sources supply power for the UAV, the lithium battery can continue to supply power for the UAV in the case that the fuel cell power fails, the UAV can continue to fly normally, the UAV is prevented from crashing, and the safety of the battery control method is improved.

[0070] In an exemplary embodiment, the fuel cell information includes fuel cell state information and maximum output power of the fuel cell, as shown in Figure 2 According to the target demand power, the lithium battery information of the lithium battery and the fuel cell information of the fuel cell, the specific processing process of determining the target power supply strategy includes steps 202 to 206. Among them:

[0071] Step 202, judging whether the fuel cell state information indicates that the fuel cell is invalid.

[0072] Among them, the fuel cell state information indicates whether the fuel cell is in an invalid state.

[0073] In implementation, the cooperative controller judges whether the fuel cell is in an invalid state according to the fuel cell state information. If the fuel cell is in an invalid state, the cooperative controller executes the following step 204; if the fuel cell is in a non-invalid state, the cooperative controller executes the following step 206. The specific processing process of steps 204 and 206 will be described in detail in the following embodiments, and this embodiment will not be described in detail.

[0074] Step 204, if the fuel cell state information indicates that the fuel cell is in an invalid state, determining that the target power supply strategy is a first power supply strategy.

[0075] In implementation, if the fuel cell state information represents that the fuel cell is in failure state, the fuel cell cannot normally output current for the UAV to use, at this time, the lithium battery needs to be used to power the UAV. The collaborative controller determines that the first power supply strategy of the lithium battery is the target power supply strategy.

[0076] In step 206, if the fuel cell state information represents that the fuel cell is in non-failure state, the target power supply strategy is determined according to the maximum output power, the target demand power and the lithium battery information.

[0077] In implementation, if the fuel cell state information represents that the fuel cell is in non-failure state, i.e. the fuel cell is in effective state, the fuel cell can normally output current to power the UAV. The collaborative controller determines the target power supply strategy according to the maximum output power, the target demand power and the lithium battery information.

[0078] Specifically, the collaborative controller determines whether the target demand power is greater than the maximum output power of the fuel cell to obtain a first determination result. Then, the collaborative controller determines the target power supply strategy according to the first determination result and the lithium battery information.

[0079] In this embodiment, in the state that the fuel cell state information represents that the fuel cell is in failure state, the first power supply strategy of the lithium battery is determined as the target power supply strategy, so that the lithium battery can continue to power the UAV in the state that the fuel cell is in failure state, ensuring the normal flight of the UAV and avoiding the UAV from crashing, thereby improving the safety of the battery control method.

[0080] In one exemplary embodiment, as shown in Figure 3 The specific processing process of determining the target power supply strategy according to the maximum output power, the target demand power and the lithium battery information in step 206 includes steps 302 to 306. Among them:

[0081] In step 302, it is determined whether the target demand power is greater than or equal to the maximum output power.

[0082] In implementation, the collaborative controller determines whether the target demand power is greater than or equal to the maximum output power of the fuel cell. If the target demand power is greater than or equal to the maximum output power of the fuel cell, the collaborative controller performs step 304 described below. If the target demand power is less than the maximum output power, the collaborative controller performs step 306. The specific processing process of steps 304 and 306 will be described in detail in the following embodiments, and this embodiment will not be described in detail.

[0083] Specifically, the cooperative controller determines whether the target demand power is greater than or equal to the maximum output power of the fuel cell, so as to determine whether the output power of the fuel cell can meet the current power requirement of the UAV. If the target demand power is greater than or equal to the maximum output power of the fuel cell, it indicates that the fuel cell cannot meet the current power requirement. If the target demand power is less than the maximum output power of the fuel cell, it indicates that the fuel cell can meet the current power requirement.

[0084] In step 304, if the target demand power is greater than or equal to the maximum output power, the target power supply strategy is determined as the second power supply strategy.

[0085] In implementation, if the target demand power is greater than or equal to the maximum output power, the fuel cell cannot meet the current power requirement, and the lithium battery and the fuel cell need to supply power to the UAV together. Therefore, the cooperative controller determines the second power supply strategy as the target power supply strategy. The second power supply strategy is that the lithium battery and the fuel cell output power together to supply power to the UAV.

[0086] In step 306, if the target demand power is less than the maximum output power, the target power supply strategy is determined according to the lithium battery information.

[0087] The lithium battery information includes the current voltage and the maximum voltage threshold of the lithium battery.

[0088] In implementation, if the target demand power is less than the maximum output power, the power output by the fuel cell can meet the current power requirement of the UAV. At this time, it is necessary to determine whether to supply power to the UAV by the fuel cell alone or to supply power to the combination of the UAV and the lithium battery based on the current voltage of the lithium battery. Therefore, the cooperative controller determines the target power supply strategy according to the current voltage and the maximum voltage threshold of the lithium battery.

[0089] Specifically, if the target demand power is less than the maximum output power, the cooperative controller determines whether the current voltage of the lithium battery is greater than or equal to the maximum voltage threshold, to obtain a second determination result. Then, the cooperative controller determines the target power supply strategy according to the second determination result.

