CN115649161A - Oil-saving vehicle speed determination method, device and system and storage medium - Google Patents
Oil-saving vehicle speed determination method, device and system and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device and a system for determining an oil-saving vehicle speed and a storage medium. The oil-saving vehicle speed determining method comprises the following steps: acquiring a rolling resistance energy consumption data set, a wind resistance energy consumption data set, a vehicle antigravity energy consumption data set and a vehicle anti-acceleration energy consumption data set; determining vehicle energy consumption by adopting a first data in the rolling resistance energy consumption data set, a second data in the wind resistance energy consumption data set, a third data in the vehicle antigravity energy consumption data set and a fourth data in the vehicle anti-acceleration energy consumption data set each time; determining a vehicle energy consumption data set obtained by computing all the first data, the second data, the third data and the fourth data after permutation and combination, and determining the minimum vehicle energy consumption through the vehicle energy consumption data set; and determining the road-levelling fuel-saving vehicle speed by adopting the minimum vehicle energy consumption, the engine specific fuel consumption and the engine power, and determining the slope fuel-saving vehicle speed by the road-levelling fuel-saving vehicle speed.
Description
Technical Field
The embodiment of the invention relates to the vehicle engineering technology, in particular to a method, a device and a system for determining an oil-saving vehicle speed and a storage medium.
Background
At present, the constant-speed cruise function is gradually a basic function configured for an automatic-gear vehicle, a driver does not need to step on an accelerator pedal to keep the vehicle speed in the constant-speed cruise mode, the vehicle can automatically run at a fixed speed, and when the constant-speed cruise function is configured, the driver does not need to control the accelerator pedal under a long-distance running working condition, so that fatigue is relieved, and unnecessary vehicle speed change is reduced.
Under the constant-speed cruise mode, if the vehicle speed can be controlled to be in an interval which enables the vehicle to have good fuel economy (namely fuel saving), the requirements of a vehicle user on fuel saving can be well met. At present, a driver usually determines an oil-saving vehicle speed through experience, the aim of reducing the oil consumption of a vehicle is achieved by setting the oil-saving vehicle speed as a constant-speed cruising vehicle speed, and when the oil-saving vehicle speed determined by the driver is related to the experience and the driving level of the driver, a good oil-saving effect cannot be achieved usually.
Disclosure of Invention
The invention provides a method, a device and a system for determining an oil-saving vehicle speed and a storage medium, which are used for achieving the purpose of accurately determining the oil-saving vehicle speed on a flat road and the oil-saving vehicle speed on a sloping road of a vehicle.
In a first aspect, an embodiment of the present invention provides a fuel-saving vehicle speed determining method, including:
acquiring a rolling resistance energy consumption data set, a wind resistance energy consumption data set, a vehicle antigravity energy consumption data set and a vehicle anti-acceleration energy consumption data set;
determining vehicle energy consumption each time by using one first data in the rolling resistance energy consumption data set, one second data in the wind resistance energy consumption data set, one third data in the vehicle antigravity energy consumption data set and one fourth data in the vehicle anti-acceleration energy consumption data set;
determining a vehicle energy consumption data set obtained by computing all the first data, the second data, the third data and the fourth data after permutation and combination, and determining the minimum vehicle energy consumption through the vehicle energy consumption data set;
and determining a flat road fuel-saving vehicle speed by adopting the minimum vehicle energy consumption, the engine specific fuel consumption and the engine power, and determining a slope road fuel-saving vehicle speed according to the flat road fuel-saving vehicle speed.
Optionally, the acquiring the rolling resistance energy consumption data set comprises:
acquiring a finished automobile gravity data set, a road surface rolling coefficient data set and a road surface longitudinal gradient data set, and determining the rolling resistance energy consumption data set through the finished automobile gravity data set, the road surface rolling coefficient data set and the road surface longitudinal gradient data set.
Optionally, the acquiring the wind resistance consumption data set includes:
the method comprises the steps of obtaining a vehicle windward resistance coefficient, a vehicle windward area data set and a vehicle speed data set, and determining a windward resistance consumption data set according to the vehicle windward resistance coefficient, the vehicle windward area data set and the vehicle speed data set.
