Range-extending type automobile power generation optimization method and related equipment

Abstract

The invention belongs to the technical field of energy management of extended-range automobiles, and discloses an extended-range automobile power generation optimization method and related equipment, and the method comprises the steps: determining the power consumption of a vehicle on driving road sections with different congestion levels; according to the power consumption required by the vehicle for driving on the driving road sections with different congestion levels, dynamically adjusting the percentage of the remaining electric quantity required to be kept on the driving road sections with different congestion levels; and controlling the range extender to generate power according to the percentage of the remaining electric quantity required to be kept on the driving road sections with different congestion levels. The invention aims to optimize the working mode of the range extender, reduce the energy consumption and improve the efficiency of the whole vehicle.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy management of extended-range vehicles, and in particular relates to a method for optimizing power generation of extended-range vehicles and related equipment. Background Art

[0002] As a form of hybrid vehicle, the extended-range vehicle combines the advantages of traditional fuel engines and electric motors, and improves the energy efficiency and performance of the vehicle by optimizing energy distribution. The core lies in the efficient power management strategy, which is crucial to ensure that the extended-range vehicle can maintain sufficient power output under various driving conditions and maximize energy conservation.

[0003] Existing extended-range vehicles usually use a fixed SOC (State of Charge, i.e., the remaining battery percentage) target value to manage power, that is, the range extender is started for charging when the SOC reaches a preset threshold. However, the energy-saving effect of this method is limited because the power generation efficiency of the range extender varies significantly under different operating conditions. For example, under high-temperature, low-speed urban conditions, the power generation efficiency of the range extender is extremely low, but existing technologies will still force the range extender to start when the SOC drops to the threshold, resulting in energy waste and deterioration of NVH (noise, vibration and harshness) performance. Under high-speed conditions, the range extender is more efficient, but existing strategies fail to fully utilize efficient power generation scenarios. Summary of the invention

[0004] In view of the problems existing in the prior art, the present invention provides a method for optimizing power generation of an extended-range vehicle and related equipment, the purpose of which is to optimize the working mode of the range extender, reduce energy consumption and improve the efficiency of the entire vehicle.

[0005] In order to solve the above technical problems, the present invention is implemented by the following technical solutions: According to a first aspect of the present invention, there is provided a method for optimizing power generation of an extended-range vehicle, comprising: Determine the power consumption required for a vehicle to travel on roads with different congestion levels; Dynamically adjust the percentage of remaining power required to be maintained on roads with different congestion levels according to the power consumption required for the vehicle to travel on roads with different congestion levels; The range extender is controlled to generate electricity based on the percentage of remaining power that needs to be maintained on roads with different congestion levels.

[0006] In a possible implementation manner of the first aspect, determining the power consumption required for the vehicle to travel on road sections with different congestion levels includes: Using vehicle navigation information to determine vehicle driving road condition information; Determine the maximum speed and average speed of the vehicle on the road sections with different congestion levels according to the vehicle driving road condition information; The maximum speed and average speed of the vehicle on the road sections with different congestion levels are used, combined with the vehicle driving characteristics, to fit the speed change curve under the entire driving condition to reflect the driving status of the vehicle on the road sections with different congestion levels; The vehicle speed variation curve is used in combination with a vehicle power system model to determine the power consumption required for the vehicle to travel on road sections with different congestion levels.

[0007] In a possible implementation manner of the first aspect, the vehicle driving road condition information includes speed limit information, congestion level, temperature, and traffic light distribution information.

[0008] According to a first aspect of the present invention, the method of determining the maximum speed and average speed of a vehicle on a road section with different congestion levels according to the vehicle driving road condition information is provided, specifically: The speed change curve of vehicles on roads with different congestion levels is constructed by integrating speed limit information, congestion level, temperature and traffic light distribution information; The speed variation curves on driving sections with different congestion levels are analyzed to determine the maximum speed and average speed of the vehicle on driving sections with different congestion levels.

[0009] In a possible implementation of the first aspect, the vehicle speed change curve is used in combination with a vehicle power system model to determine the power consumption required for the vehicle to travel on road sections with different congestion levels, specifically: The vehicle powertrain model includes mathematical models of the vehicle's engine, motor, and battery pack; Analyze the vehicle speed change curve and extract the instantaneous speed values ​​in different time periods; The instantaneous speed value is input into the vehicle power system model to simulate the actual running state of the vehicle, and the instantaneous power consumption of the vehicle on the driving sections with different congestion levels is calculated by combining the efficiency curve and energy consumption characteristics of the vehicle power system; The instantaneous power consumption is accumulated to obtain the power consumption required for the vehicle to travel on road sections with different congestion levels.

