CN111856188B - New energy vehicle detection method and system based on Internet of things - Google Patents
New energy vehicle detection method and system based on Internet of things Download PDFInfo
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- CN111856188B CN111856188B CN202010739561.9A CN202010739561A CN111856188B CN 111856188 B CN111856188 B CN 111856188B CN 202010739561 A CN202010739561 A CN 202010739561A CN 111856188 B CN111856188 B CN 111856188B
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- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/005—Testing of electric installations on transport means
- G01R31/006—Testing of electric installations on transport means on road vehicles, e.g. automobiles or trucks
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- G—PHYSICS
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/001—Measuring interference from external sources to, or emission from, the device under test, e.g. EMC, EMI, EMP or ESD testing
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Abstract
The invention discloses a new energy vehicle detection method and system based on the Internet of things, wherein the method comprises the following steps: acquiring first circuit information inside a vehicle and first environment perception information outside the vehicle; performing electromagnetic interference tests in a static state and a driving state of the vehicle, and respectively obtaining a first electromagnetic interference test result and a second electromagnetic interference test result; acquiring a first vehicle structure diagram, performing electromagnetic interference simulation, and acquiring an electromagnetic interference simulation result; obtaining the final result of the electromagnetic interference; acquiring second circuit information and second environment perception information; performing anti-electromagnetic interference tests in a static state and a driving state of the vehicle, and respectively obtaining a first anti-electromagnetic interference test result and a second anti-electromagnetic interference test result; acquiring a second vehicle structure diagram, performing anti-electromagnetic interference simulation, and acquiring an anti-electromagnetic interference simulation result; and obtaining the final result of resisting the electromagnetic interference. The accuracy of the data tested in the electromagnetic compatibility test is improved, and the safety and the reliability of the vehicle can be effectively guaranteed.
Description
Technical Field
The invention relates to the technical field of vehicle detection, in particular to a new energy vehicle detection method and system based on the Internet of things.
Background
At present, a new energy automobile adopts a storage battery as an energy storage power source, and the storage battery is used as the power source to provide electric energy for a motor to drive the motor to run so as to push the automobile to run. In the prior art, most of automobile electromagnetic compatibility test methods are few researches on electromagnetic compatibility of internal combustion engine automobiles such as gasoline automobiles aiming at new energy automobiles. In the prior art, the electromagnetic compatibility test of a new energy automobile is not convenient enough, effective monitoring and data query cannot be carried out, meanwhile, the data tested in the electromagnetic compatibility test is not accurate enough, whether the electromagnetic compatibility test of the automobile is qualified or not cannot be accurately judged in the electromagnetic compatibility test, the safety and the reliability of the automobile cannot be effectively guaranteed, and certain potential safety hazards exist.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the art described above. Therefore, a first object of the present invention is to provide a new energy vehicle detection method based on the internet of things, which is more convenient for an electromagnetic compatibility test of a new energy vehicle, and can perform effective monitoring and data query, improve accuracy of data tested in the electromagnetic compatibility test, further improve accuracy of judging whether the electromagnetic compatibility test of the vehicle is qualified, effectively ensure safety and reliability of the vehicle, and eliminate potential safety hazards.
The invention also provides a new energy vehicle detection system based on the Internet of things.
In order to achieve the above object, an embodiment of a first aspect of the present invention provides a new energy vehicle detection method based on the internet of things, including:
acquiring first circuit information inside a vehicle and first environment perception information outside the vehicle;
according to the first circuit information and the first environment perception information, performing an electromagnetic interference test in a static state of the vehicle to obtain a first electromagnetic interference test result; performing an electromagnetic interference test in a vehicle running state to obtain a second electromagnetic interference test result;
scanning a vehicle for the first time, acquiring first point cloud data of the vehicle, converting the first point cloud data into a three-dimensional coordinate system, generating a first vehicle structure diagram, and performing electromagnetic interference simulation according to the first vehicle structure diagram to acquire an electromagnetic interference simulation result;
obtaining an electromagnetic interference final result according to the first electromagnetic interference test result, the second electromagnetic interference test result and the electromagnetic interference simulation result;
acquiring second circuit information inside the vehicle and second environment perception information outside the vehicle;
according to the second circuit information and the second environment perception information, performing an anti-electromagnetic interference test in a static state of the vehicle to obtain a first anti-electromagnetic interference test result; performing an anti-electromagnetic interference test in a vehicle running state to obtain a second anti-electromagnetic interference test result;
scanning the vehicle for the second time to obtain second point cloud data of the vehicle, converting the second point cloud data into a three-dimensional coordinate system to generate a second vehicle structure diagram, and performing anti-electromagnetic interference simulation according to the second vehicle structure diagram to obtain an anti-electromagnetic interference simulation result;
and obtaining an anti-electromagnetic interference final result according to the first anti-electromagnetic interference test result, the second anti-electromagnetic interference test result and the anti-electromagnetic interference simulation result.
According to some embodiments of the invention, the performing the electromagnetic interference test in the driving state of the vehicle further comprises:
acquiring the running path information of the vehicle and judging whether the running path information is consistent with the preset running path information;
and when the running path information is determined to be inconsistent with the preset running path information, carrying out correction processing on the running path information.
According to some embodiments of the invention, the performing the electromagnetic interference test in the driving state of the vehicle further comprises:
judging whether an obstacle exists on a vehicle running path or not according to the first environment perception information;
when the obstacle exists on the vehicle running path, calculating the reliability level of the vehicle passing over the obstacle and judging whether the reliability level is greater than or equal to a preset reliability level;
and when the reliability level that the vehicle passes through the obstacle is determined to be less than the preset reliability level, replanning the running path of the vehicle.
