CN112612286A - New energy automobile electric driving control method and device based on big data - Google Patents
New energy automobile electric driving control method and device based on big data Download PDFInfo
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- CN112612286A CN112612286A CN202011562007.4A CN202011562007A CN112612286A CN 112612286 A CN112612286 A CN 112612286A CN 202011562007 A CN202011562007 A CN 202011562007A CN 112612286 A CN112612286 A CN 112612286A
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- 238000011217 control strategy Methods 0.000 claims abstract description 48
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- 230000001502 supplementing effect Effects 0.000 claims description 6
- 238000004891 communication Methods 0.000 description 5
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0214—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with safety or protection criteria, e.g. avoiding hazardous areas
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
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Abstract
The invention provides a new energy automobile electric driving control method and device based on big data. The method comprises the following steps: acquiring driving road condition information and current driving information of the new energy automobile in real time; crawling a corresponding new energy automobile electric driving control strategy according to the driving road condition information, and generating a new energy automobile driving state table according to the current driving information of the new energy automobile; and controlling the electric drive of the new energy automobile by combining the new energy automobile driving state table according to the new energy automobile electric drive control strategy. According to the invention, only the control strategy of the ideal can be obtained according to the situation road condition and the automobile driving information through big data, the most appropriate control strategy is screened out, and meanwhile, the energy of the automobile can be automatically controlled, so that the energy can be supplemented in time, and the safety of the electric driving control of the new energy automobile is improved.
Description
Technical Field
The invention relates to the technical field of computer software, in particular to a new energy automobile electric driving control method and device based on big data.
Background
The driving motor system is a main actuating mechanism for vehicle running, and the characteristics of the driving motor system determine main performance indexes of the vehicle, so that the dynamic property, the economical efficiency and the driving feeling of a user of the vehicle are directly influenced.
The existing electric driving control method of the new energy automobile mainly adjusts the output of a driving motor in real time according to various instructions sent by the intention of a driver so as to realize the functions of idling, going forward, backing, parking, energy recovery, slope parking and the like of the whole automobile, but all the operations can be completed by the instructions of people, and if the people do not send corresponding instructions in time, the problems are easily caused, so that the electric driving control method of the new energy automobile based on big data is urgently needed, and the new energy automobile can be automatically controlled.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
In view of the above, the invention provides a new energy vehicle electric driving control method and device based on big data, and aims to solve the technical problem that various control strategies cannot be formulated through the big data in the prior art, so that the safety of the new energy vehicle electric driving control is improved.
The technical scheme of the invention is realized as follows:
in one aspect, the invention provides a big data-based electric drive control method for a new energy vehicle, which comprises the following steps:
s1, acquiring the driving road condition information and the current driving information of the new energy automobile in real time;
s2, crawling a corresponding new energy automobile electric driving control strategy according to the driving road condition information, and generating a new energy automobile driving state table according to the current driving information of the new energy automobile;
and S3, controlling the electric drive of the new energy automobile by combining the new energy automobile driving state table according to the electric drive control strategy of the new energy automobile.
On the basis of the above technical scheme, preferably, before acquiring the driving road condition information and the current driving information of the new energy automobile in real time in step S1, the method further includes the steps of sending an instruction request to a user, and controlling the electric driving of the new energy automobile according to the user instruction when receiving the user instruction; and when the user instruction is not received, acquiring the driving road condition information and the current driving information of the new energy automobile in real time.
On the basis of the technical scheme, preferably, the method for acquiring the driving road condition information and the current driving information of the new energy automobile in real time further comprises the following steps of acquiring the driving road condition information and the current driving information of the new energy automobile in real time, wherein the driving road condition information comprises the following steps: the method comprises the following steps of driving road section types, driving road section vehicle quantity and driving road section weather information, wherein the driving road section types comprise: straight road, corner and slope, the highway section weather information of traveling includes: in sunny days, rainy days and snowing days, the current driving information of the new energy automobile comprises: energy source data in the vehicle, current vehicle speed and predicted sustainable time of the energy source.
On the basis of the above technical solution, preferably, in step S2, a corresponding new energy vehicle electric drive control strategy is crawled according to the driving road condition information, and the new energy vehicle driving state table is generated according to the current driving information of the new energy vehicle, and the method further includes the steps of constructing a driving road condition record table according to the driving road condition information, obtaining different new energy vehicle electric drive control strategies according to the driving road condition record table, then selecting a corresponding new energy vehicle electric drive control strategy meeting the new energy vehicle driving state table from the different new energy vehicle electric drive control strategies as an alternative new energy vehicle electric drive control strategy, and generating the new energy vehicle driving state table according to the current driving information of the new energy vehicle.
