Automobile multi-source energy power self-adaptive regulation method and system based on extreme value search

Abstract

The application discloses a kind of based on extreme value search's automobile multi-source energy power self-adapting regulation method and system, its method includes: setting the power constraint interval of automobile's power generation unit and battery power constraint interval;Based on preset search step, the power generation unit target power interval corresponding to target efficiency is searched in the power generation unit power constraint interval;Search is carried out in the power generation unit target power interval based on dynamic search step, and the optimal power of power generation unit is obtained;According to the total power required by the automobile and the optimal power of the power generation unit, the optimal power of battery in the battery power constraint interval is obtained.Based on the above data processing procedure, under the premise of ensuring the power safety constraint of power generation unit and battery, the adaptive mode takes into account the fast convergence, accurate optimization and steady-state low oscillation of power distribution.

Description

Technical Field

[0001] This invention relates to the field of vehicle energy management technology, and in particular to a method and system for adaptive adjustment of multi-source energy power in automobiles based on extreme value search. Background Technology

[0002] In the energy management of hybrid or multi-energy vehicles, how to allocate the power of the generator unit and the battery in real time has always been a key challenge in improving system efficiency. Existing technologies typically have the following shortcomings: Traditional rule-based or offline-optimal control strategies are highly dependent on the model of the controlled object. When the efficiency characteristics of the system drift due to aging, wear and tear, or environmental changes, fixed strategies are difficult to maintain optimality.

[0003] When using model-free optimization methods such as extreme value search, if the search step size is fixed, a step size that is too large will cause violent oscillations around the optimal power point, resulting in the loss of steady-state energy; a step size that is too small will result in slow convergence speed, which will not be able to keep up with the rapid changes in the power demand of the vehicle.

[0004] Meanwhile, existing extreme value searches typically do not consider or have difficulty effectively handling the power physical constraints of power generation units and batteries. During the search process, excessive power values ​​may be detected, triggering overcharging, over-discharging, or power overshoot, which could endanger component safety and lifespan. Summary of the Invention

[0005] This invention provides a method and system for adaptive adjustment of multi-source power in automobiles based on extreme value search, aiming to solve the problem that existing multi-source power allocation strategies for automobiles are difficult to balance rapid convergence and low steady-state oscillation during the extreme value search process while ensuring safety constraints.

[0006] Firstly, a method for adaptive adjustment of multi-source energy power in automobiles based on extreme value search is provided, including: Set the power constraint range for the vehicle's generator unit and the power constraint range for the battery; Based on a preset search step size, the target power range of the power generation unit corresponding to the target efficiency is obtained by searching within the power constraint range of the power generation unit. The optimal power of the power generation unit is obtained by searching within the target power range of the power generation unit based on the dynamic search step size. Based on the total power required by the vehicle and the optimal power of the power generation unit, the optimal battery power within the battery power constraint range is obtained.

[0007] In some embodiments, the step of searching for the target power range of the power generation unit corresponding to the target efficiency within the power constraint range of the power generation unit based on a preset search step size includes: Based on a preset search step size, an interval search is performed within the power constraint range of the power generation unit to obtain multiple power points of the power generation unit. Based on the total power required by the vehicle, the corresponding battery power point of each power generation unit within the battery power constraint range is obtained. The power generation unit operating efficiency at the power point of the power generation unit and the battery charging and discharging efficiency at the power point of the battery are obtained. Based on the power point of the power generation unit, the working efficiency of the power generation unit, the power point of the battery, and the charge and discharge efficiency of the battery, the total efficiency corresponding to the power point of each power generation unit is obtained; The power point range corresponding to the power point of the power generation unit with the maximum total efficiency is expanded to obtain the target power range of the power generation unit.

[0008] In some embodiments, the method for obtaining the total efficiency corresponding to the power point of each power generation unit based on the power point of the power generation unit, the operating efficiency of the power generation unit, the power point of the battery, and the charge / discharge efficiency of the battery is shown in the following formula: ; In the formula, This represents the overall efficiency corresponding to the power point of the power generation unit. It is the sum of the power point of the power generation unit and the power point of the battery; The power point of the power generation unit; This is the battery power point; To improve the working efficiency of the power generation unit; This refers to the battery's charging and discharging efficiency.

