A method for optimizing power generation in range-extended electric vehicles and related equipment

Abstract

This invention belongs to the field of energy management technology for range-extended electric vehicles (REEVs), and discloses a method and related equipment for optimizing power generation in REEVs. The method includes: determining the power consumption required for the vehicle to travel on road segments with different levels of congestion; dynamically adjusting the percentage of remaining power to be maintained on road segments with different levels of congestion based on the power consumption required; and controlling the range extender's power generation based on the percentage of remaining power to be maintained on road segments with different levels of congestion. The purpose of this invention is to optimize the operating mode of the range extender, reduce energy consumption, and improve overall vehicle efficiency.

Description

Technical Field

[0001] This invention belongs to the field of energy management technology for range-extended electric vehicles, specifically relating to a method for optimizing power generation in range-extended electric vehicles and related equipment. Background Technology

[0002] Range-extended electric vehicles (REEVs), a type of hybrid electric vehicle, combine the advantages of traditional internal combustion engines and electric motors, improving vehicle energy efficiency and performance through optimized energy distribution. Their core lies in efficient energy management strategies, which are crucial for ensuring that REEVs maintain sufficient power output while maximizing energy savings under various driving conditions.

[0003] Existing range-extended electric vehicles (REEVs) typically manage battery power using a fixed State of Charge (SOC) target value, meaning the range extender activates to charge when the SOC reaches a preset threshold. However, this method has limited energy-saving effects because the range extender's power generation efficiency varies significantly under different operating conditions. For example, in high-temperature, low-speed urban conditions, the range extender's power generation efficiency is extremely low, but current technology still forces the range extender to activate when the SOC drops to the threshold, leading to energy waste and deterioration of NVH (noise, vibration, and harshness) performance. At high speeds, the range extender is more efficient, but current strategies fail to fully utilize these high-efficiency power generation scenarios. Summary of the Invention

[0004] To address the problems existing in the prior art, this invention provides a method and related equipment for optimizing power generation in range-extended vehicles, with the aim of optimizing the operating mode of the range extender, reducing energy consumption, and improving overall vehicle efficiency.

[0005] To solve the above-mentioned technical problems, the present invention is achieved through the following technical solution:

[0006] According to a first aspect of the present invention, a method for optimizing power generation in a range-extended electric vehicle is provided, comprising:

[0007] Determine the power consumption required for a vehicle to travel on road sections with different levels of congestion;

[0008] Based on the power consumption required for driving on road segments with different levels of congestion, the percentage of remaining power that needs to be maintained on road segments with different levels of congestion is dynamically adjusted.

[0009] The range extender's power generation is controlled based on the percentage of remaining battery power required for driving on road sections with different levels of congestion.

[0010] In one possible implementation of the first aspect, determining the power consumption required for the vehicle to travel on road segments with different levels of congestion includes:

[0011] Use vehicle navigation information to determine road conditions while the vehicle is traveling;

[0012] Based on the vehicle's road condition information, determine the vehicle's maximum speed and average speed on road segments with different levels of congestion.

[0013] By using the vehicle's maximum and average speeds on road sections with different levels of congestion, and combining the vehicle's driving characteristics, a speed change curve under the entire driving condition is fitted to reflect the vehicle's driving status on road sections with different levels of congestion.

[0014] Using the vehicle speed variation curve and the vehicle power system model, the power consumption required for the vehicle to travel on road sections with different levels of congestion can be determined.

[0015] In one possible implementation of the first aspect, the vehicle traffic information includes speed limit information, congestion level, temperature, and traffic light distribution information.

[0016] According to a first aspect of the present invention, determining the maximum speed and average speed of a vehicle on road segments with different levels of congestion based on the vehicle's road condition information specifically includes:

[0017] By combining speed limit information, congestion level, temperature and traffic light distribution information, speed change curves of vehicles on road segments with different congestion levels are constructed.

[0018] The speed change curves on road segments with different levels of congestion are analyzed to determine the maximum and average speed of vehicles on road segments with different levels of congestion.

[0019] In one possible implementation of the first aspect, the determination of the power consumption required for the vehicle to travel on road segments with different levels of congestion, using the vehicle speed change curve in conjunction with the vehicle powertrain model, specifically involves:

[0020] The vehicle powertrain model includes mathematical models of the vehicle's engine, electric motor, and battery pack.