On the basis of the technical scheme, preferably, the new energy automobile running state table is generated according to the current running information of the new energy automobile, and the method further comprises the following steps of generating a corresponding new energy automobile running state table according to the current running information of the new energy automobile, acquiring a local vehicle energy threshold value, comparing the vehicle internal energy source data with the vehicle energy threshold value, and controlling the electric driving of the new energy automobile when the vehicle internal energy source data is larger than the vehicle energy threshold value; and when the energy source data in the vehicle is smaller than the energy source threshold value of the vehicle, generating an energy source supplement instruction and feeding back the energy source supplement instruction to the control terminal.
On the basis of the technical scheme, preferably, when the energy source data in the vehicle is smaller than the energy source threshold value of the vehicle, an energy source supplementing instruction is generated and fed back to the control terminal, and the method further comprises the following steps of waiting for the feedback of the control terminal, searching a nearby energy source supplementing platform when receiving the feedback of the control terminal, and automatically planning a control path; and when the feedback of the control terminal is not received, reminding the user of the energy supplement information.
On the basis of the above technical solution, preferably, in step S3, the new energy vehicle electric drive is controlled according to the new energy vehicle electric drive control strategy in combination with the new energy vehicle driving state table, and the method further includes the steps of generating a corresponding new energy vehicle electric drive control command according to the new energy vehicle electric drive control strategy in combination with the new energy vehicle driving state table, and controlling the new energy vehicle electric drive according to the new energy vehicle electric drive control command.
Still further preferably, the new energy vehicle electric drive control device based on big data comprises:
the acquisition module is used for acquiring the driving road condition information and the current driving information of the new energy automobile in real time;
the generating module is used for crawling a corresponding new energy automobile electric driving control strategy according to the driving road condition information and generating a new energy automobile driving state table according to the current driving information of the new energy automobile;
and the control module is used for controlling the electric drive of the new energy automobile according to the electric drive control strategy of the new energy automobile and by combining a running state table of the new energy automobile.
In a second aspect, the big data-based electric drive control method for the new energy vehicle further includes a device, where the device includes: the electric drive control method comprises a memory, a processor and a big data-based new energy vehicle electric drive control method program which is stored on the memory and can run on the processor, wherein the big data-based new energy vehicle electric drive control method program is configured to realize the steps of the big data-based new energy vehicle electric drive control method.
In a third aspect, the big-data-based electric drive control method for the new energy vehicle further includes a medium, the medium is a computer medium, the computer medium stores a big-data-based electric drive control method program for the new energy vehicle, and the big-data-based electric drive control method program, when executed by a processor, implements the steps of the big-data-based electric drive control method for the new energy vehicle.
Compared with the prior art, the new energy automobile electric driving control method based on the big data has the following beneficial effects:
(1) through big data, according to the road condition information of traveling and the current information of traveling of new energy automobile, the intelligence obtains corresponding control strategy from the network to select suitable strategy from it and control new energy automobile, can improve automobile automatic control's security, promote user experience.
(2) Through carrying out real-time detection to the energy in the car, when the energy is not enough, can acquire near energy replenishment website voluntarily and supply the car energy, improve the security of car control greatly, avoided the condition emergence of stopping suddenly in the automobile driving process simultaneously.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of an apparatus in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of an electric drive control method of a new energy vehicle based on big data according to the invention;
fig. 3 is a functional module schematic diagram of a first embodiment of the electric drive control method of the new energy vehicle based on big data.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the device, and that in actual implementations the device may include more or less components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a new energy vehicle electric drive control method program based on big data may be included in a memory 1005 as a medium.
In the device shown in fig. 1, the network interface 1004 is mainly used for establishing a communication connection between the device and a server storing all data required in the big data-based new energy vehicle electric drive control method system; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the big data-based electric drive control method device for the new energy vehicle can be arranged in the big data-based electric drive control method device for the new energy vehicle, the big data-based electric drive control method device for the new energy vehicle calls the big data-based electric drive control method program stored in the memory 1005 through the processor 1001, and the big data-based electric drive control method for the new energy vehicle is executed.