[0009] In some embodiments, the step of searching within the target power range of the power generation unit based on a dynamic search step size to obtain the optimal power of the power generation unit includes: The power generation unit performs an interval search within the target power range based on a dynamic search step size. If the difference between the power of two adjacent power generation units is less than or equal to the convergence threshold, then the power of the power generation unit is confirmed as the optimal power of the power generation unit.

[0010] In some embodiments, the dynamic search step size is as follows: ; In the formula, This is the current dynamically adjusted actual search step size; This represents the maximum search step size. These are adaptive coefficients.

[0011] In some embodiments, the method for obtaining the adaptive coefficient includes: If the difference in the working efficiency of the power generation units corresponding to the power of two adjacent power generation units found in the search is greater than the efficiency threshold, then the adaptive coefficient is set to 1. If the difference in operating efficiency between two adjacent power generation units is less than or equal to the efficiency threshold, the resulting adaptive coefficient is shown in the following formula: ; In the formula, The difference in power output between two adjacent power generation units is the difference in the operating efficiency of the power generation units. This is the efficiency threshold.

[0012] In some embodiments, the sum of the optimal power of the power generation unit and the optimal power of the battery equals the total power required by the vehicle.

[0013] Secondly, a multi-source energy power adaptive adjustment system for automobiles based on extreme value search is provided, including: The constraint module is used to set the power constraint range of the vehicle's generator unit and the power constraint range of the battery; The first search module is communicatively connected to the constraint module and is used to search within the power constraint range of the power generation unit based on a preset search step size to obtain the target power range of the power generation unit corresponding to the target efficiency. The second search module, communicatively connected to the first search module, is used to search within the target power range of the power generation unit based on a dynamic search step size to obtain the optimal power of the power generation unit; and, The optimal module, which is connected in communication with the second search module, is used to obtain the optimal battery power within the battery power constraint range based on the total power required by the vehicle and the optimal power of the power generation unit.

[0014] Thirdly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the above-described method for adaptive adjustment of multi-source energy power in automobiles based on extreme value search.

[0015] Fourthly, embodiments of the present invention provide an electronic device, including a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor. When the processor executes the computer program, it implements the adaptive adjustment method for multi-source energy power of an automobile based on extreme value search as described above.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. By adopting a combination of globally preset search step size and dynamic search step size, the problem of traditional algorithms easily getting trapped in local optima is solved, while controlling the overall computational load.

[0017] 2. Abandoning fixed step size, the search step size is automatically adjusted according to the vehicle's energy operating status, providing a rapid response when operating conditions change suddenly and precise fine-tuning when operating in a steady state.

[0018] 3. The simple formula of this invention decouples the power of the two energy sources, eliminates mutual power interference, and makes the system operation more stable.

[0019] 4. This invention does not require building a complex system model, does not rely on the device's factory parameters, is adaptable to scenarios such as battery aging and temperature changes, is simple to calculate, and is compatible with vehicle controllers. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating an adaptive adjustment method for multi-source energy power in automobiles based on extreme value search, according to the present invention. Figure 2 This is a schematic diagram of the structure of an adaptive adjustment subsystem for multi-source energy power of an automobile based on extreme value search according to the present invention. Detailed Implementation

[0021] Referring now to specific embodiments of the invention, examples of which are illustrated in the accompanying drawings. Although the invention will be described in conjunction with specific embodiments, it will be understood that it is not intended to limit the invention to the described embodiments. Rather, it is intended to cover variations, modifications, and equivalents included within the spirit and scope of the invention as defined by the appended claims. It should be noted that the method steps described herein can be implemented by any functional block or functional arrangement, and any functional block or functional arrangement can be implemented as a physical entity or a logical entity, or a combination of both.

[0022] To enable those skilled in the art to better understand the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0023] Note: The examples described below are merely specific examples and are not intended to limit the embodiments of the present invention to the specific steps, values, conditions, data, order, etc. Those skilled in the art can utilize the concept of the present invention to construct more embodiments not mentioned herein by reading this specification.

