Energy management method, device and equipment of hybrid system and storage medium

Abstract

The application provides an energy management method, device and equipment of a hybrid power system and a storage medium, the energy management method is used for controlling the output power of a fuel cell in the hybrid power system, the hybrid power system is used for providing output power to a load, and the energy management method comprises the following steps: acquiring a current target load power and a current target load power fluctuation degree of the load; if the current target load power fluctuation degree is less than a first fluctuation degree, controlling the current output power of the fuel cell to be the current target load power; and if the current target load power fluctuation degree is greater than a second fluctuation degree, controlling the current output power of the fuel cell to be the current target load power. The current target load power fluctuation degree being less than the first fluctuation degree indicates that the load power is relatively stable, so that the output power of the fuel cell is followed at this time, and the output power of the fuel cell is not caused to fluctuate greatly, thereby prolonging the service life of the fuel cell.

Description

Technical Field

[0001] This invention relates to the field of hybrid power technology, and more specifically to an energy management method, apparatus, device, and storage medium for a hybrid power system. Background Technology

[0002] Connecting fuel cells and lithium batteries in parallel to form a fuel cell-lithium battery hybrid power system reduces the impact of frequent start-stop operations and large fluctuations in load power on the fuel cells. This not only improves the dynamic response speed of the entire power system but also ensures the stability and lifespan of the fuel cells. The coexistence of fuel cells and lithium batteries necessitates energy management strategies to improve the electrical integration of the entire system. Designing a reasonable and effective energy management strategy that considers the different output characteristics of fuel cells and lithium batteries is crucial for the entire fuel cell hybrid power system. This strategy allows for the efficient allocation of output power between the fuel cells and lithium batteries. When the fuel cells cannot respond quickly to transient load changes, the lithium batteries can rapidly provide energy output; conversely, when the fuel cells generate excessive energy, the lithium batteries can store the excess energy.

[0003] Current energy management strategies are mainly divided into two categories: rule-based EMS and optimization-based EMS. However, current energy management strategies primarily use economic efficiency as a performance evaluation indicator, failing to consider the impact of frequent and significant fluctuations in actual fuel cell power on its lifespan, thereby reducing the lifespan of the fuel cell. Summary of the Invention

[0004] In view of the shortcomings of the prior art, the present invention provides an energy management method, device, equipment and storage medium for a hybrid power system.

[0005] In one embodiment, the present invention provides an energy management method for a hybrid power system, the energy management method for controlling the output power of a fuel cell in the hybrid power system, the hybrid power system being used to provide output power to a load; the energy management method for the hybrid power system includes:

[0006] Obtain the current target load power and the current target load power fluctuation of the load;

[0007] If the current target load power fluctuation is less than the first fluctuation, then control the current output power of the fuel cell to be the current target load power;

[0008] If the current target load power fluctuation is greater than the second fluctuation, then the current output power of the fuel cell is controlled to be the current target load power; the first fluctuation is less than the second fluctuation.

[0009] In one embodiment, if the current target load power fluctuation is less than a first fluctuation, then controlling the current output power of the fuel cell to be the current target load power includes:

[0010] If the current target load power fluctuation is less than the first fluctuation, and the first number of consecutive historical target load power fluctuations are all less than the first fluctuation, then the current output power of the fuel cell is controlled to be the current target load power.

[0011] If the current target load power fluctuation is greater than the second fluctuation, then the current output power of the fuel cell is controlled to be the current target load power, including:

[0012] If the current target load power fluctuation is greater than the second fluctuation, and the second number of consecutive historical target load power fluctuations are all greater than the second fluctuation, then the current output power of the fuel cell is controlled to be the current target load power.

[0013] In one embodiment, after the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is less than a first fluctuation, and a first number of consecutive historical target load power fluctuations are all less than the first fluctuation, the energy management method for the hybrid power system further includes:

[0014] The output power of the fuel cell is kept constant. After the next target load power fluctuation is greater than the first fluctuation, the process re-enters the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is less than the first fluctuation and the first number of consecutive historical target load power fluctuations are all less than the first fluctuation.

[0015] After the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is greater than the second fluctuation, and the second number of consecutive historical target load power fluctuations are all greater than the second fluctuation, the energy management method for the hybrid power system further includes:

[0016] The output power of the fuel cell is kept constant. After the next target load power fluctuation is less than the second fluctuation, the process re-enters the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is greater than the second fluctuation and the second number of consecutive historical target load power fluctuations are all greater than the second fluctuation.

[0017] In one embodiment, obtaining the current target load power fluctuation of the load includes:

[0018] Obtain the current initial load power of the load and the third number of historical initial load powers that are consecutive to the current time in time;

[0019] Determine the current initial load power and the absolute value of the difference between any two adjacent initial load powers in the third number of historical initial load powers;

[0020] Based on the current initial load power and the absolute value of the difference between each two adjacent initial load powers in the third number of historical initial load powers, as well as the rated maximum load power, the fluctuation of the current initial load power is obtained, corresponding to the absolute value of the difference between each two adjacent initial load powers in the third number of historical initial load powers.

[0021] The current initial load power fluctuation is obtained by summing the current initial load power and the absolute value of the difference between each two adjacent initial load powers in the third number of historical initial load powers.

[0022] The current target load power fluctuation is obtained based on the current intermediate load power fluctuation.

[0023] In one embodiment, obtaining the current target load power fluctuation based on the current intermediate load power fluctuation includes:

[0024] Obtain the fourth consecutive historical intermediate load power fluctuation in time from the current moment;

[0025] The current target load power fluctuation is obtained by averaging the current intermediate load power fluctuation and the fourth number of historical intermediate load power fluctuations.

