An intelligent automatic tire pressure adjustment method for energy-saving driving

Abstract

The present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving, which relates to the technical field of data processing. The method includes using a set monitoring tool to continuously monitor the air pressure of a target tire to obtain first air pressure data; determining the dynamic tire pressure standard of the current target tire according to the application scenario and real-time operating conditions of the target tire; comparing the first air pressure data with the dynamic tire standard, and automatically adjusting the tire pressure when the tire pressure of the target tire is abnormal. By using a set monitoring tool to continuously monitor the air pressure of a target tire to obtain first air pressure data; determining the dynamic tire pressure standard of the current target tire according to the application scenario and real-time operating conditions of the target tire; comparing the first air pressure data with the dynamic tire standard, and automatically adjusting the tire pressure when the tire pressure of the target tire is abnormal, accurate and intelligent adjustment of the tire pressure can be achieved, which helps to realize energy-saving driving.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly relates to an intelligent tire pressure automatic 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 the friction between the tire and the ground, lower fuel consumption, and also contribute to improving driving stability and safety. However, the traditional tire pressure adjustment method requires manual operation by the driver, which is not only cumbersome but also difficult to ensure the accuracy and stability of the air pressure. Therefore, how to intelligently adjust the tire pressure to contribute to 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 tire pressure automatic adjustment method for energy-saving driving, which is used to obtain first air pressure data by using a set monitoring tool to monitor the air pressure of the target tire in real time; determine the dynamic tire pressure standard of the current target tire according to the application scenario and real-time working conditions 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 achieve accurate and intelligent adjustment of the tire pressure, and further contribute to energy-saving driving.

[0005] The present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving, including:

[0006] Step 1: Use a set monitoring tool to monitor the air pressure of the target tire in real time to obtain first air pressure data;

[0007] Step 2: Combine the application scenario and actual working conditions of the target tire to determine the real-time dynamic tire pressure standard range of the current target tire;

[0008] 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;

[0009] Among them, Step 2 includes:

[0010] Use a set camera installed in front of the target tire to take road surface pictures at a preset frequency to obtain a set of road surface images;

[0011] After extracting key frames from the set of road surface images and processing the key frames of the road surface images, obtain key road surface images;

[0012] Analyze the road conditions of the road ahead of the target tire based on the key road surface image to obtain a road condition evaluation coefficient;

[0013] Take the key basic information of the current target tire and the road condition evaluation coefficient as setting factors to obtain a dynamic tire pressure standard range;

[0014] Screen from the dynamic tire pressure standard range to obtain the optimal dynamic tire pressure standard range and output it as the real-time dynamic tire pressure standard range of the current target tire.

[0015] Preferably, use a set monitoring tool to monitor the air pressure of the target tire in real time to obtain the first air pressure data, including:

[0016] Determine the number of tools and designated monitoring points for installing the set monitoring tool according to the basic tire information of the target tire;

[0017] Establish a tire - monitoring tool list for the target tire, and the tire - monitoring tool list records the tool usage status of each set monitoring tool;

[0018] Install the set monitoring tool at the designated monitoring point inside the target tire and conduct real-time monitoring to obtain the first air pressure data of the target tire.

[0019] Preferably, the key basic information includes the vehicle model and load range of the vehicle to which the tire belongs, as well as the tire type and specifications.

[0020] Preferably, based on the key road surface image, analyze the road conditions of the road ahead of the target tire to obtain a road condition evaluation coefficient, including:

[0021] Use a pre-established feature extraction model to extract features from the key road surface image to obtain the first analysis feature;

[0022] Perform feature screening on the first analysis feature using a set feature selection algorithm to obtain key analysis features;

[0023] Take the key analysis feature and the road surface type as matching conditions, and match from the pre-set road condition library to obtain the first road condition map with the feature similarity score between the reference image feature and the key analysis feature greater than the set feature similarity threshold, and collect them to obtain the first road condition map set;

[0024] Obtain the corresponding road condition evaluation coefficient of each first road condition map in the first road condition map set, and combine the feature similarity score to calculate the key evaluation coefficient;

[0025] Among them, the calculation formula of the key evaluation coefficient is as follows:

[0026] ; In the formula, is represented as the corresponding key evaluation coefficient of the current target tire; is represented as the road condition evaluation coefficient of the i-th first road condition map in the corresponding first road condition atlas of the current target tire, where i = 1, 2, 3, , n; n represents the total number of the first road condition maps in the first road condition atlas; is represented 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 map; is represented as the maximum score obtained from the feature similarity scores between 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 maps; is represented as the minimum score obtained from the feature similarity scores between 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 maps; is represented as the average score obtained according to the feature similarity scores between 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 maps;

[0027] Take the key evaluation coefficient as the road condition evaluation coefficient of the road surface that the current target tire is about to drive on ahead.

