Automobile exhaust emission monitoring device and control method thereof in economic driving
By integrating the exhaust emission monitoring device of Beidou positioning module, Internet of Things transmission module and vehicle exhaust monitoring module, real-time monitoring of vehicle exhaust emissions is monitored and analyzed, and an economic driving model is built, which solves the problem of difficult monitoring and control of exhaust emissions in the transportation field, and realizes exhaust gas Reduced emissions and improved fuel utilization efficiency.
Patent Information
- Application Number
- CN202411258912.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-10
- Publication Date
- 2024-12-13
AI Technical Summary
The lack of an effective real-time monitoring network for automobile exhaust has led to the failure to effectively solve the environmental pollution problem in the transportation field, making it difficult to achieve the "dual carbon" goal.
Develop an exhaust emission monitoring device integrating Beidou positioning module, Internet of Things transmission module and automobile exhaust monitoring module to monitor vehicle exhaust emissions in real time, and build an economic driving model based on historical data to induce drivers to reduce transportation costs and reduce exhaust emissions .
Real-time monitoring and controllability of vehicle exhaust emissions has been achieved. Through economic driving mode and speed induction, exhaust emissions have been reduced by 12%-15%, fuel utilization efficiency has been improved by more than 8%, and energy conservation and emission reduction goals have been achieved.
Smart Images
Figure CN119116861A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of traffic engineering, and is an exhaust emission monitoring device integrating a Beidou positioning module, an Internet of Things transmission module and an automobile exhaust monitoring module, and a control method for guiding vehicle economic driving based on monitoring data modeling. Background Art
[0002] In response to global climate change, my country has proposed the "dual carbon" goal of striving to reach a peak in carbon dioxide emissions by 2030 and achieving carbon neutrality by 2060. According to statistics, carbon emissions in the transportation sector account for 15% of the country's terminal carbon emissions, of which road transportation accounts for 75% of carbon emissions in the transportation sector, and the average annual growth rate of carbon emissions in the transportation sector has been above 5% in recent years. It can be seen that promoting the realization of the "dual carbon" goals in the transportation sector is an important means to accelerate the green and low-carbon transformation of the industry and promote the high-quality development of transportation. At present, the macro-control of carbon emissions in the transportation sector is mainly reversed through the guidance of transportation policies, such as encouraging the development and use of new energy vehicles; while for existing transportation tools, there is a lack of effective control measures, resulting in the environmental pollution problems caused by transportation has not been effectively solved, which is not conducive to the realization of my country's "dual carbon" goals. The key to the problem is that there is no effective real-time monitoring network for automobile exhaust, and there is a lack of large-scale exhaust emission data in the transportation process, so it is difficult to explore the laws of automobile exhaust emissions and guide the reasonable organization and control of traffic flow.
[0003] Based on this, it is planned to build an exhaust emission monitoring device that integrates Beidou positioning module, Internet of Things transmission module and automobile exhaust monitoring module to monitor the exhaust emission status of the vehicle in real time during operation. By combining the exhaust emission data with vehicle type, load, speed, acceleration, terrain and other factors, an economic driving model for various traffic scenarios is constructed to guide drivers to drive rationally to reduce transportation costs and reduce automobile exhaust emissions, thereby achieving the goal of monitorable and controllable automobile exhaust emissions. Summary of the invention
[0004] In order to solve the above problems, the present invention provides an automobile exhaust emission monitoring device and a control method thereof in economical driving.
[0005] The present invention relates to an automobile exhaust emission monitoring device and a control method thereof in economical driving, comprising the following steps:
[0006] Step 1: Develop an automobile exhaust emission monitoring device to monitor automobile exhaust emission conditions in real time;
[0007] Step 2: Calibrate the mean value of automobile exhaust emissions under different terrains and vehicle conditions based on historical collected data;
[0008] Step 3: Determine the economic driving mode and driving speed to induce green driving of the vehicle.
[0009] Furthermore, in step one, the automobile exhaust emission monitoring device developed is composed of an exhaust gas flow sampling tube, a gas pressure flow sensor, an infrared CO2 concentration detector, a Beidou positioning module, a wireless communication MCU, and a power module.
