CN106980313B - Automobile driving mode optimizing system and optimizing method - Google Patents
Automobile driving mode optimizing system and optimizing method Download PDFInfo
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- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
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Abstract
The application discloses an automobile driving mode optimizing system and an optimizing method. The system comprises a singlechip, an automobile OBD data reading module, a GPS satellite positioning module, a GPRS wireless transmission module, a Bluetooth module, an automobile driving habit optimization module, a GPRS wireless receiver, an antenna, a Bluetooth receiver, a display screen, a loudspeaker, a cloud server, a cloud database and a mobile phone terminal. The system can optimize the driving habit of a driver, provides an effective solution to the bad driving habit, feeds back and records instant data in a cloud database, analyzes and predicts various faults of different vehicles caused by the bad driving habit through big data, influences of the driving habits of different crowds on the automobile fault rate, and provides a solution to the faults.
Description
Technical Field
The application relates to the field of automobiles, in particular to an automobile driving mode optimizing system and an optimizing method.
Background
With the rapid development of Chinese economy, the automobile conservation amount in China is increased year by year, and meanwhile, the pressure caused by automobile fuel consumption and tail gas emission is increased increasingly, so that the energy conservation and emission reduction are attracting more attention. The driver is the main body of automobile control, and the driving behavior and driving habit of the driver have great influence on the fuel consumption of the automobile. In addition, with the development of technology, a vehicle-mounted fault diagnosis system is developed, the traditional fault diagnosis equipment is gradually replaced, and the remote automobile fault detection can be realized. And the method is combined with big data, so that the oil-consuming problem caused by driving habit and other behaviors on the automobile is analyzed and optimized by a more advanced technology, and the aims of reducing the cost of the automobile maintenance and reducing the environmental protection pressure are fulfilled.
Application number 201620936849.4 discloses an automobile state prediction system based on the Internet of things. The system can monitor the electronic fault and mechanical fault of the automobile, can classify the monitored data and store the monitored data through network processing, draw the use curves of all parts of the detected automobile, collect the automobile data, compare the use curves of all parts of the brand automobile model under big data, predict the use state and the service life of all parts of the automobile under various working conditions, remind the user to overhaul the automobile in advance, replace related accessories, take precautions in advance and improve the driving safety. However, this document starts from a car failure and does not propose an optimization method for driver habit.
Disclosure of Invention
Aiming at the defects of the prior art, the application aims to provide an automobile driving mode optimizing system and an optimizing method. According to the method, the driving habit optimization reports are generated for different automobiles and different drivers through analysis and arrangement of the optimization system, so that the failure rate is reduced, the oil consumption is reduced, and the cost of vehicle maintenance is reduced.
The technical scheme for solving the technical problems of the system is that an automobile driving mode optimizing system is provided, and is characterized by comprising a singlechip, an automobile OBD data reading module, a GPS satellite positioning module, a GPRS wireless transmission module, a Bluetooth module, an automobile driving habit optimizing module, a GPRS wireless receiver, an antenna, a Bluetooth receiver, a display screen, a loudspeaker, a cloud server, a cloud database and a mobile phone terminal;
the singlechip is respectively connected with the automobile OBD data reading module, the GPS satellite positioning module, the GPRS wireless transmission module, the Bluetooth module and the automobile driving habit optimization module; the automobile OBD data reading module is connected with the automobile OBD; the GPS satellite positioning module is connected with the antenna and receives satellite signals through the antenna; the GPRS wireless transmission module is connected with the GPRS wireless receiver; the Bluetooth module is connected with the mobile phone terminal through a Bluetooth receiver; the cloud server is respectively connected with the GPRS wireless receiver and the cloud database; and the automobile driving habit optimization module is respectively connected with the display screen and the loudspeaker.