[0028] Preferably, from the dynamic tire pressure standard range, a best dynamic tire pressure standard range is screened out, including:

[0029] Obtain the first tire using the dynamic tire pressure standard belonging to the current dynamic tire pressure standard range;

[0030] Screen out the tires with the same key basic information as the target tire from the first tires, and label them as reference tires, and the vehicles corresponding to the reference tires are labeled as reference vehicles;

[0031] Obtain the historical driving condition data of the corresponding reference vehicle when the reference tire is set to the dynamic tire pressure standard belonging to the current dynamic tire pressure standard range;

[0032] After preprocessing the obtained historical driving condition data, input it into a pre-established energy-saving evaluation model to analyze the energy-saving performance of the current reference vehicle, and obtain an energy-saving performance evaluation coefficient;

[0033] Mark the reference tires whose energy-saving performance evaluation coefficients exceed the set energy-saving performance threshold as benchmark tires;

[0034] When there is only a single benchmark tire, regard the dynamic tire pressure standard set when the energy-saving performance evaluation coefficient of the benchmark tire is the highest as the reference tire pressure standard, and mark the corresponding benchmark tire as the key tire;

[0035] When there are multiple reference tires, the dynamic tire pressure standards set when the energy-saving performance evaluation coefficients of all reference tires are at their best are summarized in descending order of the energy-saving performance evaluation coefficients to obtain a list of reference tire pressure standards;

[0036] Select the first tire pressure standard in the list of reference tire pressure standards as the key tire pressure standard for output, and mark the reference tire corresponding to the key tire pressure standard as the key tire;

[0037] By analyzing the differences between the key tire and the target tire, set adjustment parameters are obtained. After adjusting the key tire pressure standard, it is used as the optimal dynamic tire pressure standard range and output.

[0038] Preferably, by analyzing the differences between the key tire and the target tire, set adjustment parameters are obtained. After adjusting the key tire pressure standard, it is used as the optimal dynamic tire pressure standard range and output, including:

[0039] Sequentially extract the historical wear data of the current key tire and the target tire from the tire usage database, and mark them as the first wear data and the second wear data respectively;

[0040] Using the set wear analysis index, analyze the degree of wear of the obtained first wear data or second wear data, and correspondingly obtain the actual wear coefficient of the key tire or the target tire;

[0041] Based on the actual wear coefficients of the key tire and the target tire, calculate the set adjustment parameters;

[0042] Among them, the calculation formula of the set adjustment parameter is as follows:

[0043] ; In the formula, represents the set adjustment parameter; represents the actual wear coefficient of the key tire; represents the actual wear coefficient of the target tire; represents the average value of the corresponding road surface evaluation coefficients of the key tire using the current key tire pressure standard; represents the road condition evaluation coefficient of the driving road surface of the current target tire; represents the difference compensation coefficient;

[0044] After adjusting the key tire pressure standard with the set adjustment parameter, obtain the optimal dynamic tire pressure standard range and output.

[0045] Preferably, compare the first air pressure data with the real-time dynamic tire pressure standard range, and when the tire pressure of the target tire is abnormal, automatically adjust the tire pressure, including:

[0046] Compare the first air pressure data with the real-time dynamic tire pressure standard range. When the first air pressure data belongs to the real-time dynamic tire pressure standard range, it is determined that the tire pressure of the current target tire is normal;

[0047] When the first air pressure data is greater than the upper limit of the tire pressure standard in the real-time dynamic tire pressure standard range, it is determined that the tire pressure of the current target tire is abnormal, and obtain the first tire pressure difference value between the first air pressure data and the upper limit of the tire pressure standard, as well as the first tire pressure adjustment direction;

[0048] If the first tire pressure difference value is not greater than the set dynamic reference difference threshold, adjust the target tire to the upper limit of the tire pressure standard at one time according to the first tire pressure adjustment direction;

[0049] If the first tire pressure difference value is greater than the set dynamic reference difference threshold, calculate half of the first tire pressure difference value as the first adjustment amount, and perform the first tire pressure adjustment on the current target tire according to the first tire pressure adjustment direction;

[0050] Obtain the first remaining difference value between the adjusted air pressure data of the target tire after the first tire pressure adjustment and the current upper limit of the tire pressure standard;

[0051] After dividing the first remaining difference value according to the first set dynamic ratio, obtain the first fine adjustment amount, and then perform multiple tire pressure adjustments with the adjustment amount of the first fine adjustment amount on the current target tire in combination with the first tire pressure adjustment direction until it is adjusted to the upper limit of the tire pressure standard;

[0052] When the first air pressure data is less than the lower limit of the tire pressure standard in the real-time dynamic tire pressure standard range, it is determined that the tire pressure of the current target tire is abnormal, and obtain the second tire pressure difference value between the first air pressure data and the lower limit of the tire pressure standard, as well as the second tire pressure adjustment direction;

[0053] If the second tire pressure difference value is not greater than the set dynamic reference difference threshold, adjust the target tire to the lower limit of the tire pressure standard at one time according to the second tire pressure adjustment direction;

[0054] If the second tire pressure difference value is greater than the set dynamic reference difference threshold, calculate half of the second tire pressure difference value as the second adjustment amount, and perform the first tire pressure adjustment on the current target tire according to the second tire pressure adjustment direction;

[0055] Obtain the second remaining difference value between the adjusted air pressure data of the target tire after the first tire pressure adjustment and the current lower limit of the tire pressure standard;

[0056] After dividing the second remaining difference value according to the second set dynamic ratio, obtain the second fine adjustment amount, and then perform multiple tire pressure adjustments with the adjustment amount of the second fine adjustment amount on the current target tire in combination with the second tire pressure adjustment direction until it is adjusted to the lower limit of the tire pressure standard.

