CN106200518A - A kind of frequency self-adaption method of electric-vehicle remote monitoring system - Google Patents
A kind of frequency self-adaption method of electric-vehicle remote monitoring system Download PDFInfo
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- CN106200518A CN106200518A CN201510213759.2A CN201510213759A CN106200518A CN 106200518 A CN106200518 A CN 106200518A CN 201510213759 A CN201510213759 A CN 201510213759A CN 106200518 A CN106200518 A CN 106200518A
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Abstract
The invention provides the frequency self-adaption method of a kind of electric-vehicle remote monitoring system, described frequency self-adaption method comprises the steps: 1) gathered the status data in electric automobile by the information acquisition module of car-mounted terminal by CAN；Vehicle location monitoring data are obtained by the geographical position communication module of self by car-mounted terminal；2) the described status data gathered and described vehicle location monitoring data are sent to information of vehicles Surveillance center by wireless network by the wireless communication transmissions module of car-mounted terminal；3) status data and the vehicle location of the vehicle that information of vehicles Surveillance center obtains monitors data, and status data and vehicle location are monitored data be analyzed, how judge electric automobile whole and motor whether normal operation battery service condition, and electric automobile present position.The present invention solves the contradiction between data volume and data management, can as vehicle alarming system supplement, car load data are monitored analyze.
Description
Technical field
In general, the field of the invention relates to automatization, more specifically for, relate to electronic
The frequency self-adaption method of automobile remote monitoring system.
Background technology
Electric automobile is as a kind of automobile with clean energy resource as power, and development prospect is not allowed suddenly
Depending on.Whether the power performance of electric automobile, economic performance and security performance can meet society
Demand.Electric-vehicle remote monitoring system has huge pushing away to the industrialized development of electric automobile
Action is used.
In order to obtain useful data further, strengthen the monitoring of the fault data to electric automobile,
The adaptive electric-vehicle remote monitoring system of failure-frequency solves further, data volume sum
According to the contradiction between management, it it is the monitoring more specific aim of electric automobile.
Meanwhile, this system can as vehicle alarming system supplement, car load data are monitored
Analyze, find the problem that independent warning system can't find.This system is conducive to exploring sets up system
The fault database of one, failure modes various to electric automobile are analyzed.Be conducive to setting up electronic vapour
Car early warning failure mechanism, the industrialization to electric automobile has far-reaching influence.
Summary of the invention
In order to obtain useful data further, strengthen the monitoring of the fault data to electric automobile,
The invention provides the frequency self-adaption method of a kind of electric-vehicle remote monitoring system, described frequency
Rate adaptive approach comprises the steps: 1) passed through by the information acquisition module of car-mounted terminal
CAN gathers whole-control system, electric machine control system and the cell tube in electric automobile
Status data in reason system, described status data includes full-vehicle control status data, motor control
System data processed and battery controlled state data；Led to by the geographical position of self by car-mounted terminal
Letter module) obtain vehicle location monitoring data；2) by the wireless communication transmissions mould of car-mounted terminal
The described status data gathered and described vehicle location monitoring data are sent out by block by wireless network
Deliver to information of vehicles Surveillance center；3) the described shape of the vehicle that information of vehicles Surveillance center obtains
State data and described vehicle location monitoring data, and to described status data and described vehicle position
Put monitoring data to be analyzed, judge electric automobile whole and motor whether normal operation, when
Front battery service condition how, and current power automobile present position, thus realizes electricity
The real-time monitoring of electrical automobile；Wherein: if car-mounted terminal finds vehicle trouble, car-mounted terminal will
Vehicle trouble classification, and adjust data upload frequencies according to fault level；If information of vehicles is supervised
Control center finds vehicle trouble, first examines to car-mounted terminal, subsequently according to failure condition,
Adjust instruction automatically to car-mounted terminal downward message transmission frequency, and adjust in the data to vehicle
Pass frequency, thus realize electric automobile and the mutual of information of vehicles Surveillance center data frequency reality
The now real-time monitoring to electric automobile.
As further illustrating of the described frequency self-adaption method to the present invention, it is preferable that electricity
Electrical automobile is adaptive according to travel condition of vehicle with the frequency of information of vehicles Surveillance center data interaction
Should adjust.
As further illustrating of the described frequency self-adaption method to the present invention, it is preferable that car
The state active accommodation data upload frequencies that mounted terminal runs according to vehicle.
As further illustrating of the described frequency self-adaption method to the present invention, it is preferable that car
Information monitoring center needs actively to arrange the frequency of data interaction according to management.
As further illustrating of the described frequency self-adaption method to the present invention, it is preferable that car
Fault is according to travel condition of vehicle classification, and sets up unified fault level standard, the most at the same level
Other fault corresponding different sampling period.
