A driving behavior scoring method and apparatus

Abstract

The application discloses a driving behavior scoring method and device. The vehicle state score is determined according to the state parameters of the vehicle corresponding to the working condition points in the preset long-time statistical window and short-time statistical window. The driver behavior score is determined according to the vehicle state score. The driving behavior improvement prompt is sent according to the dimensions of the driver behavior score and the vehicle state score. The driving behavior scoring method and device realize the statistics and scoring of multiple vehicle state parameters when the driver drives the vehicle for a long time and a short time. The dimensions of the final driver behavior score are more comprehensive, and the scoring accuracy is higher. Therefore, the accurate driving behavior improvement prompt can be sent to the driver to improve the driving behavior of the driver and improve the fuel efficiency when the vehicle is driven.

Description

Technical Field

[0001] This application relates to the field of intelligent diagnostics, specifically to a driving behavior scoring method and device. Background Technology

[0002] The biggest cost in car operation is fuel consumption. A vehicle's fuel consumption is related to its performance, road conditions, and the driver's behavior. Even with the same car on the same route, fuel consumption can vary greatly depending on the driver. The main reason for this is that driver behavior has a significant impact on fuel consumption. For example, frequent acceleration and deceleration lead to higher fuel consumption, while maintaining vehicle stability and reducing braking frequency can reduce fuel consumption.

[0003] Drivers all hope to reduce vehicle fuel consumption to lower operating costs, but they are often unaware of the impact of their specific driving behaviors on fuel consumption. Current solutions primarily rely on vehicle speed and engine RPM to alert drivers, prompting them to adjust their driving behavior to keep speed and engine RPM within economical ranges. For example, they might remind drivers to maintain a speed between 50 and 80 km / h and an engine RPM between 1000 and 1400 rpm. However, vehicle operating conditions vary greatly, and simply controlling speed and engine RPM is insufficient to effectively reduce fuel consumption.

[0004] Therefore, how to improve drivers' driving behavior to effectively reduce vehicle fuel consumption is a technical problem that needs to be solved. Summary of the Invention

[0005] This application provides a driving behavior scoring method and apparatus, which can solve the technical problem in the prior art that simply reminding the driver to improve driving behavior based on vehicle speed and engine speed cannot effectively reduce vehicle fuel consumption.

[0006] Firstly, this application provides a driving behavior scoring method, which includes:

[0007] The vehicle status score is determined based on the vehicle status parameters corresponding to the operating points in the preset long-term and short-term statistical windows.

[0008] The driver behavior score is determined based on the vehicle status score;

[0009] Based on the dimensions of the driver behavior score and the vehicle status score, suggestions for improving driving behavior are issued.

[0010] In some embodiments, the state parameters include vehicle speed, engine speed, engine torque, throttle opening, and number of vehicle start-stop cycles that vary over time.

[0011] The vehicle status score includes vehicle speed status score, engine operating status score, throttle status score, and vehicle acceleration status score.

[0012] In some embodiments, the vehicle speed status score is determined based on the vehicle speed corresponding to the operating point in a preset long-term statistical window and a short-term statistical window, specifically including:

[0013] The average vehicle speed within the long-term statistical window and the short-term statistical window are calculated separately, along with the absolute value of the difference between the vehicle speed at each operating point and the corresponding average vehicle speed, to determine the maximum vehicle speed difference for each of the long-term and short-term statistical windows. The maximum vehicle speed difference for each of the long-term and short-term statistical windows is multiplied by its corresponding weighting coefficient, and the results are summed to obtain a maximum vehicle speed difference feature value. A score is then calculated based on the magnitude of the maximum vehicle speed difference feature value to obtain a maximum vehicle speed difference score, where a smaller maximum vehicle speed difference feature value results in a larger maximum vehicle speed difference score.

[0014] The maximum driving speeds within the long-term statistical window and the short-term statistical window that account for a percentage greater than a first preset percentage are determined respectively; the maximum driving speeds in the long-term statistical window and the short-term statistical window are multiplied by their respective weighting coefficients, and the results are added together to obtain a maximum driving speed feature value; a maximum driving speed score is obtained based on the magnitude of the maximum driving speed feature value, wherein the smaller the maximum driving speed feature value, the larger the maximum driving speed score;

[0015] The average score of the maximum speed difference score and the maximum driving speed score is calculated to obtain the vehicle speed status score.

[0016] In some embodiments, the engine operating condition score is determined based on the engine speed and engine torque corresponding to the operating points in the preset long-term statistical window and short-term statistical window, specifically including:

[0017] The engine operating condition scores are obtained by scoring the engine speed and engine torque relative to the maximum torque threshold at each operating point within the long-term statistical window and the short-term statistical window, respectively.

[0018] Calculate the average score of the engine operating condition score corresponding to the operating condition point within the long-term statistical window and the short-term statistical window respectively, and obtain the window engine operating condition score of the long-term statistical window and the short-term statistical window respectively;

[0019] The engine operating condition score is obtained by multiplying the engine operating condition score of the long-term statistical window and the short-term statistical window by their respective weight coefficients and adding the results together.

[0020] In some embodiments, the throttle status score is determined based on the throttle opening corresponding to the operating point in a preset long-term statistical window and a short-term statistical window, specifically including:

[0021] The throttle opening is scored according to the throttle opening size corresponding to each working point within the long-term statistical window and the short-term statistical window, respectively, to obtain the throttle opening score corresponding to each working point within the long-term statistical window and the short-term statistical window; the average score of the throttle opening scores corresponding to each working point within the long-term statistical window and the short-term statistical window is calculated to obtain the window throttle opening score for each of the long-term statistical window and the short-term statistical window; the window throttle opening scores of the long-term statistical window and the short-term statistical window are multiplied by their respective corresponding weight coefficients, and the results are added together to obtain the throttle opening size score;

[0022] Calculate the average throttle opening within the long-term and short-term statistical windows, and the absolute value of the difference between the throttle opening at each operating point and the corresponding average throttle opening, to determine the maximum throttle opening difference for each of the long-term and short-term statistical windows. Multiply the maximum throttle opening difference for each of the long-term and short-term statistical windows by their respective weighting coefficients, and sum the results to obtain the characteristic value of the maximum throttle opening difference. A throttle stability score is obtained based on the magnitude of the characteristic value of the maximum throttle opening difference, where a smaller characteristic value indicates a higher throttle stability score.