The technical scheme for solving the technical problem of the method is that the application provides an automobile driving mode optimizing method, which is characterized by comprising the following steps:
(1) The singlechip controls the OBD data reading module of the automobile, and extracts parameter information in the running process of the automobile through a CAN bus protocol of the automobile;
(2) Transmitting the parameter information to a cloud server through a GPRS wireless transmission module and a GPRS wireless receiver and storing the parameter information in a cloud database;
(3) In a cloud database, classifying and storing automobile model and parameter information transmitted by a GPRS wireless receiver, and calculating to obtain optimal acceleration a h The method comprises the steps of carrying out a first treatment on the surface of the And real-time automobile parameter information and optimal acceleration a h Sending back to the singlechip through the GPRS wireless receiver;
(4) The singlechip controls the automobile driving habit optimization module, and judges whether a gear exists when the automobile runs at the moment through the automobile driving habit optimization module;
when no gear is present, the vehicle speed V at that time is input into the vehicle driving habit optimization module i And the vehicle speed V of the next second i+1 The method comprises the steps of carrying out a first treatment on the surface of the If V i ＝V i+1 >0 exceeds 5 times, outputting an excessive carbon deposition risk warning for the idle time;
when a gear exists, dividing the speed of the automobile into N sections, wherein N is a positive integer;
in a first section, judging whether the vehicle speed meets the following conditions: the lower limit of this interval<V i <V i+1 The upper limit of the interval is less than or equal to the upper limit of the interval, if the upper limit is met, the upper limit is equal to or less than the upper limit of the interval through a 1i ＝(V i+1 -V i )/t i Calculating acceleration a within the ith 1s 1i The method comprises the steps of carrying out a first treatment on the surface of the Further judge a h1 <a 1i Whether or not to do so, where a h1 Optimal acceleration in this interval; when judging a continuously for 5s h1 <a 1i If the two conditions are met, outputting a heavy stepping accelerator carbon deposit risk warning;
in the second interval, judging whether the vehicle speed meets the following conditions: upper limit of the first interval<V i <V i+1 The upper limit of the interval is less than or equal to the upper limit of the interval, and the judging method is the same as that of the first interval; the judgment of other intervals is completed in the same way;
in the nth section, it is determined whether the vehicle speed satisfies: upper limit of last interval<V i <V i+1 The maximum value of the speed of the safe running of the automobile is less than or equal to the maximum value, and the judging method is the same as that of the first interval;
(5) The singlechip feeds back the result obtained in the step 4) to a cloud database through a GPRS wireless receiver and stores the result in the cloud database; if the carbon deposition risk warning occurs in the step 4), abnormal data are sent to the mobile phone terminal through the Bluetooth module and the Bluetooth receiver to remind a driver, meanwhile, the mobile phone terminal generates an abnormal data report, and the report is sent to the cloud server through the GPRS wireless receiver and stored in the cloud database;
(6) And finally, sorting, counting and analyzing the fed-back abnormal data in the cloud database, and generating driving habit optimization reports for different vehicle types and different drivers.
Compared with the prior art, the application has the beneficial effects that:
(1) The system can optimize the driving habit of a driver, provides an effective solution to the bad driving habit, feeds back and records instant data in a cloud database, analyzes and predicts various faults of different vehicles caused by the bad driving habit through big data, influences of the driving habits of different crowds on the automobile fault rate, and provides a solution to the faults.
(2) The automobile driving habit optimization module in the system is divided into an idle running process and an acceleration process; in the idle running process of the automobile, if the idle running time is too long, a carbon deposition risk warning is sent out; in the acceleration running process of the automobile, the optimal acceleration a corresponding to the optimal fuel consumption of different speed intervals of the automobile is obtained h As a threshold value, the acceleration a of the automobile is calculated during the acceleration of the automobile i By combining with a h Comparing to obtain whether the optimal acceleration is exceeded, if the optimal acceleration is exceeded for a long time, the risk of re-stepping on the accelerator and accumulating carbon is also sent out to warn the vehicle owner, and the risk is timely fed back to cloud dataAnd the library is used for generating driving habit optimization reports for different automobiles and different drivers, so that the failure rate is reduced, the oil consumption is reduced, and the cost of vehicle maintenance is reduced.
