Driving behavior evaluation method and device and vehicle

Abstract

The invention provides a driving behavior evaluation method and device and a vehicle. The method comprises the steps of obtaining driving behavior data of a user; determining a target score according to the driving behavior data; the driving score is determined according to the target score and the distribution weight parameter, the accuracy of the driving score is improved, the driving score can give targeted reminding and suggestions to the user, the user is effectively guided to develop a good driving habit, and therefore safe, energy-saving and civilized driving behaviors are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicles, and in particular, to a driving behavior evaluation method, device and vehicle. Background Art

[0002] With the development of the low-carbon goal, the market share of new energy vehicles is getting higher and higher. However, with the rapid increase in the number of vehicles, the road conditions have become more complex. Due to the uneven driving habits and driving levels of drivers, the power consumption of the whole vehicle is relatively high, and the cruising range is relatively reduced, thus increasing the operating cost of the vehicle. At the same time, bad driving habits also pose potential dangers, not only putting oneself in danger but also affecting the safety of other people.

[0003] Currently, the driving score dimension of the evaluation strategy for drivers is single, the classification is chaotic and there is no detailed, accurate and effective information, and only a general driving score can be determined, which cannot effectively give drivers reminders and suggestions. At the same time, the calculation of the driving score is complex, and most of them require background processing or cloud processing, resulting in slow calculation and inability to match the real situation. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art.

[0005] To this end, an object of the present invention is to propose a driving behavior evaluation method, which improves the accuracy of the driving score, and the driving score can give users targeted reminders and suggestions, effectively guiding users to develop good driving habits, so as to achieve safe, energy-saving and civilized driving behaviors.

[0006] To this end, a second object of the present invention is to propose a driving behavior evaluation device.

[0007] To this end, a third object of the present invention is to propose a vehicle.

[0008] To achieve the above object, an embodiment of the first aspect of the present invention proposes a driving behavior evaluation method, the driving behavior evaluation method includes: obtaining driving behavior data of a user; determining a target score according to the driving behavior data; and determining a driving score according to the target score and an assigned weight parameter.

[0009] According to the driving behavior evaluation method of the embodiments of the present invention, by acquiring the driving behavior data of the user, classifying and screening the driving behavior data, obtaining clear and detailed accurate valid information, determining the target scores in multiple dimensions, and using dynamic allocation weight parameters to adjust the target scores, a driving score closer to the true situation of the current user is obtained, improving the accuracy of the driving score. The driving score can give targeted reminders and suggestions to the user, effectively guiding the user to develop good driving habits, so as to achieve safe, energy-saving, and civilized driving behaviors.

[0010] In some embodiments, the target score includes a first target score. Determining the target score according to the driving behavior data includes: determining the seat belt not fastened score, fatigue driving score, sharp turn score, rapid acceleration score, and rapid deceleration score according to the driving behavior data; determining the first target score according to the seat belt not fastened score, the fatigue driving score, the sharp turn score, the rapid acceleration score, the rapid deceleration score, and the safe driving weight parameter.

[0011] In some embodiments, when determining the first target score according to the seat belt not fastened score, the fatigue driving score, the sharp turn score, the rapid acceleration score, the rapid deceleration score, and the safe driving weight parameter, substitute the seat belt not fastened score, the fatigue driving score, the sharp turn score, the rapid acceleration score, the rapid deceleration score, and the safe driving weight parameter into the following formula: , wherein, is the first target score, is the seat belt not fastened score, is the first safe driving weight parameter, is the fatigue driving score, is the second safe driving weight parameter, is the sharp turn score, is the third safe driving weight parameter, is the rapid acceleration score, is the fourth safe driving weight parameter, is the rapid deceleration score, is the fifth safe driving weight parameter.

[0012] In some embodiments, the target score includes a second target score. Determining the target score according to the driving behavior data includes: determining the turn signal score, lane change score, horn score, and marked driving score according to the driving behavior data; determining the second target score according to the turn signal score, the lane change score, the horn score, the marked driving score, and the civilized driving weight parameter.

[0013] In some embodiments, when determining the second target score based on the turn signal score, the lane change score, the horn score, the marked driving score, and the civilized driving weight parameter, substitute the turn signal score, the lane change score, the horn score, the marked driving score, and the civilized driving weight parameter into the following formula: , where, is the second target score, is the turn signal score, is the first civilized driving weight parameter, is the lane change score, is the second civilized driving weight parameter, is the horn score, is the third civilized driving weight parameter, is the marked driving score, is the fourth civilized driving weight parameter.

[0014] In some embodiments, the target score includes a third target score. Determining the target score based on the driving behavior data includes: determining a driving mode score, an energy recovery mode score, an air conditioner score, and a vehicle speed score according to the driving behavior data; determining the third target score according to the driving mode score, the energy recovery mode score, the air conditioner score, the vehicle speed score, and the energy-saving driving weight parameter.

