Energy efficiency optimization method and device of hybrid power system based on power coupling

Abstract

The present application provides an energy efficiency optimization method and device based on power coupling, which is applied to a hybrid power system. The method includes: using a preset energy consumption management optimization algorithm to process the first residual power of the lithium battery, obtaining the optimized power and optimized bus voltage of the fuel cell under the first residual power, and the optimized power is the power supply power supplied by the fuel cell to the lithium battery; according to the optimized power and the load power of the hybrid power system, the first output power of the fuel cell is obtained; using a preset low-pass filter to decouple the first output power to obtain the command power of the fuel cell; according to the command power, the output current of the hybrid power system is adjusted; according to the optimized bus voltage, the working voltage of the hybrid power system is adjusted. In this way, according to the different dynamic characteristics of the hybrid power system, the energy management efficiency of the fuel cell hybrid power device combining the battery and the supercapacitor is improved.

Description

Technical Field

[0001] The present application relates to the technical field of energy efficiency control, and in particular to an energy efficiency optimization method and device for a hybrid power system based on power coupling. Background Art

[0002] With the acceleration of economic globalization, the characteristics of shipping, such as large carrying capacity and low cost, are becoming increasingly important. Traditional diesel-powered ships consume a lot of fossil energy during navigation, causing pollution. The emergence of fuel cells directly converts chemical energy into electrical energy without mechanical processes. Compared with rechargeable batteries, they can generate electricity continuously as long as fuel and oxidant are supplied. Due to its advantages such as low operating temperature, fast start-up, high efficiency, zero emission, low noise, and long life, it has been successfully used in various applications.

[0003] Of course, fuel cells also have many disadvantages, such as the inability to store energy, and the safety of hydrogen as a fuel also needs to be considered. Therefore, in order to make it more widely used, it is usually connected in parallel with supercapacitors, and the supercapacitors are connected in parallel to the busbar, so that the power of the fuel cell can be more accurately controlled. Due to the introduction of supercapacitors and the hybrid energy system composed of two power sources, its complexity has been greatly increased. Therefore, how to coordinate the different dynamic characteristics of the hybrid system and improve the energy management efficiency of the fuel cell hybrid equipment combining batteries and supercapacitors has become an urgent problem to be solved.

[0004] Based on the actual needs in the above scenarios, the present application proposes a method and device for optimizing energy efficiency of a hybrid power system based on power coupling. Summary of the invention

[0005] The present application provides a method and device for optimizing the energy efficiency of a hybrid power system based on power coupling, so as to improve the energy management efficiency of a fuel cell hybrid power device combining a battery and an ultracapacitor according to different dynamic characteristics of the hybrid power system.

[0006] The first aspect of the present application provides an energy efficiency optimization method based on power coupling, which is applied to a hybrid power system, wherein the hybrid power system includes a lithium battery and a fuel cell, and the method includes: using a preset energy consumption management optimization algorithm to process a first residual power of the lithium battery, and obtaining an optimized power and an optimized bus voltage of the fuel cell under the first residual power, the optimized power being the power supply power supplied to the lithium battery by the fuel cell; obtaining a first output power of the fuel cell based on the optimized power and the load power of the hybrid power system; using a preset low-pass filter to power decouple the first output power to obtain a command power of the fuel cell; adjusting the output current of the hybrid power system based on the command power; and adjusting the operating voltage of the hybrid power system based on the optimized bus voltage.

[0007] By adopting the above method, the present application improves and optimizes the energy efficiency maximization strategy according to the structural characteristics of the fuel cell hybrid power system, optimizes the power supply power and bus voltage supplied by the fuel cell to the lithium battery, and adjusts the output current and operating voltage of the hybrid power system according to the optimized power and optimized bus voltage, thereby improving the energy management efficiency of the fuel cell hybrid power equipment.

[0008] Optionally, the operating voltage of the hybrid system is adjusted according to the optimized bus voltage, specifically including: obtaining a bus voltage difference according to the optimized bus voltage and a preset DC bus voltage; obtaining a voltage adjustment amount of the hybrid system according to the bus voltage difference and the actual voltage of the lithium battery; and adjusting the operating voltage of the hybrid system according to the voltage adjustment amount.

