Intelligent tire pressure automatic adjusting method for energy-saving driving

Abstract

The invention provides an intelligent tire pressure automatic adjusting method for energy-saving driving, which relates to the technical field of data processing, and comprises the following steps: monitoring the pressure of a target tire in real time by using a set monitoring tool to obtain first pressure data; determining a dynamic tire pressure standard of the current target tire according to the application scene and the real-time use working condition of the target tire; and comparing the first air pressure data with a dynamic tire standard, and automatically adjusting the tire pressure when the tire pressure of the target tire is abnormal. The air pressure of a target tire is monitored in real time through a set monitoring tool, and first air pressure data are obtained; determining a dynamic tire pressure standard of the current target tire according to the application scene and the real-time use working condition of the target tire; and comparing the first air pressure data with a dynamic tire standard, and automatically adjusting the tire pressure when the tire pressure of the target tire is abnormal, so that accurate and intelligent adjustment of the tire pressure can be realized, and energy-saving driving can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to an intelligent automatic tire pressure adjustment method for energy-saving driving. Background Art

[0002] Tire pressure is one of the key factors affecting vehicle energy efficiency and driving safety. Maintaining appropriate tire pressure can reduce friction between the tire and the ground, reduce fuel consumption, and also help improve driving stability and safety. However, the traditional tire pressure adjustment method requires the driver to do it manually, which is not only cumbersome to operate, but also difficult to ensure the accuracy and stability of the pressure. Therefore, how to intelligently adjust the tire pressure to help achieve energy-saving driving has become one of the current research focuses.

[0003] Therefore, the present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving. Summary of the invention

[0004] The present invention provides an intelligent automatic tire pressure adjustment method for energy-saving driving, which is used to monitor the air pressure of a target tire in real time by using a set monitoring tool to obtain first air pressure data; determine the dynamic tire pressure standard of the current target tire according to the application scenario and real-time usage condition of the target tire; compare the first air pressure data with the dynamic tire standard, and automatically adjust the tire pressure when the tire pressure of the target tire is abnormal, so as to realize accurate and intelligent adjustment of the tire pressure, thereby helping to achieve energy-saving driving.

[0005] The present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving, comprising: Step 1: Using a set monitoring tool to monitor the air pressure of a target tire in real time to obtain first air pressure data; Step 2: Determine the real-time dynamic tire pressure standard range of the current target tire based on the application scenario and actual use conditions of the target tire; Step 3: comparing the first air pressure data with a real-time dynamic tire pressure standard range, and automatically adjusting the tire pressure when the tire pressure of the target tire is abnormal; Wherein, step 2 includes: Using a preset camera installed on the front side of the target tire to shoot the road surface at a preset frequency to obtain a road surface image set; After extracting key frames from the road surface image set and processing the key frame images, a key road surface image is obtained; Analyzing the road condition of the road ahead of the target tire based on the key road surface image to obtain a road condition assessment coefficient; Using the key basic information of the current target tire and the road condition assessment coefficient as setting factors, obtain the dynamic tire pressure standard range; From the dynamic tire pressure standard range, the best dynamic tire pressure standard range is screened and obtained, and is output as the real-time dynamic tire pressure standard range of the current target tire.

[0006] Preferably, using a set monitoring tool to monitor the air pressure of the target tire in real time to obtain first air pressure data includes: According to the basic tire information of the target tire, determine the number of tools and designated monitoring points for installing and setting monitoring tools; Establishing a tire-monitoring tool list for the target tire, wherein the tire-monitoring tool list records the tool usage status of each set monitoring tool; The set monitoring tool is installed at a designated monitoring point inside the target tire and real-time monitoring is performed to obtain first air pressure data of the target tire.

[0007] Preferably, the key basic information includes the model and load range of the vehicle to which the tire belongs, and the tire type and specification.

[0008] Preferably, based on the key road surface image, the road condition of the road ahead of the target tire is analyzed to obtain a road condition assessment coefficient, including: Extracting features from the key road surface image using a pre-established feature extraction model to obtain a first analysis feature; Performing feature screening on the first analysis feature using a set feature selection algorithm to obtain key analysis features; Using the key analysis feature and the road surface type as matching conditions, a first road surface condition map having a feature similarity score between the reference image feature and the key analysis feature greater than a set feature similarity threshold is obtained by matching from a preset road surface condition library, and a first road surface condition map set is obtained by combining the first road surface condition map set; Obtaining a corresponding road condition evaluation coefficient for each first road condition map in the first road condition map set, and calculating a key evaluation coefficient in combination with a feature similarity score; The calculation formula of the key evaluation coefficient is as follows: ; In the formula, It is represented as the corresponding key evaluation coefficient of the current target tire; It is represented as the road condition evaluation coefficient of the i-th first road condition map in the first road condition map set corresponding to the current target tire, where i=1, 2, 3, , n; n represents the total number of first road condition maps in the first road condition map set; denoted as the feature similarity score between the key analysis features obtained from the corresponding key road surface image of the current target tire and the reference image features of the i-th first road condition image; is represented as the maximum score obtained from the feature similarity scores of the key analysis features obtained from the corresponding key road surface image of the current target tire and the reference image features of all the first road condition images; is represented as the minimum score obtained from the feature similarity scores of the key analysis features obtained from the corresponding key road surface image of the current target tire and the reference image features of all the first road condition images; represented as an average score obtained based on feature similarity scores between key analysis features obtained from the corresponding key road surface image of the current target tire and reference image features of all first road condition images; The key evaluation coefficient is used as a road condition evaluation coefficient of the road surface that the current target tire is about to travel on.