[0015] In some embodiments, when determining the third target score according to the driving mode score, the energy recovery mode score, the air conditioner score, the vehicle speed score, and the energy-saving driving weight parameter, substitute the driving mode score, the energy recovery mode score, the air conditioner score, the vehicle speed score, and the energy-saving driving weight parameter into the following formula: , where, is the third target score, is the driving mode score, is the first energy-saving driving weight parameter, is the energy recovery mode score, is the second energy-saving driving weight parameter, is the air conditioner score, is the third energy-saving driving weight parameter, is the vehicle speed score, is the fourth energy-saving driving weight parameter.

[0016] In some embodiments, determining the driving score according to the target score and the allocation weight parameter includes: , wherein, is the driving score, is the first target score, is the first allocation weight parameter, is the second target score, is the second allocation weight parameter, is the third target score, is the third allocation weight parameter.

[0017] To achieve the above object, an embodiment of the second aspect of the present invention provides a driving behavior evaluation device, which includes: an acquisition module for acquiring driving behavior data of a user; a first determination module for determining a target score according to the driving behavior data; and a second determination module for determining a driving score according to the target score and an allocation weight parameter.

[0018] According to the driving behavior evaluation device of the embodiment of the present invention, by acquiring the driving behavior data of the user, classifying and screening the driving behavior data, obtaining clear and detailed accurate effective information, determining target scores in multiple dimensions, and using dynamic allocation weight parameters to adjust the target scores, a driving score closer to the actual situation of the current user can be obtained, improving the accuracy of the driving score. The driving score can give targeted reminders and suggestions to the user, effectively guiding the user to develop good driving habits, so as to achieve safe, energy-saving, and civilized driving behaviors.

[0019] To achieve the above object, an embodiment of the third aspect of the present invention provides a vehicle, which includes the driving behavior evaluation device as described in the above embodiment.

[0020] According to the vehicle of the embodiment of the present invention, by acquiring the driving behavior data of the user, classifying and screening the driving behavior data, obtaining clear and detailed accurate effective information, determining target scores in multiple dimensions, and using dynamic allocation weight parameters to adjust the target scores, a driving score closer to the actual situation of the current user can be obtained, improving the accuracy of the driving score. The driving score can give targeted reminders and suggestions to the user, effectively guiding the user to develop good driving habits, so as to achieve safe, energy-saving, and civilized driving behaviors.

[0021] The additional aspects and advantages of the present invention will be partially given in the following description, partially become apparent from the following description, or be understood through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and / or additional aspects and advantages of the present invention will become apparent and be readily understood from the following description of embodiments in conjunction with the accompanying drawings, in which: Figure 1 is a flowchart of a driving behavior evaluation method according to an embodiment of the present invention; Figure 2 is a display diagram of a vehicle instrument according to an embodiment of the present invention; Figure 3 is a flowchart of a driving behavior evaluation method according to a specific embodiment of the present invention; Figure 4 is a structural block diagram of a driving behavior evaluation device according to an embodiment of the present invention; Figure 5 A structural block diagram of a vehicle according to an embodiment of the present invention.

[0023] Reference numerals: Driving behavior evaluation device 2; Acquisition module 21; First determination module 22; Second determination module 23; Vehicle 3. Detailed implementation manners

[0024] Embodiments of the present invention will be described in detail below. The embodiments described with reference to the accompanying drawings are exemplary. Embodiments of the present invention will be described in detail below.

[0025] The following Figure 1 - Figure 2 describes the driving behavior evaluation method of the embodiments of the present invention.

[0026] As Figure 1 shown, the driving behavior evaluation method of the embodiments of the present invention includes at least step S1-step S3.

[0027] Step S1, acquiring driving behavior data of a user.

[0028] In an embodiment, driving behavior data of a user can be collected and sorted in real time through in-vehicle sensors or other data acquisition devices. Specifically, the driving behavior data includes but is not limited to seat belts, vehicle driving time, vehicle driving angular velocity, vehicle driving speed, etc. By acquiring the driving behavior data of the user, the driving situation of the user can be comprehensively understood, including but not limited to safe driving situation, civilized driving situation, and energy-saving driving situation, so as to facilitate subsequent scoring of the user's driving behavior.

[0029] Step S2, determining a target score according to the driving behavior data.

[0030] In an embodiment, after obtaining driving behavior data, the driving behavior data can be classified and filtered to determine target scores corresponding to multiple dimensions. For example, it is divided into 3 dimensions, and the corresponding target scores include safe driving score, civilized driving score, and energy-saving driving score. By establishing target scores for multiple dimensions, clear, detailed, accurate, and effective information can be obtained, facilitating the determination of accurate driving scores in the later stage.

[0031] When determining the target score, statistical principles are adopted. During the entire driving cycle of the vehicle, each detected violation item is counted once, and the corresponding target score is determined according to the proportion of different driving behaviors in the entire driving cycle. This can effectively count the proportion of the number of violations of the user in this driving cycle, discover the user's non-standard behaviors, and thus obtain a relatively real score, avoiding the situation where complex driving score calculation methods require background processing or cloud processing, resulting in slow calculation and inability to match the real situation.