According to some embodiments of the invention, the calculating a reliability level of the vehicle crossing the obstacle and determining whether the reliability level is greater than or equal to a preset reliability level comprises:
calculating the gradient P of vehicle running:
wherein, P1The gradient in the east-west direction; p2The slope in the north-south direction;
calculating the heave height H when the vehicle passes through the obstacle:
H＝max{hi-h0}i＝1,2,3...n
wherein n is the number of areas with different heights of the obstacles; h is0Is the initial height of the vehicle; h isiThe height of the vehicle when the vehicle passes through the ith area of the obstacle;
calculating the reliability grade T of the vehicle crossing the obstacle according to the gradient P of the vehicle running and the heave height H when the vehicle crosses the obstacle:
wherein k is1A first weight coefficient that is a grade of gradient influence reliability level of vehicle travel; p0Is a preset gradient threshold value; k is a radical of2A second weight coefficient, k, which is the influence of the heave height of the vehicle over an obstacle on the reliability level1+k2＝1；H0Is a preset heave height threshold.
According to some embodiments of the invention, the performing the electromagnetic interference test in the driving state of the vehicle further comprises:
acquiring vehicle body state information of a vehicle and judging whether the vehicle breaks down or not;
when the vehicle is determined to have a fault, controlling the vehicle to be in a static state and acquiring a diagnosis request instruction sent by a vehicle-mounted diagnosis system arranged in the vehicle and bus data of the vehicle;
establishing remote diagnosis connection between the server and the vehicle according to the diagnosis request instruction, analyzing bus data of the vehicle to obtain a fault diagnosis code, and sending the fault diagnosis code to a vehicle-mounted diagnosis system of the vehicle;
and the vehicle-mounted diagnosis system determines the information of the damaged electronic device in the vehicle according to the fault diagnosis code.
According to some embodiments of the present invention, the performing the electromagnetic interference test in the vehicle stationary state to obtain the first electromagnetic interference test result further includes:
acquiring a first electromagnetic numerical value of each electronic device in the first circuit information according to the first electromagnetic interference test result;
respectively calculating first difference values of the first electromagnetic values of the electronic devices and preset electromagnetic values corresponding to the electronic devices, sequencing the first difference values, and selecting the electronic device corresponding to the largest first difference value;
sequentially powering down other electronic devices except the electronic device corresponding to the maximum first difference value, and detecting a second electromagnetic value of the electronic device corresponding to the maximum first difference value;
respectively calculating second difference values of the first electromagnetic value and the second electromagnetic value, sequencing the second difference values, and selecting the corresponding power-off electronic device with the largest second difference value;
and arranging an electromagnetic shielding device on the power-off electronic device, carrying out an electromagnetic interference test in a static state of the vehicle, and correcting a first electromagnetic interference test result.
In order to achieve the above object, an embodiment of a second aspect of the present invention provides a new energy vehicle detection system based on the internet of things, including:
a first obtaining module to:
acquiring first circuit information inside a vehicle and first environment perception information outside the vehicle;
acquiring second circuit information inside the vehicle and second environment perception information outside the vehicle;
a test result obtaining module, configured to:
according to the first circuit information and the first environment perception information, performing an electromagnetic interference test in a static state of the vehicle to obtain a first electromagnetic interference test result; performing an electromagnetic interference test in a vehicle running state to obtain a second electromagnetic interference test result;
according to the second circuit information and the second environment perception information, performing an anti-electromagnetic interference test in a static state of the vehicle to obtain a first anti-electromagnetic interference test result; performing an anti-electromagnetic interference test in a vehicle running state to obtain a second anti-electromagnetic interference test result;
a simulation result obtaining module, configured to:
scanning a vehicle for the first time, acquiring first point cloud data of the vehicle, converting the first point cloud data into a three-dimensional coordinate system, generating a first vehicle structure diagram, and performing electromagnetic interference simulation according to the first vehicle structure diagram to acquire an electromagnetic interference simulation result;
scanning the vehicle for the second time to obtain second point cloud data of the vehicle, converting the second point cloud data into a three-dimensional coordinate system to generate a second vehicle structure diagram, and performing anti-electromagnetic interference simulation according to the second vehicle structure diagram to obtain an anti-electromagnetic interference simulation result;
a final result obtaining module configured to:
obtaining an electromagnetic interference final result according to the first electromagnetic interference test result, the second electromagnetic interference test result and the electromagnetic interference simulation result;
and obtaining an anti-electromagnetic interference final result according to the first anti-electromagnetic interference test result, the second anti-electromagnetic interference test result and the anti-electromagnetic interference simulation result.
According to some embodiments of the invention, comprising:
the obstacle judging module is used for carrying out an electromagnetic interference test in a vehicle running state and judging whether an obstacle exists on a vehicle running path or not according to the first environment perception information;
the first calculation module is used for calculating the reliability level of the vehicle passing through the obstacle and judging whether the reliability level is greater than or equal to a preset reliability level or not when the obstacle is determined to exist on the vehicle running path;
and the path planning module is used for replanning the driving path of the vehicle when the reliability level that the vehicle passes through the obstacle is determined to be less than the preset reliability level.