[0009] By adopting the above method, the voltage adjustment amount of the hybrid system is obtained according to the bus voltage difference and the actual voltage of the lithium battery; according to the voltage adjustment amount, the working voltage of the hybrid system is adjusted to ensure that the entire hybrid system operates at the most appropriate voltage.

[0010] Optionally, a preset energy consumption management optimization algorithm is used to process the first residual power of the lithium battery to obtain the optimized power and the optimized bus voltage under the first residual power, specifically including: taking the first residual power and the minimum power of the lithium battery as inputs of the preset energy consumption management optimization algorithm to obtain the optimized power; according to the fuel cell polarization characteristic curve, querying the optimized current of the fuel cell under the first residual power corresponding to the optimized power; according to the optimized current, obtaining the optimized fuel consumption of the fuel cell under the first residual power; according to the optimized power, the optimized current and the optimized fuel consumption, obtaining the optimized bus voltage.

[0011] Optionally, the preset low-pass filter is a Butterworth low-pass filter.

[0012] By adopting the above method, a Butterworth low-pass filter is used to decouple the fluctuating first output power, thereby smoothing the fluctuation in the first output power waveform and reducing the sharpness of the waveform, thereby obtaining a low-frequency command power of the fuel cell.

[0013] Optionally, the voltage adjustment amount of the hybrid power system is the bus voltage difference plus the actual voltage of the lithium battery minus the preset DC bus voltage.

[0014] Optionally, the method further includes: acquiring a real-time bus voltage of the hybrid power system; and adjusting a time constant of a preset low-pass filter according to the real-time bus voltage.

[0015] Optionally, the time constant of the preset low-pass filter is adjusted according to the real-time bus voltage, specifically including: when the real-time bus voltage is within the preset bus voltage range, maintaining the time constant as the initial time constant; when the real-time bus voltage is outside the preset bus voltage range, correcting the filter time constant according to the rate of change of the filter time constant.

[0016] By adopting the above method, the filtering time constant is corrected so that the preset low-pass filter can achieve a better filtering effect.

[0017] A second aspect of the present application provides an energy efficiency optimization device for a hybrid power system based on power coupling, the device comprising an algorithm optimization unit, a power adjustment unit, a power decoupling unit and an output control unit.

[0018] The algorithm optimization unit is used to process the first residual power of the lithium battery using a preset energy consumption management optimization algorithm to obtain the optimized power and optimized bus voltage of the fuel cell under the first residual power, and the optimized power is the power supply supplied by the fuel cell to the lithium battery.

[0019] The power adjustment unit is used to obtain the first output power of the fuel cell according to the optimized power and the load power of the hybrid power system.

[0020] The power decoupling unit is used to perform power decoupling on the first output power by using a preset low-pass filter to obtain a command power of the fuel cell.

[0021] The output control unit is used to adjust the output current of the hybrid power system according to the command power; and adjust the operating voltage of the hybrid power system according to the optimized bus voltage.

[0022] A third aspect of the present application provides an electronic device, which includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes any of the above methods.

[0023] A fourth aspect of the present application provides a computer-readable storage medium, which stores instructions. When the instructions are executed, any one of the above methods is executed.

[0024] Compared with the related art, the beneficial effects of this application are:

[0025] 1. This application improves and optimizes the energy efficiency maximization strategy according to the structural characteristics of the fuel cell hybrid system by adopting the above method, optimizes the power supply power and bus voltage supplied by the fuel cell to the lithium battery, and adjusts the output current and operating voltage of the hybrid system according to the optimized power and optimized bus voltage, thereby improving the energy management efficiency of the fuel cell hybrid equipment.

[0026] 2. By adopting the above method, the voltage adjustment amount of the hybrid system is obtained according to the bus voltage difference and the actual voltage of the lithium battery; according to the voltage adjustment amount, the working voltage of the hybrid system is adjusted to ensure that the entire hybrid system operates at the most appropriate voltage.