[0032] Step S3: Determine the driving score according to the target score and the assigned weight parameter.

[0033] In an embodiment, after obtaining the target score, the corresponding assigned weight parameter is determined according to the driving habits of different users and big data. By using the dynamic assigned weight parameter to adjust different target scores, the total driving score obtained is closer to the real situation of the current user. According to the driving score, targeted driving suggestions can be given to the user, thus better guiding or standardizing the driver's behavior.

[0034] According to the driving behavior evaluation method of the embodiment of the present invention, by obtaining the driving behavior data of the user, classifying and filtering the driving behavior data, obtaining clear, detailed, accurate, and effective information, determining the target scores of multiple dimensions, and using the dynamic assigned weight parameter to adjust the target scores to obtain a driving score closer to the real situation of the current user, improving the accuracy of the driving score. The driving score can give targeted reminders and suggestions to the user, effectively guiding the user to develop good driving habits, so as to achieve safe, energy-saving, and civilized driving behaviors.

[0035] In some embodiments, the target score includes a first target score. Determining the target score according to the driving behavior data includes: determining the seatbelt not fastened score, fatigue driving score, sharp turn score, sudden acceleration score, and sudden deceleration score according to the driving behavior data; determining the first target score according to the seatbelt not fastened score, fatigue driving score, sharp turn score, sudden acceleration score, sudden deceleration score, and safe driving weight parameter.

[0036] In an embodiment, after obtaining the driving behavior data, the first target score, that is, the safe driving score, is determined according to the driving behavior data. The safe driving score can be divided into the seatbelt not fastened score and the fatigue driving score , Sharp turn score , Hard acceleration score and hard deceleration score , where the initial score for each item is 100 points, and the safe driving weight parameter for each item is Mn. This weight value can be calibrated and modified in the future, and at the same time, some space for expansion is reserved for adding some safety items in the future.

[0037] Specifically, if the vehicle enters the driving state and the seat belt is not fastened within the specified time, it will be counted once. The same applies to the driver and front passenger. At the end of this driving cycle, the corresponding score will be punished according to the number of counts to determine the seat belt not fastened score. ; When the vehicle continuously drives for more than 2 hours, more than 4 hours, and more than 6 hours, higher scores will be continuously punished to remind the user to determine the fatigue driving score. ; At different vehicle speeds, judge the angular velocity of the steering wheel for a sharp turn. The greater the speed, the smaller the corresponding angular velocity of the steering wheel to determine the sharp turn score. ; When it is determined that the acceleration of the vehicle is greater than a certain threshold, it is counted once. Throughout the cycle, the corresponding score is punished according to the number of counts to determine the hard acceleration score. ; When it is determined that the deceleration of the vehicle is less than a certain threshold, it is counted once. Throughout the cycle, the corresponding score is punished according to the number of times to determine the hard deceleration score. .

[0038] In some embodiments, when determining the first target score according to the seat belt not fastened score, fatigue driving score, sharp turn score, hard acceleration score, hard deceleration score and safe driving weight parameter, substitute the seat belt not fastened score, fatigue driving score, sharp turn score, hard acceleration score, hard deceleration score and safe driving weight parameter into the following formula: , where, is the first target score, is the seat belt not fastened score, is the first safe driving weight parameter, is the fatigue driving score, is the second safe driving weight parameter, is the sharp turn score, is the third safe driving weight parameter, is the hard acceleration score, is the fourth safe driving weight parameter, is the hard deceleration score, is the fifth safe driving weight parameter. Among them + + + + = 1, and , , , and are calibratable.

[0039] In some embodiments, the target score includes a second target score. Determining the target score according to the driving behavior data includes: determining a turn signal score, a lane change score, a horn score, and an identification driving score according to the driving behavior data; determining the second target score according to the turn signal score, the lane change score, the horn score, the identification driving score, and the civilized driving weight parameter.

[0040] In an embodiment, after obtaining the driving behavior data, the second target score, i.e., the civilized driving score, is determined according to the driving behavior data. The civilized driving score can be divided into a turn signal score , a lane change score , a horn score and an identification driving score . Among them, the initial score of each item is 100 points, and the civilized driving weight parameter of each item is En. This weight value can be calibrated and modified in the future, and at the same time, some civilized items are reserved for future expansion.

[0041] Specifically, when it is detected that the steering wheel angle is greater than a certain angle, if there is no turn signal status at this time, it is determined that the turn signal is not turned on, and it is counted once to determine the turn signal score ; when the vehicle is running, if the steering wheel steering angle is greater than a certain threshold, it is counted once, and a penalty score is given by the distance traveled in this journey. If the defined number of lane change indexes per kilometer is 5 times under normal circumstances, if the vehicle travels 2 kilometers in this cycle, it is normal to have 10 times. If the vehicle changes lanes 13 times in total within 2 kilometers, the corresponding score is penalized to determine the lane change score ; when it is detected that the horn sounds continuously for a certain time, it is counted once, and within the preset time, the horn is pressed the preset number of times continuously. For example, if the horn is pressed 3 times within 10s, it is counted once, and the corresponding score is penalized according to the number of times to determine the horn score ; the vehicle can automatically identify road markings and speed limit markings. When the current markings do not match the actual status, it is counted once. For example, when exceeding the speed limit sign by 10%, turning under the no-turning mark, or sounding the horn under the no-honking mark, etc., the corresponding score is penalized according to the number of times to determine the identification driving score .