According to some embodiments of the invention, the first calculation module, when determining that an obstacle exists on a vehicle travel path, calculates a reliability level of the vehicle crossing the obstacle and determines whether the reliability level is greater than or equal to a preset reliability level, includes:
calculating the gradient P of vehicle running:
wherein, P1The gradient in the east-west direction; p2The slope in the north-south direction;
calculating the heave height H when the vehicle passes through the obstacle:
H＝max{hi-h0}i＝1,2,3...n
wherein n is the number of areas with different heights of the obstacles; h is0Is the initial height of the vehicle; h isiThe height of the vehicle when the vehicle passes through the ith area of the obstacle;
calculating the reliability grade T of the vehicle crossing the obstacle according to the gradient P of the vehicle running and the heave height H when the vehicle crosses the obstacle:
wherein k is1A first weight coefficient that is a grade of gradient influence reliability level of vehicle travel; p0Is a preset gradient threshold value; k is a radical of2A second weight coefficient, k, which is the influence of the heave height of the vehicle over an obstacle on the reliability level1+k2＝1；H0Is a preset heave height threshold.
According to some embodiments of the invention, further comprising:
the second acquisition module is used for performing electromagnetic interference test in a static state of the vehicle, and acquiring first electromagnetic values of all electronic devices in the first circuit information according to the first electromagnetic interference test result after the first electromagnetic interference test result is acquired;
the second calculation module is used for respectively calculating first difference values of the first electromagnetic values of the electronic devices and the preset electromagnetic values corresponding to the electronic devices, sorting the first difference values and selecting the electronic device corresponding to the largest first difference value;
the third acquisition module is used for sequentially powering down other electronic devices except the electronic device corresponding to the maximum first difference value and detecting a second electromagnetic value of the electronic device corresponding to the maximum first difference value;
the third calculation module is used for calculating second difference values of the first electromagnetic value and the second electromagnetic value respectively, sequencing the second difference values and selecting the corresponding power-off electronic device with the largest second difference value;
and the correction module is used for setting an electromagnetic shielding device for the power-off electronic device, performing an electromagnetic interference test in a static state of the vehicle and correcting a first electromagnetic interference test result.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a new energy vehicle detection method based on the internet of things according to an embodiment of the invention;
fig. 2 is a block diagram of a new energy vehicle detection system based on the internet of things according to an embodiment of the invention.
Reference numerals:
the system comprises a new energy vehicle detection system 100 based on the Internet of things, a first acquisition module 1, a test result acquisition module 2, a simulation result acquisition module 3 and a final result acquisition module 4.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Fig. 1 is a flowchart of a new energy vehicle detection method based on the internet of things according to an embodiment of the invention; as shown in fig. 1, an embodiment of the first aspect of the present invention provides a new energy vehicle detection method based on the internet of things, including steps S1-S8:
s1, acquiring first circuit information inside the vehicle and first environment sensing information outside the vehicle;
s2, according to the first circuit information and the first environment perception information, performing an electromagnetic interference test in a static state of the vehicle to obtain a first electromagnetic interference test result; performing an electromagnetic interference test in a vehicle running state to obtain a second electromagnetic interference test result;
s3, scanning the vehicle for the first time to obtain first point cloud data of the vehicle, converting the first point cloud data into a three-dimensional coordinate system to generate a first vehicle structure diagram, and performing electromagnetic interference simulation according to the first vehicle structure diagram to obtain an electromagnetic interference simulation result;
s4, obtaining an electromagnetic interference final result according to the first electromagnetic interference test result, the second electromagnetic interference test result and the electromagnetic interference simulation result;
s5, acquiring second circuit information inside the vehicle and second environment perception information outside the vehicle;
s6, according to the second circuit information and the second environment perception information, performing an anti-electromagnetic interference test in a static state of the vehicle to obtain a first anti-electromagnetic interference test result; performing an anti-electromagnetic interference test in a vehicle running state to obtain a second anti-electromagnetic interference test result;
s7, scanning the vehicle for the second time to obtain second point cloud data of the vehicle, converting the second point cloud data into a three-dimensional coordinate system to generate a second vehicle structure diagram, and performing anti-electromagnetic interference simulation according to the second vehicle structure diagram to obtain an anti-electromagnetic interference simulation result;
and S8, obtaining an anti-electromagnetic interference final result according to the first anti-electromagnetic interference test result, the second anti-electromagnetic interference test result and the anti-electromagnetic interference simulation result.
The working principle of the technical scheme is as follows: the first circuit information is acquired before the electromagnetic interference test, and comprises information such as circuit structure layout, electronic devices, connection positions of the electronic devices, operation parameters and the like in the vehicle before the electromagnetic interference test; the first environment perception information is acquired by a vehicle external sensor and comprises a radar sensor, video image acquisition equipment and the like, electromagnetic interference tests are respectively carried out in a static state and a running state of a vehicle, a first electromagnetic interference test result and a second electromagnetic interference test result are acquired, electromagnetic interference test data under different states of the vehicle can be accurately acquired, and the method is comprehensive and accurate. The method comprises the steps of scanning a vehicle, obtaining first point cloud data of the vehicle, generating a first vehicle structure diagram, conducting electromagnetic interference simulation to obtain an electromagnetic interference simulation result, obtaining an electromagnetic interference final result according to the first electromagnetic interference test result, the second electromagnetic interference test result and the electromagnetic interference simulation result, conducting mutual correction and correction to obtain the electromagnetic interference final result, avoiding data inaccuracy caused by errors of the first electromagnetic interference test result, the second electromagnetic interference test result or the electromagnetic interference simulation result in operation, and ensuring accuracy of the electromagnetic interference final result. The second circuit information is information such as circuit structure layout, electronic devices and connection positions of the electronic devices, operation parameters and the like in the vehicle, which is acquired after the vehicle completes an electromagnetic interference test, part of the electronic devices or circuits are damaged after the electromagnetic interference test, the second circuit information can know the part of the information, comprehensive data collection and data analysis are achieved, the safety and reliability of the vehicle are ensured, phenomena such as control failure and the like in subsequent tests are avoided, and the second environment sensing information is environment information of the vehicle acquired during the anti-electromagnetic interference test. And performing anti-electromagnetic interference tests in a static state and a driving state of the vehicle, and respectively obtaining a first anti-electromagnetic interference test result and a second anti-electromagnetic interference test result. Scanning the vehicle for the second time to obtain second point cloud data of the vehicle, converting the second point cloud data into a three-dimensional coordinate system to generate a second vehicle structure diagram, and performing anti-electromagnetic interference simulation according to the second vehicle structure diagram to obtain an anti-electromagnetic interference simulation result; and obtaining an anti-electromagnetic interference final result according to the first anti-electromagnetic interference test result, the second anti-electromagnetic interference test result and the anti-electromagnetic interference simulation result, and improving the accuracy of the anti-electromagnetic interference final result.
