Adaptive energy management method, device, medium and equipment

Abstract

The present application discloses an adaptive energy management method, device, medium and equipment, wherein the method comprises: when a characteristic curve of a fuel cell stack is monitored to change, recalculating the high efficiency interval of the fuel cell system, the high efficiency interval being the power output interval corresponding to when the efficiency in the characteristic curve is higher than a first threshold; sending the high efficiency interval to the vehicle controller so that the vehicle controller adaptively distributes the output power of the power battery system and the fuel cell system according to the high efficiency interval. The technical solution provided by the present application can adaptively distribute the output power of the fuel cell system and the power battery system, extend the service life of the fuel cell system, and improve the cruising range of the fuel cell vehicle.

Description

Technical Field

[0001] The present application belongs to the field of vehicle energy management technology, and in particular, relates to an adaptive energy management method, device, medium and equipment. Background Art

[0002] During the use of a fuel cell stack, different states of the stack (for example, different usage times of the stack) may lead to different output efficiencies of the stack. The existing vehicle energy management strategy does not consider the state of the stack when allocating power, making the energy management strategy unreasonable. Summary of the invention

[0003] The embodiments of the present application provide an adaptive energy management method, device, medium and equipment, which can adaptively distribute the output power of the fuel cell system and the power battery system to at least a certain extent, extend the service life of the fuel cell system, and improve the cruising range of the fuel cell vehicle.

[0004] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present application.

[0005] According to a first aspect of an embodiment of the present application, there is provided an adaptive energy management method, which is applied to a fuel cell vehicle, comprising:

[0006] When a change in the characteristic curve of the fuel cell stack is detected, a high efficiency interval of the fuel cell system is recalculated, where the high efficiency interval is a power output interval corresponding to when the efficiency in the characteristic curve is higher than a first threshold value;

[0007] The high-efficiency interval is sent to a vehicle controller so that the vehicle controller can adaptively distribute the output power of the power battery system and the fuel cell system according to the high-efficiency interval.

[0008] In some embodiments of the present application, based on the above solution, when a change in the characteristic curve of the fuel cell stack is detected, the high efficiency range of the fuel cell system is recalculated, including:

[0009] Acquiring voltage and current data output by the fuel cell stack at each monitoring point, and using the voltage and current data to construct a characteristic curve corresponding to each monitoring point;

[0010] If the variation of the characteristic curve at the later monitoring point compared with the characteristic curve at the earlier monitoring point is greater than a second threshold, the high efficiency interval corresponding to the characteristic curve at the later monitoring point is calculated as a new high efficiency interval of the fuel cell system.

[0011] In some embodiments of the present application, based on the above solution, when the output power of the power battery system and the fuel cell system is adaptively allocated according to the high-efficiency range, the vehicle controller is used to:

[0012] According to the high efficiency interval, determining a target output power corresponding to when the fuel cell system operates in the high efficiency interval;

[0013] The power demand of the whole vehicle is obtained, and the output power of the power battery system is determined according to the difference between the power demand of the whole vehicle and the target output power of the fuel cell system.

[0014] According to a second aspect of an embodiment of the present application, there is provided an adaptive energy management device, which is provided in a fuel cell vehicle, and includes:

[0015] A high efficiency interval calculation module, used to recalculate the high efficiency interval of the fuel cell system when a change in the characteristic curve of the fuel cell stack is detected, wherein the high efficiency interval is a power output interval corresponding to when the efficiency in the characteristic curve is higher than a first threshold value;

[0016] The high-efficiency interval sending module is used to send the high-efficiency interval to the vehicle controller so that the vehicle controller can adaptively distribute the output power of the power battery system and the fuel cell system according to the high-efficiency interval.

[0017] In some embodiments of the present application, based on the above solution, when a change in the characteristic curve of the fuel cell stack is detected and the high efficiency interval of the fuel cell system is recalculated, the high efficiency interval calculation module is used to:

[0018] Acquiring voltage and current data output by the fuel cell stack at each monitoring point, and using the voltage and current data to construct a characteristic curve corresponding to each monitoring point;

[0019] If the variation of the characteristic curve at the later monitoring point compared with the characteristic curve at the earlier monitoring point is greater than a second threshold, the high efficiency interval corresponding to the characteristic curve at the later monitoring point is calculated as a new high efficiency interval of the fuel cell system.