[0026] In one embodiment, obtaining the current target load power of the load includes:

[0027] Obtain the current initial load power of the load and the fifth consecutive historical initial load power in time from the current moment;

[0028] The current intermediate load power is obtained by averaging the current initial load power and the fifth number of historical initial load powers.

[0029] Obtain the sixth consecutive historical intermediate load power in time from the current moment;

[0030] The current target load power is obtained by averaging the current intermediate load power and the sixth number of historical intermediate load powers.

[0031] In one embodiment, prior to the steps of obtaining the current target load power and the fluctuation of the current target load power, the energy management method for the hybrid power system further includes:

[0032] Obtain the current state of charge of the lithium battery in the hybrid power system;

[0033] If the current state of charge is greater than the first state of charge and less than the second state of charge, then proceed to the step of obtaining the current target load power and the fluctuation of the current target load power.

[0034] In a second aspect, in one embodiment, the present invention provides an energy management device for a hybrid power system, the energy management device for controlling the output power of a fuel cell in the hybrid power system, the hybrid power system for providing output power to a load; the energy management device for the hybrid power system includes:

[0035] The parameter acquisition module is used to obtain the current target load power and the current target load power fluctuation of the load.

[0036] The first control module is used to control the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is less than the first fluctuation.

[0037] The second control module is used to control the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is greater than the second fluctuation; the first fluctuation is less than the second fluctuation.

[0038] Thirdly, in one embodiment, the present invention provides a computer device including a memory and a processor; the memory stores a computer program, and the processor is configured to run the computer program in the memory to perform the steps in the energy management method of the hybrid power system in any of the above embodiments.

[0039] Fourthly, in one embodiment, the present invention provides a storage medium storing a computer program that is loaded by a processor to perform the steps in the energy management method of the hybrid power system in any of the above embodiments.

[0040] The energy management method, device, equipment, and storage medium of the aforementioned hybrid power system acquire the current target load power and its fluctuation. When the fluctuation of the current target load power is less than a first fluctuation or greater than a second fluctuation, the current output power of the fuel cell is controlled to be the current target load power. If the fluctuation of the current target load power is less than the first fluctuation, it indicates that the load power is relatively stable. In this case, the output power of the fuel cell follows the fluctuation, which will not cause large fluctuations in the output power of the fuel cell, thereby extending the service life of the fuel cell. If the fluctuation of the current target load power is greater than the second fluctuation, it indicates that the load may experience changes in operating conditions, resulting in a rapid decrease or increase in load power. In this case, the output power of the fuel cell follows the fluctuation, which can ensure the power demand of the load. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a schematic diagram illustrating an application scenario of the energy management method for a hybrid power system in one embodiment of the present invention;

[0043] Figure 2 This is a flowchart illustrating an energy management method for a hybrid power system according to one embodiment of the present invention;

[0044] Figure 3 This is a schematic diagram of a sliding window filtering algorithm in one embodiment of the present invention;

[0045] Figure 4 This is a schematic diagram of the volatility obtained by the sliding window filtering algorithm in one embodiment of the present invention;

[0046] Figure 5 This is a schematic diagram of the load power obtained by the sliding window filtering algorithm in one embodiment of the present invention;

[0047] Figure 6 This is a schematic diagram of the energy management device of a hybrid power system in one embodiment of the present invention;

[0048] Figure 7 This is a schematic diagram of the structure of a computer device in one embodiment of the present invention. Detailed Implementation

[0049] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] In the description of this invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this application, "a plurality of" means two or more, unless otherwise explicitly specified. In this application, the term "exemplary" is used to mean "used as an example, illustration, or description." Any embodiment described as "exemplary" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. In the following description, details are set forth for illustrative purposes. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid unnecessarily obscuring the description of the invention. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0051] The energy management method for a hybrid power system in this embodiment of the invention is applied to an energy management device for a hybrid power system, which is located on a computer device. The computer device can be a terminal, such as a mobile phone or a tablet computer, or it can be a server or a service cluster composed of multiple servers.

[0052] like Figure 1 As shown, Figure 1 This is a schematic diagram of an application scenario of the energy management method for a hybrid power system in an embodiment of the present invention. The application scenario of the energy management method for a hybrid power system in an embodiment of the present invention includes a computer device 100 (the computer device 100 integrates an energy management device for a hybrid power system), and a computer-readable storage medium running the energy management method for a hybrid power system in the computer device 100 to execute the steps of the energy management method for a hybrid power system.

[0053] Understandable Figure 1The computer equipment in the application scenario of the energy management method of the hybrid power system, or the devices contained in the computer equipment, do not constitute a limitation on the embodiments of the present invention. That is, the number or type of equipment in the application scenario of the energy management method of the hybrid power system, or the number or type of devices contained in each equipment, do not affect the overall implementation of the technical solution in the embodiments of the present invention, and can all be considered as equivalent substitutions or derivatives of the technical solutions claimed in the embodiments of the present invention.

[0054] In this embodiment of the invention, the computer device 100 can be an independent device, or a network of devices or a cluster of devices. For example, the computer device 100 described in this embodiment of the invention includes, but is not limited to, a computer, a network host, a single network device, a set of multiple network devices, or a cloud device composed of multiple devices. The cloud device consists of a large number of computers or network devices based on cloud computing.

[0055] Those skilled in the art will understand that Figure 1 The application scenarios shown are merely one example corresponding to the technical solution of this invention and do not constitute a limitation on the application scenarios of the technical solution of this invention. Other application scenarios may include more than one example. Figure 1 The more or fewer computer devices shown, or the network connections of the computer devices, for example Figure 1 Only one computer device is shown in the diagram. It is understood that the scenario of the energy management method of the hybrid power system may also include one or more other computer devices, which are not specifically limited here. The computer device 100 may also include a memory for storing information related to the energy management method of the hybrid power system.

