Multi-source composite power supply ground electric vehicle energy management method, controller and vehicle

Abstract

The application provides a multi-source composite power supply ground electric vehicle energy management method, a controller and a vehicle, which first acquires a load demand power and simultaneously acquires a state of charge of each power source; then predicts a target demand power of the vehicle in a target period according to the load demand power; then calculates a first output power of a fuel cell according to the target demand power; then determines a second output power of the fuel cell, a third output power of a lithium battery and a fourth output power of a super capacitor according to the state of charge, the first output power and the current load demand power; and controls the power source system. The application makes the output of the fuel cell follow the load change as much as possible according to the current load demand power, simultaneously predicts the target demand power, calculates the first output power needed by the fuel cell to output, and makes the following process of the fuel cell as smooth and stable as possible according to the first output power, so as to effectively improve the service life of the fuel cell and reduce the cost of the vehicle.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of new energy vehicles, and particularly relates to a multi-source composite power supply ground electric vehicle energy management method, a controller and a vehicle. BACKGROUND

[0002] Fuel cells have the advantages of high efficiency, large specific energy and convenient installation, and have been widely used in new energy vehicles. However, due to the soft output characteristics and slow dynamic response of fuel cells, a corresponding auxiliary power supply is usually configured to play the role of "peak clipping and valley filling", forming a multi-energy coupling system to ensure that the fuel cell vehicle can adapt to different instantaneous power, thereby improving the anti-impact load capacity and climbing ability of the fuel cell vehicle.

[0003] The existing multi-energy coupling system is usually based on the maximum cruising range or the minimum equivalent hydrogen consumption as the target, and sets the corresponding control logic. When the vehicle is under high load, the state of the fuel cell is in a frequent deep charge and discharge state, which accelerates the aging of the battery, resulting in the need for frequent replacement of the battery of the vehicle, and the cost is high. SUMMARY

[0004] Therefore, the present application provides a multi-source composite power supply ground electric vehicle energy management method, a controller and a vehicle, which aims to solve the problem of battery aging in the prior art, resulting in the need for frequent replacement of the battery of the vehicle and high cost.

[0005] The first aspect of the embodiment of the present application provides a multi-source composite power supply ground electric vehicle energy management method, comprising:

[0006] Obtaining the load demand power of the vehicle, and simultaneously obtaining the state of charge of each power source in the power source system;

[0007] Predicting the target demand power of the vehicle in a target period according to the load demand power;

[0008] Calculating the first output power of the fuel cell according to the target demand power;

[0009] According to the state of charge of each power source, the first output power and the current load demand power, determining the second output power of the fuel cell, the third output power of the lithium battery and the fourth output power of the super capacitor;

[0010] Controlling the power source system according to the second output power, the third output power and the fourth output power.

[0011] The second aspect of the embodiment of the present application provides a multi-source composite power supply ground electric vehicle energy management device, comprising:

[0012] An acquisition module is configured to acquire a load demand power of the vehicle and acquire a state of charge of each power source in the power source system;

[0013] A prediction module is configured to predict a target demand power of the vehicle in a target period according to the load demand power;

[0014] A calculation module is configured to calculate a first output power of the fuel cell according to the target demand power;

[0015] A determination module is configured to determine a second output power of the fuel cell, a third output power of the lithium battery and a fourth output power of the super capacitor according to the state of charge of each power source, the first output power and the current load demand power;

[0016] A control module is configured to control the power source system according to the second output power, the third output power and the fourth output power.

[0017] The third aspect of the embodiment of the present application provides a controller, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the energy management method of the multi-source composite power supply ground electric vehicle, the controller and the vehicle according to the first aspect.

[0018] The fourth aspect of the embodiment of the present application provides a multi-source composite power supply ground electric vehicle, which comprises a power source system and the controller according to the third aspect; the power source system comprises a fuel cell, a lithium battery and a super capacitor; and the controller is connected with the power source system.

