Communication information transmission system and method during electric vehicle rental process

Abstract

The present invention relates to the technical field of electric vehicle rental, and in particular to a communication information transmission system and method in the process of electric vehicle rental, the system comprising: a user module acquires actual user information; an analysis module receives user information and matches, acquires historical rental information, and calculates rental credit points based on the analysis results to determine the user rental level; a vehicle management module determines the initial rental car according to the user rental level; an adjustment module collects real-time status parameters, calculates the ratio of abnormal status parameters, preliminarily determines to adjust preset communication parameters, and transmits a number of real-time status parameters; the vehicle management module also includes acquiring and analyzing receiving status parameters, judging the communication effect to calibrate the initial communication parameters, and formulating a repair strategy based on the judgment result of the receiving status parameters. The present invention improves the stability of communication in the process of electric vehicle rental.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle rental, and in particular to a communication information transmission system and method during electric vehicle rental. Background Art

[0002] As the electric vehicle rental market continues to expand, users' demands for convenience and safety in the rental process are increasing.

[0003] A patent document with Chinese patent application number CN109600412A discloses a method for transmitting communication information during electric vehicle rental, the method comprising: a vehicle rental management terminal sends query request information to a vehicle-mounted terminal; a user's handheld wireless terminal receives the query request information and sends the received query request information to a cloud server; the cloud server parses and obtains the destination address of the query request information, and based on the destination address obtained by the parsing, determines whether a response feedback information from the destination address is received within a preset time interval, if so, determines that the communication between the vehicle-mounted terminal and the vehicle rental management terminal is successful, otherwise, determines that the communication between the vehicle-mounted terminal and the vehicle rental management terminal fails, and sends the communication information to the user's handheld wireless terminal; the user's handheld wireless terminal forwards the communication information to the vehicle-mounted terminal.

[0004] In the prior art, the establishment and maintenance of communication depends on the user's handheld wireless terminal. When a problem occurs with the handheld terminal, communication between the vehicle rental management terminal and the vehicle-mounted terminal will have problems, resulting in low stability of the communication process. Summary of the invention

[0005] To this end, the present invention provides a communication information transmission system and method during the electric vehicle rental process, which can solve the problem of low stability in the communication process.

[0006] To achieve the above object, the present invention provides a communication information transmission system in the process of electric vehicle rental, the system comprising:

[0007] User module, used to obtain actual user information;

[0008] An analysis module, connected to the user module, for receiving the user information, matching the user information with the historical rental information database, obtaining the user's historical rental information based on the matching result, analyzing the historical rental information, calculating the rental credit score based on the analysis result, and determining the user's rental level based on the rental credit score;

[0009] A vehicle management module, connected to the analysis module, for receiving the user rental level, matching the user rental level with a preset level in a preset vehicle library, and determining an initial rental car corresponding to the preset level based on the matching result;

[0010] an adjustment module, connected to the vehicle management module, for collecting the real-time status parameters of the initial rental car in real time, calculating the ratio of the abnormal status parameters in the real-time status parameters, making a preliminary judgment on the real-time status parameters based on the ratio, adjusting the preset communication parameters based on the preliminary judgment result, obtaining the initial communication parameters, and transmitting a plurality of real-time status parameters based on the initial communication parameters;

[0011] The vehicle management module also includes receiving a plurality of the real-time status parameters, acquiring the received status parameters, analyzing the plurality of received status parameters, judging the communication effect according to the analysis result, calibrating the initial communication parameters based on the communication effect judgment result, judging the degree of damage to the initial rental car based on the received status parameters, and formulating a repair strategy for the initial rental car based on the judgment result.

[0012] Furthermore, the analysis module includes:

[0013] A matching unit, used for matching the actual user information with the historical user information in the historical rental information database, and obtaining the historical rental record according to the matching result, wherein the historical rental record includes the historical rental duration, the historical rental number and the historical vehicle damage degree;

[0014] A rental grade determination unit is connected to the matching unit, and is used to calculate a rental credit score based on the historical rental duration, the historical number of rentals, and the historical degree of vehicle damage, compare the rental credit score with a preset credit score range, and determine the user rental grade based on the comparison result.

[0015] Furthermore, the rental level determination unit includes:

[0016] A duration calculation subunit, used to calculate a duration rental credit score based on the historical rental duration, wherein the duration rental credit score is proportional to the historical rental duration;

[0017] A times calculation subunit, used to calculate a times rental credit score based on the historical times of rentals, wherein the times rental credit score is proportional to the historical times of rentals;

[0018] A damage calculation subunit, used to calculate a damage rental credit score based on the historical vehicle damage degree, wherein the damage rental damage degree calculation subunit credit score is inversely proportional to the historical vehicle damage degree;

[0019] a credit score calculation subunit, connected to the duration calculation subunit, the number calculation subunit and the damage calculation subunit, for summing up the duration rental credit score, the number rental credit score and the damage rental credit score to obtain the rental credit score;

[0020] The grade determination subunit is connected to the credit score calculation subunit, and is used to compare the rental credit score with a preset credit score range, and determine the user rental grade based on the comparison result.

[0021] Furthermore, the adjustment module includes:

[0022] A parameter collection unit, used for collecting real-time status parameters of the initial rental car, wherein the real-time status parameters include battery consumption rate and vehicle driving trajectory;

[0023] an identification unit, connected to the parameter acquisition unit, for identifying an abnormal consumption rate in the battery consumption rate and an abnormal trajectory in the vehicle driving trajectory;

[0024] a ratio comparison unit, connected to the identification unit, for respectively determining the proportions of the abnormal consumption rate and the abnormal trajectory, determining an actual ratio based on the proportion determination result, and comparing the actual ratio with a preset ratio to obtain a ratio comparison result;

[0025] A parameter adjustment unit is connected to the ratio comparison unit and is used to adjust the preset communication parameters according to the ratio comparison result to obtain the initial communication parameters.