[0020] In some embodiments of the present application, based on the above solution, when the output power of the power battery system and the fuel cell system is adaptively allocated according to the high-efficiency range, the vehicle controller is used to:

[0021] According to the high efficiency interval, determining a target output power corresponding to when the fuel cell system operates in the high efficiency interval;

[0022] The power demand of the whole vehicle is obtained, and the output power of the power battery system is determined according to the difference between the power demand of the whole vehicle and the target output power of the fuel cell system.

[0023] According to a third aspect of an embodiment of the present application, there is provided an adaptive energy management method, which is applied to a fuel cell vehicle, comprising:

[0024] Acquire a high efficiency interval sent by a fuel cell controller, and adaptively distribute output power of a power battery system and the fuel cell system according to the high efficiency interval;

[0025] When the fuel cell controller detects that the characteristic curve of the fuel cell stack changes, the high efficiency range of the fuel cell system is recalculated, and the high efficiency range is the power output range corresponding to when the efficiency in the characteristic curve is higher than a first threshold.

[0026] In some embodiments of the present application, based on the above solution, when a change in the characteristic curve of the fuel cell stack is detected, when the high efficiency interval of the fuel cell system is recalculated, the fuel cell controller is used to:

[0027] Acquiring voltage and current data output by the fuel cell stack at each monitoring point, and using the voltage and current data to construct a characteristic curve corresponding to each monitoring point;

[0028] If the variation of the characteristic curve at the later monitoring point compared with the characteristic curve at the earlier monitoring point is greater than a second threshold, the high efficiency interval corresponding to the characteristic curve at the later monitoring point is calculated as a new high efficiency interval of the fuel cell system.

[0029] In some embodiments of the present application, based on the above solution, the output power of the power battery system and the fuel cell system is adaptively allocated according to the high efficiency range, including:

[0030] According to the high efficiency interval, determining a target output power corresponding to when the fuel cell system operates in the high efficiency interval;

[0031] The power demand of the whole vehicle is obtained, and the output power of the power battery system is determined according to the difference between the power demand of the whole vehicle and the target output power of the fuel cell system.

[0032] According to a fourth aspect of an embodiment of the present application, there is provided an adaptive energy management device, which is provided in a fuel cell vehicle, comprising:

[0033] A power allocation module, used to obtain a high-efficiency interval sent by a fuel cell controller, and adaptively allocate output power of a power battery system and the fuel cell system according to the high-efficiency interval;

[0034] When the fuel cell controller detects that the characteristic curve of the fuel cell stack changes, the high efficiency range of the fuel cell system is recalculated, and the high efficiency range is the power output range corresponding to when the efficiency in the characteristic curve is higher than a first threshold.

[0035] In some embodiments of the present application, based on the above solution, when a change in the characteristic curve of the fuel cell stack is detected and the high efficiency range of the fuel cell system is recalculated, the fuel cell controller is used to:

[0036] Acquiring voltage and current data output by the fuel cell stack at each monitoring point, and using the voltage and current data to construct a characteristic curve corresponding to each monitoring point;

[0037] If the variation of the characteristic curve at the later monitoring point compared with the characteristic curve at the earlier monitoring point is greater than a second threshold, the high efficiency interval corresponding to the characteristic curve at the later monitoring point is calculated as a new high efficiency interval of the fuel cell system.

[0038] In some embodiments of the present application, based on the above solution, when the output power of the power battery system and the fuel cell system is adaptively allocated according to the high-efficiency interval, the power allocation module is used to:

[0039] According to the high efficiency interval, determining a target output power corresponding to when the fuel cell system operates in the high efficiency interval;

[0040] The power demand of the whole vehicle is obtained, and the output power of the power battery system is determined according to the difference between the power demand of the whole vehicle and the target output power of the fuel cell system.

[0041] According to a fifth aspect of an embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the program is executed by a processor, the method steps as described in any one of the first aspect are implemented, or the method steps as described in any one of the third aspect are implemented.

[0042] According to the sixth aspect of an embodiment of the present application, an electronic device is provided, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the program, the method steps as described in any one of the first aspect are implemented, or the method steps as described in any one of the third aspect are implemented.

[0043] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application.

