A vehicle maintenance reminding method, device and electronic equipment

Abstract

The application discloses a vehicle maintenance reminding method and device and electronic equipment, and relates to the technical field of vehicle control. The type of a target vehicle is identified to determine whether the target vehicle is a hybrid vehicle or another type of vehicle. When it is determined that the target vehicle is a hybrid vehicle, the accumulated fuel mileage of the target vehicle is updated according to a preset adjustment rule to obtain the latest accumulated fuel mileage, and then it is determined whether the target vehicle needs maintenance and whether a maintenance reminder of the target vehicle is sent according to the latest accumulated fuel mileage. When it is determined that maintenance is needed, a maintenance reminder that maintenance is needed is sent to a user or the target vehicle. The user can know the items that need maintenance and the corresponding maintenance locations in time, the vehicle can be maintained in time, the vehicle can be kept in a better working state, and the service life and safety of the vehicle are improved.

Description

Technical Field

[0001] This invention relates to the field of vehicle control technology, and in particular to a vehicle maintenance reminder method, device, and electronic device. Background Technology

[0002] Typically, users are unaware of their vehicle's specific condition during use and cannot determine whether maintenance is needed or what maintenance is required. Although the vehicle maintenance manual provided with the car purchase includes relevant maintenance information, users rarely pay attention to it in practice, leading to improper maintenance practices such as exceeding maintenance deadlines. This is especially true with the increase in hybrid vehicles, which have even higher maintenance requirements. Improper maintenance can cause significant damage to the vehicle, greatly reducing its lifespan and increasing safety hazards. Summary of the Invention

[0003] This invention provides a vehicle maintenance reminder method, device, and electronic device that can provide timely reminders for vehicle maintenance and offer corresponding maintenance locations and items.

[0004] To achieve the above objectives, the present invention provides the following technical solution:

[0005] A vehicle maintenance reminder method according to a specific embodiment of the present invention includes:

[0006] Identify the vehicle model of the target vehicle;

[0007] If the target vehicle is a hybrid vehicle, the cumulative fuel mileage of the target vehicle is updated based on a preset adjustment rule;

[0008] Determine whether to send a maintenance reminder based on the updated cumulative fuel mileage;

[0009] If so, then send the aforementioned maintenance reminder.

[0010] Furthermore, if the target vehicle is a hybrid vehicle, the cumulative fuel mileage of the target vehicle is updated based on a preset adjustment rule, including:

[0011] Obtain the target vehicle's daily pure electric mileage, daily fuel mileage, and daily total mileage;

[0012] Based on the pure electric driving mileage, the fuel driving mileage and the total driving mileage of the day, the fuel driving mileage of the day is calibrated;

[0013] The cumulative fuel mileage is updated based on the calibrated daily fuel mileage.

[0014] Furthermore, the vehicle maintenance reminder method also includes:

[0015] Obtain the historical driving trajectory of the target vehicle;

[0016] Based on the historical driving trajectory, a recommended maintenance location is determined and sent to the user.

[0017] Furthermore, the vehicle maintenance reminder method also includes:

[0018] Based on the degree of overlap between the current driving trajectory and the historical driving trajectory, the historical driving trajectory of the current driving trajectory is determined;

[0019] Recommended maintenance locations are determined based on the distance between each maintenance location and the current driving history trajectory.

[0020] Furthermore, the vehicle maintenance reminder method also includes:

[0021] The recommended maintenance time period is determined based on the working hours of the recommended maintenance location and the current number of people in the queue.

[0022] Further, the calibration of the daily fuel mileage based on the daily pure electric mileage, the daily fuel mileage, and the daily total mileage includes:

[0023] Based on the pure electric driving mileage, fuel driving mileage and total driving mileage of the day, a mileage adjustment coefficient is determined;

[0024] The daily fuel mileage is calibrated based on the mileage adjustment factor.

[0025] Furthermore, determining a recommended maintenance location based on the historical driving trajectory and sending the recommended maintenance location to the user includes:

[0026] The historical driving trajectory is preprocessed to remove trajectory data that was not during working hours or under preset road conditions, resulting in processed trajectory data.

[0027] The number of times the same route appears in the processed trajectory data is counted;

[0028] The recommended maintenance locations are selected from trips with a statistical frequency greater than the preset frequency.

[0029] Furthermore, the step of selecting the recommended maintenance location from trips with a statistical frequency greater than a preset number includes:

[0030] The weight value of each trajectory is obtained by calculating the probability of each trajectory appearing and the distance to the maintenance location in each trajectory based on the weighted random function.