The beneficial effects of the above technical scheme are that: the electromagnetic compatibility test of the new energy automobile is more convenient, effective monitoring and data query can be carried out, the accuracy of the data tested in the electromagnetic compatibility test is improved, the accuracy of judging whether the electromagnetic compatibility test of the automobile is qualified is further improved, the safety and the reliability of the automobile can be effectively guaranteed, and potential safety hazards are eliminated.
According to some embodiments of the invention, the performing the electromagnetic interference test in the driving state of the vehicle further comprises:
acquiring the running path information of the vehicle and judging whether the running path information is consistent with the preset running path information;
and when the running path information is determined to be inconsistent with the preset running path information, carrying out correction processing on the running path information.
The working principle and the beneficial effects of the technical scheme are as follows: and when the running path information of the vehicle is inconsistent with the preset running path information, correction processing is carried out, so that the accurate running of the vehicle is ensured, and the safety of the test is ensured.
According to some embodiments of the invention, the performing the electromagnetic interference test in the driving state of the vehicle further comprises:
judging whether an obstacle exists on a vehicle running path or not according to the first environment perception information;
when the obstacle exists on the vehicle running path, calculating the reliability level of the vehicle passing over the obstacle and judging whether the reliability level is greater than or equal to a preset reliability level;
and when the reliability level that the vehicle passes through the obstacle is determined to be less than the preset reliability level, replanning the running path of the vehicle.
The working principle of the technical scheme is as follows: judging whether an obstacle exists on a vehicle running path or not according to first environment sensing information acquired by environment sensing equipment arranged on the vehicle; when the obstacle exists on the vehicle running path, calculating the reliability level of the vehicle passing over the obstacle and judging whether the reliability level is greater than or equal to a preset reliability level; and when the reliability level that the vehicle passes through the obstacle is determined to be less than the preset reliability level, replanning the running path of the vehicle.
The beneficial effects of the above technical scheme are that: the safety of vehicle driving is guaranteed, the test can be normally carried out, intelligent control is achieved, and the test is safer.
According to some embodiments of the invention, the calculating a reliability level of the vehicle crossing the obstacle and determining whether the reliability level is greater than or equal to a preset reliability level comprises:
calculating the gradient P of vehicle running:
wherein, P1The gradient in the east-west direction; p2The slope in the north-south direction;
calculating the heave height H when the vehicle passes through the obstacle:
H＝max{hi-h0}i＝1,2,3...n
wherein n is the number of areas with different heights of the obstacles; h is0Is the initial height of the vehicle; h isiThe height of the vehicle when the vehicle passes through the ith area of the obstacle;
calculating the reliability grade T of the vehicle crossing the obstacle according to the gradient P of the vehicle running and the heave height H when the vehicle crosses the obstacle:
wherein k is1A first weight coefficient that is a grade of gradient influence reliability level of vehicle travel; p0Is a preset gradient threshold value; k is a radical of2A second weight coefficient, k, which is the influence of the heave height of the vehicle over an obstacle on the reliability level1+k2＝1；H0Is a preset heave height threshold.
The working principle and the beneficial effects of the technical scheme are as follows: and calculating the reliability level of the vehicle crossing the obstacle by considering the gradient of the vehicle on the running road and the undulation height of the vehicle when the vehicle crosses the obstacle, and re-planning the running path of the vehicle when the reliability level of the vehicle crossing the obstacle is determined to be less than the preset reliability level. And when the reliability level that the vehicle passes through the obstacle is determined to be greater than or equal to the preset reliability level, enabling the vehicle to follow the original preset running path. In an example, the first weight coefficient and the second weight coefficient are both 0.5, the preset reliability level is 2, and when the calculated reliability level is less than 2, the driving path of the vehicle needs to be re-planned, so that the calculation accuracy is ensured, and the safety and the reliability in the test process are ensured.
According to some embodiments of the invention, the performing the electromagnetic interference test in the driving state of the vehicle further comprises:
acquiring vehicle body state information of a vehicle and judging whether the vehicle breaks down or not;
when the vehicle is determined to have a fault, controlling the vehicle to be in a static state and acquiring a diagnosis request instruction sent by a vehicle-mounted diagnosis system arranged in the vehicle and bus data of the vehicle;
establishing remote diagnosis connection between the server and the vehicle according to the diagnosis request instruction, analyzing bus data of the vehicle to obtain a fault diagnosis code, and sending the fault diagnosis code to a vehicle-mounted diagnosis system of the vehicle;
and the vehicle-mounted diagnosis system determines the information of the damaged electronic device in the vehicle according to the fault diagnosis code.