As further illustrating of the described frequency self-adaption method to the present invention, it is preferable that car
Mounted terminal fault management has unified message form.
As further illustrating of the described frequency self-adaption method to the present invention, it is preferable that car
The failure criterion of mounted terminal is obtained by information of vehicles Surveillance center.
As further illustrating of the described frequency self-adaption method to the present invention, it is preferable that therefore
Barrier grade and the data upload frequencies of correspondence thereof, by information of vehicles, Surveillance center sets.
As further illustrating of the described frequency self-adaption method to the present invention, it is preferable that car
The fault database at information monitoring center configures as required.
As further illustrating of the described frequency self-adaption method to the present invention, it is preferable that institute
State wireless network and include with one of lower network: GPRS, 3G, LTE, WIMAX, WIFI
Network.
The frequency self-adaption method of the electric-vehicle remote monitoring system of the present invention solves further
Contradiction between data volume and data management, is the monitoring more specific aim of electric automobile.With
Time, this system can as vehicle alarming system supplement, car load data are monitored analyze,
Find the problem that independent warning system can't find.This system is conducive to exploring sets up unified event
Barrier storehouse, failure modes various to electric automobile are analyzed.Be conducive to setting up electric automobile to lose efficacy
Early warning mechanism, the industrialization to electric automobile has far-reaching influence.
Accompanying drawing explanation
Fig. 1 represents that the electric-vehicle remote monitoring system of the present invention realizes frequency self-adaption method
Flow chart；
Fig. 2 represents that the frequency self-adaption method of the electric-vehicle remote monitoring system of the present invention exists
Position in system and effect schematic diagram.
Description of reference numerals is as follows:
Information of vehicles Surveillance center (1), car-mounted terminal (2), geographical position communication module (21),
Wireless communication transmissions module (22) information acquisition module (23), electric automobile (3), battery
Management system (31), electric machine control system (32), whole-control system (33).
Detailed description of the invention
In order to enable auditor to further appreciate that the structure of the present invention, feature and other purposes,
It is accompanied by accompanying drawing in conjunction with appended preferred embodiment and describes in detail as follows, the enforcement illustrated by this accompanying drawing
Example is merely to illustrate technical scheme, and the non-limiting present invention.
First, refer to the electric-vehicle remote monitoring system that Fig. 1, Fig. 1 are the present invention realize
The flow chart of frequency self-adaption method.As it is shown in figure 1, the electric automobile of invention remotely monitors system
The overall architecture figure of system, indicates position and the effect of adaptive algorithm, and electric automobile is supervised in real time
Ore-controlling Role by electric automobile collection of data in running, analyze and process, thus
Whole vehicle state, battery status and the vehicle location of electric automobile is monitored.The electricity of the present invention
The workflow of the frequency self-adaption method of electrical automobile long distance control system comprises the steps:
1, information is obtained: passed through CAN by the information acquisition module 23 of car-mounted terminal 2
Gather whole-control system 33, electric machine control system 32 and the battery management in electric automobile 3
Status data in system 31, described status data includes full-vehicle control status data, motor
Control system data and battery controlled state data；By the car-mounted terminal 2 geographical position by self
Put communication module 21 and obtain vehicle location monitoring data.
2, monitoring data are remotely sent: led to by the wireless communication transmissions module 22 of car-mounted terminal 2
Cross wireless network the described status data gathered and described vehicle location monitoring data to be sent extremely
Information of vehicles Surveillance center 1.
3, Surveillance center obtains and analysis monitoring data: information of vehicles Surveillance center 1 obtains
The described status data of vehicle and described vehicle location monitoring data, and to described status data
It is analyzed with described vehicle location monitoring data, judges whether are electric automobile whole and motor
How are normal operation, current battery service condition, and current power automobile present position,
Thus realize the real-time monitoring to electric automobile.Wherein, if car-mounted terminal 2 finds vehicle event
Barrier car-mounted terminal 2 adjusts data upload frequencies by vehicle trouble classification and according to fault level；
If information of vehicles Surveillance center 1 finds vehicle trouble, first examine to car-mounted terminal 2,
Subsequently according to failure condition, adjust instruction automatically to car-mounted terminal 2 downward message transmission frequency,
And adjust the data upload frequencies to vehicle, thus realize electric automobile 3 and monitor with information of vehicles
Center 1 data frequency mutual also realizes the real-time monitoring to electric automobile.
Additionally, the electric-vehicle remote monitoring system of the present invention realizes in frequency self-adaption method,
The frequency of electric automobile 3 and information of vehicles Surveillance center 1 data interaction is according to travel condition of vehicle
Self-adaptative adjustment.Car-mounted terminal 2 uploads frequency according to the state active accommodation data that vehicle runs
Rate.Information of vehicles Surveillance center 1 needs actively to arrange the frequency of data interaction according to management.