[0031] The maintenance location in the trajectory corresponding to the maximum weight value is selected as the recommended maintenance location.

[0032] A vehicle maintenance reminder device according to a specific embodiment of the present invention includes:

[0033] The vehicle model recognition module is used to identify the vehicle model of the target vehicle.

[0034] The mileage update module is used to update the cumulative fuel mileage of the target vehicle based on a preset adjustment rule if the target vehicle is a hybrid vehicle.

[0035] The maintenance determination module is used to determine whether to send a maintenance reminder based on the updated cumulative fuel mileage; and

[0036] The maintenance reminder module is used to send the maintenance reminder if the condition is met.

[0037] An electronic device according to a specific embodiment of the present invention includes: a memory and a processor;

[0038] The memory is used to store programs;

[0039] The processor is used to execute the program to implement the various steps of the vehicle maintenance reminder method as described above.

[0040] As can be seen from the above technical solution, this invention discloses a vehicle maintenance reminder method. It can identify whether a target vehicle is a hybrid vehicle or another type of vehicle by recognizing its model. When the target vehicle is determined to be a hybrid vehicle, the accumulated fuel mileage of the target vehicle can be updated according to a preset adjustment rule to obtain the latest accumulated fuel mileage. Then, based on the latest accumulated fuel mileage, it is determined whether the target vehicle needs maintenance and whether to send a maintenance reminder accordingly. If maintenance is determined to be required, a maintenance reminder can be sent to the user or the target vehicle. This allows the user to be promptly informed of the maintenance items and corresponding maintenance locations, ensuring timely vehicle maintenance, maintaining optimal vehicle operating condition, and improving vehicle lifespan and safety. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 A flowchart of a vehicle maintenance reminder method provided in an embodiment of the present invention;

[0043] Figure 2 This is a structural diagram of the vehicle maintenance reminder device provided in an embodiment of the present invention;

[0044] Figure 3 This is a structural diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] Reference Figure 1 As shown, an embodiment of the present invention provides a vehicle maintenance reminder method, which may include the following steps:

[0047] 101. Identify the vehicle model of the target vehicle.

[0048] Specifically, through cloud platforms connected to various dealerships and 4S stores, and with authorization from the target vehicle user, the vehicle model can be determined using unique identifiers such as the vehicle's license plate number and chassis number. For example, when determining the model based on the license plate number, the third letter of the license plate can be used to differentiate the vehicle model according to the current hybrid vehicle license plate generation rules, such as F for hybrid models and D for pure electric models. The model can also be differentiated based on the vehicle's unique identification, such as the chassis number at the time of manufacture. Furthermore, maintenance records can be queried to obtain the most recent maintenance record and historical maintenance records. These records may include the maintenance time, vehicle mileage at the time of maintenance, and maintenance items (such as the type of engine oil used).

[0049] It is understood that those skilled in the art can also use other vehicle information to determine the vehicle model, and no restrictions are imposed here.

[0050] 102. If the target vehicle is a hybrid vehicle, the cumulative fuel mileage of the target vehicle will be updated based on the preset adjustment rules.

[0051] Specifically, operators can pre-enter vehicle maintenance manuals, which record information such as vehicle brand, model, number of maintenance services, maintenance intervals, maintenance mileage, and the type and grade of engine oil used (different oils have different maintenance times and mileages). Based on this information, a time- and mileage-based vehicle maintenance strategy can be generated. This strategy can generate maintenance reminders based on both vehicle usage time and mileage. These reminders can include the corresponding reminder time and mileage for each maintenance stage, as well as the maintenance items required. Generally, vehicle maintenance is based on whichever comes first: vehicle usage time or mileage. Each maintenance stage has corresponding maintenance items, such as changing the engine oil every 5,000 or 10,000 kilometers, or replacing spark plugs at 30,000 kilometers, depending on the type of engine oil used. By comparing the maintenance time, mileage, and items recorded in the most recent maintenance record with the corresponding maintenance strategy, the next required maintenance items, the time and mileage until the next maintenance, and whether it has been overdue can be determined.

[0052] Considering that hybrid vehicles may operate in both pure electric and gasoline modes, when updating the cumulative fuel mileage of a hybrid vehicle, it is necessary to take into account the impact of switching or using both pure electric and gasoline modes on the engine's fuel mileage. The cumulative fuel mileage of the target vehicle can be updated daily. Based on the characteristics of hybrid vehicles, the daily fuel mileage can be calibrated according to preset adjustment rules to obtain a more accurate fuel mileage before updating the cumulative fuel mileage, ensuring the accuracy of maintenance mileage updates.

