A power allocation method, apparatus, device, medium, and product
By dynamically and adaptively allocating power, the fuel cell hybrid power system operates in the optimal efficiency range under all operating conditions, solving the problems of low efficiency, high energy consumption, and short lifespan of existing fuel cell hybrid power systems under sudden load changes, and achieving efficient and stable energy management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- FAW JIEFANG AUTOMOTIVE CO
- Filing Date
- 2026-06-08
- Publication Date
- 2026-07-14
Smart Images
Figure CN122379518A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of fuel cell hybrid power energy management and control technology, and in particular to a power distribution method, device, equipment, medium and product. Background Technology
[0002] Fuel cell hybrid power systems typically consist of a fuel cell system, an energy storage unit (lithium battery or supercapacitor), and a controller. They are widely used in fuel cell vehicles, forklifts, ships, distributed power generation, and construction machinery. Existing power distribution and energy management strategies often employ fixed threshold switching, direct load following, or simple proportional distribution methods, making it difficult to simultaneously achieve the comprehensive control objectives of optimal fuel cell efficiency, stable output, lowest energy consumption, and longevity across the entire operating range.
[0003] Therefore, there is an urgent need for a lightweight, adaptive, and highly efficient power allocation method. Summary of the Invention
[0004] This invention provides a power distribution method, apparatus, device, medium, and product to dynamically and adaptively distribute power according to the type of operating condition and load demand, so that the fuel cell always operates in the optimal efficiency range, achieving both energy saving and lifespan.
[0005] According to one aspect of the present invention, a power allocation method is provided, comprising: If the trigger time corresponding to the current control cycle is detected, the operating parameters of the fuel cell hybrid power system are collected, and the total load demand power and basic constraint parameters under the current operating conditions are determined. Based on the total load demand power, determine the operating condition type corresponding to the current operating condition, and based on the total load demand power, operating condition type, operating parameters and basic constraint parameters, determine the power allocation to the fuel cell and energy storage system in the fuel cell hybrid power system. Based on the allocated power, power allocation instructions are generated for the fuel cell and energy storage system to instruct them to operate according to the power allocation instructions and enter the trigger waiting phase of the next control cycle.
[0006] According to another aspect of the present invention, a power distribution device is provided, comprising: The acquisition module is used to acquire the operating parameters of the fuel cell hybrid power system if the trigger time corresponding to the current control cycle is detected, and to determine the total load demand power and basic constraint parameters under the current operating conditions. The determination module is used to determine the operating condition type corresponding to the current operating condition based on the total load demand power, and to determine the power allocation to the fuel cell and energy storage system in the fuel cell hybrid system based on the total load demand power, operating condition type, operating parameters and basic constraint parameters. The generation module is used to generate power allocation instructions for fuel cells and energy storage systems based on the allocated power, so as to instruct fuel cells and energy storage systems to operate based on the power allocation instructions and enter the trigger waiting phase of the next control cycle.
[0007] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the power distribution method according to any embodiment of the present invention.
[0008] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the power allocation method described in any embodiment of the present invention.
[0009] According to another aspect of the present invention, a computer program product is also provided, the computer program product including a computer program that, when executed by a processor, implements the power allocation method of any embodiment of the present invention.
[0010] The technical solution of this invention, if the trigger time corresponding to the current control cycle is detected, collects the operating parameters of the fuel cell hybrid power system and determines the total load demand power and basic constraint parameters under the current operating condition; based on the total load demand power, determines the operating condition type corresponding to the current operating condition, and determines the power allocation to the fuel cell and energy storage system in the fuel cell hybrid power system based on the total load demand power, operating condition type, operating parameters, and basic constraint parameters; based on the allocated power, generates a power allocation command for the fuel cell and energy storage system to instruct the fuel cell and energy storage system to operate according to the power allocation command and enter the trigger waiting stage of the next control cycle. By dynamically and adaptively allocating power according to the operating condition type and load demand, the fuel cell can always operate in the highest efficiency range across the entire operating condition range, reducing hydrogen consumption, improving energy utilization, suppressing fuel cell output power fluctuations, avoiding drastic changes, and extending service life.
[0011] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description
[0012] 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.
