Vehicle wind resistance optimization method and system

Abstract

The invention relates to a vehicle wind resistance optimization method and system, and the method comprises the steps: a simulation model construction step: constructing a vehicle operation environment simulation model and a vehicle simulation model, taking the reduction of a wind resistance coefficient as an optimization target, carrying out the vehicle operation simulation analysis, and obtaining optimization simulation data; a driving assistance function development step: performing driving assistance system function development on the real vehicle based on the optimized simulation data; an interactive display function development step: developing the interactive display function of the display screen based on the driving assistance system; the fuel efficiency and the driving safety are improved, the environmental influence is reduced, and wide application prospects and economic benefits are achieved.

Description

Technical Field

[0001] The present invention relates to the field of automobile technology, and in particular to a vehicle wind resistance optimization method and system. Background Art

[0002] According to current market research, under the same conditions, a 10% reduction in the drag coefficient of a heavy-duty truck can save approximately 7% in fuel consumption. Existing technologies often focus on optimizing the appearance and proportions of heavy-duty trucks to reduce wind resistance, such as by adding deflectors (such as roof deflectors, side deflectors, and side skirts).

[0003] However, the effect on air resistance by changing the vehicle's appearance and proportions is only 40%, and the effect of reducing wind resistance brought about by such changes in the physical appearance of the cab is also limited; and during vehicle driving, according to the air resistance calculation formula, the vehicle's driving resistance is proportional to the square of the vehicle speed, and the power consumption is proportional to the cube of the vehicle speed. As the speed increases, the wind resistance will increase according to the square law, and fuel consumption will increase. Summary of the Invention

[0004] The purpose of the present invention is to provide a vehicle wind resistance optimization method and system to address the deficiencies of the prior art.

[0005] The present invention is achieved by adopting the following technical solutions:

[0006] A vehicle wind resistance optimization method, the method comprising:

[0007] Simulation model construction steps: construct a vehicle operating environment simulation model and a vehicle simulation model, conduct vehicle operation simulation analysis with the reduction of wind resistance coefficient as the optimization goal, and obtain optimization simulation data;

[0008] Driving assistance function development steps: Develop driving assistance system functions for real vehicles based on optimized simulation data;

[0009] Interactive display function development steps: Develop interactive display functions for the display screen based on the driving assistance system.

[0010] As a further illustration of the invention, constructing a vehicle operating environment simulation model includes:

[0011] Obtain vehicle operating environment information, including wind speed information, wind direction information, and road condition information;

[0012] A vehicle operating environment simulation model is constructed based on the vehicle operating environment information.

[0013] As a further illustration of the invention, constructing a vehicle simulation model includes:

[0014] Obtain vehicle information, including vehicle type, front vehicle speed, rear vehicle speed, and rear vehicle following distance;

[0015] Build a vehicle simulation model based on vehicle information.

[0016] As a further illustration of the invention, with the reduction of wind resistance coefficient as the optimization goal, a vehicle operation simulation analysis is performed to obtain optimization simulation data, including:

[0017] The drag coefficients of vehicle queues under different operating environments, different vehicle speeds, and different following distances are calculated and analyzed to obtain optimized simulation data.

[0018] As a further illustration of the invention, when vehicles are in a queue, at the same speed, as the distance between the rear vehicle and the rear vehicle decreases, the drag coefficient of the rear vehicle decreases nonlinearly; at different speeds, the distance between the rear vehicle and the rear vehicle is the same, and the drag coefficient of the rear vehicle is basically the same.

[0019] As a further illustration of the invention, the development of driving assistance system functions for a real vehicle based on optimized simulation data includes:

[0020] Develop an algorithm for optimizing following distance;

[0021] Calculate the optimal following distance based on the following distance optimization algorithm;

[0022] Based on the optimal following distance and the vehicle's operating status, the optimal vehicle speed at the current following distance is calculated.

[0023] As a further illustration of the invention, the development of interactive display functions for the display screen based on the driving assistance system includes:

[0024] The display shows the drag coefficient and optimization suggestions, including:

[0025] The drag coefficient and optimal following speed recommendations at the current following distance.

[0026] A vehicle wind resistance optimization system, comprising any of the above vehicle wind resistance optimization methods, comprising:

[0027] A data acquisition module is used to collect vehicle operating environment information, vehicle information, and vehicle operating status information;

[0028] The data processing and calculation module is used to upload the information collected by the data acquisition module to the driving assistance controller, which processes and calculates the drag coefficient and optimization suggestions;

[0029] The dashboard interactive display module is used to communicate information processed and calculated by the driver assistance controller to the dashboard, which displays the drag coefficient and optimization suggestions, including:

[0030] The drag coefficient and optimal following speed recommendations at the current following distance.