[0053] When the identified target vehicle is a gasoline-powered vehicle or a pure electric vehicle, the maintenance mileage, maintenance time, and corresponding maintenance items and costs can be determined by directly comparing the fuel mileage and pure electric mileage obtained from the vehicle side, based on the maintenance manual. This will determine whether to send the corresponding maintenance reminder message.

[0054] 103. Determine whether to send a maintenance reminder based on the updated cumulative fuel mileage.

[0055] By comparing the next maintenance reminder time and mileage with the target vehicle's current accumulated fuel mileage obtained through the vehicle's connected terminal (T-BOX), it is determined whether the target vehicle has not yet reached the maintenance reminder time or mileage, or whether the current time or mileage has exceeded the stage for the next maintenance. If both the current time and the current accumulated fuel mileage exceed the next maintenance reminder time and mileage, meaning the target vehicle does not yet require maintenance, no reminder will be issued.

[0056] 104. If so, a maintenance reminder will be sent.

[0057] Specifically, when the reminder time or mileage is reached, or when the current time or mileage has exceeded the reminder time or mileage for the next maintenance, indicating that maintenance is overdue, the system can infer the user's most likely route and the nearest dealership, 4S store, or repair shop along that route based on the target vehicle's travel data from the current time to a preset distance. This target maintenance location and corresponding maintenance items are then pushed to the user or the target vehicle, allowing the user to know the maintenance items and corresponding costs, enabling timely maintenance and maintaining good vehicle performance and driving safety. Furthermore, by letting users know the maintenance costs in advance, they can be aware of the costs before maintenance, thus acting as a form of reverse oversight of 4S stores to detect any overcharging.

[0058] In the specific implementation process, to ensure that the target vehicle receives timely maintenance, after updating the accumulated fuel mileage daily, the updated accumulated fuel mileage is compared with the next maintenance mileage. When the difference between the updated accumulated fuel mileage and the next maintenance mileage is small, such as less than 100 kilometers, the user's next mileage can be predicted based on the user's historical driving trajectory and corresponding driving time period. For example, if the current day is a workday, and based on the user's historical driving trajectory, the next day is also a workday, and the user needs to drive to and from get off work, and the mileage for commuting will exceed the next maintenance mileage after the update, or the difference between the two will narrow to a very small amount, such as within 10 kilometers, then the user can be reminded in advance to perform timely maintenance on the current workday, thus serving as a timely reminder.

[0059] In another specific embodiment of the present invention, in the case where a user's vehicle is a newly purchased vehicle and there is no maintenance record, in order to provide timely maintenance reminders, if no maintenance record is obtained and the current total mileage of the target vehicle is not greater than a preset value, the first maintenance time and maintenance mileage in the maintenance strategy will be used as the reminder time and the mileage to be driven, respectively.

[0060] For example, if a user's vehicle has only traveled 2,000 kilometers (not exceeding the preset value of 3,000 kilometers), it can be determined that the user's vehicle is a newly purchased vehicle. The first maintenance mileage and time defined in the maintenance manual can be used as the reminder time and mileage for the first maintenance to remind the user of vehicle maintenance.

[0061] When issuing reminders, maintenance reminders, maintenance due reminders, and overdue maintenance reminders can be sent sequentially based on the relationship between the current time and the reminder time, as well as the relationship between the current mileage and the reminder mileage.

[0062] Specifically, a maintenance reminder can be sent when the current mileage is 100 to 200 kilometers before the next maintenance appointment, allowing the user sufficient time to perform the maintenance. If the user fails to perform maintenance within this period, a maintenance due date reminder can be sent when the current mileage and the next maintenance date coincide, urging the user to perform maintenance. If the user still fails to perform maintenance, causing the current mileage to exceed the next maintenance date, a maintenance overdue reminder can be sent to remind the user that maintenance is overdue and needs to be performed promptly.

[0063] It is understandable that the above reminder messages can be sent based on the relationship between the vehicle's usage date and the reminder time, or based on whichever comes first, such as the reminder mileage or the reminder time. There are no restrictions on this.

[0064] As a specific implementation of step 102 above, updating the fuel mileage of the target vehicle may specifically include the following steps:

[0065] 401. Obtain the target vehicle's daily pure electric mileage, daily fuel mileage, and daily total mileage.

[0066] 402. Based on the pure electric mileage, fuel mileage, and total mileage of the day, calibrate the fuel mileage of the day.