[0013] Figure 1 This is a flowchart of a power allocation method provided in an embodiment of the present invention; Figure 2 This is a structural block diagram of a power distribution device provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation
[0014] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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 should fall within the scope of protection of the present invention.
[0015] It should be noted that the terms "first," "second," "target," "candidate," and "alternative," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the invention described herein can be practiced in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus. The acquisition, storage, use, and processing of data in the technical solutions of this application comply with relevant laws and regulations.
[0016] It should be noted that many related technologies employ fixed threshold switching, direct load following, or simple proportional allocation methods, failing to fully consider the efficiency characteristics of fuel cells. This easily leads to fuel cells operating in inefficient regions such as light load and overload for extended periods, resulting in low hydrogen utilization and high overall system energy consumption. Under sudden load changes, the fuel cell output response is lagging and fluctuates drastically, easily causing internal stress damage and shortening its lifespan. Under light load conditions, fuel cells often operate in low-power standby or with frequent start-stop cycles, which not only results in low efficiency but also exacerbates battery degradation and increases energy consumption. Some complex optimization algorithms (such as model predictive control and intelligent optimization algorithms) have high computational loads and poor real-time performance, making it difficult to operate stably on low-cost onboard controllers. In other words, existing technologies struggle to simultaneously achieve the comprehensive control objectives of optimal fuel cell efficiency, stable output, lowest energy consumption, and lifespan friendliness across the entire operating range. To address these issues, this invention first calibrates the optimal efficiency point and high-efficiency range, and then uses this as the target for traction correction. Under light load, the fuel cell maintains high efficiency and charges the energy storage. Under non-light load, the fuel cell is limited to the high efficiency range, and the difference is made up by the energy storage. The core is to prioritize the optimal efficiency and coordinate smooth control, rather than simply following the flow, so as to achieve efficient power distribution. The specific implementation method will be described in detail in the subsequent embodiments.
[0017] Example 1 Figure 1 This is a flowchart of a power allocation method provided in an embodiment of the present invention. This embodiment is applicable to situations where power is dynamically and adaptively allocated according to the operating condition and load demand, ensuring that the fuel cell always operates within its optimal efficiency range, achieving a balance between energy saving and lifespan. This method can be executed by a power allocation device, which can be implemented in hardware and / or software. The power allocation device can be configured in electronic equipment, such as in electronic equipment configured with a fuel cell hybrid power system for commercial vehicles. This electronic equipment can be configured on the vehicle. The fuel cell hybrid power system mainly consists of a fuel cell engine, a power battery pack, a bidirectional controller, a vehicle controller, and a drive motor load. This method can be executed cyclically by the vehicle controller with a fixed millisecond-level control cycle to achieve optimal coordinated control of the fuel cell and energy storage unit under all operating conditions.
[0018] like Figure 1 As shown, the power allocation method includes: S101. If the trigger time corresponding to the current control cycle is detected, the operating parameters of the fuel cell hybrid power system are collected, and the total load demand power and basic constraint parameters under the current operating conditions are determined.
[0019] The control cycle refers to a preset cycle for power distribution and control of the fuel cell and energy storage system in a fuel cell hybrid system. Operating parameters may include the fuel cell's current output voltage, current, and real-time efficiency, as well as the real-time SOC (State of Charge) of the power battery, and parameters such as the temperature and bus voltage of the fuel cell hybrid system. The total load demand power refers to the total power output target required to meet the current electric drive needs of the entire vehicle; it is the core benchmark for power distribution between the fuel cell and energy storage system.
[0020] The fundamental constraints include those for the fuel cell, the energy storage unit, and system protection. Fuel cell constraints include: optimal efficiency point, high-efficiency operating range, minimum stable operating power, and maximum permissible output power. Energy storage unit constraints include charge / discharge power limits and safe state-of-charge range. System protection constraints include overvoltage, overcurrent, and temperature protection thresholds.
[0021] Optionally, determine the basic constraint parameters under the current operating conditions, including: determining the optimal efficiency point and high-efficiency operating range based on the efficiency-power characteristic curve, and determining the constraint parameters of the fuel cell in combination with the minimum stable operating power and maximum allowable output power of the fuel cell; determining the constraint parameters of the energy storage unit based on the charge and discharge power limits and the safe range of the state of charge, and determining the system protection constraint parameters based on the overvoltage, overcurrent and temperature protection thresholds.
