A hybrid loader range extension control method, device and medium

Abstract

This application discloses a hybrid loader range extension control method, device, and medium, wherein the method includes: the range extension controller receives a vehicle signal from the vehicle controller, a battery signal from the battery management system, and a fuel level signal from the engine controller; obtains the driver's expected driving information through an interactive device; the expected driving information includes at least mileage, work intensity, work time, auxiliary function category, and auxiliary function activation time; and determines the first expected fuel requirement of the hybrid loader based on the vehicle signal, battery signal, fuel level signal, and expected driving information. This solves the problem of the hybrid loader being unable to charge in time and having insufficient fuel due to the influence of electrical equipment. By intelligently connecting the engine's fuel system with the loader's electric system, the device's intelligence is improved.

Description

Technical Field

[0001] The present application relates to the field of hybrid loaders, and in particular to a hybrid loader range extension control method, device, and medium. Background Art

[0002] With the development of technology in my country, the use of electric construction machinery has become increasingly prevalent. However, due to limitations in electrical equipment, electric loaders often encounter problems with timely charging, which impacts their operation. This has led to the emergence of hybrid loaders. The Rex Control Unit (RCU) allows electric loaders to be powered by the fuel system, successfully resolving the issue of insufficient battery power affecting operation.

[0003] However, when the hybrid loader needs to travel long distances and work for long periods of time, the amount of stored power and oil can only be judged based on the driver's experience, which has a low accuracy rate. Once the oil and power levels cannot support the hybrid loader to complete the work, the work progress will be greatly delayed. Summary of the Invention

[0004] To solve the above problems, the present application proposes a method for an extended-range control system for a hybrid loader, the extended-range control system comprising: a range extender controller, a vehicle controller, a battery management system, an engine controller, a generator controller, an engine, a generator, a battery pack, and an interaction device; the range extender controller is connected to the vehicle controller, the battery management system, the engine controller, the generator controller, and the interaction device; the engine controller is connected to the engine, the generator controller is connected to the generator and the battery management system, and the engine is connected to the generator; the battery management system is connected to the battery pack; the method comprises: the range extender controller receiving a vehicle signal from the vehicle controller, a battery signal from the battery management system, and a fuel level signal from the engine controller; obtaining the driver's expected driving information through the interaction device; the expected driving information including at least mileage, work intensity, work time, auxiliary function category, and auxiliary function activation time; and determining a first expected fuel requirement of the hybrid loader based on the vehicle signal, the battery signal, the fuel level signal, and the expected driving information.

[0005] In one example, determining the first expected fuel requirement of the hybrid loader based on the vehicle signal, the battery signal, the fuel level signal, and the expected driving information specifically includes: determining the total power consumption of the expected operation based on the expected driving information; determining the expected conversion power based on the total power consumption and the battery signal; obtaining the historical conversion efficiency of the hybrid loader, and determining the first expected fuel requirement based on the historical conversion efficiency and the fuel level signal.

[0006] In one example, the first expected fuel requirement of the hybrid loader is determined based on the vehicle signal, the battery signal, the fuel level signal, and the expected driving information, specifically by the following formula: ;in, is the first expected oil demand, is the mileage, The power required per kilometer for the hybrid loader; is the intensity of work; For homework time; The power consumption per unit time corresponding to the enabled auxiliary function category; Enable time for accessibility features; The current power of the hybrid loader; The historical conversion efficiency for hybrid loaders; The current oil level.

[0007] In one example, the interaction device includes at least a speech recognition device; obtaining the driver's expected driving information through the interaction device specifically includes: extracting speech keywords from the driving information through the speech recognition device; the speech keywords include at least preset quantifiers; and converting the speech keywords into the expected driving information.

[0008] In one example, after determining the first expected fuel requirement of the hybrid loader, the method further includes: obtaining intermediate position information of an energy replenishment point, the energy replenishment point including at least one of a charging station and a gas station; determining a second expected fuel requirement based on the intermediate position information and the first expected fuel requirement; and presenting the first expected fuel requirement and the second expected fuel requirement to the driver through the interactive device, so that the driver can select a target route based on the first expected fuel requirement and the second expected fuel requirement.

