Parameter determination method, device, computer equipment, storage medium and program product

Abstract

The present application relates to a parameter determination method, device, computer equipment, storage medium and program product. The method includes: obtaining component performance parameter values ​​of multiple key components in a hybrid power system; determining multiple performance boundary lines in a two-dimensional diagram of the relationship between power density and energy density of the hybrid power system according to the performance parameter values ​​of each component; and determining the optimal performance parameter value of the hybrid power system according to the multiple performance boundary lines. In this method, the process of matching parameters of the hybrid power system is made simpler.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a parameter determination method, apparatus, computer equipment, storage medium and program product. Background Art

[0002] The hybrid power system composed of hydrogen fuel cells and electrochemical batteries is widely used in aviation, automobiles, ships and other fields.

[0003] In the related art, matching the appropriate parameters of the hybrid power system is the key to achieving good performance. The parameters of the hybrid power system may include the share of the hydrogen fuel cell and the electrochemical cell, etc. The share may be power, energy, weight, volume, etc.

[0004] However, in the related art, there are relatively complex technical problems in the process of matching parameters of the hybrid power system. Summary of the invention

[0005] Based on this, it is necessary to provide a parameter determination method, device, computer equipment, storage medium and program product to address the above technical problems, so as to simplify the process of hybrid power system parameter matching.

[0006] In a first aspect, an embodiment of the present application provides a parameter determination method, including:

[0007] Obtain component performance parameter values ​​of multiple key components in a hybrid power system;

[0008] According to the performance parameter values ​​of each component, a plurality of performance boundary lines are determined in a two-dimensional diagram of the relationship between power density and energy density of the hybrid power system;

[0009] According to a plurality of performance boundary lines, optimal performance parameter values ​​of the hybrid power system are determined.

[0010] In one embodiment, the performance parameter values ​​of each component include a fuel cell performance parameter value, a hydrogen storage device performance parameter value, an electric propulsion system performance parameter value, and an electrochemical cell performance parameter value;

[0011] According to the performance parameter values ​​of each component, multiple performance boundary lines are determined in the two-dimensional diagram of the relationship between the power density and the energy density of the hybrid power system, including:

[0012] Determining a first performance boundary line in a two-dimensional relationship diagram according to a fuel cell performance parameter value, a hydrogen storage device performance parameter value, and an electric propulsion system performance parameter value;

[0013] Determining a second performance boundary line in the relationship two-dimensional graph according to the electric propulsion system performance parameter value and the electrochemical battery performance parameter value;

[0014] The first performance boundary line and the second performance boundary line are determined as a plurality of performance boundary lines.

[0015] In one embodiment, the fuel cell performance parameter value includes the continuous weight power density and continuous working efficiency of the fuel cell; the hydrogen storage device performance parameter value includes the weight energy density of the hydrogen storage device; the electric propulsion system performance parameter value includes the weight power density of the electric propulsion system;

[0016] According to the fuel cell performance parameter value, the hydrogen storage device performance parameter value and the electric propulsion system performance parameter value, a first performance boundary line is determined in the relationship two-dimensional diagram, including:

[0017] Determine the effective energy density of the hydrogen storage device based on the continuous working efficiency and weight energy density;

[0018] Determine the comprehensive power density of the hydrogen fuel cell power system based on the continuous weight power density and weight power density;

[0019] The first performance boundary line is determined based on the effective energy density, comprehensive power density and the two-dimensional relationship diagram.

[0020] In one embodiment, determining a first performance boundary line based on the effective energy density, the comprehensive power density, and a two-dimensional relationship diagram includes:

[0021] Determine the point corresponding to the effective energy density and the point corresponding to the integrated power density on the two-dimensional relationship graph;

[0022] The straight line between the point corresponding to the effective energy density and the point corresponding to the comprehensive power density on the two-dimensional relationship graph is determined as the first performance boundary line.

[0023] In one embodiment, the electric propulsion system performance parameter value includes the weight power density of the electric propulsion system; the electrochemical battery performance parameter value includes a first relationship curve between the weight energy density and the weight power density of multiple types of electrochemical batteries;

[0024] According to the electric propulsion system performance parameter value and the electrochemical battery performance parameter value, a second performance boundary line is determined in the relationship two-dimensional diagram, including:

[0025] Determining a second relationship curve of an electrochemical battery power system corresponding to multiple types of electrochemical batteries according to each of the first relationship curves and the weight power density; the second relationship curve represents the relationship between the weight power density and the weight energy density of each electrochemical battery power system;

[0026] According to the second relationship curves of the electrochemical battery power systems, the envelopes of the second relationship curves are plotted in the two-dimensional relationship graph to obtain the second performance boundary lines.

[0027] In one embodiment, the plurality of performance boundary lines include a first performance boundary line of a hydrogen fuel cell power system and a second performance boundary line of an electrochemical battery power system in the hybrid power system; determining the optimal performance parameter value of the hybrid power system according to the plurality of performance boundary lines includes:

[0028] Determine a first parameter matching point of the electrochemical battery power system and a second parameter matching point of the hydrogen fuel cell power system according to the first performance boundary line, the second performance boundary line and the performance parameter values ​​of each component;

[0029] An optimal performance parameter value is determined according to the first parameter matching point and the second parameter matching point.

[0030] In one embodiment, the performance parameter value of each component includes a system preset performance parameter value; determining a first parameter matching point of the electrochemical battery power system and a second parameter matching point of the hydrogen fuel cell power system according to the first performance boundary line, the second performance boundary line and the performance parameter value of each component includes:

[0031] Determining the available discharge rate of the electrochemical battery and the peak weight power density and continuous weight power density of the hybrid system according to the preset performance parameter values ​​of the system;

[0032] Determine a first parameter matching point according to the available discharge rate, the relationship two-dimensional graph, and the second performance boundary line;

[0033] A second parameter matching point is determined based on the first parameter matching point, the peak weight power density, the continuous weight power density, the relationship two-dimensional graph and the first performance boundary.

[0034] In one embodiment, the system preset performance parameter values ​​include the power time profile of the matched power-consuming object during the working task, and the weight budget of the power-consuming object for the hybrid power system;

[0035] Determine the available discharge rate of the electrochemical battery and the peak gravimetric power density and continuous gravimetric power density of the hybrid system based on the system preset performance parameter values, including:

[0036] According to the power time profile, the maximum power in the power time profile is determined as the maximum power of the hybrid system, and the power in the power time profile that is less than the maximum power of the hybrid system is determined as the continuous power of the fuel cell;

[0037] Determine the available discharge rate based on the maximum power of the hybrid system, the continuous power of the fuel cell and the power-time profile;

[0038] Determine the peak gravimetric power density and continuous gravimetric power density based on the weight budget, the maximum power of the hybrid system, and the continuous power of the fuel cell.

[0039] In one embodiment, determining the available discharge rate according to the maximum power of the hybrid system, the continuous power of the fuel cell and the power-time profile includes:

[0040] Determine the available power of the electrochemical battery based on the maximum power of the hybrid system and the continuous power of the fuel cell;

[0041] Determine the available energy of the electrochemical cell based on the fuel cell continuous power and power-time profile;

[0042] Based on the available power and available energy, the available discharge rate is determined.

[0043] In one embodiment, determining the first parameter matching point according to the available discharge rate, the relationship two-dimensional graph and the second performance boundary line includes:

[0044] According to the two-dimensional relationship diagram, determine the rate straight line corresponding to the available discharge rate;

[0045] The intersection point of the magnification straight line and the second performance boundary is determined as the first parameter matching point.