[0022] The optimal efficiency point refers to the operating power point at which the energy conversion efficiency of the fuel cell reaches its highest level. The optimal efficiency point is located within the high-efficiency operating range, which refers to the power operating range within which the fuel cell can maintain a high energy conversion efficiency while ensuring the safety of component lifespan. The high-efficiency operating range includes: the lower limit of high-efficiency power and the upper limit of high-efficiency power.
[0023] The minimum stable operating power is the lowest output power at which a fuel cell can maintain stable operation and avoid lifespan damage. The maximum permissible output power is the maximum power that a fuel cell can continuously, stably, safely, and reliably output under rated operating conditions over a long period of time, and it meets the minimum stable operating power requirement. High-efficiency power lower limit Optimal efficiency point High-efficiency power limit Maximum permissible output power.
[0024] Optionally, the efficiency-power characteristic curve is a pre-configured curve with the fuel cell output power as the horizontal axis and the overall efficiency of the fuel cell system (net output power / hydrogen chemical energy input power) as the vertical axis. By determining the lag in the efficiency-power characteristic curve, the maximum value of the vertical axis (efficiency) can be identified as the optimal efficiency point. Furthermore, the power corresponding to the efficiency dropping to 90% of the optimal efficiency point can be taken as the lower limit of high-efficiency power, and the inflection point where efficiency begins to accelerate downward can be taken as the upper limit of high-efficiency power, thus determining the high-efficiency operating range.
[0025] S102. Based on the total load demand power, determine the operating condition type corresponding to the current operating condition, and based on the total load demand power, operating condition type, operating parameters and basic constraint parameters, determine the power allocation to the fuel cell and energy storage system in the fuel cell hybrid power system.
[0026] The total load demand power refers to the total power requirement that the entire fuel cell hybrid power system needs to output together to drive the terminal equipment. The total load demand power equals the sum of the power allocated to the fuel cell and the power allocated to the energy storage system in the fuel cell hybrid power system. The operating condition type is either light load or non-light load.
[0027] Optionally, the operating condition type corresponding to the current operating condition can be determined based on the correlation between the total load demand power and the minimum stable operating power in the basic constraint parameters. If the total load demand power is less than the minimum stable operating power in the basic constraint parameters, the operating condition type can be determined as a light load operating condition. If the total load demand power is greater than the minimum stable operating power in the basic constraint parameters, the operating condition type can be determined as a non-light load operating condition.
[0028] Optionally, based on the total load demand power, operating condition type, operating parameters, and basic constraint parameters, the power allocation between the fuel cell and energy storage system in the fuel cell hybrid power system is determined, including: (1) If the determined operating condition is light load, then, under the condition that the operating parameters meet the basic constraint parameters, the power allocation of the fuel cell and energy storage system in the fuel cell hybrid system is determined based on the optimal efficiency point and total load demand power in the basic constraint parameters.
[0029] Optionally, it can be determined whether the operating parameters meet the basic constraints when the real-time SOC of the power battery is within the safe range of the state of charge in the basic constraint parameters, the current output voltage, current, and temperature of the fuel cell are less than the overvoltage, overcurrent, and temperature protection thresholds in the basic constraint parameters, and the real-time efficiency in the operating parameters is close to the optimal efficiency point in the basic constraint parameters.
[0030] Optionally, based on the optimal efficiency point and total load demand power in the basic constraint parameters, the power allocation for the fuel cell and energy storage system in the fuel cell hybrid system is determined, including: determining the optimal efficiency point in the basic constraint parameters as the power allocation for the fuel cell in the fuel cell hybrid system; and determining the difference between the total load demand power and the optimal efficiency point as the power allocation for the energy storage system in the fuel cell hybrid system.
[0031] It should be noted that under light load conditions, the fuel cell does not enter a low-power standby or shutdown state, but directly outputs the power corresponding to its optimal efficiency point, thus enabling the system to operate stably in the high-efficiency range. At this time, the fuel cell output power is greater than the load demand power, and the excess power charges the energy storage unit through the bidirectional controller. This avoids the fuel cell operating in the low-efficiency range, improves the energy storage state of charge, reserves energy for subsequent peak load compensation, and avoids performance degradation caused by frequent start-stop operations.