Optionally, obtaining the vehicle antigravity energy consumption data set includes:
acquiring a finished automobile gravity data set and a height difference data set, and determining the anti-gravity energy consumption data set of the vehicle through the finished automobile gravity data set and the height difference data set.
Optionally, the obtaining the vehicle anti-acceleration energy consumption data set includes:
and obtaining a rotation coefficient, the whole vehicle mass, an acceleration data set and a vehicle speed data set, and determining the vehicle acceleration energy consumption resisting data set according to the rotation coefficient, the whole vehicle mass, the acceleration data set and the vehicle speed data set.
Optionally, the road-leveling fuel-saving vehicle speed is determined by the following formula:
in the formula, E min For minimum vehicle energy consumption, T tq Is the engine output torque, n is the engine speed, b is the specific fuel consumption of the engine, v fs The speed is the road-leveling fuel-saving speed, and p is the engine power.
Optionally, the slope road fuel saving vehicle speed includes an uphill fuel saving vehicle speed and a downhill fuel saving vehicle speed;
determining the uphill fuel-saving vehicle speed by the following formula:
determining the downhill fuel-saving vehicle speed by:
in the formula, v t1 For uphill fuel-saving speed, v fs For fuel-economizing on flat road, speed mu 1 Calibrating the parameters for uphill slopes, s 1 For length of uphill slope, theta 1 Is an upward slope angle, v t2 For downhill saving of fuel, mu 2 Calibrating parameters for downhill slopes, s 2 For downhill length, θ 2 Is the downhill angle, g is the gravitational acceleration.
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 configured to:
acquiring a rolling resistance energy consumption data set, a wind resistance energy consumption data set, a vehicle antigravity energy consumption data set and a vehicle anti-acceleration energy consumption data set;
determining vehicle energy consumption by using one first data in the rolling resistance energy consumption data set, one second data in the wind resistance energy consumption data set, one third data in the vehicle antigravity energy consumption data set and one fourth data in the vehicle anti-acceleration energy consumption data set each time;
determining a vehicle energy consumption data set obtained by computing all the first data, the second data, the third data and the fourth data after permutation and combination, and determining the minimum vehicle energy consumption through the vehicle energy consumption data set;
and determining a flat road fuel-saving vehicle speed by adopting the minimum vehicle energy consumption, the engine specific fuel consumption and the engine power, and determining a slope road fuel-saving vehicle speed according to the flat road fuel-saving vehicle speed.
In a third aspect, an embodiment of the present invention further provides an electronic device, including 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 to enable the at least one processor to execute the fuel-saving vehicle speed determination method according to the embodiment of the invention.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, where computer instructions are stored, and the computer instructions are used for enabling a processor to implement the fuel-saving vehicle speed determining method according to the embodiment of the present invention when executed.
Compared with the prior art, the invention has the beneficial effects that: the invention provides an oil-saving vehicle speed determining method, which comprises the steps of determining a vehicle energy consumption data set through a rolling resistance energy consumption data set, a wind resistance energy consumption data set, a vehicle antigravity energy consumption data set and a vehicle anti-acceleration energy consumption data set, selecting minimum vehicle energy consumption from the vehicle energy consumption data set, determining a flat road oil-saving vehicle speed through the minimum vehicle energy consumption, engine specific oil consumption and engine power, determining a slope road oil-saving vehicle speed through the flat road oil-saving vehicle speed, determining the minimum energy consumption of a vehicle through the rolling resistance energy consumption, the wind resistance energy consumption, the vehicle antigravity energy consumption and the vehicle anti-acceleration energy consumption, and ensuring that the determined minimum energy consumption of the vehicle has higher accuracy, so that the flat road oil-saving vehicle speed and the slope road oil-saving vehicle speed determined through the minimum vehicle energy consumption are higher in accuracy.
Drawings
FIG. 1 is a flowchart of a fuel saving vehicle speed determining method in the embodiment;
fig. 2 is a schematic structural diagram of an electronic device in the embodiment.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a fuel-saving vehicle speed determination method in the embodiment, and referring to fig. 1, the fuel-saving vehicle speed determination method includes:
s101, acquiring a rolling resistance energy consumption data set, a wind resistance energy consumption data set, a vehicle antigravity energy consumption data set and a vehicle anti-acceleration energy consumption data set.