[0021] The vehicle speed change curve is analyzed to extract the instantaneous speed values ​​at different time intervals;

[0022] The instantaneous speed value is input into the vehicle power system model to simulate the actual operating state of the vehicle. Combined with the efficiency curve and energy consumption characteristics of the vehicle power system, the instantaneous power consumption of the vehicle on road sections with different levels of congestion is calculated.

[0023] The instantaneous power consumption is accumulated to obtain the power consumption required for the vehicle to travel on road sections with different levels of congestion.

[0024] In one possible implementation of the first aspect, dynamically adjusting the percentage of remaining battery power to be maintained on driving segments with different congestion levels based on the power consumption required for driving on driving segments with different congestion levels includes:

[0025] When the congestion level of the driving segment is higher than the set congestion level, the remaining battery percentage to be maintained will be reduced within the preset remaining battery percentage adjustment range, while ensuring that the power consumption required for the vehicle to drive on that segment is met.

[0026] When the congestion level of the driving segment is not higher than the set congestion level, the remaining battery percentage to be maintained will be increased within the preset remaining battery percentage adjustment range.

[0027] In one possible implementation of the first aspect, controlling the range extender to generate electricity based on the percentage of remaining battery power required to be maintained on driving segments with different congestion levels specifically involves:

[0028] When the vehicle's battery level falls below the required percentage of remaining charge, the range extender is activated to generate electricity.

[0029] According to a second aspect of the present invention, a range-extended vehicle power generation optimization device is provided, comprising:

[0030] The determination module is used to determine the power consumption required for the vehicle to travel on road sections with different levels of congestion.

[0031] The adjustment module is used to dynamically adjust the percentage of remaining battery power that needs to be maintained on different congestion levels of road segments based on the power consumption required by the vehicle when driving on road segments with different levels of congestion.

[0032] The control module controls the range extender's power generation based on the percentage of remaining battery power required for driving on road segments with different levels of congestion.

[0033] In one possible implementation of the second aspect, determining the power consumption required for the vehicle to travel on road segments with different levels of congestion includes:

[0034] Use vehicle navigation information to determine road conditions while the vehicle is traveling;

[0035] Based on the vehicle's road condition information, determine the vehicle's maximum speed and average speed on road segments with different levels of congestion.

[0036] By using the vehicle's maximum and average speeds on road sections with different levels of congestion, and combining the vehicle's driving characteristics, a speed change curve under the entire driving condition is fitted to reflect the vehicle's driving status on road sections with different levels of congestion.

[0037] Using the vehicle speed variation curve and the vehicle power system model, the power consumption required for the vehicle to travel on road sections with different levels of congestion can be determined.

[0038] In one possible implementation of the second aspect, the vehicle traffic information includes speed limit information, congestion level, temperature, and traffic light distribution information.

[0039] According to a first aspect of the present invention, determining the maximum speed and average speed of a vehicle on road segments with different levels of congestion based on the vehicle's road condition information specifically includes:

[0040] By combining speed limit information, congestion level, temperature and traffic light distribution information, speed change curves of vehicles on road segments with different congestion levels are constructed.

[0041] The speed change curves on road segments with different levels of congestion are analyzed to determine the maximum and average speed of vehicles on road segments with different levels of congestion.

[0042] In one possible implementation of the second aspect, the method of using the vehicle speed change curve in conjunction with the vehicle powertrain model to determine the power consumption required for the vehicle to travel on road segments with different levels of congestion specifically involves:

[0043] The vehicle powertrain model includes mathematical models of the vehicle's engine, electric motor, and battery pack.

[0044] The vehicle speed change curve is analyzed to extract the instantaneous speed values ​​at different time intervals;

[0045] The instantaneous speed value is input into the vehicle power system model to simulate the actual operating state of the vehicle. Combined with the efficiency curve and energy consumption characteristics of the vehicle power system, the instantaneous power consumption of the vehicle on road sections with different levels of congestion is calculated.

[0046] The instantaneous power consumption is accumulated to obtain the power consumption required for the vehicle to travel on road sections with different levels of congestion.

[0047] In one possible implementation of the second aspect, dynamically adjusting the percentage of remaining battery power to be maintained on driving segments with different congestion levels based on the power consumption required for driving on driving segments with different congestion levels includes:

[0048] When the congestion level of the driving segment is higher than the set congestion level, the remaining battery percentage to be maintained will be reduced within the preset remaining battery percentage adjustment range, while ensuring that the power consumption required for the vehicle to drive on that segment is met.

[0049] When the congestion level of the driving segment is not higher than the set congestion level, the required percentage of remaining battery power will be increased within the preset range of remaining battery power percentage adjustment.