[0010] The exhaust gas testing process is shown in Figure 2 The high-temperature exhaust gas emitted by the car is connected to the device through the exhaust gas flow sampling tube. First, the gas pressure flow sensor detects the flow of the exhaust gas; secondly, the exhaust gas enters the gas sampling tube for shunt sampling, temperature detection and temperature compensation of the gas flow; then the solenoid valve is opened, and part of the gas enters the sampling chamber to detect the exhaust gas composition; then each sensor transmits the detection data to the microprocessor to complete the analysis of the total amount of exhaust emissions and obtain the exhaust emission equivalent m within a fixed length period.
[0011]
[0012] In the formula, ρ i is the CO2 concentration value of the i-th sampling in the cycle, Q1 is the flow meter detection value at the end of the cycle, Q0 is the flow meter count value at the beginning of the cycle, T is the sampling cycle of the sampling bin, t1 is the sampling end time, and t0 is the sampling start time.
[0013] Finally, the exhaust emission equivalent, the positioning data collected by the Beidou positioning module, and the vehicle speed are uploaded to the cloud platform through the wireless communication module MCU.
[0014] The cloud platform uses the collected vehicle positioning data and the exhaust emission equivalent m to calculate the exhaust emission e at the jth point. j :
[0015]
[0016] Where R is the sampling range; φ c is the vehicle coefficient, which has different values for different types of vehicles and remains unchanged for the same vehicle; φ f is the road condition coefficient, which remains unchanged for the same road section; X, Y are the coordinate information obtained by the Beidou positioning module. The sampling start time of the jth point, The end time of sampling at point j.
[0017] Combination Figure 3 and Figure 4 Introduce the mechanical structure and function of automobile exhaust emission monitoring device:
[0018] First, the device is fixed to the rear of the automobile muffler (not shown) through part 1 and is completely locked and fixed. The other end of the device is connected to the exhaust pipe (not shown) through part 6 and is locked and fixed.
[0019] Secondly, the automobile exhaust pipe and the detection device are sealed and connected via the structure 10 (8×M6 screw holes) and the structure 11 (8×M6 screw holes).
[0020] Turn on the power switch of this device, complete the IoT adaptation and networking operations, and bind user information.
[0021] The exhaust gas enters the main gas path of the device through part 1, and then the total flow of the exhaust gas is detected by device 2. Next, the exhaust gas enters device 3 to complete the analysis and detection of the exhaust gas composition. Device 7 is a temperature sensor to achieve temperature detection and temperature compensation of high-temperature gas. When device 5 (gas sampling solenoid valve) is opened, the sampled gas enters the gas detection chamber (not marked) under the action of pressure to complete the component detection of the high-temperature gas. The detected gas is discharged through device 8 (one-way valve) to prevent interference with the next sampling.
[0022] When the device is working, it completes the real-time positioning detection and speed detection of the vehicle through the Beidou positioning module, and completes the detection of the vehicle mileage through distance integration.
[0023] The above information is collected by the wireless communication MCU and uploaded to the IoT platform. The collected data includes time, location, driving behavior (acceleration, deceleration, constant speed), vehicle speed, exhaust emissions (including NO x , CO x wait).
[0024] Furthermore, in step 2, based on the historical data of the same type of vehicles on the same road section, the data is classified according to the speed range and initially divided into 60 categories, namely (0,5], (5,10], (10,15], ..., (115,120). For the sampling data in the same speed range, the running state of the vehicle (acceleration, constant speed or deceleration) is identified according to the change of the speed before and after, as follows:
[0025]
[0026] In the formula, s a is the vehicle running state, 1 represents acceleration, 0 represents constant speed, and -1 represents deceleration; v ij represents the speed of vehicle i at the jth collection point; v0 represents the speed state judgment threshold.
[0027] For each operating state (acceleration, constant speed or deceleration), the exhaust emissions in the same speed range are calculated. j Arrange from small to large and establish the following objective function to divide it into 2 intervals, with the center point of each interval being e k , radius r k , the data size covered by the two intervals should not be less than 95% of the total, that is:
[0028]
[0029] Where n a is the total amount of data; n c Indicates the amount of data contained in two intervals.