With reference to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of an electric drive control method for a new energy vehicle based on big data according to the present invention.
In this embodiment, the new energy vehicle electric drive control method based on big data includes the following steps:
s10: and acquiring the driving road condition information and the current driving information of the new energy automobile in real time.
It should be understood that the system firstly sends an instruction request to a user, and when the user instruction is received, the electric drive of the new energy automobile is controlled according to the user instruction; and when the user instruction is not received, acquiring the driving road condition information and the current driving information of the new energy automobile in real time.
It should be understood that, the system may then obtain the driving road condition information and the current driving information of the new energy vehicle in real time, where the driving road condition information includes: the method comprises the following steps of driving road section types, driving road section vehicle quantity and driving road section weather information, wherein the driving road section types comprise: straight road, corner and slope, the highway section weather information of traveling includes: in sunny days, rainy days and snowing days, the current driving information of the new energy automobile comprises: energy source data in the vehicle, current vehicle speed and predicted sustainable time of the energy source.
S20: and crawling a corresponding new energy automobile electric driving control strategy according to the driving road condition information, and generating a new energy automobile driving state table according to the current driving information of the new energy automobile.
It should be understood that the system can construct a driving road condition record table according to the driving road condition information, obtain different new energy vehicle electric driving control strategies according to the driving road condition record table, then screen out a corresponding new energy vehicle electric driving control strategy meeting the driving state table of the new energy vehicle from the different new energy vehicle electric driving control strategies as an alternative new energy vehicle electric driving control strategy, and generate the driving state table of the new energy vehicle according to the current driving information of the new energy vehicle.
It should be understood that, the system then generates a corresponding new energy automobile running state table according to the current running information of the new energy automobile, obtains a local vehicle energy threshold, compares the vehicle energy source data with the vehicle energy threshold, and controls the new energy automobile electric driving when the vehicle energy source data is greater than the vehicle energy threshold; and when the energy source data in the vehicle is smaller than the energy source threshold value of the vehicle, generating an energy source supplement instruction and feeding back the energy source supplement instruction to the control terminal.
It should be understood that when the energy is insufficient, the system waits for the feedback of the control terminal, and when the feedback of the control terminal is received, the system searches nearby energy supplementing stations and automatically plans a control path; and when the feedback of the control terminal is not received, reminding the user of the energy supplement information.
S30: and controlling the electric drive of the new energy automobile by combining the new energy automobile driving state table according to the new energy automobile electric drive control strategy.
It should be understood that, finally, the system generates a corresponding new energy vehicle electric driving control command according to the new energy vehicle electric driving control strategy and by combining with a new energy vehicle driving state table, and controls the new energy vehicle electric driving according to the new energy vehicle electric driving control command.
The above description is only for illustrative purposes and does not limit the technical solutions of the present application in any way.
Through the above description, it is not difficult to find that the present embodiment obtains the driving road condition information and the current driving information of the new energy automobile in real time; crawling a corresponding new energy automobile electric driving control strategy according to the driving road condition information, and generating a new energy automobile driving state table according to the current driving information of the new energy automobile; and controlling the electric drive of the new energy automobile by combining the new energy automobile driving state table according to the new energy automobile electric drive control strategy. The embodiment can only acquire the control strategy of thinking according to situation road conditions and automobile driving information through big data, and select the most suitable control strategy from the big data, can control the automobile energy automatically simultaneously, and the security of new energy automobile electric drive control is improved to timely supplementary energy.
In addition, the embodiment of the invention also provides a new energy automobile electric driving control device based on the big data. As shown in fig. 3, the new energy vehicle electric drive control device based on big data comprises: the device comprises an acquisition module 10, a generation module 20 and a control module 30.
The acquisition module 10 is used for acquiring the driving road condition information and the current driving information of the new energy automobile in real time;
the generating module 20 is configured to crawl a corresponding new energy vehicle electric driving control strategy according to the driving road condition information, and generate a new energy vehicle driving state table according to the current driving information of the new energy vehicle;
and the control module 30 is used for controlling the electric drive of the new energy automobile by combining the new energy automobile driving state table according to the electric drive control strategy of the new energy automobile.
In addition, it should be noted that the above-described embodiments of the apparatus are merely illustrative, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of the modules to implement the purpose of the embodiments according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment can be referred to a new energy vehicle electric drive control method based on big data provided by any embodiment of the present invention, and are not described herein again.