[0009] Preferably, the optimal dynamic tire pressure standard range is screened from the dynamic tire pressure standard range, including: Obtaining a first tire using a dynamic tire pressure standard that falls within a current dynamic tire pressure standard range; Select tires whose key basic information is consistent with the target tire from the first tires, and mark them as reference tires, and mark the vehicles corresponding to the reference tires as reference vehicles; Acquire historical driving condition data of a corresponding reference vehicle when the reference tire is set to a dynamic tire pressure standard within a current dynamic tire pressure standard range; After preprocessing the acquired historical driving condition data, the data is input into a pre-established energy-saving evaluation model, the energy-saving performance of the current reference vehicle is analyzed, and the energy-saving performance evaluation coefficient is obtained; Marking a reference tire whose energy-saving performance evaluation coefficient exceeds a set energy-saving performance threshold as a reference tire; When there is only a single reference tire, the dynamic tire pressure standard set when the energy-saving performance evaluation coefficient of the reference tire is the highest is regarded as the reference tire pressure standard, and the corresponding reference tire is marked as a key tire; When there are multiple reference tires, the dynamic tire pressure standards set when the energy-saving performance evaluation coefficients of all reference tires are the best are summarized from large to small according to the energy-saving performance evaluation coefficients to obtain a reference tire pressure standard list; Selecting the first tire pressure standard in the reference tire pressure standard list as the key tire pressure standard output, and marking the reference tire corresponding to the key tire pressure standard as the key tire; The set adjustment parameters are obtained by analyzing the differences between the key tire and the target tire, and the key tire pressure standard is adjusted and then output as the optimal dynamic tire pressure standard range.

[0010] Preferably, the adjustment parameters are set by analyzing the difference between the key tire and the target tire, and the key tire pressure standard is adjusted and then output as the optimal dynamic tire pressure standard range, including: Extracting historical wear data of the current key tire and the target tire from the tire usage database in sequence, and marking them as first wear data and second wear data respectively; Using the set wear analysis index, the wear degree analysis is performed on the first wear data or the second wear data, and the actual wear coefficient of the key tire or the target tire is obtained accordingly; Based on the actual wear coefficients of the key tires and the target tires, the set adjustment parameters are calculated; The calculation formula for setting the adjustment parameters is as follows: ; In the formula, It means setting adjustment parameters; Expressed as the actual wear factor of the key tire; Expressed as the actual wear coefficient of the target tire; It is expressed as the average value of the corresponding road surface evaluation coefficients of the critical tires using the current critical tire pressure standard; It is represented as the road condition evaluation coefficient of the current target tire's driving road surface; Expressed as difference compensation coefficient; After the key tire pressure standard is adjusted using the set adjustment parameters, an optimal dynamic tire pressure standard range is obtained and output.

[0011] Preferably, comparing the first air pressure data with a real-time dynamic tire pressure standard range, and automatically adjusting the tire pressure when the tire pressure of the target tire is abnormal, comprises: comparing the first air pressure data with a real-time dynamic tire pressure standard range, and determining that the current target tire pressure is normal when the first air pressure data falls within the real-time dynamic tire pressure standard range; When the first air pressure data is greater than the tire pressure standard upper limit of the real-time dynamic tire pressure standard range, determining that the tire pressure of the current target tire is abnormal, and obtaining a first tire pressure difference value between the first air pressure data and the tire pressure standard upper limit and a first tire pressure adjustment direction; If the first tire pressure difference value is not greater than the set dynamic reference difference threshold, adjusting the target tire to the tire pressure standard upper limit at one time according to the first tire pressure adjustment direction; If the first tire pressure difference value is greater than the set dynamic reference difference threshold, half of the first tire pressure difference value is calculated as the first adjustment amount, and the tire pressure of the current target tire is adjusted for the first time according to the first tire pressure adjustment direction; Obtaining a first remaining difference value between the adjusted air pressure data of the target tire after the first tire pressure adjustment and the upper limit of the current tire pressure standard; The first residual gap value is divided according to a first set dynamic ratio to obtain a first fine adjustment amount, and then the tire pressure of the current target tire is adjusted multiple times by the first fine adjustment amount in combination with the first tire pressure adjustment direction until the tire pressure is adjusted to the upper limit of the tire pressure standard; When the first air pressure data is less than the lower limit of the tire pressure standard of the real-time dynamic tire pressure standard range, determining that the tire pressure of the current target tire is abnormal, and obtaining a second tire pressure difference value between the first air pressure data and the lower limit of the tire pressure standard and a second tire pressure adjustment direction; If the second tire pressure difference value is not greater than the set dynamic reference difference threshold, adjusting the target tire to the tire pressure standard lower limit at one time according to the second tire pressure adjustment direction; If the second tire pressure difference value is greater than the set dynamic reference difference threshold, half of the second tire pressure difference value is calculated as the second adjustment amount, and the tire pressure of the current target tire is adjusted for the first time according to the second tire pressure adjustment direction; Obtaining a second remaining difference value between the adjusted air pressure data of the target tire after the first tire pressure adjustment and the lower limit of the current tire pressure standard; The second residual gap value is divided according to the second set dynamic ratio to obtain a second fine adjustment amount, and then the tire pressure of the current target tire is adjusted multiple times by the second fine adjustment amount in combination with the second tire pressure adjustment direction until it is adjusted to the lower limit of the tire pressure standard.

