CN213384142U - Auxiliary device based on car networking electric automobile intelligence accurate control process of traveling - Google Patents
Auxiliary device based on car networking electric automobile intelligence accurate control process of traveling Download PDFInfo
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- CN213384142U CN213384142U CN202021857220.3U CN202021857220U CN213384142U CN 213384142 U CN213384142 U CN 213384142U CN 202021857220 U CN202021857220 U CN 202021857220U CN 213384142 U CN213384142 U CN 213384142U
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Abstract
The utility model discloses an auxiliary device based on car networking electric automobile intelligence accurate control process of traveling, with whole car controlling means signal connection, auxiliary device is including mobile unit (OBU), roadside equipment (RSU), data acquisition device, slope collection system, speed of a motor vehicle collection system, the fast collection system of wheel, weight collection system, energy recuperation device. The device comprises a data acquisition device, a gradient acquisition device, a vehicle speed acquisition device and a wheel speed acquisition device, wherein the weight acquisition device and the energy recovery device are respectively and independently connected with a signal receiver corresponding to the inside of the whole vehicle control device through signals, and the signal receiver transmits the received signals to a PID control module and a judgment logic module in the whole vehicle control device.
Description
Technical Field
The utility model relates to a pure electric vehicles's controlling means, specifically speaking relates to an auxiliary device based on car networking electric vehicles intelligence accurate control travel process.
Background
The pure electric vehicle belongs to an environment-friendly vehicle with the advantages of zero emission and independence on petroleum resources, and has become the main direction of development of the future automobile industry along with the solution of mileage and charging problems during driving. The existing pure electric vehicles are controlled by a vehicle control device in a centralized manner, signal transmission is carried out by a Controller Area Network (CAN), namely, the vehicle control device receives the operation of a driver to realize starting, stopping, braking, automatic driving and the like, and the vehicle speed is controlled by the operation of the driver in the driving process, namely, the vehicle control device is controlled by an electronic accelerator to realize the adjustment of acceleration and deceleration proportion and the calling of each control module. With the development of Internet technology, the technology of Internet of Vehicles (Internet of Vehicles) is also rapidly developed, for example, a huge interactive network formed by information such as vehicle position, speed and route is in signal connection with a vehicle control device through devices such as GPS, RFID, sensors, camera image processing, etc., so that the vehicle can complete the collection of its own environment and state information, i.e., the vehicle can communicate with Road Side equipment (RSU) through an On Board Unit (OBU), thereby realizing vehicle identification, providing an optimal route, reporting Road conditions in time, etc.
However, due to the development of the above technologies, when the electric vehicle is started, stopped, braked, automatically driven, and adjusted in the acceleration and deceleration ratios, the adjustment and control can still be performed only according to the operation of the driver, even the vehicle identification can be realized, the optimal route can be obtained according to the road conditions, and the like, but the accurate control cannot be realized, the situations of sudden stop, sudden driving and the like of the vehicle cannot be relieved, so that the comfort level of passengers in the vehicle is not sufficient, and the driving operation of the vehicle is not improved.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide an auxiliary device based on car networking electric automobile intelligence accurate control process of traveling not only can increase electric automobile's security, then can be energy-conserving and increase passenger's travelling comfort.
The utility model discloses in based on the auxiliary device of car networking electric automobile intelligence accurate control travel process, with whole car controlling means signal connection, auxiliary device including with whole car controlling means signal connection's mobile unit (OBU), with the trackside equipment (RSU) that the mobile unit communication is connected, auxiliary device is further including:
the data acquisition device is used for acquiring vehicle data in the driving process of the automobile in real time;
the gradient acquisition device is used for acquiring the gradient of the position of the automobile in the running process in real time;
the vehicle speed acquisition device is used for acquiring the vehicle speed of the vehicle in the running process in real time;
the wheel speed acquisition device is used for acquiring the wheel speed of the automobile in the running process in real time;
the weight acquisition device is used for acquiring the weight of the automobile after each stop and start in the running process;
the energy recovery device is used for recovering voltage and current information in the driving process of the automobile;
the device comprises a data acquisition device, a gradient acquisition device, a vehicle speed acquisition device and a wheel speed acquisition device, wherein the weight acquisition device and the energy recovery device are respectively and independently connected with a signal receiver corresponding to the inside of the whole vehicle control device through signals, and the signal receiver transmits the received signals to a PID control module and a judgment logic module in the whole vehicle control device.