[0019] The fifth aspect of the embodiment of the present application provides a computer readable storage medium, characterized in that the computer readable storage medium stores a computer program, and the computer program is executable on a processor to implement the steps of the energy management method of the multi-source composite power supply ground electric vehicle, the controller and the vehicle according to the first aspect.

[0020] The multi-source composite power supply ground electric vehicle energy management method, controller and vehicle provided by the embodiment of the present application firstly acquire the load demand power of the vehicle, and simultaneously acquire the state of charge of each power source in the power source system; then the target demand power of the vehicle in a target period is predicted according to the load demand power; next the first output power of the fuel cell is calculated according to the target demand power; then the second output power of the fuel cell, the third output power of the lithium battery and the fourth output power of the super capacitor are determined according to the state of charge of each power source, the first output power and the current load demand power; finally the power source system is controlled according to the second output power, the third output power and the fourth output power. The present application controls the output according to the current load demand power, so that the output of the fuel cell can follow the load change as much as possible, and the target demand power of the vehicle is predicted, the first output power which the fuel cell needs to output is calculated, and the following process of the fuel cell is made as smooth and stable as possible according to the first output power, so that the service life of the fuel cell is effectively improved and the cost of the vehicle is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0022] Figure 1 is a structural schematic diagram of the multi-source composite power supply ground electric vehicle provided by the embodiment of the present application;

[0023] Figure 2 is an energy source structural schematic diagram of the electric vehicle provided by the embodiment of the present application;

[0024] Figure 3 is an implementation flowchart of the multi-source composite power supply ground electric vehicle energy management method provided by the embodiment of the present application;

[0025] Figure 4 is a structural schematic diagram of the multi-source composite power supply ground electric vehicle energy management device provided by the embodiment of the present application;

[0026] Figure 5 is a structural schematic diagram of the controller provided by the embodiment of the present application. DETAILED DESCRIPTION

[0027] In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular architectures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application can be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known methods, devices, circuits, and

[0028] Figure 1 is a structural schematic diagram of a multi-source composite power supply ground electric vehicle provided by an embodiment of the present application. Figure 2 is a schematic diagram of an energy source structure of an electric vehicle provided by an embodiment of the present application. As shown in Figure 1 and Figure 2 In some embodiments, the multi-source composite power supply ground electric vehicle includes a power source system 11 and a controller 12; the power source system 11 includes a fuel cell, a lithium battery and a super capacitor; and the controller 12 is connected with the power source system.

[0029] In an embodiment of the present application, the power source system 11 is connected with a traction motor and an auxiliary system of the vehicle. The controller 12 can be a vehicle controller or a controller of an energy management system specially arranged, and can be an MCU, etc., which is not limited here. The fuel cell can be a hydrogen-oxygen fuel cell or a solid oxide fuel cell, which is not limited here. The controller 12 is connected with each power source in the power source system 11, which can be connected through a DCDC converter or connected through a DCDC converter and a bus, and is adaptively arranged according to the vehicle, which is not limited here.

[0030] Figure 3 is an implementation flowchart of a multi-source composite power supply ground electric vehicle energy management method provided by an embodiment of the present application. As shown in Figure 3 In some embodiments, a multi-source composite power supply ground electric vehicle energy management method includes:

[0031] S310, acquiring a load demand power of the vehicle, and acquiring a state of charge of each power source in the power source system.

[0032] In some embodiments, S310 includes: acquiring a current working condition of the vehicle; and calculating the load demand power of the vehicle according to the current working condition and a pre-established vehicle dynamics model.

