A method, device, system and storage medium for determining fuel-saving vehicle speed

Abstract

The present invention discloses a method, device, system, and storage medium for determining a fuel-saving vehicle speed. The method comprises: obtaining a rolling resistance energy consumption dataset, a wind resistance consumption dataset, a vehicle anti-gravity energy consumption dataset, and a vehicle anti-acceleration energy consumption dataset; each time determining vehicle energy consumption using a first data item in the rolling resistance energy consumption dataset, a second data item in the wind resistance consumption dataset, a third data item in the vehicle anti-gravity energy consumption dataset, and a fourth data item in the vehicle anti-acceleration energy consumption dataset; determining a vehicle energy consumption dataset calculated by permuting and combining all the first data, second data, third data, and fourth data, and determining the minimum vehicle energy consumption from the vehicle energy consumption dataset; determining a fuel-saving vehicle speed on a flat road using the minimum vehicle energy consumption, engine specific fuel consumption, and engine power, and determining a fuel-saving vehicle speed on a slope using the fuel-saving vehicle speed on a flat road.

Description

Technical Field

[0001] Embodiments of the present invention relate to vehicle engineering technology, and more particularly to a method, device, system, and storage medium for determining a fuel-saving vehicle speed. Background Art

[0002] At present, the cruise control function has gradually become a basic function of automatic transmission vehicles. In the cruise control mode, the driver does not need to press the accelerator pedal to maintain the vehicle speed. The vehicle can automatically travel at a fixed speed. When the cruise control function is configured, the driver no longer needs to control the accelerator pedal under long-distance driving conditions, which reduces fatigue and reduces unnecessary speed changes.

[0003] In cruise control mode, if the vehicle speed can be controlled within a range that achieves good fuel economy (i.e., fuel saving), the fuel saving needs of vehicle users can be well met. Currently, drivers usually determine the fuel-saving speed based on experience and set it as the cruise control speed to achieve the purpose of reducing vehicle fuel consumption. However, when the fuel-saving speed determined by the driver is related to the driver's experience and driving level, it usually does not achieve a good fuel saving effect. Summary of the Invention

[0004] The present invention provides a method, device, system and storage medium for determining a fuel-saving vehicle speed, so as to achieve the purpose of accurately determining a vehicle's fuel-saving vehicle speed on a flat road and a fuel-saving vehicle speed on a slope.

[0005] In a first aspect, an embodiment of the present invention provides a method for determining a fuel-saving vehicle speed, comprising:

[0006] Obtaining a rolling resistance energy consumption dataset, a wind resistance consumption dataset, a vehicle anti-gravity energy consumption dataset, and a vehicle anti-acceleration energy consumption dataset;

[0007] Determining vehicle energy consumption by using a first data item in the rolling resistance energy consumption dataset, a second data item in the wind resistance consumption dataset, a third data item in the vehicle anti-gravity energy consumption dataset, and a fourth data item in the vehicle anti-acceleration energy consumption dataset each time;

[0008] Determine a vehicle energy consumption data set obtained by calculating the permutation and combination of all the first data, the second data, the third data, and the fourth data, and determine a minimum vehicle energy consumption based on the vehicle energy consumption data set;

[0009] The minimum vehicle energy consumption, engine specific fuel consumption and engine power are used to determine the fuel-saving speed on a flat road, and the fuel-saving speed on a slope is determined based on the fuel-saving speed on a flat road.

[0010] Optionally, obtaining a rolling resistance energy consumption dataset includes:

[0011] A vehicle gravity dataset, a road rolling coefficient dataset, and a road longitudinal slope dataset are obtained, and the rolling resistance energy consumption dataset is determined through the vehicle gravity dataset, the road rolling coefficient dataset, and the road longitudinal slope dataset.

[0012] Optionally, obtaining a wind resistance consumption dataset includes:

[0013] A vehicle headwind drag coefficient, a vehicle frontal area data set, and a vehicle speed data set are obtained, and the wind resistance consumption data set is determined based on the vehicle headwind drag coefficient, the vehicle frontal area data set, and the vehicle speed data set.

[0014] Optionally, obtaining the vehicle anti-gravity energy consumption dataset includes:

[0015] A whole vehicle gravity dataset and a height difference dataset are obtained, and the vehicle anti-gravity energy consumption dataset is determined through the whole vehicle gravity dataset and the height difference dataset.