[0032] (2) If the determined operating condition is a non-light load condition, the initial reference output power is determined, and the initial reference output power is traction-corrected and smoothed to determine the power distribution between the fuel cell and the energy storage system in the fuel cell hybrid system.
[0033] The initial reference output power refers to the provisional allocated power of the fuel cell, which is initially calculated based on the total load demand power.
[0034] Optionally, the initial reference output power can be determined based on the relationship between the total load demand power and the minimum stable operating power and maximum allowable output power in the basic constraint parameters. Specifically, if the minimum stable operating power... Total load power demand If the maximum allowable output power is determined, the total load demand power can be directly used as the initial reference output power. If the total load demand power is greater than the maximum allowable output power, the maximum allowable output power can be used as the initial reference output power. If the total load demand power is greater than the minimum stable operating power, the optimal efficiency point power is determined as the initial reference output power.
[0035] Optionally, the initial reference output power is subjected to traction correction and smoothing processing to determine the power allocation for the fuel cell and energy storage system in the fuel cell hybrid system. This includes: determining the correlation between the initial reference output power and the high-efficiency operating range in the basic constraint parameters; based on the correlation, traction correction is performed on the initial reference output power based on a preset adjustment step size limit, and the traction-corrected initial reference output power is filtered using a smoothing adjustment algorithm to obtain the power allocation for the fuel cell; and the power allocation for the energy storage system is determined based on the power allocation for the fuel cell and the total load demand power. The high-efficiency operating range includes a lower limit and an upper limit for high-efficiency power.
[0036] Optionally, the power command can be filtered using a smoothing adjustment algorithm to avoid sudden power changes and ensure output stability and component safety.
[0037] Optionally, based on the correlation relationship and a preset adjustment step size limit, the initial reference output power is subjected to a pull correction, including: if the initial reference output power is less than the lower limit of high-efficiency power, the initial reference output power is increased based on the preset adjustment step size limit to perform pull correction; if the initial reference output power is greater than the upper limit of high-efficiency power, the initial reference output power is decreased based on the preset adjustment step size limit to perform pull correction.
[0038] Optionally, the power change rate can be set according to the dynamic response characteristics of the fuel cell stack, and the preset single adjustment step size can be determined, i.e., the preset adjustment step size limit can be determined.
[0039] Optionally, increasing the initial reference output power means determining the sum of the initial reference output power and the preset adjustment step limit as the initial reference output power after traction correction, while decreasing the initial reference output power means determining the difference between the initial reference output power and the preset adjustment step limit as the initial reference output power after traction correction.
[0040] It should be noted that by setting a limit on the single adjustment step size, the drastic fluctuations in gas pressure and current density inside the fuel cell stack caused by sudden changes in output power can be avoided, suppressing system oscillations and shocks, thereby preventing sudden output changes and system oscillations and protecting the fuel cell stack.
[0041] It should be noted that, through traction correction, when the reference power is lower than the lower limit of the high-efficiency range, the output of the fuel cell is appropriately increased to bring it into the high-efficiency range, and the difference in power is used to charge the energy storage; when the reference power is higher than the upper limit of the high-efficiency range, the fuel cell is controlled to maintain operation within the high-efficiency range, and the insufficient power is supplemented by the discharge of the energy storage unit, so as to always satisfy the power balance relationship that the sum of the distributed power of the fuel cell and the energy storage system is equal to the total load demand power.
[0042] S103. Based on the allocated power, generate power allocation instructions for the fuel cell and energy storage system to instruct the fuel cell and energy storage system to operate based on the power allocation instructions and enter the trigger waiting phase of the next control cycle.
[0043] Optionally, power allocation instructions for the fuel cell and energy storage system can be generated based on the power allocated to the fuel cell and energy storage system respectively, so as to instruct the fuel cell and energy storage system to operate based on their respective allocated power to achieve stable power supply.
[0044] Optionally, after all processes of the current control cycle are completed, the system can enter the trigger waiting phase of the next control cycle. The system time is continuously monitored, and when the trigger time corresponding to the next control cycle is reached, all processes of the current control cycle are restarted. This process is repeated in a loop to achieve periodic control of the power of the fuel cell and energy storage system.