[0057] Compared with the prior art, the beneficial effects of the present application are as follows:

[0058] 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 when the tire pressure of the target tire is abnormal, the tire pressure is automatically adjusted, so as to realize accurate and intelligent adjustment of the tire pressure, which helps to achieve energy-saving driving.

[0059] Other features and advantages of the present invention will be described in the following specification, and part of them will become obvious from the specification, or be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained by the structure specifically pointed out in the written specification and the drawings.

[0060] The technical solution of the present invention will be further described in detail below through the drawings and embodiments. Description of the Drawings

[0061] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention, and do not constitute a limitation to the present invention. In the drawings:

[0062] Figure 1 It is a flowchart of an intelligent tire pressure automatic adjustment method for energy-saving driving in an embodiment of the present invention. Detailed Embodiments

[0063] The following describes the preferred embodiments of the present invention with reference to the 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.

[0064] An embodiment of the present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving, as Figure 1 shown, including:

[0065] Step 1: Use a set monitoring tool to monitor the air pressure of the target tire in real time to obtain the first air pressure data;

[0066] Step 2: Combine the application scenario and actual usage conditions of the target tire to determine the real-time dynamic tire pressure standard range of the current target tire;

[0067] Step 3: Compare the first air pressure data with the real-time dynamic tire pressure standard range, and when the tire pressure of the target tire is abnormal, automatically adjust the tire pressure.

[0068] 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 an in-built tire pressure monitoring sensor; the first air pressure data refers to the air pressure value of the target tire real-time monitored by the set monitoring tool; the application scenario refers to the road surface environmental conditions under which the target tire is used; the actual usage conditions refer to the historical usage data of the target tire (such as historical usage time, historical usage duration) and historical maintenance data (such as historical maintenance times, historical maintenance content); the real-time dynamic tire pressure standard range refers to the tire pressure range determined by considering the application scenario and actual usage conditions of the target tire.

[0069] The beneficial effects of the above technical solution are as follows: By using the set monitoring tool to real-time monitor the air pressure of the target tire, 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 when the tire pressure of the target tire is abnormal, the tire pressure is automatically adjusted, so as to achieve accurate and intelligent adjustment of the tire pressure, and thus contribute to achieving energy-saving driving.

[0070] An embodiment of the present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving. By using a set monitoring tool to real-time monitor the air pressure of a target tire to obtain first air pressure data, it includes:

[0071] According to the basic tire information of the target tire, determine the number of tools for installing the set monitoring tool and the specified monitoring points;

[0072] Establish a tire-monitoring tool list for the target tire, and the tire-monitoring tool list records the tool usage status of each set monitoring tool;

[0073] Install the set monitoring tool at the specified monitoring point inside the target tire and conduct real-time monitoring to obtain the first air pressure data of the target tire.

[0074] In this embodiment, the basic information of the tire includes the vehicle model and load range of the vehicle to which the tire belongs, as well as the tire type (such as radial tire, bias tire, tubeless tire) and specifications (including size, tire width, aspect ratio, etc.); the set monitoring tool refers to a device for real-time monitoring of the air pressure of the target tire, such as an in-built tire pressure monitoring sensor; the number of tools refers to the number of monitoring tools to be installed to achieve real-time monitoring of the tire air pressure, which is determined from a predetermined monitoring tool - number table based on the size of the tire as a matching condition, and the predetermined monitoring tool - number table is a list composed of the tire size range and the corresponding number of tool installations; the designated monitoring point refers to the specific position where the monitoring tool is installed inside the tire set in advance; the tire - monitoring tool list refers to a list for recording the relationship between each tire and its corresponding monitoring tool, as well as the tool usage status of the set monitoring tool, where the tool usage status includes but is not limited to installation date, working status, maintenance history, etc.; the first air pressure data is the air pressure data obtained by real-time monitoring through the designated monitoring tool installed inside the target tire.

[0075] The beneficial effect of the above technical solution is that by using the set monitoring tool to real-time monitor the air pressure of the target tire, the obtained first air pressure data can provide an effective data basis for subsequent automatic adjustment of the tire air pressure.

[0076] The embodiment of the present invention provides an intelligent tire air pressure automatic adjustment method for energy-saving driving. Combining the application scenario and actual use conditions of the target tire, the real-time dynamic tire pressure standard range of the current target tire is determined, including:

[0077] Using the set camera installed in front of the target tire to take road surface pictures at a preset frequency to obtain a set of road surface images;

[0078] After key frame extraction and image processing of the key frames of the set of road surface images, a key road surface image is obtained;

[0079] Based on the key road surface image, analyze the road conditions of the road surface in front of the target tire to obtain a road condition evaluation coefficient;

[0080] Taking the key basic information of the current target tire and the road condition evaluation coefficient as setting factors, obtain the dynamic tire pressure standard range;

[0081] From the dynamic tire pressure standard range, screen out the best dynamic tire pressure standard range and output it as the real-time dynamic tire pressure standard range of the current target tire.