[0042] In some embodiments, when determining the second target score according to the turn signal score, the lane change score, the horn score, the identification driving score, and the civilized driving weight parameter, substitute the turn signal score, the lane change score, the horn score, the identification driving score, and the civilized driving weight parameter into the following formula: , Among them, is the second target score, is the turn signal score, is the first civilized driving weight parameter, is the lane change score, is the second civilized driving weight parameter, is the horn score, is the third civilized driving weight parameter, is the identification driving score, is the fourth civilized driving weight parameter. Among them, + + + = 1, and , , , and are calibratable.

[0043] In some embodiments, the target score includes a third target score. Determining the target score based on driving behavior data includes: determining a driving mode score, an energy recovery mode score, an air conditioner score, and a vehicle speed score according to the driving behavior data; determining the third target score according to the driving mode score, the energy recovery mode score, the air conditioner score, the vehicle speed score, and the energy-saving driving weight parameter.

[0044] In an embodiment, after obtaining the driving behavior data, the third target score, i.e., the energy-saving driving score, is determined according to the driving behavior data. The energy-saving driving score can be divided into a driving mode score , an energy recovery mode score , an air conditioner score , and a vehicle speed score . Among them, the initial score of each item is 100 points, and the civilized driving weight parameter of each item is Fn. This weight value can be calibrated and modified in the future, and at the same time, some civilized items are reserved for future expansion.

[0045] Specifically, the vehicle now has three driving modes: ECO (Ecology, Conservation, Optimization) mode, POWER mode, and AUTO mode. The driving mode score is determined according to the proportion of different modes in the entire driving cycle . If the whole journey is in ECO mode, the score is 100 full marks, AUTO mode is 90, POWER mode is 80. If the proportion of ECO mode in the total mileage in the driving cycle is F ECO , the proportion of POWER mode in the total mileage is F POWER , and the proportion of AUTO mode in the total mileage is FAUTO = 1 - F ECO -F POWER , then the driving mode score: = 100 * F ECO + 90 * F POWER + 80 * (1 - F ECO -F POWER ), for example, F ECO = 20%, F POWER = 30%, F AUTO = 50%, then the driving mode score: = 100 * 20% + 90 * 30% + 80 * 50% = 56.5.

[0046] The vehicle now has four energy recovery modes: strong recovery mode, medium recovery mode, weak recovery mode, AUTO. The energy recovery mode score is determined according to the proportion of different modes in the whole driving cycle. , if the whole journey is in the strong recovery mode, it is a full score of 100, the AUTO recovery mode is 95, the medium recovery mode is 85, and the weak recovery mode is 80. If the proportion of the strong recovery mode in the total mileage of the driving cycle is F 强 , the proportion of the AUTO recovery mode in the total mileage is F AUTO , the proportion of the medium recovery mode in the total mileage is F 中 , the proportion of the weak recovery mode in the total mileage is F 弱 = 1 - F 中 -F 强 -F AUTO , then the energy recovery mode score: = 100 * F 强 + 95 * F AUTO + 85 * F 中 + 80 * (1 - F 中 -F 强 -F AUTO ).

[0047] If the vehicle tries to turn on the air conditioner as little as possible when the temperature is suitable, the energy consumption can be effectively reduced. When the temperature is within the preset temperature range, for example, greater than 16 degrees and less than 24 degrees, the vehicle is considered to be at a suitable temperature. At this time, the air conditioner is in the off state, and the air conditioner score is a full score. If the air conditioner is turned on and maintained for a certain time within the preset temperature range, the corresponding score will be penalized. In the case outside this preset temperature range, the user can turn on the air conditioner according to the demand, and it is not included in the air conditioner score for the time being. .

[0048] If the vehicle speed is within the energy-saving range, i.e., the preset range of the maximum vehicle speed, throughout the entire driving cycle. For example, if 3 / 4 of the maximum vehicle speed is set as the energy-saving vehicle speed, corresponding points will be deducted if it is higher than 3 / 4 of the maximum vehicle speed, and full marks will be given if it is lower than 3 / 4 of the maximum vehicle speed. The vehicle speed score is determined by calculating the proportion of the vehicle speed. If all are within the energy-saving range, the full score is 100; otherwise, through proportion calculation. For example, if the proportion of the vehicle speed below 3 / 4 of the maximum vehicle speed in the total mileage is 20% and the proportion below 3 / 4 is 80%, then the air-conditioning score is: =100 - 100 * 20% = 80.

