A brake pad warning method and system based on driving habit analysis

Abstract

The invention discloses a brake pad warning method and system based on driving habit analysis, relates to a brake pad warning method and system based on driving habit analysis, and the technical field of brake pad detection. It solves the technical problem in the prior art that it is impossible to judge whether the sound of the brake pad has hidden dangers through staged sound detection and periodic sound detection. Specifically, the invention provides staged sound analysis, in which staged sound analysis is performed during the operation of the brake pad, and the types are divided according to the use parameters of the front end pedal of the brake pad, and the peak span ratio information and duration proportion information are collected according to the use type, and it is inferred whether the stage sound analysis is abnormal through information analysis; the periodic sound analysis, in which periodic sound analysis is performed, the low temperature normally affects the sound, and the brake pad is divided into a high-ring affecting body and a low-ring affecting body, and the high-ring sound information and the low-ring sound information are collected, and it is inferred whether the periodic sound analysis is abnormal through information comparison.

Description

Technical Field

[0001] The present invention relates to the technical field of brake pad detection, and in particular to a brake pad early warning method and system based on driving habit analysis. Background Art

[0002] The braking systems of modern cars are mostly equipped with brake pad wear sensors; when the brake pads are worn to a certain extent, the sensor sends a signal to the vehicle's electronic control unit (ECU); after the ECU receives the signal, it lights up the brake pad wear warning light on the dashboard; this warning light is usually a yellow or red icon shaped like a circle with brackets and an exclamation mark in the middle.

[0003] However, in the prior art, the brake pads cannot be accurately analyzed for wear in combination with actual driving habits, and it is impossible to ensure that each maintenance is performed under the premise of a certain amount of wear. Secondly, when the brake pad wear does not exceed the red line value, it is not possible to determine whether there are hidden dangers in the sound of the brake pads through staged sound detection and periodic sound detection. Finally, it is impossible to detect the feedback on the use of the brakes, which reduces the efficiency of the brake pad warning.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a brake pad warning method and system based on driving habit analysis.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A brake pad warning method based on driving habit analysis, the brake pad warning method is as follows:

[0008] Driving impact analysis: infer the current brake usage status through driving impact analysis, collect driving information, calculate the driving impact analysis coefficient, generate high impact signal or low impact signal through coefficient comparison, and set the driving impact error factor accordingly;

[0009] Brake wear monitoring: Analyze the actual wear of the brake pads, collect wear information, and use the formula to obtain the wear monitoring coefficient. Based on the coefficient comparison, infer whether the pad wear monitoring is normal or abnormal. If yes, perform maintenance; if not, proceed to the next step.

[0010] Staged sound analysis: Perform staged sound analysis during the operation of the brake pads. The types are divided according to the usage parameters of the brake pad front pedal, that is, emergency braking, pre-braking and active speed regulation. The usage parameters are the control speed and position moving distance. The peak span ratio information and duration ratio information are collected according to the usage type. Through information analysis, it is inferred whether the staged sound analysis is abnormal;

[0011] Periodic sound analysis: Perform periodic sound analysis, set the low temperature normal impact sound, and divide the brake pads into high-ring impact subjects and low-ring impact subjects, collect high-ring sound information and low-ring sound information, and infer whether the periodic sound analysis is abnormal through information comparison;

[0012] Braking feedback analysis analyzes the operational feedback during the real-time operation phase of the brakes, collects feedback accuracy data and feedback cycle data, and infers whether the feedback is qualified based on data analysis.

[0013] As a preferred embodiment of the present invention, the driving information includes the real-time instantaneous reduction in the acceleration span when the vehicle is braking, the real-time peak value of the reduction in the vehicle body moving distance at the current moment when the vehicle is braking and decelerating, and the real-time vehicle body shaking amplitude caused by the braking inertia when the vehicle brakes.

[0014] As a preferred embodiment of the present invention, if the vehicle driving impact analysis coefficient exceeds the driving impact analysis coefficient threshold, a high impact signal is generated and the driving impact error factor is set, and the setting value is 1.5; if the vehicle driving impact analysis coefficient does not exceed the driving impact analysis coefficient threshold, a low impact signal is generated and the driving impact error factor is set, and the setting value is 0.9.