[0082] In this embodiment, the set camera refers to a high-definition camera installed on the front side of the target tire for capturing the road conditions ahead of the tire; the preset frequency refers to the time interval preset for the camera to capture the road surface; the road surface image set refers to the collection of images obtained by using the set camera to capture the road surface in front of the target tire at the preset frequency; the key road surface image is obtained by performing key frame extraction on the road surface image set and then performing image processing on the extracted key frames. Among them, the key frame refers to an image frame selected from the road surface image set with a frame clarity greater than the set clarity threshold. The frame clarity is obtained by weighted averaging the evaluation values obtained by evaluating using clarity metrics. The clarity metrics include the mean gradient, gradient variance, and Laplacian variance, which are determined by calculating the gradient magnitudes of each pixel point after calculating the gradients of the image in the horizontal and vertical directions using an image gradient operator and then based on the gradient magnitudes of the entire image. The weights assigned to the evaluation values after evaluating the clarity metrics are obtained by solving the matrix constructed by pairwise comparison and relative importance scoring using the analytic hierarchy process; the set clarity threshold is predetermined, generally 0.7.

[0083] In this embodiment, image processing refers to image enhancement and denoising processing; the road condition evaluation coefficient refers to a quantitative index obtained by analyzing the road conditions of the road ahead of the target tire based on the key road surface image; the dynamic tire pressure standard range refers to the tire pressure range determined according to the key basic information of the current target tire and the road condition evaluation coefficient; the optimal dynamic tire pressure standard range refers to the optimal standard range selected 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 for the current target tire to use.

[0084] The beneficial effects of the above technical solution are: by analyzing the clarity of the images in the road surface image set to screen key frames, and obtaining key road surface images after processing the key frames; analyzing the road conditions of the road ahead of the target tire based on the key road surface image to obtain a road condition evaluation coefficient, and then effectively determining the real-time dynamic tire pressure standard range.

[0085] The embodiment of the present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving. Based on the key road surface image, analyze the road conditions of the road ahead of the target tire to obtain a road condition evaluation coefficient, including:

[0086] Extract features from the key road surface image using a pre-established feature extraction model to obtain a first analysis feature;

[0087] Perform feature screening on the first analysis feature using a set feature selection algorithm to obtain a key analysis feature;

[0088] Taking the key analysis features and the road surface type as matching conditions, a first road condition map with a feature similarity score between the reference image features and the key analysis features greater than a set feature similarity threshold is matched from a preset road condition library, and a first road condition map set is obtained by aggregation;

[0089] Obtain the corresponding road condition evaluation coefficient of each first road condition map in the first road condition map set, and calculate the key evaluation coefficient in combination with the feature similarity score;

[0090] Among them, the calculation formula of the key evaluation coefficient is as follows:

[0091] ; In the formula, represents the corresponding key evaluation coefficient of the current target tire; represents the road condition evaluation coefficient of the i-th first road condition map in the corresponding first road condition map set of 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; represents 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 map; represents the maximum score obtained from the feature similarity scores between the key analysis features obtained from the corresponding key road surface image of the current target tire and the reference image features of all first road condition maps; represents the minimum score obtained from the feature similarity scores between the key analysis features obtained from the corresponding key road surface image of the current target tire and the reference image features of all first road condition maps; represents the average score obtained according to the feature similarity scores between the key analysis features obtained from the corresponding key road surface image of the current target tire and the reference image features of all first road condition maps;

[0092] Taking the key evaluation coefficient as the road condition evaluation coefficient of the road surface that the current target tire is about to drive on ahead.

[0093] In this embodiment, the feature extraction model refers to a model for extracting features from images, which is obtained by training a neural network with a large amount of image data containing different road surface conditions (such as dry, slippery, cracked, pitted, etc.); the first analysis features refer to a set of preliminary features extracted from the key road surface images using the feature extraction model, such as the pixel values and color distributions of the images; a feature selection algorithm is set to screen out key features from the set of preliminary features, and generally a filtering method (such as variance selection method, correlation coefficient selection method) is adopted; the key analysis features refer to a set of features with higher importance for road condition analysis selected from the first analysis features, including road surface flatness features, crack features, slipperiness degree features, and color and texture features, etc.

[0094] In this embodiment, the pre-set road condition library refers to a database containing multiple road surface condition images and their corresponding reference image features and road condition evaluation coefficients; the reference image features refer to the corresponding feature representations of each road surface condition image in the pre-set road condition library; the feature similarity score is used to measure the similarity degree between two feature sets and is calculated using the cosine similarity algorithm; the set feature similarity threshold is determined in advance, generally 0.75; the first road surface condition image refers to a road surface condition image whose similarity degree with the key analysis features exceeds the set feature similarity threshold; the first road surface condition image set refers to the set of all road surface condition images whose similarity degree with the key analysis features exceeds the set feature similarity threshold.