[0023] The maximum throttle acceleration values ​​within the long-term statistical window and the short-term statistical window that account for a percentage greater than a second preset percentage are determined respectively. The maximum throttle acceleration values ​​in each of the long-term and short-term statistical windows are multiplied by their respective weighting coefficients, and the results are summed to obtain a maximum throttle acceleration feature value. A score is obtained based on the magnitude of the maximum throttle acceleration feature value, wherein the smaller the maximum throttle acceleration feature value, the larger the throttle acceleration score.

[0024] The average score of the throttle opening size score, the throttle stability score, and the throttle acceleration score is calculated to obtain the throttle state score.

[0025] In some embodiments, the vehicle acceleration state score is determined based on the number of vehicle start-stop cycles at vehicle speed within a preset long-term statistical window and a short-term statistical window, specifically including:

[0026] The average absolute value of acceleration corresponding to each working point within the long-term statistical window and the short-term statistical window is calculated to obtain the window acceleration of each window. The window acceleration of the long-term statistical window and the short-term statistical window is multiplied by their respective weighting coefficients, and the results are added together to obtain the acceleration feature value. The acceleration feature value is divided by the number of vehicle start-stop cycles to obtain the start-stop scoring parameter. The start-stop score is obtained by scoring according to the magnitude of the start-stop scoring parameter, wherein the smaller the start-stop scoring parameter, the larger the start-stop score.

[0027] The maximum accelerations within the long-term statistical window and the short-term statistical window that account for a percentage greater than a third preset percentage are determined respectively; the maximum accelerations of the long-term statistical window and the short-term statistical window are multiplied by their respective weighting coefficients, and the results are added together to obtain the maximum acceleration feature value; an acceleration score is obtained based on the magnitude of the maximum acceleration feature value, wherein the smaller the maximum acceleration feature value, the larger the acceleration score;

[0028] The vehicle acceleration state score is obtained by calculating the average score of the acceleration evaluation parameter score and the acceleration score.

[0029] In some embodiments, determining a driver behavior score based on the vehicle status score includes:

[0030] The driver behavior score is obtained by multiplying the vehicle speed status score, engine operating condition score, throttle status score, and vehicle acceleration status score by their respective weighting coefficients and then summing the results.

[0031] In some embodiments, driving behavior improvement suggestions are issued based on dimensions of the driver behavior score and the vehicle status score, including:

[0032] Determine whether the driver behavior score is lower than a preset driver behavior score threshold;

[0033] If so, when the score corresponding to the dimension of the vehicle status score is lower than the corresponding score threshold, a corresponding driving behavior improvement prompt will be issued.

[0034] Otherwise, no driving behavior improvement prompts will be given.

[0035] In some embodiments, before determining the vehicle status score based on the vehicle status parameters corresponding to the operating points in the preset long-term statistical window and short-term statistical window, the method further includes:

[0036] The operating points within the first time period before the current operating point are combined into a long-term statistical window;

[0037] The operating points within the second time period preceding the current operating point are combined into a short-term statistical window;

[0038] Wherein, the first duration is longer than the second duration.

[0039] Secondly, this application provides a driving behavior scoring device, characterized in that:

[0040] The first scoring module is used to determine the vehicle status score based on the vehicle status parameters corresponding to the working points in the preset long-term statistical window and short-term statistical window.

[0041] The second scoring module is used to determine the driver behavior score based on the vehicle status score.

[0042] The prompting module is used to issue prompts for improving driving behavior based on the dimensions of the driver behavior score and the vehicle status score.

[0043] This application provides a driving behavior scoring method and apparatus. It determines a vehicle status score based on vehicle status parameters corresponding to operating points within preset long-term and short-term statistical windows; determines a driver behavior score based on the vehicle status score; and issues driving behavior improvement prompts based on the dimensions of the driver behavior score and the vehicle status score. This method achieves statistical analysis and scoring of multiple vehicle status parameters during both long and short-term driving, resulting in a more comprehensive and accurate driver behavior score. This allows for the issuance of accurate driving behavior improvement prompts to the driver, thereby improving driving behavior and increasing fuel efficiency. Attached Figure Description

[0044] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 A flowchart illustrating a driving behavior scoring method provided in an embodiment of this application;

[0046] Figure 2 A schematic diagram of the engine operating condition scoring standard;

[0047] Figure 3 A diagram illustrating the scoring criteria for throttle opening size;

[0048] Figure 4 This is a diagram illustrating vehicle start-stop functionality.

[0049] Figure 5This is a schematic block diagram of a driving behavior scoring device provided in an embodiment of this application.

[0050] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0051] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0052] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the order described. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.

[0053] This application provides a driving behavior scoring method and apparatus.

[0054] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0055] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating a driving behavior scoring method provided as an embodiment of this application.

[0056] like Figure 1 As shown, the method includes steps S101 to S103.

[0057] Step S101: Determine the vehicle status score based on the vehicle status parameters corresponding to the working points in the preset long-term statistical window and short-term statistical window.

[0058] It is worth noting that before determining the vehicle status score based on the vehicle status parameters corresponding to the working points in the preset long-term statistical window and short-term statistical window, the process also includes: forming a long-term statistical window with the working points within a first duration before the current working point; forming a short-term statistical window with the working points within a second duration before the current working point; wherein the first duration is longer than the second duration.