[0026] Furthermore, the identification unit includes:

[0027] A rate identification subunit, used to compare the battery consumption rate with a preset rate range, mark the battery consumption rate that is not within the preset rate range according to the comparison result, and obtain the abnormal consumption rate;

[0028] The trajectory recognition subunit is used to compare the vehicle driving trajectory with the preset driving trajectory, calculate the actual deviation based on the comparison result, compare the actual deviation with the preset deviation, mark the driving trajectory corresponding to the actual deviation greater than the preset deviation according to the comparison result, and obtain the abnormal trajectory.

[0029] Furthermore, the trajectory recognition subunit includes:

[0030] A segmentation block is used to segment the vehicle driving trajectory according to a preset time interval to obtain a plurality of trajectory segments;

[0031] a deviation calculation block, connected to the segmentation block, for calculating an actual deviation between any of the trajectory segments and a preset trajectory segment of a preset driving trajectory in a corresponding time period;

[0032] an abnormal marking block, connected to the deviation calculation block, for marking the trajectory segment where the actual deviation is greater than the preset deviation, to obtain an abnormal trajectory segment;

[0033] The merging processing block is connected to the abnormal marking block and is used to merge the continuously marked abnormal trajectory segments to obtain the abnormal trajectory.

[0034] Furthermore, the parameter adjustment unit includes:

[0035] A coefficient calculation subunit, used for calculating an adjustment coefficient according to the ratio comparison result;

[0036] a parameter determination subunit, connected to the coefficient calculation subunit, for adjusting the preset communication parameters based on the adjustment coefficients to obtain initial communication parameters;

[0037] The preset communication parameters include a preset transmission frequency and a preset transmission power.

[0038] Furthermore, the vehicle management module also includes:

[0039] A parameter analysis unit, configured to calculate the transmission duration based on the sending timestamp and receiving timestamp of the real-time state parameter, compare the receiving state parameter with the real-time state parameter, and calculate the data integrity and bit error rate based on the comparison result;

[0040] an effect judgment unit, connected to the parameter analysis unit, for calculating a communication effect evaluation value based on the actual transmission duration, the actual data integrity and the actual bit error rate;

[0041] a parameter calibration unit, connected to the effect judgment unit, for calibrating the initial communication parameters based on the communication effect evaluation value;

[0042] The repair unit is used to judge the degree of damage of the initial rental car based on the received state parameters, and formulate a repair strategy for the initial rental car based on the judgment result.

[0043] Furthermore, the parameter analysis unit comprises:

[0044] A timestamp calculation subunit, used to calculate the difference between the sending timestamp and the receiving timestamp to obtain the actual transmission duration;

[0045] a complete calculation subunit, for comparing the received state parameter with the real-time state parameter item by item, counting the number of missing parameter items, and calculating the actual data integrity based on the ratio of the number of missing parameter items to the total number of parameter items;

[0046] The bit error rate calculation subunit is used to compare the receiving state parameter with the real-time state parameter item by item, count the number of erroneous parameter items, and calculate the actual bit error rate based on the ratio of the number of erroneous parameter items to the total number of parameter items.

[0047] In another aspect, the present invention provides a method for a communication information transmission system in an electric vehicle rental process, the method comprising:

[0048] The user end obtains actual user information;

[0049] The cloud platform server receives the user information, matches the user information with the historical rental information database, obtains the user's historical rental information based on the matching result, analyzes the historical rental information, calculates the rental credit score based on the analysis result, and determines the user's rental level based on the rental credit score;

[0050] The rental vehicle management terminal receives the user rental level, matches the user rental level with a preset level in a preset vehicle library, and determines an initial rental car corresponding to the preset level based on the matching result;

[0051] The vehicle terminal collects the real-time status parameters of the initial rental car in real time, calculates the ratio of the abnormal status parameters in the real-time status parameters, makes a preliminary judgment on the real-time status parameters based on the ratio, adjusts the preset communication parameters based on the preliminary judgment result, obtains the initial communication parameters, and transmits a number of real-time status parameters based on the initial communication parameters;

[0052] The rental vehicle management terminal receives the real-time status parameters, obtains the received status parameters, analyzes the received status parameters, judges the communication effect according to the analysis results, calibrates the initial communication parameters based on the communication effect judgment results, judges the degree of damage to the initial rental car based on the received status parameters, and formulates a repair strategy for the initial rental car based on the judgment results.

[0053] Compared with the prior art, the beneficial effect of the present invention lies in that, by setting up an analysis module for comprehensive processing of user information, including matching with the user's historical rental information, calculating the rental credit score and determining the rental level, a more accurate user evaluation basis is provided for the vehicle management module, thereby helping to make reasonable rental decisions. According to the user's rental level, the vehicle management module can match the initial rental car of the corresponding level from the preset vehicle library, realize the optimal allocation of vehicle resources, meet the needs of different user groups, and improve the efficiency of the rental process. By setting up an adjustment module, the real-time status parameters of the initial rental car are collected and preliminarily judged. By dynamically adjusting the preset communication parameters, the timely transmission of key information is ensured, the communication efficiency is improved, and unnecessary data transmission is reduced, and the communication cost is reduced. The vehicle management module judges the abnormality of the initial rental car based on the received real-time status parameters, and formulates a repair strategy accordingly, which reduces vehicle failures and improves the overall management efficiency of rental vehicles. Through the efficient information transmission process between each module, the stability of communication during the electric vehicle rental process is improved.

[0054] In particular, by setting up a matching unit to accurately match actual user information with historical user information in the historical rental information database, an accurate basis is provided for determining the user's rental level, making the evaluation of the rental level more accurate and avoiding misjudgment caused by inaccurate information. By setting up a rental level determination unit to quantify the user's rental credit score through historical rental duration, historical rental times and historical vehicle damage, the user's rental behavior and credit status are fully reflected, and the rationality of the rental level determination is improved. By comparing the rental credit score with the preset credit score range, the division of rental levels is made clearer and more specific, which helps the vehicle management module to formulate more reasonable vehicle allocation and management parameters according to the rental level, thereby improving the efficiency of the car rental process.