[0067] 403. Update the cumulative fuel mileage based on the calibrated daily fuel mileage.

[0068] Specifically, considering the increasing number of hybrid vehicles and their growing technical complexity, requiring more accurate mileage calculations, and the potential for errors in fuel mileage measurement for hybrid vehicles, a mileage adjustment coefficient can be determined first based on the day's pure electric mileage, fuel mileage, and total mileage. Then, the day's fuel mileage is calibrated using this adjustment coefficient to obtain a more accurate fuel mileage, upon which the accumulated fuel mileage is updated.

[0069] In practical implementation, to distinguish between fuel-powered driving range and pure electric driving range, the engine speed obtained from the connected terminal is used to determine whether the current vehicle's driving mode is fuel-powered or pure electric. If the engine is running (engine speed > 0), the vehicle is considered to be in engine-driven mode for the current 10 seconds. In this case, the fuel-powered driving range is calculated as current vehicle speed * 10 seconds; otherwise, the pure electric driving range is recorded as vehicle speed * 10 seconds. This calculation is performed every 10 seconds to obtain all the day's driving range data, and then compared with the overall driving range for the day to perform a difference adjustment. The specific calculation process is as follows:

[0070] P = L1 / (L2+L3);

[0071] L1 = L - L2 - L3; L represents the total mileage driven on the day, L1 represents the supplementary mileage, L2 represents the pure electric mileage driven on the day, L3 represents the fuel mileage driven on the day, and P represents the mileage adjustment coefficient;

[0072] L5 = (P+1) * L2;

[0073] L4 = (P+1)* L3;

[0074] L4 represents the calibrated daily fuel-powered mileage; L5 represents the calibrated daily pure electric mileage.

[0075] For example: the total mileage of the target vehicle on that day is calculated as 100KM, 60KM for pure electric driving and 60KM for fuel driving.

[0076] Then L1 = 100 - 60 - 60 = -20;

[0077] Then P = -1 / 6; therefore, the adjusted pure electric and fuel mileage are...

[0078] L5 = (1 - 1 / 6) * 60 = 50;

[0079] L4 = (1 - 1 / 6) * 60 = 50;

[0080] By subtracting the user's last fuel mileage from the daily fuel mileage, and also subtracting the time from the user's last service visit, the user's remaining fuel mileage and remaining service time are calculated. This calculation is performed daily. Of course, other calculation methods and intervals can also be used, which will not be elaborated here.

[0081] To facilitate maintenance for users and enable dealers and 4S stores to provide timely reminders, recommended maintenance locations can be determined based on the target vehicle's historical driving trajectory and sent to the user. This process may specifically include the following steps:

[0082] 501. Preprocess the historical driving trajectory to remove trajectory data that was not during working hours or under preset road conditions, and obtain the processed trajectory data.

[0083] 502. Count the number of times the same route appears in the processed trajectory data.

[0084] 503. Select recommended maintenance locations from trips with a statistical frequency greater than the preset frequency.

[0085] Specifically, a weighted random function can be used to calculate the probability of each trajectory and the distance to the maintenance location within each trajectory, resulting in a weight value for each trajectory. The maintenance location in the trajectory with the highest weight value is then selected as the recommended maintenance location.

[0086] For example, with the user's authorization, the system can obtain the user's recent or periodic travel data, infer the nearest dealership and time period the user passed during the vehicle's use, and allow 4S stores to proactively contact the customer during this time period to complete maintenance, or push the data to the user for selection.

[0087] After obtaining all the user's trip data, remove data that is outside the dealer's maintenance time range and data of special POIs (map annotations) (such as highways).

[0088] Then count the number of occurrences of each segment of the journey (starting points that are no more than 1 kilometer apart are considered the same).

[0089] Obtain the data for the top ten itineraries and calculate their probabilities based on the frequency of occurrence. Calculate the nearest dealer for this itinerary and select the most suitable itinerary and its corresponding dealer.

[0090] A weighted random algorithm can be used to calculate the combined score of the travel data and distance. The formula for the weighted random function is as follows:

[0091] V = p × (1 / d), where V is the weight, p is the probability of taking a certain route, and d is the distance to the nearest dealer or 4S store.

[0092] If there are currently three routes, and the user's probability of taking the route and the distance to the dealer along the route are (20%, 5), (30%, 6), and (50%, 8) respectively, after calculation using the weighted random function mentioned above, the weights of the three routes are: V1 = 20 × 1 / 5 = 4, V2 = 30 × 1 / 6 = 5.