[0059] As an example, a long-term statistical window is formed by selecting operating points t1 hours before the current operating point, where t1 ranges from 0.1 to 5 hours; a short-term statistical window is formed by selecting operating points t2 hours before the current operating point, where t2 ranges from 0.01 to 0.5 hours; in this embodiment, 1 second is used as one operating point. Using both long-term and short-term statistical windows for state parameter statistics in this embodiment avoids the influence of single-operating-point parameters on the evaluation results, thus making the evaluation results more accurate.

[0060] Specifically, vehicle status parameters include: vehicle speed, engine speed, engine torque, throttle opening, and number of vehicle start-stop cycles over time. Vehicle status scores include: vehicle speed status score, engine operating condition status score, throttle status score, and vehicle acceleration status score.

[0061] In an optional embodiment, the vehicle speed status score is calculated by the vehicle speed monitor based on the vehicle speed corresponding to the operating point in the preset long-term statistical window and short-term statistical window; the engine operating condition score is calculated by the engine operating condition monitor based on the engine speed and engine torque corresponding to the operating point in the preset long-term statistical window and short-term statistical window; the throttle status score is calculated by the throttle status monitor based on the throttle opening corresponding to the operating point in the preset long-term statistical window and short-term statistical window; and the vehicle acceleration status score is calculated by the acceleration status monitor based on the vehicle speed and the number of vehicle start-stop cycles in the preset long-term statistical window and short-term statistical window.

[0062] The specific methods for scoring vehicle speed, engine operating condition, throttle position, and vehicle acceleration are explained below.

[0063] In some embodiments, when determining the vehicle speed status score based on the vehicle speed corresponding to the operating point in the preset long-term statistical window and short-term statistical window, the maximum vehicle speed difference score and the maximum driving speed score are performed first.

[0064] The specific steps for scoring the maximum speed difference include steps S201-S203:

[0065] Step S201: Calculate the average vehicle speed within the long-term statistical window and the short-term statistical window, and the absolute value of the difference between the vehicle speed at each working point and the corresponding average vehicle speed within the long-term statistical window and the short-term statistical window, so as to determine the maximum vehicle speed difference between the long-term statistical window and the short-term statistical window.

[0066] It is worth noting that when calculating the average vehicle speed within the long-term and short-term statistical windows, only the data with a speed greater than 0 are averaged. When calculating the absolute value of the difference between the vehicle speed at each operating point and the corresponding average vehicle speed, only the absolute value of the difference between the data with a speed greater than 0 and the corresponding average vehicle speed is calculated.

[0067] Step S202: Multiply the maximum speed difference between the long-term statistical window and the short-term statistical window by their respective weighting coefficients, and add the results together to obtain the feature value of the maximum speed difference.

[0068] Specifically, the maximum speed difference in the long-term statistical window is multiplied by the corresponding first weighting coefficient, and the maximum speed difference in the short-term statistical window is multiplied by the corresponding second weighting coefficient. The results are then added together to obtain the maximum speed difference feature value. This can be expressed by the formula X = XL * a + XS * b, where X is the maximum speed difference feature value, XL is the maximum speed difference in the long-term statistical window, XS is the maximum speed difference in the short-term statistical window, a is the first weighting coefficient, and b is the second weighting coefficient, with values ​​ranging from 0 to 1.

[0069] Step S203: Score the maximum speed difference feature value to obtain the maximum speed difference score, wherein the smaller the maximum speed difference feature value, the larger the maximum speed difference score.

[0070] As an example, the score is determined based on the magnitude of the maximum speed difference characteristic value. When obtaining the maximum speed difference score, if the maximum speed difference characteristic value is less than 2 km / h, the score is 100 points; if the maximum speed difference characteristic value is less than 4 km / h, the score is 90 points; if the maximum speed difference characteristic value is less than 6 km / h, the score is 80 points; if the maximum speed difference characteristic value is less than 8 km / h, the score is 70 points; if the maximum speed difference characteristic value is less than 8 km / h, the score is 60 points; and if the maximum speed difference characteristic value is greater than 10 km / h, the score is 50 points.

[0071] The specific steps for scoring the maximum driving speed include steps S301-S303:

[0072] Step S301: Determine the maximum driving speeds within the long-term statistical window and the short-term statistical window that account for a percentage greater than a first preset percentage.

[0073] As an example, in this embodiment, the first preset percentage can be set within the range of 1% to 10%. When the first preset percentage is set to 3%, if the proportion of vehicles with speeds above 100 km / h in the long-term statistical window is 1%, the proportion of vehicles with speeds above 98 km / h is 2%, the proportion of vehicles with speeds above 95 km / h is 3%, and the proportion of vehicles with speeds above 90 km / h is 5%, then the maximum driving speed in the long-term statistical window is 95 km / h. The method for determining the maximum driving speed in the short-term statistical window is the same as that for the long-term statistical window.

[0074] Step S302: Multiply the maximum driving speed of the long-term statistical window and the short-term statistical window by their respective weight coefficients, and add the results together to obtain the maximum driving speed feature value.

[0075] Specifically, the maximum driving speed of the long-term statistical window is multiplied by the first weighting coefficient, and the maximum driving speed of the short-term statistical window is multiplied by the second weighting coefficient. The results are then added together to obtain the maximum driving speed feature value.

[0076] Step S303: Score the maximum driving speed feature value to obtain the maximum driving speed score, wherein the smaller the maximum driving speed feature value, the larger the maximum driving speed score.

[0077] As an example, if the maximum driving speed characteristic value is less than 90 km / h, the maximum driving speed score is 100 points; if the maximum driving speed characteristic value is less than 100 km / h, the score is 80 points; if the maximum driving speed characteristic value is less than 110 km / h, the score is 60 points; and if the maximum driving speed characteristic value is greater than 110 km / h, the score is 50 points.

[0078] After obtaining the maximum speed difference and the maximum driving speed difference, the average score of the maximum speed difference score and the maximum driving speed score is calculated to obtain the vehicle speed status score.

[0079] In some embodiments, the engine operating condition score is determined based on the engine speed and engine torque corresponding to the operating point in the preset long-term statistical window and short-term statistical window, including steps S401-S403.