[0046] In one embodiment, determining the second parameter matching point according to the first parameter matching point, the peak weight power density, the continuous weight power density, the relationship two-dimensional graph and the first performance boundary line includes:

[0047] Determine the continuous power density of the hydrogen fuel cell power system according to the first parameter matching point, the peak weight power density and the continuous weight power density;

[0048] According to the two-dimensional relationship diagram, determine the continuous power density straight line corresponding to the continuous power density;

[0049] The intersection point of the continuous power density straight line and the first performance boundary line is determined as the second parameter matching point.

[0050] In one embodiment, determining the optimal performance parameter value according to the first parameter matching point and the second parameter matching point includes:

[0051] According to the two-dimensional relationship diagram, a peak power density straight line corresponding to the peak weight power density of the hybrid system is determined;

[0052] Determine the intersection of the peak power density straight line and the line connecting the first parameter matching point and the second parameter matching point as the system parameter matching point of the hybrid power system;

[0053] Determine the optimal performance parameter value based on the system parameter matching point.

[0054] In one embodiment, determining the optimal performance parameter value according to the system parameter matching point includes:

[0055] Determining the type of the electrochemical cell corresponding to the first parameter matching point according to the first parameter matching point and the second performance boundary line;

[0056] The performance parameter values ​​corresponding to the type of electrochemical battery, as well as the power density and energy density corresponding to the system parameter matching point, are determined as the optimal performance parameter values.

[0057] In one embodiment, the method further comprises:

[0058] determining whether to traverse different fuel cell continuous powers;

[0059] If not, the method returns to the step of determining the available discharge rate of the electrochemical battery and the peak weight power density and continuous weight power density of the hybrid power system according to the preset performance parameter values ​​of the system.

[0060] In a second aspect, an embodiment of the present application further provides a parameter determination device, including:

[0061] A parameter acquisition module, used to acquire component performance parameter values ​​of multiple key components in a hybrid power system;

[0062] A first determination module is used to determine a plurality of performance boundary lines in a two-dimensional diagram of a relationship between power density and energy density of a hybrid power system according to performance parameter values ​​of each component;

[0063] The second determination module is used to determine the optimal performance parameter value of the hybrid power system according to a plurality of performance boundary lines.

[0064] In a third aspect, the present application also provides a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps in any one of the embodiments of the first aspect when executing the computer program.

[0065] In a fourth aspect, the embodiments of the present application further provide a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps in any one of the embodiments of the first aspect are implemented.

[0066] In a fifth aspect, the embodiments of the present application further provide a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps in any one of the embodiments in the first aspect are implemented.

[0067] The above parameter determination method, device, computer equipment, storage medium and program product obtain the component performance parameter values ​​of multiple key components in the hybrid power system, and then determine multiple performance boundary lines in the two-dimensional diagram of the relationship between power density and energy density of the hybrid power system according to the performance parameter values ​​of each component, and finally determine the optimal performance parameter value of the hybrid power system according to the multiple performance boundary lines. In this method, by drawing a graph in the two-dimensional diagram of the relationship between power density and energy density based on the component performance parameters of multiple key components in the hybrid power system, the performance boundary lines of different power systems in the hybrid power system are found, and finally based on each performance boundary line, the optimal performance parameter value of the hybrid power system can be determined, which is equivalent to only needing to calculate some parameter values ​​based on the performance parameters of each component, and then drawing a graph in the two-dimensional diagram of the relationship based on the calculated parameter values, that is, the optimal performance parameter value of the hybrid power system can be found, avoiding the disadvantages of using energy constraints and power constraints for rough matching, cross-validation and multiple rounds of iteration respectively, and at the same time satisfying the energy constraints and power constraints, reaching the theoretical performance boundary, and no iteration is required, making full use of the determined multiple performance boundary lines, simplifying the calculation process, improving the calculation speed, reducing the algebraic requirements of engineering iteration, and significantly reducing costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0069] Figure 1 An application environment diagram of a parameter matching method in an embodiment;

[0070] Figure 2 A schematic diagram of a flow chart of a parameter matching method in an embodiment;

[0071] Figure 3 A schematic diagram of the connection relationship of key components in an embodiment;

[0072] Figure 4 A schematic diagram of a process for determining a first performance boundary line in one embodiment;

[0073] Figure 5 is a schematic diagram of a first performance boundary line in one embodiment;

[0074] Figure 6 A schematic diagram of a flow chart for determining a second performance boundary line in one embodiment;

[0075] Figure 7is a schematic diagram of a second relationship curve of a certain type of electrochemical battery in one embodiment;

[0076] Figure 8 is a schematic diagram of a second relationship curve in one embodiment;

[0077] Fig. 9 A schematic diagram of a process for determining a first parameter matching point and a second parameter matching point in one embodiment;

[0078] Fig.10 is a schematic diagram of a power time profile in one embodiment;

[0079] Fig.11 is a schematic diagram of a first parameter matching point in an embodiment;

[0080] Fig.12 is a schematic diagram of a second parameter matching point in one embodiment;

[0081] Fig.13 A schematic diagram of a process for determining optimal performance parameters in one embodiment;

[0082] Fig.14 A schematic diagram of system parameter matching points in one embodiment;

[0083] Fig.15 A schematic diagram of comparing system parameter matching points of different power systems in one embodiment;

[0084] Fig.16 A schematic flow chart of a parameter determination method in another embodiment;

[0085] Fig.17 FIG. 1 is a schematic diagram of the structure of a parameter determination device in an embodiment. DETAILED DESCRIPTION

[0086] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0087] The parameter determination method provided in the embodiment of the present application can be applied to a computer device. The computer device can be a server, and its internal structure diagram can be as follows: Figure 1As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a parameter determination method is implemented. Those skilled in the art can understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0088] The hybrid power system composed of hydrogen fuel cells and electrochemical batteries is widely used in aviation, automobiles, ships and other fields.

[0089] For hybrid systems, proper parameter matching is the key to good performance; one of the most important indicators to be matched is the so-called "hybrid depth", that is, the share of each type of power system participating in the hybrid system. The share can be defined as power, energy, weight, or volume, etc. This share also corresponds to the working mode of the system, that is, the distribution of power output under different working conditions and the distribution of energy output in a certain work task. For a hybrid system of hydrogen fuel cells and batteries, it is necessary to calculate the share of hydrogen fuel cells and electrochemical batteries.

[0090] In the related art, two parameter matching methods are provided, which mainly focus on the selection and scale estimation of batteries. One is a method based on energy-power estimation, which pre-selects the scale of the fuel cell, the basic parameters of the battery cell and the working mode, and selects the battery capacity that satisfies all constraints at the same time by calculating the weight constraint, power constraint and energy constraint respectively. If it does not exist, the fuel cell scale and cell parameters are re-selected until a solution that can meet the constraints is obtained. Although such a matching method can enable the hybrid power system to work normally and complete the predetermined flight mission, the hybrid power system is only within the feasible domain and its performance has not reached the optimal level; the selection of the scale of the fuel cell, the scale of the hydrogen storage system and the scale of the battery has a certain degree of arbitrariness, and there is no guarantee that the highest performance can be obtained while satisfying the constraints; the calculation method itself is relatively complex, and there are iterative links, which cannot guarantee the existence of solutions that meet the constraints in the early stage of the calculation, and cannot guarantee that the number of stops of the iterative calculation is within an acceptable range. The other is a method based on flight mission simulation verification, which pre-selects the main parameters of the hybrid power system, simulates and calculates the flight mission performance, and changes the parameters for those that cannot meet the flight mission performance and recalculates until a solution that can meet the flight mission is obtained. This matching method can only obtain solutions within the feasible domain, and the calculation method is complex and consumes a lot of computing resources. It is still unavoidable to solve the problems of the aforementioned methods, and to obtain the best performance requires an iterative calculation optimization process with extremely large computational workload.