In addition, an embodiment of the present invention further provides a medium, where the medium is a computer medium, and the computer medium stores a new energy vehicle electric driving control method program based on big data, and when the new energy vehicle electric driving control method program based on big data is executed by a processor, the following operations are implemented:
s1, acquiring the driving road condition information and the current driving information of the new energy automobile in real time;
s2, crawling a corresponding new energy automobile electric driving control strategy according to the driving road condition information, and generating a new energy automobile driving state table according to the current driving information of the new energy automobile;
and S3, controlling the electric drive of the new energy automobile by combining the new energy automobile driving state table according to the electric drive control strategy of the new energy automobile.
Further, when being executed by the processor, the new energy vehicle electric driving control method based on big data further realizes the following operations:
sending an instruction request to a user, and controlling the electric drive of the new energy automobile according to the user instruction when the user instruction is received; and when the user instruction is not received, acquiring the driving road condition information and the current driving information of the new energy automobile in real time.
Further, when being executed by the processor, the new energy vehicle electric driving control method based on big data further realizes the following operations:
acquiring driving road condition information and current driving information of the new energy automobile in real time, wherein the driving road condition information comprises: the method comprises the following steps of driving road section types, driving road section vehicle quantity and driving road section weather information, wherein the driving road section types comprise: straight road, corner and slope, the highway section weather information of traveling includes: in sunny days, rainy days and snowing days, the current driving information of the new energy automobile comprises: energy source data in the vehicle, current vehicle speed and predicted sustainable time of the energy source.
Further, when being executed by the processor, the new energy vehicle electric driving control method based on big data further realizes the following operations:
and constructing a driving road condition recording table according to the driving road condition information, acquiring different new energy vehicle electric driving control strategies according to the driving road condition recording table, screening out a corresponding new energy vehicle electric driving control strategy meeting the driving state table of the new energy vehicle from the different new energy vehicle electric driving control strategies to serve as an alternative new energy vehicle electric driving control strategy, and generating the driving state table of the new energy vehicle according to the current driving information of the new energy vehicle.
Further, when being executed by the processor, the new energy vehicle electric driving control method based on big data further realizes the following operations:
generating a corresponding new energy automobile running state table according to the current running information of the new energy automobile, acquiring a local vehicle energy threshold, comparing the vehicle internal energy source data with the vehicle energy threshold, and controlling the new energy automobile electric driving when the vehicle internal energy source data is larger than the vehicle energy threshold; and when the energy source data in the vehicle is smaller than the energy source threshold value of the vehicle, generating an energy source supplement instruction and feeding back the energy source supplement instruction to the control terminal.
Further, when being executed by the processor, the new energy vehicle electric driving control method based on big data further realizes the following operations:
waiting for feedback of the control terminal, searching for a nearby energy supplement station and automatically planning a control path when the feedback of the control terminal is received; and when the feedback of the control terminal is not received, reminding the user of the energy supplement information.
Further, when being executed by the processor, the new energy vehicle electric driving control method based on big data further realizes the following operations:
and generating a corresponding new energy automobile electric driving control command by combining the new energy automobile driving state table according to the new energy automobile electric driving control strategy, and controlling the new energy automobile electric driving according to the new energy automobile electric driving control command.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. The new energy automobile electric driving control method based on big data is characterized by comprising the following steps: comprises the following steps;
s1, acquiring the driving road condition information and the current driving information of the new energy automobile in real time;
s2, crawling a corresponding new energy automobile electric driving control strategy according to the driving road condition information, and generating a new energy automobile driving state table according to the current driving information of the new energy automobile;
and S3, controlling the electric drive of the new energy automobile by combining the new energy automobile driving state table according to the electric drive control strategy of the new energy automobile.
2. The big-data-based electric drive control method for the new energy automobile as claimed in claim 1, characterized in that: in step S1, before acquiring the driving road condition information and the current driving information of the new energy vehicle in real time, the method further includes the steps of sending an instruction request to a user, and controlling the electric driving of the new energy vehicle according to the user instruction when receiving the user instruction; and when the user instruction is not received, acquiring the driving road condition information and the current driving information of the new energy automobile in real time.