[0024] Please see Figure 1 This invention provides a method for adaptive adjustment of multi-source energy power in automobiles based on extreme value search. The method includes: Step S100: Set the power constraint range of the vehicle's power generation unit and the power constraint range of the battery; Specifically, in this embodiment of the invention, by limiting the upper and lower limits of power to prevent equipment damage, the power constraint range of the power generation unit and the power constraint range of the battery are set as follows: ; In the formula, 、 These represent the minimum and maximum battery power. 、 These represent the minimum and maximum power outputs of the power generation unit.

[0025] Optimization objective: To maximize the overall efficiency of the vehicle's entire energy system within the constraints set above.

[0026] Step S200, based on a preset search step size, searches within the power constraint range of the power generation unit to obtain the target power range of the power generation unit corresponding to the target efficiency, including: Step S210: Based on a preset search step size, perform an interval search within the power constraint range of the power generation unit to obtain multiple power points of the power generation unit; Specifically, the power generation is gradually adjusted using a preset search step size, traversing the entire power constraint range of the power generation unit. The specific search traversal is as follows:

[0027] In the formula, Let K be the power point of the power generation unit in the k-th search. The power point of the generating unit in the (k-1)th search; This is the preset search step size, which is a fixed value.

[0028] Step S220: Obtain the battery power point corresponding to the power point of each power generation unit within the battery power constraint range based on the total power required by the vehicle; Specifically, the power balance rule is defined as follows: the power of the generator unit plus the battery power equals the total power required by the vehicle. Therefore, the battery power point corresponding to the power point of each generator unit within the battery power constraint range can be obtained according to the power balance rule.

[0029] Step S230: Obtain the power generation unit working efficiency at the power point of the power generation unit and the battery charging and discharging efficiency at the power point of the battery. Specifically, based on the power point of the power generation unit The operating efficiency of the power generation unit can be obtained by referring to the MAP table. Simultaneously, based on the battery power point The battery charge / discharge efficiency can be obtained by referring to the MAP table. .

[0030] It should be noted that the MAP (Power-Efficiency Mapping) data table is calibrated and generated by the vehicle manufacturer during the development phase, pre-installed in the controller, and comes with the vehicle at the factory. The data in the table is fixed and cannot be automatically corrected. Power is on the horizontal axis, temperature on the vertical axis, and efficiency is obtained by referring to the MAP table.

[0031] Step S240: The method for obtaining the total efficiency corresponding to the power point of each power generation unit based on the power point of the power generation unit, the operating efficiency of the power generation unit, the power point of the battery, and the charge / discharge efficiency of the battery is shown in the following formula: ; In the formula, This represents the overall efficiency corresponding to the power point of the power generation unit. It is the sum of the power point of the power generation unit and the power point of the battery; The power point of the power generation unit; This is the battery power point; To improve the working efficiency of the power generation unit; This refers to the battery's charge and discharge efficiency.

[0032] Step S250: Expand the power point range of the power generation unit corresponding to the maximum total efficiency to obtain the target power range of the power generation unit.

[0033] Specifically, by continuously changing the power point of the power generation unit The overall efficiency corresponding to the power point of the power generation unit can be calculated. Compare all overall efficiencies , The power point range is expanded for the power point corresponding to the power unit with the largest value.

[0034] Since the optimal power of a power generation unit is theoretically a single point, the large step size of the global coarse search mentioned above means that only intermittent sampling is possible, making it difficult to precisely capture that optimal value. Therefore, the continuous sampling region close to the maximum overall efficiency is divided into an interval to ensure that the true optimal point falls within the interval. Subsequently, a fine-grained search for the precise optimal operating point is performed within this smaller interval.

[0035] Step S300, based on the dynamic search step size, searches within the target power range of the power generation unit to obtain the optimal power of the power generation unit, including: The power generation unit performs an interval search within the target power range based on a dynamic search step size. The dynamic search step size is shown in the following formula: ; In the formula, This is the current dynamically adjusted actual search step size; This represents the maximum search step size. The adaptive coefficient (values ​​from 0 to 1, the closer to the optimal value, the better). The smaller).

[0036] The method for obtaining the adaptive coefficient includes: If the difference in the working efficiency of the power generation units corresponding to the power of two adjacent power generation units found in the search is greater than the efficiency threshold, then the adaptive coefficient is set to 1. If the difference in operating efficiency between two adjacent power generation units is less than or equal to the efficiency threshold, the resulting adaptive coefficient is shown in the following formula: ; In the formula, The difference in power output between two adjacent power generation units is the difference in the operating efficiency of the power generation units. This is the efficiency threshold.