[0055] In particular, by setting the parameter collection unit to collect the real-time status parameters of the initial rental car in real time, abnormal conditions in the vehicle operation can be discovered and responded to in a timely manner, thereby preventing potential safety problems and performance degradation; by setting the identification unit, the abnormal consumption rate in the battery consumption rate and the abnormal trajectory in the vehicle driving trajectory can be accurately identified, which helps to reduce false alarms and missed alarms and improve the accuracy and reliability of fault detection; by setting the ratio comparison unit, by comparing the proportion of abnormal consumption rate and abnormal trajectory with a preset ratio, it can intelligently determine whether the vehicle status deviates from the normal range and make decisions accordingly, which helps to improve communication efficiency and stability; by setting the parameter adjustment unit, the preset communication parameters can be adjusted according to the ratio comparison result, and the dynamic adjustment enables the adjustment module to cope with different communication environments and vehicle conditions, ensuring smooth and effective communication, thereby improving the stability of communication during the electric vehicle rental process.

[0056] In particular, by setting the coefficient calculation subunit, the adjustment coefficient can be dynamically calculated according to the ratio comparison result, ensuring that the communication parameters can be adjusted according to the actual vehicle state. By adjusting the preset communication parameters based on the adjustment coefficient through the parameter determination subunit, the initial communication parameters adapted to the current vehicle state can be obtained, thereby realizing dynamic optimization of the communication parameters, helping to improve the efficiency and stability of communication, effectively responding to different communication environments and vehicle states, and ensuring smooth and effective communication during the electric vehicle rental process.

[0057] In particular, by setting the parameter analysis unit, the transmission duration, data integrity and bit error rate of the real-time status parameters during the transmission process can be accurately calculated, so as to comprehensively evaluate the communication effect. The effect judgment unit calculates the communication effect evaluation value based on the actual transmission duration, the actual data integrity and the actual bit error rate, which intuitively reflects the actual effect of the current communication parameters. The parameter calibration unit calibrates the initial communication parameters according to the communication effect evaluation value. When the communication effect evaluation value is lower than the preset threshold, the parameter calibration unit will trigger the adjustment of the communication parameters to ensure that the communication of the electric vehicle is always in the best state during the rental process. The repair unit judges the degree of damage to the rental car based on the received status parameters. Through analysis and evaluation, it can accurately formulate a repair strategy to ensure that the rental car returns to normal in a short time, thereby improving the reliability of the electric vehicle rental process. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 A structural block diagram of a communication information transmission system in an electric vehicle rental process provided by an embodiment of the present invention;

[0059] Figure 2 A second structural block diagram of the communication information transmission system in the electric vehicle rental process provided by an embodiment of the present invention;

[0060] Figure 3 A third structural block diagram of the communication information transmission system in the electric vehicle rental process provided by an embodiment of the present invention;

[0061] Figure 4 A schematic flow chart of a method for transmitting communication information during an electric vehicle rental process provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0062] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0063] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0064] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be understood as a limitation on the present invention.

[0065] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0066] See also Figure 1 As shown, an embodiment of the present invention provides a communication information transmission system in an electric vehicle rental process, the system comprising:

[0067] User module 10, used to obtain actual user information;

[0068] The analysis module 20 is connected to the user module 10, and is used to receive the user information, match the user information with the historical rental information database, obtain the user's historical rental information based on the matching result, analyze the historical rental information, calculate the rental credit score according to the analysis result, and determine the user's rental level based on the rental credit score;

[0069] The vehicle management module 30 is connected to the analysis module 20, and is used to receive the user rental level, match the user rental level with the preset level in the preset vehicle library, and determine the initial rental car corresponding to the preset level based on the matching result;

[0070] The adjustment module 40 is connected to the vehicle management module 30, and is used to collect the real-time status parameters of the initial rental car in real time, calculate the ratio of the abnormal status parameters in the real-time status parameters, make a preliminary judgment on the real-time status parameters based on the ratio, adjust the preset communication parameters based on the preliminary judgment result, obtain the initial communication parameters, and transmit a number of real-time status parameters based on the initial communication parameters;

[0071] The vehicle management module 30 also includes a module for receiving a plurality of the real-time status parameters, obtaining received status parameters, analyzing the plurality of received status parameters, judging the communication effect according to the analysis result, calibrating the initial communication parameters based on the communication effect judgment result, judging the degree of damage to the initial rental car based on the received status parameters, and formulating a repair strategy for the initial rental car based on the judgment result.

[0072] Specifically, the embodiment of the present invention further includes transmitting the vehicle damage degree of the initially rented car and the current rental record in the vehicle management module 30 to the analysis module 20 to update the user's historical rental information.

[0073] Specifically, the historical rental information database in the embodiment of the present invention includes a number of historical user information and a number of corresponding historical rental records;

[0074] The preset vehicle library includes user levels and their corresponding rental vehicles.

[0075] Specifically, the embodiment of the present invention provides a more accurate basis for user evaluation for the vehicle management module by setting up an analysis module for comprehensive processing of user information, including matching with the user's historical rental information, calculating the rental credit score, and determining the rental level, thereby facilitating the formulation of reasonable rental decisions. According to the user's rental level, the vehicle management module can match the initial rental car of the corresponding level from the preset vehicle library, thereby achieving optimal allocation of vehicle resources, meeting the needs of different user groups, and improving the efficiency of the rental process. By setting up an adjustment module, the real-time status parameters of the initial rental car are collected and preliminarily judged. By dynamically adjusting the preset communication parameters, the timely transmission of key information is ensured, the communication efficiency is improved, and unnecessary data transmission is reduced, thereby reducing the communication cost. The vehicle management module judges the degree of abnormality of the initial rental car based on the received real-time status parameters, and formulates a repair strategy accordingly, thereby reducing vehicle failures and improving the stability of communication during the rental of electric vehicles.