[0030] The above two intervals represent the exhaust emission range of the vehicle in the acceleration, constant speed or deceleration state of the speed range under no load and load, respectively. The middle value of the interval is the average exhaust emission value of the vehicle under this working condition. limit Based on this, the speed range (v limit -5,v limit The average exhaust emission value of the vehicle of the same type is compared with the exhaust emission reference value of the same type of vehicle in the same speed range when driving at a constant speed uphill, flat slope, and downhill to identify the terrain of the road (uphill, flat slope, downhill). Thus, the average exhaust emission value of the vehicle under different operating conditions (acceleration, constant speed or deceleration), load (no load, load) and terrain (uphill, flat slope, downhill) is obtained, that is:
[0031] s rolg =e k
[0032] In the formula, s rolg is the mean value of automobile exhaust emissions under speed range r, operating state o, load l and terrain g; e k It is the average value of automobile exhaust emissions under this working condition.
[0033] Furthermore, in step 3, the exhaust emissions of the same type of vehicles on the same road section under acceleration, constant speed, and deceleration are sorted from small to large according to the speed range, and the minimum exhaust emissions under each operating state are obtained:
[0034] e mode,min =min{e i :i=1,…,n}
[0035] In the formula, e mode,min The exhaust gas emission in the mode is the minimum value, and there is an acceleration mode (e a,min ), uniform speed mode (e u,min ), deceleration mode (e d,min ) three types; e i is the mean exhaust emission value in speed interval i.
[0036] If the upper limit of speed interval i is not greater than the road speed limit v limit , the upper limit of speed interval i is the economic driving speed in mode; otherwise, the road speed limit v limit As the upper limit, determine the number of speed intervals j included, and redetermine emode,min =min{e i :i=1,…,j}. At this time, the minimum e i The corresponding speed range i upper limit is the economic driving speed in mode. mode,min ,Right now:
[0037] E min =min{e a,min ,e u,min ,e d,min}
[0038] The driving mode with the lowest exhaust emissions is selected as the economic driving mode. i The upper limit of the corresponding speed interval i is used as the economic driving speed. The vehicle speed and driving mode are guided by navigation software and roadside variable information boards to achieve the purpose of green driving.
[0039] Beneficial Effects
[0040] The present invention provides an automobile exhaust emission monitoring device and a control method thereof in economic driving. By developing an automobile exhaust emission monitoring device, real-time monitoring of automobile exhaust emission, terrain, and vehicle operation status is achieved, providing data support for the determination of subsequent traffic induction strategies. The present invention can monitor the emission status of automobile exhaust in various working conditions in real time. The economic driving control method obtained based on historical data collection modeling can achieve the induction of vehicle driving mode and optimal economic driving speed. Simulation analysis shows that under the induction of optimal driving mode and economic driving speed, vehicle exhaust emissions can be reduced by 12%-15%, fuel efficiency can be increased by more than 8%, and the goal of energy saving and emission reduction can be achieved. The application prospect is very broad. BRIEF DESCRIPTION OF THE DRAWINGS
[0041] Figure 1 Flow chart for implementing the present invention
[0042] Figure 2 Flowchart of automobile exhaust emission monitoring device
[0043] Figure 3 This is a diagram illustrating the mechanical structure of the automobile exhaust emission monitoring device.
[0044] Figure 4 Model diagram of automobile exhaust emission monitoring device DETAILED DESCRIPTION
[0045] The following combination Figure 1 to Figure 4 The embodiments of the present invention will be described in detail.
[0046] The present invention provides an automobile exhaust emission monitoring device and a control method thereof in economical driving, and the process is summarized as follows:
[0047] First, an exhaust emission monitoring device integrating Beidou positioning module, Internet of Things transmission module and automobile exhaust monitoring module is developed. It is installed at the end of the automobile exhaust pipe to collect real-time data on exhaust emissions, and the collected data is sent to the Internet of Things platform through wireless communication MCU to complete real-time monitoring of automobile operating status, exhaust emissions, terrain and other data.