For example, in this embodiment, the rolling resistance energy consumption data set, the wind resistance energy consumption data set, the vehicle antigravity energy consumption data set, and the vehicle anti-acceleration energy consumption data set may be determined through a calibration test, or actual driving condition data of the vehicle may be directly used;
when the calibration test is adopted for determination, the calibration conditions at least comprise conditions of all possible working conditions when the vehicle actually runs.
Illustratively, in the present embodiment, the rolling resistance energy consumption data set includes several items of first data, wherein one item of the first data can be at least used for reflecting the rolling resistance of the vehicle when the vehicle runs on one road surface;
the wind resistance consumption data set comprises a plurality of items of second data, wherein one item of second data at least can be used for reflecting the wind resistance of the vehicle when the vehicle runs under a windward condition;
the vehicle antigravity energy consumption data set comprises a plurality of items of third data, wherein one item of third data can be at least used for reflecting the energy consumed by overcoming the gravity when the vehicle runs on a road with a slope;
the vehicle anti-acceleration energy consumption data set includes a plurality of fourth data, wherein one of the fourth data is at least used for reflecting the energy consumed by the vehicle under an acceleration to make the vehicle have the acceleration.
S102, determining vehicle energy consumption by adopting a first data in the rolling resistance energy consumption data set, a second data in the wind resistance energy consumption data set, a third data in the vehicle antigravity energy consumption data set and a fourth data in the vehicle anti-acceleration energy consumption data set each time.
S103, determining a vehicle energy consumption data set obtained by computing all the first data, the second data, the third data and the fourth data after permutation and combination, and determining the minimum vehicle energy consumption through the vehicle energy consumption data set.
Exemplarily, in combination with step S102 and step S103, in this embodiment, considering a permutation and combination condition of all the first data, the second data, the third data and the fourth data, calculating one vehicle energy consumption through one permutation and combination condition, further determining a plurality of vehicle energy consumptions corresponding to all the permutation and combination conditions, and adopting all the vehicle energy consumptions to form a vehicle energy consumption data set;
the energy consumption of the vehicle is calculated, one first datum, one second datum, one third datum and one fourth datum are obtained, one-time vehicle energy consumption calculation is carried out through the four data, and the sum of the four data is used as the energy consumption of the vehicle.
S104, determining a flat road fuel-saving speed by adopting the minimum vehicle energy consumption, the engine specific fuel consumption and the engine power, and determining a slope road fuel-saving speed by the flat road fuel-saving speed.
For example, in the embodiment, the specific fuel consumption of the engine and the power of the engine are known quantities, and the specific fuel consumption of the engine and the power of the engine can be determined through calibration tests.
For example, in the present embodiment, the road-leveling saving vehicle speed may be determined by:
V fs ＝f 1 (E min ,b,p)
in the formula, V fs For road-levelling to save fuel, speed E min And b is the specific fuel consumption of the engine, and p is the power of the engine.
For example, in the present embodiment, the hill fuel saving vehicle speed may be determined by the following equation:
V ps ＝f 2 (V fs ,θ)
in the formula, V ps For slope road fuel-saving speed, V fs Is a flat roadThe vehicle speed is saved, and theta is the gradient of the road surface of the slope.
The embodiment provides an oil-saving vehicle speed determination method, which comprises the steps of determining a vehicle energy consumption data set through a rolling resistance energy consumption data set, a wind resistance energy consumption data set, a vehicle antigravity energy consumption data set and a vehicle anti-acceleration energy consumption data set, selecting minimum vehicle energy consumption from the vehicle energy consumption data set, determining a flat road oil-saving vehicle speed through the minimum vehicle energy consumption, engine specific oil consumption and engine power, determining a slope road oil-saving vehicle speed through the flat road oil-saving vehicle speed, determining the minimum energy consumption of a vehicle through the rolling resistance energy consumption, the wind resistance energy consumption, the vehicle antigravity energy consumption and the vehicle anti-acceleration energy consumption, and ensuring that the determined minimum energy consumption of the vehicle is high in accuracy, so that the flat road oil-saving vehicle speed and the determined vehicle speed through the minimum vehicle energy consumption are high in accuracy.