[0037] If the difference between the power of two adjacent power generation units is less than or equal to the convergence threshold, then the power of the power generation unit is confirmed as the optimal power of the power generation unit.

[0038] Therefore, when the difference in the working efficiency of the power generation units corresponding to the power of two adjacent power generation units found in the search is large, the adaptive coefficient... As the value increases, a large-step, fast search is performed. If the difference in the power output of two adjacent power generation units decreases, the adaptive coefficient... It keeps getting smaller, and the search step size keeps shrinking.

[0039] Step S400: Based on the total power required by the vehicle and the optimal power of the power generation unit, the optimal battery power within the battery power constraint range is obtained. This also utilizes the power balance rule, that is, the power of the power generation unit plus the battery power equals the total power required by the vehicle.

[0040] See also Figure 2 As shown in the figure, an embodiment of the present invention provides an adaptive adjustment system for automotive multi-source energy power based on extreme value search, comprising: The constraint module is used to set the power constraint range of the vehicle's generator unit and the power constraint range of the battery; The first search module is communicatively connected to the constraint module and is used to search within the power constraint range of the power generation unit based on a preset search step size to obtain the target power range of the power generation unit corresponding to the target efficiency. The second search module, communicatively connected to the first search module, is used to search within the target power range of the power generation unit based on a dynamic search step size to obtain the optimal power of the power generation unit; and, The optimal module, which is connected in communication with the second search module, is used to obtain the optimal battery power within the battery power constraint range based on the total power required by the vehicle and the optimal power of the power generation unit.

[0041] Specifically, this embodiment corresponds one-to-one with the above method embodiments. The functions of each module have been described in detail in the corresponding method embodiments, so they will not be repeated here.

[0042] In summary, the beneficial effects of the present invention are as follows: 1. By adopting a combination of globally preset search step size and dynamic search step size, the problem of traditional algorithms easily getting trapped in local optima is solved, while controlling the overall computational load.

[0043] 2. Abandoning fixed step size, the search step size is automatically adjusted according to the vehicle's energy operating status, providing a rapid response when operating conditions change suddenly and precise fine-tuning when operating in a steady state.

[0044] 3. The simple formula of this invention decouples the power of the two energy sources, eliminates mutual power interference, and makes the system operation more stable.

[0045] 4. This invention does not require building a complex system model, does not rely on the device's factory parameters, is adaptable to scenarios such as battery aging and temperature changes, is simple to calculate, and is compatible with vehicle controllers.

[0046] Based on the same inventive concept, embodiments of this application also provide a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements all or part of the method steps of the above method.

[0047] The present invention can implement all or part of the processes in the above methods, or it can be accomplished by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content contained in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0048] Based on the same inventive concept, embodiments of this application also provide an electronic device, including a memory and a processor. The memory stores a computer program that runs on the processor. When the processor executes the computer program, it implements all or part of the method steps described above.

[0049] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the computer device, connecting all parts of the computer device through various interfaces and lines.

[0050] Memory can be used to store computer programs and / or modules. The processor performs various functions of the computer device by running or executing the computer programs and / or modules stored in the memory, and by accessing data stored in the memory. Memory can primarily include a program storage area and a data storage area. The program storage area can store the operating system and application programs required for at least one function (e.g., sound playback, image playback, etc.); the data storage area can store data created based on mobile usage (e.g., audio data, video data, etc.). Furthermore, memory can include high-speed random access memory, and can also include non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart media cards (SMC), secure digital cards (SD cards), flash cards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

[0051] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, servers, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0052] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), servers, and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0053] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0054] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0055] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for adaptive adjustment of multi-source energy power in automobiles based on extreme value search, characterized in that, include: Set the power constraint range for the vehicle's generator unit and the power constraint range for the battery; Based on a preset search step size, the target power range of the power generation unit corresponding to the target efficiency is obtained by searching within the power constraint range of the power generation unit. The optimal power of the power generation unit is obtained by searching within the target power range of the power generation unit based on the dynamic search step size. Based on the total power required by the vehicle and the optimal power of the power generation unit, the optimal battery power within the battery power constraint range is obtained.