(3) When the acceleration in the running process of the automobile is calculated, the real-time speed input value is the processed and analyzed correct value from the cloud database, so that the probability of false alarm is reduced. And the cloud database classifies and sorts the automobile parameter information and the real-time data information, extracts the needed automobile data, and sends the automobile data to the automobile driving habit optimization module for calculation. And finally, analyzing and sorting the feedback results to generate driving habit optimization reports for different automobiles and different drivers.
Drawings
FIG. 1 is a schematic block diagram of the overall structural connection of a system of one embodiment of an automotive driving style optimization system and optimization method of the present application; ( In the figure: 1. a single chip microcomputer; 2. an automobile OBD data reading module; 3. a GPS satellite positioning module; 4. a GPRS wireless transmission module; 5. a Bluetooth module; 6. the automobile driving habit optimization module; 7. a GPRS wireless receiver; 8. an antenna; 9. a Bluetooth receiver; 10. a display screen; 11. a speaker; 12. a cloud server; 13. a cloud database; 14. mobile phone terminal )
Detailed Description
Specific examples of the present application are given below. The specific examples are provided only for further details of the present application and do not limit the scope of the claims.
The application provides an automobile driving mode optimizing system (refer to figure 1, system for short), which is characterized by comprising a singlechip 1, an automobile OBD data reading module 2, a GPS satellite positioning module 3, a GPRS wireless transmission module 4, a Bluetooth module 5, an automobile driving habit optimizing module 6, a GPRS wireless receiver 7, an antenna 8, a Bluetooth receiver 9, a display screen 10, a loudspeaker 11, a cloud server 12, a cloud database 13 and a mobile phone terminal 14;
the singlechip 1 is respectively connected with an automobile OBD data reading module 2, a GPS satellite positioning module 3, a GPRS wireless transmission module 4, a Bluetooth module 5 and an automobile driving habit optimizing module 6; the automobile OBD data reading module 2 is connected with the automobile OBD through a 16pin interface line; the GPS satellite positioning module 3 is connected with an antenna 8, and receives satellite signals through the antenna 8; the GPRS wireless transmission module 4 is connected with the GPRS wireless receiver 7 and transmits data to the cloud server 12 through the GPRS wireless receiver 7; the Bluetooth module 5 is connected with the mobile phone terminal 14 through the Bluetooth receiver 9, and transmits data with the mobile phone terminal 14 through the Bluetooth receiver 9; the cloud server 12 is respectively connected with the GPRS wireless receiver 7 and the cloud database 13, and the cloud server 12 receives data transmitted by the GPRS wireless receiver 7 and stores the data in the cloud database 13; the automobile driving habit optimizing module 6 is respectively connected with the display screen 10 and the loudspeaker 11, controls the display function of the display screen 10 and the alarm function of the loudspeaker 11, feeds back data when an alarm occurs to the cloud server 12, and stores the data in the cloud database 13 for predicting faults caused by driving behaviors.
The model of the singlechip 1 is STM32F103CBT6.
The automobile OBD data reading module 2 extracts parameter information in the running process of an automobile, such as up to 150 parameter information including speed, engine rotating speed, fuel injection quantity, accelerator pedal relative position, rail pressure, automobile emission quantity and the like, through a CAN bus protocol of the automobile.
The GPS satellite positioning module 3 is used for positioning the automobile and recording the running track of the automobile and the collection of the speed information of the automobile.