As an implementation, on the basis of the content recorded in step S101, acquiring the rolling resistance energy consumption data set includes:
acquiring a whole vehicle gravity data set, a road surface rolling coefficient data set and a road surface longitudinal gradient data set, and determining a rolling resistance energy consumption data set through the whole vehicle gravity data set, the road surface rolling coefficient data set and the road surface longitudinal gradient data set.
In an exemplary scheme, the whole vehicle gravity data set, the road surface rolling coefficient data set and the road surface longitudinal gradient data set are determined through a calibration test, or actual driving condition data of the vehicle are directly adopted.
In an exemplary manner, in the scheme, data in a vehicle gravity data set, a road surface rolling coefficient data set and a road surface longitudinal gradient data set are adopted, corresponding rolling resistance energy consumption data can be determined in a fitting function or neural network mode, and all adopted rolling resistance energy consumption data form a rolling resistance energy consumption data set;
for example, in the present embodiment, the rolling resistance energy consumption data may be determined by the following formula:
in the formula, E r The rolling resistance energy consumption data is t, time is t, G is the gravity data of the whole vehicle, f is the road surface rolling coefficient data, a is the longitudinal gradient data of the road surface, v is the vehicle speed of the vehicle in the horizontal direction, and s is the distance.
As an implementation, on the basis of the content recorded in step S101, acquiring the wind resistance consumption data set includes:
the method comprises the steps of obtaining a vehicle windward resistance coefficient, a vehicle windward area data set and a vehicle speed data set, and determining a windward resistance consumption data set through the vehicle windward resistance coefficient, the vehicle windward area data set and the vehicle speed data set.
In the scheme, the windward resistance coefficient of the vehicle is related to the vehicle to be detected and is a fixed value, and the windward area data set and the vehicle speed data set of the vehicle are determined through a calibration test, or the actual driving condition data of the vehicle is directly adopted.
In an exemplary scheme, a vehicle windward resistance coefficient, a vehicle windward area data set and a vehicle speed data set are adopted, corresponding windage consumption data can be determined through a fitting function or a neural network and the like, and all the adopted windage consumption data form a windage consumption data set;
for example, in the present solution, the wind resistance consumption data may be determined by the following formula:
in the formula, E w Consumption of data for wind resistance, C D Is the windward resistance coefficient of the vehicle, A is the windward area data of the vehicle, v a The vehicle speed on a slope road, v the vehicle speed in the horizontal direction, t the time and s the distance.
As an implementation, the acquiring the vehicle antigravity energy consumption data set based on the content recorded in step S101 includes:
and acquiring a finished automobile gravity data set and a height difference data set, and determining a vehicle antigravity energy consumption data set through the finished automobile gravity data set and the height difference data set.
In an exemplary scheme, the whole vehicle gravity data set and the height difference data set are determined through a calibration test, or actual driving condition data of the vehicle are directly adopted.
In an exemplary manner, in the scheme, a whole vehicle gravity data set and a height difference data set are adopted, corresponding vehicle antigravity energy consumption data can be determined in a fitting function or neural network mode, and all the adopted vehicle antigravity energy consumption data form a vehicle antigravity energy consumption data set;
for example, in the present solution, the vehicle antigravity energy consumption data may be determined by the following formula:
in the formula, E i The data is the antigravity energy consumption data of the vehicle, G is the gravity data of the whole vehicle, a is the longitudinal gradient data of the road surface, v is the speed of the vehicle in the horizontal direction, and delta h is the height difference data of the slope.
As an implementation solution, on the basis of the content recorded in step S101, acquiring the vehicle anti-acceleration energy consumption data set includes:
and obtaining a rotation coefficient, the whole vehicle mass, an acceleration data set and a vehicle speed data set, and determining an acceleration-resistant energy consumption data set of the vehicle according to the rotation coefficient, the whole vehicle mass, the acceleration data set and the vehicle speed data set.
In the scheme, the rotation coefficient and the whole vehicle mass are related to the vehicle to be detected and are fixed values, and the acceleration data set and the vehicle speed data set are determined through a calibration test or actual driving condition data of the vehicle are directly adopted.