[0044] According to the adaptive energy management method provided by one or more embodiments of the present application, the fuel cell controller monitors the changes in the characteristic curve of the fuel cell stack and calculates the high-efficiency range of the fuel cell system after the change; the fuel cell controller feeds back the high-efficiency range to the vehicle controller, and the vehicle controller adaptively allocates the output power of the power battery system and the fuel cell system according to the high-efficiency range, so that the fuel cell stack always operates in a high-efficiency range that matches its state, thereby increasing the service life of the fuel cell system and the cruising range of the fuel cell vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0046] Figure 1 A flow chart of an adaptive energy management method in an embodiment of the present application is shown;

[0047] Figure 2 The structure diagram of the adaptive energy management device in the embodiment of the present application is shown;

[0048] Figure 3 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0050] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, devices, realizations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

[0051] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0052] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0053] See also Figure 1 , shows a flow chart of the adaptive energy management method in an embodiment of the present application.

[0054] like Figure 1 As shown, according to the first aspect of the embodiment of the present application, an adaptive energy management method is provided, which is applied to a fuel cell vehicle, including but not limited to being implemented by steps S101 to S102:

[0055] Step S101. When a change in the characteristic curve of the fuel cell stack is detected, a high efficiency interval of the fuel cell system is recalculated, where the high efficiency interval is a power output interval corresponding to when the efficiency in the characteristic curve is higher than a first threshold value;

[0056] Step S102: Send the high-efficiency interval to a vehicle controller so that the vehicle controller can adaptively allocate the output power of the power battery system and the fuel cell system according to the high-efficiency interval.

[0057] In step S101, as the use time of the fuel cell stack changes, the state of the fuel cell stack itself may also change, which may cause the high efficiency range of the fuel cell stack to change. Therefore, if the high efficiency range of the characteristic curve under a fixed state is still used to control the output power of the fuel cell stack, on the one hand, the power that the fuel cell stack can output may not work in the original working range, and on the other hand, using an output power that does not match the state of the fuel cell stack itself may cause damage to the fuel cell stack, thereby shortening the service life of the fuel cell stack.

[0058] Based on the above, in one implementation of step S101, the fuel cell controller is used to monitor the change of the characteristic curve caused by the change of the state of the fuel cell stack itself. Among them, the fuel cell controller FCU (Fuel-Cel l Engine Control Unit) includes control software and hardware, is the core of the hydrogen fuel cell engine system and the fuel cell vehicle control, is the control brain of the fuel cell engine system, can realize function testing, fault testing, bus diagnosis testing and automatic testing, and can be used in fuel cell vehicles such as hydrogen energy vehicles.

[0059] The characteristic curve refers to a curve constructed by mapping the efficiency of the fuel cell stack and the output current and voltage data. For example, the current and voltage data output by the fuel cell stack are taken as independent variables, and the efficiency of the fuel cell stack is taken as the dependent variable. The spline curve between the current and voltage data and the efficiency is obtained by fitting, which is the characteristic curve.

[0060] The first threshold refers to the minimum efficiency corresponding to the high efficiency range of the fuel cell system. That is, when the output efficiency of the fuel cell system is higher than the first threshold, the fuel cell system operates in the high efficiency range.

[0061] It should be understood that if the fuel cell controller monitors the characteristic curve of the fuel cell stack at different time points, then each monitoring time point should correspond to at least one characteristic curve, and each characteristic curve has a corresponding high-efficiency interval, that is, the power output interval corresponding to the efficiency being higher than the threshold in the characteristic curve.

[0062] In some implementations of step S101, when a change in the characteristic curve of the fuel cell stack is detected, the high efficiency range of the fuel cell system is recalculated, including:

[0063] Step S1011. Obtaining voltage and current data output by the fuel cell stack at each monitoring point, and using the voltage and current data to construct a characteristic curve corresponding to each monitoring point;

[0064] Step S1012: If the change amplitude of the characteristic curve at the later monitoring point compared with the characteristic curve at the earlier monitoring point is greater than a second threshold, the high efficiency interval corresponding to the characteristic curve at the later monitoring point is calculated as a new high efficiency interval of the fuel cell system.

[0065] In step S1011, the monitoring points may be at fixed intervals, for example, the voltage and current data output by the fuel cell stack may be collected every 1 hour, one day, one week, one month, etc., and a characteristic curve may be constructed based on the voltage and current data; the monitoring points may also be continuous time points, that is, the voltage and current data output by the fuel cell stack may be continuously collected, and a characteristic curve may be constructed based on the voltage and current data. The monitoring period setting of each monitoring point may be set according to actual needs, and is not limited here.