[0048] Secondly, based on historically collected data, the average automobile exhaust emissions under different terrains and vehicle conditions are calibrated.
[0049] Finally, the economic driving mode and driving speed are determined, and the vehicle is induced to drive at an economic speed through the on-board navigation or roadside variable information boards, thereby reducing travel costs and reducing automobile exhaust emissions.
[0050] The above-mentioned vehicle exhaust emission monitoring device and its control method in economic driving, the implementation process is shown in Figure 1 , the specific implementation steps are as follows:
[0051] Step 1: Develop an automobile exhaust emission monitoring device to monitor automobile exhaust emissions in real time
[0052] The developed automobile exhaust emission monitoring device consists of an exhaust gas flow sampling tube, a gas pressure flow sensor, an infrared CO2 concentration detector, a Beidou positioning module, a wireless communication MCU, and a power module.
[0053] The exhaust gas testing process is shown in Figure 2 The high-temperature exhaust gas emitted by the car is connected to the device through the exhaust gas flow sampling tube. First, the gas pressure flow sensor detects the flow of the exhaust gas; secondly, the exhaust gas enters the gas sampling tube for shunt sampling, temperature detection and temperature compensation of the gas flow; then the solenoid valve is opened, and part of the gas enters the sampling chamber to detect the exhaust gas composition; then each sensor transmits the detection data to the microprocessor to complete the analysis of the total amount of exhaust emissions and obtain the exhaust emission equivalent m within a fixed length period.
[0054]
[0055] In the formula, ρ i is the CO2 concentration value of the i-th sampling in the cycle, Q1 is the flow meter detection value at the end of the cycle, Q0 is the flow meter count value at the beginning of the cycle, T is the sampling cycle of the sampling bin, t1 is the sampling end time, and t0 is the sampling start time.
[0056] Take point A on a flat slope as an example. The same type of vehicles pass through point A at different speeds, and the 2s before and after it is used as the detection range. Assuming that the speed of the vehicle remains unchanged within 4s before and after passing point A, and the automobile exhaust detection device samples once every 0.5s, the exhaust emission equivalent m at different speeds is:
[0057]
[0058] Finally, the exhaust emission equivalent, the positioning data collected by the Beidou positioning module, and the vehicle speed are uploaded to the cloud platform through the wireless communication module MCU.
[0059] The cloud platform uses the collected vehicle positioning data and the exhaust emission equivalent m to calculate the exhaust emission e at the jth point. j :
[0060]
[0061] Where R is the sampling range; φ c is the vehicle coefficient, which has different values for different types of vehicles and remains unchanged for the same vehicle; φ f is the road condition coefficient, which remains unchanged for the same road section; X, Y are the coordinate information obtained by the Beidou positioning module. The sampling start time of the jth point, The end time of sampling at point j.
[0062] Same as point A above, let R = 40m, φ c ,φ f All are taken as 1. At this time, the vehicle exhaust emissions calculated from the above 11 sets of data are shown in the table below.
[0063]
[0064] Combination Figure 3 and Figure 4 Introduce the mechanical structure and function of automobile exhaust emission monitoring device:
[0065] First, the device is fixed to the rear of the automobile muffler (not shown) through part 1 and is completely locked and fixed. The other end of the device is connected to the exhaust pipe (not shown) through part 6 and is locked and fixed.
[0066] Secondly, the automobile exhaust pipe and the detection device are sealed and connected via the structure 10 (8×M6 screw holes) and the structure 11 (8×M6 screw holes).
[0067] Turn on the power switch of this device, complete the IoT adaptation and networking operations, and bind user information.
[0068] The exhaust gas enters the main gas path of the device through part 1, and then the total flow of the exhaust gas is detected by device 2. Next, the exhaust gas enters device 3 to complete the analysis and detection of the exhaust gas composition. Device 7 is a temperature sensor to achieve temperature detection and temperature compensation of high-temperature gas. When device 5 (gas sampling solenoid valve) is opened, the sampled gas enters the gas detection chamber (not marked) under the action of pressure to complete the component detection of the high-temperature gas. The detected gas is discharged through device 8 (one-way valve) to prevent interference with the next sampling.