[0056] Furthermore, in the application scenario of the energy management method for the hybrid power system in this embodiment of the invention, the computer device 100 may be equipped with a display device, or the computer device 100 may not have a display device but may be communicatively connected to an external display device 200. The display device 200 is used to output the results of the execution of the energy management method for the hybrid power system in the computer device. The computer device 100 can access a background database 300 (the background database 300 may be the local storage of the computer device 100, or it may be located in the cloud), which stores information related to the energy management method for the hybrid power system.

[0057] It should be noted that, Figure 1 The application scenario of the energy management method for the hybrid power system shown is merely an example. The application scenario of the energy management method for the hybrid power system described in this embodiment is for the purpose of more clearly illustrating the technical solution of this embodiment and does not constitute a limitation on the technical solution provided by this embodiment.

[0058] Based on the application scenarios of the energy management method for hybrid power systems described above, an embodiment of the energy management method for hybrid power systems is proposed.

[0059] Firstly, such as Figure 2 As shown, in one embodiment, the present invention provides an energy management method for a hybrid power system, which is used to control the output power of a fuel cell in the hybrid power system, and the hybrid power system is used to provide output power to a load;

[0060] Among them, the fuel cell can be an SOFC fuel cell. A solid oxide fuel cell (SOFC) is a highly efficient and environmentally friendly energy conversion device that can directly convert chemical energy into electrical energy. It uses solid oxide as an electrolyte to react hydrogen (or other combustible gas) and oxygen at high temperatures to generate electrical energy. In other embodiments, the fuel cell can also be a proton exchange membrane fuel cell (PEMFC), an alkaline fuel cell (AFC), a phosphoric acid fuel cell (PAFC), a direct methanol fuel cell (DMFC), a high-temperature fuel cell (MCFC), etc.

[0061] Energy management methods for hybrid power systems include:

[0062] Step 201: Obtain the current target load power and the current target load power fluctuation of the load;

[0063] Among them, the current target load power and the current target load power fluctuation are instantaneous parameters corresponding to the current moment, used to characterize the power state of the load at the current moment; the smaller the current target load power fluctuation, the more stable the load power changes at the current moment and the stable output; conversely, the larger the current target load power fluctuation, the more drastic the load power changes at the current moment and the unstable output.

[0064] Step 202: If the current target load power fluctuation is less than the first fluctuation, then control the current output power of the fuel cell to be the current target load power;

[0065] The first fluctuation can be set based on empirical values ​​obtained from big data. It is used to characterize whether the load power change trend is stable. If the current target load power fluctuation is less than the first fluctuation, it means that the load power change trend at the current moment is relatively stable. At this time, the output power of the fuel cell will follow the first fluctuation without causing large fluctuations in the output power of the fuel cell. Therefore, after obtaining the above results, the current output power of the fuel cell is controlled to be the current target load power.

[0066] Step 203: If the current target load power fluctuation is greater than the second fluctuation, then control the current output power of the fuel cell to be the current target load power;

[0067] The first volatility is smaller than the second volatility.

[0068] Similar to the first volatility, the second volatility can also be set based on empirical values ​​obtained from big data. Unlike the first volatility, the second volatility is used to characterize whether the load power change trend is drastic. That is, through the first and second volatility, the load power change trend can be divided into three intervals: stable, moderate, and drastic. If the current target load power volatility is greater than the second volatility, it indicates that the load power change trend at the current moment is relatively drastic, and the load's operating conditions may change. Taking a ship as an example, for instance, when switching from high-speed navigation to low-speed navigation, the load power decreases rapidly, and conversely, when switching from low-speed navigation to high-speed navigation, the load power increases rapidly. Similarly, when switching from leaving port to steady navigation, the load power decreases rapidly, and conversely, when switching from steady navigation to entering port, the load power increases rapidly. If only the load power fluctuation is considered at this time, the output power of the fuel cell will not be able to meet the load's power demand. Therefore, in this case, the output power of the fuel cell also needs to follow the load's power demand.

[0069] It should be noted that situations where load power changes drastically due to changes in operating conditions are rare; most changes are moderate. Even when moderate changes occur, the output power of the fuel cell is not adjusted accordingly, and there is no problem of failing to meet the power requirements of the load. Therefore, by combining the two control methods mentioned above, the service life of the fuel cell can be extended to the maximum extent while ensuring the power requirements of the load.

[0070] The energy management method of the hybrid power system described above obtains the current target load power and its fluctuation. When the fluctuation of the current target load power is less than the first fluctuation or greater than the second fluctuation, the current output power of the fuel cell is controlled to be the current target load power. If the fluctuation of the current target load power is less than the first fluctuation, it indicates that the load power is relatively stable. In this case, the output power of the fuel cell follows the fluctuation, which will not cause large fluctuations in the output power of the fuel cell, thereby extending the service life of the fuel cell. If the fluctuation of the current target load power is greater than the second fluctuation, it indicates that the load may experience changes in operating conditions, which may cause the load power to drop or rise rapidly. In this case, the output power of the fuel cell follows the fluctuation, which can ensure the power demand of the load.

[0071] In one embodiment, if the current target load power fluctuation is less than a first fluctuation, then controlling the current output power of the fuel cell to be the current target load power includes:

[0072] If the current target load power fluctuation is less than the first fluctuation, and the first number of consecutive historical target load power fluctuations are all less than the first fluctuation, then the current output power of the fuel cell is controlled to be the current target load power.