The working principle of the technical scheme is as follows: the method comprises the steps that an electromagnetic interference test is carried out in the running process of a vehicle, so that faults of electronic devices and circuits can occur, the vehicle body state information of the vehicle is obtained, and whether the vehicle breaks down or not is judged; when the vehicle is determined to have a fault, controlling the vehicle to be in a static state, ensuring the safety of the vehicle, and sending a diagnosis request instruction and bus data of the vehicle through a vehicle-mounted diagnosis system arranged in the vehicle; establishing remote diagnosis connection between the server and the vehicle according to the diagnosis request instruction, analyzing bus data of the vehicle to obtain a fault diagnosis code, and sending the fault diagnosis code to a vehicle-mounted diagnosis system of the vehicle; and the vehicle-mounted diagnosis system determines the information of the damaged electronic device in the vehicle according to the fault diagnosis code.
The beneficial effects of the above technical scheme are that: the damaged electronic device information in the vehicle can be determined according to the fault diagnosis code, so that the remote fault diagnosis of the vehicle is realized, the method is more convenient and faster, and the timeliness of information acquisition is improved.
According to some embodiments of the present invention, the performing the electromagnetic interference test in the vehicle stationary state to obtain the first electromagnetic interference test result further includes:
acquiring a first electromagnetic numerical value of each electronic device in the first circuit information according to the first electromagnetic interference test result;
respectively calculating first difference values of the first electromagnetic values of the electronic devices and preset electromagnetic values corresponding to the electronic devices, sequencing the first difference values, and selecting the electronic device corresponding to the largest first difference value;
sequentially powering down other electronic devices except the electronic device corresponding to the maximum first difference value, and detecting a second electromagnetic value of the electronic device corresponding to the maximum first difference value;
respectively calculating second difference values of the first electromagnetic value and the second electromagnetic value, sequencing the second difference values, and selecting the corresponding power-off electronic device with the largest second difference value;
and arranging an electromagnetic shielding device on the power-off electronic device, carrying out an electromagnetic interference test in a static state of the vehicle, and correcting a first electromagnetic interference test result.
The beneficial effects of the above technical scheme are that: the electromagnetic interference source which is the largest in the electromagnetic interference test can be found out, the electromagnetic shielding device is arranged on the electromagnetic interference source, the normal operation of other electronic devices in the vehicle is ensured, the electromagnetic interference is reduced, and the safety and the reliability of the vehicle are improved. And meanwhile, an electromagnetic shielding device is arranged on the power-off electronic device, electromagnetic interference test is carried out under the static state of the vehicle, and a first electromagnetic interference test result is corrected. The accuracy of the first electromagnetic interference test result is ensured.
Fig. 2 is a block diagram of a new energy vehicle detection system 100 based on the internet of things according to an embodiment of the invention; as shown in fig. 2, a second embodiment of the present invention provides a new energy vehicle detection system 100 based on the internet of things, including:
a first obtaining module 1, configured to:
acquiring first circuit information inside a vehicle and first environment perception information outside the vehicle;
acquiring second circuit information inside the vehicle and second environment perception information outside the vehicle;
a test result obtaining module 2, configured to:
according to the first circuit information and the first environment perception information, performing an electromagnetic interference test in a static state of the vehicle to obtain a first electromagnetic interference test result; performing an electromagnetic interference test in a vehicle running state to obtain a second electromagnetic interference test result;
according to the second circuit information and the second environment perception information, performing an anti-electromagnetic interference test in a static state of the vehicle to obtain a first anti-electromagnetic interference test result; performing an anti-electromagnetic interference test in a vehicle running state to obtain a second anti-electromagnetic interference test result;
a simulation result obtaining module 3, configured to:
scanning a vehicle for the first time, acquiring first point cloud data of the vehicle, converting the first point cloud data into a three-dimensional coordinate system, generating a first vehicle structure diagram, and performing electromagnetic interference simulation according to the first vehicle structure diagram to acquire an electromagnetic interference simulation result;
scanning the vehicle for the second time to obtain second point cloud data of the vehicle, converting the second point cloud data into a three-dimensional coordinate system to generate a second vehicle structure diagram, and performing anti-electromagnetic interference simulation according to the second vehicle structure diagram to obtain an anti-electromagnetic interference simulation result;
a final result obtaining module 4, configured to:
obtaining an electromagnetic interference final result according to the first electromagnetic interference test result, the second electromagnetic interference test result and the electromagnetic interference simulation result;
and obtaining an anti-electromagnetic interference final result according to the first anti-electromagnetic interference test result, the second anti-electromagnetic interference test result and the anti-electromagnetic interference simulation result.