[0015] As a preferred embodiment of the present invention, the wear information includes the floating span value of the thickness wear amount in each area of ​​the vehicle brake pad during the driving stage, the increase rate of the existing thickness deviation value after wear between each area, the continuous duration of the thickness wear increase rate in the same area of ​​the brake pad during the driving stage at the highest speed and the proportion of the total running time, and are respectively labeled MS, HZ and SB.

[0016] As a preferred embodiment of the present invention, the formula is: , where M is the wear monitoring coefficient, op1, op2 and op3 are preset proportional coefficients, and α is the driving influence error factor;

[0017] If the wear monitoring coefficient exceeds the wear monitoring coefficient threshold, a high wear signal is generated;

[0018] If the wear monitoring coefficient does not exceed the wear monitoring coefficient threshold, a low wear signal is generated.

[0019] As a preferred embodiment of the present invention, the peak span ratio information and the duration proportion information are respectively the span value ratio of the peak rising span of the decibel value generated by the brake pad during emergency braking during the driving stage and the duration of the sound generated by the brake pad during pre-braking, and the duration proportion of the sound decibel values ​​at uniform and non-uniform times corresponding to the usage parameters of the active speed regulation range during the driving stage.

[0020] As a preferred embodiment of the present invention, if the peak span ratio information exceeds the peak span ratio threshold, or the duration proportion information exceeds the duration proportion threshold, a sound check signal is generated; if the peak span ratio information does not exceed the peak span ratio threshold, and the duration proportion information does not exceed the duration proportion threshold, a normal sound signal is generated.

[0021] As a preferred embodiment of the present invention, the high-loop sound information and the low-loop sound information are respectively the delay time of the sound generation frequency alternating floating and period floating in the corresponding floating period in the temperature alternating floating period, and the sound generation frequency increase span in the period without temperature reduction;

[0022] If the high-loop sound information exceeds the delay duration threshold, or the low-loop sound information exceeds the increased frequency threshold, a brake maintenance cycle adjustment signal is generated; if the high-loop sound information does not exceed the delay duration threshold, and the low-loop sound information does not exceed the increased frequency threshold, a no abnormality signal is generated.

[0023] As a preferred embodiment of the present invention, the feedback accuracy data and the feedback cycle data are respectively the real-time offset distance of the pedal recovery position after braking under different usage parameters of the brake pad front pedal during the driving stage, and the number of non-overlapping moments of the pedal position recovery cycle and the pedal current usage cycle when the brake pad front pedal is braking during the driving stage;

[0024] If the feedback accuracy data exceeds the real-time offset distance threshold, or the feedback cycle data exceeds the non-overlapping moment number threshold, a brake system maintenance signal is generated; if the feedback accuracy data does not exceed the real-time offset distance threshold, and the feedback cycle data does not exceed the non-overlapping moment number threshold, a normal feedback signal is generated.

[0025] A brake pad warning system based on driving habit analysis includes a server, wherein the server is communicatively connected to a driving influence analysis unit, a brake state detection unit, a phase detection unit, a period detection unit, and a brake feedback analysis unit;

[0026] A driving impact analysis unit, which infers the current brake usage status through driving impact analysis, collects driving information, obtains a driving impact analysis coefficient based on calculation, generates a high impact signal or a low impact signal through coefficient comparison, and sets a driving impact error factor accordingly;

[0027] The brake status detection unit analyzes the actual wear of the brake pads, collects wear information, obtains the wear monitoring coefficient through the formula, and infers whether the wear monitoring of the pads is normal or abnormal based on the coefficient comparison. If yes, maintenance is performed, otherwise, the next step is entered;

[0028] The phased detection unit performs phased sound analysis during the operation of the brake pad and classifies the types according to the usage parameters of the brake pad front pedal, that is, emergency braking, pre-braking and active speed regulation. The usage parameters are the control speed and the position moving distance. The peak span ratio information and duration ratio information are collected according to the usage type, and the phased sound analysis is inferred through information analysis to determine whether it is abnormal;