[0066] In step S1011, when constructing the characteristic curve, only the current data output by the fuel cell stack can be used as the independent variable, or only the voltage data output by the fuel cell stack can be used as the independent variable, or both the voltage data and the current data output by the fuel cell stack can be used as independent variables, which is not limited here.

[0067] For example: when using the current data output by the fuel cell stack as an independent variable, the stack efficiencies corresponding to 0A, 50A, 100A, 150A, 200A, 250A, 300A, and 350A can be calculated respectively, and then the corresponding high-efficiency range can be obtained, for example, the high-efficiency range is the power output range corresponding to an efficiency greater than 50%.

[0068] In step S1012 , the second threshold refers to the minimum variation range of the characteristic curve at the subsequent monitoring point compared with the characteristic curve at the previous monitoring point.

[0069] Since each monitoring point has a corresponding characteristic curve, if the characteristic curve at the later monitoring point changes compared to the characteristic curve at the earlier monitoring point, that is, the amplitude of the change is greater than the second threshold, it means that the state of the fuel cell stack itself has also changed, resulting in the corresponding high-efficiency interval may also have changed. Therefore, it is necessary to recalculate the high-efficiency interval corresponding to the characteristic curve at the later monitoring point so that the current high-efficiency interval can match the state of the fuel cell stack itself. On the one hand, it can avoid the power that the fuel cell stack can output from may not be able to work in the original working range. On the other hand, it can avoid damage to the fuel cell stack by using an output power that does not match the state of the fuel cell stack itself, thereby shortening the service life of the fuel cell stack.

[0070] In some embodiments of step S102, the output power of the power battery system and the fuel cell system is adaptively distributed through the vehicle controller. The vehicle controller VCU (Vehicle control unit) is the central control unit of the fuel cell vehicle and is the core of the entire control system. It can manage the energy of the fuel cell system and the power battery system so that the power system of the vehicle works in the optimal state.

[0071] Adaptive allocation means that when the characteristic curve of the fuel cell stack changes, resulting in a change in the high-efficiency range, the output power of the power battery system and the fuel cell system is automatically adjusted, so that the vehicle's power system operates in the optimal state, thereby increasing the service life of the fuel cell stack and the vehicle's range.

[0072] In some implementations of step S102, when adaptively allocating the output power of the power battery system and the fuel cell system according to the high efficiency range, the vehicle controller is used to:

[0073] Step S1021. According to the high efficiency interval, determining the target output power corresponding to when the fuel cell system operates in the high efficiency interval;

[0074] Step S1022: Obtain the power demand of the entire vehicle, and determine the output power of the power battery system according to the difference between the power demand of the entire vehicle and the target output power of the fuel cell system.

[0075] In step S1021, since the high-efficiency interval refers to the power output interval corresponding to when the efficiency in the characteristic curve is higher than the first threshold value, the corresponding target output power can be determined after calculating the new high-efficiency interval. Under this target output power, the fuel cell stack can not only maintain high-efficiency operation, but also will not cause damage to the battery due to the mismatch between the output power and its own state, thereby extending the service life of the fuel cell stack.

[0076] In step S1022, the vehicle power demand refers to the total power required during the operation of the fuel cell vehicle. The vehicle power demand is equal to the sum of the output power of the fuel cell system and the output power of the power battery system. After the target output power of the fuel cell system is determined, the output power of the power battery system can be determined by the difference between the vehicle power demand and the target output power of the fuel cell system.

[0077] Based on the above disclosed content, in the embodiment of the present application, the fuel cell stack status is automatically monitored by the fuel cell controller FCU during the operation of the vehicle. When the fuel cell stack characteristic curve changes due to the usage time, the fuel cell controller FCU recalculates the high-efficiency range of the fuel cell system and feeds back to the vehicle controller VCU. The power distribution between the fuel cell system and the power battery system is adjusted through the vehicle controller VCU to ensure that the fuel cell always operates in the high-efficiency range during the driving process of the vehicle, thereby extending the service life of the fuel cell system and improving the cruising range of the fuel cell vehicle.

[0078] The following describes an embodiment of the device of the present application, which can be used to execute the method in the above embodiment of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the above embodiment of the method of the present application.