[0012] Compared with the prior art, the present invention has the following beneficial effects: By using a set monitoring tool to monitor the air pressure of the target tire in real time, the first air pressure data is obtained; according to the application scenario and real-time usage condition of the target tire, the dynamic tire pressure standard of the current target tire is determined; the first air pressure data is compared with the dynamic tire standard, and the tire pressure is automatically adjusted when the tire pressure of the target tire is abnormal, so as to realize accurate and intelligent adjustment of the tire pressure, thereby helping to achieve energy-saving driving.

[0013] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0014] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1The present invention is a flowchart of an intelligent tire pressure automatic adjustment method for energy-saving driving in an embodiment of the present invention. DETAILED DESCRIPTION

[0016] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0017] The embodiment of the present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving, such as Figure 1 As shown, including: Step 1: Using a set monitoring tool to monitor the air pressure of a target tire in real time to obtain first air pressure data; Step 2: Determine the real-time dynamic tire pressure standard range of the current target tire based on the application scenario and actual use conditions of the target tire; Step 3: Compare the first air pressure data with the real-time dynamic tire pressure standard range, and automatically adjust the tire pressure when the tire pressure of the target tire is abnormal.

[0018] In this embodiment, the set monitoring tool refers to a device for real-time monitoring of the air pressure of the target tire, such as a built-in tire pressure monitoring sensor; the first air pressure data refers to the air pressure value of the target tire monitored in real time by the set monitoring tool; the application scenario refers to the road environment conditions used by the target tire; the actual usage condition refers to the historical usage data (such as historical usage time, historical usage duration) and historical maintenance data (such as historical maintenance times, historical maintenance contents) of the target tire; the real-time dynamic tire pressure standard range refers to the tire pressure range determined by considering the application scenario and actual usage condition of the target tire.

[0019] The beneficial effects of the above technical solution are: by using a set monitoring tool to monitor the air pressure of the target tire in real time, the first air pressure data is obtained; according to the application scenario and real-time usage conditions of the target tire, the dynamic tire pressure standard of the current target tire is determined; the first air pressure data is compared with the dynamic tire standard, and the tire pressure is automatically adjusted when the tire pressure of the target tire is abnormal, so as to realize accurate and intelligent adjustment of the tire pressure, thereby helping to achieve energy-saving driving.

[0020] The embodiment of the present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving, which uses a set monitoring tool to monitor the air pressure of a target tire in real time to obtain first air pressure data, including: According to the basic tire information of the target tire, determine the number of tools and designated monitoring points for installing and setting monitoring tools; Establishing a tire-monitoring tool list for the target tire, wherein the tire-monitoring tool list records the tool usage status of each set monitoring tool; The set monitoring tool is installed at a designated monitoring point inside the target tire and real-time monitoring is performed to obtain first air pressure data of the target tire.

[0021] In this embodiment, the basic information of the tire includes the model and load range of the vehicle to which the tire belongs, as well as the tire type (such as radial tires, bias tires, tubeless tires) and specifications (including size, tire width and aspect ratio, etc.); the set monitoring tool refers to a device used to monitor the air pressure of the target tire in real time, such as a built-in tire pressure monitoring sensor; the number of tools refers to the number of monitoring tools required to be installed in order to achieve real-time monitoring of tire pressure, which is the number of monitoring tools required to be installed determined from a predetermined monitoring tool-quantity table based on the tire size as a matching condition, and the predetermined monitoring tool-quantity table is a list consisting of the tire size range and the corresponding tool installation quantity; the designated monitoring point refers to the specific location where the monitoring tool is installed inside the preset tire; the tire-monitoring tool list refers to a list used to record the relationship between each tire and its corresponding monitoring tool, and the tool usage status of the set monitoring tool, wherein the tool usage status includes but is not limited to the installation date, working status, maintenance history, etc.; the first air pressure data is the air pressure data obtained by real-time monitoring by the designated monitoring tool installed inside the target tire.

[0022] The beneficial effect of the above technical solution is: by using the set monitoring tool to monitor the air pressure of the target tire in real time, the first air pressure data obtained can provide an effective data basis for the subsequent automatic adjustment of the tire pressure.

[0023] The embodiment of the present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving, which combines the application scenario and actual use condition of the target tire to determine the real-time dynamic tire pressure standard range of the current target tire, including: Using a preset camera installed on the front side of the target tire to shoot the road surface at a preset frequency to obtain a road surface image set; After extracting key frames from the road surface image set and processing the key frame images, a key road surface image is obtained; Analyzing the road condition of the road ahead of the target tire based on the key road surface image to obtain a road condition assessment coefficient; Using the key basic information of the current target tire and the road condition assessment coefficient as setting factors, obtain the dynamic tire pressure standard range; From the dynamic tire pressure standard range, the best dynamic tire pressure standard range is screened and obtained, and is output as the real-time dynamic tire pressure standard range of the current target tire.