[0091] Based on this, the present application proposes a parameter determination method, which finds the performance boundary lines of different power systems in the hybrid system by plotting the component performance parameters of multiple key components in the hybrid system in a two-dimensional graph of the relationship between power density and energy density. Finally, based on each performance boundary line, the optimal performance parameter value of the hybrid system can be determined, which is equivalent to only needing to calculate some parameter values ​​based on the performance parameters of each component, and then plotting in the two-dimensional graph of the relationship based on the calculated parameter values, so that the optimal performance parameter value of the hybrid system can be found, avoiding the shortcomings of using energy constraints and power constraints for rough matching, cross-validation and multiple rounds of iterations respectively, while satisfying the energy constraints and power constraints, reaching the theoretical performance boundary, and without the need for iteration, making full use of the multiple performance boundary lines determined, simplifying the calculation process, improving the calculation speed, reducing the algebraic requirements of engineering iterations, and significantly reducing costs.

[0092] It should be noted that the beneficial effects brought about by the embodiments of the present application or the technical problems solved are not limited to this one, but may also include other implicit or related problems. For details, please refer to the description of the following embodiments.

[0093] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0094] In an exemplary embodiment, Figure 2 As shown, a parameter matching method is provided, which is applied to Figure 1 The computer device in the example is used to illustrate, including the following steps 201 to 203. Among them:

[0095] S201, obtaining component performance parameter values ​​of multiple key components in a hybrid power system.

[0096] In the embodiment of the present application, the key components of the hybrid power system mainly include a hydrogen storage device, a fuel cell, an electrochemical cell and an electric propulsion device. The connection relationship between the key components is as follows: Figure 3 As shown, since the fuel cell and the electrochemical cell both output electrical energy and are directly coupled to the power bus, the configuration of the hybrid power system is a parallel type.

[0097] The performance parameter values ​​of the components include the performance parameter values ​​of the hydrogen storage device, the performance parameter values ​​of the fuel cell, the performance parameter values ​​of the electrochemical battery, the performance parameter values ​​of the electric propulsion system and the system preset performance parameter values. Among them, the performance parameter values ​​of the hydrogen storage device include the weight energy density of the hydrogen storage device eH2st; the performance parameter values ​​of the fuel cell include the continuous weight power density of the fuel cell p FCcont , the continuous working efficiency of the fuel cell η FCcont ; Electrochemical cell performance parameter values ​​include weight energy density-weight power density relationship curves of different types of electrochemical cells e Bat =f(p Bat ); The system preset performance parameter values ​​include the typical power-time profile P of the matched power-consuming object during the working task flight =g(t flight ), and the weight budget m for the hybrid system using the electric object Powertrain .

[0098] Among them, electricity users may include aircraft, ground vehicles, rail vehicles, surface vessels, underwater vessels, fixed buildings, etc. Hydrogen storage devices may include high-pressure gas hydrogen storage bottles, liquid hydrogen cryogenic storage tanks, hydrogen storage alloys, chemical hydrogen storage (such as sodium borohydride hydrolysis hydrogen production device, aluminum-water reaction hydrogen production device, methanol high-temperature reforming hydrogen production device, etc.), etc. Fuel cells may include proton exchange membrane fuel cells, solid oxide fuel cells, alkaline fuel cells, fuel cells that work in conjunction with internal combustion engines, etc. Types of electrochemical cells may include lithium batteries (ternary lithium batteries, lithium cobalt oxide batteries, lithium iron phosphate batteries, lithium titanate batteries, lithium sulfur batteries, lithium metal batteries, etc.), sodium ion batteries, nickel hydrogen batteries, nickel chromium batteries, silver zinc batteries, lead acid batteries, etc.

[0099] The electrical configuration of the system is not limited. For example, the fuel cell and the hybrid power bus can be connected using a DC-DC converter (also referred to as a converter), or can be directly connected without a converter. The electrochemical battery and the hybrid power bus can be connected using a converter, or can be directly connected without a converter. The electric propulsion device and the hybrid power bus can be connected using a converter, or can be directly connected without a converter. The fuel cell device can have one or more groups, the electrochemical battery can have one or more groups, and the electric propulsion device can have one or more groups.

[0100] For example, component performance parameter values ​​of multiple key components in the hybrid system may be pre-stored in a database and may be obtained from the database when needed. Alternatively, they may be directly provided by the user when needed, for example, the computer device may display a performance parameter value input interface to the user, and then the user enters the component performance parameter value of each key component in the performance parameter value input interface, and clicks confirm after the user completes the input, so that the computer device can obtain the component performance parameter value of each key component.

[0101] S202 , determining a plurality of performance boundary lines in a two-dimensional diagram of the relationship between power density and energy density of the hybrid power system according to the performance parameter values ​​of the components.

[0102] The hybrid system includes a hydrogen fuel cell power system composed of a hydrogen fuel cell and an electric propulsion system, and an electrochemical battery power system composed of an electrochemical battery and an electric propulsion system. Different power systems in the hybrid system correspond to different performance boundaries.

[0103] In one embodiment, the performance parameter values ​​of each component include fuel cell performance parameter values, hydrogen storage device performance parameter values, electric propulsion system performance parameter values, and electrochemical cell performance parameter values; based on the performance parameter values ​​of each component, multiple performance boundary lines are determined in a two-dimensional diagram of the relationship between power density and energy density of the hybrid power system, including: determining a first performance boundary line in the two-dimensional diagram of the relationship based on the fuel cell performance parameter values, hydrogen storage device performance parameter values, and electric propulsion system performance parameter values; determining a second performance boundary line in the two-dimensional diagram of the relationship based on the electric propulsion system performance parameter values ​​and the electrochemical cell performance parameter values; and determining the first performance boundary line and the second performance boundary line as multiple performance boundary lines.

[0104] For the hydrogen fuel cell power system, the energy density value and power density value corresponding to the highest performance of the hydrogen fuel cell power system can be determined based on the performance parameters of the electric propulsion system, the performance parameters of the hydrogen storage device and the performance parameters of the fuel cell. Then, based on the energy density value and power density value corresponding to the highest performance of the hydrogen fuel cell power system, the first performance boundary line of the hydrogen fuel cell system can be drawn in the two-dimensional graph of the relationship between power density and energy density.

[0105] Similarly, for the electrochemical battery power system, the energy density value and power density value corresponding to the highest performance of the electrochemical battery power system can be determined based on the electrochemical battery performance parameters and the electric propulsion system performance parameters. Then, according to the energy density value and power density value corresponding to the highest performance of the electrochemical battery power system, the second performance boundary line of the electrochemical battery power system can be drawn in the two-dimensional graph of the relationship between power density and energy density.

[0106] S203: Determine optimal performance parameter values ​​of the hybrid power system according to the multiple performance boundary lines.