[0027] 3. By adopting the above method, a Butterworth low-pass filter is used to decouple the fluctuating first output power, thereby smoothing the fluctuation in the first output power waveform and reducing the sharpness of the waveform, thereby obtaining a low-frequency command power of the fuel cell. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a flowchart of an energy efficiency optimization method based on power coupling provided in an embodiment of the present application;

[0029] Figure 2 It is a schematic diagram of the principle of an energy efficiency optimization method based on power coupling provided in an embodiment of the present application;

[0030] Figure 3 It is a schematic diagram of the principle of an energy efficiency optimization method based on power coupling provided in an embodiment of the present application;

[0031] Figure 4 This is a schematic diagram of a functional relationship between a DC bus voltage and a filtering time constant provided in an embodiment of the present application;

[0032] Figure 5 It is a schematic diagram of the structural principle of adjusting a hybrid power system provided by an embodiment of the present application;

[0033] Figure 6 It is a schematic diagram of a first simulation result of an energy efficiency optimization method based on power coupling provided in an embodiment of the present application;

[0034] Figure 7 is a schematic diagram of a second simulation result of an energy efficiency optimization method based on power coupling provided in an embodiment of the present application;

[0035] Figure 8 is a schematic diagram of a third simulation result of an energy efficiency optimization method based on power coupling provided in an embodiment of the present application;

[0036] Fig. 9 is a schematic diagram of a fourth simulation result of an energy efficiency optimization method based on power coupling provided in an embodiment of the present application;

[0037] Fig.10 It is a structural schematic diagram of an energy efficiency optimization device based on power coupling provided in an embodiment of the present application;

[0038] Fig.11It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0039] Attached figures: 1001, algorithm optimization unit; 1002, power adjustment unit; 1003, power decoupling unit; 1004, output control unit; 1100, electronic device; 1101, processor; 1102, communication bus; 1103, user interface; 1104, network interface; 1105, memory. DETAILED DESCRIPTION

[0040] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0041] In the description of the embodiments of the present application, words such as "illustrative", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "illustrative", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "illustrative", "for example" or "for example" is intended to present related concepts in a specific way.

[0042] In the description of the embodiments of the present application, unless otherwise stated, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0043] The method in the embodiments of the present application is applied to various hybrid power systems, including but not limited to automobiles, ships, drones, etc. The present application takes a marine fuel cell hybrid power system as an example to illustrate the specific contents of the embodiments of the present application. The marine fuel cell hybrid power system is a hybrid power system composed of a fuel cell and a lithium battery.

[0044] The embodiment of the present application provides an energy efficiency optimization method based on power coupling, which is applied to a hybrid power system, wherein the hybrid power system includes a lithium battery and a fuel cell, such as Figure 1 As shown, the method includes steps S101-S104.

[0045] S101, using a preset energy consumption management optimization algorithm to process a first residual power of the lithium battery, to obtain an optimized power and an optimized bus voltage of the fuel cell under the first residual power, wherein the optimized power is the power supplied by the fuel cell to the lithium battery.

[0046] Due to the introduction of a hybrid energy system consisting of supercapacitors and two power sources, its complexity is greatly increased. In order to coordinate the different dynamic characteristics of the hybrid power system, an embodiment of the present application provides an offline optimization algorithm to process a first residual power of the lithium battery, and obtain the optimized power and optimized bus voltage of the fuel cell under the first residual power. The optimized power is the power supplied to the lithium battery by the fuel cell.

[0047] In a possible implementation, a preset energy consumption management optimization algorithm is used to process the first remaining power of the lithium battery to obtain the optimized power and the optimized bus voltage under the first remaining power, which specifically includes steps S1011-S1014.

[0048] The preset energy management optimization algorithm (EEMS optimization algorithm) gives the minimum fuel consumption that can be achieved under a given load curve while keeping the lithium battery SOC within its limits, such as Figure 2 As shown. The initial value and minimum value of the lithium battery SOC are used as the input of the load curve, and the output is the required minimum fuel consumption. The specific application steps are as follows:

[0049] S1011, using the first remaining power and the minimum power of the lithium battery as inputs of a preset energy consumption management optimization algorithm to obtain optimized power.

[0050] S1012, querying the optimal current of the fuel cell under the first remaining power corresponding to the optimized power according to the polarization characteristic curve of the fuel cell.

[0051] S1013, obtaining an optimized fuel consumption of the fuel cell under a first residual power according to the optimized current.

[0052] S1014, obtaining an optimized bus voltage according to the optimized power, the optimized current and the optimized fuel consumption.