[0080] Step S401: Scoring is performed based on the engine speed and engine torque percentage relative to the maximum torque threshold at each operating point within the long-term statistical window and the short-term statistical window, respectively, to obtain the engine operating condition score corresponding to each operating point within the long-term statistical window and the short-term statistical window.

[0081] Specifically, the engine performance score is determined as follows: First score: When both engine speed and torque percentage are within the economical speed range; Second score: When engine speed is within the economical speed range and torque percentage is greater than the economical torque range; Third score: When engine speed is greater than the economical speed range; Fourth score: When engine speed is within the economical speed range and torque percentage is less than the economical torque range; Fifth score: When engine speed is less than the economical speed range. The scores for the First, Second, Third, Fourth, and Fifth scores decrease sequentially.

[0082] Exemplary, such as Figure 2 As shown, in this embodiment, the engine's economic speed range is 1000rpm-1400rpm, and the economic torque range is 25%-75%. The engine's operating conditions are divided into regions: Region A scores 60, Region B scores 70, Region C scores 90, Region D scores 100, Region E scores 70, and Region F scores 80.

[0083] Step S402: Calculate the average score of the engine operating condition score corresponding to the operating condition points in the long-term statistical window and the short-term statistical window respectively, and obtain the window engine operating condition score of the long-term statistical window and the short-term statistical window respectively.

[0084] Step S403: Multiply the engine operating condition scores of the long-term statistical window and the short-term statistical window by their respective weighting coefficients, and add the results together to obtain the engine operating condition score.

[0085] Specifically, the engine condition score of the long-term statistical window is multiplied by a first weighting coefficient, the engine condition score of the short-term statistical window is multiplied by a second weighting coefficient, and the results are added together to obtain the engine condition status score.

[0086] In some embodiments, when determining the throttle state score based on the throttle opening corresponding to the operating point in the preset long-term statistical window and short-term statistical window, the throttle opening size score, throttle stability score, and throttle acceleration are performed first.

[0087] The specific steps for scoring throttle opening size include steps S501-S503:

[0088] Step S501: Score the throttle opening size corresponding to each working point in the long-term statistical window and the short-term statistical window respectively, and obtain the throttle opening score corresponding to each working point in the long-term statistical window and the short-term statistical window.

[0089] Specifically, when the throttle opening is within the preset economic range, the throttle opening score is the first score. When the throttle opening is less than the economic range, the larger the throttle opening, the higher the throttle opening score. When the throttle opening is less than the economic range, the larger the throttle opening, the lower the throttle opening score.

[0090] Exemplary, such as Figure 3 As shown, if the throttle opening is 0, the operating point is not included in the evaluation; if the throttle opening is greater than 0 and less than or equal to 10, the score is 70; if the throttle opening is greater than 10 and less than or equal to 20, the score is 80, and so on. If the throttle opening is greater than 90 and less than or equal to 100, the score is 60.

[0091] Step S502: Calculate the average score of the throttle opening score corresponding to each working point in the long-term statistical window and the short-term statistical window respectively, and obtain the window throttle opening score of the long-term statistical window and the short-term statistical window respectively.

[0092] Step S503: Multiply the throttle opening scores of the long-term statistical window and the short-term statistical window by their respective weighting coefficients, and add the results together to obtain the throttle opening size score.

[0093] Specifically, the throttle opening score of the long-term statistical window is multiplied by a first weighting coefficient, and the throttle opening score of the short-term statistical window is multiplied by a second weighting coefficient. The results are then added together to obtain the throttle opening size score.

[0094] The specific steps for scoring throttle stability include S601-S603:

[0095] Step S601: Calculate the average throttle opening within the long-term statistical window and the short-term statistical window, and the absolute value of the difference between the throttle opening at each operating point and the corresponding average throttle opening, so as to determine the maximum throttle opening difference between the long-term statistical window and the short-term statistical window.

[0096] Step S602: Multiply the maximum throttle opening difference between the long-term statistical window and the short-term statistical window by their respective weighting coefficients, and add the results together to obtain the feature value of the maximum throttle opening difference.

[0097] Specifically, the maximum throttle opening difference of the long-term statistical window is multiplied by a first weighting coefficient, the maximum throttle opening difference of the short-term statistical window is multiplied by a second weighting coefficient, and the results are added together to obtain the characteristic value of the maximum throttle opening difference.

[0098] Step S603: Score the throttle stability based on the magnitude of the maximum throttle opening difference characteristic value, wherein the smaller the maximum throttle opening difference characteristic value, the greater the throttle stability score.

[0099] As an example, if the characteristic value of the maximum throttle opening difference is less than 5%, the score is 100 points; if the characteristic value of the maximum throttle opening difference is less than 7%, the score is 90 points; if the characteristic value of the maximum throttle opening difference is less than 9%, the score is 80 points; if the characteristic value of the maximum throttle opening difference is less than 11%, the score is 70 points; if the characteristic value of the maximum throttle opening difference is less than 13%, the score is 60 points; and if the characteristic value of the maximum throttle opening difference is greater than 13%, the score is 50 points.

[0100] The specific steps for throttle acceleration scoring include S701-S703:

[0101] Step S701: Determine the maximum throttle acceleration within the long-term statistical window and the short-term statistical window, respectively, where the percentage is greater than the second preset percentage.

[0102] Wherein, throttle acceleration = (current throttle - previous throttle) / time difference.

[0103] As an example, in this embodiment, the second preset percentage can be set within the range of 1% to 10%. When the second preset percentage is set to 3%, if the percentage of throttle acceleration above 20% / s in the long-term statistical window is 1%, the percentage of throttle acceleration above 18% / s is 2%, the percentage of throttle acceleration above 16% / s is 3%, and the percentage of throttle acceleration above 14km / h is 5%, then the maximum throttle acceleration in the long-term statistical window is 16% / s. The method for determining the maximum throttle acceleration in the short-term statistical window is the same as that for the long-term statistical window.

