CN110738364A - electric automobile charging navigation information interaction platform - Google Patents
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- CN110738364A CN110738364A CN201910942868.6A CN201910942868A CN110738364A CN 110738364 A CN110738364 A CN 110738364A CN 201910942868 A CN201910942868 A CN 201910942868A CN 110738364 A CN110738364 A CN 110738364A
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- 238000007726 management method Methods 0.000 description 23
- 238000005516 engineering process Methods 0.000 description 4
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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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
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- 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
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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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
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Abstract
The invention discloses an electric vehicle charging navigation information interaction platform, which comprises a charging pile state query management system, an electric vehicle state feedback system, a vehicle position information management system, a driving strategy navigation system, a big data analysis system and a charging strategy suggestion system, wherein an electric vehicle user and an information interaction platform are combined with the existing traffic data of a traffic management part , the traffic information of each intersection, the use state of a charging station and the driving data of a morning and evening rush hour are brought into the information interaction platform for processing, and the optimal driving path and the charging strategy of an electric vehicle are provided for the electric vehicle user in real time according to the existing traffic conditions.
Description
Technical Field
The invention belongs to the technical field of intelligent traffic, and particularly relates to an electric vehicle charging navigation information interaction platform which is convenient for scheduling electric vehicle charging routes and charging strategies, combines urban real-time traffic data, reasonably arranges charging piles, is convenient for relieving urban traffic pressure, and is convenient for users to intelligently select traffic routes.
Background
Under the background of the scientific and technological strategy of electric automobiles vigorously pursued by the state, electric automobiles (EV) will gradually and comprehensively replace fuel automobiles, and better serve the electric automobiles with the advantages of business, transportation and tourism, resource conservation and environmental friendliness, and the development of the automobile industry and the human society becomes imperative.
On a complex urban road, the problems of road congestion, charging pile queuing and selection of a driving route are required to be considered in the driving of the electric automobile, and in order to relieve the decision trouble of driving and charging of a user, reduce the heavy traffic pressure of a city, avoid traffic congestion and carry out optimization and policy adjustment of charging pile layout more reasonably, it is necessary to establish an intelligent charging navigation system for the electric automobile.
When the electric automobile user drives on a road, the optimal path is difficult to select to reach the destination, road congestion exists, the charging pile queues and waits, and other factors exist, a mathematical model can be constructed by combining the time cost and the economic cost of the user, and the optimal driving path and the charging strategy can be found. Aiming at short boards such as a small battery storage capacity and an unsatisfactory driving mileage of the electric automobile, the charging station needs to be arranged in a reasonable place to meet the charging requirement of the electric automobile from time to time by considering the aspects of infrastructure and the like. The intelligent charging navigation key technology for the electric automobile is researched, a driving route is reasonably set for an electric automobile user, an intelligent strategy is provided for selection of charging nodes, and time cost and economic cost are reduced. No matter how much the technological progress promotes the development of the battery technology, it is necessary to optimize the driving strategy from the perspective of intelligent charging and navigation. For the intelligent charging system of the electric vehicle, the intelligent charging navigation traffic system of the electric vehicle also needs to utilize real traffic data to carry out reasonable optimal configuration on places where the charging pile is needed to be installed or added, so that the driving smoothness of electric vehicle users is ensured, and the charging queuing time is reduced.