[0107] After obtaining the first performance boundary line of the hydrogen fuel cell system and the second performance boundary line of the electrochemical battery power system, we can continue to find the parameter matching points of the electrochemical battery power system and the parameter matching points of the hydrogen fuel cell power system in the two-dimensional graph of the relationship between power density and energy density based on the performance parameter values ​​of each component. Finally, based on the parameter matching points of the electrochemical battery power system and the parameter matching points of the hydrogen fuel cell power system, we can find the parameter matching points of the hybrid power system in the two-dimensional graph of the relationship between power density and energy density ... we can determine the optimal performance parameter values ​​based on the parameter matching points of the hybrid power system.

[0108] Exemplarily, based on the first performance boundary line, the second performance boundary line and the performance parameter values ​​of each component, the first parameter matching point of the electrochemical battery power system and the second parameter matching point of the hydrogen fuel cell power system are determined; based on the first parameter matching point and the second parameter matching point, the optimal performance parameter value is determined.

[0109] In the parameter determination method provided in the embodiment of the present application, by obtaining the component performance parameter values ​​of multiple key components in the hybrid system, and then according to the performance parameter values ​​of each component, multiple performance boundary lines are determined in the two-dimensional diagram of the relationship between the power density and the energy density of the hybrid system, and finally according to the multiple performance boundary lines, the optimal performance parameter value of the hybrid system is determined. In this method, by plotting in the two-dimensional diagram of the relationship between the power density and the energy density based on the component performance parameters of multiple key components in the hybrid system, the performance boundary lines of different power systems in the hybrid system are found, and finally based on each performance boundary line, the optimal performance parameter value of the hybrid system can be determined, which is equivalent to only needing to calculate some parameter values ​​based on the performance parameters of each component, and then plotting in the two-dimensional diagram of the relationship based on the calculated parameter values, that is, the optimal performance parameter value of the hybrid system can be found, avoiding the disadvantages of using energy constraints and power constraints for rough matching, cross-validation and multiple rounds of iteration respectively, and at the same time satisfying the energy constraints and power constraints, reaching the theoretical performance boundary, and no iteration is required, making full use of the determined multiple performance boundary lines, simplifying the calculation process, improving the calculation speed, reducing the algebraic requirements of engineering iteration, and significantly reducing costs.

[0110] The fuel cell performance parameter value includes the continuous weight power density and continuous working efficiency of the fuel cell; the hydrogen storage device performance parameter value includes the weight energy density of the hydrogen storage device; the electric propulsion system performance parameter value includes the weight power density of the electric propulsion system. Based on the fuel cell performance parameter value, the hydrogen storage device performance parameter value and the electric propulsion system performance parameter value, the energy density value and power density value corresponding to the maximum performance of the hydrogen fuel cell power system can be calculated, and then the first performance boundary line can be drawn in the relationship two-dimensional diagram. Based on this, the following embodiment describes the method of determining the first performance boundary line.

[0111] In an exemplary embodiment, Figure 4 As shown, according to the fuel cell performance parameter value, the hydrogen storage device performance parameter value and the electric propulsion system performance parameter value, a first performance boundary line is determined in the relationship two-dimensional diagram, including:

[0112] S301, determining the effective energy density of the hydrogen storage device according to the continuous working efficiency and the weight energy density.

[0113] Exemplarily, the effective energy density of the hydrogen storage device can be determined according to the following formula (1).

[0114] e H2st-eff = e H2st ×η FCcont (1)

[0115] Among them, ηFCcont The sustained working efficiency of the fuel cell; H2st is the weight energy density of the hydrogen storage device; e H2st-eff is the effective energy density of the hydrogen storage device.

[0116] S302, determining the comprehensive power density of the hydrogen fuel cell power system according to the continuous weight power density and the weight power density.

[0117] Exemplarily, the comprehensive power density of the hydrogen fuel cell power system can be determined according to the following formula (2).

[0118] p FC-EP = (p FCcont -1 +p EP -1 ) -1 (2)

[0119] Among them, p FCcont is the continuous weight power density of the fuel cell; p EP is the weight power density of the electric propulsion system; p FC-EP is the comprehensive power density of the hydrogen fuel cell power system.

[0120] S303, determining a first performance boundary line according to the effective energy density, the comprehensive power density and the two-dimensional relationship diagram.

[0121] Exemplarily, determine the points corresponding to the effective energy density and the points corresponding to the comprehensive power density on the two-dimensional relationship graph; and determine the straight line between the points corresponding to the effective energy density and the points corresponding to the comprehensive power density on the two-dimensional relationship graph as the first performance boundary line.

[0122] like Figure 5 As shown in the two-dimensional relationship diagram, the effective energy density e of the hydrogen storage device is found on the energy density axis. H2st-eff The corresponding point is found on the power density axis to find the comprehensive power density p of the hydrogen fuel cell power system. FC-EP Corresponding points; connect the two points with a straight line, the line is the first performance boundary line of the hydrogen fuel power system, and the area below the left side of the line and enclosed by the two coordinate axes is the possible value area of ​​the hydrogen fuel cell power system.

[0123] In the parameter determination method provided in the embodiment of the present application, the effective energy density of the hydrogen storage device is determined according to the continuous working efficiency and the weight energy density, and then the comprehensive power density of the hydrogen fuel cell power system is determined according to the continuous weight power density and the weight power density, and finally the first performance boundary line is determined according to the effective energy density, the comprehensive power density and the relationship two-dimensional graph. In this method, the effective energy density of the hydrogen storage device and the comprehensive power density of the hydrogen fuel cell power system are calculated by the fuel cell performance parameter value, the hydrogen storage device performance parameter value and the electric propulsion system performance parameter value, and then the first performance boundary line can be found in the relationship two-dimensional graph based on the effective energy density of the hydrogen storage device and the comprehensive power density of the hydrogen fuel cell power system, which provides an optional way to quickly determine the first performance boundary line.

[0124] The electric propulsion system performance parameter value includes the weight power density of the electric propulsion system; the electrochemical battery performance parameter value includes a first relationship curve between the weight energy density and the weight power density of multiple types of electrochemical batteries. Based on the electric propulsion system performance parameter value and the electrochemical battery performance parameter value, the energy density value and the power density value corresponding to the electrochemical battery power system reaching the highest performance can be calculated, and then the second performance boundary line can be drawn in the relationship two-dimensional graph. Based on this, the following embodiment describes the method of determining the second performance boundary line.

[0125] In an exemplary embodiment, Figure 6 As shown, according to the performance parameter value of the electric propulsion system and the performance parameter value of the electrochemical battery, a second performance boundary line is determined in the relationship two-dimensional diagram, including:

[0126] S401, determining a second relationship curve of an electrochemical battery power system corresponding to multiple types of electrochemical batteries according to each first relationship curve and weight power density; the second relationship curve represents the relationship between the weight power density and the weight energy density of each electrochemical battery power system.

[0127] For any type of electrochemical battery, the first relationship curve e between the weight energy density and the weight power density of the electrochemical battery can be used. Bat =f(p Bat ), determine the second relationship curve p of the electrochemical battery power system corresponding to this type of electrochemical battery Bat-EP =h(e Bat-EP ).

[0128] Exemplarily, the second relationship curve of the electrochemical battery power system can be determined according to the following formulas (3)-(5).

[0129] p Bat-EP = (p Bat -1 +p EP-1 ) -1 (3)

[0130] k Bat = p Bat-EP ÷p Bat (4)

[0131] e Bat-EP = e Bat ×k Bat (5)

[0132] Among them, k Bat The share of electrochemical batteries.

[0133] In the two-dimensional relationship diagram, the second relationship curve of the electrochemical battery power system corresponding to this type of electrochemical battery can be drawn, such as Figure 7 shown.