[0024] In this embodiment, the set camera refers to a high-definition camera installed on the front side of the target tire for photographing the road surface in front of the tire to be driven on; the preset frequency refers to the time interval for the camera to photograph the road surface in advance; the road surface image set refers to a collection of images obtained by photographing the road surface in front of the target tire using the set camera at a preset frequency; the key road surface image is obtained by extracting key frames from the road surface image set and then performing image processing on the extracted key frames, wherein the key frame refers to an image frame selected from the road surface image set with a frame clarity greater than a set clarity threshold, the frame clarity is obtained by weighted averaging the evaluation values ​​obtained after evaluation using clarity indicators, the clarity indicators include gradient mean, gradient variance and Laplacian variance, which are indicators determined by calculating the gradient amplitude of each pixel after calculating the gradient of the image in the horizontal and vertical directions using an image gradient operator, and then determining the index according to the gradient amplitude of the entire image, and the weight assigned to the evaluation value after evaluating the clarity indicator is obtained by solving a matrix constructed after pairwise comparison and relative importance scoring using the hierarchical analysis method; the set clarity threshold is predetermined and is generally 0.7.

[0025] In this embodiment, image processing refers to image enhancement and denoising processing; the road condition assessment coefficient refers to a quantitative index obtained by analyzing the road condition of the road ahead of the target tire based on the key road image; the dynamic tire pressure standard range refers to the tire pressure range determined based on the key basic information of the current target tire and the road condition assessment coefficient; the optimal dynamic tire pressure standard range refers to the optimal standard range screened out from the dynamic tire pressure standard range; the real-time dynamic tire pressure standard range refers to the tire pressure range that is finally determined to be used by the current target tire.

[0026] The beneficial effects of the above technical solution are: by analyzing the clarity of images in the road image set to screen key frames, and obtaining key road images after key frame processing; based on the key road image, the road condition of the road ahead of the target tire is analyzed to obtain a road condition assessment coefficient, thereby effectively determining the real-time dynamic tire pressure standard range.

[0027] The embodiment of the present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving, which analyzes the road condition of the road ahead of the target tire based on the key road image to obtain a road condition evaluation coefficient, including: Extracting features from the key road surface image using a pre-established feature extraction model to obtain a first analysis feature; Performing feature screening on the first analysis feature using a set feature selection algorithm to obtain key analysis features; Using the key analysis feature and the road surface type as matching conditions, a first road surface condition map having a feature similarity score between the reference image feature and the key analysis feature greater than a set feature similarity threshold is obtained by matching from a preset road surface condition library, and a first road surface condition map set is obtained by combining the first road surface condition map set; Obtaining a corresponding road condition evaluation coefficient for each first road condition map in the first road condition map set, and calculating a key evaluation coefficient in combination with a feature similarity score; The calculation formula of the key evaluation coefficient is as follows: ; In the formula, It is represented as the corresponding key evaluation coefficient of the current target tire; It is represented as the road condition evaluation coefficient of the i-th first road condition map in the first road condition map set corresponding to the current target tire, where i=1, 2, 3, , n; n represents the total number of first road condition maps in the first road condition map set; denoted as the feature similarity score between the key analysis features obtained from the corresponding key road surface image of the current target tire and the reference image features of the i-th first road condition image; is represented as the maximum score obtained from the feature similarity scores of the key analysis features obtained from the corresponding key road surface image of the current target tire and the reference image features of all the first road condition images; is represented as the minimum score obtained from the feature similarity scores of the key analysis features obtained from the corresponding key road surface image of the current target tire and the reference image features of all the first road condition images; represented as an average score obtained based on feature similarity scores between key analysis features obtained from the corresponding key road surface image of the current target tire and reference image features of all first road condition images; The key evaluation coefficient is used as a road condition evaluation coefficient of the road surface that the current target tire is about to travel on.

[0028] In this embodiment, the feature extraction model refers to a model for extracting features from an image, which is obtained by collecting a large amount of image data containing different road conditions (such as dry, wet, cracked, potholes, etc.) to train a neural network; the first analysis feature refers to a preliminary feature set extracted from a key road image using the feature extraction model, such as the pixel value and color distribution of the image; a feature selection algorithm is set to screen out key features from the preliminary feature set, generally using a filtering method (such as variance selection method, correlation coefficient selection method); key analysis features refer to a feature set that is screened out from the first analysis features and is of higher importance for road condition analysis, including road surface flatness features, crack features, wetness features, color and texture features, etc.

[0029] In this embodiment, the preset road condition library refers to a database containing multiple road condition images and their corresponding reference image features and road condition assessment coefficients; the reference image feature refers to the corresponding feature representation of each road condition image in the preset road condition library; the feature similarity score is used to measure the similarity between two feature sets, and is calculated using the cosine similarity algorithm; the set feature similarity threshold is predetermined and is generally 0.75; the first road condition map refers to a road condition image whose similarity to the key analysis feature exceeds the set feature similarity threshold; the first road condition atlas refers to the collection of all road condition images whose similarity to the key analysis feature exceeds the set feature similarity threshold.

[0030] The beneficial effect of the above technical solution is: by utilizing advanced image processing and machine learning technologies, the road condition analysis of the road ahead of the target tire is realized, and the road condition assessment coefficient is obtained, providing data basis for subsequent tire pressure adjustment.