In a complex road system, the electric automobile in long-distance driving needs to be charged timely to ensure that the electric automobile runs to a destination in an abundant manner. The user of the electric automobile needs to select a proper path to drive in the driving of the traffic network, and a proper charging pile needs to be selected for charging. The EV user may encounter situations of road congestion, full charging pile, path decision error and the like, so that the research on the intelligent charging navigation traffic information interaction platform of the electric automobile is very necessary, the EV user is helped to save driving time and economic cost, and the method has great practical significance. The intelligent charging navigation traffic platform for the electric automobile can manage the overall state of the charging pile, collect vehicle data of the running EV, and provide real-time intelligent vehicle navigation by combining with an actual traffic network. The key technology for researching the intelligent charging of the electric automobile has great significance for implementing national electric automobile science and technology strategies, promoting the industrial structure upgrading of the automobile industry and the electric transformation of a power system, cultivating and developing the society of the electric automobile, and can be summarized as follows:
(1) providing EV user intelligent driving path navigation and an optimal charging strategy;
(2) providing a system scheduling function, reducing the congestion risk of the EV system, providing intelligent system traffic scheduling and real-time path navigation;
(3) the intelligent system information interaction platform is provided, the intelligent system information interaction platform is communicated with the actual traffic data of the traffic management part , the traffic data are processed in big data analysis, a charging pile construction policy which is more in line with the actual situation can be formulated, the pressure of the traffic management part on road congestion is reduced, and the intelligent system information interaction platform has great significance for building a harmonious electric automobile society.
Disclosure of Invention
The invention aims to provide electric vehicle charging navigation information interaction platforms aiming at the problems that Electric Vehicle (EV) users suffer from road congestion, full charging piles and path decision errors.
In the invention, the EV user and the information interaction platform are combined with the traffic data of the existing traffic management part , the traffic information of each intersection, the use state of a charging station and the driving data of the morning and evening rush hour are brought into the information interaction platform for processing, and the optimal driving path and the charging strategy of the EV system are provided for the EV user in real time according to the existing traffic condition.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the system comprises a charging pile state query management system, an electric vehicle state feedback system, a vehicle position information management system, a driving strategy navigation system, a big data analysis system and a charging strategy suggestion system.
The charging pile state query management system interacts with the charging pile to acquire charging pile data; the charging pile data comprise the model of the charging pile, charging power, charging pricing, the using state of the charging pile and the position information of the charging pile.
The electric automobile state feedback system is installed on an electric automobile, the electric automobile power storage quantity and the electric automobile running speed are sent to the information interaction platform in real time, when the electric automobile power storage quantity reaches a minimum charging pile dangerous distance valve, early warning can be given, and an EV user is reminded to go to charge the charging pile.
The vehicle position information management system positions the position of the electric vehicle in real time, analyzes the traffic jam conditions of the vehicles at the early and late peaks through the big data analysis system, and navigates the vehicles at the early and late peaks, so that the jam risk of a traffic road is reduced, and the urban traffic pressure is relieved.
The driving strategy navigation system adopts Dijkstra algorithm, finds the optimal driving route of the vehicle from the current position to the destination according to the real-time position information of the electric vehicle acquired by the vehicle position information management system, collects the real-time information of the vehicle load state, the vehicle position information and the charging pile state information of the electric vehicle by combining with the intelligent charging navigation traffic system of the electric vehicle, and updates the charging scheme of the driving in time through the big data analysis system.
The big data analysis system is in butt joint and sharing with traffic data of the traffic management department , road traffic flow and charging pile use conditions in different time periods are analyzed according to real-time traffic data and charging pile data, congestion peaks are judged, and the optimal driving route of the vehicle is updated in real time by combining with a driving strategy navigation system.
The charging strategy suggesting system is combined with the driving strategy navigation system and the big data analysis system, charging pile data obtained by the charging pile state query management system are inquired according to the electric automobile power storage quantity sent by the electric automobile state feedback system, a charging strategy is intelligently decided, and charging queuing congestion is avoided or a relatively economic charging strategy is selected.
And , the charging pile state query management system, the electric vehicle state feedback system, the vehicle position information management system, the driving strategy navigation system, the big data analysis system and the charging strategy suggestion system are all in modular design.
The invention has the following beneficial effects:
the information interaction platform can collect position information and state information of system vehicles and use information of charging piles in each time period to carry out big data analysis, the vehicles needing to be charged are locked in each time period and different road environments, the charging piles are arranged in main places which cannot meet the charging requirements, the layout of the charging piles is optimized, and road congestion is avoided.
Drawings
FIG. 1 is a logical framework diagram of the information interaction platform of the present invention.
Detailed Description
The invention is further illustrated in the following description with reference to the figures and examples.