[0049] In some embodiments, when determining the third target score based on the driving mode score, energy recovery mode score, air-conditioning score, vehicle speed score, and energy-saving driving weight parameter, substitute the driving mode score, energy recovery mode score, air-conditioning score, vehicle speed score, and energy-saving driving weight parameter into the following formula: , Among them, is the third target score, is the driving mode score, is the first energy-saving driving weight parameter, is the energy recovery mode score, is the second energy-saving driving weight parameter, is the air-conditioning score, is the third energy-saving driving weight parameter, is the vehicle speed score, is the fourth energy-saving driving weight parameter. Among them, + + =1, and 、 、 can be calibrated.

[0050] In some embodiments, determining the driving score based on the target score and the allocation weight parameter includes: , Among them, is the driving score, is the first target score, is the first allocation weight parameter, is the second target score, is the second allocation weight parameter, is the third target score, is the third allocation weight parameter.

[0051] Among them, + + = 1, and , , can be calibrated.

[0052] In the embodiment, the allocation weight parameter will dynamically adjust the weight ratio according to the driving habits of different users. Through the driving habits for a period of time, if one of the three major indexes of the vehicle maintains a relatively high score, the weight value will be appropriately reduced. By dynamically adjusting the weight of the weaker item, the penalty intensity is increased to achieve the purpose of guiding the driving user.

[0053] After determining the driving score, the vehicle will display the driving score and each score on the instrument in a similar Figure 2 way to show the driving score of this driving cycle to the user. The user can intuitively see his own driving habits in this driving cycle through the picture. And by adopting the above-mentioned architecture design of the driving score, the previous driving cycle can be stored in the historical record, and after the end of this cycle, the historical record and the current driving cycle can be compared to find the non-standard behaviors of the user, improve and deepen the behaviors that the user needs to improve, give targeted suggestions to the driver, and guide the user to optimize towards the goals of more energy-saving, safer and more civilized.

[0054] Next, refer to Figure 3 to illustrate the driving behavior evaluation method of the embodiment of the present invention by way of example.

[0055] As Figure 3 shown, the driving behavior evaluation method of the embodiment of the present invention at least includes steps S11 - step S18.

[0056] Step S11, obtain the driving behavior data of the user.

[0057] Step S12, determine the unfastened seat belt score, fatigue driving score, sharp turn score, hard acceleration score and hard deceleration score according to the driving behavior data.

[0058] Step S13, determine the first target score according to the unfastened seat belt score, fatigue driving score, sharp turn score, hard acceleration score, hard deceleration score and the safe driving weight parameter.

[0059] Step S14, determine the turn signal score, lane change score, horn score and marked driving score according to the driving behavior data.

[0060] Step S15, determine the second target score according to the turn signal score, lane change score, horn score, marked driving score and the civilized driving weight parameter.

[0061] Step S16, determine the driving mode score, energy recovery mode score, air conditioner score and vehicle speed score according to the driving behavior data.

[0062] Step S17: Determine a third target score based on the driving mode score, energy recovery mode score, air conditioner score, vehicle speed score, and energy-saving driving weight parameter.

[0063] Step S18: Determine a driving score based on the target score and the allocation weight parameter.

[0064] According to the driving behavior evaluation method of the embodiment of the present invention, by obtaining the driving behavior data of the user, classifying and screening the driving behavior data, obtaining clear and detailed accurate effective information, determining the target scores of multiple dimensions, and using dynamic allocation weight parameters to adjust the target scores, a driving score closer to the actual situation of the current user can be obtained, improving the accuracy of the driving score. The driving score can give targeted reminders and suggestions to the user, effectively guiding the user to develop good driving habits, so as to achieve safe, energy-saving, and civilized driving behaviors.

[0065] The following Figure 4 describes the driving behavior evaluation device 2 of the embodiment of the present invention.

[0066] As Figure 4 shown, the driving behavior evaluation device 2 of the embodiment of the present invention includes: an acquisition module 21, a first determination module 22, and a second determination module 23, wherein, The acquisition module 21 is used to acquire the driving behavior data of the user; the first determination module 22 is used to determine a target score according to the driving behavior data; the second determination module 23 is used to determine a driving score according to the target score and the allocation weight parameter.

[0067] In the embodiment, the acquisition module 21 can collect and organize the driving behavior data of the user in real time through in-vehicle sensors or other data acquisition devices. Specifically, the driving behavior data includes but is not limited to seat belts, vehicle driving time, vehicle driving angular velocity, vehicle driving speed, etc. By acquiring the driving behavior data of the user, a more comprehensive understanding of the user's driving situation can be obtained, including but not limited to safe driving situations, civilized driving situations, and energy-saving driving situations, so as to facilitate the subsequent scoring of the user's driving behavior.