[0031] The embodiment of the present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving, wherein the optimal dynamic tire pressure standard range is screened from the dynamic tire pressure standard range, including: Obtaining a first tire using a dynamic tire pressure standard that falls within a current dynamic tire pressure standard range; Select tires whose key basic information is consistent with the target tire from the first tires, and mark them as reference tires, and mark the vehicles corresponding to the reference tires as reference vehicles; Acquire historical driving condition data of a corresponding reference vehicle when the reference tire is set to a dynamic tire pressure standard within a current dynamic tire pressure standard range; After preprocessing the acquired historical driving condition data, the data is input into a pre-established energy-saving evaluation model, the energy-saving performance of the current reference vehicle is analyzed, and the energy-saving performance evaluation coefficient is obtained; Marking a reference tire whose energy-saving performance evaluation coefficient exceeds a set energy-saving performance threshold as a reference tire; When there is only a single reference tire, the dynamic tire pressure standard set when the energy-saving performance evaluation coefficient of the reference tire is the highest is regarded as the reference tire pressure standard, and the corresponding reference tire is marked as a key tire; When there are multiple reference tires, the dynamic tire pressure standards set when the energy-saving performance evaluation coefficients of all reference tires are the best are summarized from large to small according to the energy-saving performance evaluation coefficients to obtain a reference tire pressure standard list; Selecting the first tire pressure standard in the reference tire pressure standard list as the key tire pressure standard output, and marking the reference tire corresponding to the key tire pressure standard as the key tire; The set adjustment parameters are obtained by analyzing the differences between the key tire and the target tire, and the key tire pressure standard is adjusted and then output as the optimal dynamic tire pressure standard range.

[0032] In this embodiment, the first tire refers to a tire whose dynamic tire pressure is set within the current dynamic tire pressure standard range, wherein the dynamic tire pressure standard range refers to a range including multiple different dynamic tire pressure values; the reference tire refers to a tire screened out from the first tire, whose key basic information is consistent with the target tire; the reference vehicle refers to a vehicle equipped with the reference tire; the historical driving condition data refers to the driving data recorded when the reference vehicle is equipped with the reference tire and set to a specific dynamic tire pressure within the current dynamic tire pressure standard range, including mileage, fuel consumption, speed change, acceleration, etc.

[0033] In this embodiment, the energy-saving evaluation model refers to a model used to evaluate the energy-saving performance of tires based on historical driving condition data. It is obtained by collecting a large number of historical driving condition data of reference vehicles under different dynamic tire pressure standards, and performing data preprocessing and extracting features that can reflect the energy-saving performance of tires (such as average fuel consumption, driving speed distribution, acceleration standard deviation, etc.); and then using the extracted features and processed data as training data to train the neural network; the energy-saving performance evaluation coefficient refers to a value output by the energy-saving evaluation model, which is used to represent the energy-saving performance of the tire under a specific dynamic tire pressure, and the value range is ; The energy-saving performance threshold is pre-set, generally 0.7; the reference tire refers to the reference tire whose energy-saving performance evaluation coefficient exceeds the set energy-saving performance threshold; the reference tire pressure standard refers to the dynamic tire pressure value set for the reference tire when the energy-saving performance evaluation coefficient is the highest; the reference tire pressure standard list is a list obtained by sorting the reference tire pressure standards of all reference tires from large to small according to the energy-saving performance evaluation coefficient; the key tire refers to the tire whose dynamic tire pressure is selected as the key tire pressure standard, that is, the tire with the best energy-saving performance; the adjustment parameters are set to adjust the key tire pressure standard.

[0034] The beneficial effect of the above technical solution is: by screening out key tire pressure standards from the dynamic tire pressure standard range and adjusting the key tire pressure standards by setting adjustment parameters to obtain a more accurate optimal dynamic tire pressure standard range, it can help to achieve precise tire pressure adjustment and thus improve the vehicle's energy-saving performance.

[0035] The embodiment of the present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving, which obtains a set adjustment parameter by analyzing the difference between a key tire and a target tire, adjusts the key tire pressure standard and then outputs it as an optimal dynamic tire pressure standard range, including: Extracting historical wear data of the current key tire and the target tire from the tire usage database in sequence, and marking them as first wear data and second wear data respectively; Using the set wear analysis index, the wear degree analysis is performed on the first wear data or the second wear data, and the actual wear coefficient of the key tire or the target tire is obtained accordingly; Based on the actual wear coefficients of the key tires and the target tires, the set adjustment parameters are calculated; The calculation formula for setting the adjustment parameters is as follows: ; In the formula, It means setting adjustment parameters; Expressed as the actual wear factor of the key tire; Expressed as the actual wear coefficient of the target tire; It is expressed as the average value of the corresponding road surface evaluation coefficients of the critical tires using the current critical tire pressure standard; It is represented as the road condition evaluation coefficient of the current target tire's driving road surface; Expressed as difference compensation coefficient; After the key tire pressure standard is adjusted using the set adjustment parameters, an optimal dynamic tire pressure standard range is obtained and output.

[0036] In this embodiment, the tire usage database refers to a database that stores a large amount of tire usage data, including the tire model, specification, production date, installed vehicle, mileage, wear and tear, maintenance records, etc.; historical wear and tear data refers to the tire wear and tear records, including the degree of tire wear, aging, number of cracks, etc.; first wear and tear data refers to the historical wear and tear data of key tires; second wear and tear data refers to the historical wear and tear data of target tires; setting wear and tear analysis indicators refers to quantitative standards for evaluating the degree of tire wear, including the depth, width and uniformity of tire wear.

[0037] In this embodiment, the actual wear coefficient is obtained by weighted average calculation of the wear index values ​​obtained by wear assessment based on historical wear data using the set wear analysis index. The calculation formula is: , where Expressed as actual loss factor; It is represented by the corresponding loss index value of the b-th set loss analysis index, where b=1, 2, 3; It is expressed as the weight assigned to the loss index value of the b-th set loss analysis index; the weight assigned to the loss index value is obtained by solving the matrix constructed after pairwise comparison and relative importance scoring of the set loss analysis indicators using the hierarchical analysis method.