Preferably, the data acquisition device is a lane offset acquisition device.
Preferably, the gradient acquisition device is two inclination sensors which are arranged at the front end and the rear end of the bottom in the vehicle body.
Preferably, the wheel speed acquisition means are four wheel speed sensors mounted on the axle.
Preferably, the weight collection device is a vehicle height sensor or a weight sensor directly mounted on the bottom in the vehicle body.
Use the utility model provides a can output driver's intention behind the auxiliary device and judge in advance, can increase the security of traveling and take advantage of the travelling comfort of seat. In addition, a whole vehicle control logic scheme is formed through whole vehicle element analysis, more accurate intelligent control can be performed on running vehicles, and energy can be effectively saved by 10%.
Drawings
Fig. 1 is a schematic structural diagram of the connection between the middle auxiliary device and the vehicle control device.
Detailed Description
The utility model discloses in be exclusively used in pure electric vehicles based on the auxiliary device of car networking electric automobile intelligence accurate control process of traveling, excellent it is used for large-scale public transport passenger train, and large-scale public transport passenger train has passenger's getting on, getting off in the transportation, and the weight change difference is big, and the judgement that leads to the driver easily has the error, controls improper easily. And many passengers are transported, requiring special safety considerations.
As shown in fig. 1, the utility model discloses in based on car networking electric automobile intelligence accurate control process of traveling auxiliary device includes data acquisition device, slope collection system, speed of a motor vehicle collection system, the fast collection system of wheel, weight collection system, energy recuperation device and mobile unit. The data acquisition device, the gradient acquisition device, the vehicle speed acquisition device, the wheel speed acquisition device, the weight acquisition device, the energy recovery device and the vehicle-mounted equipment are respectively and independently connected with corresponding receivers in the vehicle control device in a signal connection mode, acquired data signals are respectively transmitted into the vehicle control device, and a PID (proportion-integral-derivative controller) control module and a judgment logic module in the vehicle control device output a vehicle control logic scheme and driver intention prejudgment through comparison of required vehicle speed and actual vehicle speed and judgment of gears. Specifically, the method comprises the following steps:
data acquisition device for the concrete data of real-time acquisition car during car driving process, the utility model provides a data acquisition device is lane skew collection system, acquires the lane skew data of going through Controller Area Network (CAN, Controller Area Network) in putting in order car controlling means.
Slope collection system for the slope of the position that the car was located is gathered in real time to the car travel process time, the utility model provides a slope collection system is inclination sensor, including installing two inclination sensor at bottom front and back both ends in the automobile body, obtains the slope of car position through calculating two inclination sensor's difference in height around.
Speed of a motor vehicle collection system for the speed of a motor vehicle that the car travel was gathered in real time during the car process of traveling, the utility model discloses a speed of a motor vehicle sensor acquires the speed of a motor vehicle data of traveling through CAN (controller Area network) control system in the whole car controlling means.
The fast collection system of wheel for the wheel speed of every wheel of real-time acquisition car during the car process of traveling, the utility model discloses an install at epaxial four wheel speed sensor of wheel.
Weight collection system for gather the weight after the automobile driving process stops, starts at every turn, the utility model discloses a vehicle height sensor calculates whole car weight according to information such as the speed of a motor vehicle, moment of torsion, acceleration, the slope that CAN (controller Area network) control system provided again. Of course, the weight sensor may be mounted on the bottom portion of the vehicle body.
The energy recovery device is used for recovering voltage and current information in the running process of the automobile, and the utility model adopts a braking energy recovery device.
The vehicle-mounted equipment (OBU, On board Unit) acquires real-time data of the vehicle through Road Side equipment (RSU, Road Side Unit) connected in a communication mode, wherein the real-time data comprises data between vehicles and roads.