[0029] The periodic detection unit performs periodic sound analysis, sets the low temperature normal impact sound, and divides the brake pads into high-ring impact subjects and low-ring impact subjects, collects high-ring sound information and low-ring sound information, and infers whether the periodic sound analysis is abnormal through information comparison;

[0030] The brake feedback analysis unit analyzes the operation feedback during the real-time operation phase of the brake, collects feedback accuracy data and feedback cycle data, and infers whether the feedback is qualified based on data analysis.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] 1. In the present invention, the current brake usage status is inferred through driving influence analysis. According to the usage status analysis, the monitoring accuracy can be improved in the brake wear monitoring and analysis process. At the same time, the brake wear can be accurately monitored in combination with the driving influence. While improving the monitoring accuracy, the brake wear maintenance can be carried out in a targeted manner. It can also reasonably generate early warning signals to maximize the use efficiency of the brakes under the premise of ensuring safe driving;

[0033] After the driving impact analysis is completed, the actual wear of the brake pads is analyzed. The current usable status of the brakes is inferred through the driving impact analysis combined with the brake wear analysis. Wear warnings are issued in abnormal situations to avoid reduced vehicle driving safety due to insufficient accuracy in brake pad monitoring. At the same time, actual wear warnings can enable timely maintenance and can ensure that each maintenance is carried out under the premise of reaching the required amount of wear, reducing real-time maintenance costs.

[0034] 2. In the present invention, when the brake wear monitoring fails to detect obvious wear, a periodic sound analysis is performed during the operation of the brake pad. The periodic sound analysis is used to infer whether the sound generated during the current operation of the brake pad is abnormal, so as to provide a timely life warning, avoid the occurrence of failures outside the wear monitoring cycle or sudden failures, resulting in untimely warnings that affect vehicle driving safety. At the same time, the sound analysis can infer whether the service life of the current stage is normal, and timely predict risks to ensure operating efficiency;

[0035] When the stage sound analysis passes and there is no abnormality, a period sound analysis is carried out, that is, the rationality analysis of the corresponding sounds in the current stage and the adjacent stages is carried out. The rationality analysis of the sound generation is used to infer whether there is a usage fault in the current brake pad. When the abnormal sound does not reach the warning value, the sound generation situation in each stage can be used to reasonably predict the brake pad, and accurate operation warning can be given to avoid the occurrence of brake pad wear.

[0036] 3. In the present invention, the operation feedback of the real-time operation stage of the brake is analyzed, and whether the brake usage status during the current driving process is normal is inferred based on the real-time brake feedback analysis. Regardless of whether there is an early warning, the brake pads are inspected and repaired when the operation feedback analysis is abnormal to ensure driving safety and maximize the use efficiency of the brake pads. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0038] Figure 1 is a flow chart of the method of the present invention;

[0039] Figure 2 It is a system principle block diagram of the present invention. DETAILED DESCRIPTION

[0040] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0042] See also Figure 1 As shown, a brake pad warning method based on driving habit analysis is described. The specific brake pad warning method is as follows:

[0043] Driving impact analysis: The current brake usage status can be inferred through driving impact analysis. The use status analysis can improve the monitoring accuracy during the brake wear monitoring and analysis process. At the same time, the brake wear can be accurately monitored in combination with driving impact. While improving the monitoring accuracy, targeted brake wear maintenance can be performed. It can also reasonably generate early warning signals to maximize the use efficiency of the brakes while ensuring safe driving.

[0044] Brake wear monitoring: After the driving impact analysis is completed, the actual wear of the brake pads is analyzed. The current usable state of the brakes is inferred through the driving impact analysis combined with the brake wear analysis. Wear warnings are issued in abnormal situations to avoid the reduction of vehicle driving safety due to insufficient accuracy of brake pad monitoring. At the same time, actual wear warnings can be used to perform maintenance in a timely manner, and each maintenance can be carried out under the premise of reaching the required amount of wear, reducing real-time maintenance costs.