[0038] In this embodiment, the set adjustment parameters are calculated based on factors such as the actual wear coefficient of the key tire and the target tire, the road surface evaluation coefficient, etc., and are used to adjust the key tire pressure standard to obtain the value of the optimal dynamic tire pressure standard range; the difference compensation coefficient refers to the value obtained by multiplying the average usage time of the key tire and the target tire by the set data error compensation value, wherein the set data error compensation value is obtained by calculating the data collection deviations of all loss data collection tools within a preset time period and then averaging them, and the loss data collection tool refers to a tool for collecting tire wear data, such as a sensor; the preset time period is a predetermined time period that can capture the stable data collection deviation of the loss data collection tool, such as one month; the optimal dynamic tire pressure standard range refers to the tire pressure range that enables the tire to achieve optimal performance after adjusting the key tire pressure standard using the set adjustment parameters.

[0039] In this embodiment, for example, the critical tire pressure standard of the target tire 1 is , the current setting adjustment parameters are , at this time the optimal dynamic tire pressure standard range is ; In the formula, e is a constant with a value of 2.7.

[0040] The beneficial effect of the above technical solution is: by analyzing the differences between the key tire and the target tire to obtain the set adjustment parameters, the key tire pressure standard is adjusted to obtain the optimal dynamic tire pressure standard range, which can help to achieve accurate tire pressure adjustment and thus improve the vehicle's energy-saving performance.

[0041] An embodiment of the present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving, which compares the first air pressure data with a real-time dynamic tire pressure standard range, and automatically adjusts the tire pressure when the tire pressure of the target tire is abnormal, including: comparing the first air pressure data with a real-time dynamic tire pressure standard range, and determining that the current target tire pressure is normal when the first air pressure data falls within the real-time dynamic tire pressure standard range; When the first air pressure data is greater than the tire pressure standard upper limit of the real-time dynamic tire pressure standard range, determining that the tire pressure of the current target tire is abnormal, and obtaining a first tire pressure difference value between the first air pressure data and the tire pressure standard upper limit and a first tire pressure adjustment direction; If the first tire pressure difference value is not greater than the set dynamic reference difference threshold, adjusting the target tire to the tire pressure standard upper limit at one time according to the first tire pressure adjustment direction; If the first tire pressure difference value is greater than the set dynamic reference difference threshold, half of the first tire pressure difference value is calculated as the first adjustment amount, and the tire pressure of the current target tire is adjusted for the first time according to the first tire pressure adjustment direction; Obtaining a first remaining difference value between the adjusted air pressure data of the target tire after the first tire pressure adjustment and the upper limit of the current tire pressure standard; The first residual gap value is divided according to a first set dynamic ratio to obtain a first fine adjustment amount, and then the tire pressure of the current target tire is adjusted multiple times by the first fine adjustment amount in combination with the first tire pressure adjustment direction until the tire pressure is adjusted to the upper limit of the tire pressure standard; When the first air pressure data is less than the lower limit of the tire pressure standard of the real-time dynamic tire pressure standard range, determining that the tire pressure of the current target tire is abnormal, and obtaining a second tire pressure difference value between the first air pressure data and the lower limit of the tire pressure standard and a second tire pressure adjustment direction; If the second tire pressure difference value is not greater than the set dynamic reference difference threshold, adjusting the target tire to the tire pressure standard lower limit at one time according to the second tire pressure adjustment direction; If the second tire pressure difference value is greater than the set dynamic reference difference threshold, half of the second tire pressure difference value is calculated as the second adjustment amount, and the tire pressure of the current target tire is adjusted for the first time according to the second tire pressure adjustment direction; Obtaining a second remaining difference value between the adjusted air pressure data of the target tire after the first tire pressure adjustment and the lower limit of the current tire pressure standard; The second residual gap value is divided according to the second set dynamic ratio to obtain a second fine adjustment amount, and then the tire pressure of the current target tire is adjusted multiple times by the second fine adjustment amount in combination with the second tire pressure adjustment direction until it is adjusted to the lower limit of the tire pressure standard.

[0042] In this embodiment, the tire pressure standard upper limit refers to the maximum tire pressure in the real-time dynamic tire pressure standard range; the tire pressure standard lower limit refers to the minimum tire pressure in the real-time dynamic tire pressure standard range; the first tire pressure difference value refers to the difference between the tire pressure of the target tire and the upper limit of the tire pressure standard when the tire pressure of the target tire (i.e., the first air pressure data) is higher than the tire pressure standard upper limit; the first tire pressure adjustment direction is to reduce the tire pressure; the setting of the dynamic reference difference threshold is pre-set, and the value is generally one-fifth of the absolute difference between the tire pressure standard upper limit and the tire pressure standard lower limit in the current real-time dynamic tire pressure standard range; the first adjustment amount is obtained by taking one-half of the first tire pressure difference value when the first tire pressure difference value is greater than the set dynamic reference difference threshold; the first residual difference value refers to the difference between the tire pressure of the target tire and the upper limit of the tire pressure standard after the first tire pressure adjustment using the first adjustment amount; the first set dynamic ratio refers to a predetermined ratio used to subdivide the first residual difference value, and the formula is expressed as ; In the formula, It is indicated as the first setting dynamic ratio; It is represented as the first residual gap value; It is expressed as setting a dynamic reference difference threshold; the first fine adjustment amount refers to the amount of each fine adjustment obtained after dividing the first residual gap value according to the first set dynamic ratio.