[0104] Step S702: Multiply the maximum throttle acceleration of the long-term statistical window and the short-term statistical window by their respective weighting coefficients, and add the results together to obtain the maximum throttle acceleration feature value.

[0105] Specifically, the maximum throttle acceleration of the long-term statistical window is multiplied by a first weighting coefficient, and the maximum throttle acceleration of the short-term statistical window is multiplied by a second weighting coefficient. The results are then added together to obtain the maximum throttle acceleration characteristic value.

[0106] Step S703: Score the throttle acceleration characteristic value to obtain a throttle acceleration score, wherein the smaller the maximum throttle acceleration characteristic value, the larger the throttle acceleration score.

[0107] As an example, if the throttle acceleration is less than 5% / s of the characteristic value, the throttle acceleration score is 100 points; if the throttle acceleration is less than 15% / s of the characteristic value, the score is 80 points; if the throttle acceleration is less than 25% / s of the characteristic value, the score is 60 points; and if the throttle acceleration is greater than 25% / s of the characteristic value, the score is 50 points.

[0108] Furthermore, the average score of the throttle opening size score, the throttle stability score, and the throttle acceleration score is calculated to obtain the throttle state score.

[0109] In some embodiments, when determining the vehicle acceleration status score based on the vehicle speed and the number of vehicle starts and stops in a preset long-term statistical window and short-term statistical window, acceleration evaluation parameter scoring and acceleration scoring are performed first.

[0110] The specific steps for scoring acceleration evaluation parameters include steps S801-S804:

[0111] Step S801: Calculate the average value of the absolute acceleration corresponding to each working point in the long-term statistical window and the short-term statistical window respectively, and obtain the window acceleration of the long-term statistical window and the short-term statistical window respectively.

[0112] Wherein, acceleration = (current vehicle speed - previous vehicle speed) / time difference.

[0113] Step S802: Multiply the window acceleration of the long-term statistical window and the short-term statistical window by their respective weight coefficients, and add the results together to obtain the acceleration feature value.

[0114] Specifically, the window acceleration of the long-term statistical window is multiplied by the first weighting coefficient, and the window acceleration of the short-term statistical window is multiplied by the second weighting coefficient. The results are then added together to obtain the acceleration characteristic value.

[0115] Step S803: Divide the acceleration characteristic value by the number of vehicle start-stop cycles to obtain the start-stop scoring parameter.

[0116] It is worth noting that vehicle acceleration and deceleration are closely related to vehicle stopping and starting. In order to accurately assess driving behavior, we introduce a new evaluation parameter: the start-stop rating parameter AS. AS = Acceleration characteristic value / Number of start-stop cycles.

[0117] It's worth noting that the number of vehicle start-stop cycles is determined based on vehicle speed. If the vehicle speed remains greater than 0 for 3 seconds, then decreases to 0, and the speed remains at 0 for 3 seconds, then the speed changes back to greater than 0 for more than 3 seconds, this counts as one start-stop cycle. Figure 4 The number of start-stop cycles shown is 2.

[0118] Step S804: Score the start-stop rating based on the magnitude of the start-stop rating parameter to obtain the start-stop rating, wherein the smaller the start-stop rating parameter, the larger the start-stop rating.

[0119] As an example, if AS is less than 0.1 m / s 2 If AS is greater than 0.1 m / s, the score is 100 points; 2 Less than 0.2 m / s 2 If AS is greater than 0.2 m / s, the score is 90 points; 2 Less than 0.3 m / s 2 If AS is greater than 0.3 m / s, the score is 80 points; 2 Less than 0.4 m / s 2 If AS is greater than 0.4 m / s, the score is 70 points; 2 Less than 0.5 m / s 2 If AS is greater than 0.5 m / s, the score is 60 points; 2 If so, the score is 50 points.

[0120] The specific steps for performing acceleration scoring include S901-S903:

[0121] Step S901: Determine the maximum acceleration that accounts for a greater than a third preset percentage within the long-term statistical window and the short-term statistical window, respectively.

[0122] As an example, in this embodiment, the third preset percentage can be set within the range of 1% to 10%. When the third preset percentage is set to 3%, if the long-term statistical window acceleration is 2m / s², 2 The above percentage is 1%, 1.5m / s 2 The above acceleration accounts for 2%, 1m / s². 2 The above acceleration accounts for 3%, 0.5 m / s². 2 If the above acceleration accounts for 5%, then the maximum acceleration in the long-term statistical window is 1 m / s². 2 The method for determining the maximum acceleration of the short-term statistical window is the same as that for the long-term statistical window.

[0123] Step S902: Multiply the maximum acceleration of the long-term statistical window and the short-term statistical window by their respective weight coefficients, and add the results together to obtain the maximum acceleration feature value.

[0124] Specifically, the maximum acceleration of the long-term statistical window is multiplied by the first weight number of times, and the maximum acceleration of the short-term statistical window is multiplied by the second weight number of times. The results are then added together to obtain the maximum acceleration feature value.

[0125] Step S903: Score the acceleration based on the magnitude of the maximum acceleration feature value to obtain an acceleration score, wherein the smaller the maximum acceleration feature value, the larger the acceleration score.

[0126] As an example, if the acceleration is less than 0.5 m / s² 2 If the acceleration is less than 1 m / s², the score is 100 points; if the acceleration is less than 1 m / s², the score is 100 points. 2 If the acceleration is less than 1.5 m / s², the score is 80 points; 2 If the acceleration is greater than 1.5 m / s², the score is 60 points; 2 If so, the score is 50 points.

[0127] The acceleration state score is obtained by calculating the average score of the acceleration evaluation parameter score and the acceleration score.

[0128] Step S102: Determine the driver behavior score based on the vehicle status score.

[0129] The vehicle speed status score S1 is multiplied by the corresponding third weighting coefficient β1, the engine operating condition score S2 is multiplied by the corresponding fourth weighting coefficient β2, the throttle status score S3 is multiplied by the corresponding fifth weighting coefficient β3, and the vehicle acceleration status score S4 is multiplied by the corresponding sixth weighting coefficient β4. The results are then added together to obtain the driver behavior score, which can be expressed by the formula m=S1*β1+S2*β2+S3*β3+S4*β4.