[0134] S402, according to the second relationship curves of the electrochemical battery power systems, draw envelopes of the second relationship curves in the two-dimensional relationship graph to obtain second performance boundary lines.

[0135] After determining the second relationship curve corresponding to each type of electrochemical battery by using the method of determining the second relationship curve in S401, the envelope of these curves is drawn to obtain the second performance boundary line, such as Figure 8 The figure shows a schematic diagram of the second performance boundary line.

[0136] In the parameter determination method provided in the embodiment of the present application, the second relationship curve of the electrochemical battery power system corresponding to the multiple types of electrochemical batteries is determined according to each first relationship curve and the weight power density. The second relationship curve represents the relationship between the weight power density and the weight energy density of each electrochemical battery power system. Then, according to the second relationship curve of each electrochemical battery power system, the envelope of each second relationship curve is drawn in the relationship two-dimensional graph to obtain the second performance boundary line. In this method, the second relationship curve of the electrochemical battery power system is calculated by the electrochemical battery performance parameter value and the electric propulsion system performance parameter value, and then the second performance boundary line can be found in the relationship two-dimensional graph based on the second relationship curve of the electrochemical battery power system, which provides an optional way to quickly determine the second performance boundary line.

[0137] The first parameter matching point can be determined in the relationship two-dimensional graph based on the determined second performance boundary line of the electrochemical battery power system, and the second parameter matching point can be determined in the relationship two-dimensional graph based on the determined first performance boundary line of the hydrogen fuel cell power system. Based on this, in the following embodiment, the method of determining the first parameter matching point and the second parameter matching point is described.

[0138] In an exemplary embodiment, Fig. 9 As shown, the performance parameter values ​​of each component include system preset performance parameter values; according to the first performance boundary line, the second performance boundary line and the performance parameter values ​​of each component, the first parameter matching point of the electrochemical battery power system and the second parameter matching point of the hydrogen fuel cell power system are determined, including:

[0139] S501, determining the available discharge rate of the electrochemical battery and the peak weight power density and continuous weight power density of the hybrid power system according to the preset performance parameter values ​​of the system.

[0140] The system preset performance parameter values ​​include the power time profile of the power-consuming object during the working task and the weight budget of the power-consuming object for the hybrid power system. In one embodiment, the available discharge rate of the electrochemical battery and the peak weight power density and continuous weight power density of the hybrid power system are determined according to the system preset performance parameter values, including:

[0141] Step 1: According to the power time profile, the maximum power in the power time profile is determined as the maximum power of the hybrid power system, and the power in the power time profile that is less than the maximum power of the hybrid power system is determined as the continuous power of the fuel cell.

[0142] Take the aircraft as an example, Fig.10 According to the typical power-time profile of the matched aircraft during its working mission, the maximum power is taken as the maximum power of the hybrid power system, and a power level less than the maximum power is taken as the continuous power of the fuel cell.

[0143] Step 2: Determine the available discharge rate based on the maximum power of the hybrid system, the continuous power of the fuel cell and the power-time profile.

[0144] In one embodiment, the available power of the electrochemical cell can be determined based on the maximum power of the hybrid system and the continuous power of the fuel cell; the available energy of the electrochemical cell can be determined based on the continuous power and power-time profile of the fuel cell; and the available discharge rate can be determined based on the available power and available energy.

[0145] Exemplarily, the available discharge rate may be determined according to the following formula (6).

[0146] C Bat =P Bat ÷E Bat (6)

[0147] Among them, P Bat is the available power of the electrochemical cell; E Bat is the available energy of the electrochemical cell; C Bat is the available discharge rate.

[0148] The difference between the maximum power of the hybrid system and the continuous power of the fuel cell is determined as the available power P of the electrochemical cell. Bat The area above the horizontal line of the fuel cell continuous power and the typical power-time profile curve during the aircraft's work mission is determined as the available energy E of the electrochemical cell. Bat .

[0149] Step 3: Determine the peak weight power density and continuous weight power density based on the weight budget, the maximum power of the hybrid system and the continuous power of the fuel cell.

[0150] Exemplarily, the peak weight power density and the continuous weight power density may be determined according to the following formulas (7) and (8).

[0151] p powertrain-max =P flight-max ÷m Powertrain (7)

[0152] p powertrain-cont =P flight-cont ÷m Powertrain (8)

[0153] Among them, m Powertrain Weight budget for hybrid power system for aircraft; P flight-max is the maximum power of the hybrid system; P flight-cont is the continuous power of the fuel cell; p powertrain-max is the peak weight power density (i.e. the weight power density of the hybrid system at maximum power); p powertrain-cont is the continuous weight power density (i.e., the weight power density of the hybrid system when operating at the continuous power of the fuel cell).

[0154] S502, determining a first parameter matching point according to the available discharge rate, the relationship two-dimensional graph and the second performance boundary line.

[0155] Exemplarily, based on the relationship two-dimensional graph, a rate straight line corresponding to the available discharge rate is determined; and the intersection of the rate straight line and the second performance boundary is determined as the first parameter matching point.

[0156] like Fig.11 The figure shows a schematic diagram of the first parameter matching point.

[0157] According to the available discharge rate C of the electrochemical cell Bat, on the two-dimensional graph of the relationship between energy density and power density, draw a straight line where the discharge rate of the electrochemical battery is equal to this discharge rate; this straight line must have an intersection with the second performance boundary line of the electrochemical battery power system, and the area surrounded by this straight line, the second performance boundary line, and the energy density axis is the possible value area of ​​the electrochemical battery power system part in the hybrid power system; the maximum power density in this area is a single point, and this point is taken as the first parameter matching point of the electrochemical battery power system part, and its power density is p Bat-EP-fit , whose energy density is e Bat-EP-fit .

[0158] S503, determining a second parameter matching point according to the first parameter matching point, the peak weight power density, the continuous weight power density, the relationship two-dimensional graph and the first performance boundary.

[0159] Exemplarily, the continuous power density of the hydrogen fuel cell power system is determined based on the first parameter matching point, the peak weight power density and the continuous weight power density; the continuous power density straight line corresponding to the continuous power density is determined based on the two-dimensional relationship graph; and the intersection of the continuous power density straight line and the first performance boundary line is determined as the second parameter matching point.

[0160] Optionally, the continuous power density of the hydrogen fuel cell power system can be determined according to the following formulas (9)-(11).

[0161] k Bat-EP = (p powertrain-max -p powertrain-cont )÷p Bat-EP-fit (9)

[0162] k H2-FC-EP = 1-k BAT-EP (10)

[0163] p H2-FC-EP = p powertrain-cont ÷k H2-FC-EP (11)

[0164] Among them, k Bat-EP is the weight share of the electrochemical battery power system in the hybrid system; k H2-FC-EP is the weight share of the hydrogen fuel cell power system in the hybrid system.

[0165] On the two-dimensional graph of energy density-power density, draw a vertical line p representing the continuous power density. H2-FC-EP , if the continuous power density is less than the comprehensive power density p of the hydrogen fuel cell power system FC-EP, then the vertical line must have an intersection with the first performance boundary line of the hydrogen fuel cell power system, and the area surrounded by the vertical line, the first performance boundary line, and the power density axis is the possible value area of ​​the hydrogen fuel cell power system part of the hybrid system, such as Fig.12 As shown; the maximum energy density in this area is a single point, which is taken as the parameter matching point of the hydrogen fuel cell power system, and its power density is p H2-FC-EP-fit , whose energy density is e H2-FC-EP-fit .

