CN114290908A - Method and system for reducing energy consumption of vehicle - Google Patents
Method and system for reducing energy consumption of vehicle Download PDFInfo
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- CN114290908A CN114290908A CN202111475304.XA CN202111475304A CN114290908A CN 114290908 A CN114290908 A CN 114290908A CN 202111475304 A CN202111475304 A CN 202111475304A CN 114290908 A CN114290908 A CN 114290908A
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- 238000005265 energy consumption Methods 0.000 title claims abstract description 114
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- 238000004590 computer program Methods 0.000 claims description 9
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- 238000004519 manufacturing process Methods 0.000 abstract description 3
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/50—Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
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Abstract
The invention provides a method and a system for reducing energy consumption of a vehicle, wherein the method comprises the following steps: sending the vehicle energy consumption data to a cloud server; the cloud server side calculates the average energy consumption of the same type of vehicle driver, and sample energy consumption data are divided into a high energy consumption group and a low energy consumption group according to the average energy consumption; and (3) enabling preset low-intention torque MAP of a driver to enter a vehicle corresponding to the high-energy consumption group through OTA (over the air) flashing, and adjusting driving habits through a vehicle controller so as to reduce driving energy consumption of the whole vehicle. Therefore, the energy consumption of the whole vehicle can be reduced, the endurance mileage is improved, and the additional increase of the production cost is avoided.
Description
Technical Field
The invention belongs to the field of automobiles, and particularly relates to a method and a system for reducing energy consumption of a vehicle.
Background
With the obvious environmental and climate problems, electric vehicles have gradually become the development direction in the future. For electric vehicles, the driving mileage of the electric vehicles is one of the performance indexes, and has become a key point of attention of consumers. At present, methods such as power battery power, resistance reduction design, driving efficiency improvement and the like are commonly adopted for improving the endurance mileage of the electric vehicle, and the methods can increase the production cost of the whole vehicle.
Disclosure of Invention
In view of this, the embodiment of the invention provides a method and a system for reducing energy consumption of a vehicle, which are used for solving the problem that the increase of the endurance mileage increases the production cost of the whole vehicle.
In a first aspect of embodiments of the present invention, there is provided a method of reducing energy consumption of a vehicle, comprising:
sending the vehicle energy consumption data to a cloud server;
the cloud server side calculates the average energy consumption of the same type of vehicle driver, and sample energy consumption data are divided into a high energy consumption group and a low energy consumption group according to the average energy consumption;
and (3) enabling preset low-intention torque MAP of a driver to enter a vehicle corresponding to the high-energy consumption group through OTA (over the air) flashing, and adjusting driving habits through a vehicle controller so as to reduce driving energy consumption of the whole vehicle.
In a second aspect of embodiments of the present invention, there is provided a system for reducing energy consumption of a vehicle, comprising:
the vehicle end data sending module is used for sending the vehicle energy consumption data to the cloud server;
the energy consumption division module is used for calculating the average energy consumption of the same type of vehicle driver at the cloud server side and dividing the sample energy consumption data into a high energy consumption group and a low energy consumption group according to the average energy consumption;
the vehicle-end data writing module is used for writing preset low intention torque MAP of a driver into a vehicle corresponding to the high energy consumption group through OTA (over the air) flashing;
and the vehicle end control module is used for adjusting the driving habit through a vehicle controller so as to reduce the driving energy consumption of the whole vehicle.
In a third aspect of the embodiments of the present invention, there is provided an electronic device, including a memory, a processor, and a computer program stored in the memory and executable by the processor, where the processor executes the computer program to implement the steps of the method according to the first aspect of the embodiments of the present invention.
In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, which stores a computer program, which when executed by a processor implements the steps of the method provided by the first aspect of the embodiments of the present invention.
In the embodiment of the invention, the vehicle energy consumption data is collected by utilizing the vehicle-mounted internet, the energy consumption of the whole vehicle is counted and analyzed, the high-energy-consumption vehicles are screened and divided, the corresponding vehicle driving software is updated by the driver low-intention torque MAP through the internet OTA, the driving habit is adjusted by the vehicle controller, the energy consumption of the whole vehicle is reduced, the driving range of the vehicle can be increased, and the additional cost is avoided.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for reducing energy consumption of a vehicle according to an embodiment of the present invention;
FIG. 2 is another schematic flow chart of a method for reducing energy consumption of a vehicle according to an embodiment of the present invention;
FIG. 3 is a schematic illustration of a driver low-intent torque change provided by one embodiment of the present invention;
fig. 4 is a schematic structural diagram of a system for reducing energy consumption of a vehicle according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the terms "comprises" and "comprising," when used in this specification or claims and in the accompanying drawings, are intended to cover a non-exclusive inclusion, such that a process, method or system, or apparatus that comprises a list of steps or elements is not limited to the listed steps or elements. In addition, "first" and "second" are used to distinguish different objects, and are not used to describe a specific order.