[0068] After the first determination module 22 acquires the driving behavior data, it can classify and screen the driving behavior data to determine the target scores corresponding to multiple dimensions. For example, it is divided into 3 dimensions, and the corresponding target scores include safe driving scores, civilized driving scores, and energy-saving driving scores. By establishing the target scores of multiple dimensions, clear and detailed accurate effective information can be obtained, thus facilitating the determination of accurate driving scores in the later stage.

[0069] When determining the target score, statistical principles are adopted. During the entire driving cycle of the vehicle, each detected violation item is counted once, and the corresponding target score is determined according to the proportion of different driving behaviors in the entire driving cycle. This can effectively count the proportion of the number of violations of the user in this driving cycle, discover the user's non-standard behaviors, and thus obtain a relatively true score, avoiding the situation where complex driving score calculation methods require background processing or cloud processing, resulting in slow calculation and inability to match the real situation.

[0070] After the second determination module 23 obtains the target score, it determines the corresponding allocation weight parameters according to the driving habits of different users and big data. By using the dynamic allocation weight parameters to adjust different target scores, the total driving score obtained is closer to the real situation of the current user. According to the driving score, targeted driving suggestions can be given to the user, so as to better guide or standardize the driver's behavior.

[0071] According to the driving behavior evaluation device 2 of the embodiment of the present invention, by obtaining the driving behavior data of the user, classifying and screening the driving behavior data, obtaining clear and detailed and accurate effective information, determining the target scores of multiple dimensions, and using dynamic allocation weight parameters to adjust the target scores to obtain a driving score closer to the real situation of the current user, improving the accuracy of the driving score. The driving score can give targeted reminders and suggestions to the user, effectively guiding the user to develop good driving habits, so as to achieve safe, energy-saving and civilized driving behaviors.

[0072] In some embodiments, the target score includes the first target score. When the first determination module 22 determines the target score according to the driving behavior data, it is specifically used for: determining the seat belt not fastened score, fatigue driving score, sharp turn score, rapid acceleration score and rapid deceleration score according to the driving behavior data; determining the first target score according to the seat belt not fastened score, fatigue driving score, sharp turn score, rapid acceleration score, rapid deceleration score and safe driving weight parameter.

[0073] In the embodiment, after the first determination module 22 obtains the driving behavior data, it determines the first target score, that is, the safe driving score, according to the driving behavior data. The safe driving score can be divided into the seat belt not fastened score 、fatigue driving score 、sharp turn score 、rapid acceleration score and rapid deceleration score , where the initial score of each item is 100 points, and the safe driving weight parameter of each item is Mn. This weight value can be calibrated and modified in the future, and at the same time, some space is reserved for expanding some safety items in the future.

[0074] Specifically, when the vehicle enters the driving state and the seat belt is not fastened within the specified time, it will be counted once. The same applies to the driver's and passenger's seats. At the end of this driving cycle, the corresponding score will be punished according to the number of counts to determine the score for not fastening the seat belt. ; When the vehicle continuously drives for more than 2 hours, more than 4 hours, and more than 6 hours, higher scores will be continuously punished to remind the user to determine the fatigue driving score. ; At different vehicle speeds, the angular velocity of the steering wheel for sharp turns is judged. The greater the speed, the smaller the corresponding angular velocity of the steering wheel, to determine the sharp turn score. ; When it is judged that the acceleration of the vehicle is greater than a certain threshold, it will be counted once. In the whole cycle, the corresponding score will be punished according to the number of counts to determine the rapid acceleration score. ; When it is judged that the deceleration of the vehicle is less than a certain threshold, it will be counted once. In the whole cycle, the corresponding score will be punished according to the number of times to determine the rapid deceleration score. .

[0075] In some embodiments, the target score includes a second target score. When the first determination module 22 determines the target score according to the driving behavior data, it is specifically used to: determine the turn signal score, lane change score, horn score, and marked driving score according to the driving behavior data; determine the second target score according to the turn signal score, lane change score, horn score, marked driving score, and the civilized driving weight parameter.

[0076] In an embodiment, after the first determination module 22 obtains the driving behavior data, it determines the second target score, that is, the civilized driving score, according to the driving behavior data. The civilized driving score can be divided into the turn signal score , lane change score , horn score and marked driving score . Among them, the initial score of each item is 100 points, and the civilized driving weight parameter of each item is En. This weight value can be calibrated and modified in the future, and at the same time, some room for expansion is reserved for adding some civilized items in the future.