[0073] As mentioned in the above embodiments, the current target load power fluctuation is a state of an instantaneous or short period of time, and its ability to characterize the future trend of load power changes is limited. It is easy for the target load power fluctuation to suddenly increase in the next moment. Therefore, in this embodiment, in view of this situation, the output power of the fuel cell is only controlled by following the fluctuation when the target load power fluctuation is continuously detected to be less than the first fluctuation. Specifically, if the sampling frequency of the target load power fluctuation is 1 time / second, the first number can be 29. Adding the current target load power fluctuation, there are a total of 30 target load power fluctuations. That is, when the target load power fluctuation is detected to be less than the first fluctuation for 30 consecutive seconds, the output power of the fuel cell is controlled by following the fluctuation.

[0074] If the current target load power fluctuation is greater than the second fluctuation, then the current output power of the fuel cell is controlled to be the current target load power, including:

[0075] If the current target load power fluctuation is greater than the second fluctuation, and the second number of consecutive historical target load power fluctuations are all greater than the second fluctuation, then the current output power of the fuel cell is controlled to be the current target load power.

[0076] Specifically, if the current target load power fluctuation is less than the first fluctuation, or greater than the second fluctuation, the decision to control the output power of the fuel cell can be made by detecting multiple consecutive target load power fluctuations. For instance, if the sampling frequency of the target load power fluctuation is 1 time / second, the second number can be 14. Adding the current target load power fluctuation, there are a total of 15 target load power fluctuations. That is, when the target load power fluctuation is detected to be greater than the second fluctuation for 15 consecutive seconds, the output power of the fuel cell is controlled accordingly.

[0077] In one embodiment, after the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is less than a first fluctuation, and a first number of consecutive historical target load power fluctuations are all less than the first fluctuation, the energy management method for the hybrid power system further includes:

[0078] The output power of the fuel cell is kept constant. After the next target load power fluctuation is greater than the first fluctuation, the process re-enters the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is less than the first fluctuation and the first number of consecutive historical target load power fluctuations are all less than the first fluctuation.

[0079] If we only consider whether the current target load power fluctuation and the fluctuation of the first number of consecutive historical target load power are all less than the first fluctuation to determine whether to control the current output power of the fuel cell to be the current target load power, it is easy to cause frequent adjustments to the output power of the fuel cell. Although the adjustment range is small, for example, if the current output power of the fuel cell is controlled to be the current target load power, and the target load power fluctuation at the next moment is still less than the first fluctuation, the above judgment logic will continue to be triggered, and the output power of the fuel cell will be adjusted. This method will consume computing resources. However, the target load power fluctuation at the next moment is still less than the first fluctuation. Although there may be a difference from the target load power determined at the previous moment, it is very small. For the power demand of the load, it is not necessary to adjust the output power of the fuel cell.

[0080] Therefore, in response to this situation, after controlling the current output power of the fuel cell to be the current target load power, this embodiment controls the output power of the fuel cell to remain unchanged. When the target load power fluctuation exceeds the first fluctuation, the above judgment logic step is re-entered, so that the entire judgment logic will only be executed once after the target load power fluctuation exceeds the first fluctuation. This not only avoids frequent adjustments to the output power of the fuel cell, but also does not affect the power demand of the load; that is, it saves computing resources while ensuring performance.

[0081] Specifically, the above solution can be implemented by adding a marker. For example, after detecting that the target load power fluctuation is greater than the first fluctuation, a marker X is added. Under the premise that marker X exists, a logical judgment is performed. If the target load power fluctuations are subsequently detected to be less than the first fluctuation for a corresponding number (i.e., the first number plus 1) consecutive times, the output power of the fuel cell is controlled to be the target load power, and marker X is cleared. That is, the judgment logic is only executed when marker X exists.

[0082] After the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is greater than the second fluctuation, and the second number of consecutive historical target load power fluctuations are all greater than the second fluctuation, the energy management method for the hybrid power system further includes:

[0083] The output power of the fuel cell is kept constant. After the next target load power fluctuation is less than the second fluctuation, the process re-enters the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is greater than the second fluctuation and the second number of consecutive historical target load power fluctuations are all greater than the second fluctuation.

[0084] In this case, if the target load power fluctuation is less than the first fluctuation, it can also be achieved by adding a marker. For example, after detecting that the target load power fluctuation is less than the second fluctuation, a marker Y is added. Under the premise that marker Y exists, a logical judgment is performed. If the corresponding number (i.e., the second number plus 1) of target load power fluctuations are subsequently detected to be greater than the second fluctuation, the output power of the fuel cell is controlled to be the target load power, and marker Y is cleared. That is, the judgment logic is only executed when marker Y exists.

[0085] In one embodiment, obtaining the current target load power fluctuation of the load includes:

[0086] Obtain the current initial load power of the load and the third number of historical initial load powers that are consecutive to the current time in time;

[0087] Determine the current initial load power and the absolute value of the difference between any two adjacent initial load powers in the third number of historical initial load powers;

[0088] Based on the current initial load power and the absolute value of the difference between each two adjacent initial load powers in the third number of historical initial load powers, as well as the rated maximum load power, the fluctuation of the current initial load power is obtained, corresponding to the absolute value of the difference between each two adjacent initial load powers in the third number of historical initial load powers.

[0089] The load power fluctuation F is defined as follows:

[0090]

[0091] In the formula: t is the sampling window time length, ABS(ΔP) is the absolute value of the power difference between a certain moment and the previous moment within the sampling window t, P0 is the rated maximum power of the load; calculate the fluctuation F0 (i.e., the current initial load power fluctuation) of each standard 1s time within the sampling time t = 10s in the standard ship operating condition; t represents a total of 10 initial load powers acquired, that is, the third quantity mentioned above is 9 in this case;

[0092] The current initial load power fluctuation is obtained by summing the current initial load power and the absolute value of the difference between each two adjacent initial load powers in the third number of historical initial load powers.