[0090] In this embodiment, in the case that the target demand power is greater than the maximum output power, the second power supply strategy that the fuel cell and the lithium battery supply power to the UAV together is determined as the target power supply strategy, which provides sufficient power for the UAV and improves the performance of the UAV. Moreover, the target power supply strategy softens the rapid loading and unloading of the fuel cell in the rapid loading and unloading process of the UAV, and improves the service life of the fuel cell.

[0091] In an exemplary embodiment, the lithium battery information includes the current voltage, the maximum voltage threshold and the minimum voltage threshold of the lithium battery, as shown in the following table: Figure 4As shown, the specific process of determining the target power supply strategy according to the lithium battery information in step 306 includes steps 402 to 406. Among them:

[0092] In step 402, it is judged whether the current voltage is greater than or equal to the maximum voltage threshold.

[0093] In implementation, the cooperative controller judges whether the current voltage is greater than or equal to the maximum voltage threshold. If the current voltage is less than the maximum voltage threshold, the cooperative controller executes step 404. If the current voltage is greater than or equal to the maximum voltage threshold, the cooperative controller executes step 406. Among them, the specific process of step 404 and step 406 will be described in detail in the following embodiments, and the embodiments of the present application will not be described in detail here.

[0094] Specifically, the cooperative controller judges whether the current voltage of the lithium battery is greater than or equal to the maximum voltage threshold, obtains a second judgment result, and determines the state of the lithium battery according to the second judgment result. If the second judgment result is that the current voltage of the lithium battery is less than the maximum voltage threshold, the cooperative controller determines that the lithium battery is in a non-discharge state. If the second judgment result represents that the voltage of the lithium battery is greater than or equal to the maximum voltage threshold, the cooperative controller determines that the lithium battery is in a discharge state, i.e. the lithium battery will output power.

[0095] In step 404, if the current voltage is less than the maximum voltage threshold, the target power supply strategy is determined as the third power supply strategy.

[0096] In implementation, if the current voltage is less than the maximum voltage threshold, the cooperative controller determines that the fuel cell can independently power the UAV, and determines the third power supply strategy as the target power supply strategy. Among them, the third power supply strategy is to power the UAV only by the fuel cell. It should be noted that if the current voltage of the lithium battery is less than the maximum voltage threshold, it represents that the current lithium battery is in a safe state, and the current lithium battery will not automatically output power.

[0097] In step 406, if the current voltage is greater than or equal to the maximum voltage threshold, the target power supply strategy is determined as the second power supply strategy.

[0098] In implementation, if the current voltage of the lithium battery is greater than or equal to the maximum voltage threshold, in order to ensure the safety of the lithium battery, the lithium battery will automatically output power to power the UAV at this time, i.e. the lithium battery is in a discharge state, until the current voltage of the lithium battery is less than the maximum voltage threshold. At this time, the lithium battery and the fuel cell need to jointly power the UAV. Therefore, the cooperative controller determines the second power supply strategy as the target power supply strategy.

[0099] In the embodiment, when the current voltage of the lithium battery is greater than the maximum voltage threshold, the second power supply strategy in which the lithium battery and the fuel cell jointly supply power to the UAV is determined as the target power supply strategy, so as to avoid the lithium battery being in a high voltage environment all the time and ensure the safety of the lithium battery. In addition, the electric energy of the lithium battery and the fuel cell is reasonably utilized, the waste of the output electric quantity of the fuel cell is avoided, and the resource utilization rate is improved.

[0100] In an exemplary embodiment, after the target power supply strategy is determined, the UAV needs to be powered according to the target power supply strategy. As shown in FIG. 5, after the target power supply strategy is determined according to the target demand power, the lithium battery information of the lithium battery and the fuel cell information of the fuel cell, the specific processing process of the control method of the air-cooled fuel cell power system applicable to aviation further includes steps 502 to 506. Among them: Figure 5

[0101] Step 502, if the target power supply strategy is the first power supply strategy, instructing the lithium battery to supply power to the UAV.

[0102] Among them, the first power supply strategy is that the lithium battery alone supplies power to the UAV.

[0103] In implementation, when the target power supply strategy is the first power supply strategy, the fuel cell will not output power, at this time, the lithium battery will generate a power difference. In the presence of a power difference, the lithium battery will automatically output power to supply power to the UAV, so that the UAV can continue to fly and return to the departure location.

[0104] Step 504, if the target power supply strategy is the second power supply strategy, instructing the lithium battery and the fuel cell to supply power to the UAV.

[0105] In implementation, if the target power supply strategy is the second power supply strategy, the collaborative controller instructs the lithium battery to supply power to the UAV. Then, the collaborative controller determines the target current of the fuel cell according to the target demand power, the maximum output power of the fuel cell, the current voltage and the discharge current of the lithium battery. Then, the collaborative controller controls the fuel cell to supply power to the UAV according to the target current of the fuel cell.

[0106] Specifically, if the target power supply strategy is the second power supply strategy, the collaborative controller determines that the lithium battery and the fuel cell jointly supply power to the UAV. The collaborative controller instructs the lithium battery to automatically output power, thereby supplying power to the UAV. Then, the collaborative controller determines the target output power of the fuel cell according to the target demand power, the maximum output power of the fuel cell, the current voltage and the discharge current of the lithium battery, and determines the target current of the fuel cell according to the target output power. Then, the collaborative controller controls the fuel cell to supply power to the UAV according to the target current.