[0166] In the parameter determination method provided in the embodiment of the present application, the available discharge rate of the electrochemical battery and the peak weight power density and continuous weight power density of the hybrid system are determined according to the preset performance parameter values ​​of the system; the first parameter matching point is determined according to the available discharge rate, the relationship two-dimensional graph and the second performance boundary line; the second parameter matching point is determined according to the first parameter matching point, the peak weight power density, the continuous weight power density, the relationship two-dimensional graph and the first performance boundary line. In this method, the first parameter matching point and the second parameter matching point are still determined by drawing in the relationship two-dimensional graph, which provides data support for the subsequent determination of the optimal performance parameter value of the hybrid system.

[0167] After determining the first parameter matching point and the second parameter matching point, the system parameter matching point of the hybrid system can be determined according to the first parameter matching point and the second parameter matching point, and then the optimal performance parameter value can be determined according to the system parameter matching point. Based on this, the following embodiment describes the method of determining the optimal performance parameter.

[0168] In an exemplary embodiment, Fig.13 As shown, according to the first parameter matching point and the second parameter matching point, determining the optimal performance parameter value includes:

[0169] S601, determining a peak power density straight line corresponding to a peak weight power density of a hybrid power system according to the two-dimensional relationship graph.

[0170] S602: Determine the intersection of the peak power density straight line and the line connecting the first parameter matching point and the second parameter matching point as the system parameter matching point of the hybrid power system.

[0171] According to the peak weight power density p of the hybrid system powertrain-max , on the two-dimensional graph of energy density-power density, draw a vertical line representing the power density; connect the first parameter matching point and the second parameter matching point with a straight line segment; if the vertical line and the straight line segment have an intersection (usually there is), take this point as the parameter matching point of the hybrid system, such as Fig.14As shown in the figure, the power density and energy density corresponding to the matching point are the performance indicators of the hybrid power system after matching, and its power density is p HySys-fit , whose energy density is e HySys-fit .

[0172] Furthermore, in the same two-dimensional diagram of the relationship between energy density and power density, the first performance boundary line, the second performance boundary line, the first parameter matching point, the second parameter matching point, the rate straight line, the continuous power density straight line, and the peak power density straight line are simultaneously drawn, and the matching points when the hydrogen fuel cell power system works alone and the electrochemical battery power system works alone are respectively drawn, such as Fig.15 As shown, the superiority of the performance of the hybrid system compared to the non-hybrid system can be intuitively compared; among them, the power density of the pure fuel cell power system and the pure electrochemical battery power system is also equal to p HySys-fit , and the energy density is equal to e FCSys-fit and e BatSys-fit .

[0173] S603: Determine the optimal performance parameter value according to the system parameter matching point.

[0174] Exemplarily, based on the first parameter matching point and the second performance boundary line, the type of electrochemical battery corresponding to the first parameter matching point is determined; the performance parameter values ​​corresponding to the type of electrochemical battery, and the power density and energy density corresponding to the system parameter matching point are determined as optimal performance parameter values.

[0175] The calculated first parameter matching point of the electrochemical battery power system is plotted on the graph of the second performance boundary line of the electrochemical battery power system, and the weight power density-weight energy density relationship curve of the electrochemical battery power system that matches the first parameter matching point is found; then this type of electrochemical battery is the type of matching electrochemical battery, and its available discharge rate and its weight share in the hybrid power system have been given in the above calculation; the calculated second parameter matching point of the hydrogen fuel cell power system gives the respective weight shares of the hydrogen fuel cell power system.

[0176] Further, determine whether to traverse different fuel cell continuous powers; if not, return to execute the step of determining the available discharge rate of the electrochemical battery and the peak weight power density and continuous weight power density of the hybrid system according to the system preset performance parameter value.

[0177] By taking different fuel cell continuous powers and repeating the following steps, the hybrid power system matching point and its performance corresponding to each fuel cell continuous power level can be obtained, and the optimal performance parameter value can be determined eventually. Generally speaking, when the fuel cell continuous power is equal to the power level of long-term continuous operation during the aircraft's working mission, the performance of the hybrid power system matching point is the best, and the energy density is the highest under the premise that the power density meets the requirements.

[0178] In the parameter determination method provided in the embodiment of the present application, the peak power density straight line corresponding to the peak weight power density of the hybrid system is determined according to the relationship two-dimensional graph; the intersection of the peak power density straight line and the line between the first parameter matching point and the second parameter matching point is determined as the system parameter matching point of the hybrid system; and the optimal performance parameter value is determined according to the system parameter matching point. In this method, based on the first parameter matching point and the second parameter matching point, the system parameter matching point is found in the relationship two-dimensional graph, and then the optimal performance parameter value can be determined based on the system parameter matching point.

[0179] In addition, in an exemplary embodiment, the present application also provides an optional example of a parameter determination method, such as Fig.16 As shown, the following steps may be included:

[0180] S701, obtaining component performance parameter values ​​of multiple key components in a hybrid power system.

[0181] Among them, the performance parameter values ​​of each component include the performance parameter values ​​of the fuel cell, the performance parameter values ​​of the hydrogen storage device, the performance parameter values ​​of the electric propulsion system, the performance parameter values ​​of the electrochemical battery, and the system preset performance parameter values.

[0182] S702, determining a first performance boundary line in a two-dimensional relationship diagram according to the fuel cell performance parameter value, the hydrogen storage device performance parameter value and the electric propulsion system performance parameter value.

[0183] S703, determining a second performance boundary line in the relationship two-dimensional graph according to the electric propulsion system performance parameter value and the electrochemical battery performance parameter value.

[0184] S704, determining the available discharge rate of the electrochemical battery and the peak weight power density and continuous weight power density of the hybrid power system according to the preset performance parameter values ​​of the system.

[0185] S705 , determining a first parameter matching point according to the available discharge rate, the relationship two-dimensional graph, and the second performance boundary line.

[0186] S706, determining a second parameter matching point according to the first parameter matching point, the peak weight power density, the continuous weight power density, the relationship two-dimensional graph and the first performance boundary line.

[0187] S707 , determining a peak power density straight line corresponding to the peak weight power density of the hybrid power system according to the two-dimensional relationship graph.

[0188] S708: Determine the intersection of the peak power density straight line and the line connecting the first parameter matching point and the second parameter matching point as the system parameter matching point of the hybrid power system.

[0189] S709: Determine the optimal performance parameter value according to the system parameter matching point.

[0190] The above process of S701-S709 can refer to the description of the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0191] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0192] Based on the same inventive concept, the embodiment of the present application also provides a parameter determination device for implementing the parameter determination method involved above. The implementation solution provided by the device to solve the problem is similar to the implementation solution recorded in the above method, so the specific limitations in one or more parameter determination device embodiments provided below can refer to the limitations of the parameter determination method above, and will not be repeated here.

[0193] In an exemplary embodiment, Fig.17 As shown, a parameter determination device 1 is provided, comprising: a parameter acquisition module 10, a first determination module 20 and a second determination module 30, wherein:

[0194] A parameter acquisition module 10 is used to acquire component performance parameter values ​​of multiple key components in the hybrid power system;

[0195] A first determination module 20, for determining a plurality of performance boundary lines in a two-dimensional diagram of a relationship between power density and energy density of a hybrid power system according to performance parameter values ​​of each component;

[0196] The second determination module 30 is used to determine the optimal performance parameter value of the hybrid power system according to a plurality of performance boundary lines.