[0016] Optionally, obtaining a vehicle anti-acceleration energy consumption dataset includes:

[0017] The rotation coefficient, the vehicle mass, the acceleration data set and the vehicle speed data set are obtained, and the vehicle anti-acceleration energy consumption data set is determined by the rotation coefficient, the vehicle mass, the acceleration data set and the vehicle speed data set.

[0018] Optionally, the fuel-saving speed on a flat road is determined by the following formula:

[0019]

[0020] Where, E min is the minimum vehicle energy consumption, T tq is the engine output torque, n is the engine speed, b is the engine specific fuel consumption, v fs is the fuel-saving speed on flat roads, and p is the engine power.

[0021] Optionally, the slope fuel-saving speed includes an uphill fuel-saving speed and a downhill fuel-saving speed;

[0022] The uphill fuel-saving speed is determined by the following formula:

[0023]

[0024] The downhill fuel-saving speed is determined by the following formula:

[0025]

[0026] Where, v t1 is the fuel-saving speed uphill, v fs is the fuel-saving speed on flat roads, μ1 is the uphill calibration parameter, s1 is the uphill length, θ1 is the uphill angle, and vt2 is the downhill fuel-saving speed, μ2 is the downhill calibration parameter, s2 is the downhill length, θ2 is the downhill angle, and g is the acceleration of gravity.

[0027] In a second aspect, an embodiment of the present invention further provides a fuel-saving vehicle speed determination device, including a fuel-saving vehicle speed determination unit, wherein the fuel-saving vehicle speed determination unit is configured to:

[0028] Obtaining a rolling resistance energy consumption dataset, a wind resistance consumption dataset, a vehicle anti-gravity energy consumption dataset, and a vehicle anti-acceleration energy consumption dataset;

[0029] Determining vehicle energy consumption by using a first data item in the rolling resistance energy consumption dataset, a second data item in the wind resistance consumption dataset, a third data item in the vehicle anti-gravity energy consumption dataset, and a fourth data item in the vehicle anti-acceleration energy consumption dataset each time;

[0030] Determine a vehicle energy consumption data set obtained by calculating the permutation and combination of all the first data, the second data, the third data, and the fourth data, and determine a minimum vehicle energy consumption based on the vehicle energy consumption data set;

[0031] The minimum vehicle energy consumption, engine specific fuel consumption and engine power are used to determine the fuel-saving speed on a flat road, and the fuel-saving speed on a slope is determined based on the fuel-saving speed on a flat road.

[0032] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising at least one processor, and a memory communicatively connected to the at least one processor;

[0033] The memory stores a computer program executable by the at least one processor. The computer program is executed by the at least one processor so that the at least one processor can execute the fuel-saving vehicle speed determination method described in the embodiment of the present invention.

[0034] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the fuel-saving vehicle speed determination method described in the embodiment of the present invention when executed.

[0035] Compared with the prior art, the beneficial effects of the present invention are: the present invention proposes a method for determining a fuel-saving vehicle speed, in which the vehicle energy consumption data set is determined through a rolling resistance energy consumption data set, a wind resistance consumption data set, a vehicle anti-gravity energy consumption data set and a vehicle anti-acceleration energy consumption data set, the minimum vehicle energy consumption is selected from the vehicle energy consumption data set, the flat road fuel-saving vehicle speed is determined through the minimum vehicle energy consumption, the engine specific fuel consumption and the engine power, the slope fuel-saving vehicle speed is determined through the flat road fuel-saving vehicle speed, the minimum energy consumption of the vehicle is determined through four aspects: rolling resistance energy consumption, wind resistance consumption, vehicle anti-gravity energy consumption and vehicle anti-acceleration energy consumption, the accuracy of the determined minimum energy consumption of the vehicle is high, thereby ensuring that the flat road fuel-saving vehicle speed and the slope fuel-saving speed determined through the minimum vehicle energy consumption have high accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 is a flow chart of a method for determining a fuel-saving vehicle speed in an embodiment;

[0037] Figure 2 Schematic diagram of the electronic device structure in the embodiment. DETAILED DESCRIPTION

[0038] The present invention will be further described in detail below with reference to the accompanying drawings and examples. It will be understood that the specific embodiments described herein are intended only to illustrate the present invention and are not intended to limit the present invention. It should also be noted that, for ease of description, the accompanying drawings only illustrate portions relevant to the present invention, not all structures.