[0095] The beneficial effects of the above technical solution are: By using advanced image processing and machine learning technologies, the road condition analysis of the road surface in front of the target tire is realized, and the road condition evaluation coefficient is obtained, providing a data basis for subsequent tire pressure adjustment.

[0096] The embodiment of the present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving, and screens out the optimal dynamic tire pressure standard range from the dynamic tire pressure standard range, including:

[0097] Obtain a first tire using a dynamic tire pressure standard belonging to the current dynamic tire pressure standard range;

[0098] Screen out the tires from the first tires whose key basic information is the same as that of the target tire, and label them as reference tires, and the vehicles corresponding to the reference tires are labeled as reference vehicles;

[0099] Obtain the historical driving condition data of the corresponding reference vehicle when the reference tire is set to a dynamic tire pressure standard belonging to the current dynamic tire pressure standard range;

[0100] After preprocessing the obtained historical driving condition data, input it into a pre-established energy-saving evaluation model to analyze the energy-saving performance of the current reference vehicle and obtain an energy-saving performance evaluation coefficient;

[0101] Mark the reference tires whose energy-saving performance evaluation coefficients exceed the set energy-saving performance threshold as benchmark tires;

[0102] When there is only a single benchmark tire, regard the dynamic tire pressure standard set when the energy-saving performance evaluation coefficient of the benchmark tire is the highest as the reference tire pressure standard, and mark the corresponding benchmark tire as the key tire;

[0103] When there are multiple benchmark tires, summarize the dynamic tire pressure standards set when the energy-saving performance evaluation coefficients of all benchmark tires are the best in descending order of the energy-saving performance evaluation coefficients to obtain a list of reference tire pressure standards;

[0104] Select the first tire pressure standard in the list of reference tire pressure standards as the key tire pressure standard for output, and mark the benchmark tire corresponding to the key tire pressure standard as the key tire;

[0105] Obtain the set adjustment parameters by analyzing the differences between the key tire and the target tire, adjust the key tire pressure standard, and then output it as the optimal dynamic tire pressure standard range.

[0106] In this embodiment, the first tire refers to a tire whose dynamic tire pressure is set within the current dynamic tire pressure standard range, where the dynamic tire pressure standard range refers to a range containing multiple different dynamic tire pressure values; the reference tire refers to a tire selected from the first tires and having the same key basic information as 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 driving mileage, fuel consumption, speed change, acceleration, etc.

[0107] 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 amount of historical driving condition data of reference vehicles under different dynamic tire pressure standards, 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.); then using the extracted features and processed data as training data to train a neural network; the energy-saving performance evaluation coefficient refers to a value output by the energy-saving evaluation model and is used to represent the energy-saving performance of a tire under a specific dynamic tire pressure, and the value range is ; The set energy-saving performance threshold is pre-set, generally 0.7; the reference tire refers to a 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 when the energy-saving performance evaluation coefficient of the reference tire is the highest; the reference tire pressure standard list is a list obtained by sorting the reference tire pressure standards of all reference tires in descending order of the energy-saving performance evaluation coefficient; the key tire refers to a tire whose dynamic tire pressure is selected as the key tire pressure standard, that is, a tire with the best energy-saving performance; the set adjustment parameter is used to adjust the key tire pressure standard.

[0108] The beneficial effects of the above technical solution are: by screening out the key tire pressure standards from the dynamic tire pressure standard range and using the set adjustment parameter to adjust the key tire pressure standards to obtain a more accurate optimal dynamic tire pressure standard range, it can help to achieve precise tire pressure adjustment, thereby improving the energy-saving performance of the vehicle.

[0109] The embodiment of the present invention provides an intelligent tire pressure automatic adjustment method for energy-saving driving. By analyzing the differences between the key tire and the target tire to obtain the set adjustment parameter, after adjusting the key tire pressure standard, it is used as the optimal dynamic tire pressure standard range and output, including:

[0110] Sequentially extract the historical wear data of the current key tire and the target tire from the tire usage database, and mark them as the first wear data and the second wear data respectively;

[0111] Using the set wear analysis index, analyze the wear degree of the obtained first wear data or second wear data, and correspondingly obtain the actual wear coefficient of the key tire or the target tire;

[0112] Based on the actual wear coefficients of the key tire and the target tire, calculate the set adjustment parameter;

[0113] Among them, the calculation formula of the set adjustment parameter is as follows:

[0114] ; In the formula, represents the set adjustment parameter; represents the actual wear coefficient of the key tire; represents the actual wear coefficient of the target tire; represents the average value of the corresponding road surface evaluation coefficients of the key tire using the current key tire pressure standard; represents the road condition evaluation coefficient of the driving road surface of the current target tire; represents the difference compensation coefficient;

[0115] After adjusting the key tire pressure standard with the set adjustment parameter, obtain the optimal dynamic tire pressure standard range and output.