[0069] When the device is working, it completes the real-time positioning detection and speed detection of the vehicle through the Beidou positioning module, and completes the detection of the vehicle mileage through distance integration.
[0070] The above information is collected by the wireless communication MCU and uploaded to the IoT platform. The collected data includes time, location, driving behavior (acceleration, deceleration, constant speed), vehicle speed, exhaust emissions (including NO x , CO x wait).
[0071] Step 2: Calibrate the average value of automobile exhaust emissions under different terrains and vehicle conditions based on historical data
[0072] Based on the historical data collected from the same type of vehicles on the same road section, the data is initially divided into 60 categories according to the speed range, namely (0,5], (5,10], (10,15], ..., (115,120). For the sampling data in the same speed range, the running state of the vehicle (acceleration, constant speed or deceleration) is identified according to the changes in the speed before and after. The method is as follows:
[0073]
[0074] In the formula, s a is the vehicle running state, 1 represents acceleration, 0 represents constant speed, and -1 represents deceleration; v ij represents the speed of vehicle i at the jth collection point; v0 represents the speed state judgment threshold.
[0075] At point A above, if the speed state judgment threshold v0 = 1.39 m / s (i.e. 5 km / h), as long as the absolute value of the speed difference between adjacent sampling data is greater than 1.39 m / s, the vehicle is in an acceleration / deceleration state, i.e. s a = ±1; otherwise, it is treated as a uniform speed passage, i.e. s a =0.
[0076] For each operating state (acceleration, constant speed or deceleration), the exhaust emissions in the same speed range are calculated. j Arrange from small to large and establish the following objective function to divide it into 2 intervals, with the center point of each interval being e k , radius rk , the data size covered by the two intervals should not be less than 95% of the total, that is:
[0077]
[0078] Where n a is the total amount of data; n c Indicates the amount of data contained in two intervals.
[0079] At point A above, if the exhaust emission data of the same type of vehicle in the speed range (55,60] under uniform driving state are {0.52, 0.53, 0.52, 0.51, 0.47, 0.52, 0.57, 0.52, 0.43, 0.42, …, 0.54} respectively, then according to the division method of the above formula, it can be divided into the following two intervals (0.43, 0.49) and [0.49, 0.57).
[0080] The above two intervals represent the exhaust emission range of the vehicle in the acceleration, constant speed or deceleration state of the speed range under no load and load, respectively. The middle value of the interval is the average exhaust emission value of the vehicle under this working condition. limit Based on this, the speed range (v limit -5,v limit The average exhaust emission value of the vehicle of the same type is compared with the exhaust emission reference value of the same type of vehicle in the same speed range when driving at a constant speed uphill, flat slope, and downhill to identify the terrain of the road (uphill, flat slope, downhill). Thus, the average exhaust emission value of the vehicle under different operating conditions (acceleration, constant speed or deceleration), load (no load, load) and terrain (uphill, flat slope, downhill) is obtained, that is:
[0081] s rolg =e k
[0082] In the formula, s rolg is the mean value of automobile exhaust emissions under speed range r, operating state o, load l and terrain g; e k It is the average value of automobile exhaust emissions under this working condition.
[0083] At point A above, the average exhaust emission of this model on a flat slope in the speed range (55,60] with no load and constant speed is 0.46.
[0084] Step 3: Determine the economic driving mode and driving speed to induce green driving
[0085] For the exhaust emissions of the same type of vehicles on the same road section under acceleration, constant speed, and deceleration, sort them from small to large according to the speed range, and find the minimum exhaust emissions under each operating state:
[0086] e mode,min =min{e i :i=1,…,n}
[0087] In the formula, e mode,min The exhaust gas emission in the mode is the minimum value, and there is an acceleration mode (e a,min ), uniform speed mode (e u,min ), deceleration mode (e d,min ) three types; e i is the mean exhaust emission value in speed interval i.