The lane deviation collecting device, the gradient collecting device, the vehicle speed collecting device, the wheel speed collecting device, the weight collecting device, the energy recovery device and the vehicle-mounted equipment respectively transmit collected data signals to the whole vehicle control device, and a whole vehicle control logic scheme and driver intention prejudgment are output by comparing a PID control module and a judgment logic module in the whole vehicle control device with a required vehicle speed and an actual vehicle speed and judging gears. The driver intention prejudgment comprises information such as acceleration, acceleration proportion, deceleration, acceleration and deceleration proportion, starting and stopping and the like. The whole vehicle control logic scheme comprises information such as starting, stopping, accelerating requirement and torque, decelerating requirement and torque, braking and the like. The output whole vehicle control logic scheme and the driver intention prejudgment are simultaneously transmitted to the brake control device and the pedal control device, the operation of the driver is buffered and assisted when the driver gives the operation, and the overdriven driving caused by improper operation or excessive force of the driver is relieved, so that the discomfort of passengers caused by the operation of the driver can be relieved.
In conclusion, use the utility model provides a can control the travel process of car more accurately behind the auxiliary device, because there is the output that driver's intention was prejudged, can increase the security of traveling and the travelling comfort of riding. In addition, the vehicle is accurately controlled through the output of the whole vehicle control logic scheme, namely, the logic judgment based on the analysis of all elements (lane deviation, gradient, vehicle speed, wheel speed, weight, energy and road condition) of the whole vehicle, so that the running vehicle can be more accurately and intelligently controlled, and the energy can be effectively saved by 10%.
Claims (5)
1. The utility model provides an auxiliary device based on car networking electric automobile intelligence accurate control process of traveling, with whole car controlling means signal connection, auxiliary device including with whole car controlling means signal connection's mobile unit, with the trackside equipment that the mobile unit communication is connected, its characterized in that, auxiliary device is further including:
the data acquisition device is used for acquiring vehicle data in the driving process of the automobile in real time;
the gradient acquisition device is used for acquiring the gradient of the position of the automobile in the running process in real time;
the vehicle speed acquisition device is used for acquiring the vehicle speed of the vehicle in the running process in real time;
the wheel speed acquisition device is used for acquiring the wheel speed of the automobile in the running process in real time;
the weight acquisition device is used for acquiring the weight of the automobile after each stop and start in the running process;
the energy recovery device is used for recovering voltage and current information in the driving process of the automobile;
the device comprises a data acquisition device, a gradient acquisition device, a vehicle speed acquisition device and a wheel speed acquisition device, wherein the weight acquisition device and the energy recovery device are respectively and independently connected with a signal receiver corresponding to the inside of the whole vehicle control device through signals, and the signal receiver transmits the received signals to a PID control module and a judgment logic module in the whole vehicle control device.
2. The auxiliary device for intelligently and accurately controlling the driving process based on the electric automobiles in the internet of vehicles according to claim 1, wherein the data acquisition device is a lane deviation acquisition device.
3. The auxiliary device for intelligently and accurately controlling the driving process of the electric automobile based on the internet of vehicles according to claim 1, wherein the gradient acquisition devices are two inclination sensors which are arranged at the front end and the rear end of the bottom in the automobile body.
4. The auxiliary device for intelligently and accurately controlling the driving process based on the internet-of-vehicles electric vehicles as claimed in claim 1, wherein the wheel speed acquisition device is four wheel speed sensors mounted on the wheel axle.
5. The auxiliary device for intelligently and accurately controlling the driving process based on the electric automobile networked with the vehicle as claimed in claim 1, wherein the weight acquisition device is a vehicle height sensor or a weight sensor directly installed at the bottom in the automobile body.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202021857220.3U CN213384142U (en) | 2020-08-31 | 2020-08-31 | Auxiliary device based on car networking electric automobile intelligence accurate control process of traveling |
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| CN202021857220.3U CN213384142U (en) | 2020-08-31 | 2020-08-31 | Auxiliary device based on car networking electric automobile intelligence accurate control process of traveling |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114397845A (en) * | 2022-01-14 | 2022-04-26 | 重庆长安汽车股份有限公司 | Automatic driving longitudinal motion control system and control method based on vehicle weight |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114397845A (en) * | 2022-01-14 | 2022-04-26 | 重庆长安汽车股份有限公司 | Automatic driving longitudinal motion control system and control method based on vehicle weight |
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