[0031] Compared with the prior art, the present invention has the following beneficial technical effects:

[0032] Without changing the appearance of the vehicles, the present invention can utilize the aerodynamic characteristics of platooning, take advantage of the backflow wind resistance formed on the following vehicle after the leading vehicle breaks the wind, and reduce the direct wind resistance coefficient of the following vehicle as much as possible. Then, through intelligent technology, the wind-breaking effect of the tractor platoon is utilized, combined with the driving assistance system, to provide the driver with real-time wind resistance optimization suggestions. The present invention not only improves fuel efficiency and driving safety, but also helps to reduce environmental impact, and has broad application prospects and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a flow chart of the method of the present invention.

[0034] Figure 2 The first drag coefficient variation curve corresponding to the vehicle platoon at the same following speed and different following distances provided by the present invention;

[0035] Figure 3 The second drag coefficient variation curve corresponding to the vehicle platoon provided by the present invention at the same following speed and different following distances;

[0036] Figure 4 This is the third drag coefficient variation curve corresponding to the vehicle queue at the same following speed and different following distances provided by the present invention. DETAILED DESCRIPTION

[0037] Example 1

[0038] like Figure 1-4 As shown, the vehicle wind resistance optimization method includes:

[0039] Simulation model construction steps: construct a vehicle operating environment simulation model and a vehicle simulation model, conduct vehicle operation simulation analysis with the reduction of wind resistance coefficient as the optimization goal, and obtain optimization simulation data;

[0040] Driving assistance function development steps: Develop driving assistance system functions for real vehicles based on optimized simulation data;

[0041] Interactive display function development steps: Develop interactive display functions for the display screen based on the driving assistance system.

[0042] Furthermore, a vehicle operating environment simulation model is constructed, including:

[0043] Obtain vehicle operating environment information, including wind speed information, wind direction information, and road condition information;

[0044] A vehicle operating environment simulation model is constructed based on the vehicle operating environment information.

[0045] Furthermore, a vehicle simulation model is constructed, including:

[0046] Obtain vehicle information, including vehicle type, front vehicle speed, rear vehicle speed, and rear vehicle following distance;

[0047] Build a vehicle simulation model based on vehicle information.

[0048] Furthermore, with the reduction of wind resistance coefficient as the optimization goal, vehicle operation simulation analysis is carried out to obtain optimization simulation data, including:

[0049] The drag coefficients of vehicle queues under different operating environments, different vehicle speeds, and different following distances are calculated and analyzed to obtain optimized simulation data.

[0050] When vehicles are in a queue, at the same speed, as the distance between the rear vehicle and the rear vehicle decreases, the drag coefficient of the rear vehicle decreases nonlinearly; at different speeds, the distance between the rear vehicle and the rear vehicle is the same, and the drag coefficient of the rear vehicle is basically the same.

[0051] As mentioned above, in a platoon, the leading vehicle disrupts the oncoming air flow during its travel, creating a certain amount of airflow disturbance. This disturbance creates a relatively stable area near the trailing vehicle, known as the backflow resistance zone. By precisely controlling the distance between the trailing and leading vehicles, the trailing vehicle can enter this backflow zone, significantly reducing the wind resistance directly affecting the vehicle at the rear of the platoon. Therefore, based on vehicle cab simulation technology, three commercial trucks with identical cabs and cargo boxes were platooned at speeds of 60 km / h, 70 km / h, and 80 km / h, respectively. CAE simulation software was used to analyze the wind resistance of the heavy truck cabs. The external flow field resistance of the three vehicles was calculated for distances of 20 m, 30 m, 40 m, 50 m, and 60 m. As shown in the figure, at the same speed, as the distance between the following vehicles increases, the drag coefficient (Cd) of both the trailing and trailing vehicles increases nonlinearly, maintaining a difference of more than 10% from the lead vehicle's drag coefficient. Simulation results show that at the same speed, the following and trailing vehicles significantly reduce wind resistance when they maintain an appropriate distance from the lead vehicle. The simulation results show that: 1. Platooning effectively reduces the drag coefficient of the following and trailing vehicles; 2. At the same speed, the smaller the following distance, the smaller the drag coefficient of the following and trailing vehicles; and 3. At different speeds and the same following distance, the drag coefficient of each vehicle does not change significantly.

[0052] The development of driving assistance system functions for real vehicles based on optimized simulation data includes:

[0053] Develop an algorithm for optimizing following distance;

[0054] Calculate the optimal following distance based on the following distance optimization algorithm;

[0055] Based on the optimal following distance and the vehicle's operating status, the optimal vehicle speed at the current following distance is calculated.

[0056] As mentioned above, based on the vehicle driving assistance system technology, the heavy truck driving assistance function is developed, and the optimization simulation data acquisition, calculation, analysis and judgment logic programs are integrated into the various functional components of the vehicle driving assistance system. For example, various wind resistance related information is obtained by using sensors, cameras, etc. The driving assistance controller formulates a following distance optimization algorithm based on various wind resistance related information. The algorithm will calculate the optimal following distance based on factors such as real-time wind speed, wind direction, vehicle model and fleet speed. This distance can ensure that the following vehicle fully utilizes the wind-breaking effect of the front vehicle, and can also ensure sufficient braking distance at different vehicle speeds.