The working principle of the technical scheme is as follows: the first circuit information is acquired before the electromagnetic interference test, and comprises information such as circuit structure layout, electronic devices, connection positions of the electronic devices, operation parameters and the like in the vehicle before the electromagnetic interference test; the first environment perception information is acquired by a vehicle external sensor and comprises a radar sensor, video image acquisition equipment and the like, electromagnetic interference tests are respectively carried out in a static state and a running state of a vehicle, a first electromagnetic interference test result and a second electromagnetic interference test result are acquired, electromagnetic interference test data under different states of the vehicle can be accurately acquired, and the method is comprehensive and accurate. The method comprises the steps of scanning a vehicle, obtaining first point cloud data of the vehicle, generating a first vehicle structure diagram, conducting electromagnetic interference simulation to obtain an electromagnetic interference simulation result, obtaining an electromagnetic interference final result according to the first electromagnetic interference test result, the second electromagnetic interference test result and the electromagnetic interference simulation result, conducting mutual correction and correction to obtain the electromagnetic interference final result, avoiding data inaccuracy caused by errors of the first electromagnetic interference test result, the second electromagnetic interference test result or the electromagnetic interference simulation result in operation, and ensuring accuracy of the electromagnetic interference final result. The second circuit information is information such as circuit structure layout, electronic devices and connection positions of the electronic devices, operation parameters and the like in the vehicle, which is acquired after the vehicle completes an electromagnetic interference test, part of the electronic devices or circuits are damaged after the electromagnetic interference test, the second circuit information can know the part of the information, comprehensive data collection and data analysis are achieved, the safety and reliability of the vehicle are ensured, phenomena such as control failure and the like in subsequent tests are avoided, and the second environment sensing information is environment information of the vehicle acquired during the anti-electromagnetic interference test. And performing anti-electromagnetic interference tests in a static state and a driving state of the vehicle, and respectively obtaining a first anti-electromagnetic interference test result and a second anti-electromagnetic interference test result. Scanning the vehicle for the second time to obtain second point cloud data of the vehicle, converting the second point cloud data into a three-dimensional coordinate system to generate a second vehicle structure diagram, and performing anti-electromagnetic interference simulation according to the second vehicle structure diagram to obtain an anti-electromagnetic interference simulation result; and obtaining an anti-electromagnetic interference final result according to the first anti-electromagnetic interference test result, the second anti-electromagnetic interference test result and the anti-electromagnetic interference simulation result, and improving the accuracy of the anti-electromagnetic interference final result.
The beneficial effects of the above technical scheme are that: the electromagnetic compatibility test of the new energy automobile is more convenient, effective monitoring and data query can be carried out, the accuracy of the data tested in the electromagnetic compatibility test is improved, the accuracy of judging whether the electromagnetic compatibility test of the automobile is qualified is further improved, the safety and the reliability of the automobile can be effectively guaranteed, and potential safety hazards are eliminated.
According to some embodiments of the invention, comprising:
the obstacle judging module is used for carrying out an electromagnetic interference test in a vehicle running state and judging whether an obstacle exists on a vehicle running path or not according to the first environment perception information;
the first calculation module is used for calculating the reliability level of the vehicle passing through the obstacle and judging whether the reliability level is greater than or equal to a preset reliability level or not when the obstacle is determined to exist on the vehicle running path;
and the path planning module is used for replanning the driving path of the vehicle when the reliability level that the vehicle passes through the obstacle is determined to be less than the preset reliability level.
The working principle of the technical scheme is as follows: judging whether an obstacle exists on a vehicle running path or not according to first environment sensing information acquired by environment sensing equipment arranged on the vehicle; when the obstacle exists on the vehicle running path, calculating the reliability level of the vehicle passing over the obstacle and judging whether the reliability level is greater than or equal to a preset reliability level; and when the reliability level that the vehicle passes through the obstacle is determined to be less than the preset reliability level, replanning the running path of the vehicle.
The beneficial effects of the above technical scheme are that: the safety of vehicle driving is guaranteed, the test can be normally carried out, intelligent control is achieved, and the test is safer.
According to some embodiments of the invention, the first calculation module, when determining that an obstacle exists on a vehicle travel path, calculates a reliability level of the vehicle crossing the obstacle and determines whether the reliability level is greater than or equal to a preset reliability level, includes:
calculating the gradient P of vehicle running:
wherein, P1The gradient in the east-west direction; p2The slope in the north-south direction;
calculating the heave height H when the vehicle passes through the obstacle:
H＝max{hi-h0} i＝1,2,3...n
wherein n is the number of areas with different heights of the obstacles; h is0Is the initial height of the vehicle; h isiThe height of the vehicle when the vehicle passes through the ith area of the obstacle;
calculating the reliability grade T of the vehicle crossing the obstacle according to the gradient P of the vehicle running and the heave height H when the vehicle crosses the obstacle:
wherein k is1A first weight coefficient that is a grade of gradient influence reliability level of vehicle travel; p0Is a preset gradient threshold value; k is a radical of2A second weight coefficient, k, which is the influence of the heave height of the vehicle over an obstacle on the reliability level1+k2＝1；H0Is a preset heave height threshold.
The working principle and the beneficial effects of the technical scheme are as follows: and calculating the reliability level of the vehicle crossing the obstacle by considering the gradient of the vehicle on the running road and the undulation height of the vehicle when the vehicle crosses the obstacle, and re-planning the running path of the vehicle when the reliability level of the vehicle crossing the obstacle is determined to be less than the preset reliability level. And when the reliability level that the vehicle passes through the obstacle is determined to be greater than or equal to the preset reliability level, enabling the vehicle to follow the original preset running path. In an example, the first weight coefficient and the second weight coefficient are both 0.5, the preset reliability level is 2, and when the calculated reliability level is less than 2, the driving path of the vehicle needs to be re-planned, so that the calculation accuracy is ensured, and the safety and the reliability in the test process are ensured.