[0088] If the upper limit of speed interval i is not greater than the road speed limit v limit , the upper limit of speed interval i is the economic driving speed in mode; otherwise, the road speed limit v limit As the upper limit, determine the number of speed intervals j included, and redetermine e mode,min =min{e i :i=1,…,j}. At this time, the minimum e i The corresponding speed range i upper limit is the economic driving speed in mode. mode,min ,Right now:
[0089] E min =min{e a,min ,e u,min ,e d,min}
[0090] The driving mode with the lowest exhaust emissions is selected as the economic driving mode. i The upper limit of the corresponding speed interval i is used as the economic driving speed. The vehicle speed and driving mode are guided by navigation software and roadside variable information boards to achieve the purpose of green driving.
[0091] Same as point A above, if the uniform speed e 12 The minimum, upper limit v corresponding to speed range 12 is 60Km / h, so the economic driving mode and vehicle speed at point A are: constant speed, 60Km / h.
[0092] The above contents of the present invention are only preferred implementation cases of the present invention and are not intended to limit the implementation scheme of the present invention. Ordinary technicians in the field can easily make corresponding changes or modifications based on the main concept and spirit of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope required by the claims.
Claims
1. An automobile exhaust emission monitoring device and a control method thereof in economical driving, characterized in that: The steps include: Step 1: Develop an automobile exhaust emission monitoring device to monitor automobile exhaust emission conditions in real time; Step 2: Calibrate the mean value of automobile exhaust emissions under different terrains and vehicle conditions based on historical collected data; Step 3: Determine the economical driving mode and driving speed to induce green driving of the vehicle.
2. The automobile exhaust emission monitoring device and the control method thereof in economical driving according to claim 1, characterized in that: In step one, the automobile exhaust emission monitoring device developed consists of an exhaust gas flow sampling tube, a gas pressure flow sensor, an infrared CO2 concentration detector, a Beidou positioning module, a wireless communication MCU, and a power module. The exhaust gas detection process is shown in Figure 2. The high-temperature exhaust gas emitted by the car is connected to the device through the exhaust gas flow sampling tube. First, the gas pressure flow sensor detects the flow of the exhaust gas; secondly, the exhaust gas enters the gas sampling tube for split sampling, temperature detection and temperature compensation of the gas flow; then the solenoid valve is opened, and part of the gas enters the sampling chamber to detect the exhaust gas composition; then each sensor transmits the detection data to the microprocessor to complete the analysis of the total amount of exhaust emissions and obtain the exhaust emission equivalent m within a fixed length period. In the formula, ρ i is the CO2 concentration value of the i-th sampling in the cycle, Q1 is the flow meter detection value at the end of the cycle, Q0 is the flow meter count value at the beginning of the cycle, T is the sampling cycle of the sampling bin, t1 is the sampling end time, and t0 is the sampling start time. Finally, the exhaust emission equivalent, the positioning data collected by the Beidou positioning module, and the vehicle speed are uploaded to the cloud platform through the wireless communication module MCU. The cloud platform uses the collected vehicle positioning data and the exhaust emission equivalent m to calculate the exhaust emission e at the jth point. j : Where R is the sampling range; φ c is the vehicle coefficient, which has different values for different types of vehicles and remains unchanged for the same vehicle; φ f is the road condition coefficient, which remains unchanged for the same road section; X, Y are the coordinate information obtained by the Beidou positioning module. The sampling start time of the jth point, The end time of sampling at point j. Combined with Figure 3 and Figure 4, the mechanical structure and function of the automobile exhaust emission monitoring device are introduced: First, the device is fixed to the rear of the automobile muffler (not shown) through part 1 and is completely locked and fixed. The other end of the device is connected to the exhaust pipe (not shown) through part 6 and is locked and fixed. Secondly, the automobile exhaust pipe and the detection device are sealed and connected via the structure 10 (8×M6 screw holes) and the structure 11 (8×M6 screw holes). Turn on the power switch of this device, complete the IoT adaptation and networking operations, and bind user information. The exhaust gas enters the main gas path of the device through part 1, and then the total flow of the exhaust gas is detected by device 2. Next, the exhaust gas enters device 3 to complete the analysis and detection of the exhaust gas composition. Device 7 is a temperature sensor to achieve temperature detection and temperature compensation of high-temperature gas. When device 5 (gas sampling solenoid valve) is opened, the sampled gas enters the gas detection chamber (not marked) under the action of pressure to complete the component detection of the high-temperature gas. The detected gas is discharged through device 8 (one-way valve) to prevent interference with the next sampling. When the device is working, it completes the real-time positioning detection and speed detection of the vehicle through the Beidou positioning module, and completes the detection of the vehicle mileage through distance integration. The above information is collected by the wireless communication MCU and uploaded to the IoT platform. The collected data includes time, location, driving behavior (acceleration, deceleration, constant speed), vehicle speed, exhaust emissions (including NO x , CO x wait).