[0077] Specifically, when it is detected that the steering wheel angle is greater than a certain angle, if there is no turn signal state at this time, it is determined that the turn signal is not turned on during the turn and is counted once to determine the turn signal score. ; When the vehicle is running, if the steering wheel turning angle is greater than a certain threshold, it will be counted once. The penalty score will be given according to the distance traveled during this journey. If the defined number of lane change indexes per kilometer under normal conditions is 5 times, if the vehicle travels 2 kilometers in this cycle, it is normally 10 times. If the vehicle changes lanes 13 times in total within 2 kilometers, the corresponding score will be punished to determine the lane change score. ;When it is detected that the horn sounds continuously for a certain period of time, it is counted once. At the same time, within the preset time, the horn is pressed the preset number of times continuously. For example, if the horn is pressed 3 times within 10s, it is counted once, and the corresponding score is penalized according to the number of times to determine the horn score. ;The vehicle can automatically identify road markings and speed limit markings. When the current markings do not match the actual status, it is counted once. For example, when exceeding the speed limit sign by 10%, turning under a no-turning sign, or honking under a no-honking sign, etc., the corresponding score is penalized according to the number of times to determine the marking driving score. 。

[0078] In some embodiments, the target score includes a third target score. When the first determination module 22 determines the target score according to the driving behavior data, it is specifically configured to: determine the driving mode score, energy recovery mode score, air conditioner score, and vehicle speed score according to the driving behavior data; determine the third target score according to the driving mode score, energy recovery mode score, air conditioner score, vehicle speed score, and energy-saving driving weight parameter.

[0079] In an embodiment, after the first determination module 22 obtains the driving behavior data, it determines the third target score, that is, the energy-saving driving score, according to the driving behavior data. The energy-saving driving score can be divided into the driving mode score , energy recovery mode score , air conditioner score and vehicle speed score . Among them, the initial score of each item is 100 points, and the civilized driving weight parameter of each item is Fn. This weight value can be calibrated and modified in the future, and at the same time, some civilized items are reserved for expansion in the future.

[0080] Specifically, the vehicle now has three driving modes: ECO (Ecology, Conservation, Optimization) mode, POWER mode, and AUTO mode. The driving mode score is determined according to the proportion of different modes in the whole driving cycle . If the whole journey is in ECO mode, it is 100 points full marks, AUTO mode is 90 points, and POWER mode is 80 points. If the proportion of ECO mode in the driving cycle is F ECO , the proportion of POWER mode in the total mileage is F POWER , and the proportion of AUTO mode in the total mileage is F AUTO =1 - F ECO -F POWER , then the driving mode score: =100*F ECO +90*F POWER +80*(1 - F ECO -F POWER), such as F ECO = 20%, F POWER = 30%, F AUTO = 50%, then the driving mode score: = 100 * 20% + 90 * 30% + 80 * 50% = 56.5.

[0081] The vehicle now has four energy recovery modes: strong recovery mode, medium recovery mode, weak recovery mode, AUTO. The energy recovery mode score is determined according to the proportion of different modes throughout the driving cycle. If the whole journey is in the strong recovery mode, it is a full score of 100. The AUTO recovery mode is 95, the medium recovery mode is 85, and the weak recovery mode is 80. If the proportion of the strong recovery mode in the total mileage during the driving cycle is F 强 , the proportion of the AUTO recovery mode in the total mileage is F AUTO , the proportion of the medium recovery mode in the total mileage is F 中 , the proportion of the weak recovery mode in the total mileage is F 弱 = 1 - F 中 - F 强 - F AUTO , then the energy recovery mode score: = 100 * F 强 + 95 * F AUTO + 85 * F 中 + 80 * (1 - F 中 - F 强 - F AUTO ).

[0082] If the vehicle tries to use the air conditioner as little as possible when the temperature is suitable, it can effectively reduce energy consumption. When the temperature is within the preset temperature range, for example, greater than 16 degrees and less than 24 degrees, the vehicle is considered to be at a suitable temperature. At this time, the air conditioner is in the off state, and the air conditioner score is a full score. If the air conditioner is turned on and maintained for a certain time within the preset temperature range, corresponding scores will be penalized. In the case outside this preset temperature range, the user can turn on the air conditioner according to needs, and it is not included in the air conditioner score for the time being. .

[0083] If the vehicle speed is within the energy-saving range, that is, the preset range of the maximum vehicle speed, during the entire driving cycle. For example, if 3 / 4 of the maximum vehicle speed is set as the energy-saving vehicle speed, if it is higher than 3 / 4 of the maximum vehicle speed, corresponding scores will be penalized, and if it is lower than 3 / 4 of the maximum vehicle speed, it is a full score. The vehicle speed score is determined by calculating the proportion where the vehicle speed is located. , if it is all within the energy-saving range, it is a full score of 100. Otherwise, through proportion calculation. For example, if the proportion of the vehicle speed below 3 / 4 of the maximum vehicle speed in the total mileage is 20%, and below 3 / 4 is 80%, then the air conditioner score: = 100 - 100 * 20% = 80。

[0084] According to the driving behavior evaluation device 2 of the embodiments of the present invention, by obtaining the driving behavior data of the user, classifying and screening the driving behavior data, obtaining clear, detailed, accurate and effective information, determining the target scores in multiple dimensions, and using the dynamically allocated weight parameters to adjust the target scores, a driving score closer to the true situation of the current user can be obtained, improving the accuracy of the driving score. The driving score can give targeted reminders and suggestions to the user, effectively guiding the user to develop good driving habits, so as to achieve safe, energy-saving and civilized driving behaviors.

[0085] The following refers to Figure 5 Describe the vehicle 3 of the embodiments of the present invention.