2. The adaptive adjustment method for multi-source energy power of a vehicle based on extreme value search as described in claim 1, characterized in that, The step of searching within the power constraint range of the power generation unit based on a preset search step size to obtain the target power range of the power generation unit corresponding to the target efficiency includes: Based on a preset search step size, an interval search is performed within the power constraint range of the power generation unit to obtain multiple power points of the power generation unit. Based on the total power required by the vehicle, the corresponding battery power point of each power generation unit within the battery power constraint range is obtained. The power generation unit operating efficiency at the power point of the power generation unit and the battery charging and discharging efficiency at the power point of the battery are obtained. Based on the power point of the power generation unit, the working efficiency of the power generation unit, the power point of the battery, and the charge and discharge efficiency of the battery, the total efficiency corresponding to the power point of each power generation unit is obtained; The power point range corresponding to the power point of the power generation unit with the maximum total efficiency is expanded to obtain the target power range of the power generation unit.

3. The adaptive adjustment method for multi-source energy power of a vehicle based on extreme value search as described in claim 2, characterized in that, The method for obtaining the total efficiency corresponding to the power point of each power generation unit based on the power point of the power generation unit, the operating efficiency of the power generation unit, the power point of the battery, and the charge / discharge efficiency of the battery is shown in the following formula: ； In the formula, This represents the overall efficiency corresponding to the power point of the power generation unit. It is the sum of the power point of the power generation unit and the power point of the battery; The power point of the power generation unit; This is the battery power point; To improve the working efficiency of the power generation unit; This refers to the battery's charge and discharge efficiency.

4. The adaptive adjustment method for multi-source energy power of a vehicle based on extreme value search as described in claim 1, characterized in that, The process of searching within the target power range of the power generation unit based on a dynamic search step size to obtain the optimal power of the power generation unit includes: The power generation unit performs an interval search within the target power range based on a dynamic search step size. If the difference between the power of two adjacent power generation units is less than or equal to the convergence threshold, then the power of the power generation unit is confirmed as the optimal power of the power generation unit.

5. The adaptive adjustment method for multi-source energy power of a vehicle based on extreme value search as described in claim 4, characterized in that, The dynamic search step size is shown in the following formula: ； In the formula, This is the current dynamically adjusted actual search step size; This represents the maximum search step size. These are adaptive coefficients.

6. The adaptive adjustment method for multi-source energy power of a vehicle based on extreme value search as described in claim 5, characterized in that, The method for obtaining the adaptive coefficient includes: If the difference in the working efficiency of the power generation units corresponding to the power of two adjacent power generation units found in the search is greater than the efficiency threshold, then the adaptive coefficient is set to 1. If the difference in operating efficiency between two adjacent power generation units is less than or equal to the efficiency threshold, the resulting adaptive coefficient is shown in the following formula: ； In the formula, The difference in power output between two adjacent power generation units is the difference in the operating efficiency of the power generation units. This is the efficiency threshold.

7. The adaptive adjustment method for multi-source energy power of a vehicle based on extreme value search as described in claim 1, characterized in that, The sum of the optimal power of the power generation unit and the optimal power of the battery equals the total power required by the vehicle.

8. A multi-source energy power adaptive adjustment system for automobiles based on extreme value search, characterized in that, include: The constraint module is used to set the power constraint range of the vehicle's generator unit and the power constraint range of the battery; The first search module is communicatively connected to the constraint module and is used to search within the power constraint range of the power generation unit based on a preset search step size to obtain the target power range of the power generation unit corresponding to the target efficiency. The second search module, communicatively connected to the first search module, is used to search within the target power range of the power generation unit based on a dynamic search step size to obtain the optimal power of the power generation unit; and, The optimal module, which is connected in communication with the second search module, is used to obtain the optimal battery power within the battery power constraint range based on the total power required by the vehicle and the optimal power of the power generation unit.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the adaptive adjustment method for multi-source energy power of a vehicle based on extreme value search as described in any one of claims 1 to 7.

10. An electronic device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, characterized in that, When the processor runs the computer program, it implements the adaptive adjustment method for multi-source energy power of a vehicle based on extreme value search as described in any one of claims 1 to 7.

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