[0079] See also Figure 2 , shows a structural block diagram of an adaptive energy device according to an embodiment of the present application.

[0080] like Figure 2 As shown, according to the second aspect of the embodiment of the present application, an adaptive energy management device 200 is provided, which is provided in a fuel cell vehicle, and includes:

[0081] The high efficiency interval calculation module 201 is used to recalculate the high efficiency interval of the fuel cell system when a change in the characteristic curve of the fuel cell stack is detected, wherein the high efficiency interval is a power output interval corresponding to when the efficiency in the characteristic curve is higher than a first threshold value;

[0082] The high-efficiency interval sending module 202 is used to send the high-efficiency interval to the vehicle controller so that the vehicle controller can adaptively distribute the output power of the power battery system and the fuel cell system according to the high-efficiency interval.

[0083] In some embodiments of the present application, based on the above solution, when a change in the characteristic curve of the fuel cell stack is detected and the high efficiency interval of the fuel cell system is recalculated, the high efficiency interval calculation module 201 is used to:

[0084] Acquiring voltage and current data output by the fuel cell stack at each monitoring point, and using the voltage and current data to construct a characteristic curve corresponding to each monitoring point;

[0085] If the variation of the characteristic curve at the later monitoring point compared with the characteristic curve at the earlier monitoring point is greater than a second threshold, the high efficiency interval corresponding to the characteristic curve at the later monitoring point is calculated as a new high efficiency interval of the fuel cell system.

[0086] In some embodiments of the present application, based on the above solution, when the output power of the power battery system and the fuel cell system is adaptively allocated according to the high-efficiency range, the vehicle controller is used to:

[0087] According to the high efficiency interval, determining a target output power corresponding to when the fuel cell system operates in the high efficiency interval;

[0088] The power demand of the whole vehicle is obtained, and the output power of the power battery system is determined according to the difference between the power demand of the whole vehicle and the target output power of the fuel cell system.

[0089] According to a third aspect of an embodiment of the present application, an adaptive energy management method is provided, which is applied to a fuel cell vehicle, including but not limited to:

[0090] Acquire a high efficiency interval sent by a fuel cell controller, and adaptively distribute output power of a power battery system and the fuel cell system according to the high efficiency interval;

[0091] When the fuel cell controller detects that the characteristic curve of the fuel cell stack changes, the high efficiency range of the fuel cell system is recalculated, and the high efficiency range is the power output range corresponding to when the efficiency in the characteristic curve is higher than a first threshold.

[0092] In some embodiments of the present application, based on the above solution, when a change in the characteristic curve of the fuel cell stack is detected, when the high efficiency interval of the fuel cell system is recalculated, the fuel cell controller is used to:

[0093] Acquiring voltage and current data output by the fuel cell stack at each monitoring point, and using the voltage and current data to construct a characteristic curve corresponding to each monitoring point;

[0094] If the variation of the characteristic curve at the later monitoring point compared with the characteristic curve at the earlier monitoring point is greater than a second threshold, the high efficiency interval corresponding to the characteristic curve at the later monitoring point is calculated as a new high efficiency interval of the fuel cell system.

[0095] In some embodiments of the present application, based on the above solution, the output power of the power battery system and the fuel cell system is adaptively allocated according to the high efficiency range, including:

[0096] According to the high efficiency interval, determining a target output power corresponding to when the fuel cell system operates in the high efficiency interval;

[0097] The power demand of the whole vehicle is obtained, and the output power of the power battery system is determined according to the difference between the power demand of the whole vehicle and the target output power of the fuel cell system.

[0098] According to a fourth aspect of an embodiment of the present application, there is provided an adaptive energy management device, which is provided in a fuel cell vehicle, comprising:

[0099] A power allocation module, used to obtain a high-efficiency interval sent by a fuel cell controller, and adaptively allocate output power of a power battery system and the fuel cell system according to the high-efficiency interval;

[0100] When the fuel cell controller detects that the characteristic curve of the fuel cell stack changes, the high efficiency range of the fuel cell system is recalculated, and the high efficiency range is the power output range corresponding to when the efficiency in the characteristic curve is higher than a first threshold.