[0050] In one possible implementation of the second aspect, controlling the range extender to generate electricity based on the percentage of remaining battery power required to be maintained on driving segments with different congestion levels specifically involves:

[0051] When the vehicle's battery level falls below the required percentage of remaining charge, the range extender is activated to generate electricity.

[0052] According to a third aspect of the present invention, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the aforementioned method for optimizing power generation in a range-extended vehicle.

[0053] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned method for optimizing power generation in a range-extended vehicle.

[0054] Compared with the prior art, the present invention has at least the following beneficial effects:

[0055] This invention provides a method for optimizing power generation in range-extended electric vehicles (REEVs). By dynamically adjusting the percentage of remaining battery power required on driving sections with different levels of congestion, it can rationally control the start-up timing and power generation of the range extender based on the differences in power generation efficiency under different operating conditions. In congested sections or inefficient power generation scenarios, it reduces unnecessary range extender starts, avoiding energy waste; in efficient power generation scenarios, it fully utilizes the high efficiency of the range extender, thereby improving the overall energy efficiency of the REEV. Because this invention can dynamically adjust the SOC target value according to real-time road conditions and vehicle demand, it avoids the sudden drop in battery power or frequent charging that may occur due to fixed SOC threshold management in existing technologies, thus reducing battery anxiety during driving and improving driving comfort. Furthermore, reducing the number and duration of range extender starts in congested or low-speed conditions also helps reduce the resulting noise, vibration, and harshness (NVH), thereby improving the comfort of the passenger environment. In summary, the power generation optimization method for REEVs provided by this invention can effectively improve energy efficiency, optimize the driving experience, and reduce NVH performance degradation.

[0056] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0057] To more clearly illustrate the technical solutions in the specific embodiments of the present invention, the drawings used in the description of the specific embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0058] Figure 1 This is a flowchart of a method for optimizing power generation in a range-extended electric vehicle according to the present invention;

[0059] Figure 2 This is a structural block diagram of a range-extended vehicle power generation optimization device according to the present invention;

[0060] Figure 3 This is a schematic diagram of road congestion in an embodiment of the present invention. Detailed Implementation

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0062] Combination Figure 1 As shown, this invention provides a method for optimizing power generation in range-extended electric vehicles. The main purpose is to dynamically adjust the target value of the remaining percentage of electric charge (SOC) to adapt to driving sections with different levels of congestion, thereby optimizing energy management strategies and improving energy efficiency and performance. The method specifically includes the following steps:

[0063] S1. Determine the power consumption required for the vehicle to travel on road sections with different levels of congestion.

[0064] S2. Based on the power consumption required for driving on road segments with different levels of congestion, dynamically adjust the percentage of remaining power that needs to be maintained on road segments with different levels of congestion.

[0065] S3. Control the range extender to generate electricity based on the percentage of remaining battery power required for driving sections with different levels of congestion.

[0066] This embodiment, by dynamically adjusting the SOC target value, significantly reduces the use of the range extender in inefficient operating conditions, resulting in a 10%-15% reduction in overall fuel consumption. Simultaneously, it avoids frequent engine starts in low-speed, congested traffic, effectively improving NVH performance and enhancing ride comfort. In summary, the range extender power generation optimization method provided by this invention significantly improves the energy efficiency and performance of range extenders by comprehensively considering vehicle driving conditions, energy consumption requirements, and range extender power generation efficiency.

[0067] In one possible implementation, determining the power consumption required for the vehicle to travel on road segments with different levels of congestion is specifically as follows:

[0068] S10. Use vehicle navigation information to determine the vehicle's road conditions.

[0069] Specifically, the vehicle navigation system provides real-time traffic information, including road congestion, estimated travel time, and traffic light status. Vehicle traffic information includes speed limits, congestion levels, temperature, and traffic light distribution.

[0070] For example, real-time traffic information can be provided through vehicle navigation systems or vehicle-to-everything (V2X) systems.

[0071] S11. Based on the vehicle's road condition information, determine the vehicle's maximum speed and average speed on road sections with different levels of congestion.

[0072] In one feasible approach, the maximum and average speeds of vehicles on road segments with different levels of congestion can be determined as follows:

[0073] Based on S110, combined with speed limit information, congestion level, temperature and traffic light distribution information, speed change curves of vehicles on road segments with different congestion levels are constructed.