[0009] In one example, determining the second expected fuel requirement based on the intermediate position information and the first expected fuel requirement specifically includes: obtaining the current position information and the target position information of the hybrid loader; generating an intermediate path including the current position information, the intermediate position information and the target position information, and determining the first section mileage and the second section mileage based on the intermediate path; determining the third expected fuel requirement of the hybrid loader for traveling from the current position to the target position based on the first section mileage; determining the fourth expected fuel requirement of the hybrid loader for traveling from the current position to the target position based on the second section mileage; and determining the second expected fuel requirement based on the third expected fuel requirement and the fourth expected fuel requirement.

[0010] In one example, after determining the first expected fuel requirement of the hybrid loader, the method further includes: determining, through the battery management system, that the power level of the hybrid loader is lower than a preset threshold; determining, through the vehicle controller, that there is no safety fault in the hybrid loader; and driving the generator to charge the battery pack through the engine controller and the generator controller.

[0011] In one example, driving the generator to charge the battery pack specifically includes: collecting current information generated by the generator operation through the generator controller; determining whether the current information exceeds a preset current threshold, and if not, storing the current in the battery pack.

[0012] The present application also provides a hybrid loader range extension control device, which is applied to the range extension control system of the hybrid loader, the range extension control system includes: a range extension controller, a vehicle controller, a battery management system, an engine controller, a generator controller, an engine, a generator, a battery pack, and an interactive device; the range extension controller is connected to the vehicle controller, the battery management system, the engine controller, the generator controller and the interactive device; the engine controller is connected to the engine, the generator controller is connected to the generator and the battery management system, and the engine is connected to the generator; the battery management system is connected to the battery pack; the device includes: at least one processor; and, connected to the at least one processor. a memory communicatively connected to a processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute: the range extender controller receives a vehicle signal from the vehicle controller, a battery signal from the battery management system, and a fuel level signal from the engine controller; obtains the driver's expected driving information through the interactive device; the expected driving information includes at least mileage, work intensity, work time, auxiliary function category, and auxiliary function activation time; and determines a first expected fuel requirement of the hybrid loader based on the vehicle signal, the battery signal, the fuel level signal, and the expected driving information.

[0013] The present application also provides a non-volatile computer storage medium storing computer-executable instructions, characterized in that it is applied to a range-extended control system for a hybrid loader, the range-extended control system comprising: a range-extended controller, a vehicle controller, a battery management system, an engine controller, a generator controller, an engine, a generator, a battery pack, and an interaction device; the range-extended controller is connected to the vehicle controller, the battery management system, the engine controller, the generator controller, and the interaction device; the engine controller is connected to the engine, the generator controller is connected to the generator and the battery management system, and the engine is connected to the generator; the battery management system is connected to the battery pack; the computer-executable instructions are configured such that: the range-extended controller receives a vehicle signal from the vehicle controller, a battery signal from the battery management system, and a fuel level signal from the engine controller; obtains the driver's expected driving information through the interaction device; the expected driving information includes at least mileage, work intensity, work time, auxiliary function category, and auxiliary function activation time; and determines a first expected fuel requirement of the hybrid loader based on the vehicle signal, the battery signal, the fuel level signal, and the expected driving information.

[0014] This application addresses the issue of hybrid loader range extension control systems, which can be affected by power equipment, resulting in delayed charging and insufficient fuel. By intelligently connecting the engine's fuel system with the loader's electric system, the system is more intelligent. By generating the hybrid loader's expected fuel requirements, it prevents energy depletion during operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0016] Figure 1 This is a flow chart of a hybrid loader range extension control method according to an embodiment of the present application;

[0017] Figure 2 This is a structural schematic diagram of a hybrid loader range extension control device in an embodiment of the present application. DETAILED DESCRIPTION

[0018] To make the purpose, technical solutions, and advantages of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the specific embodiments of this application and the corresponding drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0019] The following describes in detail the technical solutions provided by various embodiments of the present application in conjunction with the accompanying drawings.