[0010] In a possible implementation of the first aspect, dynamically adjusting the percentage of remaining power required to be maintained on driving sections with different congestion levels according to the power consumption required for driving on driving sections with different congestion levels includes: When the congestion level of the driving section is higher than the set congestion level, the remaining power percentage to be maintained is reduced within the preset remaining power percentage adjustment range, provided that the power consumption required for the vehicle to drive on the section is met; When the congestion level of the driving section is not higher than the set congestion level, the remaining power percentage that needs to be maintained will be increased within the preset remaining power percentage adjustment range.

[0011] In a possible implementation of the first aspect, controlling the range extender to generate electricity according to the percentage of remaining power that needs to be maintained on driving sections with different congestion levels is specifically: When the vehicle's battery level is lower than the remaining battery percentage that needs to be maintained, the range extender is controlled to generate electricity.

[0012] According to a second aspect of the present invention, there is provided a device for optimizing power generation of an extended-range vehicle, comprising: A determination module, used to determine the power consumption required for a vehicle to travel on a road section with different congestion levels; An adjustment module, for dynamically adjusting the percentage of remaining power required to be maintained on driving sections with different congestion levels according to the power consumption required for the vehicle to travel on driving sections with different congestion levels; The control module is used to control the range extender to generate electricity according to the percentage of remaining power that needs to be maintained on driving sections with different congestion levels.

[0013] In a possible implementation manner of the second aspect, determining the power consumption required for the vehicle to travel on road sections with different congestion levels includes: Using vehicle navigation information to determine vehicle driving road condition information; Determine the maximum speed and average speed of the vehicle on the road sections with different congestion levels according to the vehicle driving road condition information; The maximum speed and average speed of the vehicle on the road sections with different congestion levels are used, combined with the vehicle driving characteristics, to fit the speed change curve under the entire driving condition to reflect the driving status of the vehicle on the road sections with different congestion levels; The vehicle speed variation curve is used in combination with a vehicle power system model to determine the power consumption required for the vehicle to travel on road sections with different congestion levels.

[0014] In a possible implementation manner of the second aspect, the vehicle driving road condition information includes speed limit information, congestion level, temperature, and traffic light distribution information.

[0015] According to a first aspect of the present invention, the method of determining the maximum speed and average speed of a vehicle on a road section with different congestion levels according to the vehicle driving road condition information is provided, specifically: The speed change curve of vehicles on roads with different congestion levels is constructed by integrating speed limit information, congestion level, temperature and traffic light distribution information; The speed variation curves on driving sections with different congestion levels are analyzed to determine the maximum speed and average speed of the vehicle on driving sections with different congestion levels.

[0016] In a possible implementation of the second aspect, the vehicle speed change curve is used in combination with a vehicle power system model to determine the power consumption required for the vehicle to travel on road sections with different congestion levels, specifically: The vehicle powertrain model includes mathematical models of the vehicle's engine, motor, and battery pack; Analyze the vehicle speed change curve and extract the instantaneous speed values ​​in different time periods; The instantaneous speed value is input into the vehicle power system model to simulate the actual running state of the vehicle, and the instantaneous power consumption of the vehicle on the driving sections with different congestion levels is calculated by combining the efficiency curve and energy consumption characteristics of the vehicle power system; The instantaneous power consumption is accumulated to obtain the power consumption required for the vehicle to travel on road sections with different congestion levels.

[0017] In a possible implementation of the second aspect, dynamically adjusting the percentage of remaining power required to be maintained on driving sections with different congestion levels according to the power consumption required for driving on driving sections with different congestion levels includes: When the congestion level of the driving section is higher than the set congestion level, the remaining power percentage to be maintained is reduced within the preset remaining power percentage adjustment range, provided that the power consumption required for the vehicle to drive on the section is met; When the congestion level of the driving section is not higher than the set congestion level, the remaining power percentage that needs to be maintained will be increased within the preset remaining power percentage adjustment range.

[0018] In a possible implementation of the second aspect, controlling the range extender to generate electricity according to the percentage of remaining power that needs to be maintained on driving sections with different congestion levels is specifically: When the vehicle's battery level is lower than the remaining battery percentage that needs to be maintained, the range extender is controlled to generate electricity.