[0045] Periodic sound analysis: when the brake wear monitoring fails to detect obvious wear and tear, the brake pads are subjected to periodic sound analysis during operation. This analysis can be used to infer whether the sound produced by the brake pads during operation is abnormal, so as to provide timely life warnings and avoid unexpected failures outside the wear monitoring cycle, which may affect vehicle driving safety due to untimely warnings. At the same time, the sound analysis can infer whether the service life of the brake pads at the current stage is normal, and timely predict risks to ensure operational efficiency.

[0046] Periodic sound analysis: when the periodic sound analysis passes and there is no abnormality, the periodic sound analysis is performed, that is, the rationality analysis of the corresponding sound generation in the current stage and the adjacent stage is performed. The rationality analysis of the sound generation is used to infer whether there is a use fault in the current brake pad. When the abnormal sound does not reach the warning value, the sound generation situation in each stage can be used to reasonably predict the brake pad, and the operation warning can be accurately performed to avoid the occurrence of brake pad wear.

[0047] Braking feedback analysis: analyze the operational feedback of the real-time braking operation stage, and infer whether the braking status is normal during the current driving process based on the real-time braking feedback analysis. Regardless of whether there is an early warning, the brake pads are inspected and repaired when the operational feedback analysis is abnormal to ensure driving safety and maximize the efficiency of the brake pads;

[0048] The driving impact analysis process is as follows:

[0049] Obtain the driving period of the vehicle where the monitored brake pad is located, and perform driving analysis based on the driving period to infer the impact of vehicle driving on the brake pad. When the vehicle speeds up and the acceleration increases during the driving period, collect the instantaneous reduction of the real-time acceleration span when the vehicle brakes, where the vehicle acceleration is expressed as the speed increase value of the vehicle speed acceleration, and mark the instantaneous reduction of the real-time acceleration span when the vehicle brakes as SJD;

[0050] When the vehicle needs to slow down during the driving period, the peak value of the vehicle body moving distance reduction at the current moment when the vehicle brakes and decelerates is obtained, and the peak value of the vehicle body moving distance reduction at the current moment when the vehicle brakes and decelerates is marked as JDF;

[0051] When the vehicle needs to stop during the driving period, the real-time vehicle body shaking amplitude caused by the vehicle braking inertia when the vehicle brakes is obtained, and the real-time vehicle body shaking amplitude caused by the vehicle braking inertia when the vehicle brakes is marked as CSD;

[0052] The above collected data are uniformly marked as driving information, and substituted into the formula to obtain the vehicle driving impact analysis coefficient during the vehicle driving period, where the formula is: , where JS is the driving impact analysis coefficient, gh1, gh2 and gh3 are preset proportional coefficients;

[0053] Compare the vehicle driving impact analysis coefficient during the vehicle driving period with the driving impact analysis coefficient threshold:

[0054] If the vehicle driving impact analysis coefficient during the vehicle driving period exceeds the driving impact analysis coefficient threshold, it is inferred that the driving impact during the vehicle driving period is high, a high impact signal is generated and sent to the administrator terminal, the administrator warns the driver and sets a driving impact error factor with a value of 1.5;

[0055] If the vehicle driving impact analysis coefficient during the vehicle driving period does not exceed the driving impact analysis coefficient threshold, it is inferred that the driving impact during the vehicle driving period is low, a low impact signal is generated and sent to the administrator terminal, and the administrator sets the driving impact error factor, and the setting value is 0.9;

[0056] The brake wear monitoring process is as follows:

[0057] Real-time wear collection of brake pads is performed, and the brake pads are divided into several equal-area areas. The thickness values ​​of the corresponding areas in the brake pads are collected at any time during the vehicle driving period, and the thickness wear of each area of ​​the brake pads is obtained according to the order of the corresponding collection time. The thickness wear floating span value of each area of ​​the vehicle brake pad during the driving stage and the increase speed of the existing thickness deviation value after wear between each area are collected through the thickness wear, and the thickness wear floating span value of each area of ​​the vehicle brake pad during the driving stage and the increase speed of the existing thickness deviation value after wear between each area are marked as MS and HZ respectively;

[0058] The ratio of the duration of the continuous maximum speed of the thickness wear increase speed in the same area of ​​the brake pad during the driving stage to the total running time is collected, and the ratio of the continuous maximum speed of the thickness wear increase speed in the same area of ​​the brake pad during the driving stage to the total running time is marked as SB;