[0107] ​Step 506, if the target power supply strategy is the third power supply strategy, instructing the fuel cell to power the UAV.

[0108] In implementation, if the target power supply strategy is the third power supply strategy, the cooperative controller determines that only the fuel cell powers the UAV. The cooperative controller determines the output power of the fuel cell according to the battery information of the lithium battery and the target demand power. Then, the cooperative controller instructs the UAV to be powered by the UAV or the combination of the UAV and the lithium battery according to the target output power.

[0109] In this embodiment, based on the target power supply strategy, the switching of the lithium battery alone, the fuel cell alone, and the lithium battery and the fuel cell system together powering the UAV can be realized, multiple power sources powering the UAV is realized, so that in the case of fuel cell power failure, the lithium battery can continue to power the UAV, the UAV continues to fly normally, avoids the UAV crashing, and improves the safety of the battery control method.

[0110] In one exemplary embodiment, as shown in Figure 6 the specific processing process of step 504 includes steps 602 to 606. Among them:

[0111] Step 602, if the target power supply strategy is the second power supply strategy, instructing the lithium battery to power according to the power difference or the voltage difference.

[0112] Among them, the power difference is the difference between the target demand power and the maximum output power of the fuel cell. The voltage difference is the difference between the current voltage of the lithium battery and the maximum voltage threshold.

[0113] In implementation, if the target power supply strategy is the second power supply strategy, the cooperative controller determines that the lithium battery and the fuel cell together power the UAV. Then, the cooperative controller instructs the lithium battery to discharge power to power the UAV based on the power difference or the voltage difference.

[0114] Specifically, there are two cases for the lithium battery and the fuel cell to power the UAV together. One is that the current voltage of the lithium battery is too high, at this time, the cooperative controller instructs the lithium battery to automatically output power to power the UAV according to the voltage difference. The other is that the maximum output power of the fuel cell output meets the power demand of the current UAV, that is, even if the fuel cell outputs the maximum output power, there will be a power difference at the lithium battery. At this time, the cooperative controller instructs the lithium battery to automatically output power to power the UAV according to the power difference.

[0115] Step 604, determining the target output power of the fuel cell according to the target demand power, the maximum output power of the fuel cell, the current voltage of the lithium battery, and the discharge current.

[0116] In implementation, the cooperative controller judges whether the target demand power is greater than or equal to the maximum output power of the fuel cell, to obtain a third judgment result. The third judgment result represents the current situation of the UAV. According to the third judgment result, the cooperative controller performs data processing on the maximum output power of the fuel cell, the current voltage and output current of the lithium battery, to obtain the target output power of the fuel cell.

[0117] Specifically, the cooperative controller judges whether the target demand power is greater than or equal to the maximum output power of the fuel cell, to obtain a third judgment result. If the third judgment result is that the target demand power is greater than or equal to the maximum output power of the fuel cell, it indicates that the current fuel cell also cannot meet the current power demand of the UAV. However, the fuel cell still needs to output the maximum output power, i.e., the maximum output power of the fuel cell is the target output power. If the third judgment result is that the target demand power is less than the maximum output power of the fuel cell, it indicates that the lithium battery is in a discharging state, and the target output power of the fuel cell needs to be determined based on the lithium battery discharging power of the lithium battery and the target demand power.

[0118] In an exemplary embodiment, when the cooperative controller receives the target power demand of the UAV, the lithium battery can quickly respond to the power demand of the UAV, while the fuel cell responds to the power demand of the UAV through a fixed load ramping slope. The lithium battery discharging power decreases with the increase of the fuel cell output power, and when the fuel cell output power reaches the power demand of the UAV, the lithium battery stops power output, achieving softening control of the fuel cell fast load and increasing the service life of the fuel cell.

[0119] Step 606, determining the target current of the fuel cell according to the target output power, and instructing the fuel cell to supply power to the UAV according to the target current.

[0120] In implementation, the cooperative controller determines the output current value of the fuel cell according to the target output power. The output current value is the input current feedforward value of the DCDC. The cooperative controller performs subtraction operation on the target demand power and the target output power, to obtain a power difference. Then, the cooperative controller performs PID (Proportional-Integral-Derivative) calculation on the power difference, to obtain the input current feedback value of the DCDC. The cooperative controller performs addition operation on the input current feedforward value and the input current feedback value, to obtain the target current of the fuel cell. Then, the cooperative controller controls the fuel cell to supply power to the UAV based on the target current.

[0121] Specifically, based on the target output power, the cooperative controller determines the target current of the fuel cell, and controls the fuel cell to supply power to the UAV according to the target current. Figure 1The configuration of the fuel cell power system, the cooperative controller mainly controls the fuel cell to output power, while the lithium battery is in a passive output state. Since there is a small energy loss from the DCDC input to the DCDC output of the fuel cell output power, the net output power of the fuel cell is the DCDC output power, and the output power of the fuel cell is the DCDC input power. However, since the lithium battery is a passive output power, the lithium battery discharge power of the lithium battery is not controlled by the cooperative controller, so the total output power of the entire fuel cell power system is the net output power of the fuel cell plus the lithium battery discharge power of the lithium battery.