[0053] Specifically, the optimization process is defined as follows:

[0054] Find the optimal solution in the following formula;

[0055] ;

[0056] Among them, P fc (n) is the fuel cell power at the nth sampling point.

[0057] The formula constraints are as follows (k=1, 2, 3…n):

[0058] ;

[0059] Among them, SOC0 is the first remaining power, that is, the initial value of the remaining power of the lithium battery, which is SOC min Minimum value for lithium battery, P load is the load power.

[0060] The boundary conditions are as follows:

[0061] ;

[0062] Where n is the number of samples, △T is the duration of the load curve, and y (k) For k The battery energy after samples, P fc_min is the minimum value of fuel cell power, P fc_max is the maximum value of the fuel circuit power, H is the total fuel cell energy required for the entire load curve, and minimizing H means minimizing the net capacity of the fuel cell (in Ah), so the H2 consumption is minimized.

[0063] In the embodiment of the present application, the optimized power X of the fuel cell is obtained by the above algorithm. opt ; The optimal fuel cell current is obtained by using a lookup table derived from the fuel cell polarization curve , and the optimal fuel consumption is calculated as follows:

[0064] ;

[0065] Where N is the number of fuel cells and F is the Faraday constant in C / mol.

[0066] S102, obtaining a first output power of the fuel cell according to the optimized power and the load power of the hybrid power system.

[0067] In the embodiment of the present application, the first output power of the fuel cell is the sum of the optimized power and the load power of the hybrid power system.

[0068] S103, using a preset low-pass filter to perform power decoupling on the first output power to obtain a command power of the fuel cell.

[0069] In a possible implementation manner, the preset low-pass filter is a Butterworth low-pass filter.

[0070] In the embodiment of the present application, the Butterworth low-pass filter is a filter whose frequency response curve within the passband is maximally flat, and is used to smooth out fluctuations and reduce the sharpness of waveforms.

[0071] In the embodiment of the present application, the first output power of the fuel cell is the current reference power of the system. By decoupling the reference power, a more accurate command power of the fuel cell is obtained, so that the energy management of the fuel cell can be optimized. The overall power decoupling control structure is as follows: Figure 3 shown.

[0072] Specifically, by setting the reference power P fc_ref Input into the Butterworth low-pass filter to obtain the command power P fc The low-pass filter uses a first-order Butterworth low-pass filter, and its transfer function is:

[0073] ;

[0074] In a possible implementation, the method further includes: acquiring a real-time bus voltage of the hybrid power system; and adjusting a time constant of a preset low-pass filter according to the real-time bus voltage.

[0075] In the embodiment of the present application, the fuel cell power can be decoupled according to the low-pass filtering principle, but the constraints of the energy storage system itself are not considered. The stability of the system is closely related to the safe navigation of the ship and the stability of the bus voltage. Considering the constraints of the bus voltage can ensure the quality of the bus voltage and improve the stability of the system. Therefore, the energy management strategy should be optimized in combination with the state of the bus voltage. The variable filter time constant control method based on bus voltage is implemented by low-pass filtering, and the filter time constant is changed by the state of the bus voltage.

[0076] In a possible implementation manner, adjusting the time constant of the preset low-pass filter according to the real-time bus voltage specifically includes:

[0077] When the real-time bus voltage is within the preset bus voltage range, the time constant is maintained as the initial time constant; when the real-time bus voltage is outside the preset bus voltage range, the filter time constant is corrected according to the change rate of the filter time constant.

[0078] When the bus voltage is at a normal value, the filter time constant is an initial given value. When the bus voltage is lower than or higher than the normal value, the bus voltage is constrained by limiting and correcting the filter time constant.

[0079] Based on the relationship diagram between bus voltage and filter time constant, such as Figure 4 As shown. Among them, T0 is the filtering time constant when the bus voltage is normal, T max is the maximum value of the filtering time constant, T min The minimum value of the filter time constant, the slope k is the rate of change of the filter time constant, and the correction amount of the filter time is △T=kT s :T sis the cycle time constant.

[0080] S104 includes steps S1041 and S1042.

[0081] S1041, adjusting the output current of the hybrid power system according to the command power.

[0082] In the present application embodiment, Figure 2 As shown, according to the command power obtained, divided by the fuel cell system output voltage V fc (i.e., the preset DC bus voltage), and the output current I of the hybrid system is adjusted fc_ref .