[0116] In this embodiment, the tire usage database refers to a database that stores a large amount of tire usage data, including tire models, specifications, production dates, installed vehicles, mileage, wear conditions, repair records, etc.; historical wear data refers to the wear records of tires, including the degree of tire wear, aging conditions, number of cracks, etc.; the first wear data refers to the historical wear data of key tires; the second wear data refers to the historical wear data of target tires; the set wear analysis index refers to a quantitative standard used to evaluate the degree of tire wear, including the depth, width, and uniformity of tire wear.

[0117] In this embodiment, the actual wear coefficient is obtained by calculating the weighted average of the wear index values obtained by evaluating tire wear based on the set wear analysis index and historical wear data. The calculation formula is , where represents the actual wear coefficient; represents the corresponding wear index value of the b-th set wear analysis index, where b = 1, 2, 3; represents the weight assigned to the wear index value of the b-th set wear analysis index; the weight assigned to the wear index value is obtained by solving the matrix constructed by pairwise comparison and relative importance scoring of the set wear analysis index using the analytic hierarchy process.

[0118] In this embodiment, the set adjustment parameter is calculated based on factors such as the actual wear coefficients of key tires and target tires, and the road surface evaluation coefficient, etc., and is a value used to adjust the key tire pressure standard to obtain the optimal dynamic tire pressure standard range; the difference compensation coefficient is obtained by multiplying the average service life of key tires and target tires by the set data error compensation value in advance, where the set data error compensation value is obtained by calculating the data collection deviation of all wear data collection tools within a preset time period and then averaging, and the wear data collection tool refers to a tool used to collect tire wear data, such as a sensor; the preset time period is a pre-determined time period that can capture the stable data collection deviation of the wear data collection tool, such as one month; the optimal dynamic tire pressure standard range refers to the tire pressure range that can make the tire reach the best performance after adjusting the key tire pressure standard using the set adjustment parameter.

[0119] In this embodiment, for example, there is a key tire pressure standard for target tire 1 of , and the current set adjustment parameter is , and at this time the optimal dynamic tire pressure standard range is ; where e represents a constant, and its value is 2.7.

[0120] The beneficial effects of the above technical solution are as follows: By analyzing the differences between the key tire and the target tire, set adjustment parameters are obtained, and the key tire pressure standard is adjusted to obtain the optimal dynamic tire pressure standard range, which can help achieve precise tire pressure adjustment, thereby improving the energy-saving performance of the vehicle.

[0121] 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 the real-time dynamic tire pressure standard range, and automatically adjusts the tire pressure when the tire pressure of the target tire is abnormal, including:

[0122] Compare the first air pressure data with the real-time dynamic tire pressure standard range. When the first air pressure data belongs to the real-time dynamic tire pressure standard range, it is determined that the current target tire pressure is normal;

[0123] When the first air pressure data is greater than the upper limit of the tire pressure standard in the real-time dynamic tire pressure standard range, it is determined that the current target tire pressure is abnormal, and the first tire pressure difference value between the first air pressure data and the upper limit of the tire pressure standard and the first tire pressure adjustment direction are obtained;

[0124] If the first tire pressure difference value is not greater than the set dynamic reference difference threshold, the target tire is adjusted to the upper limit of the tire pressure standard at one time according to the first tire pressure adjustment direction;

[0125] 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 first tire pressure adjustment is performed on the current target tire according to the first tire pressure adjustment direction;

[0126] Obtain the first remaining difference value between the adjusted air pressure data of the target tire after the first tire pressure adjustment and the current upper limit of the tire pressure standard;

[0127] After dividing the first remaining difference value according to the first set dynamic ratio, the first fine adjustment amount is obtained, and then the tire pressure adjustment with the first fine adjustment amount is performed on the current target tire multiple times in combination with the first tire pressure adjustment direction until it is adjusted to the upper limit of the tire pressure standard;

[0128] When the first air pressure data is less than the lower limit of the tire pressure standard in the real-time dynamic tire pressure standard range, it is determined that the current target tire pressure is abnormal, and the second tire pressure difference value between the first air pressure data and the lower limit of the tire pressure standard and the second tire pressure adjustment direction are obtained;

[0129] If the second tire pressure difference value is not greater than the set dynamic reference difference threshold, the target tire is adjusted to the lower limit of the tire pressure standard at one time according to the second tire pressure adjustment direction;

[0130] If the second tire pressure difference value is greater than the set dynamic reference difference threshold, calculate half of the second tire pressure difference value as the second adjustment amount, and perform the first tire pressure adjustment on the current target tire in accordance with the second tire pressure adjustment direction;

[0131] Obtain the second remaining difference value between the adjusted air pressure data of the target tire after the first tire pressure adjustment and the current lower limit of the tire pressure standard;

[0132] After dividing the second remaining difference value according to the second set dynamic ratio, obtain the second fine adjustment amount, and then combine the second tire pressure adjustment direction to perform multiple tire pressure adjustments with the second fine adjustment amount on the current target tire until it is adjusted to the lower limit of the tire pressure standard.