Referring to fig. 1, a flow chart of a method for reducing energy consumption of a vehicle according to an embodiment of the present invention includes:
s101, sending vehicle energy consumption data to a cloud server;
the energy consumption data is the power consumption of the vehicle in running, generally comprises power battery power consumption, air conditioner power consumption and accessory power consumption, and also can comprise data such as vehicle speed, accelerator opening, brake opening, total mileage of a sample vehicle and the like.
Specifically, vehicle signal data are transmitted to the cloud server through the vehicle-mounted T _ Box, and the signals comprise power battery power consumption, vehicle speed, accelerator opening, brake opening, total mileage of a sample vehicle, air conditioner power consumption, accessory power consumption and the like.
S102, calculating the average energy consumption of the same type of vehicle driver by a cloud server, and dividing sample energy consumption data into a high energy consumption group and a low energy consumption group according to the average energy consumption;
wherein, the driving energy consumption of the vehicle is the power consumption of the battery minus the power consumption of the air conditioner and the power consumption of the accessories.
The sample energy consumption data is driving energy consumption data acquired by a sample vehicle, and the energy consumption data sent by the vehicle in the embodiment is the sample energy consumption data.
And calculating the driving energy consumption of each vehicle, calculating the average value of the driving energy consumption of the same vehicle type, and determining a high energy consumption group when the driving energy consumption of the sample vehicle is greater than the average value, otherwise, determining a low energy consumption group.
Specifically, in the cloud server, the running energy consumption of the whole vehicle is analyzed based on big data statistics, the average energy consumption of the same type of vehicle for driving the whole vehicle is calculated, and the sample is divided into two groups, namely a high energy consumption group and a low energy consumption group according to the average energy consumption value.
And S103, the preset low intention torque MAP of the driver enters the vehicle corresponding to the high energy consumption group through OTA (over the air) flashing, and the driving habit is adjusted through the vehicle controller so as to reduce the driving energy consumption of the whole vehicle.
The driver low intention torque MAP is a torque meter, the X axis of the torque meter can be the throttle opening, the Y axis can be the vehicle speed, and the Z axis is filled with the torque.
The preset low driver intention torque MAP is flashed Over-the-Air Technology (OTA) into the high energy consumption bank. The driving habit of a driver is influenced through software, the driving energy consumption of the whole vehicle is reduced, and the driving range is increased.
Specifically, the driver intention torque MAP is controlled to be reduced to a predetermined value by the vehicle controller in accordance with the preset driver low intention torque MAP.
After triggering the low driver torque MAP table, the dynamic property of the vehicle partial load is reduced, the former dynamic property can be achieved only by stepping on a deeper accelerator, and the driver fatigue is easily caused by stepping on the deeper accelerator for a long time. After the dynamic response of the vehicle is reduced, the throttle opening degree and the like are controlled through a vehicle controller, the driver is adjusted to tend to drive the vehicle softly, the driving habit is changed, and the driving range of the vehicle is increased.
For example, as shown in fig. 2, a vehicle signal is sent to the cloud server through the vehicle-mounted T-Box, wherein the vehicle signal includes a vehicle speed, a power battery power consumption, an accelerator opening, a brake opening, a driving time, an air conditioner power consumption, an accessory power consumption and a total mileage of a sample vehicle.
In a cloud server, calculating average energy consumption EC based on big data analysisAverageThe energy consumption of the vehicle is divided into a high energy consumption group and a low energy consumption group according to the energy consumption of the vehicle. The low intention torque MAP of a driver preset in the server is sent to the vehicle corresponding to the high energy consumption group through the OTA, and the driving habits (accelerator opening, brake opening and the like) are adjusted through the EC group vehicle controller, so that the driving energy consumption is reduced.
Fig. 3 shows a schematic diagram comparing the unmodified intention torque with the intention torque attenuated by about 50% of the intention torque, wherein the maximum intention torque is still the maximum torque of the motor under the full-open state of the throttle, so as to ensure the ultimate acceleration and the ultimate climbing capability of the vehicle are not changed.