[0076] See also Figure 2 As shown, the analysis module 20 includes:

[0077] A matching unit 21 is used to match the actual user information with the historical user information in the historical rental information database, and obtain the historical rental record according to the matching result, wherein the historical rental record includes the historical rental duration, the historical rental number and the historical vehicle damage degree;

[0078] The rental grade determination unit 22 is connected to the matching unit 21, and is used to calculate the rental credit score based on the historical rental duration, the historical rental number and the historical vehicle damage degree, compare the rental credit score with a preset credit score range, and determine the user rental grade based on the comparison result.

[0079] Specifically, the embodiment of the present invention provides an accurate basis for determining the user's rental level by setting a matching unit to accurately match the actual user information with the historical user information in the historical rental information database, thereby making the evaluation of the rental level more accurate and avoiding misjudgment caused by inaccurate information. By setting a rental level determination unit to quantify the user's rental credit score through historical rental duration, historical rental times and historical vehicle damage degree, the user's rental behavior and credit status are comprehensively reflected, and the rationality of the rental level determination is improved. By comparing the rental credit score with the preset credit score range, the division of the rental level is made clearer and more specific, which helps the vehicle management module to formulate more reasonable vehicle allocation and management parameters according to the rental level, thereby improving the efficiency of the car rental process.

[0080] Specifically, the rental level determination unit includes:

[0081] A duration calculation subunit, used to calculate a duration rental credit score based on the historical rental duration, wherein the duration rental credit score is proportional to the historical rental duration;

[0082] A times calculation subunit, used to calculate a times rental credit score based on the historical times of rentals, wherein the times rental credit score is proportional to the historical times of rentals;

[0083] A damage calculation subunit, used to calculate a damage rental credit score based on the historical vehicle damage degree, wherein the damage rental damage degree calculation subunit credit score is inversely proportional to the historical vehicle damage degree;

[0084] a credit score calculation subunit, connected to the duration calculation subunit, the number calculation subunit and the damage calculation subunit, for summing up the duration rental credit score, the number rental credit score and the damage rental credit score to obtain the rental credit score;

[0085] The grade determination subunit is connected to the credit score calculation subunit, and is used to compare the rental credit score with a preset credit score range, and determine the user rental grade based on the comparison result.

[0086] Specifically, a calculation method of the time-based rental credit score in the embodiment of the present invention is: time-based rental credit score = (historical rental time / average rental time) × credit score base, wherein the average rental time is obtained by calculating the average of several historical rental times, and the credit score base is 1;

[0087] One way to calculate the number of rental credit points is: number of rental credit points = (historical rental times / average rental times) × credit score base, wherein the average number of rentals is obtained by calculating the average of several historical rental times, and the credit score base is 1;

[0088] One calculation method of the damaged rental credit score is: damaged rental credit score = credit score base - (vehicle damage repair cost - average repair cost) / average repair cost, wherein the average repair cost is obtained by calculating the average of several historical repair costs, and the credit score base is 1;

[0089] One way to calculate the rental credit score is: rental credit score = duration rental credit score + number of rental credit scores + damage rental credit score.

[0090] Specifically, the preset credit score range of the embodiment of the present invention is 3±0.5. When the historical rental duration is equal to the average rental duration, the historical rental times are equal to the average rental times, and the vehicle damage repair cost is equal to the average repair cost, the rental credit score is 3;

[0091] When the rental credit score is less than the preset credit score range, the user rental level is level 1;

[0092] When the rental credit score is equal to the preset credit score range, the user rental level is level 2;

[0093] When the rental credit score is greater than the preset credit score range, the user rental level is level 3.

[0094] Specifically, the embodiment of the present invention conducts a multi-dimensional evaluation by comprehensively considering the historical rental duration, the historical number of rentals and the historical degree of vehicle damage, so as to more accurately reflect the user's rental behavior and credit status and avoid the one-sidedness brought by the single indicator evaluation. The duration rental credit score is proportional to the rental duration, which quantifies the user's rental behavior. The number rental credit score is proportional to the number of rentals, which reflects the user's rental activity. The damage rental credit score is inversely proportional to the degree of vehicle damage, which quantifies the user's car rental behavior. The rental credit score is calculated based on the above, so that the calculation result is comprehensive and accurate. By comparing the rental credit score with the preset credit score range, the level determination subunit flexibly divides the user's rental level to achieve refined management of the user's rental behavior.

[0095] See also Figure 3As shown, the adjustment module 40 includes:

[0096] A parameter collection unit 41 is used to collect real-time status parameters of the initial rental car, wherein the real-time status parameters include battery consumption rate and vehicle driving trajectory;

[0097] an identification unit 42, connected to the parameter acquisition unit 41, for identifying an abnormal consumption rate in the battery consumption rate and an abnormal trajectory in the vehicle driving trajectory;

[0098] a ratio comparison unit 43, connected to the identification unit 42, for respectively determining the proportion of the abnormal consumption rate and the abnormal trajectory, determining an actual ratio based on the proportion determination result, and comparing the actual ratio with a preset ratio to obtain a ratio comparison result;

[0099] The parameter adjustment unit 44 is connected to the ratio comparison unit 43 and is used to adjust the preset communication parameters according to the ratio comparison result to obtain the initial communication parameters.

[0100] Specifically, the battery consumption rate in the embodiment of the present invention can be calculated and obtained by real-time detection of the change in the power value per unit time;

[0101] The vehicle driving trajectory can be formed by real-time detection of the position coordinates of the initial rental car and drawing the vehicle driving trajectory from a plurality of position coordinates.