[0083] S1042, adjusting the operating voltage of the hybrid power system according to the optimized bus voltage.

[0084] In one possible implementation, the operating voltage of the hybrid system is adjusted according to the optimized bus voltage, specifically including: obtaining a bus voltage difference according to the optimized bus voltage and a preset DC bus voltage; obtaining a voltage adjustment amount of the hybrid system according to the bus voltage difference and the actual voltage of the lithium battery; and adjusting the operating voltage of the hybrid system according to the voltage adjustment amount.

[0085] In the present application embodiment, Figure 2 As shown in FIG. 1 , according to the optimized bus voltage and the preset DC bus voltage, the bus voltage difference △V is obtained. dc ; According to the bus voltage difference and the actual voltage of the lithium battery, the voltage adjustment amount of the hybrid power system is obtained; according to the voltage adjustment amount, the operating voltage of the hybrid power system is adjusted.

[0086] In a possible implementation, the voltage adjustment amount of the hybrid system is the bus voltage difference ΔV dc Add the actual voltage of the lithium battery △V dc_ref Subtract the preset DC bus voltage △V dc .

[0087] In the embodiment of the present application, the voltage adjustment amount of the hybrid power system is input into the voltage regulator to adjust the operating voltage of the system according to the voltage adjustment amount.

[0088] For example, a simulation analysis is performed on the method in the embodiment of the present application:

[0089] The EEMS control method improved by this method is simulated in MATLAB / Simulink, as shown in Figure 5As shown, according to the characteristics of the hybrid power system design of this application, the energy management strategy is improved and optimized, with the purpose of further optimizing the energy management to enhance the robustness of the system. In order to verify the effectiveness of the improved optimization strategy, the external energy efficiency maximization management strategy (EEMS) and the improved external energy efficiency maximization management strategy (improved EEMS) are compared and simulated.

[0090] like Figure 5 , which is a schematic diagram of the structural principle of a hybrid power system provided in an embodiment of the present application.

[0091] from Figure 6 and 7 It can be seen that under the load conditions, both EEMS and improved EEMS can effectively control energy distribution, and can effectively compensate for the peak power of the load and increase the instantaneous power of the power supply when the power fluctuation is large. At the same time, the fuel cell can also charge the lithium battery, and the lithium battery can also absorb the excess energy of the system. By comparison, the fuel cell output power fluctuation obtained by the improved EEMS is smaller than that of the EEMS, and the curve is smoother. Figure 8 It can be seen that under the same conditions, the fuel cell hydrogen fuel consumption and lithium battery charge state change during the entire navigation process of the ship under the two strategies of EEMS and improved EEMS. The consumption of hydrogen fuel under EEMS and improved EEMS control strategies are 50.86g and 47.92g respectively.

[0092] For the state of charge of lithium batteries, Fig. 9 It can be seen that after the lithium battery has gone through the entire cycle, the state of charge of the battery can still be maintained within a reasonable range. The improved EEMS improves the utilization rate of the auxiliary power supply and balances the power output of the fuel cell and the lithium battery, so that the entire system can be optimized in terms of energy management and hydrogen fuel consumption. By comparison, it can be seen from the figure that the improved EEMS can maximize the output of the auxiliary power supply and improve the robustness of the system while ensuring the stability of the hybrid system, thereby effectively utilizing the characteristics of the hybrid system to improve the hydrogen fuel economy. Through modeling simulation and comparative analysis, the external energy efficiency maximization strategy based on power decoupling improves the hydrogen fuel utilization rate by 5.78% compared with the external energy efficiency maximization strategy, improves the system hydrogen fuel economy, and enables the fuel cell ship hybrid system to operate efficiently overall. At the same time, compared with the classic PI control strategy and the equivalent optimization strategy, the improved EEMS improves the hydrogen fuel utilization rate by 15.61% and 11.09% respectively.