[0059] The above collected data are uniformly marked as wear information and substituted into the formula to obtain the wear monitoring coefficient of the brake pad during the driving period, where the formula is: , where M is the wear monitoring coefficient, op1, op2 and op3 are preset proportional coefficients, and α is the driving influence error factor;

[0060] The wear monitoring factor of the brake pad during the driving period is compared with the wear monitoring factor threshold:

[0061] If the wear monitoring coefficient of the brake pad exceeds the wear monitoring coefficient threshold during the driving period, it is inferred that the brake pad wear monitoring is abnormal, a high wear signal is generated and sent to the administrator terminal. After receiving the high wear signal, the administrator terminal issues an early warning and performs inspection and maintenance on the brake pad.

[0062] If the wear monitoring coefficient of the brake pad during the driving period does not exceed the wear monitoring coefficient threshold, it is inferred that the brake pad wear monitoring is normal, a low wear signal is generated and sent to the administrator terminal, and the next step is entered;

[0063] The staged sound analysis process is as follows:

[0064] It is divided according to the usage parameters of the pedal at the front end of the brake pad, where the usage parameters are the control speed and the position movement distance; if the control speed exceeds the set threshold and the pedal position movement distance reaches the limit value, the current braking is marked as emergency braking; if the control speed exceeds the set threshold or the pedal position movement distance reaches the limit value, and only one of the situations occurs, the current braking is marked as pre-braking; if the control speed does not exceed the set threshold and the pedal position movement distance does not reach the limit value, the current braking is marked as active speed regulation;

[0065] The span value ratio of the decibel peak rise span of the sound generated by the brake pad during emergency braking in the driving stage to the peak value drop span of the proportion of the duration of the sound generated by the brake pad during pre-braking is obtained, and at the same time, the duration ratio of the sound decibel values ​​at the unified time and the non-uniform time corresponding to the use parameters of the active speed regulation range at different times in the driving stage is obtained, wherein the uniform sound decibel value indicates that the abnormal sound decibel value of the brake pad within the current active speed regulation range is consistent, and there is no high corresponding decibel value when the control speed is high or the position moving distance is large. This value can reflect the use status of the brake pad and avoid the wear of the brake pad during the use time outside the wear detection cycle; and the span value ratio of the decibel peak rise span of the sound generated by the brake pad during emergency braking in the driving stage to the peak value drop span of the proportion of the duration of the sound generated by the brake pad during pre-braking, and the duration ratio of the sound decibel values ​​at the unified time and the non-uniform time corresponding to the use parameters of the active speed regulation range at different times in the driving stage are marked as peak span ratio information and duration ratio information, and compared with the peak span ratio threshold and the duration ratio threshold respectively:

[0066] If the ratio of the span value of the peak rising span of the decibel value of the brake pad during emergency braking during the driving stage to the duration of the sound generated by the brake pad during pre-braking as a percentage of the peak falling span exceeds the peak span ratio threshold, or the duration ratio of the sound decibel values ​​corresponding to the usage parameters of the active speed regulation range at different times during the driving stage at the unified time and non-unified time exceeds the duration ratio threshold, it is inferred that the staged sound analysis of the brake pad during the driving stage is abnormal, and a sound inspection signal is generated and sent to the administrator terminal. After receiving the sound inspection signal, the administrator terminal simulates the operation scenario of the current brake pad and performs detection according to the actual sound position;

[0067] If the ratio of the span value of the peak value rising span of the decibel value of the brake pad sound during emergency braking to the duration of the sound generated by the brake pad during pre-braking to the peak value falling span does not exceed the peak span ratio threshold, and the duration ratio of the sound decibel value at different times corresponding to the use parameters of the active speed regulation range during the driving stage at the unified time and non-unified time does not exceed the duration ratio threshold, it is inferred that the staged sound analysis of the brake pad during the driving stage is normal, and a normal sound signal is generated and sent to the administrator terminal; proceed to the next step;

[0068] The process of periodic sound analysis is as follows:

[0069] When there is no obvious abnormal sound in the staged sound analysis, the sound generated by the brake pads in different periods is analyzed, and the sound generation frequency of the brake pads in the operation stage during the period of reduced operating environment is collected. When the sound generation frequency is lower than the set frequency threshold, it is set as the sound affected by low temperature normally; the sound generation frequency of the adjacent periods when there is no temperature reduction during the period of reduced operating environment is obtained, and the frequency difference is calculated by the difference of the corresponding sound generation frequencies of the adjacent periods. If the frequency difference exceeds the set threshold, it is inferred that the current brake pads are easily affected by the environment and marked as a high-ring affected subject; otherwise, the frequency difference does not exceed the set threshold, it is inferred that the current brake pads are easily affected by the environment and marked as a low-ring affected subject;

[0070] The delay time between the alternating floating of the sound generation frequency and the period floating in the corresponding floating period of the temperature alternating floating period of the high-ring influence subject during the driving stage is collected, which is expressed as whether the sound generation frequency fluctuates with the alternation of the period. The delay time indicates that there is a period in the sound generation frequency alternation period where the temperature does not decrease and the corresponding sound generation frequency also increases; and the delay time between the alternating floating of the sound generation frequency and the period floating in the corresponding floating period of the temperature alternating floating period of the high-ring influence subject during the driving stage is marked as high-ring sound information;

[0071] At the same time, the frequency increase span of the sound generated by the low-ring influence subject corresponding to the period without temperature reduction is obtained, and the frequency increase span of the sound generated by the low-ring influence subject corresponding to the period without temperature reduction is marked as low-ring sound information, wherein no temperature reduction is indicated as the temperature fluctuation corresponding to the driving period exceeds the set floating temperature span value;

[0072] And the high-loop sound information and the low-loop sound information are compared with the delay duration threshold and the increase frequency threshold respectively:

[0073] If the high-loop sound information exceeds the delay time threshold, or the low-loop sound information exceeds the increase frequency threshold, it is inferred that there is an abnormality in the periodic sound analysis, and a brake maintenance cycle adjustment signal is generated and sent to the administrator terminal. After the administrator terminal receives the brake maintenance cycle adjustment signal, the brake pad is inspected at the current time and the current time is used as the start time of the maintenance cycle, and the maintenance cycle is replanned and shortened;

[0074] If the high-loop sound information does not exceed the delay duration threshold, and the low-loop sound information does not exceed the increase frequency threshold, it is inferred that the periodic sound analysis is normal, and a no-abnormality signal is generated and sent to the administrator terminal; proceed to the next step;

[0075] The brake feedback analysis process is as follows:

[0076] Regardless of whether there is any brake warning, the real-time offset distance of the pedal recovery position after braking under different usage parameters of the brake pad front pedal during the driving stage is obtained, and the number of non-overlapping moments of the pedal position recovery cycle and the pedal current usage cycle when the brake pad front pedal is braking during the driving stage is obtained. The real-time offset distance of the pedal recovery position after braking under different usage parameters of the brake pad front pedal during the driving stage and the number of non-overlapping moments of the pedal position recovery cycle and the pedal current usage cycle when the brake pad front pedal is braking during the driving stage are marked as feedback accuracy data and feedback cycle data, respectively, and compared with the real-time offset distance threshold and the non-overlapping moment number threshold, respectively:

[0077] If the feedback accuracy data exceeds the real-time offset distance threshold, or the feedback cycle data exceeds the non-overlapping time threshold, it is inferred that the operation and coordination of the brake pads during the driving period are abnormal, and a brake system maintenance signal is generated and sent to the administrator terminal. After receiving the brake system maintenance signal, the administrator terminal monitors the coordinated operation efficiency of all components in the brake system where the brake pads are located;

[0078] If the feedback accuracy data does not exceed the real-time offset distance threshold, and the feedback cycle data does not exceed the non-overlapping time quantity threshold, it is inferred that the operation of the brake pads during the driving period is normal, and a normal feedback signal is generated and sent to the administrator terminal.