Exemplarily, in the scheme, a rotation coefficient, the whole vehicle mass, an acceleration data set and a vehicle speed data set are adopted, corresponding vehicle acceleration-resisting energy consumption data can be determined through a fitting function or a neural network and the like, and all the adopted vehicle acceleration-resisting energy consumption data form a vehicle acceleration-resisting energy consumption data set;
for example, in the present solution, the vehicle anti-acceleration energy consumption data may be determined by the following formula:
in the formula, E j The data of the acceleration energy consumption resistance of the vehicle is shown, delta is a rotation coefficient, m is the mass of the whole vehicle, and v is the vehicle speed of the vehicle in the horizontal direction.
As an implementation, on the basis of the contents recorded in step S104, the road-leveling saving vehicle speed is determined by the following formula:
in the formula, E min For minimum vehicle energy consumption, T tq Is the engine output torque, n is the engine speed, b is the specific fuel consumption of the engine, v fs The speed is the road-leveling fuel-saving speed, and p is the engine power.
As an embodiment, the slope-road saving vehicle speed includes an uphill saving vehicle speed and a downhill saving vehicle speed on the basis of the contents described in step S104.
In the scheme, the uphill fuel-saving vehicle speed is determined through the following formula:
in the formula, v t1 For uphill fuel-saving speed, v fs For road-levelling fuel-saving speed, mu 1 Calibrating the parameters for uphill slopes, s 1 For length of uphill slope, theta 1 Is the uphill angle and g is the acceleration of gravity.
In the scheme, the downhill fuel-saving vehicle speed is determined through the following formula:
in the formula, v t2 For downhill fuel-saving, v fs For fuel-economizing on flat road, speed mu 2 Calibrating the parameters for downhill slopes, s 2 For length of downhill slope, θ 2 Is the downhill angle, g is the gravitational acceleration.
In the scheme, for the slope road with different slopes, a group of uphill oil-saving vehicle speeds and a group of downhill oil-saving vehicle speeds can be determined, and the uphill oil-saving vehicle speeds and the downhill oil-saving vehicle speeds can be stored in a vehicle controller in a form of a table, so that the corresponding uphill oil-saving vehicle speeds or downhill oil-saving vehicle speeds can be inquired from the table according to the current road surface condition in the actual running process of the vehicle.
For example, in the present solution, a calculation formula of a flat road fuel saving vehicle speed and a slope road fuel saving vehicle speed (including an uphill fuel saving vehicle speed and a downhill fuel saving vehicle speed) may be configured in the vehicle controller, and the vehicle controller may be configured to implement the vehicle speed control in the following manner:
obtaining a cruising speed of constant-speed cruising, calculating a level road oil-saving speed or a slope road oil-saving speed according to road information, and comparing the cruising speed with the level road oil-saving speed or the slope road oil-saving speed;
if the difference value between the cruising vehicle speed and the level road fuel saving vehicle speed is larger than a set threshold value, or the difference value between the cruising vehicle speed and the slope road fuel saving vehicle speed is larger than a set threshold value, selecting the cruising vehicle speed as the target vehicle speed, or selecting the level road fuel saving vehicle speed or the slope road fuel saving vehicle speed as the target vehicle speed.
For example, if the fuel-saving speed of the vehicle on a flat road is 60km/h, and the threshold value is set to be 10km/h, under the condition of the flat road:
when the constant-speed cruising speed set by the driver is 65km/h, the actual cruising speed is the flat road fuel-saving speed of 60km/h; when the constant-speed cruising speed set by the driver is 80km/h, the actual cruising speed is 80km/h.
When the road is on the uphill, if the fuel-saving speed on the flat road is 60km/h, the gradient of the front road surface is 1%, and the distance from the front slope road is 100m, the fuel-saving speed on the uphill is as follows:
when the constant-speed cruising speed set by the driver is 65km/h, the actual cruising speed is the uphill fuel-saving speed of 62.1km/h; when the constant-speed cruising speed set by the driver is 80km/h, the actual cruising speed is 80km/h.