The electric-vehicle remote monitoring system of the present invention realizes in frequency self-adaption method, vehicle event
Barrier according to travel condition of vehicle classification, and can set up unified fault level standard, the most at the same level
Other fault corresponding different sampling period.Car-mounted terminal 2 fault management has unified message
Form.The failure criterion of car-mounted terminal 2 is obtained by information of vehicles Surveillance center 1.Fault etc.
Level and the data upload frequencies of correspondence thereof, set by information of vehicles Surveillance center 1.Vehicle is believed
The fault database of breath Surveillance center 1 configures as required.
Wherein, the described wireless network of the electric-vehicle remote monitoring system of the present invention includes following
One of network: GPRS, 3G, LTE, WIMAX, WIFI network.
In a word, car-mounted terminal 2 accepts electric automobile monitoring system failure sorted configuration information, connects
By vehicle trouble messages, and vehicle trouble is carried out classification, and determine in data by fault rank
The biography cycle.Information of vehicles Surveillance center 1 sets up vehicle trouble storehouse, and manages failure sorted；
According to the information of vehicles accepted, analyze vehicle trouble；Check with car-mounted terminal after finding fault；
Arrange data to upload the cycle, and improve fault database.
The frequency self-adaption method of the electric-vehicle remote monitoring system of the present invention solves further
Contradiction between data volume and data management, meanwhile, this system can be as vehicle alarming system
Supplement, car load data are monitored analyze, effectively establish electric automobile early warning failure
Mechanism.
Claims (10)
1. a frequency self-adaption method for electric-vehicle remote monitoring system, described frequency is certainly
Adaptive method comprises the steps:
1) gathered by CAN by the information acquisition module (23) of car-mounted terminal (2)
Whole-control system (33), electric machine control system (32) and battery in electric automobile (3)
Status data in management system (31), described status data include full-vehicle control status data,
Electric machine control system data and battery controlled state data；By car-mounted terminal (2) by self
Geographical position communication module (21) obtain vehicle location monitoring data；
2) being passed through wireless network by the wireless communication transmissions module (22) of car-mounted terminal (2) will
The described status data gathered and described vehicle location monitoring data send to information of vehicles monitoring
Center (1)；
3) the described status data of the vehicle that information of vehicles Surveillance center (1) obtains and described car
Monitoring position data, and described status data and described vehicle location are monitored data carry out
Analyze, judge that electric automobile whole and motor whether normal operation, current battery use feelings
Condition how, and current power automobile present position, thus realizes the real-time prison to electric automobile
Control；Wherein: if car-mounted terminal (2) finds vehicle trouble, car-mounted terminal (2) is by vehicle
Failure sorted, and adjust data upload frequencies according to fault level；If in information of vehicles monitoring
The heart (1) finds vehicle trouble, first examines, subsequently according to fault to car-mounted terminal (2)
Situation, automatically give car-mounted terminal (2) downward message transmission frequency adjust instruction, and adjust right
The data upload frequencies of vehicle, thus realize electric automobile (3) and information of vehicles Surveillance center
(1) data frequency mutual realize the real-time monitoring to electric automobile.
2. frequency self-adaption method as claimed in claim 1, it is characterised in that electronic vapour
The frequency of car (3) and information of vehicles Surveillance center (1) data interaction is according to travel condition of vehicle
Self-adaptative adjustment.
3. frequency self-adaption method as claimed in claim 1, it is characterised in that vehicle-mounted end
The state active accommodation data upload frequencies that end (2) runs according to vehicle.
4. frequency self-adaption method as claimed in claim 1, it is characterised in that vehicle is believed
Breath Surveillance center (1) needs actively to arrange the frequency of data interaction according to management.
5. frequency self-adaption method as claimed in claim 1, it is characterised in that vehicle event
Barrier is according to travel condition of vehicle classification, and sets up unified fault level standard, different stage
The fault corresponding different sampling period.
6. frequency self-adaption method as claimed in claim 1, it is characterised in that vehicle-mounted end
End (2) fault management has unified message form.
7. frequency self-adaption method as claimed in claim 1, it is characterised in that vehicle-mounted end
The failure criterion of end (2) is obtained by information of vehicles Surveillance center (1).
8. frequency self-adaption method as claimed in claim 3, it is characterised in that fault etc.
Level and the data upload frequencies of correspondence thereof, set by information of vehicles Surveillance center (1).
9. frequency self-adaption method as claimed in claim 1, it is characterised in that vehicle is believed
The fault database of breath Surveillance center (1) configures as required.
10. frequency self-adaption method as claimed in claim 1, it is characterised in that described nothing
Gauze network includes with one of lower network: GPRS, 3G, LTE, WIMAX, WIFI network.