[0045] It should be noted that by determining the allocated power and instructing the fuel cell and energy storage system to operate based on the allocated power in a closed-loop iterative process with a fixed control cycle, the allocation strategy can be dynamically adjusted in real time to follow load changes. Under the premise of ensuring the vehicle's power performance, the fuel cell can operate in the optimal efficiency range for a long time. At the same time, by smoothing load fluctuations through energy storage, the comprehensive goals of reducing energy consumption, improving dynamic response and extending stack life are achieved. Moreover, the algorithm logic is simple and the amount of computation is small, and it can operate stably and reliably on conventional vehicle controllers.
[0046] The technical solution of this invention, if the trigger time corresponding to the current control cycle is detected, collects the operating parameters of the fuel cell hybrid power system and determines the total load demand power and basic constraint parameters under the current operating condition; based on the total load demand power, determines the operating condition type corresponding to the current operating condition, and determines the power allocation to the fuel cell and energy storage system in the fuel cell hybrid power system based on the total load demand power, operating condition type, operating parameters, and basic constraint parameters; based on the allocated power, generates a power allocation command for the fuel cell and energy storage system to instruct the fuel cell and energy storage system to operate according to the power allocation command and enter the trigger waiting stage of the next control cycle. By dynamically and adaptively allocating power according to the operating condition type and load demand, the fuel cell can always operate in the highest efficiency range across the entire operating condition range, reducing hydrogen consumption, improving energy utilization, suppressing fuel cell output power fluctuations, avoiding drastic changes, and extending service life.
[0047] Example 2 Figure 2 This is a structural block diagram of a power distribution device provided in an embodiment of the present invention. This embodiment is applicable to situations where power is dynamically and adaptively distributed according to the operating condition and load demand, ensuring that the fuel cell always operates within its optimal efficiency range, achieving a balance between energy saving and lifespan. The power distribution device provided by the present invention can execute the power distribution method provided in any embodiment of the present invention, possessing the corresponding functional modules and beneficial effects of the method. This power distribution device can be implemented in hardware and / or software and configured in an electronic device with power distribution functionality, such as... Figure 2 As shown, the power distribution device may specifically include: The acquisition module 201 is used to acquire the operating parameters of the fuel cell hybrid power system and determine the total load demand power and basic constraint parameters under the current operating condition if the trigger time corresponding to the current control cycle is detected. The determination module 202 is used to determine the operating condition type corresponding to the current operating condition based on the total load demand power, and to determine the power allocation to the fuel cell and energy storage system in the fuel cell hybrid power system based on the total load demand power, operating condition type, operating parameters and basic constraint parameters. The generation module 203 is used to generate power allocation instructions for the fuel cell and energy storage system according to the allocated power, so as to instruct the fuel cell and energy storage system to operate based on the power allocation instructions and enter the trigger waiting stage of the next control cycle.
[0048] The technical solution of this invention, if the trigger time corresponding to the current control cycle is detected, collects the operating parameters of the fuel cell hybrid power system and determines the total load demand power and basic constraint parameters under the current operating condition; based on the total load demand power, determines the operating condition type corresponding to the current operating condition, and determines the power allocation to the fuel cell and energy storage system in the fuel cell hybrid power system based on the total load demand power, operating condition type, operating parameters, and basic constraint parameters; based on the allocated power, generates a power allocation command for the fuel cell and energy storage system to instruct the fuel cell and energy storage system to operate according to the power allocation command and enter the trigger waiting stage of the next control cycle. By dynamically and adaptively allocating power according to the operating condition type and load demand, the fuel cell can always operate in the highest efficiency range across the entire operating condition range, reducing hydrogen consumption, improving energy utilization, suppressing fuel cell output power fluctuations, avoiding drastic changes, and extending service life.
[0049] Furthermore, the basic constraint parameters include the constraint parameters of the fuel cell, the constraint parameters of the energy storage unit, and the system protection constraint parameters. The acquisition module 201 is specifically used for: Based on the efficiency-power characteristic curve, the optimal efficiency point and high-efficiency operating range are determined, and the constraint parameters of the fuel cell are determined by combining the minimum stable operating power and the maximum allowable output power of the fuel cell. Based on the charging and discharging power limits and the safe state of charge range, the constraint parameters of the energy storage unit are determined, and the system protection constraint parameters are determined based on the overvoltage, overcurrent, and temperature protection thresholds.