[0102] Specifically, the ratio comparison unit described in the embodiment of the present invention includes:

[0103] a ratio calculation subunit, configured to calculate a ratio of the number of the abnormal consumption rates to the number of the battery consumption rates to obtain a first ratio, calculate a ratio of the length of the abnormal trajectory to the length of the vehicle driving trajectory to obtain a second ratio, and add the first ratio to the second ratio to obtain the actual ratio;

[0104] The comparison subunit is connected to the ratio calculation subunit and is used to compare the actual ratio with a preset ratio range to obtain a ratio comparison result.

[0105] Specifically, the preset ratio range described in the embodiment of the present invention is that the first ratio is 1 / 4, the second ratio is 1 / 4 corresponding to the ratio 1 / 2 to the first ratio is 1 / 3, and the second ratio is 1 / 3 corresponding to the ratio 2 / 3.

[0106] Specifically, the embodiment of the present invention sets the parameter collection unit to collect the real-time status parameters of the initial rental car in real time, promptly discovers and responds to abnormal conditions in the operation of the vehicle, thereby preventing potential safety problems and performance degradation; sets the identification unit to accurately identify abnormal consumption rates in the battery consumption rate and abnormal trajectories in the vehicle's driving trajectory, which helps to reduce false alarms and missed alarms and improve the accuracy and reliability of fault detection; sets the ratio comparison unit to compare the proportion of abnormal consumption rates and abnormal trajectories with a preset ratio, thereby intelligently determining whether the vehicle status deviates from the normal range and making decisions accordingly, thereby helping to improve communication efficiency and stability; sets the parameter adjustment unit to adjust the preset communication parameters according to the ratio comparison results; and the dynamic adjustment enables the adjustment module to cope with different communication environments and vehicle conditions, thereby ensuring smooth and effective communication, thereby improving the stability of communication during the electric vehicle rental process.

[0107] Specifically, the identification unit includes:

[0108] A rate identification subunit, used to compare the battery consumption rate with a preset rate range, mark the battery consumption rate that is not within the preset rate range according to the comparison result, and obtain the abnormal consumption rate;

[0109] The trajectory recognition subunit is used to compare the vehicle driving trajectory with the preset driving trajectory, calculate the actual deviation based on the comparison result, compare the actual deviation with the preset deviation, mark the driving trajectory corresponding to the actual deviation greater than the preset deviation according to the comparison result, and obtain the abnormal trajectory.

[0110] Specifically, the preset rate range in the embodiment of the present invention is from the minimum consumption rate to the maximum consumption rate of the initial rental car during the historical normal operation;

[0111] The preset driving trajectory is a driving trajectory generated by navigation software based on the user's driving starting point and driving end point;

[0112] The preset deviation is 30%.

[0113] Specifically, the embodiment of the present invention sets a rate identification subunit to compare with a preset rate range to quickly find out the abnormal consumption rate that does not conform to the normal battery consumption pattern, thereby prompting the driver to pay attention to the battery usage and avoid excessive battery consumption or damage. By setting a trajectory identification subunit, the abnormal part of the actual driving trajectory is identified by comparison with the preset driving trajectory. By comparing the actual deviation with the preset deviation, the rationality of the driving trajectory is more accurately judged, thereby ensuring driving safety.

[0114] Specifically, the trajectory recognition subunit includes:

[0115] A segmentation block is used to segment the vehicle driving trajectory according to a preset time interval to obtain a plurality of trajectory segments;

[0116] a deviation calculation block, connected to the segmentation block, for calculating an actual deviation between any of the trajectory segments and a preset trajectory segment of a preset driving trajectory in a corresponding time period;

[0117] an abnormal marking block, connected to the deviation calculation block, for marking the trajectory segment where the actual deviation is greater than the preset deviation, to obtain an abnormal trajectory segment;

[0118] The merging processing block is connected to the abnormal marking block and is used to merge the continuously marked abnormal trajectory segments to obtain the abnormal trajectory.

[0119] Specifically, the preset time interval described in the embodiment of the present invention can be set according to the driving speed of the electric vehicle and the complexity of the driving environment. For example, when driving on a city road, the preset time interval can be set to 1 minute, and when driving on a highway, the preset time interval can be set to 3 minutes.

[0120] Specifically, in an embodiment of the present invention, the actual deviation amount between the trajectory segment and the preset trajectory segment in the corresponding time period can be calculated by calculating the deviation distance and deviation angle between the trajectory segment and the preset trajectory segment, and the actual deviation amount is comprehensively calculated based on the deviation distance and deviation angle, wherein the actual deviation amount=offset distance / preset offset distance+offset angle / preset offset angle, wherein the preset offset distance is the maximum acceptable offset distance set in the preset driving trajectory, and the preset offset angle is the maximum acceptable offset angle in the preset driving trajectory.

[0121] Specifically, the embodiment of the present invention can reasonably segment the vehicle driving trajectory by setting the segmentation block, so as to facilitate the subsequent refined analysis and processing of each trajectory segment. The actual deviation amount is calculated by the deviation calculation block, so as to accurately quantify the degree of deviation between the trajectory segment and the preset driving trajectory. The abnormal marking block and the merging processing block can mark and merge the trajectory segments with abnormalities, so as to obtain a complete abnormal trajectory, which is helpful for the subsequent in-depth analysis and processing of the abnormal trajectory.

[0122] Specifically, the parameter adjustment unit includes:

[0123] A coefficient calculation subunit, used for calculating an adjustment coefficient according to the ratio comparison result;

[0124] a parameter determination subunit, connected to the coefficient calculation subunit, for adjusting the preset communication parameters based on the adjustment coefficients to obtain initial communication parameters;

[0125] The preset communication parameters include a preset transmission frequency and a preset transmission power.