[0122] When the cooperative controller receives the target demand power of the UAV, the cooperative controller determines the target output power of the fuel cell according to the target demand power, the maximum output power of the fuel cell, the current voltage and discharge current of the lithium battery. The cooperative controller determines the output current value of the fuel cell according to the target output power. The output current value is the input current feedforward value of the DCDC. The cooperative controller performs subtraction operation on the target demand power and the target output power to obtain the power difference. Then, the cooperative controller performs PID calculation on the power difference to obtain the input current feedback value of the DCDC. The cooperative controller performs addition operation on the input current feedforward value and the input current feedback value to obtain the target current of the fuel cell. Then, the cooperative controller controls the fuel cell to supply power to the UAV based on the target current.

[0123] In an exemplary embodiment, Figure 7 The structure diagram for calculating the target output power in one embodiment is shown. As Figure 7 shown, when the cooperative controller receives the target demand power of the UAV, the cooperative controller performs power calculation to obtain the final target output power of the DCDC (also the target output power of the fuel control system) to respond to the target demand power of the UAV. The cooperative controller determines the output current value of the fuel cell according to the target output power. The output current value is the input current feedforward value of the DCDC. The cooperative controller performs subtraction operation on the target demand power and the target output power to obtain the power difference. Then, the cooperative controller performs PID calculation on the power difference to obtain the input current feedback value of the DCDC. The cooperative controller performs addition operation on the input current feedforward value and the input current feedback value to obtain the target current of the fuel cell. The cooperative controller realizes that the target output power of the DCDC follows the target demand power of the UAV by controlling the target current, and forms a power closed loop control.

[0124] In the embodiment, by indicating that the lithium battery and the fuel cell jointly supply power for the unmanned aerial vehicle, the lithium battery is prevented from being in a high-voltage environment all the time, and the safety of the lithium battery is ensured. Moreover, the lithium battery is used to supplement the power that the fuel cell cannot provide, so that the unmanned aerial vehicle can obtain sufficient power, the unmanned aerial vehicle can complete more actions, and the performance of the unmanned aerial vehicle is improved. In addition, the electric energy of the lithium battery and the fuel cell is reasonably utilized, the waste of the output power of the fuel cell is avoided, and the resource utilization rate is improved.

[0125] In one example embodiment, as shown in FIG. 8, the specific processing procedure of step 604 includes steps 802 to 806. Among them: Figure 8

[0126] Step 802, if the target demand power is greater than or equal to the maximum output power of the fuel cell, the maximum output power is determined as the target output power of the fuel cell.

[0127] In implementation, if the target demand power is greater than or equal to the maximum output power of the fuel cell, it indicates that the fuel cell cannot meet the current power demand of the unmanned aerial vehicle, and the fuel cell and the lithium battery need to jointly supply power for the unmanned aerial vehicle. In order to achieve the target demand power of the unmanned aerial vehicle, the collaborative controller determines the maximum output power of the fuel cell as the target output power.

[0128] Step 804, if the target demand power is less than the maximum output power, the lithium battery discharge power is determined according to the current voltage and output current of the lithium battery.

[0129] In implementation, if the target demand power is less than the maximum output power, the collaborative controller determines the current voltage and discharge current of the lithium battery in the lithium battery information of the lithium battery. Then, the collaborative controller performs data operation on the current voltage and discharge current of the lithium battery according to the power algorithm, and obtains the lithium battery discharge power. The power algorithm is shown in the following formula (1):

[0130] P=U*I (1)

[0131] In the above formula (1), P is the lithium battery discharge power of the lithium battery, U is the current voltage of the lithium battery, and I is the discharge current of the lithium battery.

[0132] Step 806, the target demand power and the lithium battery discharge power are subjected to addition operation, and the target output power of the fuel cell is obtained.

[0133] In the above formula (1), P is the lithium battery discharge power of the lithium battery, U is the current voltage of the lithium battery, and I is the discharge current of the lithium battery.

[0134] In implementation, the collaborative controller performs addition operation on the target demand power and the lithium battery discharge power, and obtains the target output power of the fuel cell.

[0135] ​In the embodiment, the current situation of the fuel cell is determined by judging the size relationship between the target demand power and the maximum output power, and the target output power of the fuel cell is determined in the case that the target demand power is less than the maximum output power, so as to avoid the fuel cell outputting electric energy according to the target demand power and to avoid the waste of electric energy and improve the resource utilization rate.

[0136] In one example embodiment, as shown in FIG. 9, the specific processing procedure of step 606 includes steps 902-904. In which: Figure 9

[0137] In step 902, if the target power supply strategy is the third power supply strategy, the target output power of the fuel cell is determined according to the battery information of the lithium battery and the target demand power.

[0138] In which, the battery information of the lithium battery includes the current voltage of the lithium battery, the minimum voltage threshold, the current voltage of the lithium battery and the charging current.

[0139] In implementation, if the target power supply strategy is the third power supply strategy, the cooperative controller determines that the fuel cell alone supplies power to the UAV. At the same time, the cooperative controller also needs to determine whether to supply power to the lithium battery to ensure that the lithium battery has sufficient voltage. The cooperative controller judges whether the current voltage of the lithium battery is greater than the minimum voltage threshold to obtain a fourth judgment result. Then, the cooperative controller determines the target output power of the fuel cell according to the fourth judgment result, the target demand power, the current voltage of the lithium battery and the charging current.