[0130] Step S103: Based on the dimensions of the driver behavior score and the vehicle status score, issue a driving behavior improvement prompt.

[0131] Specifically, it is determined whether the driver behavior score is lower than a preset driver behavior score threshold; if so, a corresponding driving behavior improvement prompt is issued when the score corresponding to the dimension of the vehicle status score is lower than the corresponding score threshold; otherwise, no driving behavior improvement prompt is issued.

[0132] As an example, if the maximum speed difference score is less than 80 points, the driver is reminded to try to control the stability of the vehicle speed and keep the speed fluctuation range within 10km / h.

[0133] If the maximum driving speed score is less than 80 points, the driver is advised to keep the speed below 90 km / h.

[0134] If the engine condition monitoring score is less than 80 points, the driver is reminded to keep the vehicle speed between 1000 and 1400 rpm and the output torque between 25% and 75% of the maximum torque.

[0135] If the throttle opening score is less than 80, the driver is advised to avoid using throttles of more than 70%.

[0136] If the throttle stability score is less than 80 points, the driver is reminded to keep the throttle constant as much as possible.

[0137] If the throttle acceleration score is less than 80 points, the driver will be reminded to avoid pressing the accelerator hard and then releasing it immediately.

[0138] If the AS score and acceleration score are less than 80, the driver will be reminded to accelerate slowly when starting and decelerate slowly when stopping.

[0139] The driving behavior scoring method provided in this application has the advantage of statistically analyzing and scoring vehicle speed, engine speed, engine torque, throttle opening, and the number of vehicle start-stop cycles during both long and short periods of driving. This results in scores across multiple dimensions, including maximum speed difference, maximum driving speed, engine operating condition, throttle opening, throttle acceleration, acceleration evaluation parameters, and acceleration score. This comprehensive scoring approach enhances accuracy. Furthermore, based on the scores for each dimension, corresponding driving behavior improvement reminders are issued, providing accurate guidance to the driver to improve driving behavior and increase fuel efficiency.

[0140] Please refer to Figure 5 , Figure 5 This is a schematic block diagram of a driving behavior scoring device provided in an embodiment of this application.

[0141] like Figure 5 As shown, the device includes:

[0142] The first scoring module is used to determine the vehicle status score based on the vehicle status parameters corresponding to the working points in the preset long-term statistical window and short-term statistical window.

[0143] The second scoring module is used to determine the driver behavior score based on the vehicle status score.

[0144] The prompting module is used to issue prompts for improving driving behavior based on the dimensions of the driver behavior score and the vehicle status score.

[0145] The state parameters include vehicle speed, engine speed, engine torque, throttle opening, and number of vehicle start-stop cycles that vary over time.

[0146] The vehicle status score includes vehicle speed status score, engine operating status score, throttle status score, and vehicle acceleration status score.

[0147] The first scoring module is further used for:

[0148] The average vehicle speed within the long-term statistical window and the short-term statistical window are calculated separately, along with the absolute value of the difference between the vehicle speed at each operating point and the corresponding average vehicle speed, to determine the maximum vehicle speed difference for each of the long-term and short-term statistical windows. The maximum vehicle speed difference for each of the long-term and short-term statistical windows is multiplied by its corresponding weighting coefficient, and the results are summed to obtain a maximum vehicle speed difference feature value. A score is then calculated based on the magnitude of the maximum vehicle speed difference feature value to obtain a maximum vehicle speed difference score, where a smaller maximum vehicle speed difference feature value results in a larger maximum vehicle speed difference score.

[0149] The maximum driving speeds within the long-term statistical window and the short-term statistical window that account for a percentage greater than a first preset percentage are determined respectively; the maximum driving speeds in the long-term statistical window and the short-term statistical window are multiplied by their respective weighting coefficients, and the results are added together to obtain a maximum driving speed feature value; a maximum driving speed score is obtained based on the magnitude of the maximum driving speed feature value, wherein the smaller the maximum driving speed feature value, the larger the maximum driving speed score;

[0150] The average score of the maximum speed difference score and the maximum driving speed score is calculated to obtain the vehicle speed status score.

[0151] The first scoring module is further used for:

[0152] The engine operating condition scores are obtained by scoring the engine speed and engine torque relative to the maximum torque threshold at each operating point within the long-term statistical window and the short-term statistical window, respectively.

[0153] Calculate the average score of the engine operating condition score corresponding to the operating condition point within the long-term statistical window and the short-term statistical window respectively, and obtain the window engine operating condition score of the long-term statistical window and the short-term statistical window respectively;

[0154] The engine operating condition score is obtained by multiplying the engine operating condition score of the long-term statistical window and the short-term statistical window by their respective weight coefficients and adding the results together.

[0155] The first scoring module is further used for:

[0156] The throttle opening is scored according to the throttle opening size corresponding to each working point within the long-term statistical window and the short-term statistical window, respectively, to obtain the throttle opening score corresponding to each working point within the long-term statistical window and the short-term statistical window; the average score of the throttle opening scores corresponding to each working point within the long-term statistical window and the short-term statistical window is calculated to obtain the window throttle opening score for each of the long-term statistical window and the short-term statistical window; the window throttle opening scores of the long-term statistical window and the short-term statistical window are multiplied by their respective corresponding weight coefficients, and the results are added together to obtain the throttle opening size score;

[0157] Calculate the average throttle opening within the long-term and short-term statistical windows, and the absolute value of the difference between the throttle opening at each operating point and the corresponding average throttle opening, to determine the maximum throttle opening difference for each of the long-term and short-term statistical windows. Multiply the maximum throttle opening difference for each of the long-term and short-term statistical windows by their respective weighting coefficients, and sum the results to obtain the characteristic value of the maximum throttle opening difference. A throttle stability score is obtained based on the magnitude of the characteristic value of the maximum throttle opening difference, where a smaller characteristic value indicates a higher throttle stability score.