[0133] In this embodiment, the upper limit of the tire pressure standard refers to the maximum tire pressure in the real-time dynamic tire pressure standard range; the lower limit of the tire pressure standard 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 (i.e., the first air pressure data) and the upper limit of the tire pressure standard when the tire pressure of the target tire is higher than the upper limit of the tire pressure standard; the first tire pressure adjustment direction is to decrease the tire pressure; the set dynamic reference difference threshold is preset, and generally takes one-fifth of the absolute difference between the upper limit and the lower limit of the tire pressure standard in the current real-time dynamic tire pressure standard range; the first adjustment amount is obtained by taking 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 remaining 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 the pre-determined ratio for subdividing the first remaining difference value, and the formula is expressed as ; in the formula, represents the first set dynamic ratio; represents the first remaining difference value; represents the set dynamic reference difference threshold; the first fine adjustment amount refers to the amount of each fine adjustment obtained by dividing the first remaining difference value according to the first set dynamic ratio.

[0134] In this embodiment, the second tire pressure difference value refers to the difference between the tire pressure of the target tire (i.e., the first air pressure data) and the lower limit of the tire pressure standard when the tire pressure of the target tire 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 the pre-determined ratio for subdividing the second remaining difference value, and the formula is expressed as ; in the formula, 2 represents the second set dynamic ratio; It is expressed as the second remaining gap value; It is expressed as the set dynamic reference difference threshold; the second fine adjustment amount refers to the amount of each fine adjustment obtained by dividing the second remaining gap value according to the second set dynamic ratio.

[0135] The beneficial effects of the above technical solution are: 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 precise adjustment of the tire pressure can be realized, thereby effectively improving the energy-saving performance of the vehicle.

[0136] 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 equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. An intelligent automatic tire pressure adjustment method for energy-saving driving, characterized in that, Including: Step 1: Use a set monitoring tool to monitor the air pressure of the target tire in real time to obtain the first air pressure data; Step 2: Combine the application scenario and actual usage conditions of the target tire to determine the real-time dynamic tire pressure standard range of the current 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; Among them, Step 2 includes: Obtain key analysis features based on the key road surface image; Use the key analysis features and road surface type as matching conditions to match from the pre-set road surface condition library to obtain the first road surface condition map with the feature similarity score between the reference image feature and the key analysis feature greater than the set feature similarity threshold, and collect them to obtain the first road surface condition map set; Obtain the corresponding road condition evaluation coefficient of each first road surface condition map in the first road surface condition map set, and calculate the key evaluation coefficient in combination with the feature similarity score; ； In the formula, represents the corresponding key evaluation coefficient of the current target tire; represents the road condition evaluation coefficient of the i-th first road condition map in the corresponding first road condition atlas of the current target tire, where i = 1, 2, 3, , n; n represents the total number of the first road condition maps in the first road condition atlas; represents the feature similarity score between the key analysis feature obtained from the corresponding key road surface image of the current target tire and the reference image feature of the i-th first road condition map; represents the maximum score obtained from the feature similarity scores between the key analysis feature obtained from the corresponding key road surface image of the current target tire and the reference image features of all the first road condition maps; represents the minimum score obtained from the feature similarity scores between the key analysis feature obtained from the corresponding key road surface image of the current target tire and the reference image features of all the first road condition maps; represents the average score obtained according to the feature similarity scores between the key analysis feature obtained from the corresponding key road surface image of the current target tire and the reference image features of all the first road condition maps; Use the key evaluation coefficient as the road condition evaluation coefficient of the road surface that the current target tire is about to drive on ahead.

2. The intelligent tire pressure automatic adjustment method for energy-saving driving according to claim 1, wherein Step 2 also includes: Use a set camera installed on the front side of the target tire to take road surface pictures at a preset frequency to obtain a road surface image set; Extract key frames from the road surface image set and process the key frames of the road surface images to obtain key road surface images; Use a pre-established feature extraction model to extract features from the key road surface images to obtain the first analysis features; Use a set feature selection algorithm to screen the first analysis features to obtain key analysis features; Use the key basic information of the current target tire and the road condition evaluation coefficient as setting factors to obtain the dynamic tire pressure standard range; Screen from the dynamic tire pressure standard range to obtain the best dynamic tire pressure standard range, and output it as the real-time dynamic tire pressure standard range of the current target tire.

3. An intelligent tire pressure automatic adjustment method for energy-saving driving according to claim 1, characterized in that, Using a set monitoring tool to monitor the air pressure of the target tire in real time to obtain the first air pressure data, including: According to the basic tire information of the target tire, determine the number of tools for installing the set monitoring tool and the designated monitoring points; Establish a tire-monitoring tool list for the target tire, and the tire-monitoring tool list records the tool usage status of each set monitoring tool; Install the set monitoring tool into the designated monitoring points inside the target tire and conduct real-time monitoring to obtain the first air pressure data of the target tire.