[0020] like Figure 1As shown, in order to solve the above problems, an embodiment of the present application provides a hybrid loader range extension control method, which is applied to the range extension control system of the hybrid loader, wherein the range extension control system includes: a range extension controller, a vehicle controller, a battery management system, an engine controller, a generator controller, an engine, a generator, a battery pack, and an interactive device; the range extension controller is connected to the vehicle controller, the battery management system, the engine controller, the generator controller, and the interactive device; the engine controller is connected to the engine, the generator controller is connected to the generator and the battery management system, and the engine is connected to the generator; the battery management system is connected to the battery pack. The range extension controller obtains relevant information from the vehicle controller and the battery management system through the CAN bus, performs analysis and calculations, and controls the engine and generator to charge the battery, thereby achieving vehicle control and energy optimization control. It has complete fault diagnosis and processing functions to improve the energy utilization efficiency of the vehicle and ensure energy conservation and emission reduction. The vehicle controller is used to detect the vehicle control system, including cab safety signals, air pump, heater, air conditioner, auxiliary power supply signals, drive motor, pump motor signals, sensor signals, throttle signals, and switch signals. Cabin safety signals include those indicating the driver is properly seated, seatbelt fastened, parking brake engaged, neutral, zero speed, and steering. Sensor signals include water temperature, oil temperature, oil pressure, air pressure, motor temperature, and controller temperature. Signals provided by the battery management system include battery voltage, cell voltage, insulation, temperature, and charging signals.

[0021] like Figure 1 As shown, the method includes:

[0022] S101: The range extender controller receives a vehicle signal from the vehicle controller, a battery signal from the battery management system, and a fuel level signal from the engine controller.

[0023] First, the range extender controller receives vehicle signals from the vehicle controller, battery signals from the battery management system, and fuel level signals from the engine controller. The battery signal here mainly refers to the remaining power in the battery pack, and the fuel level signal refers to the remaining fuel level.

[0024] S102: Acquire the driver's expected driving information through the interactive device; the expected driving information at least includes mileage, work intensity, work time, auxiliary function category and auxiliary function activation time.

[0025] The range extender controller obtains the driver's expected driving information through the interactive device. The expected driving information here refers to the distance the driver intends to drive the hybrid loader and the work to be performed. Therefore, the expected driving information at least includes mileage, work intensity, work time, auxiliary function category, and auxiliary function activation time.

[0026] In one embodiment, the interactive device includes at least a speech recognition device. When obtaining the driver's expected driving information through the interactive device, the speech recognition device can extract speech keywords from the driver's voice information. The speech keywords here include at least preset quantifiers. For example, if the driver says to the speech interactive device, "I expect to drive seven miles, and there's a barrel of oil in the car," then "seven miles" and "a barrel of oil" are speech keywords. The speech recognition device should compare them with preset quantifiers, such as "a barrel of oil means 20 liters of oil," to obtain the expected driving information.

[0027] S103: Determine a first expected fuel requirement of the hybrid loader according to the vehicle signal, the battery signal, the fuel level signal, and the expected driving information.

[0028] After obtaining the hybrid loader's current battery and fuel levels and determining the driver's expected driving information, the hybrid loader's first expected fuel requirement can be determined based on the vehicle signal, battery signal, fuel level signal, and the expected driving information. It should be noted that if the vehicle signal indicates a safety issue, the first expected fuel requirement is not calculated, and the driver will be informed of the safety issue.

[0029] In one embodiment, the first expected fuel requirement of the hybrid loader is determined based on the vehicle signal, battery signal, fuel level signal, and expected driving information. First, the total power consumption of the expected operation can be determined based on the expected driving information, that is, how much power the loader battery pack needs to contain if it relies entirely on electricity for energy supply. Then, based on the total power consumption and the battery signal, the expected conversion power is determined, that is, the required power minus the current battery power. Then, the historical conversion efficiency of the hybrid loader is obtained, and the first expected fuel requirement is determined based on the historical conversion efficiency and the fuel level signal. The historical conversion efficiency here refers to the fuel-to-electricity conversion ratio of the hybrid loader.

[0030] Furthermore, the first expected oil requirement can be determined by the following formula:

[0031]

[0032] in, is the first expected oil demand, is the mileage, The power required per kilometer for the hybrid loader; is the intensity of work; For homework time; The power consumption per unit time corresponding to the enabled auxiliary function category; Enable time for accessibility features; The current power of the hybrid loader; The historical conversion efficiency for hybrid loaders; The current oil level.