[0086] As Figure 5 shown, the vehicle 3 of the embodiments of the present invention includes the driving behavior evaluation device 2 as described in the above embodiments.

[0087] According to the vehicle 3 of the embodiments of the present invention, by obtaining the driving behavior data of the user, classifying and screening the driving behavior data, obtaining clear, detailed, accurate and effective information, determining the target scores in multiple dimensions, and using the dynamically allocated weight parameters to adjust the target scores, a driving score closer to the true situation of the current user can be obtained, improving the accuracy of the driving score. The driving score can give targeted reminders and suggestions to the user, effectively guiding the user to develop good driving habits, so as to achieve safe, energy-saving and civilized driving behaviors.

[0088] In the description of this specification, the descriptions with reference to terms such as "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" etc. mean that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example.

[0089] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and purposes of the present invention. The scope of the present invention is defined by the claims and their equivalents.

Claims

1. A driving behavior evaluation method, characterized in that: include: Obtain user's driving behavior data; determining a target score based on the driving behavior data; A driving score is determined based on the target score and the assigned weight parameters.

2. The driving behavior evaluation method according to claim 1, characterized in that: The target score includes a first target score, and determining the target score according to the driving behavior data includes: Determine a seatbelt unfastened score, a fatigue driving score, a sharp turn score, a sudden acceleration score, and a sudden deceleration score according to the driving behavior data; The first target score is determined according to the seat belt unfastened score, the fatigue driving score, the sharp turn score, the sudden acceleration score, the sudden deceleration score and a safe driving weight parameter.

3. The driving behavior evaluation method according to claim 2, characterized in that: When determining the first target score according to the seat belt unfastened score, the fatigue driving score, the sharp turn score, the sudden acceleration score, the sudden deceleration score and the safe driving weight parameter, the seat belt unfastened score, the fatigue driving score, the sharp turn score, the sudden acceleration score, the sudden deceleration score and the safe driving weight parameter are substituted into the following formula: ， in, Score the first goal, For the seat belt not being fastened, is the first safe driving weight parameter, scoring the fatigue driving, is the second safe driving weight parameter, Score the sharp turn, is the third safety driving weight parameter, Score the rapid acceleration, is the fourth safe driving weight parameter, Score the sharp deceleration, It is the fifth safe driving weight parameter.

4. The driving behavior evaluation method according to claim 1, characterized in that: The target score includes a second target score, and determining the target score according to the driving behavior data includes: Determine a turn signal score, a lane change score, a horn score, and a sign driving score based on the driving behavior data; The second target score is determined according to the turn signal score, the lane change score, the horn score, the sign driving score and the civilized driving weight parameter.

5. The driving behavior evaluation method according to claim 4, characterized in that: When determining the second target score according to the turn signal score, the lane change score, the horn score, the sign driving score and the civilized driving weight parameter, the turn signal score, the lane change score, the horn score, the sign driving score and the civilized driving weight parameter are substituted into the following formula: ， in, Score the second goal, Rate the turn signal, is the driving weight parameter of the First Civilization, scoring the lane change, is the second civilization driving weight parameter, Rate the speaker, is the driving weight parameter of the third civilization, Provide a driving score for the logo, It is the driving weight parameter of the Fourth Civilization.

6. The driving behavior evaluation method according to claim 1, characterized in that: The target score includes a third target score, and the target score is determined according to the driving behavior data, including: Determining a driving mode score, an energy recovery mode score, an air conditioning score, and a vehicle speed score according to the driving behavior data; The third target score is determined according to the driving mode score, the energy recovery mode score, the air conditioning score, the vehicle speed score and the energy-saving driving weight parameter.

7. The driving behavior evaluation method according to claim 6, characterized in that: When determining the third target score according to the driving mode score, the energy recovery mode score, the air conditioning score, the vehicle speed score and the energy-saving driving weight parameter, the driving mode score, the energy recovery mode score, the air conditioning score, the vehicle speed score and the energy-saving driving weight parameter are substituted into the following formula: ， in, scoring the third objective, Rate the driving mode, is the first energy-saving driving weight parameter, scoring the energy recovery mode, is the second energy-saving driving weight parameter, Rate the air conditioner, is the third energy-saving driving weight parameter, rate the speed of the vehicle, It is the fourth energy-saving driving weight parameter.

8. The driving behavior evaluation method according to claim 1, characterized in that: Determining a driving score according to the target score and the assigned weight parameters includes: ， in, rate said driving, Score the first goal, Assign a weight parameter to the first, Score the second goal, Assign a weight parameter to the second, Score the third goal, Assign a weight parameter to the third.

9. A driving behavior evaluation device, characterized in that: include: An acquisition module, used to acquire the user's driving behavior data; A first determination module, configured to determine a target score according to the driving behavior data; The second determination module is used to determine the driving score according to the target score and the assigned weight parameter.

10. A vehicle, characterized in that: include: The driving behavior evaluation device according to claim 9.

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