The application also provides an automobile driving mode optimizing method (short for method), which is characterized by comprising the following steps:
(1) The singlechip 1 controls the automobile OBD data reading module 2, and extracts parameter information in the running process of the automobile, such as 150 parameter information of speed, engine speed, fuel injection quantity, accelerator pedal relative position, rail pressure, automobile emission quantity and the like through the CAN bus protocol of the automobile;
(2) The parameter information is transmitted to the cloud server 12 through the GPRS wireless transmission module 4 and the GPRS wireless receiver 7 and stored in the cloud database 13;
(3) In the cloud database 13, the automobile model and parameter information transmitted by the GPRS wireless receiver 7 are classified and stored, and the optimal acceleration a is calculated h The method comprises the steps of carrying out a first treatment on the surface of the And will beReal-time parameter information such as vehicle speed, engine speed, gear, oil injection quantity and the like and optimal acceleration a h Sending back to the singlechip 1 through the GPRS wireless receiver 7;
(4) The singlechip 1 controls the automobile driving habit optimization module 6, and judges whether a gear exists when the automobile runs at the moment through the automobile driving habit optimization module 6;
when there is no gear, the vehicle speed V at that time is input in the vehicle driving habit optimization module 6 i And the vehicle speed V of the next second i+1 The method comprises the steps of carrying out a first treatment on the surface of the If V i ＝V i+1 >0 exceeds 5 times, outputting an excessive carbon deposition risk warning for the idle time;
when a gear exists, dividing the speed of the automobile into N sections, wherein N is a positive integer;
in a first section, judging whether the vehicle speed meets the following conditions: the lower limit of this interval<V i <V i+1 The upper limit of the interval is less than or equal to the upper limit of the interval, if the upper limit is met, the upper limit is equal to or less than the upper limit of the interval through a 1i ＝(V i+1 -V i )/t i Calculating acceleration a within the ith 1s 1i The method comprises the steps of carrying out a first treatment on the surface of the Further judge a h1 <a 1i Whether or not to do so, where a h1 Optimal acceleration in this interval; when judging a continuously for 5s h1 <a 1i If the two conditions are met, outputting a heavy stepping accelerator carbon deposit risk warning;
in the second interval, judging whether the vehicle speed meets the following conditions: upper limit of the first interval<V i <V i+1 The upper limit of the interval is less than or equal to the upper limit of the interval, and the judging method is the same as that of the first interval; the judgment of other intervals is completed in the same way;
in the nth section, it is determined whether the vehicle speed satisfies: upper limit of last interval<V i <V i+1 The maximum value of the speed of the safe running of the automobile is less than or equal to the maximum value, and the judging method is the same as that of the first interval;
(5) The singlechip 1 feeds back the result obtained in the step 4) to the cloud database 13 through the GPRS wireless receiver 7, and stores the result in the cloud database 13; if the carbon deposition risk warning occurs in the step 4), abnormal data is sent to the mobile phone terminal 14 through the Bluetooth module 5 and the Bluetooth receiver 9 to remind a driver, meanwhile, the mobile phone terminal 14 generates an abnormal data report, and the report is sent to the cloud server 12 through the GPRS wireless receiver 7 and stored in the cloud database 13;
(6) And finally, the feedback abnormal data are arranged, counted and analyzed in the cloud database 13, and driving habit optimization reports are generated for different vehicle types and different drivers.