[0019] According to a third aspect of the present invention, there is provided a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for optimizing power generation of an extended-range vehicle when executing the computer program.

[0020] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the method for optimizing power generation of an extended-range vehicle.

[0021] Compared with the prior art, the present invention has at least the following beneficial effects: The present invention provides a method for optimizing power generation of an extended-range vehicle. By dynamically adjusting the percentage of remaining power that needs to be maintained on driving sections with different congestion levels, the start-up time and power generation of the range extender can be reasonably controlled according to the difference in power generation efficiency of the range extender under different working conditions. In congested sections or inefficient power generation scenarios, unnecessary start-ups of the range extender are reduced to avoid energy waste; in efficient power generation scenarios, the high efficiency of the range extender is fully utilized, thereby improving the energy efficiency of the extended-range vehicle as a whole. Since the present invention can dynamically adjust the SOC target value according to real-time road conditions and vehicle needs, the phenomenon of sudden power drop or frequent charging that may be caused by the fixed SOC threshold management in the prior art is avoided, thereby reducing power anxiety during driving and improving driving comfort. : In congested or low-speed conditions, reducing the number and duration of start-ups of the range extender can also help reduce the noise, vibration and harshness (NVH) generated thereby, thereby improving the comfort of the riding environment. In summary, the method for optimizing power generation of an extended-range vehicle provided by the present invention can effectively improve energy efficiency, optimize driving experience, and reduce NVH performance deterioration.

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the specific implementation modes of the present invention, the drawings required for use in the description of the specific implementation modes will be briefly introduced below. Obviously, the drawings described below are some implementation modes of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1 This is a flow chart of a method for optimizing power generation of an extended-range vehicle according to the present invention; Figure 2 This is a structural block diagram of a range-extended vehicle power generation optimization device of the present invention; Figure 3 This is a schematic diagram of a road congestion state according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] Combination Figure 1 As shown, the embodiment of the present invention provides a method for optimizing power generation of an extended-range vehicle, which is mainly to dynamically adjust the remaining power percentage (SOC) target value to adapt to driving sections with different congestion levels, thereby optimizing the energy management strategy and improving energy efficiency and performance. The method specifically includes the following steps: S1. Determine the power consumption required for a vehicle to travel on roads with different congestion levels.

[0027] S2. According to the power consumption required for the vehicle to travel on the road sections with different congestion levels, dynamically adjust the remaining power percentage that needs to be maintained on the road sections with different congestion levels.

[0028] S3. Controlling the range extender to generate electricity according to the percentage of remaining power that needs to be maintained on driving sections with different congestion levels.

[0029] This embodiment dynamically adjusts the SOC target value, significantly reducing the use of the range extender of the extended-range vehicle under inefficient conditions, and the comprehensive fuel consumption can be reduced by 10%-15%. At the same time, it avoids frequent engine starting on low-speed congested roads, effectively improves NVH performance, and enhances driving comfort. In summary, the extended-range vehicle power generation optimization method provided by the present invention significantly improves the energy efficiency and performance of the extended-range vehicle by comprehensively considering the vehicle driving conditions, energy consumption requirements and the power generation efficiency of the range extender.

[0030] In one possible implementation, the determining of the power consumption required for the vehicle to travel on road sections with different congestion levels is specifically as follows: S10: Determine vehicle driving road condition information using vehicle navigation information.

[0031] Specifically, the vehicle navigation system provides real-time traffic information, including road congestion, estimated travel time, traffic light conditions, etc. Vehicle driving road condition information includes speed limit information, congestion level, temperature, and traffic light distribution information.

[0032] Exemplarily, real-time traffic information is provided by a vehicle navigation system or a vehicle networking system.

[0033] S11. Determine the maximum speed and average speed of the vehicle on driving sections with different congestion levels according to the vehicle driving road condition information.

[0034] In one possible implementation, the maximum speed and average speed of a vehicle on driving sections with different congestion levels may be determined as follows: S110, integrating speed limit information, congestion level, temperature and traffic light distribution information to construct a speed change curve of the vehicle on driving sections with different congestion levels.

[0035] Specifically, the speed change curve of the vehicle on the road sections with different congestion levels is constructed by integrating the speed limit information, congestion level, temperature and traffic light distribution information, using statistical methods or machine learning algorithms. This speed change curve can reflect the actual driving state of the vehicle under different road conditions, including acceleration, deceleration, constant speed and stopping and waiting for traffic lights.