[0101] In some embodiments of the present application, based on the above solution, when a change in the characteristic curve of the fuel cell stack is detected and the high efficiency range of the fuel cell system is recalculated, the fuel cell controller is used to:

[0102] Acquiring voltage and current data output by the fuel cell stack at each monitoring point, and using the voltage and current data to construct a characteristic curve corresponding to each monitoring point;

[0103] If the variation of the characteristic curve at the later monitoring point compared with the characteristic curve at the earlier monitoring point is greater than a second threshold, the high efficiency interval corresponding to the characteristic curve at the later monitoring point is calculated as a new high efficiency interval of the fuel cell system.

[0104] In some embodiments of the present application, based on the above solution, when the output power of the power battery system and the fuel cell system is adaptively allocated according to the high-efficiency interval, the power allocation module is used to:

[0105] According to the high efficiency interval, determining a target output power corresponding to when the fuel cell system operates in the high efficiency interval;

[0106] The power demand of the whole vehicle is obtained, and the output power of the power battery system is determined according to the difference between the power demand of the whole vehicle and the target output power of the fuel cell system.

[0107] According to a fifth aspect of an embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the program is executed by a processor, the method steps described in any one of the first aspects above are implemented.

[0108] The computer-readable storage medium may be a portable compact disk read-only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the computer-readable storage medium of the present application is not limited thereto. In the present application, the computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, apparatus, or device.

[0109] The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection with one or more conductors, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0110] Program code for performing the operations of the present application may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., using an Internet service provider to connect through the Internet).

[0111] See also Figure 3 , showing a schematic diagram of the structure of a computer system of an electronic device suitable for implementing an embodiment of the present application.

[0112] like Figure 3 As shown, the electronic device 400 is in the form of a general computing device. The components of the electronic device 400 may include but are not limited to: at least one processing unit 410, at least one storage unit 420, and a bus 430 connecting different system components (including the storage unit 420 and the processing unit 410).

[0113] The storage unit stores program codes, which can be executed by the processing unit 410, so that the processing unit 410 executes the steps described in the above “Example Method” section of this specification according to various exemplary implementations of the present application.

[0114] The storage unit 420 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 421 and / or a cache memory unit 422 , and may further include a read-only memory unit (ROM) 423 .

[0115] The storage unit 420 may also include a program / utility 424 having a set (at least one) of program modules 425, such program modules 425 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0116] Bus 430 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0117] The electronic device 400 may also communicate with one or more external devices 500 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 400, and / or communicate with any device that enables the electronic device 400 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 450. Furthermore, the electronic device 400 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 460. As shown, the network adapter 460 communicates with other modules of the electronic device 400 via a bus 430. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 400, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0118] The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored as one or more instructions or codes on a computer-readable medium or transmitted via a computer-readable medium. Other examples and implementations are within the scope and spirit of the present invention and the appended claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hard wiring, or a combination of any of these. In addition, each functional unit may be integrated into a processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit.

[0119] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0120] The units described as separate components may or may not be physically separated, and the components of the control device may or may not be physical units, that is, they may be located in one place or distributed in multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0121] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0122] The above description is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present application shall be included in the scope of the claims of the present application.

Claims

1. An adaptive energy management method, applied to a fuel cell vehicle, characterized in that: include: When a change in the characteristic curve of the fuel cell stack is detected, a high efficiency interval of the fuel cell system is recalculated, where the high efficiency interval is a power output interval corresponding to when the efficiency in the characteristic curve is higher than a first threshold value; Sending the high-efficiency interval to a vehicle controller so that the vehicle controller adaptively distributes the output power of the power battery system and the fuel cell system according to the high-efficiency interval; When the characteristic curve of the fuel cell stack is monitored to change, the high efficiency range of the fuel cell system is recalculated, including: Obtaining voltage data and current data output by the fuel cell stack at each monitoring point, and using the voltage data and / or current data to construct a characteristic curve corresponding to each monitoring point, wherein the characteristic curve is a curve constructed by a mapping relationship between the voltage data and / or the current data and the efficiency; If the variation of the characteristic curve at the later monitoring point compared with the characteristic curve at the earlier monitoring point is greater than the second threshold, the high efficiency interval corresponding to the characteristic curve at the later monitoring point is calculated as a new high efficiency interval of the fuel cell system.

2. The method according to claim 1, characterized in that When the output power of the power battery system and the fuel cell system is adaptively distributed according to the high-efficiency range, the vehicle controller is used to: According to the high efficiency interval, determining a target output power corresponding to when the fuel cell system operates in the high efficiency interval; The power demand of the whole vehicle is obtained, and the output power of the power battery system is determined according to the difference between the power demand of the whole vehicle and the target output power of the fuel cell system.