[0043] In this embodiment, the second tire pressure difference value refers to the difference between the tire pressure of the target tire and the lower limit of the tire pressure standard when the tire pressure of the target tire (i.e., the first air pressure data) is lower than the lower limit of the tire pressure standard; the second tire pressure adjustment direction is to increase the tire pressure; the second adjustment amount is obtained by taking half of the second tire pressure difference value when the second tire pressure difference value is greater than the set dynamic reference difference threshold; the second remaining difference value refers to the difference between the tire pressure of the target tire and the lower limit of the tire pressure standard after the first tire pressure adjustment using the second adjustment amount; the second set dynamic ratio refers to a predetermined ratio for subdividing the second remaining difference value, and the formula is expressed as follows: ; In the formula, 2 indicates the second setting dynamic ratio; Expressed as the second residual gap value; It is represented as a set dynamic benchmark difference threshold; the second fine adjustment amount refers to the amount of each fine adjustment obtained after dividing the second residual gap value according to the second set dynamic ratio.

[0044] The beneficial effect of the above technical solution is: by comparing the first air pressure data with the real-time dynamic tire pressure standard range, and automatically adjusting the tire pressure when the tire pressure of the target tire is abnormal, the tire pressure can be accurately adjusted, thereby effectively improving the energy-saving performance of the vehicle.

[0045] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent tire pressure automatic adjustment method for energy-saving driving, characterized in that: include: Step 1: Using a set monitoring tool to monitor the air pressure of a target tire in real time to obtain first air pressure data; Step 2: Determine the real-time dynamic tire pressure standard range of the current target tire based on the application scenario and actual use conditions of the target tire; Step 3: comparing the first air pressure data with a real-time dynamic tire pressure standard range, and automatically adjusting the tire pressure when the tire pressure of the target tire is abnormal; Wherein, step 2 includes: Using a preset camera installed on the front side of the target tire to shoot the road surface at a preset frequency to obtain a road surface image set; After extracting key frames from the road surface image set and processing the key frame images, a key road surface image is obtained; Analyzing the road condition of the road ahead of the target tire based on the key road surface image to obtain a road condition assessment coefficient; Using the key basic information of the current target tire and the road condition assessment coefficient as setting factors, obtain the dynamic tire pressure standard range; From the dynamic tire pressure standard range, the best dynamic tire pressure standard range is screened and obtained, and is output as the real-time dynamic tire pressure standard range of the current target tire.

2. The intelligent tire pressure automatic adjustment method for energy-saving driving according to claim 1, characterized in that: The air pressure of the target tire is monitored in real time by using a set monitoring tool to obtain first air pressure data, including: According to the basic tire information of the target tire, determine the number of tools and designated monitoring points for installing and setting monitoring tools; Establishing a tire-monitoring tool list for the target tire, wherein the tire-monitoring tool list records the tool usage status of each set monitoring tool; The set monitoring tool is installed at a designated monitoring point inside the target tire and real-time monitoring is performed to obtain first air pressure data of the target tire.

3. The intelligent tire pressure automatic adjustment method for energy-saving driving according to claim 1, characterized in that: Key basic information includes the model and load range of the vehicle to which the tire belongs, as well as the tire type and specifications.

4. The intelligent tire pressure automatic adjustment method for energy-saving driving according to claim 1, characterized in that: Based on the key road surface image, the road condition of the road ahead of the target tire is analyzed to obtain a road condition evaluation coefficient, including: Extracting features from the key road surface image using a pre-established feature extraction model to obtain a first analysis feature; Performing feature screening on the first analysis feature using a set feature selection algorithm to obtain key analysis features; Using the key analysis feature and the road surface type as matching conditions, a first road surface condition map having a feature similarity score between the reference image feature and the key analysis feature greater than a set feature similarity threshold is obtained by matching from a preset road surface condition library, and a first road surface condition map set is obtained by combining the first road surface condition map set; Obtaining a corresponding road condition evaluation coefficient for each first road condition map in the first road condition map set, and calculating a key evaluation coefficient in combination with a feature similarity score; The calculation formula of the key evaluation coefficient is as follows: ; In the formula, It is represented as the corresponding key evaluation coefficient of the current target tire; It is represented as the road condition evaluation coefficient of the i-th first road condition map in the first road condition map set corresponding to the current target tire, where i=1, 2, 3, , n; n represents the total number of first road condition maps in the first road condition map set; denoted as the feature similarity score between the key analysis features obtained from the corresponding key road surface image of the current target tire and the reference image features of the i-th first road condition image; is represented as the maximum score obtained from the feature similarity scores of the key analysis features obtained from the corresponding key road surface image of the current target tire and the reference image features of all the first road condition images; is represented as the minimum score obtained from the feature similarity scores of the key analysis features obtained from the corresponding key road surface image of the current target tire and the reference image features of all the first road condition images; represented as an average score obtained based on feature similarity scores between key analysis features obtained from the corresponding key road surface image of the current target tire and reference image features of all first road condition images; The key evaluation coefficient is used as a road condition evaluation coefficient of the road surface that the current target tire is about to travel on.