[0093] According to the structural characteristics of the designed marine fuel cell hybrid power system and the reasonable management of the multi-power source coupling system, the embodiment of the present application improves and optimizes the external energy efficiency maximization strategy, and proposes an external energy efficiency maximization strategy (improved EEMS) based on power decoupling, which is applied to the marine fuel cell hybrid power system. Through simulation verification and comparative analysis, the external energy efficiency maximization strategy based on power decoupling is compared and analyzed with the one before improvement. From the simulation results such as fuel cell output power, lithium battery output power, hydrogen fuel consumption and lithium battery SOC, it can be concluded that the improved external energy efficiency maximization strategy can optimize energy distribution and has stronger robustness to load power changes under typical ship working conditions. The method in the embodiment of the present application improves the hydrogen fuel utilization rate by 5.78% compared with the traditional external energy efficiency maximization strategy. At the same time, it is also compared with the classic PI control strategy and the equivalent hydrogen consumption energy collaborative optimization strategy. The improved EEMS improves the hydrogen fuel utilization rate by 15.61% and 11.09% respectively, which improves the system hydrogen fuel economy and enables the fuel cell ship hybrid power system to operate efficiently as a whole.

[0094] By adopting the above embodiments, the present application can achieve one or more of the following beneficial effects:

[0095] 1. This application improves and optimizes the energy efficiency maximization strategy according to the structural characteristics of the fuel cell hybrid system by adopting the above method, optimizes the power supply power and bus voltage supplied by the fuel cell to the lithium battery, and adjusts the output current and operating voltage of the hybrid system according to the optimized power and optimized bus voltage, thereby improving the energy management efficiency of the fuel cell hybrid equipment.

[0096] 2. By adopting the above method, the voltage adjustment amount of the hybrid system is obtained according to the bus voltage difference and the actual voltage of the lithium battery; according to the voltage adjustment amount, the working voltage of the hybrid system is adjusted to ensure that the entire hybrid system operates at the most appropriate voltage.

[0097] 3. By adopting the above method, a Butterworth low-pass filter is used to decouple the fluctuating first output power, thereby smoothing the fluctuation in the first output power waveform and reducing the sharpness of the waveform, thereby obtaining a low-frequency command power of the fuel cell.

[0098] The present application embodiment provides an energy efficiency optimization device for a hybrid power system based on power coupling, such as Fig.10 The device includes an algorithm optimization unit, a power adjustment unit, a power decoupling unit and an output control unit.

[0099] The algorithm optimization unit is used to process the first residual power of the lithium battery using a preset energy consumption management optimization algorithm to obtain the optimized power and optimized bus voltage of the fuel cell under the first residual power, and the optimized power is the power supply supplied by the fuel cell to the lithium battery.

[0100] The power adjustment unit is used to obtain the first output power of the fuel cell according to the optimized power and the load power of the hybrid power system.

[0101] The power decoupling unit is used to perform power decoupling on the first output power by using a preset low-pass filter to obtain a command power of the fuel cell.

[0102] The output control unit is used to adjust the output current of the hybrid power system according to the command power; and adjust the operating voltage of the hybrid power system according to the optimized bus voltage.

[0103] In one possible implementation, the output control unit is specifically used to obtain a bus voltage difference based on the optimized bus voltage and the preset DC bus voltage; obtain a voltage adjustment amount of the hybrid system based on the bus voltage difference and the actual voltage of the lithium battery; and adjust the operating voltage of the hybrid system based on the voltage adjustment amount.

[0104] In a possible implementation, the algorithm optimization unit specifically includes a power optimization module, a current optimization module, a fuel optimization module, and a voltage optimization module.

[0105] The power optimization module is used to use the first remaining power and the minimum power of the lithium battery as inputs of a preset energy consumption management optimization algorithm to obtain optimized power.

[0106] The current optimization module is used to query the optimized current of the fuel cell under the first residual power corresponding to the optimized power according to the polarization characteristic curve of the fuel cell.

[0107] The fuel optimization module is used to obtain the optimized fuel consumption of the fuel cell under the first residual power according to the optimized current.

[0108] The voltage optimization module is used to obtain the optimized bus voltage according to the optimized power, the optimized current and the optimized fuel consumption.

[0109] In a possible implementation manner, the preset low-pass filter is a Butterworth low-pass filter.

[0110] In a possible implementation, the voltage adjustment amount of the hybrid system is the bus voltage difference plus the actual voltage of the lithium battery minus the preset DC bus voltage.