[0074] Specifically, by integrating speed limit information, congestion level, temperature, and traffic light distribution information, statistical methods or machine learning algorithms are used to construct speed variation curves for vehicles on road segments with different congestion levels. These speed variation curves can reflect the actual driving state of vehicles under different road conditions, including acceleration, deceleration, constant speed, and stopping while waiting at traffic lights.

[0075] S111. Analyze the speed change curves on road segments with different congestion levels to determine the maximum and average speed of vehicles on road segments with different congestion levels.

[0076] In other words, by analyzing the constructed speed change curve, the maximum and average speeds of vehicles on road sections with different levels of congestion are extracted. These speeds are important parameters for predicting power consumption and directly affect the energy consumption level of vehicles.

[0077] For example, congestion levels can be classified as extremely congested, moderately congested, lightly congested, and non-congested.

[0078] S12. By using the vehicle's maximum and average speeds on road sections with different levels of congestion, and combining the vehicle's driving characteristics, a speed change curve is fitted under the entire driving condition to reflect the vehicle's driving status on road sections with different levels of congestion.

[0079] S13. Using the vehicle speed change curve and the vehicle power system model, determine the power consumption required for the vehicle to travel on road sections with different levels of congestion.

[0080] In one feasible approach, the process for determining the power consumption required for a vehicle to travel on road segments with different levels of congestion is as follows:

[0081] S130. Analyze the constructed velocity change curve and extract the instantaneous velocity values ​​for different time periods.

[0082] The vehicle powertrain model includes the engine's fuel consumption model, the electric motor's electrical energy consumption model, and the battery pack's charging and discharging efficiency model. These models can simulate the actual operating state of the vehicle under different working conditions, including the engine's operating point, the electric motor's output power, and the battery pack's charging and discharging efficiency.

[0083] S131. Input the instantaneous speed value obtained from the analysis into the vehicle power system model to simulate the actual operating state of the vehicle. Combining the efficiency curve and energy consumption characteristics of the vehicle power system (such as the fuel consumption rate of the engine, the electrical energy conversion efficiency of the electric motor, and the charging and discharging efficiency of the battery pack), calculate the instantaneous power consumption of the vehicle on road segments with different levels of congestion.

[0084] S132. The calculated instantaneous power consumption is summed to obtain the total power consumption required for the vehicle to travel on road sections with different levels of congestion.

[0085] Preferably, power consumption can also take into account the energy consumption of the air conditioning system, lighting, audio and other auxiliary equipment required for vehicle operation.

[0086] Preferably, since the accuracy of power consumption estimation for a single vehicle is low due to factors such as weather and real-time road conditions, combining cloud-based functions for network connectivity allows for accurate estimation of power consumption information for this trip by utilizing the real-time traffic conditions of other vehicles on the current road segment. At the same time, it can quickly update road condition information (including information on accidents, road repairs, rain showers, and slopes).

[0087] In one possible implementation, the percentage of remaining battery power to be maintained on different congestion levels is dynamically adjusted based on the power consumption required for driving on different congestion levels. Specifically, this can be achieved as follows:

[0088] When the congestion level of the driving segment is higher than the set congestion level, the remaining battery percentage to be maintained will be reduced within the preset remaining battery percentage adjustment range, while ensuring that the power consumption required for the vehicle to drive on that segment is met.

[0089] When the congestion level of the driving segment is not higher than the set congestion level, the required percentage of remaining battery power will be increased within the preset range of remaining battery power percentage adjustment.

[0090] In other words, based on historical data and experience, a congestion level threshold is set to distinguish between high-congestion and low-congestion road sections. This threshold can be adjusted according to actual conditions. A reasonable range for adjusting the remaining battery percentage is determined to ensure that adjusting the State of Charge (SOC) neither leads to over-discharge of the battery nor wastes energy. The remaining battery percentage adjustment range can be set based on factors such as the vehicle's powertrain characteristics, battery pack capacity, and the user's driving habits.

[0091] When the congestion level of the driving segment is higher than the set congestion level, it means that the vehicle will face frequent stops and starts, which reduces the power generation efficiency of the range extender. Therefore, it is best to avoid power generation on such road segments. This can be achieved by appropriately reducing the required percentage of remaining battery power within the preset adjustment range. This way, the range extender can be kept running less frequently, which helps reduce energy consumption.

[0092] When the congestion level of the driving segment is not higher than the set congestion level, it indicates that the vehicle will be in a relatively smooth driving state. Under this driving condition, the range extender's power generation efficiency is high. Therefore, power generation is selected on such road segments, and within the preset remaining power percentage adjustment range, the required remaining power percentage is appropriately increased. In this way, the range extender can perform more frequent start-up charging to store electrical energy.