3. An adaptive energy management device, provided in a fuel cell vehicle, characterized in that: include: A high efficiency interval calculation module, used to recalculate the high efficiency interval of the fuel cell system when a change in the characteristic curve of the fuel cell stack is detected, wherein the high efficiency interval is a power output interval corresponding to when the efficiency in the characteristic curve is higher than a first threshold value; A high-efficiency interval sending module, used to send the high-efficiency interval to the vehicle controller, so that the vehicle controller can adaptively distribute the output power of the power battery system and the fuel cell system according to the high-efficiency interval; When the characteristic curve of the fuel cell stack is monitored to change, the high efficiency range of the fuel cell system is recalculated, including: Obtaining voltage data and current data output by the fuel cell stack at each monitoring point, and using the voltage data and / or current data to construct a characteristic curve corresponding to each monitoring point, wherein the characteristic curve is a curve constructed by a mapping relationship between the voltage data and / or the current data and the efficiency; If the variation of the characteristic curve at the later monitoring point compared with the characteristic curve at the earlier monitoring point is greater than the second threshold, the high efficiency interval corresponding to the characteristic curve at the later monitoring point is calculated as a new high efficiency interval of the fuel cell system.

4. An adaptive energy management method, applied to a fuel cell vehicle, characterized in that: include: Acquire a high efficiency interval sent by a fuel cell controller, and adaptively distribute output power of a power battery system and the fuel cell system according to the high efficiency interval; Wherein, when the fuel cell controller detects that the characteristic curve of the fuel cell stack changes, the high efficiency interval of the fuel cell system is recalculated, and the high efficiency interval is the power output interval corresponding to when the efficiency in the characteristic curve is higher than the first threshold value; When the characteristic curve of the fuel cell stack is monitored to change, the high efficiency range of the fuel cell system is recalculated, including: Obtaining voltage data and current data output by the fuel cell stack at each monitoring point, and using the voltage data and / or current data to construct a characteristic curve corresponding to each monitoring point, wherein the characteristic curve is a curve constructed by a mapping relationship between the voltage data and / or the current data and the efficiency; If the variation of the characteristic curve at the later monitoring point compared with the characteristic curve at the earlier monitoring point is greater than the second threshold, the high efficiency interval corresponding to the characteristic curve at the later monitoring point is calculated as a new high efficiency interval of the fuel cell system.

5. The method according to claim 4, characterized in that According to the high efficiency range, the output power of the power battery system and the fuel cell system is adaptively distributed, including: According to the high efficiency interval, determining a target output power corresponding to when the fuel cell system operates in the high efficiency interval; The power demand of the whole vehicle is obtained, and the output power of the power battery system is determined according to the difference between the power demand of the whole vehicle and the target output power of the fuel cell system.

6. An adaptive energy management device, provided in a fuel cell vehicle, characterized in that: include: A power allocation module, used to obtain a high-efficiency interval sent by a fuel cell controller, and adaptively allocate output power of a power battery system and the fuel cell system according to the high-efficiency interval; Wherein, when the fuel cell controller detects that the characteristic curve of the fuel cell stack changes, the high efficiency interval of the fuel cell system is recalculated, and the high efficiency interval is the power output interval corresponding to when the efficiency in the characteristic curve is higher than the first threshold value; When the characteristic curve of the fuel cell stack is monitored to change, the high efficiency range of the fuel cell system is recalculated, including: Obtaining voltage data and current data output by the fuel cell stack at each monitoring point, and using the voltage data and / or current data to construct a characteristic curve corresponding to each monitoring point, wherein the characteristic curve is a curve constructed by a mapping relationship between the voltage data and / or the current data and the efficiency; If the variation of the characteristic curve at the later monitoring point compared with the characteristic curve at the earlier monitoring point is greater than the second threshold, the high efficiency interval corresponding to the characteristic curve at the later monitoring point is calculated as a new high efficiency interval of the fuel cell system.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method steps described in any one of claims 1-2 are implemented, or the method steps described in any one of claims 4-5 are implemented.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method steps as claimed in any one of claims 1 to 2, or implements the method steps as claimed in any one of claims 4 to 5 when executing the program.

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