As shown in fig. 1, the information interaction platform of the present invention includes a charging pile state query management system, an electric vehicle state feedback system, a vehicle position information management system, a driving strategy navigation system, a big data analysis system, and a charging strategy suggestion system.
The EV user can automatically provide a reliable charging strategy by analyzing the use state and the pricing of each charging pile in the driving process through an information interaction platform, and the traffic management part can also know the use condition of the charging piles in time through the system and know whether faults exist so as to eliminate the faults in time.
The electric automobile state feedback system is installed on an electric automobile, the electric automobile power storage quantity and the electric automobile running speed are sent to the information interaction platform in real time, when the electric automobile power storage quantity reaches a dangerous distance valve of a nearest charging pile, early warning can be given out, and an EV user is reminded to go to charge the charging pile. The traffic management part can conveniently control the state of the vehicle in real time, big data analysis is carried out according to the electric vehicle information interaction platform, and planning of a vehicle route and a charging strategy is carried out more carefully.
The vehicle position information management system positions the electric vehicle in real time, and analyzes the traffic jam conditions of the vehicles at the early and late peaks through the big data analysis system, so that the vehicles are navigated at the early and late peaks, the jam risk of the main traffic roads is reduced, and the urban traffic pressure is relieved.
The driving strategy navigation system adopts Dijkstra algorithm, finds the optimal driving route from the current position to the destination according to the real-time position information of the electric vehicle acquired by the vehicle position information management system, and timely updates the driving charging scheme by combining the real-time information such as the vehicle load state, the vehicle position information and the charging pile state information (the capacity and the occupied state of the charging system) of the electric vehicle acquired by the intelligent charging navigation traffic system of the electric vehicle through the big data analysis system.
The big data analysis system is in butt joint and sharing with traffic data of the traffic management department , road traffic flow and charging pile service conditions in different time periods are analyzed according to real-time traffic data and charging pile data, congestion peaks are judged, and the optimal driving route of the vehicle is updated in real time by combining with a driving strategy navigation system.
The charging strategy suggesting system is combined with the driving strategy navigation system and the big data analysis system, charging pile data obtained by the charging pile state query management system are inquired according to the electric automobile power storage quantity sent by the electric automobile state feedback system, a charging strategy is intelligently decided, and charging queuing congestion is avoided or a relatively economic charging strategy is selected.
All subsystems are in modular design, so that deployment through a cloud service big data platform is facilitated, and seamless hot updating can be performed.
The specific implementation steps are as follows:
the charging management system comprises an electric vehicle charging navigation information interaction platform, a charging pile inquiry system, an electric vehicle state feedback system, a traffic data analysis system, a traffic management part , a traffic strategy decision making system, a charging pile management system, a charging point information interaction platform, a charging point information feedback system, a charging point information interaction platform, a charging point information feedback system, a charging point information interaction platform, a charging point information feedback system, a charging point information feedback system, a charging.
The electric automobile charging navigation information interaction platform can collect position information and state information of system vehicles and use information of charging piles in each time period, big data analysis is carried out, vehicles needing to be charged are locked in different road environments in each time period, the charging piles are arranged in main places which cannot meet charging requirements, the layout of the charging piles is optimized, and road congestion is avoided.