3. The automobile exhaust emission monitoring device and the control method thereof in economical driving according to claim 1, characterized in that: In step 2, based on the historical data of the same type of vehicles on the same road section, the data is classified according to the speed range and initially divided into 60 categories, namely (0,5], (5,10], (10,15], ..., (115,120). For the sampling data in the same speed range, the running state of the vehicle (acceleration, constant speed or deceleration) is identified according to the change of the speed before and after. The method is as follows: In the formula, s a The vehicle running state, 1 represents acceleration, 0 represents constant speed, and -1 represents deceleration; v ij represents the speed of vehicle i at the jth collection point; v0 represents the speed state judgment threshold. For each operating state (acceleration, constant speed or deceleration), the exhaust emissions in the same speed range are calculated. j Arrange from small to large and establish the following objective function to divide it into 2 intervals, with the center point of each interval being e k , radius r k , the data size covered by the two intervals should not be less than 95% of the total, that is: Where n a is the total amount of data; n c Indicates the amount of data contained in two intervals. The above two intervals represent the exhaust emission range of the vehicle in the acceleration, constant speed or deceleration state of the speed range under no load and load, respectively. The middle value of the interval is the average exhaust emission value of the vehicle under this working condition. limit Based on this, the speed range (v limit -5,v limit The average exhaust emission value of the vehicle of the same type is compared with the exhaust emission reference value of the same type of vehicle in the same speed range when driving at a constant speed uphill, flat slope, and downhill to identify the terrain of the road (uphill, flat slope, downhill). Thus, the average exhaust emission value of the vehicle under different operating conditions (acceleration, constant speed or deceleration), load (no load, load) and terrain (uphill, flat slope, downhill) is obtained, that is: s rolg =e k In the formula, s rolg is the mean value of automobile exhaust emissions under speed range r, operating state o, load l and terrain g; e k It is the average value of automobile exhaust emissions under this working condition.
4. The automobile exhaust emission monitoring device and the control method thereof in economical driving according to claim 1, characterized in that: In step 3, the exhaust emissions of the same type of vehicles on the same road section under acceleration, constant speed, and deceleration are sorted from small to large according to the speed range, and the minimum exhaust emissions under each operating state are obtained: e mode,min =my i :i=1,…,n} In the formula, e mode,min The exhaust gas emission in the mode is the minimum value, and there is an acceleration mode (e a,min ), uniform speed mode (e u,min ), deceleration mode (e d,min ) three types; e i is the mean exhaust emission value in speed interval i. If the upper limit of speed interval i is not greater than the road speed limit v limit , the upper limit of speed interval i is the economic driving speed in mode; otherwise, the road speed limit v limit As the upper limit, determine the number of speed intervals j included, and redetermine e mode,min =min{e i :i=1,…,j}. At this time, the minimum e i The corresponding speed range i upper limit is the economic driving speed in mode. mode,min ,Right now: The min =min{e a,min ,of u,min ,of d,min } The driving mode with the lowest exhaust emissions is selected as the economic driving mode. i The upper limit of the corresponding speed interval i is used as the economic driving speed. The vehicle speed and driving mode are guided by navigation software and roadside variable information boards to achieve the purpose of green driving.