When the vehicle is on the uphill road, if the fuel-saving vehicle speed on the flat road is 60km/h, the gradient of the front road surface is 1%, the distance from the front slope road is 100m, and the fuel-saving vehicle speed of the vehicle is as follows:
when the constant-speed cruising speed set by the driver is 65km/h, the actual cruising speed is 57.9km/h of the downhill oil-saving speed; when the constant-speed cruising speed set by the driver is 80km/h, the actual cruising speed is 80km/h.
For example, in this embodiment, the manners of obtaining the rolling resistance energy consumption data set, obtaining the wind resistance consumption data set, obtaining the vehicle antigravity energy consumption data set, obtaining the vehicle anti-acceleration energy consumption data set, and determining the level road fuel-saving vehicle speed and the slope road fuel-saving vehicle speed may be combined arbitrarily in one possible implementation scheme.
For example, in one possible embodiment, the fuel-saving vehicle speed may be determined by:
determining rolling resistance energy consumption data through the following formula, and generating a rolling resistance energy consumption data set through all the available rolling resistance energy consumption data:
determining wind resistance consumption data through the following formula, and generating a wind resistance consumption data set through all available wind resistance consumption data:
determining the vehicle antigravity energy consumption data through the following formula, and generating a vehicle antigravity energy consumption data set through all the vehicle antigravity energy consumption data which can be obtained:
determining vehicle anti-acceleration energy consumption data through the following formula, and generating a vehicle anti-acceleration energy consumption data set through all available vehicle anti-acceleration energy consumption data:
determining the minimum vehicle energy consumption through the rolling resistance energy consumption data set, the wind resistance energy consumption data set, the vehicle antigravity energy consumption data set and the vehicle anti-acceleration energy consumption data set;
determining the road-leveling fuel-saving vehicle speed by the following formula:
determining the uphill fuel-saving vehicle speed by the following formula:
determining the downhill fuel-saving vehicle speed by:
in this scheme, the definition of each parameter in the formula is the same as the parameter definition recorded in the scheme, and is not described again here.
Example two
The present embodiment provides a fuel-saving vehicle speed determination device, including a fuel-saving vehicle speed determination unit configured to:
acquiring a rolling resistance energy consumption data set, a wind resistance energy consumption data set, a vehicle antigravity energy consumption data set and a vehicle anti-acceleration energy consumption data set;
determining vehicle energy consumption by adopting one first data in the rolling resistance energy consumption data set, one second data in the wind resistance energy consumption data set, one third data in the vehicle antigravity energy consumption data set and one fourth data in the vehicle anti-acceleration energy consumption data set each time;
determining a vehicle energy consumption data set obtained by calculation after permutation and combination of all the first data, the second data, the third data and the fourth data, and determining the minimum vehicle energy consumption through the vehicle energy consumption data set;
and determining the road-levelling fuel-saving vehicle speed by adopting the minimum vehicle energy consumption, the engine specific fuel consumption and the engine power, and determining the slope fuel-saving vehicle speed by the road-levelling fuel-saving vehicle speed.
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 may be specifically configured, and specific implementation processes and beneficial effects thereof are the same as the corresponding contents described in the first embodiment, and are not described herein again.
EXAMPLE III
FIG. 2 illustrates a schematic diagram of an electronic device 10 that may be used to implement an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 2, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various suitable 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. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 may also be stored. The processor 11, the ROM 12, and the 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.
A number of 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, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, 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.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The processor 11 executes the various methods and processes described above, such as the fuel-saving vehicle speed determination method.
In some embodiments, the fuel-saving vehicle speed determination method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the above-described fuel-saving vehicle speed determination method 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., by way of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program 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, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here 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 a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, 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 may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, 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: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the Internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A fuel-saving vehicle speed determination method is characterized by comprising the following steps:
acquiring a rolling resistance energy consumption data set, a wind resistance energy consumption data set, a vehicle antigravity energy consumption data set and a vehicle anti-acceleration energy consumption data set;
determining vehicle energy consumption by using one first data in the rolling resistance energy consumption data set, one second data in the wind resistance energy consumption data set, one third data in the vehicle antigravity energy consumption data set and one fourth data in the vehicle anti-acceleration energy consumption data set each time;
determining a vehicle energy consumption data set obtained by computing all the first data, the second data, the third data and the fourth data after permutation and combination, and determining the minimum vehicle energy consumption through the vehicle energy consumption data set;
and determining a flat road fuel-saving vehicle speed by adopting the minimum vehicle energy consumption, the engine specific fuel consumption and the engine power, and determining a slope road fuel-saving vehicle speed according to the flat road fuel-saving vehicle speed.