[0140] Specifically, if the fourth judgment result is that the current voltage of the lithium battery is greater than the minimum voltage threshold, the cooperative controller determines the target demand power as the target output power of the fuel cell. If the fourth judgment result is that the current voltage of the lithium battery is less than or equal to the minimum voltage threshold, the cooperative controller determines the lithium battery charging power of the lithium battery based on the current voltage of the lithium battery and the charging current. Then, the cooperative controller performs addition operation on the lithium battery charging power and the target demand power to obtain an initial target output power, and judges whether the initial target output power is greater than the maximum output power of the fuel cell. If the initial target output power is greater than the maximum output power of the fuel cell, the cooperative controller determines the maximum output power as the target output power. If the initial target output power is less than or equal to the maximum output power of the fuel cell, the cooperative controller determines the initial target output power as the maximum output power of the fuel cell.

[0141] In one example embodiment, if the target power supply strategy is the third power supply strategy, the cooperative controller determines that the fuel cell alone supplies power to the UAV. At the same time, the cooperative controller also needs to judge the mode of the lithium battery to determine whether the lithium battery is in the charging state, so as to charge the lithium battery through the fuel cell to ensure that the lithium battery has sufficient voltage.​Figure 10 A schematic diagram of an architecture for determining the lithium battery mode in one embodiment. As shown, the cooperative controller is pre-configured with a rated voltage threshold of the lithium battery, a maximum voltage threshold, a minimum voltage threshold, a take-off minimum voltage threshold, and a take-off maximum voltage threshold. Among them, the take-off maximum voltage threshold > (greater than) the maximum voltage threshold > the take-off minimum threshold > the rated voltage threshold > the minimum voltage threshold. Figure 10

[0142] If the current voltage of the lithium battery (also the SOC, State of Charge, of the battery) is as low as the minimum voltage threshold, the lithium battery charging mode is triggered, i.e., the lithium battery is in a charging state. At this time, the target output power of the fuel cell is equal to the target demand power of the UAV plus the lithium battery charging power (up to the maximum output power of the fuel cell), until the current voltage of the lithium battery is equal to the rated voltage threshold of the lithium battery, the lithium battery charging mode is closed and stops charging the lithium battery.

[0143] If the current voltage of the lithium battery is greater than or equal to the maximum voltage threshold of the lithium battery, the lithium battery discharging mode is triggered, i.e., the lithium battery is in a discharging state. At this time, the target output power of the fuel cell is equal to the target demand power of the UAV minus the lithium battery discharging power, until the current voltage of the lithium battery is equal to the rated voltage threshold of the lithium battery, the lithium battery discharging mode is closed and stops discharging the lithium battery. If the current voltage of the lithium battery is between the maximum voltage threshold and the minimum voltage threshold, the lithium battery is neither charged nor discharged.

[0144] Step 904, determining the target current of the fuel cell according to the target output power, and instructing the fuel cell to supply power to the UAV or the combination of the UAV and the lithium battery according to the target current.

[0145] In implementation, the cooperative controller determines the output current value of the fuel cell according to the target output power. The output current value is the input current feedforward value of the DCDC. The cooperative controller performs subtraction operation on the target demand power and the target output power to obtain a power difference. Then, the cooperative controller performs PID calculation on the power difference to obtain the input current feedback value of the DCDC. The cooperative controller performs addition operation on the input current feedforward value and the input current feedback value to obtain the target current of the fuel cell. Then, the cooperative controller controls the fuel cell to supply power to the UAV or the combination of the UAV and the lithium battery based on the target current.

[0146] ​Specifically, if the lithium-ion battery is charging, the collaborative controller controls the fuel cell based on the target current to power the drone and lithium-ion battery combination. It should be noted that if both the lithium-ion battery and the drone require power, the collaborative controller will power the drone based on the drone's target power requirement, and then power the lithium-ion battery based on the difference between the target output power and the target power requirement. If the lithium-ion battery is not charging, the collaborative controller controls the fuel cell based on the target current to power the drone.

[0147] In an exemplary embodiment, Figure 11 FIG. 1 is a schematic diagram of an architecture for calculating the charging power and discharging power of a lithium battery in one embodiment. Figure 11 As shown, the current DCDC voltage is the current lithium battery voltage. The collaborative controller calculates this by multiplying the current lithium battery voltage by the fixed lithium battery charge / discharge current. During charging, the current DCDC voltage is multiplied by a fixed positive value (charging current) to calculate the lithium battery charging power. During discharging, the current DCDC voltage is multiplied by a fixed negative value (discharging current, also known as the output current) to calculate the lithium battery discharging power.

[0148] In this embodiment, by instructing the fuel cell to power the drone or the combination of the drone and the lithium battery, the lithium battery can be safely and effectively charged during the operation of the drone, solving the problem of frequent replacement of lithium batteries.

[0149] In one exemplary embodiment, the coordinated controller's control of the fuel cell is divided into three main parts: startup control, loading and operation control, and shutdown control. The loading and operation part is the core of the fuel cell. To meet the drone's target power requirements in real time, it requires power allocation between the fuel cell and the lithium battery, as well as battery charge and discharge management.