[0039] Example 1

[0040] Figure 1 This is a flow chart of the fuel-saving vehicle speed determination method in the embodiment, refer to Figure 1 , the fuel-saving vehicle speed determination method includes:

[0041] S101. Obtain a rolling resistance energy consumption dataset, a wind resistance consumption dataset, a vehicle anti-gravity energy consumption dataset, and a vehicle anti-acceleration energy consumption dataset.

[0042] For example, in this embodiment, the rolling resistance energy consumption dataset, the wind resistance consumption dataset, the vehicle anti-gravity energy consumption dataset, and the vehicle anti-acceleration energy consumption dataset can be determined through calibration tests, or directly using the actual driving condition data of the vehicle;

[0043] Wherein, when the calibration test is used for determination, the calibration conditions at least include all operating conditions that the vehicle may encounter during actual driving.

[0044] Exemplarily, in this embodiment, the rolling resistance energy consumption data set includes several first data items, wherein one first data item can at least be used to reflect the rolling resistance of the vehicle when traveling on a type of road surface;

[0045] The wind resistance consumption data set includes a plurality of second data items, wherein at least one second data item can be used to reflect the wind resistance of the vehicle when it is traveling under a headwind condition;

[0046] The vehicle anti-gravity energy consumption data set includes a plurality of third data items, wherein at least one third data item can be used to reflect the energy consumed by the vehicle to overcome gravity when traveling on a slope road;

[0047] The vehicle anti-acceleration energy consumption data set includes several items of fourth data, wherein one item of fourth data can at least be used to reflect the energy consumed by the vehicle when the vehicle has a certain acceleration.

[0048] S102. Determine vehicle energy consumption each time using a first data item in the rolling resistance energy consumption dataset, a second data item in the wind resistance consumption dataset, a third data item in the vehicle anti-gravity energy consumption dataset, and a fourth data item in the vehicle anti-acceleration energy consumption dataset.

[0049] S103. Determine a vehicle energy consumption data set obtained by calculating through permutation and combination of all the first data, the second data, the third data, and the fourth data, and determine the minimum vehicle energy consumption through the vehicle energy consumption data set.

[0050] Exemplarily, in combination with step S102 and step S103, in this embodiment, all permutations and combinations of the first data, the second data, the third data, and the fourth data are considered, and a vehicle energy consumption item is calculated using one permutation and combination, and then a plurality of vehicle energy consumption items corresponding to all permutations and combinations are determined, and all vehicle energy consumption items are used to form a vehicle energy consumption dataset;

[0051] When calculating a vehicle energy consumption, a first data item, a second data item, a third data item and a fourth data item are obtained, and a vehicle energy consumption calculation is performed using the four data items, and the sum of the four data items is used as a vehicle energy consumption item.

[0052] S104. Determine the fuel-saving speed on a flat road using the minimum vehicle energy consumption, engine specific fuel consumption, and engine power, and determine the fuel-saving speed on a slope using the fuel-saving speed on a flat road.

[0053] Illustratively, in this embodiment, the engine specific fuel consumption and the engine power are known quantities, and the engine specific fuel consumption and the engine power can be determined through calibration tests.

[0054] For example, in this embodiment, the fuel-saving vehicle speed on a flat road can be determined by the following formula:

[0055] V fs =f1(E min ,b,p)

[0056] Where V fs For fuel-saving speed on flat roads, E min is the minimum vehicle energy consumption, b is the engine specific fuel consumption, and p is the engine power.

[0057] For example, in this embodiment, the fuel-saving speed on a hill can be determined by the following formula:

[0058] V ps =f2(V fs ,θ)

[0059] Where V ps For fuel-saving speed on slope, V fs is the fuel-saving speed on a flat road, and θ is the slope of the slope road.

[0060] This embodiment proposes a method for determining a fuel-saving vehicle speed, in which a vehicle energy consumption data set is determined through a rolling resistance energy consumption data set, a wind resistance consumption data set, a vehicle anti-gravity energy consumption data set, and a vehicle anti-acceleration energy consumption data set, the minimum vehicle energy consumption is selected from the vehicle energy consumption data set, the fuel-saving vehicle speed on a flat road is determined through the minimum vehicle energy consumption, the engine specific fuel consumption, and the engine power, the fuel-saving vehicle speed on a hill is determined through the fuel-saving vehicle speed on a flat road, the minimum energy consumption of the vehicle is determined through four aspects: rolling resistance energy consumption, wind resistance consumption, vehicle anti-gravity energy consumption, and vehicle anti-acceleration energy consumption, the accuracy of the determined minimum energy consumption of the vehicle is high, thereby ensuring that the fuel-saving vehicle speed on a flat road and the fuel-saving speed on a hill determined through the minimum vehicle energy consumption have high accuracy.