[0158] The maximum throttle acceleration values ​​within the long-term statistical window and the short-term statistical window that account for a percentage greater than a second preset percentage are determined respectively. The maximum throttle acceleration values ​​in each of the long-term and short-term statistical windows are multiplied by their respective weighting coefficients, and the results are summed to obtain a maximum throttle acceleration feature value. A score is obtained based on the magnitude of the maximum throttle acceleration feature value, wherein the smaller the maximum throttle acceleration feature value, the larger the throttle acceleration score.

[0159] The average score of the throttle opening size score, the throttle stability score, and the throttle acceleration score is calculated to obtain the throttle state score.

[0160] The first scoring module is further used for:

[0161] The average absolute value of acceleration corresponding to each working point within the long-term statistical window and the short-term statistical window is calculated to obtain the window acceleration of each window. The window acceleration of the long-term statistical window and the short-term statistical window is multiplied by their respective weighting coefficients, and the results are added together to obtain the acceleration feature value. The acceleration feature value is divided by the number of vehicle start-stop cycles to obtain the start-stop scoring parameter. The start-stop score is obtained by scoring according to the magnitude of the start-stop scoring parameter, wherein the smaller the start-stop scoring parameter, the larger the start-stop score.

[0162] The maximum accelerations within the long-term statistical window and the short-term statistical window that account for a percentage greater than a third preset percentage are determined respectively; the maximum accelerations of the long-term statistical window and the short-term statistical window are multiplied by their respective weighting coefficients, and the results are added together to obtain the maximum acceleration feature value; an acceleration score is obtained based on the magnitude of the maximum acceleration feature value, wherein the smaller the maximum acceleration feature value, the larger the acceleration score;

[0163] The vehicle acceleration state score is obtained by calculating the average score of the acceleration evaluation parameter score and the acceleration score.

[0164] The second scoring module is also used for:

[0165] The driver behavior score is obtained by multiplying the vehicle speed status score, engine operating condition score, throttle status score, and vehicle acceleration status score by their respective weighting coefficients and then summing the results.

[0166] The prompting module is also used for:

[0167] Determine whether the driver behavior score is lower than a preset driver behavior score threshold;

[0168] If so, when the score corresponding to the dimension of the vehicle status score is lower than the corresponding score threshold, a corresponding driving behavior improvement prompt will be issued.

[0169] Otherwise, no driving behavior improvement prompts will be given.

[0170] The device is also used for:

[0171] The operating points within the first time period before the current operating point are combined into a long-term statistical window;

[0172] The operating points within the second time period preceding the current operating point are combined into a short-term statistical window;

[0173] Wherein, the first duration is longer than the second duration.

[0174] It should be noted that those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the above-described device and its modules and units can be referred to the corresponding processes in the foregoing embodiments, and will not be repeated here.

[0175] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0176] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments. The above descriptions are merely specific implementations of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for scoring driving behavior, characterized in that, The method includes: The vehicle status score is determined based on the vehicle status parameters corresponding to the operating points in the preset long-term and short-term statistical windows. The driver behavior score is determined based on the vehicle status score; Based on the dimensions of the driver behavior score and the vehicle status score, suggestions for improving driving behavior are issued; The state parameters include vehicle speed, engine speed, engine torque, throttle opening, and number of vehicle start-stop cycles that vary over time. The vehicle status score includes vehicle speed status score, engine operating condition status score, throttle status score, and vehicle acceleration status score. The vehicle speed status score is determined based on the vehicle speed corresponding to the operating point in the preset long-term statistical window and short-term statistical window, specifically including: The average vehicle speed within the long-term statistical window and the short-term statistical window are calculated separately, along with the absolute value of the difference between the vehicle speed at each operating point and the corresponding average vehicle speed, to determine the maximum vehicle speed difference for each of the long-term and short-term statistical windows. The maximum vehicle speed difference for each of the long-term and short-term statistical windows is multiplied by its corresponding weighting coefficient, and the results are summed to obtain a maximum vehicle speed difference feature value. A score is then calculated based on the magnitude of the maximum vehicle speed difference feature value to obtain a maximum vehicle speed difference score, where a smaller maximum vehicle speed difference feature value results in a larger maximum vehicle speed difference score. The maximum driving speeds within the long-term statistical window and the short-term statistical window that account for a percentage greater than a first preset percentage are determined respectively; the maximum driving speeds in the long-term statistical window and the short-term statistical window are multiplied by their respective weighting coefficients, and the results are added together to obtain a maximum driving speed feature value; a maximum driving speed score is obtained based on the magnitude of the maximum driving speed feature value, wherein the smaller the maximum driving speed feature value, the larger the maximum driving speed score; The average score of the maximum speed difference score and the maximum driving speed score is calculated to obtain the vehicle speed status score.

2. The driving behavior scoring method as described in claim 1, characterized in that, include: The engine operating condition score is determined based on the engine speed and engine torque corresponding to the operating points in the preset long-term and short-term statistical windows, specifically including: The engine operating condition scores are obtained by scoring the engine speed and engine torque relative to the maximum torque threshold at each operating point within the long-term statistical window and the short-term statistical window, respectively. Calculate the average score of the engine operating condition score corresponding to the operating condition point within the long-term statistical window and the short-term statistical window respectively, and obtain the window engine operating condition score of the long-term statistical window and the short-term statistical window respectively; The engine operating condition score is obtained by multiplying the engine operating condition score of the long-term statistical window and the short-term statistical window by their respective weight coefficients and adding the results together.