[0050] Furthermore, the operating condition type is either a light-load operating condition or a non-light-load operating condition. Module 202 is specifically used for: If the determined operating condition is a light load condition, then, provided that the operating parameters meet the basic constraint parameters, the power allocation between the fuel cell and the energy storage system in the fuel cell hybrid system is determined based on the optimal efficiency point and the total load demand power in the basic constraint parameters. If the determined operating condition is a non-light load condition, then the initial reference output power is determined, and the initial reference output power is traction-corrected and smoothed to determine the power allocation between the fuel cell and the energy storage system in the fuel cell hybrid system.
[0051] Furthermore, the determining module 202 is also used for: The optimal efficiency point in the basic constraint parameters is determined as the power distribution of the fuel cell in the fuel cell hybrid system. The difference between the total load demand power and the optimal efficiency point is determined as the allocated power of the energy storage system in the fuel cell hybrid power system.
[0052] Furthermore, the determining module 202 is also used for: Determine the correlation between the initial reference output power and the high-efficiency operating range in the basic constraint parameters; the high-efficiency operating range includes: the lower limit of high-efficiency power and the upper limit of high-efficiency power; Based on the correlation, the initial reference output power is traction-corrected according to the preset adjustment step size limit, and the initial reference output power after traction correction is filtered by the smooth adjustment algorithm to obtain the power allocation to the fuel cell. The power allocation to the energy storage system is determined based on the power allocated to the fuel cell and the total load demand.
[0053] Furthermore, the determining module 202 is also used for: If the initial reference output power is less than the lower limit of high efficiency power, the initial reference output power will be increased based on the preset adjustment step limit to perform traction correction. If the initial reference output power is greater than the high-efficiency power upper limit, the initial reference output power will be reduced based on the preset adjustment step limit to perform traction correction.
[0054] Example 3 Figure 3 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Figure 3A schematic diagram of an electronic device 10, which can be used to implement embodiments of the present invention, is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.
[0055] like Figure 3 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory 12 or a random access memory 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the read-only memory 12 or loaded from storage unit 18 into the random access memory 13. The random access memory 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, read-only memory 12, and random access memory 13 are interconnected via a bus 14. An input / output interface 15 is also connected to the bus 14.
[0056] Multiple components in electronic device 10 are connected to input / output 15, including: input unit 16, such as a keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as a disk, optical disk, etc.; and communication unit 19, such as a network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.
[0057] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, central processing units, graphics processing units, various special-purpose artificial intelligence computing chips, various processors running machine learning model algorithms, digital signal processors, and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as power allocation methods.
[0058] In some embodiments, the power allocation method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via read-only memory 12 and / or communication unit 19. When the computer program is loaded into random access memory 13 and executed by processor 11, one or more steps of the power allocation method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the power allocation method by any other suitable means (e.g., by means of firmware).
[0059] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays, application-specific integrated circuits (ASICs), application-specific standard products (ASICs), system-on-a-chip (SoCs), complex programmable logic devices (PLCs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.
[0060] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.
[0061] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory, read-only memory, erasable programmable read-only memory, optical fibers, portable compact disk read-only memory, optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.
[0062] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a cathode ray tube or liquid crystal display) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (e.g., voice input, speech input, or tactile input).
[0063] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.
[0064] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product within the cloud computing service system to address the shortcomings of traditional physical hosts and virtual reality services, such as high management difficulty and weak business scalability.
[0065] In one embodiment, the present invention further includes a computer program product, which includes a computer program that, when executed by a processor, implements the power allocation method of any embodiment of the present invention.
[0066] In the implementation of a computer program product, computer program code for performing the operations of this invention can be written in one or more programming languages or a combination thereof. Programming languages include object-oriented programming languages as well as conventional procedural programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including local area networks (LANs) or wide area networks (WANs), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0067] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.
[0068] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.
Claims
1. A power distribution method, characterized in that, include: If the trigger time corresponding to the current control cycle is detected, the operating parameters of the fuel cell hybrid power system are collected, and the total load demand power and basic constraint parameters under the current operating conditions are determined. Based on the total load demand power, determine the operating condition type corresponding to the current operating condition, and based on the total load demand power, operating condition type, operating parameters and basic constraint parameters, determine the power allocation to the fuel cell and energy storage system in the fuel cell hybrid power system. Based on the allocated power, power allocation instructions are generated for the fuel cell and energy storage system to instruct them to operate according to the power allocation instructions and enter the trigger waiting phase of the next control cycle.