[0061] As an implementation plan, based on the content recorded in step S101, obtaining the rolling resistance energy consumption dataset includes:

[0062] Obtain a vehicle gravity dataset, a road rolling coefficient dataset, and a road longitudinal slope dataset, and determine a rolling resistance energy consumption dataset through the vehicle gravity dataset, the road rolling coefficient dataset, and the road longitudinal slope dataset.

[0063] For example, in this solution, the vehicle gravity data set, the road rolling coefficient data set, and the road longitudinal slope data set are determined through calibration tests, or directly using the actual driving condition data of the vehicle.

[0064] For example, in this solution, data from the vehicle gravity dataset, the road rolling coefficient dataset, and the road longitudinal slope dataset can be used to determine the corresponding rolling resistance energy consumption data through a fitting function or a neural network. All the rolling resistance energy consumption data used constitute the rolling resistance energy consumption dataset.

[0065] For example, in this solution, the rolling resistance energy consumption data can be determined by the following formula:

[0066]

[0067] Where, E r is the rolling resistance energy consumption data, t is the time, G is the vehicle gravity data, f is the road rolling coefficient data, a is the road longitudinal slope data, v is the vehicle speed in the horizontal direction, and s is the distance.

[0068] As an implementation plan, based on the content recorded in step S101, obtaining the windage consumption dataset includes:

[0069] A vehicle headwind drag coefficient, a vehicle frontal area dataset, and a vehicle speed dataset are obtained, and a wind resistance consumption dataset is determined based on the vehicle headwind drag coefficient, the vehicle frontal area dataset, and the vehicle speed dataset.

[0070] For example, in this solution, the vehicle's headwind drag coefficient is related to the vehicle being tested and is a fixed value. The vehicle's frontal area dataset and vehicle speed dataset are determined through calibration tests, or directly using the vehicle's actual driving condition data.

[0071] For example, in this solution, the vehicle headwind drag coefficient, the vehicle frontal area dataset, and the vehicle speed dataset can be used to determine the corresponding wind resistance consumption data by means of a fitting function or a neural network, and all the wind resistance consumption data used constitutes the wind resistance consumption dataset;

[0072] For example, in this solution, the windage consumption data can be determined by the following formula:

[0073]

[0074] Where, E w is the wind resistance consumption data, C D is the vehicle's headwind resistance coefficient, A is the vehicle's headwind area data, v a is the speed of the vehicle on the slope, v is the speed of the vehicle in the horizontal direction, t is the time, and s is the distance.

[0075] As an implementable method, based on the content recorded in step S101, obtaining the vehicle anti-gravity energy consumption dataset includes:

[0076] Obtain the whole vehicle gravity dataset and height difference dataset, and determine the vehicle anti-gravity energy consumption dataset through the whole vehicle gravity dataset and height difference dataset.

[0077] For example, in this solution, the vehicle gravity dataset and height difference dataset are determined through calibration tests, or the actual driving condition data of the vehicle are directly used.

[0078] For example, in this solution, the whole vehicle gravity data set and the height difference data set are used to determine the corresponding vehicle anti-gravity energy consumption data by fitting functions or neural networks, and all the vehicle anti-gravity energy consumption data used constitute the vehicle anti-gravity energy consumption data set;

[0079] For example, in this solution, the anti-gravity energy consumption data of the vehicle can be determined by the following formula:

[0080]

[0081] Where, E i is the vehicle's anti-gravity energy consumption data, G is the vehicle's gravity data, a is the road's longitudinal slope data, v is the vehicle's horizontal speed, and Δh is the (slope) height difference data.

[0082] As an implementation plan, based on the content recorded in step S101, obtaining the vehicle anti-acceleration energy consumption dataset includes:

[0083] Obtain the rotation coefficient, vehicle mass, acceleration data set and vehicle speed data set, and determine the vehicle anti-acceleration energy consumption data set through the rotation coefficient, vehicle mass, acceleration data set and vehicle speed data set.

[0084] For example, in this solution, the rotation coefficient and vehicle mass are related to the vehicle under test and are fixed values. The acceleration data set and the vehicle speed data set are determined through calibration tests, or directly use the actual driving condition data of the vehicle.