[0057] Development of interactive display functions for the display screen based on the driving assistance system, including:

[0058] The display shows the drag coefficient and optimization suggestions, including:

[0059] The drag coefficient and optimal following speed recommendations at the current following distance.

[0060] As mentioned above, based on the interactive display technology of the driving assistant and the instrument panel, the interactive display function of the instrument panel is developed. The driving assistant can calculate and display the optimal vehicle speed at the current following distance in real time according to the optimal following distance. These suggestions will take into account the speed and acceleration of the leading vehicle, the distance between the leading vehicle and the following vehicle, and external environmental factors, such as wind speed and road conditions. For example, when the distance to the leading vehicle is less than the optimal following distance, the optimal following speed displayed on the instrument is reduced with appropriate acceleration. When the distance to the leading vehicle is greater than the optimal following distance, the optimal following speed displayed on the instrument is increased with appropriate acceleration. The instrument panel will display the current drag coefficient in real time to help the driver understand the vehicle's performance in the airflow. The driver can adjust the speed and following distance based on this information to achieve the best wind resistance effect. Through the combination of color, graphics and text, the driver can quickly understand the current wind resistance status and recommended driving operations.

[0061] Example 2

[0062] A vehicle wind resistance optimization system, including any of the above vehicle wind resistance optimization methods, comprising:

[0063] A data acquisition module is used to collect vehicle operating environment information, vehicle information, and vehicle operating status information;

[0064] The data processing and calculation module is used to upload the information collected by the data acquisition module to the driving assistance controller, which processes and calculates the drag coefficient and optimization suggestions;

[0065] The dashboard interactive display module is used to communicate information processed and calculated by the driver assistance controller to the dashboard, which displays the drag coefficient and optimization suggestions, including:

[0066] The drag coefficient and optimal following speed recommendations at the current following distance.

[0067] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

[0068] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A vehicle wind resistance optimization method, characterized in that: The method comprises: Simulation model construction steps: construct a vehicle operation environment simulation model and a vehicle simulation model, conduct vehicle operation simulation analysis with the reduction of wind resistance coefficient as the optimization goal, and obtain optimization simulation data; Driving assistance function development steps: Develop driving assistance system functions for real vehicles based on optimized simulation data; Interactive display function development steps: Develop interactive display functions for the display screen based on the driving assistance system.

2. The vehicle wind resistance optimization method according to claim 1, characterized in that: Build a simulation model of the vehicle operating environment, including: Obtain vehicle operating environment information, including wind speed information, wind direction information, and road condition information; A vehicle operating environment simulation model is constructed based on the vehicle operating environment information.

3. The vehicle wind resistance optimization method according to claim 2, characterized in that: Build a vehicle simulation model, including: Obtain vehicle information, including vehicle type, front vehicle speed, rear vehicle speed, and rear vehicle following distance; Build a vehicle simulation model based on vehicle information.

4. The vehicle wind resistance optimization method according to claim 3, characterized in that: With the reduction of wind resistance coefficient as the optimization goal, vehicle operation simulation analysis is carried out to obtain optimization simulation data, including: The drag coefficients of vehicle queues under different operating environments, different vehicle speeds, and different following distances are calculated and analyzed to obtain optimized simulation data.

5. The vehicle wind resistance optimization method according to claim 4, characterized in that: When vehicles are in a queue, at the same speed, as the distance between the rear vehicle and the rear vehicle decreases, the drag coefficient of the rear vehicle decreases nonlinearly; at different speeds, the distance between the rear vehicle and the rear vehicle is the same, and the drag coefficient of the rear vehicle is basically the same.

6. The vehicle wind resistance optimization method according to claim 5, characterized in that: Develop driver assistance system functions for real vehicles based on optimized simulation data, including: Develop an algorithm for optimizing following distance; Calculate the optimal following distance based on the following distance optimization algorithm; Based on the optimal following distance and the vehicle's operating status, the optimal vehicle speed at the current following distance is calculated.

7. The vehicle wind resistance optimization method according to claim 6, characterized in that: Development of interactive display functions for the display screen based on the driving assistance system, including: The display shows the drag coefficient and optimization suggestions, including: The drag coefficient and optimal following speed recommendations at the current following distance.

8. A vehicle wind resistance optimization system, comprising the vehicle wind resistance optimization method according to any one of claims 1 to 7, characterized in that: include: A data acquisition module is used to collect vehicle operating environment information, vehicle information, and vehicle operating status information; The data processing and calculation module is used to upload the information collected by the data acquisition module to the driving assistance controller, which processes and calculates the drag coefficient and optimization suggestions; The dashboard interactive display module is used to communicate information processed and calculated by the driver assistance controller to the dashboard, which displays the drag coefficient and optimization suggestions, including: The drag coefficient and optimal following speed recommendations at the current following distance.

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