Example 1
The method for optimizing the driving mode of the automobile comprises the following steps:
(1) The singlechip 1 controls the automobile OBD data reading module 2, and extracts parameter information in the running process of the automobile, such as 150 parameter information of speed, engine speed, fuel injection quantity, accelerator pedal relative position, rail pressure, automobile emission quantity and the like through the CAN bus protocol of the automobile;
(2) The parameter information is transmitted to the cloud server 12 through the GPRS wireless transmission module 4 and the GPRS wireless receiver 7 and stored in the cloud database 13;
(3) In the cloud database 13, the automobile model and parameter information transmitted by the GPRS wireless receiver 7 are classified and stored, and the optimal acceleration a is calculated h The method comprises the steps of carrying out a first treatment on the surface of the And the real-time parameter information such as the speed, the engine rotating speed, the gear, the oil injection quantity and the like and the optimal acceleration a are combined h Sending back to the singlechip 1 through the GPRS wireless receiver 7;
(4) The singlechip 1 controls the automobile driving habit optimization module 6, and judges whether a gear exists when the automobile runs at the moment through the automobile driving habit optimization module 6;
when there is no gear, the vehicle speed V at that time is input in the vehicle driving habit optimization module 6 i And the vehicle speed V of the next second i+1 The method comprises the steps of carrying out a first treatment on the surface of the If V i ＝V i+1 >0 exceeds 5 times, outputting an excessive carbon deposition risk warning for the idle time;
when there is a gear, judge whether the vehicle speed is 0<V i <V i+1 ≤30，V i At the moment of the speed of the vehicle, V i+1 For the next second of vehicle speed, if the vehicle speed is satisfied, the vehicle speed is equal to the speed of a through a 1i ＝(V i+1 -V i )/t i Calculating acceleration a within the ith 1s 1i The method comprises the steps of carrying out a first treatment on the surface of the Further judge a h1 <a 1i Whether or not it is true, judging a when 5s are continuous h1 <a 1i All are true, output the re-stepping on the throttleWarning of carbon deposition risk;
judging whether the vehicle speed is 30<V i <V i+1 Less than or equal to 60, if the result is satisfied, the result is that the result is a 2i ＝(V i+1 -V i )/t i Calculating acceleration a within the ith 1s 2i Further judge a h2 <a 2i Whether or not it is true, judging a when 5s are continuous h2 <a 2i If the two conditions are met, outputting a heavy stepping accelerator carbon deposit risk warning;
determining whether the vehicle speed is 60<V i <V i+1 Less than or equal to 90, if the result is satisfied, the result is a 3i ＝(V i+1 -V i )/t i Calculating acceleration a within the ith 1s 3i Further judge a h3 <a 3i Whether or not it is true, judging a when 5s are continuous h2 <a 3i If the two conditions are met, outputting a heavy stepping accelerator carbon deposit risk warning;
judging whether the vehicle speed is 90<V i <V i+1 Less than or equal to 120, if the result is satisfied, the result is a 4i ＝(V i+1 -V i )/t i Calculating acceleration a within the ith 1s i Further judge a h4 <a 4i Whether or not it is true, judging a when 5s are continuous h2 <a 4i If the two conditions are met, outputting a heavy stepping accelerator carbon deposit risk warning;
if the vehicle speed is judged to not meet the conditions, the vehicle speed of the next second is continuously input, circulation is continuously carried out, and judgment is carried out;
(5) The singlechip 1 feeds back the result obtained in the step 4) to the cloud database 13 through the GPRS wireless receiver 7, and stores the result in the cloud database 13; if the carbon deposition risk warning occurs in the step 4), abnormal data is sent to the mobile phone terminal 14 through the Bluetooth module 5 and the Bluetooth receiver 9 to remind a driver, meanwhile, the mobile phone terminal 14 generates an abnormal data report, and the report is sent to the cloud server 12 through the GPRS wireless receiver 7 and stored in the cloud database 13;
(6) And finally, the feedback abnormal data are arranged, counted and analyzed in the cloud database 13, so that driving habit optimization reports are generated for different vehicle types and different drivers.
The application is applicable to the prior art where it is not described.