[0093] Among them, a sliding window summation is performed to calculate the sum of the fluctuations F0 of 9 consecutive standard 1s time intervals, and the fluctuations F1 of the sampling time t=10s (i.e. the current intermediate load power fluctuations) are obtained.

[0094] Based on the current intermediate load power fluctuation, the current target load power fluctuation is obtained;

[0095] If high accuracy is not required, the current intermediate load power fluctuation can be directly used as the current target load power fluctuation.

[0096] In one embodiment, obtaining the current target load power fluctuation based on the current intermediate load power fluctuation includes:

[0097] Obtain the fourth consecutive historical intermediate load power fluctuation in time from the current moment;

[0098] The current target load power fluctuation is obtained by averaging the current intermediate load power fluctuation and the fourth number of historical intermediate load power fluctuations.

[0099] One approach to averaging multiple consecutive values ​​is the sliding window filtering algorithm. This algorithm smooths noise by applying a sliding window to time series data. At each time step, a fixed-size window is used to calculate the average, which is then used to smooth the original data. The sliding window filtering algorithm can remove noise or outliers from time series data, making the data smoother and helping to extract trend information. The basic idea is to average the data within the window at each time step and use the result as the output value for that time step. Then, the window slides forward one time step, continuing the averaging calculation and obtaining the next output value. This process is repeated until the sliding window reaches the end of the data. The sliding window filtering algorithm requires setting the window size, which determines the smoothing degree and sensitivity. Smaller window sizes can respond to data changes faster but may be affected by noise; larger window sizes can smooth noise but may lose some details or ignore rapid data changes. In summary, the sliding window filtering algorithm smooths noise by applying a fixed-size sliding window to time series data. It can be used to remove noise or outliers, extract trend information, and the window size determines the smoothing degree and sensitivity. Figure 3 As shown, the sliding window filtering algorithm is equivalent to having a sliding window of fixed length N that slides along the discrete time sequence. Each time it slides for a sampling interval, a new data enters before the window and an old data is removed after the window. There are always N data in the window, and they are averaged to form a new average value sequence.

[0100] Specific formula:

[0101] y(t)=(1 / N)*Σ[x(ti)]

[0102] Where y(t) is the output value of the sliding window filtering algorithm, x(ti) is the data in the window, N is the window size, and Σ represents the summation of the data in the window;

[0103] At each time step t, the sliding window algorithm calculates the average value of the data within the window and uses this average value as the output value y(t) for the current time step. Each time the sliding window moves forward one time step, the oldest data x(tN) in the window is removed and the latest data x(t) is added. Then, the average value of the data within the window is calculated again to obtain the next output value y(t+1). This process is repeated until the sliding window reaches the end of the data, resulting in the filtered time series data.

[0104] In this embodiment, the sliding window filtering algorithm is applied to obtain the fluctuation F1 at a sampling time of t = 10s. The fluctuation F1 is then filtered using the sliding window filtering algorithm. The number of sliding windows is N = 10, meaning 10 fluctuation F1 values ​​are obtained, which represent the current intermediate load power fluctuation and the fourth number of historical intermediate load power fluctuations. In this case, the fourth number is 9. Figure 4 As shown, a filtered fluctuation F2 (i.e., F in the figure) can be obtained, which is the current target load power fluctuation.

[0105] In one embodiment, obtaining the current target load power of the load includes:

[0106] Obtain the current initial load power of the load and the fifth consecutive historical initial load power in time from the current moment;

[0107] The current intermediate load power is obtained by averaging the current initial load power and the fifth number of historical initial load powers.

[0108] Obtain the sixth consecutive historical intermediate load power in time from the current moment;

[0109] The current target load power is obtained by averaging the current intermediate load power and the sixth number of historical intermediate load powers.

[0110] In the above embodiment, the current initial load power obtained by directly obtaining the current intermediate load power fluctuation through sliding window filtering also contains a lot of high-frequency noise. This filtering algorithm can be used to filter the load power to improve the accuracy of the load power and avoid large deviations when controlling the output power of the fuel cell.

[0111] Specifically, the initial load power obtained directly can be filtered to obtain the intermediate load power after one filtering step. Then, the intermediate load power can be filtered again to obtain the target load power after a second filtering step. The fifth and sixth quantities can both be 9, meaning that the window in each of the two filtering processes contains 10 load powers. More specifically, first read the load power P0 for 10 consecutive seconds. t1 P0 t2 ----P0 t10 Then, a sliding window average is performed on the 10 load powers P0 to obtain the load power P1. Next, the 10 load powers P1(P1) are averaged. t1 P1 t2 ----P1t 10 Perform a sliding window averaging to obtain the load power P2; Figure 5As shown, the load power processed by sliding window filtering will greatly reduce the high-frequency output signal and make the load power curve smoother.

[0112] In one embodiment, prior to the steps of obtaining the current target load power and the fluctuation of the current target load power, the energy management method for the hybrid power system further includes:

[0113] Obtain the current state of charge of the lithium battery in the hybrid power system;

[0114] If the current state of charge is greater than the first state of charge and less than the second state of charge, then proceed to the step of obtaining the current target load power and the fluctuation of the current target load power.

[0115] The first and second states of charge (SOCs) can both be set based on empirical values ​​obtained from big data. For example, the first SOC can be 40%, and the second SOC can be 70%. The first SOC characterizes whether the lithium battery's SOC is too low, and the second SOC characterizes whether the lithium battery's SOC is too high. When the lithium battery's SOC is too low, it indicates that it needs to be charged; when the lithium battery's SOC is too high, it indicates that it needs to be discharged, thus maintaining the lithium battery's charging and discharging efficiency at a good level. Based on this, when the current SOC of the lithium battery is detected to be lower than the first SOC or higher than the second SOC, the output power of the fuel cell cannot only consider the power demand of the load. For example, when the lithium battery's SOC is < 40%, the constant output power of the fuel cell is the fuel cell's rated power, thus using the excess output power to charge the lithium battery. When the lithium battery's SOC is > 70%, the constant output power of the fuel cell is the point where the fuel cell operates at its highest efficiency, thus discharging the lithium battery to supplement the portion of the fuel cell's output power that is insufficient relative to the load's power demand.