[0085] For example, in this solution, the rotation coefficient, vehicle mass, acceleration data set, and vehicle speed data set are used to determine the corresponding vehicle anti-acceleration energy consumption data through a fitting function or a neural network. All the vehicle anti-acceleration energy consumption data used constitute the vehicle anti-acceleration energy consumption data set.

[0086] For example, in this solution, the vehicle anti-acceleration energy consumption data can be determined by the following formula:

[0087]

[0088] Where, E j is the vehicle's anti-acceleration energy consumption data, δ is the rotation coefficient, m is the vehicle mass, and v is the vehicle's horizontal speed.

[0089] As an implementable method, based on the content recorded in step S104, the fuel-saving speed on a flat road is determined by the following formula:

[0090]

[0091] Where, E min is the minimum vehicle energy consumption, T tqis the engine output torque, n is the engine speed, b is the engine specific fuel consumption, v fs is the fuel-saving speed on flat roads, and p is the engine power.

[0092] As an implementable embodiment, based on the content recorded in step S104, the fuel-saving speed on a slope includes an uphill fuel-saving speed and a downhill fuel-saving speed.

[0093] In this solution, the uphill fuel-saving speed is determined by the following formula:

[0094]

[0095] Where, v t1 is the fuel-saving speed uphill, v fs is the fuel-saving speed on flat roads, μ1 is the uphill calibration parameter, s1 is the uphill length, θ1 is the uphill angle, and g is the acceleration of gravity.

[0096] In this solution, the downhill fuel-saving speed is determined by the following formula:

[0097]

[0098] Where, v t2 is the fuel-saving speed for downhill driving, v fs is the fuel-saving speed on flat roads, μ2 is the downhill calibration parameter, s2 is the downhill length, θ2 is the downhill angle, and g is the acceleration due to gravity.

[0099] For example, in this solution, for slopes with different slopes, a set of uphill fuel-saving speeds and a set of downhill fuel-saving speeds can be determined. The uphill fuel-saving speeds and downhill fuel-saving speeds can be stored in the vehicle controller in the form of a table, so that during actual driving, the vehicle can query the corresponding uphill fuel-saving speed or downhill fuel-saving speed from the table according to the current road conditions.

[0100] For example, in this solution, the vehicle controller may be configured with calculation formulas for the fuel-saving speed on a flat road and the fuel-saving speed on a slope (including the fuel-saving speed on an uphill slope and the fuel-saving speed on a downhill slope). The vehicle controller may be configured to control the vehicle speed in the following manner:

[0101] Obtaining the cruise speed of the cruise control, calculating the fuel-saving speed on a flat road or the fuel-saving speed on a hill based on the road information, and comparing the cruise speed with the fuel-saving speed on a flat road or the fuel-saving speed on a hill;

[0102] If the difference between the cruising speed and the flat road fuel-saving speed is greater than the set threshold, or the difference between the cruising speed and the hill road fuel-saving speed is greater than the set threshold, the cruising speed is selected as the target speed; otherwise, the flat road fuel-saving speed or the hill road fuel-saving speed is selected as the target speed.

[0103] For example, if the vehicle's fuel-efficient speed on flat roads is 60 km / h and the threshold is set to 10 km / h, then on flat roads:

[0104] When the driver sets the cruise speed to 65km / h, the actual cruising speed is the fuel-saving speed of 60km / h on flat roads; when the driver sets the cruise speed to 80km / h, the actual cruising speed is 80km / h.

[0105] When driving on an uphill road, if the fuel-saving speed on a flat road is 60 km / h, the slope of the road ahead is 1%, and the distance to the slope ahead is 100 meters, then the fuel-saving speed on an uphill road is:

[0106]

[0107] When the driver sets the cruise speed to 65km / h, the actual cruising speed is the uphill fuel-saving speed of 62.1km / h; when the driver sets the cruise speed to 80km / h, the actual cruising speed is 80km / h.

[0108] When driving on an uphill road, if the fuel-saving speed on a flat road is 60 km / h, the slope of the road ahead is 1%, and the distance to the slope ahead is 100 meters, the fuel-saving speed of the vehicle is:

[0109]

[0110] When the driver sets the cruise speed to 65km / h, the actual cruising speed is the downhill fuel-saving speed of 57.9km / h; when the driver sets the cruise speed to 80km / h, the actual cruising speed is 80km / h.