[0033] In one embodiment, when a hybrid loader is out on a mission, it may encounter an energy replenishment point on the driving route where it can replenish electricity or fuel. In this case, it does not need to carry excess fuel or store a large amount of electricity, and it can be replenished at any time. Therefore, the range extender controller can also obtain the intermediate position information of the energy replenishment point, where the energy replenishment point includes at least one of a charging station and a gas station, and then determine the second expected fuel requirement based on the intermediate position information and the first expected fuel requirement. The second expected fuel requirement here refers to the amount of fuel that the hybrid loader needs to prepare from the current position to the energy replenishment point, and from the energy replenishment point to the target position if the driver selects a route that includes an energy replenishment point. The first expected fuel requirement and the second expected fuel requirement are presented to the driver through an interactive device so that the driver can select a target route based on the first expected fuel requirement and the second expected fuel requirement.

[0034] Furthermore, when determining the second expected fuel requirement, the current position information and target position information of the hybrid loader must first be obtained, and then an intermediate path containing the current position information, intermediate position information, and target position information is generated. The intermediate path here refers to a moving path that includes three position points: the current position, the intermediate position, and the target position. The first section mileage and the second section mileage are determined based on the intermediate path. The first section mileage here refers to the distance from the current position to the intermediate position, and the second section mileage refers to the distance from the intermediate position to the target position. Based on the first section mileage, the third expected fuel requirement of the hybrid loader from the current position to the target position is determined. Based on the second section mileage, the fourth expected fuel requirement of the hybrid loader from the current position to the target position is determined. The third and fourth expected fuel requirements are added together to determine the second expected fuel requirement. When determining the third and fourth expected fuel requirements, they can be determined according to the method for determining the first expected fuel requirement.

[0035] In one embodiment, after determining the first expected fuel requirement of the hybrid loader, if the battery management system detects that the hybrid loader's battery level is below a preset threshold, i.e., the battery level is low, then when charging the hybrid loader with fuel, the vehicle controller must first confirm that the hybrid loader has no safety faults. The engine controller and generator controller will then drive the generator to charge the battery pack.

[0036] Furthermore, when the generator is driven to charge the battery pack, it is necessary to collect the current information generated by the generator through the generator controller, and store the current in the battery pack after the current and voltage meet the requirements.

[0037] like Figure 2 As shown, the embodiment of the present application further provides a traffic status determination device, including:

[0038] at least one processor; and,

[0039] a memory communicatively connected to the at least one processor; wherein,

[0040] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the traffic state determination device to perform:

[0041] The range extender controller receives a vehicle signal from the vehicle controller, a battery signal from the battery management system, and an oil level signal from the engine controller;

[0042] Acquiring the driver's expected driving information through the interactive device; the expected driving information at least includes mileage, work intensity, work time, auxiliary function type, and auxiliary function activation time;

[0043] A first expected fuel requirement of the hybrid loader is determined according to the vehicle signal, the battery signal, the fuel level signal, and the expected driving information.

[0044] The embodiment of the present application further provides a non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to:

[0045] The range extender controller receives a vehicle signal from the vehicle controller, a battery signal from the battery management system, and an oil level signal from the engine controller;

[0046] Acquiring the driver's expected driving information through the interactive device; the expected driving information at least includes mileage, work intensity, work time, auxiliary function type, and auxiliary function activation time;

[0047] A first expected fuel requirement of the hybrid loader is determined according to the vehicle signal, the battery signal, the fuel level signal, and the expected driving information.

[0048] The various embodiments in this application are described in a progressive manner. Similar portions between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the device and medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simple. For relevant portions, refer to the descriptions of the method embodiments.

[0049] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects to their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0050] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0051] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0052] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0053] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0054] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0055] Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0056] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can be implemented using any method or technology to store information. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change RAM (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media such as modulated data signals and carrier waves.

[0057] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0058] The foregoing is merely 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 changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. A hybrid loader range extension control method, characterized in that: An extended-range control system for a hybrid loader includes: a range extender controller, a vehicle controller, a battery management system, an engine controller, a generator controller, an engine, a generator, a battery pack, and an interactive device; the range extender controller is connected to the vehicle controller, the battery management system, the engine controller, the generator controller, and the interactive device; the engine controller is connected to the engine, the generator controller is connected to the generator and the battery management system, and the engine is connected to the generator; the battery management system is connected to the battery pack; and the method includes: The range extender controller receives a vehicle signal from the vehicle controller, a battery signal from the battery management system, and an oil level signal from the engine controller; Acquiring the driver's expected driving information through the interactive device; the expected driving information at least includes mileage, work intensity, work time, auxiliary function type, and auxiliary function activation time; determining a first expected fuel requirement of the hybrid loader according to the vehicle signal, the battery signal, the fuel level signal, and the expected driving information; After determining the first expected oil requirement of the hybrid loader, the method further includes: Obtaining intermediate location information of an energy replenishment point, wherein the energy replenishment point includes at least one of a charging station and a gas station; determining a second expected fuel requirement based on the intermediate position information and the first expected fuel requirement; The first expected fuel requirement and the second expected fuel requirement are presented to the driver through the interactive device, so that the driver can select a target route according to the first expected fuel requirement and the second expected fuel requirement.