[0126] Specifically, the adjustment coefficient calculation subunit described in the embodiment of the present invention can calculate the adjustment coefficient based on the difference between the actual ratio and the preset ratio range. The larger the difference, the larger the adjustment coefficient. For example, when the actual ratio is greater than the upper limit value of the preset ratio range, the adjustment coefficient can be set to 1.2; when the actual ratio is less than or equal to the preset ratio range, the adjustment coefficient remains at 1.

[0127] Specifically, the preset communication parameters in the embodiment of the present invention are set based on historical communication parameters.

[0128] Specifically, the embodiment of the present invention can dynamically calculate the adjustment coefficient according to the ratio comparison result by setting the coefficient calculation subunit, thereby ensuring that the communication parameters can be adjusted according to the actual vehicle state. By adjusting the preset communication parameters based on the adjustment coefficient through the parameter determination subunit, the initial communication parameters adapted to the current vehicle state can be obtained, thereby realizing dynamic optimization of the communication parameters, helping to improve the efficiency and stability of communication, effectively responding to different communication environments and vehicle states, and ensuring smooth and effective communication during the electric vehicle rental process.

[0129] Specifically, the vehicle management module also includes:

[0130] A parameter analysis unit, configured to calculate the transmission duration based on the sending timestamp and receiving timestamp of the real-time state parameter, compare the receiving state parameter with the real-time state parameter, and calculate the data integrity and bit error rate based on the comparison result;

[0131] an effect judgment unit, connected to the parameter analysis unit, for calculating a communication effect evaluation value based on the actual transmission duration, the actual data integrity and the actual bit error rate;

[0132] a parameter calibration unit, connected to the effect judgment unit, for calibrating the initial communication parameters based on the communication effect evaluation value;

[0133] The repair unit is used to judge the degree of damage of the initial rental car based on the received state parameters, and formulate a repair strategy for the initial rental car based on the judgment result.

[0134] Specifically, the embodiment of the present invention sets the parameter analysis unit to accurately calculate the transmission duration, data integrity and bit error rate of the real-time status parameters during the transmission process, thereby comprehensively evaluating the communication effect. The effect judgment unit calculates the communication effect evaluation value based on the actual transmission duration, the actual data integrity and the actual bit error rate, which intuitively reflects the actual effect of the current communication parameters. The parameter calibration unit calibrates the initial communication parameters according to the communication effect evaluation value. When the communication effect evaluation value is lower than the preset threshold, the parameter calibration unit will trigger the adjustment of the communication parameters to ensure that the communication of the electric vehicle always remains in the best state during the rental process. The repair unit judges the degree of damage to the rental car based on the received status parameters. Through analysis and evaluation, it can accurately formulate a repair strategy to ensure that the rental car returns to normal in a short time, thereby improving the reliability of the electric vehicle rental process.

[0135] Specifically, the parameter analysis unit includes:

[0136] A timestamp calculation subunit, used to calculate the difference between the sending timestamp and the receiving timestamp to obtain the actual transmission duration;

[0137] a complete calculation subunit, for comparing the received state parameter with the real-time state parameter item by item, counting the number of missing parameter items, and calculating the actual data integrity based on the ratio of the number of missing parameter items to the total number of parameter items;

[0138] The bit error rate calculation subunit is used to compare the receiving state parameter with the real-time state parameter item by item, count the number of erroneous parameter items, and calculate the actual bit error rate based on the ratio of the number of erroneous parameter items to the total number of parameter items.

[0139] Specifically, the effect determination unit described in the embodiment of the present invention includes:

[0140] A duration scoring subunit, used to calculate a duration score based on the comparison between the actual transmission duration and the preset transmission duration;

[0141] An integrity scoring subunit, configured to calculate an integrity score based on the actual data integrity and the preset data integrity;

[0142] A bit error rate scoring subunit, used to calculate a bit error rate score based on the comparison between the actual bit error rate and a preset bit error rate;

[0143] The effect score calculation subunit is used to perform weighted summation on the duration score, the integrity score and the bit error rate score to obtain a communication effect evaluation value.

[0144] Specifically, the preset transmission duration described in the embodiment of the present invention is the average transmission duration in the historical communication data; the preset data integrity is the average data integrity calculated based on the comparison results of the receiving state parameters and the real-time state parameters in the historical communication data; the preset bit error rate is the average bit error rate calculated based on the comparison results of the receiving state parameters and the real-time state parameters in the historical communication data.

[0145] Specifically, the communication effect evaluation value described in the embodiment of the present invention = 0.2× duration score + 0.4× integrity score + 0.4× bit error rate score.

[0146] Specifically, the parameter calibration unit described in the embodiment of the present invention includes:

[0147] A threshold setting subunit, used to set a communication effect evaluation threshold;

[0148] a parameter determination subunit, connected to the threshold setting subunit, for comparing the communication effect evaluation value with the communication effect evaluation threshold, and determining whether it is necessary to calibrate the initial communication parameters according to the comparison result;

[0149] The parameter calibration subunit is connected to the parameter judgment subunit, and is used to adjust the initial communication parameters based on the communication effect evaluation value to generate new communication parameters when the judgment result is that the initial communication parameters need to be calibrated.

[0150] Specifically, the communication effect evaluation threshold described in the embodiment of the present invention can be set according to the real-time demand for communication information transmission during the electric vehicle rental process. For example, in application scenarios requiring high real-time performance and high reliability, the communication effect evaluation threshold is set to 0.6 to ensure the stability and reliability of communication information transmission.

[0151] Specifically, the repair unit described in the embodiment of the present invention includes:

[0152] A fault detection subunit, used for detecting whether the initial rental car has a fault according to the received state parameter;

[0153] a degree determination subunit, connected to the fault detection subunit, for determining the degree of damage to the vehicle based on the proportion of abnormal parameters of the received state parameters;

[0154] a repair strategy generating subunit, connected to the degree determining subunit, for generating a corresponding repair strategy based on the degree of damage to the vehicle;

[0155] A repair execution subunit, connected to the repair strategy generation subunit, for executing the repair strategy to repair the initial rental car;

[0156] Among them, the receiving state parameters include receiving battery consumption rate and receiving vehicle driving trajectory.