[0033] In an embodiment of the present application, the vehicle dynamics model is as follows:

[0034] Ft=Fs+Ff+Fw+Fi+Fj (1)

[0035] Fs=mgsinα (2)

[0036] Ff = mgf cos a (3)

[0037] Fw = 0.5pACdv 2 (4)

[0038] Fj = m5dv / dt (5)

[0039]

[0040] where Ft is the total resistance of the vehicle, Fs is the slope resistance, Ff is the rolling resistance, Fw is the air resistance, Fj is the acceleration resistance, m is the mass of the vehicle, g is the acceleration of gravity, a is the angle of the slope, f is the rolling resistance coefficient, which depends on the type of tire and road conditions. p is the air density, A is the front projection area reference area of the vehicle in the direction of motion, Cd is the air resistance coefficient, v is the speed of the vehicle relative to the air, 5 is the acceleration resistance coefficient, dv / dt is the rate of change of speed with respect to time. P is the load demand power, η is the mechanical transmission efficiency, P0 is the power of the auxiliary system.

[0041] After calculating the load demand power of the vehicle, the load demand power can be distributed to each power source of the vehicle. However, due to the complexity of the actual driving scene of the vehicle, the load demand of the vehicle will change constantly. This control logic will make the output of the fuel cell follow the rapid fluctuations of the load demand. The fluctuations of the fuel cell power have a significant impact on the battery life. Frequent loading and unloading, especially large fluctuations, can cause material fatigue, thereby shortening the life of the fuel cell. Therefore, the present application introduces the following steps to smooth the output of the fuel cell.

[0042] S320, predicting the target demand power of the vehicle in a target period according to the load demand power.

[0043] In embodiments of the present application, it can be implemented by a neural network model, a long short-term memory network model, etc., which is not limited here. The target period can be any period after the current time, for example, 1 minute.

[0044] In some embodiments, S320 comprises: predicting the target demand power of the vehicle in a target period according to the load demand power and a pre-trained long short-term memory network.

[0045] S330, calculating the first output power of the fuel cell according to the target demand power.

[0046] In embodiments of the present application, after predicting the target demand power of the vehicle, the target demand power is distributed to calculate the first output power of the fuel cell, which can be implemented by an empirical mode decomposition, a wavelet decomposition, etc.

[0047] In some embodiments, the first output power of the fuel cell is calculated according to the target demand power, including: performing wavelet decomposition on the target demand power to obtain a first high-frequency power and a first low-frequency power; and determining the first output power according to the first low-frequency power.

[0048] In the embodiment of the present application, the fuel cell can be outputted smoothly according to the first output power, but there is a great uncertainty in the vehicle driving, so the predicted target demand power will have a certain error, and thus the output cannot be completely according to the predicted value.

[0049] In the embodiment of the present application, the wavelet transform is a time-frequency analysis method. Wherein, a is a scale factor (a≠0), and b is a translation factor.

[0050] For a continuous time signal x(t), the continuous wavelet transform is defined as:

[0051]

[0052] Wherein, is the conjugate function of ψ ab (t).

[0053] In the discrete case, usually ψ Wherein, m∈Z, n∈Z, a0>1, and b0>0.

[0054] When the target demand power P(t) is decomposed by the discrete wavelet, the wavelet base function is used to sample the target demand power to obtain a discrete sequence P(N). Then, the discrete wavelet transform algorithm is used to decompose P(N). In the first-level decomposition, P(N) is decomposed into a low-frequency component (i.e., the first low-frequency power) cA1(N) and a high-frequency component (i.e., the first high-frequency power) cD1(N).

[0055] Wherein, the expressions of the high-frequency component and the low-frequency component are as follows:

[0056]

[0057]

[0058] Wherein, L is the filter length, h[k] is the coefficient of the low-pass filter, and g[k] is the coefficient of the high-pass filter.

[0059] In the embodiment of the present application, the first low-frequency power is converted into a rectangular wave, and the amplitude of the rectangular wave is the first output power.

[0060] S340, determining the second output power of the fuel cell, the third output power of the lithium battery and the fourth output power of the super capacitor according to the state of charge of each power source, the first output power and the current load demand power.