[0197] In one embodiment, the first determining module 20 is further configured to:

[0198] A first performance boundary line is determined in the two-dimensional relationship diagram according to the performance parameter values ​​of the fuel cell, the performance parameter values ​​of the hydrogen storage device and the performance parameter values ​​of the electric propulsion system; a second performance boundary line is determined in the two-dimensional relationship diagram according to the performance parameter values ​​of the electric propulsion system and the performance parameter values ​​of the electrochemical cell; the first performance boundary line and the second performance boundary line are determined as multiple performance boundary lines.

[0199] In one embodiment, the first determining module 20 is further configured to:

[0200] The effective energy density of the hydrogen storage device is determined based on the continuous working efficiency and weight energy density; the comprehensive power density of the hydrogen fuel cell power system is determined based on the continuous weight power density and weight power density; the first performance boundary line is determined based on the effective energy density, comprehensive power density and the two-dimensional relationship diagram.

[0201] In one embodiment, the first determining module 20 is further configured to:

[0202] Determine the points corresponding to the effective energy density and the points corresponding to the comprehensive power density on the two-dimensional relationship graph; determine the straight line between the points corresponding to the effective energy density and the points corresponding to the comprehensive power density on the two-dimensional relationship graph as the first performance boundary line.

[0203] In one embodiment, the first determining module 20 is further configured to:

[0204] According to each first relationship curve and weight power density, a second relationship curve of an electrochemical battery power system corresponding to multiple types of electrochemical batteries is determined; the second relationship curve represents the relationship between the weight power density and the weight energy density of each electrochemical battery power system; according to the second relationship curve of each electrochemical battery power system, an envelope of each second relationship curve is drawn in a two-dimensional relationship diagram to obtain a second performance boundary line.

[0205] In one embodiment, the second determining module 30 is further configured to:

[0206] According to the first performance boundary line, the second performance boundary line and the performance parameter values ​​of each component, the first parameter matching point of the electrochemical battery power system and the second parameter matching point of the hydrogen fuel cell power system are determined; according to the first parameter matching point and the second parameter matching point, the optimal performance parameter value is determined.

[0207] In one embodiment, the second determining module 30 is further configured to:

[0208] According to the preset performance parameter values ​​of the system, the available discharge rate of the electrochemical battery and the peak weight power density and continuous weight power density of the hybrid power system are determined; according to the available discharge rate, the relationship two-dimensional graph and the second performance boundary line, the first parameter matching point is determined; according to the first parameter matching point, the peak weight power density, the continuous weight power density, the relationship two-dimensional graph and the first performance boundary line, the second parameter matching point is determined.

[0209] In one embodiment, the second determining module 30 is further configured to:

[0210] According to the power-time profile, the maximum power in the power-time profile is determined as the maximum power of the hybrid system, and the power in the power-time profile that is less than the maximum power of the hybrid system is determined as the continuous power of the fuel cell; the available discharge rate is determined according to the maximum power of the hybrid system, the continuous power of the fuel cell and the power-time profile; the peak weight power density and the continuous weight power density are determined according to the weight budget, the maximum power of the hybrid system and the continuous power of the fuel cell.

[0211] In one embodiment, the second determining module 30 is further configured to:

[0212] The available power of the electrochemical cell is determined based on the maximum power of the hybrid system and the continuous power of the fuel cell; the available energy of the electrochemical cell is determined based on the continuous power and power time profile of the fuel cell; and the available discharge rate is determined based on the available power and available energy.

[0213] In one embodiment, the second determining module 30 is further configured to:

[0214] According to the relationship two-dimensional graph, a rate straight line corresponding to the available discharge rate is determined; and the intersection of the rate straight line and the second performance boundary is determined as the first parameter matching point.

[0215] In one embodiment, the second determining module 30 is further configured to:

[0216] According to the first parameter matching point, the peak weight power density and the continuous weight power density, the continuous power density of the hydrogen fuel cell power system is determined; according to the two-dimensional relationship diagram, the continuous power density straight line corresponding to the continuous power density is determined; the intersection of the continuous power density straight line and the first performance boundary line is determined as the second parameter matching point.

[0217] In one embodiment, the second determining module 30 is further configured to:

[0218] According to the two-dimensional relationship diagram, the peak power density straight line corresponding to the peak weight power density of the hybrid system is determined; the intersection of the peak power density straight line and the line between the first parameter matching point and the second parameter matching point is determined as the system parameter matching point of the hybrid system; according to the system parameter matching point, the optimal performance parameter value is determined.

[0219] In one embodiment, the second determining module 30 is further configured to:

[0220] According to the first parameter matching point and the second performance boundary line, the type of electrochemical battery corresponding to the first parameter matching point is determined; the performance parameter value corresponding to the type of electrochemical battery, and the power density and energy density corresponding to the system parameter matching point are determined as the optimal performance parameter values.

[0221] In one embodiment, the parameter determination device 1 further includes:

[0222] A power traversal module, used to determine whether to traverse different fuel cell continuous powers;

[0223] The density determination module is used to return to the step of determining the available discharge rate of the electrochemical battery and the peak weight power density and continuous weight power density of the hybrid power system according to the preset performance parameter value of the system if no.

[0224] Each module in the above parameter determination device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0225] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0226] Obtain component performance parameter values ​​of multiple key components in a hybrid power system;

[0227] According to the performance parameter values ​​of each component, a plurality of performance boundary lines are determined in a two-dimensional diagram of the relationship between power density and energy density of the hybrid power system;

[0228] According to a plurality of performance boundary lines, optimal performance parameter values ​​of the hybrid power system are determined.

[0229] The implementation principles and technical effects of each step implemented by the processor in the embodiment of the present application are similar to the principles of the above-mentioned parameter determination method and will not be repeated here.

[0230] In an exemplary embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0231] Obtain component performance parameter values ​​of multiple key components in a hybrid power system;

[0232] According to the performance parameter values ​​of each component, a plurality of performance boundary lines are determined in a two-dimensional diagram of the relationship between power density and energy density of the hybrid power system;

[0233] According to a plurality of performance boundary lines, optimal performance parameter values ​​of the hybrid power system are determined.

[0234] The implementation principles and technical effects of the various steps implemented when the computer program in the embodiment of the present application is executed by the processor are similar to the principles of the above-mentioned parameter determination method and will not be repeated here.

[0235] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0236] Obtain component performance parameter values ​​of multiple key components in a hybrid power system;

[0237] According to the performance parameter values ​​of each component, a plurality of performance boundary lines are determined in a two-dimensional diagram of the relationship between power density and energy density of the hybrid power system;

[0238] According to a plurality of performance boundary lines, optimal performance parameter values ​​of the hybrid power system are determined.

[0239] The implementation principles and technical effects of the various steps implemented when the computer program in the embodiment of the present application is executed by the processor are similar to the principles of the above-mentioned parameter determination method and will not be repeated here.

[0240] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0241] 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, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, 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. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0242] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0243] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A parameter determination method, characterized in that: The method comprises: Obtaining component performance parameter values ​​of multiple key components in the hybrid power system; each of the component performance parameter values ​​includes a fuel cell performance parameter value, a hydrogen storage device performance parameter value, an electric propulsion system performance parameter value, and an electrochemical cell performance parameter value; Determining a first performance boundary line in a two-dimensional diagram of a relationship between power density and energy density of the hybrid power system according to the fuel cell performance parameter value, the hydrogen storage device performance parameter value, and the electric propulsion system performance parameter value; Determining a second performance boundary line in the relationship two-dimensional graph according to the electric propulsion system performance parameter value and the electrochemical battery performance parameter value; An optimal performance parameter value of the hybrid power system is determined according to the first performance boundary line and the second performance boundary line.