5. The intelligent tire pressure automatic adjustment method for energy-saving driving according to claim 1, characterized in that: From the dynamic tire pressure standard range, the best dynamic tire pressure standard range is screened and obtained, including: Obtaining a first tire using a dynamic tire pressure standard that falls within a current dynamic tire pressure standard range; Select tires whose key basic information is consistent with the target tire from the first tires, and mark them as reference tires, and mark the vehicles corresponding to the reference tires as reference vehicles; Acquire historical driving condition data of a corresponding reference vehicle when the reference tire is set to a dynamic tire pressure standard within a current dynamic tire pressure standard range; After preprocessing the acquired historical driving condition data, the data is input into a pre-established energy-saving evaluation model, the energy-saving performance of the current reference vehicle is analyzed, and the energy-saving performance evaluation coefficient is obtained; Marking a reference tire whose energy-saving performance evaluation coefficient exceeds a set energy-saving performance threshold as a reference tire; When there is only a single reference tire, the dynamic tire pressure standard set when the energy-saving performance evaluation coefficient of the reference tire is the highest is regarded as the reference tire pressure standard, and the corresponding reference tire is marked as a key tire; When there are multiple reference tires, the dynamic tire pressure standards set when the energy-saving performance evaluation coefficients of all reference tires are the best are summarized from large to small according to the energy-saving performance evaluation coefficients to obtain a reference tire pressure standard list; Selecting the first tire pressure standard in the reference tire pressure standard list as the key tire pressure standard output, and marking the reference tire corresponding to the key tire pressure standard as the key tire; The set adjustment parameters are obtained by analyzing the differences between the key tire and the target tire, and the key tire pressure standard is adjusted and then output as the optimal dynamic tire pressure standard range.

6. The intelligent tire pressure automatic adjustment method for energy-saving driving according to claim 5, characterized in that: By analyzing the difference between the key tire and the target tire, the set adjustment parameters are obtained, and the key tire pressure standard is adjusted and then output as the optimal dynamic tire pressure standard range, including: Extracting historical wear data of the current key tire and the target tire from the tire usage database in sequence, and marking them as first wear data and second wear data respectively; Using the set wear analysis index, the wear degree analysis is performed on the first wear data or the second wear data, and the actual wear coefficient of the key tire or the target tire is obtained accordingly; Based on the actual wear coefficients of the key tires and the target tires, the set adjustment parameters are calculated; The calculation formula for setting the adjustment parameters is as follows: ; In the formula, It means setting adjustment parameters; Expressed as the actual wear factor of the key tire; Expressed as the actual wear coefficient of the target tire; It is expressed as the average value of the corresponding road surface evaluation coefficients of the critical tires using the current critical tire pressure standard; It is represented as the road condition evaluation coefficient of the current target tire's driving road surface; Expressed as difference compensation coefficient; After the key tire pressure standard is adjusted using the set adjustment parameters, an optimal dynamic tire pressure standard range is obtained and output.

7. The intelligent tire pressure automatic adjustment method for energy-saving driving according to claim 1, characterized in that: The first air pressure data is compared with a real-time dynamic tire pressure standard range, and when the tire pressure of the target tire is abnormal, the tire pressure is automatically adjusted, including: comparing the first air pressure data with a real-time dynamic tire pressure standard range, and determining that the current target tire pressure is normal when the first air pressure data falls within the real-time dynamic tire pressure standard range; When the first air pressure data is greater than the tire pressure standard upper limit of the real-time dynamic tire pressure standard range, determining that the tire pressure of the current target tire is abnormal, and obtaining a first tire pressure difference value between the first air pressure data and the tire pressure standard upper limit and a first tire pressure adjustment direction; If the first tire pressure difference value is not greater than the set dynamic reference difference threshold, adjusting the target tire to the tire pressure standard upper limit at one time according to the first tire pressure adjustment direction; If the first tire pressure difference value is greater than the set dynamic reference difference threshold, half of the first tire pressure difference value is calculated as the first adjustment amount, and the tire pressure of the current target tire is adjusted for the first time according to the first tire pressure adjustment direction; Obtaining a first remaining difference value between the adjusted air pressure data of the target tire after the first tire pressure adjustment and the upper limit of the current tire pressure standard; The first residual gap value is divided according to a first set dynamic ratio to obtain a first fine adjustment amount, and then the tire pressure of the current target tire is adjusted multiple times by the first fine adjustment amount in combination with the first tire pressure adjustment direction until the tire pressure is adjusted to the upper limit of the tire pressure standard; When the first air pressure data is less than the lower limit of the tire pressure standard of the real-time dynamic tire pressure standard range, determining that the tire pressure of the current target tire is abnormal, and obtaining a second tire pressure difference value between the first air pressure data and the lower limit of the tire pressure standard and a second tire pressure adjustment direction; If the second tire pressure difference value is not greater than the set dynamic reference difference threshold, adjusting the target tire to the tire pressure standard lower limit at one time according to the second tire pressure adjustment direction; If the second tire pressure difference value is greater than the set dynamic reference difference threshold, half of the second tire pressure difference value is calculated as the second adjustment amount, and the tire pressure of the current target tire is adjusted for the first time according to the second tire pressure adjustment direction; Obtaining a second remaining difference value between the adjusted air pressure data of the target tire after the first tire pressure adjustment and the lower limit of the current tire pressure standard; The second residual gap value is divided according to the second set dynamic ratio to obtain a second fine adjustment amount, and then the tire pressure of the current target tire is adjusted multiple times by the second fine adjustment amount in combination with the second tire pressure adjustment direction until it is adjusted to the lower limit of the tire pressure standard.

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