[0061] In some embodiments, S340 comprises: wavelet-decomposing the current load demand power to obtain a second high-frequency power and a second low-frequency power; determining the second output power according to the state of charge of each power source, the first output power and the second low-frequency power; calculating a difference between the second low-frequency power and the second output power; superimposing the difference to the second high-frequency power, and decoupling the superimposed second high-frequency power based on a pre-set logical threshold to obtain a third high-frequency power and a third high-frequency power; taking the third high-frequency power as the third output power and the third high-frequency power as the fourth output power.

[0062] In the embodiments of the present application, the low-frequency power after wavelet decomposition is relatively stable, which can be involved in the calculation of the output power of the fuel cell, and the remaining demand power is respectively borne by the lithium battery and the super capacitor as auxiliary power sources. The calculation of the second high-frequency power and the second low-frequency power is the same as the principle of S330 described above, which will not be described here.

[0063] In the embodiments of the present application, the power fluctuation ratio λ is defined, and the logical threshold rule is as follows:

[0064] λ=(P2-P li ) / P li (10)

[0065] Wherein, P2 is the superimposed second high-frequency power, P li is the set power of the lithium battery. The calculated fluctuation ratio is compared with the threshold, and the power greater than the threshold belongs to the third high-frequency power, and the remaining part belongs to the third high-frequency power.

[0066] In some embodiments, determining the second output power according to the state of charge of each power source, the first output power and the second low-frequency power comprises: when the state of charge of the fuel cell is greater than a first pre-set threshold, the state of charge of the lithium battery is greater than a second pre-set threshold, and the state of charge of the super capacitor is greater than a third pre-set threshold, the first output power and the second low-frequency power are weighted and summed to obtain the second output power.

[0067] In the embodiments of the present application, when the states of charge of the fuel cell, the lithium battery and the super capacitor are all sufficient, the first output power and the second low-frequency power are weighted and summed to obtain a smoother and more stable output power curve. The weight function of the weighted sum can be a Gaussian weight function, that is, the weight decreases with the increase of frequency.

[0068] Specifically, the two power curves can be divided into multiple segments, the frequencies of the segments of the first output power and the second low-frequency power are calculated, then a higher weight is given to the power curve with smaller frequency by using a Gaussian weight function, the two power curves are uniformly and synchronously sampled, the values of the sampling points are weighted and summed, and then a new curve is fitted, so that the low-frequency parts of the two power curves are integrated, the fused power curve is smoothed, the output fluctuation of the fuel cell is reduced, and the service life of the fuel cell is improved.

[0069] After the output of the fuel cell is smoothed, the remaining part is borne by the auxiliary power source, that is, the difference between the second low-frequency power and the second output power is calculated, and the difference is added to the second high-frequency power, so that the power borne by the lithium battery and the super capacitor as the auxiliary power source is obtained.

[0070] Specifically, the second high-frequency power after superposition can be decoupled by a logic threshold. The third high-frequency power in the second high-frequency power is allocated to the lithium battery by using a logic threshold rule, and the third high-frequency power is allocated to the super capacitor. When a power surge occurs, if the demand power and its fluctuation ratio are within the allowable threshold, the lithium battery outputs all the power. When the demand power or its fluctuation ratio exceeds the allowable threshold, the lithium battery only outputs the power within the regular fluctuation ratio threshold, and the part exceeding the threshold is provided by the super capacitor.

[0071] When the state of charge of the lithium battery or the super capacitor is insufficient, the output of the fuel cell can be controlled in the following manner:

[0072] In some embodiments, the second output power is determined according to the state of charge of each power source, the first output power and the second low-frequency power, including: when the state of charge of the lithium battery is not greater than a second preset threshold or the state of charge of the super capacitor is not greater than a third preset threshold, the maximum output power of the fuel cell is taken as the second output power.

[0073] In the embodiment of the application, the fuel cell works in a maximum output state or a preset fixed output value (which can meet the demand power of the load), and the remaining part of the output power charges the lithium battery and / or the super capacitor after meeting the current demand power of the load. In this state, the fuel cell can also output smoothly, but due to the fluctuation of the demand power of the load, the charging power to the lithium battery will also fluctuate, thereby reducing the service life of the lithium battery.