[0150] Figure 12 FIG. 1 is a flow chart of starting and controlling a fuel cell in one embodiment. Figure 12 As shown in FIG, the specific process of the cooperative controller starting the fuel cell includes:

[0151] Step 1201: The collaborative controller receives a start instruction sent by the flight controller.

[0152] In step 1202, the cooperative controller sends a start-up instruction to the fuel cell, instructing the fuel cell to establish an open circuit voltage. After the fuel cell establishes the open circuit voltage, no discharge is performed, and the fuel cell is started.

[0153] Step 1203: The cooperative controller sends a start instruction to the DCDC to start the DCDC.

[0154] Step 1204 : The fuel cell is idling.

[0155] When the fuel cell is in the idle state, the fuel cell waits for the target demand power from the flight control of the UAV to respond in real time. When the fuel cell is in the idle state, if there is no power demand from the UAV, the fuel cell outputs the idle power to charge the lithium battery. When the collaborative controller detects that the lithium battery is fully charged, the DCDC stops working, the fuel cell stops outputting power in the open circuit state, and the charging function of the lithium battery on the ground is realized.

[0156] Figure 13 A flowchart for shutting down the fuel cell in an embodiment is shown in FIG. 13. As shown in FIG. 13, the specific process of shutting down the fuel cell by the collaborative controller includes the following steps. Figure 13

[0157] In step 1301, the collaborative controller receives the shutdown instruction sent by the flight control.

[0158] In step 1302, the collaborative controller sends a stop working instruction to the DCDC, instructing the DCDC to stop outputting current externally. At this time, the fuel cell is in the open circuit state and does not output power externally.

[0159] In step 1303, the collaborative controller sends a shutdown instruction to the fuel cell, instructing the fuel cell to shut down and purge.

[0160] In step 1304, the collaborative controller obtains the self-check state information of the fuel cell power system. The self-check state information represents whether the states of the components and sensors in the fuel cell power system are normal.

[0161] In step 1305, if the self-check state information represents that the states of the components and sensors are normal, it is determined that the fuel cell power system is in a waiting state. In the waiting state, the fuel cell power system can be started after receiving a start instruction, otherwise the next start cannot be performed.

[0162] The loading operation of the fuel cell power system includes two parts. One is that the fuel cell power system responds to the target power demand of the UAV in real time, performs power distribution of the fuel cell and the lithium battery, and realizes three switching modes of separate power supply and common power supply of the fuel cell and the lithium battery. The other is the lithium battery power management system, which realizes the charging and discharging management of the lithium battery when the UAV is flying in the air.

[0163] In the power distribution of the fuel cell and the lithium battery, the collaborative controller needs to determine the target output power of the fuel cell according to the target demand power and the maximum output power of the fuel cell. Figure 14 A flowchart for determining the target output power in an exemplary embodiment is shown in FIG. 14. As shown in FIG. 14, the specific process of determining the target output power includes the following steps. Figure 14

[0164] ​​Step 1401, set the maximum output power (maximum net output power threshold) of the fuel cell according to the output capability of the fuel cell.

[0165] Step 1402, receive the target demand power of the UAV, and determine whether the target demand power is greater than or equal to the maximum output power. If the target demand power is greater than or equal to the maximum demand power, step 1403 is performed; if the target demand power is less than the maximum demand power, step 1404 is performed.

[0166] Step 1403, determine that the UAV is powered by the fuel cell and the lithium battery together, and determine that the target output power of the fuel cell is the maximum output power.

[0167] Step 1404, obtain the current voltage of the lithium battery.

[0168] Step 1405, if the current voltage is less than the maximum voltage threshold and greater than the minimum voltage threshold, determine that the target demand power is the target output power of the fuel cell, and determine that the UAV is powered only by the fuel cell.

[0169] Step 1406, if the current voltage is less than or equal to the minimum voltage threshold, determine that the fuel cell powers the UAV and the lithium battery, and determine the target output power of the fuel cell according to the lithium battery charging power of the lithium battery and the target demand power.

[0170] Step 1407, if the current voltage is greater than or equal to the maximum voltage threshold, determine that the UAV is powered by the fuel cell and the lithium battery together, and determine the difference between the target demand power and the lithium battery discharge power of the lithium battery as the target output power.

[0171] When the UAV takes off, if the fuel cell is in an idle state and the UAV has no target power demand, the power output by the fuel cell in the idle state will forcibly charge the lithium battery until the current voltage of the lithium battery reaches the take-off maximum voltage threshold, the DCDC stops working, and the fuel cell is in an open circuit state and will not discharge externally. When the current voltage of the lithium battery is lower than the take-off minimum voltage threshold, the DCDC works, and the fuel cell discharges externally. Therefore, the lithium battery power is always in the state of the aircraft taking off.

[0172] It should be understood that although the steps in the flowcharts involved in the embodiments described above are shown in sequence according to the arrows, the steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, the execution of the steps is not strictly limited in sequence, and the steps can be executed in other orders. Moreover, at least some of the steps in the flowcharts involved in the embodiments described above can include multiple steps or multiple stages, which are not necessarily executed at the same time but can be executed at different times, and the execution of the steps or stages is not necessarily sequential but can be performed alternately or alternately with at least part of other steps or stages.