2. The method according to claim 1, characterized in that, in, The basic constraint parameters include the constraint parameters of the fuel cell, the constraint parameters of the energy storage unit, and the system protection constraint parameters; Accordingly, the basic constraint parameters under the current operating conditions are determined, including: Based on the efficiency-power characteristic curve, the optimal efficiency point and high-efficiency operating range are determined, and the constraint parameters of the fuel cell are determined by combining the minimum stable operating power and the maximum allowable output power of the fuel cell. Based on the charging and discharging power limits and the safe state of charge range, the constraint parameters of the energy storage unit are determined, and the system protection constraint parameters are determined based on the overvoltage, overcurrent, and temperature protection thresholds.
3. The method according to claim 1, characterized in that, in, The operating condition type is either light load or non-light load; Accordingly, based on the total load demand power, operating condition type, operating parameters, and basic constraint parameters, the power allocation for the fuel cell and energy storage system in the fuel cell hybrid power system is determined, including: If the determined operating condition is a light load condition, then, provided that the operating parameters meet the basic constraint parameters, the power allocation between the fuel cell and the energy storage system in the fuel cell hybrid system is determined based on the optimal efficiency point and the total load demand power in the basic constraint parameters. If the determined operating condition is a non-light load condition, then the initial reference output power is determined, and the initial reference output power is traction-corrected and smoothed to determine the power allocation between the fuel cell and the energy storage system in the fuel cell hybrid system.
4. The method according to claim 3, characterized in that, Based on the optimal efficiency point and total load demand power in the fundamental constraint parameters, the power allocation between the fuel cell and energy storage system in the fuel cell hybrid power system is determined, including: The optimal efficiency point in the basic constraint parameters is determined as the power distribution of the fuel cell in the fuel cell hybrid system. The difference between the total load demand power and the optimal efficiency point is determined as the allocated power of the energy storage system in the fuel cell hybrid power system.
5. The method according to claim 3, characterized in that, The initial reference output power is traction-corrected and smoothed to determine the power allocation between the fuel cell and energy storage system in the fuel cell hybrid system, including: Determine the correlation between the initial reference output power and the high-efficiency operating range in the basic constraint parameters; the high-efficiency operating range includes: the lower limit of high-efficiency power and the upper limit of high-efficiency power; Based on the correlation, the initial reference output power is traction-corrected according to the preset adjustment step size limit, and the initial reference output power after traction correction is filtered by the smooth adjustment algorithm to obtain the power allocation to the fuel cell. The power allocation to the energy storage system is determined based on the power allocated to the fuel cell and the total load demand.
6. The method according to claim 5, characterized in that, Based on the correlation, and using a preset adjustment step size limit, the initial reference output power is traction-corrected, including: If the initial reference output power is less than the lower limit of high efficiency power, the initial reference output power will be increased based on the preset adjustment step limit to perform traction correction. If the initial reference output power is greater than the upper limit of the high-efficiency power, the initial reference output power will be reduced based on the preset adjustment step limit to perform traction correction.
7. A power distribution device, characterized in that, include: The acquisition module is used to acquire the operating parameters of the fuel cell hybrid power system if the trigger time corresponding to the current control cycle is detected, and to determine the total load demand power and basic constraint parameters under the current operating conditions. The determination module is used to determine the operating condition type corresponding to the current operating condition based on the total load demand power, and to determine the power allocation to the fuel cell and energy storage system in the fuel cell hybrid system based on the total load demand power, operating condition type, operating parameters and basic constraint parameters. The generation module is used to generate power allocation instructions for fuel cells and energy storage systems based on the allocated power, so as to instruct fuel cells and energy storage systems to operate based on the power allocation instructions and enter the trigger waiting phase of the next control cycle.
8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that is executed by the at least one processor to enable the at least one processor to perform the power distribution method according to any one of claims 1-6.
9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the power allocation method according to any one of claims 1-6.
10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the power distribution method according to any one of claims 1-6.