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

5. The automatic intelligent tire pressure regulation method for energy-saving driving according to claim 2, characterized in that Screen from the dynamic tire pressure standard range to obtain the best dynamic tire pressure standard range, including: Obtain the first tire using the dynamic tire pressure standard belonging to the current dynamic tire pressure standard range; Screen out the tires with the same key basic information as the target tire from the first tires, and label them as reference tires, and the vehicles corresponding to the reference tires are labeled as reference vehicles; Obtain the historical driving condition data of the corresponding reference vehicle when the reference tire is set to the dynamic tire pressure standard belonging to the current dynamic tire pressure standard range; Preprocess the obtained historical driving condition data and input it into a pre-established energy-saving evaluation model to analyze the energy-saving performance of the current reference vehicle to obtain the energy-saving performance evaluation coefficient. Reference tires with an energy-saving performance evaluation coefficient exceeding the set energy-saving performance threshold are marked as baseline tires; When there is only a single baseline tire, the dynamic tire pressure standard set when the energy-saving performance evaluation coefficient of the baseline tire is the highest is regarded as the reference tire pressure standard, and the corresponding baseline tire is marked as the key tire; When there are multiple baseline tires, the dynamic tire pressure standards set when the energy-saving performance evaluation coefficients of all baseline tires are the best are summarized in descending order of the energy-saving performance evaluation coefficient to obtain a reference tire pressure standard list; Select the first tire pressure standard in the reference tire pressure standard list as the key tire pressure standard for output, and mark the baseline tire corresponding to the key tire pressure standard as the key tire; By analyzing the differences between the key tire and the target tire, set adjustment parameters are obtained, and after adjusting the key tire pressure standard, it is used as the optimal dynamic tire pressure standard range for output.

6. The intelligent tire pressure automatic adjustment method for energy-saving driving according to claim 5, characterized in that, By analyzing the differences between the key tire and the target tire, set adjustment parameters are obtained, and after adjusting the key tire pressure standard, it is used as the optimal dynamic tire pressure standard range for output, including: Sequentially extract the historical wear data of the current key tire and the target tire from the tire usage database, and mark them as the first wear data and the second wear data respectively; Using the set wear analysis index, analyze the wear degree of the obtained first wear data or second wear data, and correspondingly obtain the actual wear coefficient of the key tire or the target tire; Based on the actual wear coefficients of the key tire and the target tire, calculate the set adjustment parameters; Among them, the calculation formula of the set adjustment parameter is as follows: ; wherein, is expressed as a set adjustment parameter; is expressed as the actual wear coefficient of the key tire; is expressed as the actual wear coefficient of the target tire; is expressed as the average value of the corresponding road surface evaluation coefficients of the key tire using the current key tire pressure standard; is expressed as the road condition evaluation coefficient of the current driving road surface of the target tire; is expressed as a differential compensation coefficient; After adjusting the key tire pressure standard with the set adjustment parameter, the optimal dynamic tire pressure standard range is obtained and output.

7. An intelligent tire pressure automatic adjustment method for energy-saving driving according to claim 1, characterized in that, Compare the first air pressure data with the real-time dynamic tire pressure standard range, and when the tire pressure of the target tire is abnormal, automatically adjust the tire pressure, including: Compare the first air pressure data with the real-time dynamic tire pressure standard range. When the first air pressure data belongs to the real-time dynamic tire pressure standard range, it is determined that the tire pressure of the current target tire is normal; When the first air pressure data is greater than the upper limit of the tire pressure standard in the real-time dynamic tire pressure standard range, it is determined that the tire pressure of the current target tire is abnormal, and obtain the first tire pressure difference value between the first air pressure data and the upper limit of the tire pressure standard and the first tire pressure adjustment direction; If the first tire pressure difference value is not greater than the set dynamic reference difference threshold, adjust the target tire to the upper limit of the tire pressure standard 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, calculate half of the first tire pressure difference value as the first adjustment amount, and perform the first tire pressure adjustment on the current target tire according to the first tire pressure adjustment direction; Obtain the first remaining difference value between the adjusted air pressure data of the target tire after the first tire pressure adjustment and the current upper limit of the tire pressure standard; After dividing the first remaining difference value according to the first set dynamic ratio, obtain the first fine adjustment amount, and then perform multiple tire pressure adjustments with the first fine adjustment amount on the current target tire in combination with the first tire pressure adjustment direction until it 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 in the real-time dynamic tire pressure standard range, it is determined that the tire pressure of the current target tire is abnormal, and the second tire pressure difference value between the first air pressure data and the lower limit of the tire pressure standard and the second tire pressure adjustment direction are obtained; If the second tire pressure difference value is not greater than the set dynamic reference difference threshold, the target tire is adjusted to the lower limit of the tire pressure standard 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, then calculate one-half of the second tire pressure difference value as the second adjustment amount, and perform the first tire pressure adjustment on the current target tire according to the second tire pressure adjustment direction; Obtain the second remaining difference value between the adjusted air pressure data of the target tire after the first tire pressure adjustment and the current lower limit of the tire pressure standard; After dividing the second remaining difference value according to the second set dynamic ratio, obtain the second fine adjustment amount, and then combine the second tire pressure adjustment direction to perform multiple tire pressure adjustments with the second fine adjustment amount on the current target tire until it is adjusted to the lower limit of the tire pressure standard.

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