Claims (2)
1, kinds of electric automobile navigation information interaction platform that charges, its characterized in that:
the system comprises a charging pile state query management system, an electric vehicle state feedback system, a vehicle position information management system, a driving strategy navigation system, a big data analysis system and a charging strategy suggestion system;
the charging pile state query management system interacts with the charging pile to acquire charging pile data; the charging pile data comprises the model of the charging pile, charging power, charging pricing, the using state of the charging pile and position information of the charging pile;
the electric automobile state feedback system is installed on an electric automobile, the electric automobile storage capacity and the electric automobile running speed are sent to the information interaction platform in real time, and when the electric automobile storage capacity reaches a minimum charging pile danger distance valve, early warning is given to remind an EV user of charging a charging pile;
the vehicle position information management system positions the position of the electric vehicle in real time, analyzes the congestion conditions of vehicles at the early and late peaks through the big data analysis system, and navigates the vehicles at the early and late peaks, so that the congestion risk of a traffic road is reduced, and the urban traffic pressure is relieved;
the driving strategy navigation system adopts Dijkstra algorithm, finds the optimal driving route of the vehicle from the current position to the destination according to the real-time position information of the electric vehicle acquired by the vehicle position information management system, collects the real-time information of the vehicle load state, the vehicle position information and the charging pile state information of the electric vehicle by combining with the intelligent charging navigation traffic system of the electric vehicle, and updates the charging scheme of the driving in time through the big data analysis system;
the big data analysis system is in butt joint and sharing with traffic data of a traffic management part , road traffic flow and charging pile use conditions in different time periods are analyzed according to real-time traffic data and charging pile data, congestion peaks are judged, and an optimal driving route of a vehicle is updated in real time by combining a driving strategy navigation system;
the charging strategy suggesting system is combined with the driving strategy navigation system and the big data analysis system, charging pile data obtained by the charging pile state query management system are inquired according to the electric automobile power storage quantity sent by the electric automobile state feedback system, a charging strategy is intelligently decided, and charging queuing congestion is avoided or a relatively economic charging strategy is selected.
2. The electric vehicle charging navigation information interaction platform of claim 1, wherein the charging pile state query management system, the electric vehicle state feedback system, the vehicle position information management system, the driving strategy navigation system, the big data analysis system and the charging strategy recommendation system are all of modular design.
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| CN201910942868.6A CN110738364A (en) | 2019-09-30 | 2019-09-30 | electric automobile charging navigation information interaction platform |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111337960A (en) * | 2020-03-27 | 2020-06-26 | 南京普斯迪尔电子科技有限公司 | Electric automobile fills accurate positioning system of electric pile based on big data analysis technique |
| CN111397620A (en) * | 2020-05-29 | 2020-07-10 | 广东工业大学 | Electric vehicle charging navigation method and system in fast charging/slow charging mode |
| CN111417149A (en) * | 2020-02-27 | 2020-07-14 | 上海易沐科技有限公司 | Electric vehicle, charging pile and channel selection method for wireless communication |
| CN112115350A (en) * | 2020-08-27 | 2020-12-22 | 上海电享信息科技有限公司 | Smart city charging intelligent recommendation method and system |
| CN113012460A (en) * | 2021-02-24 | 2021-06-22 | 华录智达科技股份有限公司 | Single-line bus charging control system and method |
| CN114161979A (en) * | 2021-12-06 | 2022-03-11 | 国网天津市电力公司 | Comprehensive management system for electric vehicle battery |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111417149A (en) * | 2020-02-27 | 2020-07-14 | 上海易沐科技有限公司 | Electric vehicle, charging pile and channel selection method for wireless communication |
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| CN111337960A (en) * | 2020-03-27 | 2020-06-26 | 南京普斯迪尔电子科技有限公司 | Electric automobile fills accurate positioning system of electric pile based on big data analysis technique |
| CN111397620A (en) * | 2020-05-29 | 2020-07-10 | 广东工业大学 | Electric vehicle charging navigation method and system in fast charging/slow charging mode |
| CN111397620B (en) * | 2020-05-29 | 2023-04-25 | 广东工业大学 | Electric vehicle charging navigation method and system in fast charging/slow charging mode |
| CN112115350A (en) * | 2020-08-27 | 2020-12-22 | 上海电享信息科技有限公司 | Smart city charging intelligent recommendation method and system |
| CN113012460A (en) * | 2021-02-24 | 2021-06-22 | 华录智达科技股份有限公司 | Single-line bus charging control system and method |
| CN113012460B (en) * | 2021-02-24 | 2022-03-11 | 华录智达科技股份有限公司 | Single-line bus charging control system and method |
| CN114161979A (en) * | 2021-12-06 | 2022-03-11 | 国网天津市电力公司 | Comprehensive management system for electric vehicle battery |
| CN114161979B (en) * | 2021-12-06 | 2023-09-29 | 国网天津市电力公司 | Comprehensive management system for electric automobile battery |
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