According to some embodiments of the invention, further comprising:
the second acquisition module is used for performing electromagnetic interference test in a static state of the vehicle, and acquiring first electromagnetic values of all electronic devices in the first circuit information according to the first electromagnetic interference test result after the first electromagnetic interference test result is acquired;
the second calculation module is used for respectively calculating first difference values of the first electromagnetic values of the electronic devices and the preset electromagnetic values corresponding to the electronic devices, sorting the first difference values and selecting the electronic device corresponding to the largest first difference value;
the third acquisition module is used for sequentially powering down other electronic devices except the electronic device corresponding to the maximum first difference value and detecting a second electromagnetic value of the electronic device corresponding to the maximum first difference value;
the third calculation module is used for calculating second difference values of the first electromagnetic value and the second electromagnetic value respectively, sequencing the second difference values and selecting the corresponding power-off electronic device with the largest second difference value;
and the correction module is used for setting an electromagnetic shielding device for the power-off electronic device, performing an electromagnetic interference test in a static state of the vehicle and correcting a first electromagnetic interference test result.
The beneficial effects of the above technical scheme are that: the electromagnetic interference source which is the largest in the electromagnetic interference test can be found out, the electromagnetic screen device is arranged on the electromagnetic interference source, the normal operation of other electronic devices in the vehicle is ensured, the electromagnetic interference is reduced, and the safety and the reliability of the vehicle are improved. And meanwhile, an electromagnetic shielding device is arranged on the power-off electronic device, electromagnetic interference test is carried out under the static state of the vehicle, and a first electromagnetic interference test result is corrected. The accuracy of the first electromagnetic interference test result is ensured.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A new energy vehicle detection method based on the Internet of things is characterized by comprising the following steps:
acquiring first circuit information inside a vehicle and first environment perception information outside the vehicle;
according to the first circuit information and the first environment perception information, performing an electromagnetic interference test in a static state of the vehicle to obtain a first electromagnetic interference test result; performing an electromagnetic interference test in a vehicle running state to obtain a second electromagnetic interference test result;
scanning a vehicle for the first time, acquiring first point cloud data of the vehicle, converting the first point cloud data into a three-dimensional coordinate system, generating a first vehicle structure diagram, and performing electromagnetic interference simulation according to the first vehicle structure diagram to acquire an electromagnetic interference simulation result;
obtaining an electromagnetic interference final result according to the first electromagnetic interference test result, the second electromagnetic interference test result and the electromagnetic interference simulation result;
acquiring second circuit information inside the vehicle and second environment perception information outside the vehicle;
according to the second circuit information and the second environment perception information, performing an anti-electromagnetic interference test in a static state of the vehicle to obtain a first anti-electromagnetic interference test result; performing an anti-electromagnetic interference test in a vehicle running state to obtain a second anti-electromagnetic interference test result;
scanning the vehicle for the second time to obtain second point cloud data of the vehicle, converting the second point cloud data into a three-dimensional coordinate system to generate a second vehicle structure diagram, and performing anti-electromagnetic interference simulation according to the second vehicle structure diagram to obtain an anti-electromagnetic interference simulation result;
obtaining an anti-electromagnetic interference final result according to the first anti-electromagnetic interference test result, the second anti-electromagnetic interference test result and the anti-electromagnetic interference simulation result;
the electromagnetic interference test is carried out under the vehicle static state, and a first electromagnetic interference test result is obtained, and the method further comprises the following steps:
acquiring a first electromagnetic numerical value of each electronic device in the first circuit information according to the first electromagnetic interference test result;
respectively calculating first difference values of the first electromagnetic values of the electronic devices and preset electromagnetic values corresponding to the electronic devices, sequencing the first difference values, and selecting the electronic device corresponding to the largest first difference value;
sequentially powering down other electronic devices except the electronic device corresponding to the maximum first difference value, and detecting a second electromagnetic value of the electronic device corresponding to the maximum first difference value;
respectively calculating second difference values of the first electromagnetic value and the second electromagnetic value, sequencing the second difference values, and selecting the power-off electronic device corresponding to the largest second difference value;
and arranging an electromagnetic shielding device on the power-off electronic device, carrying out an electromagnetic interference test in a static state of the vehicle, and correcting a first electromagnetic interference test result.
2. The method for detecting the new energy vehicle based on the internet of things according to claim 1, wherein the electromagnetic interference test is performed in a vehicle driving state, and further comprising:
acquiring the running path information of the vehicle and judging whether the running path information is consistent with the preset running path information;
and when the running path information is determined to be inconsistent with the preset running path information, carrying out correction processing on the running path information.
3. The method for detecting the new energy vehicle based on the internet of things according to claim 1, wherein the electromagnetic interference test is performed in a vehicle driving state, and further comprising:
judging whether an obstacle exists on a vehicle running path or not according to the first environment perception information;
when the obstacle exists on the vehicle running path, calculating the reliability level of the vehicle passing over the obstacle and judging whether the reliability level is greater than or equal to a preset reliability level;
and when the reliability level that the vehicle passes through the obstacle is determined to be less than the preset reliability level, replanning the running path of the vehicle.
4. The method for detecting the new energy vehicle based on the internet of things as claimed in claim 3, wherein the calculating the reliability level of the vehicle crossing the obstacle and judging whether the reliability level is greater than or equal to a preset reliability level comprises:
calculating the gradient P of vehicle running:
wherein, P1The gradient in the east-west direction; p2The slope in the north-south direction;
calculating the heave height H when the vehicle passes through the obstacle:
H＝max{hi-h0}i＝1,2,3...n
wherein n is the number of areas with different heights of the obstacles; h is0Is the initial height of the vehicle; h isiThe height of the vehicle when the vehicle passes through the ith area of the obstacle;
calculating the reliability grade T of the vehicle crossing the obstacle according to the gradient P of the vehicle running and the heave height H when the vehicle crosses the obstacle:
wherein k is1A first weight coefficient that is a grade of gradient influence reliability level of vehicle travel; p0Is a preset gradient threshold value; k is a radical of2A second weight coefficient, k, which is the influence of the heave height of the vehicle over an obstacle on the reliability level1+k2＝1；H0Is a preset heave height threshold.