[0111] Illustratively, in this embodiment, the methods of obtaining a rolling resistance energy consumption dataset, obtaining a wind resistance consumption dataset, obtaining a vehicle anti-gravity energy consumption dataset, obtaining a vehicle anti-acceleration energy consumption dataset, and determining a fuel-saving vehicle speed on a flat road and a fuel-saving vehicle speed on a slope can be arbitrarily combined in an implementable embodiment.

[0112] For example, in one possible implementation, the fuel-efficient vehicle speed may be determined as follows:

[0113] The rolling resistance energy consumption data is determined by the following formula, and a rolling resistance energy consumption data set is generated using all available rolling resistance energy consumption data:

[0114]

[0115] The wind resistance consumption data is determined by the following formula, and the wind resistance consumption data set is generated using all available wind resistance consumption data:

[0116]

[0117] The vehicle anti-gravity energy consumption data is determined by the following formula, and the vehicle anti-gravity energy consumption dataset is generated using all available vehicle anti-gravity energy consumption data:

[0118]

[0119] The vehicle anti-acceleration energy consumption data is determined using the following formula, and a vehicle anti-acceleration energy consumption dataset is generated using all available vehicle anti-acceleration energy consumption data:

[0120]

[0121] Determine the minimum vehicle energy consumption using the rolling resistance energy consumption dataset, the wind resistance consumption dataset, the vehicle anti-gravity energy consumption dataset, and the vehicle anti-acceleration energy consumption dataset;

[0122] The fuel-efficient speed on level roads is determined by the following formula:

[0123]

[0124] Determine the fuel-efficient uphill speed using the following formula:

[0125]

[0126] Determine the fuel-efficient downhill speed using the following formula:

[0127]

[0128] In this solution, the definitions of the parameters in the formula are the same as the corresponding parameter definitions recorded in the previous solution, and will not be repeated here.

[0129] Example 2

[0130] This embodiment provides a fuel-saving vehicle speed determination device, including a fuel-saving vehicle speed determination unit, which is configured to:

[0131] Obtaining a rolling resistance energy consumption dataset, a wind resistance consumption dataset, a vehicle anti-gravity energy consumption dataset, and a vehicle anti-acceleration energy consumption dataset;

[0132] Determining the vehicle energy consumption each time by using a first data item in the rolling resistance energy consumption data set, a second data item in the wind resistance consumption data set, a third data item in the vehicle anti-gravity energy consumption data set, and a fourth data item in the vehicle anti-acceleration energy consumption data set;

[0133] Determine a vehicle energy consumption data set obtained by calculating the permutation and combination of all the first data, the second data, the third data, and the fourth data, and determine the minimum vehicle energy consumption through the vehicle energy consumption data set;

[0134] The minimum vehicle energy consumption, engine specific fuel consumption and engine power are used to determine the fuel-saving speed on a flat road, and the fuel-saving speed on a slope is determined by the fuel-saving speed on a flat road.

[0135] For example, in this embodiment, any one of the fuel-saving vehicle speed determination methods described in the first embodiment of the fuel-saving vehicle speed determination unit can be specifically configured, and its specific implementation process and beneficial effects are the same as the corresponding contents described in the first embodiment, which will not be repeated here.

[0136] Example 3

[0137] Figure 2 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0138] like Figure 2 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which is communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. Various programs and data required for the operation of the electronic device 10 can also be stored in the RAM 13. The processor 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0139] Multiple components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0140] The processor 11 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any other suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the method for determining a fuel-efficient vehicle speed.

[0141] In some embodiments, the fuel-efficient vehicle speed determination method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the fuel-efficient vehicle speed determination method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to execute the fuel-efficient vehicle speed determination method in any other suitable manner (e.g., via firmware).

[0142] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0143] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0144] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0145] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0146] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0147] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0148] Note that the above are only preferred embodiments of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments, and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments and may include many other equivalent embodiments without departing from the concept of the present invention. The scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for determining fuel-saving vehicle speed, characterized in that: include: Obtaining a rolling resistance energy consumption dataset, a wind resistance consumption dataset, a vehicle anti-gravity energy consumption dataset, and a vehicle anti-acceleration energy consumption dataset; Determining vehicle energy consumption by using a first data item in the rolling resistance energy consumption dataset, a second data item in the wind resistance consumption dataset, a third data item in the vehicle anti-gravity energy consumption dataset, and a fourth data item in the vehicle anti-acceleration energy consumption dataset each time; Determine a vehicle energy consumption data set obtained by calculating the permutation and combination of all the first data, the second data, the third data, and the fourth data, and determine a minimum vehicle energy consumption based on the vehicle energy consumption data set; The minimum vehicle energy consumption, engine specific fuel consumption and engine power are used to determine the fuel-saving vehicle speed on a flat road, and the fuel-saving vehicle speed on a slope is determined based on the fuel-saving vehicle speed on a flat road.