[0074] In some embodiments, when the fuel cell supplies power to the load and the lithium battery at the same time, a power difference between the output power of the fuel cell and the load demand power can be calculated, the power difference can be decomposed by wavelet to obtain a fourth low-frequency power and a fourth high-frequency power, the fourth low-frequency power can be charged to the lithium battery, and the fourth high-frequency power can be charged to the super capacitor. When the state of charge of the super capacitor is greater than a fourth preset threshold, the super capacitor is fully charged, and no longer bears the high-frequency power for the lithium battery, that is, the power difference between the output power of the fuel cell and the load demand power is all charged to the lithium battery. When the state of charge of the lithium battery is greater than a fifth preset threshold, the lithium battery is fully charged, and the working mode of weighting and summing the first output power and the second low-frequency power to obtain the second output power is restored. The fourth preset threshold is greater than the third preset threshold, and the fifth preset threshold is greater than the second preset threshold.

[0075] When the state of charge of the fuel cell is less than the first preset threshold and the state of charge of the lithium battery is not less than the second preset threshold, the fuel cell is switched from the main power source to the auxiliary power source, and the lithium battery is switched from the auxiliary power source to the main power source.

[0076] S350, controlling the power source system according to the second output power, the third output power and the fourth output power.

[0077] It should be understood that the size of the serial number of each step in the above embodiments does not mean the order of execution, and the execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0078] Figure 4 is a structural schematic diagram of the multi-source composite power supply ground electric vehicle energy management device provided by the embodiments of the present application. As shown in Figure 4 In some embodiments, the multi-source composite power supply ground electric vehicle energy management device 4 comprises:

[0079] The acquisition module 410 is configured to acquire the load demand power of the vehicle and the state of charge of each power source in the power source system;

[0080] The prediction module 420 is configured to predict the target demand power of the vehicle in a target period according to the load demand power;

[0081] The calculation module 430 is configured to calculate the first output power of the fuel cell according to the target demand power;

[0082] The determination module 440 is configured to determine the second output power of the fuel cell, the third output power of the lithium battery and the fourth output power of the super capacitor according to the state of charge of each power source, the first output power and the current load demand power;

[0083] The control module 450 is configured to control the power source system according to the second output power, the third output power and the fourth output power.

[0084] Optionally, the calculation module 430 is configured to perform wavelet decomposition on the target demand power to obtain a first high-frequency power and a first low-frequency power; and determine the first output power according to the first low-frequency power.

[0085] Optionally, the determination module 440 is configured to perform wavelet decomposition on the current load demand power to obtain a second high-frequency power and a second low-frequency power; determine the second output power according to the state of charge of each power source, the first output power and the second low-frequency power; calculate a difference between the second low-frequency power and the second output power; superimpose the difference to the second high-frequency power, and decouple the superimposed second high-frequency power based on a pre-set logical threshold to obtain a third high-frequency power and a third high-frequency power; take the third high-frequency power as the third output power, and take the third high-frequency power as the fourth output power.

[0086] Optionally, the determination module 440 is configured to, when the state of charge of the fuel cell is greater than a first pre-set threshold, the state of charge of the lithium battery is greater than a second pre-set threshold, and the state of charge of the super capacitor is greater than a third pre-set threshold, perform weighted summation on the first output power and the second low-frequency power to obtain the second output power.

[0087] Optionally, the determination module 440 is configured to, when the state of charge of the lithium battery is not greater than the second pre-set threshold or the state of charge of the super capacitor is not greater than the third pre-set threshold, take the maximum output power of the fuel cell as the second output power.

[0088] Optionally, the prediction module 420 is configured to predict the target demand power of the vehicle in a target period according to the load demand power and a pre-trained long short-term memory network.

[0089] Optionally, the acquisition module 410 is configured to acquire a current working condition of the vehicle; and calculate the load demand power of the vehicle according to the current working condition and a pre-established vehicle dynamics model.