3. The driving behavior scoring method as described in claim 1, characterized in that, include: The throttle status score is determined based on the throttle opening corresponding to the operating point in the preset long-term statistical window and short-term statistical window, specifically including: The throttle opening is scored according to the throttle opening size corresponding to each working point within the long-term statistical window and the short-term statistical window, respectively, to obtain the throttle opening score corresponding to each working point within the long-term statistical window and the short-term statistical window; the average score of the throttle opening scores corresponding to each working point within the long-term statistical window and the short-term statistical window is calculated to obtain the window throttle opening score for each of the long-term statistical window and the short-term statistical window; the window throttle opening scores of the long-term statistical window and the short-term statistical window are multiplied by their respective corresponding weight coefficients, and the results are added together to obtain the throttle opening size score; Calculate the average throttle opening within the long-term and short-term statistical windows, and the absolute value of the difference between the throttle opening at each operating point and the corresponding average throttle opening, to determine the maximum throttle opening difference for each of the long-term and short-term statistical windows. Multiply the maximum throttle opening difference for each of the long-term and short-term statistical windows by their respective weighting coefficients, and sum the results to obtain the characteristic value of the maximum throttle opening difference. A throttle stability score is obtained based on the magnitude of the characteristic value of the maximum throttle opening difference, where a smaller characteristic value indicates a higher throttle stability score. The maximum throttle acceleration values ​​within the long-term statistical window and the short-term statistical window that account for a percentage greater than a second preset percentage are determined respectively. The maximum throttle acceleration values ​​in each of the long-term and short-term statistical windows are multiplied by their respective weighting coefficients, and the results are summed to obtain a maximum throttle acceleration feature value. A throttle acceleration score is obtained based on the magnitude of the maximum throttle acceleration feature value, wherein the smaller the maximum throttle acceleration feature value, the larger the throttle acceleration score. The average score of the throttle opening size score, the throttle stability score, and the throttle acceleration score is calculated to obtain the throttle state score.

4. The driving behavior scoring method as described in claim 1, characterized in that, include: The vehicle acceleration status score is determined based on the vehicle speed and the number of vehicle start-stop cycles within a preset long-term and short-term statistical window, specifically including: The average absolute value of acceleration corresponding to each working point within the long-term statistical window and the short-term statistical window is calculated to obtain the window acceleration of each window. The window acceleration of the long-term statistical window and the short-term statistical window is multiplied by their respective weighting coefficients, and the results are added together to obtain the acceleration feature value. The acceleration feature value is divided by the number of vehicle start-stop cycles to obtain the start-stop scoring parameter. The start-stop score is obtained by scoring according to the magnitude of the start-stop scoring parameter, wherein the smaller the start-stop scoring parameter, the larger the start-stop score. The maximum accelerations within the long-term statistical window and the short-term statistical window that account for a percentage greater than a third preset percentage are determined respectively; the maximum accelerations of the long-term statistical window and the short-term statistical window are multiplied by their respective weighting coefficients, and the results are added together to obtain the maximum acceleration feature value; an acceleration score is obtained based on the magnitude of the maximum acceleration feature value, wherein the smaller the maximum acceleration feature value, the larger the acceleration score; The average score of the start-stop score and the acceleration score is calculated to obtain the vehicle acceleration state score.

5. The driving behavior scoring method as described in claim 1, characterized in that, The driver behavior score is determined based on the vehicle status score, including: The driver behavior score is obtained by multiplying the vehicle speed status score, engine operating condition score, throttle status score, and vehicle acceleration status score by their respective weighting coefficients and then summing the results.

6. The driving behavior scoring method as described in claim 1, characterized in that, Based on the dimensions of the driver behavior score and the vehicle status score, driving behavior improvement suggestions are issued, including: Determine whether the driver behavior score is lower than a preset driver behavior score threshold; If so, when the score corresponding to the dimension of the vehicle status score is lower than the corresponding score threshold, a corresponding driving behavior improvement prompt will be issued. Otherwise, no driving behavior improvement prompts will be given.

7. The driving behavior scoring method as described in claim 1, characterized in that, Before determining the vehicle status score based on the vehicle status parameters corresponding to the operating points in the preset long-term and short-term statistical windows, the process also includes: The operating points within the first time period before the current operating point are combined into a long-term statistical window; The operating points within the second time period preceding the current operating point are combined into a short-term statistical window; Wherein, the first duration is longer than the second duration.

8. A driving behavior scoring device, characterized in that, The driving behavior scoring device includes: The first scoring module is used to determine the vehicle status score based on the vehicle status parameters corresponding to the working points in the preset long-term statistical window and short-term statistical window. The second scoring module is used to determine the driver behavior score based on the vehicle status score. The prompting module is used to issue driving behavior improvement prompts based on the dimensions of the driver behavior score and the vehicle status score; The state parameters include vehicle speed, engine speed, engine torque, throttle opening, and number of vehicle start-stop cycles that vary over time. The vehicle status score includes vehicle speed status score, engine operating condition status score, throttle status score, and vehicle acceleration status score. The first scoring module is further used for: The average vehicle speed within the long-term statistical window and the short-term statistical window are calculated separately, along with the absolute value of the difference between the vehicle speed at each operating point and the corresponding average vehicle speed, to determine the maximum vehicle speed difference for each of the long-term and short-term statistical windows. The maximum vehicle speed difference for each of the long-term and short-term statistical windows is multiplied by its corresponding weighting coefficient, and the results are summed to obtain a maximum vehicle speed difference feature value. A score is then calculated based on the magnitude of the maximum vehicle speed difference feature value to obtain a maximum vehicle speed difference score, where a smaller maximum vehicle speed difference feature value results in a larger maximum vehicle speed difference score. The maximum driving speeds within the long-term statistical window and the short-term statistical window that account for a percentage greater than a first preset percentage are determined respectively; the maximum driving speeds in the long-term statistical window and the short-term statistical window are multiplied by their respective weighting coefficients, and the results are added together to obtain a maximum driving speed feature value; a maximum driving speed score is obtained based on the magnitude of the maximum driving speed feature value, wherein the smaller the maximum driving speed feature value, the larger the maximum driving speed score; The average score of the maximum speed difference score and the maximum driving speed score is calculated to obtain the vehicle speed status score.

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