2. The fuel-efficient vehicle speed determination method of claim 1, wherein obtaining the rolling resistance energy consumption dataset comprises:
acquiring a finished automobile gravity data set, a road surface rolling coefficient data set and a road surface longitudinal gradient data set, and determining the rolling resistance energy consumption data set through the finished automobile gravity data set, the road surface rolling coefficient data set and the road surface longitudinal gradient data set.
3. The fuel-saving vehicle speed determining method according to claim 1, wherein obtaining the windage consumption dataset includes:
the method comprises the steps of obtaining a vehicle windward resistance coefficient, a vehicle windward area data set and a vehicle speed data set, and determining a windward resistance consumption data set according to the vehicle windward resistance coefficient, the vehicle windward area data set and the vehicle speed data set.
4. The fuel-efficient vehicle speed determination method of claim 1, wherein obtaining a vehicle antigravity energy consumption data set comprises:
acquiring a whole vehicle gravity data set and a height difference data set, and determining the vehicle antigravity energy consumption data set through the whole vehicle gravity data set and the height difference data set.
5. The fuel-efficient vehicle speed determination method of claim 1, wherein obtaining a vehicle anti-acceleration energy consumption dataset comprises:
and obtaining a rotation coefficient, the whole vehicle mass, an acceleration data set and a vehicle speed data set, and determining the vehicle acceleration energy consumption resisting data set according to the rotation coefficient, the whole vehicle mass, the acceleration data set and the vehicle speed data set.
6. The fuel-saving vehicle speed determining method according to claim 1, wherein the road-flat fuel-saving vehicle speed is determined by the following equation:
in the formula, E min For minimum vehicle energy consumption, T tq Is the engine output torque, n is the engine speed, b is the specific fuel consumption of the engine, v fs The engine power p is the engine power.
7. The fuel-saving vehicle speed determining method according to claim 1, wherein the hill-road fuel-saving vehicle speed includes an uphill fuel-saving vehicle speed, a downhill fuel-saving vehicle speed;
determining the uphill fuel-saving vehicle speed by the following formula:
determining the downhill fuel-saving vehicle speed by:
in the formula, v t1 For uphill fuel-saving speed, v fs For fuel-economizing on flat road, speed mu 1 Calibrating the parameters for uphill slopes, s 1 For length of uphill slope, theta 1 Is an upward slope angle, v t2 For downhill saving of fuel, mu 2 Calibrating parameters for downhill slopes, s 2 For downhill length, θ 2 Is the downhill angle, g is the gravitational acceleration.
8. A fuel-saving vehicle speed determining device is characterized by comprising a fuel-saving vehicle speed determining unit, wherein the fuel-saving vehicle speed determining unit is used for:
acquiring a rolling resistance energy consumption data set, a wind resistance energy consumption data set, a vehicle antigravity energy consumption data set and a vehicle anti-acceleration energy consumption data set;
determining vehicle energy consumption by using one first data in the rolling resistance energy consumption data set, one second data in the wind resistance energy consumption data set, one third data in the vehicle antigravity energy consumption data set and one fourth data in the vehicle anti-acceleration energy consumption data set each time;
determining a vehicle energy consumption data set obtained by computing all the first data, the second data, the third data and the fourth data after permutation and combination, and determining the minimum vehicle energy consumption through the vehicle energy consumption data set;
and determining a flat road fuel-saving vehicle speed by adopting the minimum vehicle energy consumption, the engine specific fuel consumption and the engine power, and determining a slope road fuel-saving vehicle speed according to the flat road fuel-saving vehicle speed.
9. An electronic device comprising at least one processor, and a memory communicatively coupled to the at least one processor;
the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to execute the fuel saving vehicle speed determining method according to any one of claims 1 to 7.
10. A computer-readable storage medium storing computer instructions for causing a processor to implement the fuel saving vehicle speed determining method according to any one of claims 1 to 7 when executed.
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