[0090] The multi-source composite power supply ground electric vehicle energy management device provided by the embodiment can be used to execute the method embodiment, and has similar implementation principles and technical effects, which will not be described here again.

[0091] Figure 5 is a structural schematic diagram of the controller provided by the embodiment of the application. Figure 5As shown, one embodiment of the controller 5 provided by the present application includes a processor 50, a memory 51, and a computer program 52 stored in the memory 51 and executable on the processor 50. The processor 50 implements the steps in each of the above-described embodiments of the LLC-based output voltage calibration method when executing the computer program 52, such as Figure 3 As shown. Alternatively, the processor 50 implements the functions of each module / unit in each of the above-described embodiments of the system when executing the computer program 52, such as Figure 4 As shown. Alternatively, the processor 50 implements the functions of each module / unit in each of the above-described embodiments of the system when executing the computer program 52, such as

[0092] For example, the computer program 52 can be divided into one or more modules / units, one or more of which are stored in the memory 51 and executed by the processor 50 to complete the present application. One or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program 52 in the controller 5.

[0093] The controller 5 can be a mobile phone, MCU, ECU, industrial computer, etc., which is not limited here. The controller 5 can include, but is not limited to, the processor 50 and the memory 51. Those skilled in the art can understand that Figure 5 The controller 5 shown is only an example and does not constitute a limitation on the controller 5, which can include more or fewer components than shown, or combine certain components, or different components, such as the controller can also include input / output devices, network access devices, buses, etc.

[0094] The processor 50 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0095] The memory 51 can be an internal storage unit of the controller 5, such as a hard disk or a memory of the controller 5. The memory 51 can also be an external storage device of the controller 5, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the controller 5. Further, the memory 51 can include both an internal storage unit and an external storage device of the controller 5. The memory 51 is used to store computer programs and other programs and data required by the controller. The memory 51 can also be used to temporarily store data that has been output or is to be output.

[0096] The computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps in the above-mentioned LLC-based output voltage calibration method embodiment.

[0097] The computer readable storage medium stores a computer program 52, and the computer program 52 includes program instructions, which are executed by the processor 50 to implement all or part of the processes in the above-mentioned embodiments. The computer program 52 can also instruct related hardware to complete the processes. The computer program 52 can be stored in a computer readable storage medium. When the computer program 52 is executed by the processor 50, the steps of the above-mentioned various method embodiments can be implemented. The computer program 52 includes computer program code, which can be in the form of source code, object code, an executable file, or some intermediate form. The computer readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0098] The computer readable storage medium can be an internal storage unit of the controller in any of the above-mentioned embodiments, such as a hard disk or a memory of the controller. The computer readable storage medium can also be an external storage device of the controller, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the controller. Further, the computer readable storage medium can include both an internal storage unit and an external storage device of the controller. The computer readable storage medium is used to store computer programs and other programs and data required by the controller. The computer readable storage medium can also be used to temporarily store data that has been output or is to be output.

[0099] It should be understood that the size of the serial number of each step in the above embodiments does not mean the order of execution, and the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the application.

[0100] It can be clearly understood by those skilled in the art that, for the convenience and brevity of description, only the above-mentioned division of each functional unit and module is exemplified, and in actual application, the above-mentioned functions can be completed by different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be realized in the form of hardware or software function unit. In addition, the specific name of each functional unit and module is only for the convenience of mutual distinction, and does not limit the protection scope of the application. The specific working process of the unit and module in the above system can be referred to the corresponding process in the foregoing method embodiments, which will not be described here.

[0101] In the above embodiments, the description of each embodiment has its own emphasis, and the parts not described or recorded in detail in a certain embodiment can be referred to the related description of other embodiments.

[0102] Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in the present text can be realized in electronic hardware or combination of computer software and electronic hardware. Whether the functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of the present application.