Claims (2)
1. The automobile driving mode optimizing method based on the automobile driving mode optimizing system comprises a singlechip, an automobile OBD data reading module, a GPS satellite positioning module, a GPRS wireless transmission module, a Bluetooth module, an automobile driving habit optimizing module, a GPRS wireless receiver, an antenna, a Bluetooth receiver, a display screen, a loudspeaker, a cloud server, a cloud database and a mobile phone terminal;
the singlechip is respectively connected with the automobile OBD data reading module, the GPS satellite positioning module, the GPRS wireless transmission module, the Bluetooth module and the automobile driving habit optimization module; the automobile OBD data reading module is connected with the automobile OBD; the GPS satellite positioning module is connected with the antenna and receives satellite signals through the antenna; the GPRS wireless transmission module is connected with the GPRS wireless receiver; the Bluetooth module is connected with the mobile phone terminal through a Bluetooth receiver; the cloud server is respectively connected with the GPRS wireless receiver and the cloud database; the automobile driving habit optimization module is respectively connected with the display screen and the loudspeaker;
the optimization method is characterized by comprising the following steps of:
(1) The singlechip controls the OBD data reading module of the automobile, and extracts parameter information in the running process of the automobile through a CAN bus protocol of the automobile;
(2) Transmitting the parameter information to a cloud server through a GPRS wireless transmission module and a GPRS wireless receiver and storing the parameter information in a cloud database;
(3) In a cloud database, classifying and storing automobile model and parameter information transmitted by a GPRS wireless receiver, and calculating to obtain optimal acceleration a h The method comprises the steps of carrying out a first treatment on the surface of the And real-time automobile parameter information and optimal acceleration a h Sending back to the singlechip through the GPRS wireless receiver;
(4) The singlechip controls the automobile driving habit optimization module, and judges whether a gear exists when the automobile runs at the moment through the automobile driving habit optimization module;
when no gear is present, the current driving habit optimization module is inputVehicle speed V i And the vehicle speed V of the next second i+1 The method comprises the steps of carrying out a first treatment on the surface of the If V i ＝V i+1 >0 exceeds 5 times, outputting an excessive carbon deposition risk warning for the idle time;
when a gear exists, dividing the speed of the automobile into N sections, wherein N is a positive integer;
in a first section, judging whether the vehicle speed meets the following conditions: the lower limit of this interval<V i <V i+1 The upper limit of the interval is less than or equal to the upper limit of the interval, if the upper limit is met, the upper limit is equal to or less than the upper limit of the interval through a 1i ＝(V i+1 -V i )/t i Calculating acceleration a within the ith 1s 1i The method comprises the steps of carrying out a first treatment on the surface of the Further judge a h1 <a 1i Whether or not to do so, where a h1 Optimal acceleration in this interval; when judging a continuously for 5s h1 <a 1i If the two conditions are met, outputting a heavy stepping accelerator carbon deposit risk warning;
in the second interval, judging whether the vehicle speed meets the following conditions: upper limit of the first interval<V i <V i+1 The upper limit of the interval is less than or equal to the upper limit of the interval, and the judging method is the same as that of the first interval; the judgment of other intervals is completed in the same way;
in the nth section, it is determined whether the vehicle speed satisfies: upper limit of last interval<V i <V i+1 The maximum value of the speed of the safe running of the automobile is less than or equal to the maximum value, and the judging method is the same as that of the first interval;
(5) The singlechip feeds back the result obtained in the step 4) to a cloud database through a GPRS wireless receiver and stores the result in the cloud database; if the carbon deposition risk warning occurs in the step 4), abnormal data are sent to the mobile phone terminal through the Bluetooth module and the Bluetooth receiver to remind a driver, meanwhile, the mobile phone terminal generates an abnormal data report, and the report is sent to the cloud server through the GPRS wireless receiver and stored in the cloud database;
(6) And finally, sorting, counting and analyzing the fed-back abnormal data in the cloud database, and generating driving habit optimization reports for different vehicle types and different drivers.
2. The method for optimizing the driving style of the automobile based on the system for optimizing the driving style of the automobile according to claim 1, wherein the model of the single chip microcomputer is STM32F103CBT6.
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| CN110147051A (en) * | 2019-04-14 | 2019-08-20 | 蘑菇物联技术（深圳）有限公司 | A method of realizing that electromechanical equipment is locally displayed and Internet of Things based on APP |
| CN109859529B (en) * | 2019-04-16 | 2023-01-10 | 河北工业大学 | Driving optimization system and method for safely passing through highway exit |
| CN111582732A (en) * | 2020-05-12 | 2020-08-25 | 胡伊婷 | Vehicle condition analysis system based on big data |
| CN115680877B (en) * | 2021-07-28 | 2024-06-14 | 深圳联友科技有限公司 | Engine carbon deposition detection system and method based on vehicle coupling big data |
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