[0111] In a possible implementation manner, the device further includes a time constant adjustment unit.

[0112] The time constant adjustment unit is used to obtain the real-time bus voltage of the hybrid power system; and adjust the time constant of the preset low-pass filter according to the real-time bus voltage.

[0113] In one possible implementation, the time constant adjustment unit is specifically used to maintain the time constant as the initial time constant when the real-time bus voltage is within a preset bus voltage range; when the real-time bus voltage is outside the preset bus voltage range, correct the filter time constant according to the rate of change of the filter time constant.

[0114] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0115] See also Fig.11 , is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Fig.11 As shown, the electronic device 1100 may include: at least one processor 1101 , at least one network interface 1104 , a user interface 1103 , a memory 1105 , and at least one communication bus 1102 .

[0116] The communication bus 1102 is used to realize the connection and communication between these components.

[0117] The user interface 1103 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 1103 may also include a standard wired interface and a wireless interface.

[0118] The network interface 1104 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0119] Among them, the processor 1101 may include one or more processing cores. The processor 1101 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 1105, and calling data stored in the memory 1105. Optionally, the processor 1101 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 1101 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU), and a modem. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; and the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 1101, but may be implemented separately through a chip.

[0120] Among them, the memory 1105 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 1105 includes a non-transitory computer-readable storage medium. The memory 1105 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 1105 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 1105 may also be optionally at least one storage device located away from the aforementioned processor 1101. As Fig.11 As shown, the memory 1105 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program for energy efficiency optimization.

[0121] exist Fig.11In the electronic device 1100 shown, the user interface 1103 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 1101 can be used to call the application for energy efficiency optimization stored in the memory 1105. When executed by one or more processors, the electronic device 1100 executes one or more methods described in the above embodiments.

[0122] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0123] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0124] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as 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 service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0125] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0126] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0127] 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 memory. Based on this understanding, the technical solution of the present application, 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, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0128] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, it will be easy for those skilled in the art to think of other embodiments of the present disclosure. This application is intended to cover any variation, use or adaptive change of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure.

Claims

1. An energy efficiency optimization method based on power coupling, characterized in that: The method is applied to a hybrid power system, wherein the hybrid power system includes a lithium battery and a fuel cell, and the method includes: Using a preset energy consumption management optimization algorithm to process a first residual power of the lithium battery, to obtain an optimized power and an optimized bus voltage of the fuel cell under the first residual power, wherein the optimized power is the power supplied by the fuel cell to the lithium battery; Obtaining a first output power of the fuel cell according to the optimized power and the load power of the hybrid power system; Using a preset low-pass filter to perform power decoupling on the first output power to obtain a command power of the fuel cell; adjusting the output current of the hybrid power system according to the command power; adjusting the operating voltage of the hybrid power system according to the optimized bus voltage; The adopting a preset energy consumption management optimization algorithm to process the first remaining power of the lithium battery to obtain the optimized power and the optimized bus voltage under the first remaining power specifically includes: The first remaining power and the minimum power of the lithium battery are used as inputs of a preset energy consumption management optimization algorithm to obtain the optimized power; according to the fuel cell polarization characteristic curve, the optimized current of the fuel cell under the first remaining power corresponding to the optimized power is queried; according to the optimized current, the optimized fuel consumption of the fuel cell under the first remaining power is obtained; according to the optimized power, the optimized current and the optimized fuel consumption, the optimized bus voltage is obtained; The optimization process is defined as: Find the optimal solution; x=[P fc (1),P fc (2),P fc (3),……P fc (n)]; Among them, P fc (n) is the fuel cell power at the nth sampling point; The formula constraints are as follows (k = 1, 2, 3...n): y (k+1) ≤(SOC0-SOC min )V battr Q; y (k+1) =y (k) +(P load (k)-P fc (k))ΔT; Among them, SOC0 is the first remaining power, that is, the initial value of the remaining power of the lithium battery, SOC min is the minimum value of lithium battery, P load is the load power; The boundary conditions are as follows: P fc_min ≤P fc ≤P fc_max ; Where n is the number of samples, ΔT is the duration of the load curve, and y (k) is the battery energy after k samples, P fc_min is the minimum value of fuel cell power, P fc_max is the maximum value of the fuel circuit power, and H is the total fuel cell energy required for the entire load curve; Calculate the optimal power x of the fuel cell opt , the optimal fuel cell current is obtained from the lookup table derived from the fuel cell polarization curve And the optimal fuel consumption is calculated as follows: Where N is the number of fuel cells and F is the Faraday constant in C / mol.