[0103] In the embodiments provided by the present application, it should be understood that the disclosed devices / controllers and methods can be implemented in other ways. For example, the above-described device / controller embodiments are only schematic, for example, the division of modules or units is only a logical function division, and there can be another division way in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed mutual ones can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0104] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, i.e. may be located in one place, or may be distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0105] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0106] If the integrated module / unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium. When the processor executes the computer program, the steps of each method embodiment can be realized. The computer program includes computer program code, which can be in the form of source code, object code, executable file or some intermediate form, etc. The computer readable medium can include any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0107] The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A method for energy management of multi-source composite power supply ground electric vehicles, characterized in that, The power source system of the multi-source composite power supply ground electric vehicle includes a fuel cell, a lithium battery, and a supercapacitor; the method includes: Obtain the vehicle's load power requirement, and at the same time obtain the state of charge of each power source in the power source system; Predict the target power demand of vehicles within the target time period based on the aforementioned load power demand. Calculate the first output power of the fuel cell based on the target power requirement; Based on the state of charge of each power source, the first output power, and the current load demand power, determine the second output power of the fuel cell, the third output power of the lithium battery, and the fourth output power of the supercapacitor. The power source system is controlled based on the second output power, the third output power, and the fourth output power. Based on the target power requirement, the first output power of the fuel cell is calculated, including: Wavelet decomposition is performed on the target required power to obtain the first high-frequency power and the first low-frequency power; The first output power is determined based on the first low-frequency power; Based on the state of charge of each power source, the first output power, and the current load demand power, the second output power of the fuel cell, the third output power of the lithium battery, and the fourth output power of the supercapacitor are determined, including: Wavelet decomposition is performed on the current load demand power to obtain the second high-frequency power and the second low-frequency power. The second output power is determined based on the state of charge of each power source, the first output power, and the second low-frequency power. Calculate the difference between the second low-frequency power and the second output power; The difference is superimposed on the second high-frequency power, and the superimposed second high-frequency power is decoupled based on a preset logic threshold to obtain the third high-frequency power and the third high-frequency power. The third high-frequency power is used as the third output power, and the third high-frequency power is used as the fourth output power.

2. The energy management method for multi-source composite power supply ground electric vehicles according to claim 1, characterized in that, The second output power is determined based on the state of charge of each power source, the first output power, and the second low-frequency power, including: When the state of charge of the fuel cell is greater than a first preset threshold, the state of charge of the lithium battery is greater than a second preset threshold, and the state of charge of the supercapacitor is greater than a third preset threshold, the first output power and the second low-frequency power are weighted and summed to obtain the second output power.

3. The energy management method for multi-source composite power supply ground electric vehicles according to claim 1, characterized in that, The second output power is determined based on the state of charge of each power source, the first output power, and the second low-frequency power, including: When the state of charge of the lithium battery is not greater than a second preset threshold or the state of charge of the supercapacitor is not greater than a third preset threshold, the maximum output power of the fuel cell is used as the second output power.

4. The energy management method for multi-source composite power supply ground electric vehicles according to claim 1, characterized in that, Predicting the target power demand of vehicles within a target time period based on the aforementioned load power demand includes: Based on the load demand power and the pre-trained long short-term memory network, predict the target power demand of the vehicle within the target time period.

5. The energy management method for multi-source composite power supply ground electric vehicles according to claim 1, characterized in that, Obtain the vehicle's load power requirement, including: Obtain the current operating status of the vehicle; Based on the current operating conditions and the pre-established vehicle dynamics model, calculate the vehicle's load power requirement.

6. A controller comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the multi-source composite power supply ground electric vehicle energy management method as described in any one of claims 1 to 5.

7. A multi-source composite power supply ground electric vehicle, characterized in that, It includes a power source system and a controller as described in claim 6 above; the power source system includes a fuel cell, a lithium battery and a supercapacitor; the controller is connected to the power source system.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the energy management method for multi-source composite power supply ground electric vehicles as described in any one of claims 1 to 5.

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