[0036] S111. Analyze speed variation curves on driving sections with different congestion levels to determine maximum speeds and average speeds of vehicles on driving sections with different congestion levels.

[0037] In other words, the constructed speed change curve is analyzed to extract the maximum speed and average speed of the vehicle on roads with different congestion levels. These speeds are important parameters for predicting power consumption and directly affect the vehicle's energy consumption level.

[0038] Exemplarily, the congestion levels may be classified into extreme congestion, moderate congestion, light congestion, and no congestion.

[0039] S12. Using the maximum speed and average speed of the vehicle on the driving sections with different congestion levels, combined with the vehicle driving characteristics, a speed change curve under the entire driving condition is fitted to reflect the driving state of the vehicle on the driving sections with different congestion levels.

[0040] S13. Using the vehicle speed change curve in combination with a vehicle power system model, determine the power consumption required for the vehicle to travel on road sections with different congestion levels.

[0041] In one possible implementation, the process of determining the power consumption required for a vehicle to travel on a road section with different congestion levels is as follows: S130, analyzing the constructed speed change curve to extract instantaneous speed values ​​in different time periods.

[0042] The vehicle power system model includes the engine's fuel consumption model, the motor's electric energy consumption model, and the battery pack's charge and discharge efficiency model. The above models can simulate the vehicle's actual operating status under different working conditions, including the engine's operating point, the motor's output power, and the battery pack's charge and discharge efficiency.

[0043] S131, input the instantaneous speed value obtained by the analysis into the vehicle power system model to simulate the actual operation state of the vehicle. Combined with the efficiency curve and energy consumption characteristics of the vehicle power system (such as the fuel consumption rate of the engine, the electric energy conversion efficiency of the motor, and the charging and discharging efficiency of the battery pack), calculate the instantaneous power consumption of the vehicle on the driving sections with different congestion levels.

[0044] S132: Accumulate the calculated instantaneous power consumption to obtain the total power consumption required for the vehicle to travel on road sections with different congestion levels.

[0045] Preferably, the power consumption may also take into account the energy consumption of the air conditioning system, lighting, audio and other auxiliary equipment required for vehicle driving.

[0046] Preferably, since the accuracy of the power consumption estimate for a single vehicle is low due to factors such as weather and real-time road conditions, the cloud function is combined for networking. By using the real-time traffic conditions of other vehicles on the current road section, the power consumption information of this trip can be accurately estimated, and the road condition information (including accidents, road repairs, showers, ramps, etc.) can be quickly updated.

[0047] In one possible implementation, the percentage of remaining power required to be maintained on driving sections with different congestion levels is dynamically adjusted according to the power consumption required for driving on driving sections with different congestion levels, specifically as follows: When the congestion level of the driving section is higher than the set congestion level, the remaining power percentage to be maintained is reduced within the preset remaining power percentage adjustment range, provided that the power consumption required for the vehicle to drive on the section is met; When the congestion level of the driving section is not higher than the set congestion level, the remaining power percentage that needs to be maintained will be increased within the preset remaining power percentage adjustment range.

[0048] That is to say, based on historical data and experience, a congestion level threshold is set to distinguish between sections with high and low congestion levels. This threshold can be adjusted according to actual conditions. A reasonable adjustment range of the remaining power percentage is determined to ensure that the adjustment of SOC neither causes excessive discharge of the battery nor wastes energy. The adjustment range of the remaining power percentage can be set based on factors such as the vehicle's power system characteristics, the capacity of the battery pack, and the user's driving habits.

[0049] When the congestion level of the driving section 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, try not to generate electricity on such sections, so you can appropriately reduce the remaining power percentage that needs to be maintained within the preset remaining power percentage adjustment range. In this way, the range extender can be started as little as possible, which is conducive to reducing energy consumption.

[0050] When the congestion level of the driving section is not higher than the set congestion level, it means that the vehicle will be in a relatively smooth driving state. Under this driving condition, the range extender has high power generation efficiency. Therefore, it is chosen to generate power on this section, so within the preset remaining power percentage adjustment range, the remaining power percentage that needs to be maintained is appropriately increased. In this way, the range extender can start charging at a higher frequency to store electrical energy.