2. The method according to claim 1, characterized in that The step of adjusting the operating voltage of the hybrid power system according to the optimized bus voltage specifically includes: Obtaining a bus voltage difference according to the optimized bus voltage and the preset DC bus voltage; Obtaining a voltage adjustment amount of the hybrid power system according to the bus voltage difference and the actual voltage of the lithium battery; The operating voltage of the hybrid power system is adjusted according to the voltage adjustment amount.

3. The method according to claim 1, characterized in that The preset low-pass filter is a Butterworth low-pass filter.

4. According to the method of claim 2, the voltage adjustment amount of the hybrid power system is the bus voltage difference plus the actual voltage of the lithium battery minus the preset DC bus voltage.

5. The method according to claim 1, characterized in that The method further comprises: Get the real-time bus voltage of the hybrid system; The time constant of the preset low-pass filter is adjusted according to the real-time bus voltage.

6. The method according to claim 5, characterized in that The step of adjusting the time constant of the preset low-pass filter according to the real-time bus voltage specifically includes: When the real-time bus voltage is within a preset bus voltage range, maintaining the time constant as an initial time constant; When the real-time bus voltage is outside the preset bus voltage range, the filter time constant is corrected according to the change rate of the filter time constant.

7. An energy efficiency optimization device for a hybrid power system based on power coupling, characterized in that: The device includes an algorithm optimization unit, a power adjustment unit, a power decoupling unit and an output control unit; The algorithm optimization unit is used to process the first residual power of the lithium battery using a preset energy consumption management optimization algorithm to obtain the optimized power and optimized bus voltage of the fuel cell under the first residual power, wherein the optimized power is the power supplied by the fuel cell to the lithium battery; The adopting a preset energy consumption management optimization algorithm to process the first remaining power of the lithium battery to obtain the optimized power and the optimized bus voltage under the first remaining power specifically includes: The first remaining power and the minimum power of the lithium battery are used as inputs of a preset energy consumption management optimization algorithm to obtain the optimized power; according to the fuel cell polarization characteristic curve, the optimized current of the fuel cell under the first remaining power corresponding to the optimized power is queried; according to the optimized current, the optimized fuel consumption of the fuel cell under the first remaining power is obtained; according to the optimized power, the optimized current and the optimized fuel consumption, the optimized bus voltage is obtained; The optimization process is defined as: Find the optimal solution; x=[P fc (1),P fc (2),P fc (3),……P fc (n)]; Among them, P fc (n) is the fuel cell power at the nth sampling point; The formula constraints are as follows (k = 1, 2, 3...n): y (k+1) ≤(SOC0-SOC min )V battr Q; y (k+1) =y (k) +(P load (k)-P fc (k))ΔT; Among them, SOC0 is the first remaining power, that is, the initial value of the remaining power of the lithium battery, SOC min is the minimum value of lithium battery, P load is the load power; The boundary conditions are as follows: P fc_in ≤P fc ≤P fc_max ; Where n is the number of samples, ΔT is the duration of the load curve, and y (k) is the battery energy after k samples, P fc_min is the minimum value of fuel cell power, P fc_max is the maximum value of the fuel circuit power, and H is the total fuel cell energy required for the entire load curve; Calculate the optimal power x of the fuel cell opt , the optimal fuel cell current is obtained from the lookup table derived from the fuel cell polarization curve And the optimal fuel consumption is calculated as follows: Where N is the number of fuel cells, F is the Faraday constant, in C / mol; The power adjustment unit is used to obtain a first output power of the fuel cell according to the optimized power and the load power of the hybrid power system; The power decoupling unit is used to perform power decoupling on the first output power by using a preset low-pass filter to obtain a command power of the fuel cell; The output control unit is used to adjust the output current of the hybrid power system according to the command power; and to adjust the operating voltage of the hybrid power system according to the optimized bus voltage.

8. An electronic device, characterized in that: It includes a processor, a user interface, a network interface and a memory, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 6 is executed.

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