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| CN201510213759.2A CN106200518A (en) | 2015-04-29 | 2015-04-29 | A kind of frequency self-adaption method of electric-vehicle remote monitoring system |
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| CN201510213759.2A CN106200518A (en) | 2015-04-29 | 2015-04-29 | A kind of frequency self-adaption method of electric-vehicle remote monitoring system |
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Cited By (12)
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| CN106941395A (en) * | 2017-03-06 | 2017-07-11 | 东南大学 | A kind of vehicle carried pick device and localization method |
| CN107682451A (en) * | 2017-10-31 | 2018-02-09 | 中冶华天工程技术有限公司 | A kind of remote information transmission method |
| CN109147086A (en) * | 2017-06-19 | 2019-01-04 | 通用汽车环球科技运作有限责任公司 | For generating the method and system of the prognosis information about the component in vehicle |
| CN109240272A (en) * | 2018-11-02 | 2019-01-18 | 安克创新科技股份有限公司 | Vehicle-mounted monitoring equipment, data processing system, subscriber terminal equipment and vehicle monitoring method |
| CN109861388A (en) * | 2018-12-20 | 2019-06-07 | 江苏迪纳数字科技股份有限公司 | A kind of long-distance monitoring method of vehicle intelligent terminal |
| CN109873843A (en) * | 2017-12-01 | 2019-06-11 | 郑州宇通客车股份有限公司 | A kind of new-energy automobile |
| CN110111446A (en) * | 2019-01-25 | 2019-08-09 | 东北大学 | A kind of adaptive acquisition system of high-speed rail train data and method based on operating condition |
| CN110275510A (en) * | 2019-06-14 | 2019-09-24 | 百度在线网络技术（北京）有限公司 | Processing frequency method of adjustment, device and the electronic equipment of vehicle control model |
| CN111459755A (en) * | 2020-03-27 | 2020-07-28 | 海信视像科技股份有限公司 | Log file output control method and device based on EMMC life value |
| CN112462678A (en) * | 2020-11-19 | 2021-03-09 | 上海卡鲁自动化科技有限公司 | Vehicle-mounted remote monitoring method for super-capacitor passenger car |
| CN113347279A (en) * | 2021-08-09 | 2021-09-03 | 天津所托瑞安汽车科技有限公司 | Method and system for transmitting vehicle driving data |
| CN113411754A (en) * | 2018-05-10 | 2021-09-17 | 华为技术有限公司 | Method for sending message and related equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106941395A (en) * | 2017-03-06 | 2017-07-11 | 东南大学 | A kind of vehicle carried pick device and localization method |
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| CN109147086A (en) * | 2017-06-19 | 2019-01-04 | 通用汽车环球科技运作有限责任公司 | For generating the method and system of the prognosis information about the component in vehicle |
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| CN109873843A (en) * | 2017-12-01 | 2019-06-11 | 郑州宇通客车股份有限公司 | A kind of new-energy automobile |
| CN113411754A (en) * | 2018-05-10 | 2021-09-17 | 华为技术有限公司 | Method for sending message and related equipment |
| CN109240272A (en) * | 2018-11-02 | 2019-01-18 | 安克创新科技股份有限公司 | Vehicle-mounted monitoring equipment, data processing system, subscriber terminal equipment and vehicle monitoring method |
| CN109240272B (en) * | 2018-11-02 | 2022-04-29 | 安克创新科技股份有限公司 | Vehicle-mounted monitoring device, data processing system, user terminal device and vehicle monitoring method |
| CN109861388A (en) * | 2018-12-20 | 2019-06-07 | 江苏迪纳数字科技股份有限公司 | A kind of long-distance monitoring method of vehicle intelligent terminal |
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| CN110111446A (en) * | 2019-01-25 | 2019-08-09 | 东北大学 | A kind of adaptive acquisition system of high-speed rail train data and method based on operating condition |
| CN110275510A (en) * | 2019-06-14 | 2019-09-24 | 百度在线网络技术（北京）有限公司 | Processing frequency method of adjustment, device and the electronic equipment of vehicle control model |
| CN110275510B (en) * | 2019-06-14 | 2021-12-07 | 百度在线网络技术（北京）有限公司 | Processing frequency adjusting method and device of vehicle control model and electronic equipment |
| CN111459755A (en) * | 2020-03-27 | 2020-07-28 | 海信视像科技股份有限公司 | Log file output control method and device based on EMMC life value |
| CN112462678A (en) * | 2020-11-19 | 2021-03-09 | 上海卡鲁自动化科技有限公司 | Vehicle-mounted remote monitoring method for super-capacitor passenger car |
| CN113347279A (en) * | 2021-08-09 | 2021-09-03 | 天津所托瑞安汽车科技有限公司 | Method and system for transmitting vehicle driving data |
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Application publication date: 20161207 |