[0173] Based on the same inventive concept, the embodiments of the present application also provide a control device for the air-cooled fuel cell power system for aviation, which is used to implement the control method for the air-cooled fuel cell power system for aviation as described above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more control device embodiments for the air-cooled fuel cell power system for aviation provided below can refer to the limitations of the control method for the air-cooled fuel cell power system for aviation described above, and will not be repeated here.

[0174] In an exemplary embodiment, a control device for an air-cooled fuel cell power system for aviation is provided, comprising: a determination module, wherein:

[0175] The determination module receives a target demand power and determines a target power supply strategy according to the target demand power, lithium battery information of the lithium battery, and fuel cell information of the fuel cell. The target power supply strategy is used to instruct the lithium battery and / or the fuel cell to supply power to the UAV.

[0176] In an exemplary embodiment, the fuel cell information includes fuel cell state information and maximum output power of the fuel cell, and the determination module includes a first receiving submodule and a first determination submodule. The first determination submodule includes:

[0177] The first determination submodule includes:

[0178] The first determination submodule includes:

[0179] The third determination submodule is configured to determine the target power supply strategy according to the maximum output power, the target demand power, and the lithium battery information if the fuel cell state information represents that the fuel cell is in a non-failure state.

[0180] In an example embodiment, the third determining submodule comprises:

[0181] The second judging submodule is configured to judge whether the target demand power is greater than or equal to the maximum output power.

[0182] The fourth determining submodule is configured to determine the target power supply strategy as the second power supply strategy if the target demand power is greater than or equal to the maximum output power.

[0183] The fifth determining submodule is configured to determine the target power supply strategy according to the lithium battery information if the target demand power is less than the maximum output power.

[0184] In an example embodiment, the lithium battery information comprises a current voltage, a maximum voltage threshold and a minimum voltage threshold of the lithium battery, and the fifth determining submodule comprises:

[0185] The third judging submodule is configured to judge whether the current voltage is greater than or equal to the maximum voltage threshold.

[0186] The sixth determining submodule is configured to determine the target power supply strategy as the third power supply strategy if the current voltage is less than the maximum voltage threshold.

[0187] The seventh determining submodule is configured to determine the target power supply strategy as the second power supply strategy if the current voltage is greater than or equal to the maximum voltage threshold.

[0188] In an example embodiment, the control device for the air-cooled fuel cell power system applicable to aviation comprises:

[0189] The first indicating submodule is configured to indicate the lithium battery to supply power to the UAV if the target power supply strategy is the first power supply strategy.

[0190] The second indicating submodule is configured to indicate the lithium battery and the fuel cell to supply power to the UAV if the target power supply strategy is the second power supply strategy.

[0191] The third indicating submodule is configured to indicate the fuel cell to supply power to the UAV if the target power supply strategy is the third power supply strategy.

[0192] In an example embodiment, the second indicating submodule comprises:

[0193] The first sending submodule is configured to indicate the lithium battery to supply power according to the power difference or the voltage difference if the target power supply strategy is the second power supply strategy.

[0194] The eighth determining submodule is configured to determine the target output power of the fuel cell according to the target demand power, the maximum output power of the fuel cell, the current voltage of the lithium battery and the discharge current of the lithium battery.

[0195] The ninth determining sub-module is configured to determine a target current of the fuel cell according to the target output power, and instruct the fuel cell to supply power to the UAV according to the target current.

[0196] In an exemplary embodiment, the eighth determining sub-module comprises:

[0197] The tenth determining sub-module is configured to determine the maximum output power as the target output power of the fuel cell if the target demand power is greater than or equal to the maximum output power of the fuel cell.

[0198] The eleventh determining sub-module is configured to determine a lithium battery discharge power according to the current voltage and the discharge current of the lithium battery if the target demand power is less than the maximum output power.

[0199] The first operation sub-module is configured to add the target demand power and the lithium battery discharge power to obtain the target output power of the fuel cell.

[0200] In an exemplary embodiment, the third instructing sub-module comprises:

[0201] The twelfth determining sub-module is configured to determine the target output power of the fuel cell according to the battery information of the lithium battery and the target demand power if the target power supply strategy is the third power supply strategy.

[0202] The thirteenth determining sub-module is configured to determine a target current of the fuel cell according to the target output power, and instruct the fuel cell to supply power to the UAV or the combination of the UAV and the lithium battery according to the target current.

[0203] The above-mentioned various modules in the control device of the air-cooled fuel cell power system applicable to aviation can be realized by software, hardware, and a combination thereof, in whole or in part. The above-mentioned various modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the above-mentioned various modules.

[0204] In an exemplary embodiment, a fuel cell controller is provided, which can be a terminal, and the internal structure diagram thereof can be as shown in Figure 15As shown in the figure. The fuel cell controller includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. Among them, the processor, the memory and the input / output interface are connected through the system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. Among them, the processor of the fuel cell controller is used to provide computing and control capabilities. The memory of the fuel cell controller includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The input / output interface of the fuel cell controller is used to exchange information between the processor and external devices. The communication interface of the fuel cell controller is used to communicate with external terminals in a wired or wireless manner. Wireless mode can be achieved through WIFI, mobile cellular network, Near Field Communication (NFC) or other technologies. The computer program is executed by the processor to implement a control method of an air-cooled fuel cell power system suitable for aviation.