2. The method for determining fuel-saving vehicle speed according to claim 1, wherein: Obtaining the rolling resistance energy consumption dataset includes: A vehicle gravity dataset, a road rolling coefficient dataset, and a road longitudinal slope dataset are obtained, and the rolling resistance energy consumption dataset is determined through the vehicle gravity dataset, the road rolling coefficient dataset, and the road longitudinal slope dataset.

3. The method for determining fuel-saving vehicle speed according to claim 1, wherein: Obtaining the wind resistance consumption dataset includes: A vehicle headwind drag coefficient, a vehicle frontal area data set, and a vehicle speed data set are obtained, and the wind resistance consumption data set is determined based on the vehicle headwind drag coefficient, the vehicle frontal area data set, and the vehicle speed data set.

4. The method for determining fuel-saving vehicle speed according to claim 1, wherein: Obtaining the vehicle anti-gravity energy consumption dataset includes: A whole vehicle gravity dataset and a height difference dataset are obtained, and the vehicle anti-gravity energy consumption dataset is determined through the whole vehicle gravity dataset and the height difference dataset.

5. The method for determining fuel-saving vehicle speed according to claim 1, wherein: Obtaining the vehicle anti-acceleration energy consumption dataset includes: The rotation coefficient, the vehicle mass, the acceleration data set and the vehicle speed data set are obtained, and the vehicle anti-acceleration energy consumption data set is determined by the rotation coefficient, the vehicle mass, the acceleration data set and the vehicle speed data set.

6. The method for determining fuel-saving vehicle speed according to claim 1, wherein: The fuel-saving speed on flat roads is determined by the following formula: Where, E min is the minimum vehicle energy consumption, T tq is the engine output torque, n is the engine speed, b is the engine specific fuel consumption, v fs is the fuel-saving speed on flat roads, and p is the engine power.

7. The method for determining fuel-saving vehicle speed according to claim 1, wherein: The slope fuel-saving speed includes uphill fuel-saving speed and downhill fuel-saving speed; The uphill fuel-saving speed is determined by the following formula: The downhill fuel-saving speed is determined by the following formula: Where, v t1 is the fuel-saving speed uphill, v fs is the fuel-saving speed on flat roads, μ1 is the uphill calibration parameter, s1 is the uphill length, θ1 is the uphill angle, and v t2 is the downhill fuel-saving speed, μ2 is the downhill calibration parameter, s2 is the downhill length, θ2 is the downhill angle, and g is the acceleration of gravity.

8. A fuel-saving vehicle speed determination device, characterized in that: The fuel-saving vehicle speed determination unit is included, and the fuel-saving vehicle speed determination unit is used to: Obtaining a rolling resistance energy consumption dataset, a wind resistance consumption dataset, a vehicle anti-gravity energy consumption dataset, and a vehicle anti-acceleration energy consumption dataset; Determining vehicle energy consumption by using a first data item in the rolling resistance energy consumption dataset, a second data item in the wind resistance consumption dataset, a third data item in the vehicle anti-gravity energy consumption dataset, and a fourth data item in the vehicle anti-acceleration energy consumption dataset each time; Determine a vehicle energy consumption data set obtained by calculating the permutation and combination of all the first data, the second data, the third data, and the fourth data, and determine a minimum vehicle energy consumption based on the vehicle energy consumption data set; The minimum vehicle energy consumption, engine specific fuel consumption and engine power are used to determine the fuel-saving vehicle speed on a flat road, and the fuel-saving vehicle speed on a slope is determined based on the fuel-saving vehicle speed on a flat road.

9. An electronic device, characterized in that: comprising at least one processor, and a memory communicatively connected to the at least one processor; The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so as to enable the at least one processor to perform the fuel-saving vehicle speed determination method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the fuel-saving vehicle speed determination method according to any one of claims 1 to 7 when executed.

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