[0116] In one embodiment, the load power and lithium battery SOC are first read in real time as input values ​​for the EMS program, and the output power of the fuel cell is output after the program calculates and determines the output power.

[0117] Secondly, when the lithium battery SOC is < 40%, the constant output power of the fuel cell is the rated power of the fuel cell; when the lithium battery SOC is > 70%, the constant output power of the fuel cell is the point where the fuel cell operates at its highest efficiency; when the lithium battery SOC is in the range of [40%, 70%], the first step is to read the load power P0 for 10 consecutive seconds. t1 P0 t2 ----P0 t10 Ten power P0 values ​​are averaged using a sliding window to obtain the P1 sequence. Then, ten consecutive power P1 values ​​(P1) are averaged. t1 P1 t2 ----P1 t10Perform sliding window filtering again to obtain the real-time filtered power P2 sequence of the double filtering;

[0118] Next, the second step calculates the ratio between the power difference of nine consecutive standard 1-second intervals between the 10-second P0 power intervals and the rated maximum power of the load, obtaining the volatility F0. Then, it is summed by a sliding window to calculate the sum of the volatility F0 over nine consecutive standard 1-second intervals, resulting in the volatility F1 sequence. Finally, the 10 volatility F1 intervals are averaged by a sliding window to obtain the filtered volatility F2 with a window length of N = 10 seconds.

[0119] Finally, when any F2 > 0.1 exists, it is marked as X. Subsequently, when there are 30 consecutive F2 < 0.1 within the sliding window N = 30, the current P_FC = P2 is output, and the mark X is cleared. When any F2 > 0.1 reappears, it is remarked as X. When any F2 < 0.4 exists, it is marked as Y. Subsequently, when there are 15 consecutive F2 > 0.4 within the sliding window N = 15, the current P_FC = P2 is output, and the mark Y is cleared. When any F2 < 0.4 reappears, it is remarked as Y. Marking X and Y can be done simultaneously, and the two strategies do not conflict. If neither mark X nor Y is satisfied, and only one or more F2 < 0.1 or F2 > 0.4, even if the judgment conditions of sliding window N = 30 or N = 15 are met, the program will not execute, and P_FC will remain unchanged.

[0120] Secondly, such as Figure 6 As shown, in one embodiment, the present invention provides an energy management device for a hybrid power system. The energy management device controls the output power of the fuel cell in the hybrid power system, which provides output power to a load. The energy management device for the hybrid power system includes:

[0121] The parameter acquisition module 301 is used to acquire the current target load power and the current target load power fluctuation of the load.

[0122] The first control module 302 is used to control the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is less than the first fluctuation.

[0123] The second control module 303 is used to control the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is greater than the second fluctuation; the first fluctuation is less than the second fluctuation.

[0124] The energy management device of the aforementioned hybrid power system acquires the current target load power and its fluctuation. When the fluctuation is less than a first fluctuation or greater than a second fluctuation, the current output power of the fuel cell is controlled to match the current target load power. If the fluctuation is less than the first fluctuation, it indicates that the load power is relatively stable. In this case, the fuel cell output power follows the fluctuation, preventing significant fluctuations and extending the fuel cell's lifespan. If the fluctuation is greater than the second fluctuation, it indicates that the load may experience changes in operating conditions, leading to a rapid decrease or increase in load power. In this case, the fuel cell output power follows the fluctuation, ensuring the load's power requirements are met.

[0125] In one embodiment, the first control module is specifically used to control the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is less than the first fluctuation, and the first number of consecutive historical target load power fluctuations are all less than the first fluctuation.

[0126] The second control module is specifically used to control the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is greater than the second fluctuation, and the second number of consecutive historical target load power fluctuations are all greater than the second fluctuation.

[0127] In one embodiment, the energy management device for the hybrid power system further includes:

[0128] The first holding module is used to control the current output power of the fuel cell to remain unchanged after the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is less than the first fluctuation and a first number of consecutive historical target load power fluctuations are all less than the first fluctuation. After the next target load power fluctuation is greater than the first fluctuation, the module re-enters the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is less than the first fluctuation and a first number of consecutive historical target load power fluctuations are all less than the first fluctuation, so as to readjust the output power of the fuel cell.

[0129] The second holding module is used to maintain the output power of the fuel cell unchanged after the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is greater than the second fluctuation and a second number of consecutive historical target load power fluctuations are all greater than the second fluctuation. After the next target load power fluctuation is less than the second fluctuation, the module re-enters the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is greater than the second fluctuation and a second number of consecutive historical target load power fluctuations are all greater than the second fluctuation, so as to readjust the output power of the fuel cell.

[0130] In one embodiment, the parameter acquisition module is specifically used to acquire the current initial load power of the load and a third number of historical initial load powers that are continuous with the current time; determine the absolute value of the difference between each two adjacent initial load powers in the current initial load power and the third number of historical initial load powers; obtain the current initial load power fluctuation corresponding to the absolute value of the difference between each two adjacent initial load powers in the current initial load power and the third number of historical initial load powers, based on the absolute value of the difference between each two adjacent initial load powers in the current initial load power and the third number of historical initial load powers and the rated maximum power of the load; sum the current initial load power fluctuation corresponding to the absolute value of the difference between each two adjacent initial load powers in the current initial load power and the third number of historical initial load powers to obtain the current intermediate load power fluctuation corresponding to the current time; and obtain the current target load power fluctuation based on the current intermediate load power fluctuation.