3. The big-data-based electric drive control method for the new energy automobile as claimed in claim 2, characterized in that: the method comprises the following steps of acquiring the driving road condition information and the current driving information of the new energy automobile in real time, and acquiring the driving road condition information and the current driving information of the new energy automobile in real time, wherein the driving road condition information comprises the following steps: the method comprises the following steps of driving road section types, driving road section vehicle quantity and driving road section weather information, wherein the driving road section types comprise: straight road, corner and slope, the highway section weather information of traveling includes: in sunny days, rainy days and snowing days, the current driving information of the new energy automobile comprises: energy source data in the vehicle, current vehicle speed and predicted sustainable time of the energy source.
4. The big-data-based electric drive control method for the new energy automobile as claimed in claim 3, characterized in that: in step S2, a new energy vehicle electric drive control strategy corresponding to the driving road condition information is crawled, and a new energy vehicle driving state table is generated according to the current driving information of the new energy vehicle, and the method further includes the following steps of constructing a driving road condition record table according to the driving road condition information, obtaining different new energy vehicle electric drive control strategies according to the driving road condition record table, then selecting a new energy vehicle electric drive control strategy corresponding to the new energy vehicle driving state table from the different new energy vehicle electric drive control strategies as an alternative new energy vehicle electric drive control strategy, and generating the new energy vehicle driving state table according to the current driving information of the new energy vehicle.
5. The big-data-based electric drive control method for the new energy automobile as claimed in claim 4, wherein: generating a new energy automobile running state table according to the current running information of the new energy automobile, and further comprising the following steps of generating a corresponding new energy automobile running state table according to the current running information of the new energy automobile, acquiring a local vehicle energy threshold value, comparing vehicle internal energy source data with the vehicle energy threshold value, and controlling the electric driving of the new energy automobile when the vehicle internal energy source data is greater than the vehicle energy threshold value; and when the energy source data in the vehicle is smaller than the energy source threshold value of the vehicle, generating an energy source supplement instruction and feeding back the energy source supplement instruction to the control terminal.
6. The big-data-based electric drive control method for the new energy automobile as claimed in claim 5, wherein: when the energy source data in the vehicle is smaller than the energy source threshold value of the vehicle, generating an energy source supplementing instruction and feeding back the energy source supplementing instruction to the control terminal, and the method also comprises the following steps of waiting for the feedback of the control terminal, searching a nearby energy source supplementing platform when receiving the feedback of the control terminal, and automatically planning a control path; and when the feedback of the control terminal is not received, reminding the user of the energy supplement information.
7. The big-data-based electric drive control method for the new energy automobile as claimed in claim 6, wherein: and step S3, controlling the electric drive of the new energy vehicle by combining the new energy vehicle driving state table according to the new energy vehicle electric drive control strategy, and further comprising the following steps of generating a corresponding new energy vehicle electric drive control command by combining the new energy vehicle driving state table according to the new energy vehicle electric drive control strategy, and controlling the electric drive of the new energy vehicle according to the new energy vehicle electric drive control command.
8. The big data-based electric driving control device for the new energy automobile is characterized by comprising the following components:
the acquisition module is used for acquiring the driving road condition information and the current driving information of the new energy automobile in real time;
the generating module is used for crawling a corresponding new energy automobile electric driving control strategy according to the driving road condition information and generating a new energy automobile driving state table according to the current driving information of the new energy automobile;
and the control module is used for controlling the electric drive of the new energy automobile according to the electric drive control strategy of the new energy automobile and by combining a running state table of the new energy automobile.
9. An apparatus, characterized in that the apparatus comprises: the electric drive control method for the new energy vehicle based on the big data comprises a memory, a processor and a program stored on the memory and capable of running on the processor, wherein the program is configured to realize the steps of the electric drive control method for the new energy vehicle based on the big data according to any one of claims 1 to 7.
10. A medium, characterized in that the medium is a computer medium, on which a big data based new energy vehicle electric drive control method program is stored, which when executed by a processor implements the steps of the big data based new energy vehicle electric drive control method according to any of claims 1 to 7.
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| CN107487331A (en) * | 2016-09-19 | 2017-12-19 | 宝沃汽车（中国）有限公司 | A kind of control method for vehicle, car-mounted terminal and vehicle control system |
| CN111038488A (en) * | 2018-10-12 | 2020-04-21 | 郑州宇通客车股份有限公司 | Energy optimization control method and device for hybrid electric vehicle |
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