2. The method according to claim 1, characterized in that The determining, based on the vehicle signal, the battery signal, the fuel level signal, and the expected driving information, of a first expected fuel requirement of the hybrid loader specifically includes: determining a total power consumption for an expected operation based on the expected driving information; determining an expected conversion amount of power based on the total power consumption and the battery signal; A historical conversion efficiency of the hybrid loader is obtained, and the first expected required oil quantity is determined according to the historical conversion efficiency and the oil quantity signal.

3. The method according to claim 2, characterized in that The first expected fuel requirement of the hybrid loader is determined based on the vehicle signal, the battery signal, the fuel level signal, and the expected driving information, specifically by the following formula: in, is the first expected oil demand, is the mileage, The power required per kilometer for the hybrid loader; is the intensity of work; For homework time; The power consumption per unit time corresponding to the enabled auxiliary function category; Enable time for accessibility features; The current power of the hybrid loader; The historical conversion efficiency for hybrid loaders; The current oil level.

4. The method according to claim 1, wherein The interaction device at least includes a speech recognition device; Acquiring the driver's expected driving information through the interactive device, specifically including: Extracting speech keywords from the driving information through the speech recognition device; the speech keywords at least include preset quantifiers; The voice keywords are converted into the expected driving information.

5. The method according to claim 1, characterized in that The determining of the second expected fuel requirement based on the intermediate position information and the first expected fuel requirement specifically includes: Obtaining current position information and target position information of the hybrid loader; generating an intermediate route including the current position information, the intermediate position information, and the target position information, and determining the mileage of a first section and the mileage of a second section according to the intermediate route; determining a third expected fuel requirement for the hybrid loader to travel from a current position to a target position based on the mileage of the first road section; determining, based on the mileage of the second road section, a fourth expected fuel requirement for the hybrid loader to travel from the current position to the target position; The second expected fuel requirement is determined according to the third expected fuel requirement and the fourth expected fuel requirement.

6. The method according to claim 1, characterized in that After determining the first expected oil requirement of the hybrid loader, the method further includes: Determining, through the battery management system, that the power level of the hybrid loader is lower than a preset threshold; Determining, by the vehicle controller, that the hybrid loader has no safety faults; The generator is driven by the engine controller and the generator controller to charge the battery pack.

7. The method according to claim 6, characterized in that Driving the generator to charge the battery pack specifically includes: collecting, through the generator controller, current information generated by the operation of the generator; It is determined whether the current information exceeds a preset current threshold; if not, the current is stored in the battery pack.

8. A hybrid loader range extension control device, characterized in that: An extended-range control system for a hybrid loader includes: a range extender controller, a vehicle controller, a battery management system, an engine controller, a generator controller, an engine, a generator, a battery pack, and an interactive device; the range extender controller is connected to the vehicle controller, the battery management system, the engine controller, the generator controller, and the interactive device; the engine controller is connected to the engine, the generator controller is connected to the generator and the battery management system, and the engine is connected to the generator; the battery management system is connected to the battery pack; the device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the steps of the method according to any one of claims 1 to 7.

9. A non-volatile computer storage medium storing computer executable instructions, characterized in that: An extended-range control system applied to a hybrid loader, the extended-range control system comprising: a range extender controller, a vehicle controller, a battery management system, an engine controller, a generator controller, an engine, a generator, a battery pack, and an interactive device; the range extender controller is connected to the vehicle controller, the battery management system, the engine controller, the generator controller, and the interactive device; the engine controller is connected to the engine, the generator controller is connected to the generator and the battery management system, and the engine is connected to the generator; the battery management system is connected to the battery pack; the computer-executable instructions are configured to execute the steps of the method as described in any one of claims 1 to 7.

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