[0093] For example, such as Figure 3 In Route A, if the range-extended vehicle power generation optimization method of this invention is not used, when the State of Charge (SOC) is low, the general REV vehicle power maintenance strategy is to keep the SOC within a range of 10%-20%. The engine's overall power generation efficiency is low, and NVH performance is poor, with engine noise at low speeds. Using the range-extended vehicle power generation optimization method of this invention, the SOC balance point (i.e., the percentage of remaining power) can be lowered in segment 1, maximizing pure electric operation. Upon entering segment 2, the SOC balance point is raised to prepare for segment 3. Similarly, if... Figure 3In the B line, the SOC balance point can be increased in section 1 to store energy for section 2; the balance point can be lowered in section 2 to reduce engine usage; and the balance point can be restored in section 3 to compensate for the energy loss of the battery in section 2.

[0094] In one feasible approach, the range extender's power generation is controlled based on the percentage of remaining battery power required to be maintained on driving segments with different congestion levels, specifically as follows:

[0095] When the vehicle's battery level falls below the required percentage of remaining charge, the range extender is activated to generate electricity.

[0096] It should be noted that when the vehicle's battery level is higher than the SOC target value, in certain situations, such as when the vehicle is about to enter a heavily congested area and a significant increase in power consumption is expected, the range extender can be controlled to generate a small amount of electricity in advance to reserve enough power to cope with the upcoming high-energy consumption phase. In most cases, when the vehicle's battery level is higher than the SOC target value, the range extender should be shut down or its output power reduced to avoid unnecessary energy waste.

[0097] It should also be noted that during the process of controlling the range extender's power generation, the output power of the range extender should be intelligently adjusted according to the actual driving status of the vehicle and road conditions. For example, when the vehicle is accelerating or climbing a hill, the output power of the range extender can be appropriately increased to meet the vehicle's power demand; while when the vehicle is traveling at a constant speed or decelerating, the output power of the range extender should be reduced to reduce energy consumption.

[0098] In another embodiment of the present invention, a range-extended vehicle power generation optimization device is provided to implement a range-extended vehicle power generation optimization method as described in the above embodiments. Specifically, it includes a determining module, an adjusting module, and a controlling module, each configured as follows:

[0099] The determination module is used to determine the power consumption required for a vehicle to travel on road sections with different levels of congestion.

[0100] Specifically, the vehicle navigation information is used to determine the vehicle's road conditions; based on the road conditions, the vehicle's maximum and average speeds on road segments with different levels of congestion are determined; using the maximum and average speeds on road segments with different levels of congestion, combined with the vehicle's driving characteristics, a speed variation curve is fitted for the entire driving condition to reflect the vehicle's driving status on road segments with different levels of congestion; using the speed variation curve, combined with the vehicle powertrain model, the power consumption required for the vehicle to drive on road segments with different levels of congestion is determined.

[0101] The adjustment module is used to dynamically adjust the percentage of remaining battery power that needs to be maintained on different congestion levels of road segments based on the power consumption required by the vehicle when driving on road segments with different congestion levels.

[0102] Specifically, when the congestion level of the driving segment is higher than the set congestion level, the remaining battery percentage to be maintained will be reduced within a preset range, provided that the power consumption required for the vehicle to drive on that segment is met; when the congestion level of the driving segment is not higher than the set congestion level, the remaining battery percentage to be maintained will be increased within a preset range.

[0103] The control module controls the range extender's power generation based on the percentage of remaining battery power required for driving on road segments with different levels of congestion.

[0104] Specifically, when the vehicle's battery level is lower than the required percentage of remaining battery power, the range extender is controlled to generate electricity.

[0105] All relevant content regarding the steps involved in the aforementioned embodiments of the range-extended vehicle power generation optimization method can be referenced from the functional description of the corresponding functional modules of the range-extended vehicle power generation optimization device in the embodiments of the present invention, and will not be repeated here. The module division in the embodiments of the present invention is illustrative and is merely a logical functional division. In actual implementation, there may be other division methods. Furthermore, the functional modules in the various embodiments of the present invention can be integrated into a processor, exist as separate physical entities, or have two or more modules integrated into one module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0106] In another embodiment of the present invention, a computer device is provided, comprising a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may 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. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to achieve a corresponding method flow or corresponding function. The processor described in this embodiment of the present invention can be used in the operation of a range-extended vehicle power generation optimization method.