[0051] For example, Figure 3 For route A in the diagram, if the extended-range vehicle power generation optimization method of the present invention is not used, when the SOC is low, the general REV vehicle power maintenance strategy is to maintain the SOC within a range of 10%-20%. The engine's comprehensive power generation efficiency is low, and its NVH performance is poor, and there will be engine roars when driving at low speeds. By using the extended-range vehicle power generation optimization method of the present invention, the SOC balance point (i.e., the percentage of remaining power maintained) can be lowered in section 1, and pure electric operation can be used as much as possible. After entering section 2, the SOC balance point can be increased to reserve for section 3. Similarly, if Figure 3 In route B, the SOC balance point can be increased in section 1 to reserve 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.

[0052] In one possible implementation, the range extender is controlled to generate electricity according to the percentage of remaining power that needs to be maintained on driving sections with different congestion levels, specifically: When the vehicle's battery level is lower than the remaining battery percentage that needs to be maintained, the range extender is controlled to generate electricity.

[0053] It should be noted that when the vehicle's power level is higher than the SOC target value, in some cases, such as when the vehicle is about to enter a highly congested road section and the power consumption is expected to increase significantly, the range extender can be controlled in advance to generate a small amount of power to reserve enough power to cope with the upcoming high energy consumption stage. In most cases, when the vehicle's power level is higher than the SOC target value, the range extender should be controlled to shut down or reduce the output power to avoid unnecessary energy waste.

[0054] It should also be noted that in the process of controlling the range extender's power generation, the range extender's output power should also be intelligently adjusted according to the vehicle's actual driving status and road conditions. For example, when the vehicle is accelerating or climbing a slope, the range extender's output power can be appropriately increased to meet the vehicle's power requirements; while when the vehicle is driving at a constant speed or decelerating, the range extender's output power should be reduced to reduce energy consumption.

[0055] In another embodiment of the present invention, a range-extended vehicle power generation optimization device is provided, which is used to implement a range-extended vehicle power generation optimization method in the above embodiment, and specifically includes a determination module, an adjustment module and a control module, and each module is configured as follows: The determination module is used to determine the power consumption required for the vehicle to travel on road sections with different congestion levels.

[0056] Specifically, the vehicle navigation information is used to determine the vehicle driving road condition information; based on the vehicle driving road condition information, the maximum speed and average speed of the vehicle on driving sections with different congestion levels are determined; the maximum speed and average speed of the vehicle on driving sections with different congestion levels are used, combined with the vehicle driving characteristics, to fit a vehicle speed change curve under the entire driving condition to reflect the driving state of the vehicle on driving sections with different congestion levels; the vehicle speed change curve is used, combined with a vehicle power system model, to determine the power consumption required for the vehicle to travel on driving sections with different congestion levels.

[0057] The adjustment module is used to dynamically adjust the percentage of remaining power that needs to be maintained on driving sections with different congestion levels according to the power consumption required for the vehicle to travel on driving sections with different congestion levels.

[0058] Specifically, when the congestion level of the driving section is higher than the set congestion level, the remaining power percentage that needs to be maintained will be reduced within the preset remaining power percentage adjustment range, while meeting the power consumption required for the vehicle to travel on the section; when the congestion level of the driving section is not higher than the set congestion level, the remaining power percentage that needs to be maintained will be increased within the preset remaining power percentage adjustment range.

[0059] The control module is used to control the range extender to generate electricity according to the percentage of remaining power that needs to be maintained on driving sections with different congestion levels.

[0060] Specifically, when the vehicle power level is lower than the remaining power percentage that needs to be maintained, the range extender is controlled to generate electricity.

[0061] All relevant contents of each step involved in the aforementioned embodiment of a method for optimizing power generation of an extended-range vehicle can be referred to the functional description of a functional module corresponding to a device for optimizing power generation of an extended-range vehicle in an embodiment of the present invention, and will not be repeated here. The division of modules in the embodiment of the present invention is schematic, and is only a logical functional division. There may be other division methods in actual implementation. In addition, each functional module in each embodiment of the present invention may be integrated into a processor, or may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0062] In another embodiment of the present invention, a computer device is provided, the computer device comprising a processor and a memory, the memory being used to store a computer program, the computer program comprising program instructions, and the processor being used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc., which are the computing core and control core of the terminal, which are suitable for implementing one or more instructions, and are specifically suitable for loading and executing one or more instructions in a computer storage medium to implement a corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of a method for optimizing power generation of an extended-range vehicle.

[0063] In another embodiment of the present invention, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in a computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the above-mentioned embodiment of a method for optimizing power generation of an extended-range vehicle.