[0131] In one embodiment, the parameter acquisition module is specifically used to acquire the fourth number of historical intermediate load power fluctuations that are continuous with the current time in terms of time; and to average the current intermediate load power fluctuation and the fourth number of historical intermediate load power fluctuations to obtain the current target load power fluctuation.

[0132] In one embodiment, the parameter acquisition module is specifically used to acquire the current initial load power of the load and the fifth number of historical initial load powers that are continuous with the current time in terms of time; to average the current initial load power and the fifth number of historical initial load powers to obtain the current intermediate load power; to acquire the sixth number of historical intermediate load powers that are continuous with the current time in terms of time; and to average the current intermediate load power and the sixth number of historical intermediate load powers to obtain the current target load power.

[0133] In one embodiment, the energy management device for the hybrid power system further includes:

[0134] The state determination module is used to obtain the current state of charge of the lithium battery in the hybrid power system before obtaining the current target load power and the fluctuation of the current target load power of the load; if the current state of charge is greater than the first state of charge and less than the second state of charge, then proceed to the step of obtaining the current target load power and the fluctuation of the current target load power of the load.

[0135] Thirdly, in one embodiment, the present invention provides a computer device, such as... Figure 7 As shown, it illustrates the structure of the computer device involved in this invention, specifically:

[0136] The computer device may include components such as a processor 401 with one or more processing cores, a memory 402 with one or more computer-readable storage media, a power supply 403, and an input unit 404. Those skilled in the art will understand that... Figure 7 The structure of the computer device shown does not constitute a limitation on the computer device and may include more or fewer components than shown, or combine certain components, or have different component arrangements. Wherein:

[0137] The processor 401 is the control center of the computer device. It connects various parts of the computer device via various interfaces and lines, and performs various functions and processes data by running or executing software programs and / or modules stored in the memory 402, and by calling data stored in the memory 402, thereby providing overall monitoring of the computer device. Optionally, the processor 401 may include one or more processing cores; preferably, the processor 401 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and computer programs, and the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into the processor 401.

[0138] The memory 402 can be used to store software programs and modules. The processor 401 executes various functional applications and data processing by running the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, computer programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the server, etc. In addition, the memory 402 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 with access to the memory 402.

[0139] The computer device also includes a power supply 403 that supplies power to the various components. Preferably, the power supply 403 can be logically connected to the processor 401 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 403 may also include one or more DC or AC power supplies, recharging systems, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0140] The computer device may also include an input unit 404, which can be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0141] Although not shown, the computer device may also include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, when the computer device is a model training computer device, the processor 401 in the computer device will load the executable files corresponding to the processes of one or more computer programs into the memory 402 according to the following instructions, and the processor 401 will run the computer programs stored in the memory 402 to perform the following steps:

[0142] Obtain the current target load power and the current target load power fluctuation of the load;

[0143] If the current target load power fluctuation is less than the first fluctuation, then control the current output power of the fuel cell to be the current target load power;

[0144] If the current target load power fluctuation is greater than the second fluctuation, then the current output power of the fuel cell is controlled to be the current target load power; the first fluctuation is less than the second fluctuation.

[0145] Using the aforementioned computer equipment, the current target load power and its fluctuation are obtained. When the fluctuation of the current target load power is less than a first fluctuation or greater than a second fluctuation, the current output power of the fuel cell is controlled to be the current target load power. If the fluctuation of the current target load power is less than the first fluctuation, it indicates that the load power is relatively stable. In this case, the output power of the fuel cell follows the fluctuation, which will not cause large fluctuations in the output power of the fuel cell, thereby extending the service life of the fuel cell. If the fluctuation of the current target load power is greater than the second fluctuation, it indicates that the load may experience changes in operating conditions, which may cause the load power to drop or rise rapidly. In this case, the output power of the fuel cell follows the fluctuation, which can ensure the power requirements of the load.

[0146] Those skilled in the art will understand that all or part of the steps in any of the methods in the above embodiments can be performed by a computer program or by a computer program controlling related hardware. The computer program can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0147] Fourthly, in one embodiment, the present invention provides a storage medium storing a plurality of computer programs that can be loaded by a processor to perform the following steps:

[0148] Obtain the current target load power and the current target load power fluctuation of the load;

[0149] If the current target load power fluctuation is less than the first fluctuation, then control the current output power of the fuel cell to be the current target load power;

[0150] If the current target load power fluctuation is greater than the second fluctuation, then the current output power of the fuel cell is controlled to be the current target load power; the first fluctuation is less than the second fluctuation.

[0151] The current target load power and its fluctuation are obtained through the aforementioned storage medium. When the fluctuation of the current target load power is less than the first fluctuation or greater than the second fluctuation, the current output power of the fuel cell is controlled to be the current target load power. If the fluctuation of the current target load power is less than the first fluctuation, it indicates that the load power is relatively stable. In this case, the output power of the fuel cell follows the fluctuation, which will not cause large fluctuations in the output power of the fuel cell, thereby extending the service life of the fuel cell. If the fluctuation of the current target load power is greater than the second fluctuation, it indicates that the load may experience changes in operating conditions, which may cause the load power to drop or rise rapidly. In this case, the output power of the fuel cell follows the fluctuation, which can ensure the power requirements of the load.

[0152] It will be understood by those skilled in the art that any references to memory, storage, database, or other media used in the embodiments provided in this invention may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), Synchlink, SLDRAM, RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0153] Since the computer program stored in the storage medium can execute the steps in the energy management method of the hybrid power system in any embodiment of the present invention, the beneficial effects that the energy management method of the hybrid power system in any embodiment of the present invention can achieve can be realized, as detailed in the preceding embodiments, and will not be repeated here.