[0205] Those skilled in the art can understand that, Figure 15 The person skilled in the art can understand that,

[0206] In one embodiment, a fuel cell controller is also provided, including a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0207] In one embodiment, a computer readable storage medium is provided, which stores a computer program, and the computer program is executed by a processor to implement the steps in the above method embodiments.

[0208] In one embodiment, a computer program product is provided, which includes a computer program, and the computer program is executed by a processor to implement the steps in the above method embodiments.

[0209] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. The non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. The volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., without being limited thereto.

[0210] The technical features of the above embodiments can be combined in any manner. To make the description concise, all possible combinations of the technical features in the above embodiments are not described, but as long as the combinations of the technical features do not exist, they should be considered as the scope of the present application.

[0211] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A control method for an air-cooled fuel cell power system suitable for aviation, characterized in that: The method is applied to a drone, wherein the drone is provided with a lithium battery connected in parallel to a step-down DC converter and a fuel cell connected in series and parallel with the step-down DC converter. The method comprises: Receive a target power requirement and determine a target power supply strategy based on the target power requirement, lithium battery information of the lithium battery, and fuel cell information of the fuel cell; the target power supply strategy is used to instruct the lithium battery and / or the fuel cell to power the drone.

2. The method according to claim 1, characterized in that The fuel cell information includes fuel cell status information and the maximum output power of the fuel cell. The determining of the target power supply strategy based on the target required power, the lithium battery information of the lithium battery, and the fuel cell information of the fuel cell includes: determining whether the fuel cell status information indicates a failure of the fuel cell; If the fuel cell status information indicates that the fuel cell is in a failed state, determining that the target power supply strategy is a first power supply strategy; If the fuel cell status information indicates that the fuel cell is in a non-failure state, a target power supply strategy is determined according to the maximum output power, the target required power, and the lithium battery information.

3. The method according to claim 2, characterized in that The determining a target power supply strategy according to the maximum output power, the target required power, and the lithium battery information includes: Determining whether the target required power is greater than or equal to the maximum output power; If the target required power is greater than or equal to the maximum output power, determining the target power supply strategy to be the second power supply strategy; If the target required power is less than the maximum output power, a target power supply strategy is determined according to the lithium battery information.

4. The method according to claim 3, characterized in that The lithium battery information includes the current voltage, maximum voltage threshold, and minimum voltage threshold of the lithium battery. Determining the target power supply strategy according to the lithium battery information includes: Determining whether the current voltage is greater than or equal to the maximum voltage threshold; If the current voltage is less than the maximum voltage threshold, determining the target power supply strategy to be the third power supply strategy; If the current voltage is greater than or equal to the maximum voltage threshold, the target power supply strategy is determined to be the second power supply strategy.

5. The method according to claim 1, wherein After determining the target power supply strategy based on the target required power, the lithium battery information of the lithium battery, and the fuel cell information of the fuel cell, the method further includes: If the target power supply strategy is the first power supply strategy, instructing the lithium battery to power the drone; If the target power supply strategy is the second power supply strategy, instructing the lithium battery and the fuel cell to power the drone; If the target power supply strategy is the third power supply strategy, the fuel cell is instructed to supply power to the UAV.

6. The method according to claim 5, characterized in that If the target power supply strategy is the second power supply strategy, instructing the lithium battery and the fuel cell to power the drone, including: If the target power supply strategy is the second power supply strategy, instructing the lithium battery to supply power according to the power difference or the voltage difference; Determining a target output power of the fuel cell according to the target required power, the maximum output power of the fuel cell, and the current voltage and discharge current of the lithium battery; The target current of the fuel cell is determined according to the target output power, and the fuel cell is instructed to supply power to the drone according to the target current.

7. The method according to claim 6, characterized in that The step of determining the target output power of the fuel cell according to the target required power, the maximum output power of the fuel cell, and the current voltage and discharge current of the lithium battery includes: If the target required power is greater than or equal to the maximum output power of the fuel cell, determining the maximum output power as the target output power of the fuel cell; If the target required power is less than the maximum output power, determining the discharge power of the lithium battery according to the current voltage and discharge current of the lithium battery; The target required power and the lithium battery discharge power are added to obtain the target output power of the fuel cell.

8. The method according to claim 5, characterized in that If the target power supply strategy is the third power supply strategy, instructing the fuel cell to power the UAV includes: If the target power supply strategy is the third power supply strategy, determining the target output power of the fuel cell according to the battery information of the lithium battery and the target required power; The target current of the fuel cell is determined according to the target output power, and the fuel cell is instructed to supply power to the drone or a combination of the drone and the lithium battery according to the target current.

9. A control device for an air-cooled fuel cell power system suitable for aviation, characterized in that: The device is applied to a drone, wherein the drone is provided with a lithium battery connected in parallel to a step-down DC converter and a fuel cell connected in series and parallel with the step-down DC converter. The device comprises: A determination module is used to receive a target power requirement and determine a target power supply strategy based on the target power requirement, lithium battery information of the lithium battery, and fuel cell information of the fuel cell; the target power supply strategy is used to instruct the lithium battery and / or the fuel cell to power the drone.

10. A fuel cell controller comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

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