[0079] See also Figure 2 As shown, a brake pad warning system based on driving habit analysis includes a server, which is communicatively connected to a driving impact analysis unit, a brake state detection unit, a phase detection unit, a period detection unit, and a brake feedback analysis unit;

[0080] A driving impact analysis unit, which infers the current brake usage status through driving impact analysis, collects driving information, obtains a driving impact analysis coefficient based on calculation, generates a high impact signal or a low impact signal through coefficient comparison, and sets a driving impact error factor accordingly;

[0081] The brake status detection unit analyzes the actual wear of the brake pads, collects wear information, obtains the wear monitoring coefficient through the formula, and infers whether the wear monitoring of the pads is normal or abnormal based on the coefficient comparison. If yes, maintenance is performed, otherwise, the next step is entered;

[0082] The phased detection unit performs phased sound analysis during the operation of the brake pad and classifies the types according to the usage parameters of the brake pad front pedal, that is, emergency braking, pre-braking and active speed regulation. The usage parameters are the control speed and the position moving distance. The peak span ratio information and duration ratio information are collected according to the usage type, and the phased sound analysis is inferred through information analysis to determine whether it is abnormal;

[0083] The periodic detection unit performs periodic sound analysis, sets the low temperature normal impact sound, and divides the brake pads into high-ring impact subjects and low-ring impact subjects, collects high-ring sound information and low-ring sound information, and infers whether the periodic sound analysis is abnormal through information comparison;

[0084] The brake feedback analysis unit analyzes the operation feedback during the real-time operation phase of the brake, collects feedback accuracy data and feedback cycle data, and infers whether the feedback is qualified based on data analysis.

[0085] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0086] When the present invention is used, driving impact analysis is performed to infer the current brake usage status through driving impact analysis, driving information is collected, a driving impact analysis coefficient is obtained according to calculation, a high impact signal or a low impact signal is generated through coefficient comparison, and a driving impact error factor is set accordingly;

[0087] Brake wear monitoring: Analyze the actual wear of the brake pads, collect wear information, and use the formula to obtain the wear monitoring coefficient. Based on the coefficient comparison, infer whether the pad wear monitoring is normal or abnormal. If yes, perform maintenance; if not, proceed to the next step.

[0088] Staged sound analysis: Perform staged sound analysis during the operation of the brake pads. The types are divided according to the usage parameters of the brake pad front pedal, that is, emergency braking, pre-braking and active speed regulation. The usage parameters are the control speed and position moving distance. The peak span ratio information and duration ratio information are collected according to the usage type. Through information analysis, it is inferred whether the staged sound analysis is abnormal;

[0089] Periodic sound analysis: Perform periodic sound analysis, set the low temperature normal impact sound, and divide the brake pads into high-ring impact subjects and low-ring impact subjects, collect high-ring sound information and low-ring sound information, and infer whether the periodic sound analysis is abnormal through information comparison;

[0090] Braking feedback analysis analyzes the operational feedback during the real-time operation phase of the brakes, collects feedback accuracy data and feedback cycle data, and infers whether the feedback is qualified based on data analysis.