[0154] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0155] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the detailed descriptions of other embodiments above, which will not be repeated here.

[0156] The present invention provides a detailed description of an energy management method, apparatus, device, and storage medium for a hybrid power system. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, those skilled in the art will recognize that there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

[0157] The technical features of the above embodiments can be combined in any way. For the sake of brevity, 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.

Claims

1. An energy management method for a hybrid power system, characterized in that, The energy management method of the hybrid power system is used to control the output power of the fuel cell in the hybrid power system, which is used to provide output power to the load. The energy management method for the hybrid power system includes: Obtain the current target load power and the current target load power fluctuation of the load; If the fluctuation of the current target load power is less than the first fluctuation, then the current output power of the fuel cell is controlled to be the current target load power; If the current target load power fluctuation is greater than the second fluctuation, then the current output power of the fuel cell is controlled to be the current target load power; the first fluctuation is less than the second fluctuation. The step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is less than the first fluctuation includes: If the current target load power fluctuation is less than the first fluctuation, and the first number of consecutive historical target load power fluctuations are all less than the first fluctuation, then the current output power of the fuel cell is controlled to be the current target load power. The step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is greater than the second fluctuation includes: If the current target load power fluctuation is greater than the second fluctuation, and a second number of consecutive historical target load power fluctuations are all greater than the second fluctuation, then the current output power of the fuel cell is controlled to be the current target load power.

2. The energy management method for a hybrid power system according to claim 1, characterized in that, After the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is less than the first fluctuation, and a first number of consecutive historical target load power fluctuations are all less than the first fluctuation, the energy management method of the hybrid power system further includes: The output power of the fuel cell is kept constant. After the next target load power fluctuation is greater than the first fluctuation, the process re-enters the step of "If the current target load power fluctuation is less than the first fluctuation, and the first number of consecutive historical target load power fluctuations are all less than the first fluctuation, then the current output power of the fuel cell is controlled to be the current target load power" to readjust the output power of the fuel cell. After the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is greater than the second fluctuation, and a second number of consecutive historical target load power fluctuations are all greater than the second fluctuation, the energy management method of the hybrid power system further includes: The output power of the fuel cell is kept constant. After the next target load power fluctuation is less than the second fluctuation, the process re-enters the step of controlling the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is greater than the second fluctuation and a second number of consecutive historical target load power fluctuations are all greater than the second fluctuation. This is to readjust the output power of the fuel cell.

3. The energy management method for a hybrid power system according to claim 1, characterized in that, Obtaining the current target load power fluctuation of the load includes: Obtain the current initial load power of the load and the third number of historical initial load powers that are consecutive to the current time in time; Determine the current initial load power and the absolute value of the difference between any two adjacent initial load powers in the third number of historical initial load powers; Based on the current initial load power and the absolute value of the difference between each two adjacent initial load powers in the third number of historical initial load powers, as well as the rated maximum load power, the fluctuation of the current initial load power is obtained, corresponding to the absolute value of the difference between each two adjacent initial load powers in the third number of historical initial load powers. The current initial load power fluctuation is obtained by summing the current initial load power and the absolute value of the difference between each two adjacent initial load powers in the third number of historical initial load powers. The current target load power fluctuation is obtained based on the current intermediate load power fluctuation.

4. The energy management method for a hybrid power system according to claim 3, characterized in that, The step of obtaining the current target load power fluctuation based on the current intermediate load power fluctuation includes: Obtain the fourth number of historical intermediate load power fluctuations that are consecutive to the current time in terms of time; The current target load power fluctuation is obtained by averaging the current intermediate load power fluctuation and the fourth number of historical intermediate load power fluctuations.

5. The energy management method for a hybrid power system according to claim 1, characterized in that, The step of obtaining the current target load power of the load includes: Obtain the current initial load power of the load and the fifth number of historical initial load powers that are consecutive to the current time in time; The current intermediate load power is obtained by averaging the current initial load power and the fifth number of historical initial load powers. Obtain the sixth number of historical intermediate load powers that are consecutive to the current time in terms of time; The current target load power is obtained by averaging the current intermediate load power and the sixth number of historical intermediate load powers.

6. The energy management method for a hybrid power system according to claim 1, characterized in that, Prior to the step of obtaining the current target load power and the current target load power fluctuation of the load, the energy management method of the hybrid power system further includes: Obtain the current state of charge of the lithium battery in the hybrid power system; If the current state of charge is greater than the first state of charge and less than the second state of charge, then proceed to the step of obtaining the current target load power and the current target load power fluctuation of the load.

7. An energy management device for a hybrid power system, characterized in that, The energy management device of the hybrid power system is used to control the output power of the fuel cell in the hybrid power system, and the hybrid power system is used to provide output power to the load; The energy management device of the hybrid power system includes: The parameter acquisition module is used to acquire the current target load power and the current target load power fluctuation of the load. The first control module is used to control the current output power of the fuel cell to be the current target load power if the fluctuation of the current target load power is less than the first fluctuation. The second control module is used to control the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is greater than the second fluctuation; the first fluctuation is less than the second fluctuation. The first control module is specifically used to control the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is less than the first fluctuation, and a first number of consecutive historical target load power fluctuations are all less than the first fluctuation. The second control module is specifically used to control the current output power of the fuel cell to be the current target load power if the current target load power fluctuation is greater than the second fluctuation, and a second number of consecutive historical target load power fluctuations are all greater than the second fluctuation.

8. A computer device, characterized in that, It includes a memory and a processor; the memory stores a computer program, and the processor is used to run the computer program in the memory to perform the steps in the energy management method of the hybrid power system according to any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium stores a computer program, which is loaded by a processor to execute the steps of the energy management method for the hybrid power system according to any one of claims 1 to 6.

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