In the embodiment, the face and the license plate in the street view video can be accurately detected, the target is subjected to fuzzy processing, the target detection precision can be improved, manpower and material resources are reduced, and the street view video processing quality and efficiency are guaranteed.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Fig. 4 is a schematic structural diagram of a system for reducing energy consumption of a vehicle according to an embodiment of the present invention, where the system includes:
the vehicle-end data sending module 410 is used for sending the vehicle energy consumption data to the cloud server;
the vehicle energy consumption data at least comprises power battery power consumption, air conditioner power consumption, accessory power consumption, vehicle speed, accelerator opening, brake opening and total vehicle mileage.
The energy consumption division module 420 is used for calculating the average energy consumption of the same type of vehicle driver at the cloud server side, and dividing the sample energy consumption data into a high energy consumption group and a low energy consumption group according to the average energy consumption;
and analyzing the running energy consumption of the whole vehicle based on big data statistics.
The vehicle-end data writing module 430 is used for writing preset low intention torque MAP of the driver into the vehicle corresponding to the high energy consumption group through OTA;
specifically, the driver intention torque MAP is controlled to be reduced to a predetermined value by the vehicle controller in accordance with the preset driver low intention torque MAP.
And the vehicle end control module 440 is used for adjusting driving habits through a vehicle controller so as to reduce the driving energy consumption of the whole vehicle.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the module described above may refer to corresponding processes in the foregoing method embodiments, and are not described herein again.
It is understood that, in one embodiment, the electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program executes steps S101 to S103 in the first embodiment, and the processor implements the reduction of the energy consumption of the electric vehicle when executing the computer program.
Those skilled in the art will understand that all or part of the steps in the method for implementing the above embodiments may be implemented by a program to instruct associated hardware, where the program may be stored in a computer-readable storage medium, and when executed, the program includes steps S101 to S103, where the storage medium includes, for example: ROM/RAM, magnetic disk, optical disk, etc.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method of reducing energy consumption of a vehicle, comprising:
sending the vehicle energy consumption data to a cloud server;
the cloud server side calculates the average energy consumption of the same type of vehicle driver, and sample energy consumption data are divided into a high energy consumption group and a low energy consumption group according to the average energy consumption;
and (3) enabling preset low-intention torque MAP of a driver to enter a vehicle corresponding to the high-energy consumption group through OTA (over the air) flashing, and adjusting driving habits through a vehicle controller so as to reduce driving energy consumption of the whole vehicle.
2. The method of claim 1, wherein the vehicle energy consumption data includes at least power battery power consumption, air conditioner power consumption, accessory power consumption, vehicle speed, throttle opening, brake opening, and total vehicle mileage.
3. The method of claim 1, wherein the cloud server side calculating the average energy consumption of the same model driver comprises:
and (4) carrying out statistical analysis on the running energy consumption of the whole vehicle based on big data.
4. The method according to claim 1, wherein the adjusting of driving habits by a vehicle controller is in particular:
and controlling to reduce the driver intention torque MAP to a preset value through a vehicle controller according to the preset driver low intention torque MAP.
5. A system for reducing energy consumption of a vehicle, comprising:
the vehicle end data sending module is used for sending the vehicle energy consumption data to the cloud server;
the energy consumption division module is used for calculating the average energy consumption of the same type of vehicle driver at the cloud server side and dividing the sample energy consumption data into a high energy consumption group and a low energy consumption group according to the average energy consumption;
the vehicle-end data writing module is used for writing preset low intention torque MAP of a driver into a vehicle corresponding to the high energy consumption group through OTA (over the air) flashing;
and the vehicle end control module is used for adjusting the driving habit through a vehicle controller so as to reduce the driving energy consumption of the whole vehicle.
6. The system of claim 5, wherein the vehicle energy consumption data includes at least power battery power consumption, air conditioner power consumption, accessory power consumption, vehicle speed, throttle opening, brake opening, and total vehicle mileage.
7. The system of claim 5, wherein the cloud server side calculating the average energy consumption of the same model driver comprises:
and (4) carrying out statistical analysis on the running energy consumption of the whole vehicle based on big data.
8. The system according to claim 5, wherein the adjustment of driving habits by the vehicle controller is in particular:
and controlling to reduce the driver intention torque MAP to a preset value through a vehicle controller according to the preset driver low intention torque MAP.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of a method for reducing energy consumption of a vehicle according to any of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, having a computer program stored thereon, when being executed, for performing the steps of the method of reducing energy consumption of a vehicle according to any one of claims 1 to 4.
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| CN202111475304.XA CN114290908A (en) | 2021-12-06 | 2021-12-06 | Method and system for reducing energy consumption of vehicle |
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