2. The method according to claim 1, characterized in that The fuel cell performance parameter value includes the continuous weight power density and continuous working efficiency of the fuel cell; the hydrogen storage device performance parameter value includes the weight energy density of the hydrogen storage device; The electric propulsion system performance parameter value includes the weight power density of the electric propulsion system; Determining the first performance boundary line in the relationship two-dimensional graph according to the fuel cell performance parameter value, the hydrogen storage device performance parameter value, and the electric propulsion system performance parameter value includes: Determining the effective energy density of the hydrogen storage device according to the continuous working efficiency and the weight energy density; Determining the comprehensive power density of the hydrogen fuel cell power system according to the continuous weight power density and the weight power density; The first performance boundary line is determined based on the effective energy density, the comprehensive power density and the two-dimensional relationship graph.

3. The method according to claim 2, characterized in that The determining the first performance boundary line according to the effective energy density, the comprehensive power density and the two-dimensional relationship graph comprises: Determine the point corresponding to the effective energy density and the point corresponding to the comprehensive power density on the two-dimensional relationship graph; The straight line between the point corresponding to the effective energy density and the point corresponding to the comprehensive power density on the two-dimensional relationship graph is determined as the first performance boundary line.

4. The method according to claim 1, characterized in that The electric propulsion system performance parameter value includes the weight power density of the electric propulsion system; the electrochemical battery performance parameter value includes a first relationship curve between the weight energy density and the weight power density of multiple types of electrochemical batteries; Determining a second performance boundary line in the two-dimensional relationship diagram according to the electric propulsion system performance parameter value and the electrochemical battery performance parameter value includes: Determining a second relationship curve of an electrochemical battery power system corresponding to the multiple types of electrochemical batteries according to each of the first relationship curves and the weight power density; The second relationship curve represents the relationship between the weight power density and the weight energy density of each of the electrochemical battery power systems; According to the second relationship curve of each electrochemical battery power system, the envelope of each second relationship curve is drawn in the relationship two-dimensional graph to obtain the second performance boundary line.

5. The method according to any one of claims 1 to 4, characterized in that: Determining the optimal performance parameter value of the hybrid power system according to the first performance boundary line and the second performance boundary line includes: Determining a first parameter matching point of an electrochemical battery power system in the hybrid power system and a second parameter matching point of a hydrogen fuel cell power system in the hybrid power system according to the first performance boundary line, the second performance boundary line and the performance parameter values ​​of each component; The optimal performance parameter value is determined according to the first parameter matching point and the second parameter matching point.

6. The method according to claim 5, characterized in that The performance parameter values ​​of each component include system preset performance parameter values; determining a first parameter matching point of the electrochemical battery power system in the hybrid power system and a second parameter matching point of the hydrogen fuel cell power system in the hybrid power system according to the first performance boundary line, the second performance boundary line and the performance parameter values ​​of each component, comprises: Determining the available discharge rate of the electrochemical battery and the peak weight power density and continuous weight power density of the hybrid power system according to the preset performance parameter values ​​of the system; Determining the first parameter matching point according to the available discharge rate, the two-dimensional relationship graph and the second performance boundary line; The second parameter matching point is determined according to the first parameter matching point, the peak weight power density, the continuous weight power density, the relationship two-dimensional graph and the first performance boundary line.

7. The method according to claim 6, characterized in that The system preset performance parameter values ​​include the power time profile of the matched power-consuming object during the working task, and the weight budget of the power-consuming object for the hybrid power system; The method of determining the available discharge rate of the electrochemical battery and the peak weight power density and continuous weight power density of the hybrid power system according to the preset performance parameter value of the system includes: According to the power-time profile, determining the maximum power in the power-time profile as the maximum power of the hybrid power system, and determining the power in the power-time profile that is less than the maximum power of the hybrid power system as the continuous power of the fuel cell; Determining the available discharge rate according to the maximum power of the hybrid power system, the continuous power of the fuel cell and the power time profile; The peak weight power density and the continuous weight power density are determined according to the weight budget, the maximum power of the hybrid system and the continuous power of the fuel cell.

8. The method according to claim 7, characterized in that The determining the available discharge rate according to the maximum power of the hybrid power system, the continuous power of the fuel cell and the power time profile includes: Determining the available power of the electrochemical battery according to the maximum power of the hybrid system and the continuous power of the fuel cell; determining the available energy of the electrochemical cell based on the fuel cell continuous power and the power time profile; The available discharge rate is determined according to the available power and the available energy.

9. The method according to claim 6, characterized in that The determining the first parameter matching point according to the available discharge rate, the relationship two-dimensional graph and the second performance boundary line includes: Determining a rate straight line corresponding to the available discharge rate according to the two-dimensional relationship diagram; The intersection point of the magnification straight line and the second performance boundary is determined as the first parameter matching point.

10. The method according to claim 6, characterized in that The determining the second parameter matching point according to the first parameter matching point, the peak weight power density, the continuous weight power density, the relationship two-dimensional graph and the first performance boundary line includes: Determining the continuous power density of the hydrogen fuel cell power system according to the first parameter matching point, the peak weight power density and the continuous weight power density; Determine a continuous power density straight line corresponding to the continuous power density according to the two-dimensional relationship diagram; The intersection of the continuous power density straight line and the first performance boundary line is determined as the second parameter matching point.

11. The method according to claim 5, characterized in that The determining the optimal performance parameter value according to the first parameter matching point and the second parameter matching point includes: Determining a peak power density straight line corresponding to the peak weight power density of the hybrid power system according to the two-dimensional relationship diagram; Determine the intersection of the peak power density straight line and the line connecting the first parameter matching point and the second parameter matching point as the system parameter matching point of the hybrid power system; The optimal performance parameter value is determined according to the system parameter matching point.

12. The method according to claim 11, characterized in that Determining the optimal performance parameter value according to the system parameter matching point includes: Determining the type of the electrochemical cell corresponding to the first parameter matching point according to the first parameter matching point and the second performance boundary line; The performance parameter values ​​corresponding to the electrochemical battery of the type, and the power density and energy density corresponding to the system parameter matching point are determined as the optimal performance parameter values.

13. The method according to claim 12, characterized in that The method further comprises: determining whether to traverse different fuel cell continuous powers; If not, the method returns to the step of determining the available discharge rate of the electrochemical battery and the peak weight power density and continuous weight power density of the hybrid power system according to the preset performance parameter value of the system.

14. A parameter determination device, characterized in that: The device comprises: A parameter acquisition module, used to acquire component performance parameter values ​​of multiple key components in the hybrid power system; each of the component performance parameter values ​​includes a fuel cell performance parameter value, a hydrogen storage device performance parameter value, an electric propulsion system performance parameter value, and an electrochemical battery performance parameter value; A first determination module is configured to determine a first performance boundary line in a two-dimensional diagram of a relationship between power density and energy density of the hybrid power system according to the fuel cell performance parameter value, the hydrogen storage device performance parameter value, and the electric propulsion system performance parameter value; and to determine a second performance boundary line in the two-dimensional diagram of a relationship according to the electric propulsion system performance parameter value and the electrochemical battery performance parameter value; The second determination module is used to determine the optimal performance parameter value of the hybrid power system according to the first performance boundary line and the second performance boundary line.

15. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 13 are implemented.

16. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 13 are implemented.

17. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 13 are implemented.

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