[0107] In another embodiment of the present invention, a storage medium is provided, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the operating system of the terminal. Furthermore, the storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the range-extended vehicle power generation optimization method in the above embodiments.

[0108] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, 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, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0109] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), 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 illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0110] 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.

[0111] 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.

[0112] In this invention, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0113] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for optimizing power generation in range-extended electric vehicles, characterized in that, include: Determine the power consumption required for a vehicle to travel on road sections with different levels of congestion; Based on the power consumption required for driving on road segments with different levels of congestion, the system dynamically adjusts the percentage of remaining battery power to be maintained on road segments with different levels of congestion, including: When the congestion level of the driving segment is higher than the set congestion level, the remaining battery percentage to be maintained will be reduced within the preset remaining battery percentage adjustment range, while ensuring that the power consumption required for the vehicle to drive on that segment is met. When the congestion level of the driving segment is not higher than the set congestion level, the remaining battery percentage that needs to be maintained will be increased within the preset remaining battery percentage adjustment range. The range extender's power generation is controlled based on the percentage of remaining battery power required for driving on road sections with different levels of congestion.

2. The method for optimizing power generation in a range-extended electric vehicle according to claim 1, characterized in that, The determination of the power consumption required for a vehicle to travel on road segments with different levels of congestion includes: Use vehicle navigation information to determine road conditions while the vehicle is traveling; Based on the vehicle's road condition information, determine the vehicle's maximum speed and average speed on road sections with different levels of congestion. By using the vehicle's maximum and average speeds on road sections with different levels of congestion, and combining the vehicle's driving characteristics, a speed change curve under the entire driving condition is fitted to reflect the vehicle's driving status on road sections with different levels of congestion. Using the vehicle speed variation curve and the vehicle power system model, the power consumption required for the vehicle to travel on road sections with different levels of congestion can be determined.

3. The method for optimizing power generation in a range-extended electric vehicle according to claim 2, characterized in that, The vehicle traffic information includes speed limit information, congestion level, temperature, and traffic light distribution information.

4. The method for optimizing power generation in a range-extended electric vehicle according to claim 3, characterized in that, The step of determining the vehicle's maximum speed and average speed on road segments with different levels of congestion based on the vehicle's road condition information is as follows: By combining speed limit information, congestion level, temperature and traffic light distribution information, speed change curves of vehicles on road segments with different congestion levels are constructed. The speed change curves on road segments with different levels of congestion are analyzed to determine the maximum and average speed of vehicles on road segments with different levels of congestion.

5. The method for optimizing power generation in a range-extended electric vehicle according to claim 2, characterized in that, The method utilizes the vehicle speed variation curve and the vehicle powertrain model to determine the power consumption required for the vehicle to travel on road sections with different levels of congestion. Specifically: The vehicle powertrain model includes mathematical models of the vehicle's engine, electric motor, and battery pack. The vehicle speed change curve is analyzed to extract the instantaneous speed values ​​at different time intervals; The instantaneous speed value is input into the vehicle power system model to simulate the actual operating state of the vehicle. Combined with the efficiency curve and energy consumption characteristics of the vehicle power system, the instantaneous power consumption of the vehicle on road sections with different levels of congestion is calculated. The instantaneous power consumption is accumulated to obtain the power consumption required for the vehicle to travel on road sections with different levels of congestion.

6. The method for optimizing power generation in a range-extended electric vehicle according to claim 1, characterized in that, The process of controlling the range extender's power generation based on the percentage of remaining battery power required for driving segments with different levels of congestion is as follows: When the vehicle's battery level falls below the required percentage of remaining charge, the range extender is activated to generate electricity.

7. A range-extended vehicle power generation optimization device, characterized in that, include: The determination module is used to determine the power consumption required for the vehicle to travel on road sections with different levels of congestion. The adjustment module dynamically adjusts the percentage of remaining battery power to be maintained on different congestion levels of road segments based on the power consumption required for driving in these segments. This includes: When the congestion level of the driving segment is higher than the set congestion level, the remaining battery percentage to be maintained will be reduced within the preset remaining battery percentage adjustment range, while ensuring that the power consumption required for the vehicle to drive on that segment is met. When the congestion level of the driving segment is not higher than the set congestion level, the remaining battery percentage that needs to be maintained will be increased within the preset remaining battery percentage adjustment range. The control module controls the range extender's power generation based on the percentage of remaining battery power required for driving on road segments with different levels of congestion.

8. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements a range-extended vehicle power generation optimization method as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements a range-extended vehicle power generation optimization method as described in any one of claims 1 to 6.

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