[0091] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A brake pad warning method based on driving habit analysis, characterized in that: Brake pad warning method is as follows: Driving impact analysis, infer the current braking status through driving impact analysis, collect driving information, calculate the driving impact analysis coefficient, generate a high impact signal or a low impact signal through coefficient comparison, and set the driving impact error factor accordingly; driving information includes the instantaneous reduction of the real-time acceleration span when the vehicle is braking, the peak value of the reduction in the real-time vehicle body movement distance when the vehicle is braking and decelerating, and the real-time vehicle body vibration amplitude caused by the braking inertia when the vehicle is braking, and they are marked as SJD, JDF and CSD respectively; through the formula Obtain the vehicle driving impact analysis coefficient during the vehicle driving period, where JS is the driving impact analysis coefficient, and gh1, gh2 and gh3 are respectively preset proportional coefficients; If the vehicle driving impact analysis coefficient exceeds the driving impact analysis coefficient threshold, a high impact signal is generated and a driving impact error factor is set to 1.5; if the vehicle driving impact analysis coefficient does not exceed the driving impact analysis coefficient threshold, a low impact signal is generated and a driving impact error factor is set to 0.9; Brake wear monitoring: analyze the actual wear of the brake pad, collect wear information, obtain the wear monitoring coefficient through the formula, and infer whether the wear monitoring of the vehicle pad is normal or abnormal based on the coefficient comparison. If yes, maintenance is performed, otherwise, the next step is entered; the wear information includes the floating span value of the thickness wear amount in each area of ​​the vehicle brake pad during the driving stage, the increase speed of the existing thickness deviation value after wear between each area, and the continuous duration of the thickness wear increase speed in the same area of ​​the brake pad during the driving stage at the highest speed and the proportion of the total running time, and the labels MS, HZ and SB are set respectively; the formula is: , where M is the wear monitoring coefficient, op1, op2 and op3 are preset proportional coefficients, and α is the driving influence error factor; If the wear monitoring coefficient exceeds the wear monitoring coefficient threshold, a high wear signal is generated; If the wear monitoring coefficient does not exceed the wear monitoring coefficient threshold, a low wear signal is generated; Staged sound analysis: Perform staged sound analysis during the operation of the brake pads, and classify the types according to the usage parameters of the pedal at the front end of the brake pads, that is, emergency braking, pre-braking and active speed regulation. The usage parameters are the control speed and the position moving distance. The peak span ratio information and duration ratio information are collected according to the usage type, and the information analysis is used to infer whether the staged sound analysis is abnormal; the peak span ratio information and duration ratio information are respectively the span value ratio of the peak rising span of the sound decibel generated by the brake pads during emergency braking during the driving stage and the duration of the sound generated by the brake pads during pre-braking, and the duration ratio of the sound decibel values ​​at the same time and the non-uniform time corresponding to the usage parameters of the active speed regulation range at different times during the driving stage; Periodic sound analysis: Perform periodic sound analysis, set the low temperature normal impact sound, and divide the brake pads into high-ring impact subjects and low-ring impact subjects, collect high-ring sound information and low-ring sound information, and infer whether the periodic sound analysis is abnormal through information comparison; Braking feedback analysis analyzes the operational feedback during the real-time operation phase of the brakes, collects feedback accuracy data and feedback cycle data, and infers whether the feedback is qualified based on data analysis.

2. The brake pad warning method based on driving habit analysis according to claim 1 is characterized in that: If the peak span ratio information exceeds the peak span ratio threshold, or the duration ratio information exceeds the duration ratio threshold, a sound check signal is generated; if the peak span ratio information does not exceed the peak span ratio threshold, and the duration ratio information does not exceed the duration ratio threshold, a normal sound signal is generated.

3. The brake pad warning method based on driving habit analysis according to claim 1 is characterized in that: The high-loop sound information and the low-loop sound information are respectively the delay time of the sound generation frequency alternating and floating in the corresponding floating period in the temperature alternating floating period and the period floating, and the increase span of the sound generation frequency in the period without temperature reduction; If the high-loop sound information exceeds the delay duration threshold, or the low-loop sound information exceeds the increased frequency threshold, a brake maintenance cycle adjustment signal is generated; if the high-loop sound information does not exceed the delay duration threshold, and the low-loop sound information does not exceed the increased frequency threshold, a no abnormality signal is generated.

4. The brake pad warning method based on driving habit analysis according to claim 1 is characterized in that: The feedback accuracy data and feedback cycle data are respectively the real-time offset distance of the pedal recovery position after braking under different usage parameters of the brake pad front pedal during the driving stage, and the number of non-overlapping moments of the pedal position recovery cycle and the pedal current usage cycle during braking of the brake pad front pedal during the driving stage; If the feedback accuracy data exceeds the real-time offset distance threshold, or the feedback cycle data exceeds the non-overlapping moment number threshold, a brake system maintenance signal is generated; if the feedback accuracy data does not exceed the real-time offset distance threshold, and the feedback cycle data does not exceed the non-overlapping moment number threshold, a normal feedback signal is generated.

5. A brake pad warning system based on driving habit analysis, characterized in that: A brake pad warning method based on driving habit analysis as described in any one of claims 1-4.

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