[0157] Specifically, the fault classification subunit described in the embodiment of the present invention includes:

[0158] The rate determination block is used to mark the receiving battery consumption rate that exceeds the preset rate range, identify the marked battery consumption rate corresponding to the largest proportion among several marked battery consumption rates, calculate the difference between the marked battery consumption rate and the receiving battery consumption rate, and obtain the rate difference;

[0159] A trajectory judgment block, used to determine an abnormal trajectory based on a comparison result between the received vehicle driving trajectory and the preset driving trajectory, determine a difference between a length of the received vehicle driving trajectory and a length of the abnormal trajectory, and obtain a trajectory difference;

[0160] The extent determination block is used to calculate the sum based on the ratio of the speed difference to the median of the preset speed range and the ratio of the trajectory difference to the preset driving trajectory length, and determine the vehicle damage extent based on the sum.

[0161] Specifically, the fault detection subunit described in the embodiment of the present invention can detect whether the initial rental car has a fault by comparing the received state parameters with the preset normal operating parameter range. When the received state parameters exceed the preset normal operating parameter range, it can be determined that the initial rental car has a fault. The fault classification subunit determines that the fault is a minor fault when the sum is less than the first preset sum, the fault is a medium fault when the sum is greater than the first preset sum and less than the second preset sum, and the fault is a serious fault when the sum is greater than the second preset sum. The repair strategy generation subunit can generate a corresponding repair strategy based on the degree of the fault, such as determining the faulty component and replacing the faulty component when the fault is a minor fault, adjusting the operating parameters of the rental vehicle when the fault is a medium fault, and replacing the rental vehicle when the fault is a serious fault. The repair execution subunit can execute the repair strategy to repair the initial rental car to ensure its normal operation.

[0162] Specifically, the first preset sum in the embodiment of the present invention is 0.4;

[0163] The second preset sum is 1.

[0164] See also Figure 4 As shown, an embodiment of the present invention also provides a method for a communication information transmission system during an electric vehicle rental process, the method comprising:

[0165] Step S100, the user terminal obtains actual user information;

[0166] Step S200: The cloud platform server receives the user information, matches the user information with the historical rental information database, obtains the user's historical rental information based on the matching result, analyzes the historical rental information, calculates the rental credit score based on the analysis result, and determines the user's rental level based on the rental credit score;

[0167] Step S300, the rental vehicle management terminal receives the user rental level, matches the user rental level with the preset levels in the preset vehicle library, and determines the initial rental car corresponding to the preset level based on the matching result;

[0168] Step S400, the vehicle terminal collects the real-time status parameters of the initial rental car in real time, calculates the ratio of the abnormal status parameters in the real-time status parameters, makes a preliminary judgment on the real-time status parameters based on the ratio, adjusts the preset communication parameters based on the preliminary judgment result, obtains the initial communication parameters, and transmits a number of real-time status parameters based on the initial communication parameters;

[0169] Step S500, the rental vehicle management terminal receives the real-time status parameters, obtains the received status parameters, analyzes the received status parameters, determines the communication effect according to the analysis results, calibrates the initial communication parameters based on the communication effect determination results, determines the degree of damage to the initial rental car based on the received status parameters, and formulates a repair strategy for the initial rental car based on the determination results.

[0170] Specifically, a method of a communication information transmission system during electric vehicle rental provided by an embodiment of the present invention can be applied to the above-mentioned communication information transmission system during electric vehicle rental to achieve the same technical effect, which will not be repeated here.

[0171] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0172] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A communication information transmission system in the process of electric vehicle rental, characterized in that: include: User module, used to obtain actual user information; An analysis module, connected to the user module, for receiving the user information, matching the user information with the historical rental information database, obtaining the user's historical rental information based on the matching result, analyzing the historical rental information, calculating the rental credit score based on the analysis result, and determining the user's rental level based on the rental credit score; A vehicle management module, connected to the analysis module, for receiving the user rental level, matching the user rental level with a preset level in a preset vehicle library, and determining an initial rental car corresponding to the preset level based on the matching result; an adjustment module, connected to the vehicle management module, for collecting the real-time status parameters of the initial rental car in real time, calculating the ratio of the abnormal status parameters in the real-time status parameters, making a preliminary judgment on the real-time status parameters based on the ratio, adjusting the preset communication parameters based on the preliminary judgment result, obtaining the initial communication parameters, and transmitting a plurality of real-time status parameters based on the initial communication parameters; The vehicle management module also includes receiving a plurality of the real-time status parameters, acquiring the received status parameters, analyzing the plurality of received status parameters, judging the communication effect according to the analysis result, calibrating the initial communication parameters based on the communication effect judgment result, judging the degree of damage to the initial rental car based on the received status parameters, and formulating a repair strategy for the initial rental car based on the judgment result.

2. The communication information transmission system in the electric vehicle rental process according to claim 1 is characterized in that: The analysis module comprises: A matching unit, used to match the actual user information with the historical user information in the historical rental information database, and obtain historical rental records according to the matching results, wherein the historical rental records include historical rental duration, historical rental times, and historical vehicle damage degree; A rental grade determination unit is connected to the matching unit, and is used to calculate a rental credit score based on the historical rental duration, the historical number of rentals, and the historical degree of vehicle damage, compare the rental credit score with a preset credit score range, and determine the user rental grade based on the comparison result.