[0064] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented 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.

[0065] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. 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.

[0066] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate 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 A function specified in one or more boxes.

[0067] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions 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.

[0068] In the present invention, the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" etc. mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the described specific features, structures, materials or characteristics may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0069] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for optimizing power generation of an extended-range vehicle, characterized in that: include: Determine the power consumption required for a vehicle to travel on roads with different congestion levels; Dynamically adjust the percentage of remaining power required to be maintained on roads with different congestion levels according to the power consumption required for the vehicle to travel on roads with different congestion levels; The range extender is controlled to generate electricity based on the percentage of remaining power that needs to be maintained on roads with different congestion levels.

2. The method for optimizing power generation of an extended-range vehicle according to claim 1, characterized in that: The determining of the power consumption required for the vehicle to travel on the road sections with different congestion levels includes: Using vehicle navigation information to determine vehicle driving road condition information; Determine the maximum speed and average speed of the vehicle on the road sections with different congestion levels according to the vehicle driving road condition information; The maximum speed and average speed of the vehicle on the road sections with different congestion levels are used, combined with the vehicle driving characteristics, to fit the speed change curve under the entire driving condition to reflect the driving status of the vehicle on the road sections with different congestion levels; The vehicle speed variation curve is used in combination with a vehicle power system model to determine the power consumption required for the vehicle to travel on road sections with different congestion levels.

3. The method for optimizing power generation of an extended-range vehicle according to claim 2, characterized in that: The vehicle driving road condition information includes speed limit information, congestion level, temperature and traffic light distribution information.

4. The method for optimizing power generation of an extended-range vehicle according to claim 3, characterized in that: The determining of the maximum speed and average speed of the vehicle on the road sections with different congestion levels according to the vehicle driving road condition information is specifically as follows: The speed change curve of vehicles on roads with different congestion levels is constructed by integrating speed limit information, congestion level, temperature and traffic light distribution information; The speed variation curves on driving sections with different congestion levels are analyzed to determine the maximum speed and average speed of the vehicle on driving sections with different congestion levels.

5. The method for optimizing power generation of an extended-range vehicle according to claim 2, characterized in that: The vehicle speed change curve is used in combination with the vehicle power system model to determine the power consumption required for the vehicle to travel on the road sections with different congestion levels, specifically: The vehicle powertrain model includes mathematical models of the vehicle's engine, motor, and battery pack; Analyze the vehicle speed change curve and extract the instantaneous speed values ​​in different time periods; The instantaneous speed value is input into the vehicle power system model to simulate the actual running state of the vehicle, and the instantaneous power consumption of the vehicle on the driving sections with different congestion levels is calculated by combining the efficiency curve and energy consumption characteristics of the vehicle power system; The instantaneous power consumption is accumulated to obtain the power consumption required for the vehicle to travel on road sections with different congestion levels.

6. The method for optimizing power generation of an extended-range vehicle according to claim 1, characterized in that: The method of dynamically adjusting the percentage of remaining power required to be maintained on driving sections with different congestion levels according to the power consumption required for driving on driving sections with different congestion levels includes: When the congestion level of the driving section is higher than the set congestion level, the remaining power percentage to be maintained is reduced within the preset remaining power percentage adjustment range, provided that the power consumption required for the vehicle to drive on the section is met; When the congestion level of the driving section is not higher than the set congestion level, the remaining power percentage that needs to be maintained will be increased within the preset remaining power percentage adjustment range.

7. The method for optimizing power generation of an extended-range vehicle according to claim 1, characterized in that: The range extender is controlled to generate electricity according to the percentage of remaining power that needs to be maintained on the driving sections with different congestion levels, specifically: When the vehicle's battery level is lower than the remaining battery percentage that needs to be maintained, the range extender is controlled to generate electricity.

8. An extended-range vehicle power generation optimization device, characterized in that: include: A determination module, used to determine the power consumption required for a vehicle to travel on a road section with different congestion levels; An adjustment module, for dynamically adjusting the percentage of remaining power required to be maintained on driving sections with different congestion levels according to the power consumption required for the vehicle to travel on driving sections with different congestion levels; The control module is used to control the range extender to generate electricity according to the percentage of remaining power that needs to be maintained on driving sections with different congestion levels.

9. 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, the method for optimizing power generation of an extended-range vehicle as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for optimizing power generation of an extended-range vehicle as described in any one of claims 1 to 7 is implemented.

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