5. The method for detecting the new energy vehicle based on the internet of things according to claim 1, wherein the electromagnetic interference test is performed in a vehicle driving state, and further comprising:
acquiring vehicle body state information of a vehicle and judging whether the vehicle breaks down or not;
when the vehicle is determined to have a fault, controlling the vehicle to be in a static state and acquiring a diagnosis request instruction sent by a vehicle-mounted diagnosis system arranged in the vehicle and bus data of the vehicle;
establishing remote diagnosis connection between the server and the vehicle according to the diagnosis request instruction, analyzing bus data of the vehicle to obtain a fault diagnosis code, and sending the fault diagnosis code to a vehicle-mounted diagnosis system of the vehicle;
and the vehicle-mounted diagnosis system determines the information of the damaged electronic device in the vehicle according to the fault diagnosis code.
6. The utility model provides a new forms of energy vehicle detecting system based on thing networking which characterized in that includes:
a first obtaining module to:
acquiring first circuit information inside a vehicle and first environment perception information outside the vehicle;
acquiring second circuit information inside the vehicle and second environment perception information outside the vehicle;
a test result obtaining module, configured to:
according to the first circuit information and the first environment perception information, performing an electromagnetic interference test in a static state of the vehicle to obtain a first electromagnetic interference test result; performing an electromagnetic interference test in a vehicle running state to obtain a second electromagnetic interference test result;
according to the second circuit information and the second environment perception information, performing an anti-electromagnetic interference test in a static state of the vehicle to obtain a first anti-electromagnetic interference test result; performing an anti-electromagnetic interference test in a vehicle running state to obtain a second anti-electromagnetic interference test result;
a simulation result obtaining module, configured to:
scanning a vehicle for the first time, acquiring first point cloud data of the vehicle, converting the first point cloud data into a three-dimensional coordinate system, generating a first vehicle structure diagram, and performing electromagnetic interference simulation according to the first vehicle structure diagram to acquire an electromagnetic interference simulation result;
scanning the vehicle for the second time to obtain second point cloud data of the vehicle, converting the second point cloud data into a three-dimensional coordinate system to generate a second vehicle structure diagram, and performing anti-electromagnetic interference simulation according to the second vehicle structure diagram to obtain an anti-electromagnetic interference simulation result;
a final result obtaining module configured to:
obtaining an electromagnetic interference final result according to the first electromagnetic interference test result, the second electromagnetic interference test result and the electromagnetic interference simulation result;
obtaining an anti-electromagnetic interference final result according to the first anti-electromagnetic interference test result, the second anti-electromagnetic interference test result and the anti-electromagnetic interference simulation result;
the second acquisition module is used for performing electromagnetic interference test in a static state of the vehicle, and acquiring first electromagnetic values of all electronic devices in the first circuit information according to the first electromagnetic interference test result after the first electromagnetic interference test result is acquired;
the second calculation module is used for respectively calculating first difference values of the first electromagnetic values of the electronic devices and the preset electromagnetic values corresponding to the electronic devices, sorting the first difference values and selecting the electronic device corresponding to the largest first difference value;
the third acquisition module is used for sequentially powering down other electronic devices except the electronic device corresponding to the maximum first difference value and detecting a second electromagnetic value of the electronic device corresponding to the maximum first difference value;
the third calculation module is used for respectively calculating second difference values of the first electromagnetic value and the second electromagnetic value, sequencing the second difference values and selecting the power-off electronic device corresponding to the largest second difference value;
and the correction module is used for setting an electromagnetic shielding device for the power-off electronic device, performing an electromagnetic interference test in a static state of the vehicle and correcting a first electromagnetic interference test result.
7. The Internet of things-based new energy vehicle detection system of claim 6, comprising:
the obstacle judging module is used for carrying out an electromagnetic interference test in a vehicle running state and judging whether an obstacle exists on a vehicle running path or not according to the first environment perception information;
the first calculation module is used for calculating the reliability level of the vehicle passing through the obstacle and judging whether the reliability level is greater than or equal to a preset reliability level or not when the obstacle is determined to exist on the vehicle running path;
and the path planning module is used for replanning the driving path of the vehicle when the reliability level that the vehicle passes through the obstacle is determined to be less than the preset reliability level.
8. The system for detecting the new energy vehicle based on the internet of things as claimed in claim 7, wherein the first calculating module calculates a reliability level of the vehicle passing through the obstacle and judges whether the reliability level is greater than or equal to a preset reliability level when the obstacle is determined to exist on the driving path of the vehicle, and comprises:
calculating the gradient P of vehicle running:
wherein, P1The gradient in the east-west direction; p2The slope in the north-south direction;
calculating the heave height H when the vehicle passes through the obstacle:
H＝max{hi-h0}i＝1,2,3...n
wherein n is the number of areas with different heights of the obstacles; h is0Is the initial height of the vehicle; h isiThe height of the vehicle when the vehicle passes through the ith area of the obstacle;
calculating the reliability grade T of the vehicle crossing the obstacle according to the gradient P of the vehicle running and the heave height H when the vehicle crosses the obstacle:
wherein k is1A first weight coefficient that is a grade of gradient influence reliability level of vehicle travel; p0Is a preset gradient threshold value; k is a radical of2A second weight coefficient, k, which is the influence of the heave height of the vehicle over an obstacle on the reliability level1+k2＝1；H0Is a preset heave height threshold.
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