3. The communication information transmission system during electric vehicle rental according to claim 2 is characterized in that: The rental level determination unit includes: A duration calculation subunit, used to calculate a duration rental credit score based on the historical rental duration, wherein the duration rental credit score is proportional to the historical rental duration; A times calculation subunit, used to calculate a times rental credit score based on the historical times of rentals, wherein the times rental credit score is proportional to the historical times of rentals; A damage calculation subunit, used to calculate a damage rental credit score based on the historical vehicle damage degree, wherein the damage rental damage degree calculation subunit credit score is inversely proportional to the historical vehicle damage degree; a credit score calculation subunit, connected to the duration calculation subunit, the number calculation subunit and the damage calculation subunit, for summing up the duration rental credit score, the number rental credit score and the damage rental credit score to obtain the rental credit score; The grade determination subunit is connected to the credit score calculation subunit, and is used to compare the rental credit score with a preset credit score range, and determine the user rental grade based on the comparison result.

4. The communication information transmission system during electric vehicle rental according to claim 3 is characterized in that: The adjustment module comprises: A parameter collection unit, used for collecting real-time status parameters of the initial rental car, wherein the real-time status parameters include battery consumption rate and vehicle driving trajectory; an identification unit, connected to the parameter acquisition unit, for identifying an abnormal consumption rate in the battery consumption rate and an abnormal trajectory in the vehicle driving trajectory; a ratio comparison unit, connected to the identification unit, for respectively determining the proportions of the abnormal consumption rate and the abnormal trajectory, determining an actual ratio based on the proportion determination result, and comparing the actual ratio with a preset ratio to obtain a ratio comparison result; A parameter adjustment unit is connected to the ratio comparison unit and is used to adjust the preset communication parameters according to the ratio comparison result to obtain the initial communication parameters.

5. The communication information transmission system during electric vehicle rental according to claim 4 is characterized in that: The identification unit comprises: A rate identification subunit, used to compare the battery consumption rate with a preset rate range, mark the battery consumption rate that is not within the preset rate range according to the comparison result, and obtain the abnormal consumption rate; The trajectory recognition subunit is used to compare the vehicle driving trajectory with the preset driving trajectory, calculate the actual deviation based on the comparison result, compare the actual deviation with the preset deviation, mark the driving trajectory corresponding to the actual deviation being greater than the preset deviation according to the comparison result, and obtain the abnormal trajectory.

6. The communication information transmission system during electric vehicle rental according to claim 5, characterized in that: The trajectory recognition subunit comprises: A segmentation block is used to segment the vehicle driving trajectory according to a preset time interval to obtain a plurality of trajectory segments; a deviation calculation block, connected to the segmentation block, for calculating an actual deviation between any of the trajectory segments and a preset trajectory segment of a preset driving trajectory in a corresponding time period; an abnormal marking block, connected to the deviation calculation block, for marking the trajectory segment where the actual deviation is greater than the preset deviation, to obtain an abnormal trajectory segment; The merging processing block is connected to the abnormal marking block and is used to merge the continuously marked abnormal trajectory segments to obtain the abnormal trajectory.

7. The communication information transmission system during electric vehicle rental according to claim 6, characterized in that: The parameter adjustment unit comprises: A coefficient calculation subunit, used for calculating an adjustment coefficient according to the ratio comparison result; a parameter determination subunit, connected to the coefficient calculation subunit, for adjusting the preset communication parameters based on the adjustment coefficients to obtain initial communication parameters; The preset communication parameters include a preset transmission frequency and a preset transmission power.

8. The communication information transmission system during electric vehicle rental according to claim 7, characterized in that: The vehicle management module also includes: A parameter analysis unit, configured to calculate an actual transmission duration based on a sending timestamp and a receiving timestamp of the real-time state parameter, compare the receiving state parameter with the real-time state parameter, and calculate an actual data integrity and an actual bit error rate based on the comparison result; an effect judgment unit, connected to the parameter analysis unit, for calculating a communication effect evaluation value based on the actual transmission duration, the actual data integrity and the actual bit error rate; a parameter calibration unit, connected to the effect judgment unit, for calibrating the initial communication parameter based on the communication effect evaluation value; The repair unit is used to judge the degree of damage of the initial rental car based on the received state parameters, and formulate a repair strategy for the initial rental car based on the judgment result.

9. The communication information transmission system during electric vehicle rental according to claim 8, characterized in that: The parameter analysis unit comprises: A timestamp calculation subunit, used to calculate the difference between the sending timestamp and the receiving timestamp to obtain the actual transmission duration; a complete calculation subunit, for comparing the received state parameter with the real-time state parameter item by item, counting the number of missing parameter items, and calculating the actual data integrity based on the ratio of the number of missing parameter items to the total number of parameter items; The bit error rate calculation subunit is used to compare the receiving state parameter with the real-time state parameter item by item, count the number of erroneous parameter items, and calculate the actual bit error rate based on the ratio of the number of erroneous parameter items to the total number of parameter items.

10. A method for applying the communication information transmission system in the electric vehicle rental process as described in any one of claims 1 to 9, characterized in that: include: The user end obtains actual user information; The cloud platform server receives the user information, matches the user information with the historical rental information database, obtains the user's historical rental information based on the matching result, analyzes the historical rental information, calculates the rental credit score based on the analysis result, and determines the user's rental level based on the rental credit score; The rental vehicle management terminal receives the user rental level, matches the user rental level with a preset level in a preset vehicle library, and determines an initial rental car corresponding to the preset level based on the matching result; The vehicle terminal collects the real-time status parameters of the initial rental car in real time, calculates the ratio of the abnormal status parameters in the real-time status parameters, makes a preliminary judgment on the real-time status parameters based on the ratio, adjusts the preset communication parameters based on the preliminary judgment result, obtains the initial communication parameters, and transmits a number of real-time status parameters based on the initial communication parameters; The rental vehicle management terminal receives the real-time status parameters, obtains the received status parameters, analyzes the received status parameters, judges the communication effect according to the analysis results, calibrates the initial communication parameters based on the communication effect judgment results, judges the degree of damage to the initial rental car based on the received status parameters, and formulates a repair strategy for the initial rental car based on the judgment results.

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