[0093] V3 = 50 × 1 / 8 = 6.25, then the dealer or 4S store corresponding to the maximum weight value of 6.25 is selected as the target maintenance location.

[0094] In addition, if a user does not have their vehicle serviced at a partner dealership or 4S store, but at another location, they can proactively contact the relevant operations personnel to adjust the maintenance strategy for the target vehicle.

[0095] In some specific embodiments of the present invention, to facilitate timely vehicle maintenance by users upon reaching the maintenance mileage, the recommended maintenance location can also be determined in the following ways:

[0096] 601. Based on the overlap between the current driving trajectory and the historical driving trajectory, determine the historical trajectory of the current driving trajectory.

[0097] 602. Based on the distance between each maintenance location and the current driving history trajectory, the recommended maintenance location is determined.

[0098] Specifically, if the current accumulated fuel mileage has reached the mileage that requires maintenance, and the user is currently driving the vehicle, and it happens to be a rest day, the user is likely to have time to perform maintenance. At this time, the user's current trajectory can be compared with the historical trajectory, and the historical trajectory can be determined based on the degree of overlap.

[0099] After determining the current driving history, recommended maintenance locations can be determined based on the distance between each maintenance location (4S stores, dealerships, etc.) and the current driving history. For example, the maintenance location closest to the user's current destination can be selected and pushed to the user or target vehicle.

[0100] At the same time, a recommended maintenance time slot can be determined based on the recommended maintenance location's operating hours and the current number of people waiting in line for maintenance. Once the user confirms that maintenance will be performed during the recommended time slot, that time slot will be reserved for the user.

[0101] To ensure users are fully aware of maintenance costs and to alleviate any distrust of maintenance providers, thus fostering a positive business environment, the system can simultaneously send users the maintenance details and associated costs along with the appointment confirmation message. This allows users to understand the expenses and dispel any concerns. Furthermore, it serves as a means of monitoring maintenance locations and preventing overcharging.

[0102] Reference Figure 2 As shown, embodiments of the present invention also provide a vehicle maintenance reminder device, which, when in operation, can implement the various steps of the above-described vehicle maintenance reminder method. The device may include:

[0103] The vehicle model recognition module 201 is used to identify the vehicle model of the target vehicle.

[0104] The mileage update module 202 is used to update the cumulative fuel mileage of the target vehicle based on a preset adjustment rule if the target vehicle is a hybrid vehicle.

[0105] The maintenance determination module 203 is used to determine whether to send a maintenance reminder based on the updated cumulative fuel mileage.

[0106] The maintenance reminder module 204 is used to send a maintenance reminder if the condition is met.

[0107] Furthermore, the mileage update module 202 is specifically used for:

[0108] Obtain the target vehicle's daily pure electric mileage, daily fuel mileage, and daily total mileage;

[0109] The fuel mileage for the day is calibrated based on the pure electric mileage, fuel mileage and total mileage for the day.

[0110] The cumulative fuel mileage is updated based on the calibrated fuel mileage for the current day.

[0111] Furthermore, the maintenance reminder module 204 is also used for:

[0112] Obtain the historical driving trajectory of the target vehicle;

[0113] Based on historical driving trajectories, recommended maintenance locations are determined and sent to users.

[0114] Furthermore, the maintenance reminder module 204 is also used for:

[0115] Based on the degree of overlap between the current driving trajectory and the historical driving trajectory, the historical driving trajectory of the current driving trajectory is determined;

[0116] Recommended maintenance locations are determined based on the distance between each maintenance location and the current driving history.

[0117] Furthermore, the maintenance reminder module 204 is also used for:

[0118] The recommended maintenance time slot is determined based on the working hours of the recommended maintenance location and the current number of people in the queue.

[0119] Furthermore, the mileage update module 202 is specifically used for:

[0120] The mileage adjustment coefficient is determined based on the pure electric mileage, fuel mileage, and total mileage of the day.

[0121] The fuel mileage for the day is calibrated based on the mileage adjustment factor.

[0122] Furthermore, the maintenance reminder module 204 is specifically used for:

[0123] The historical driving trajectory is preprocessed to remove trajectory data that was not taken during working hours or under preset road conditions, resulting in processed trajectory data.

[0124] The number of times the same route appears in the processed trajectory data is counted;

[0125] Recommended maintenance locations are selected from trips with a higher number of trips than the preset number.

[0126] Furthermore, the maintenance reminder module 204 is also specifically used for:

[0127] The weight value of each trajectory is obtained by calculating the probability of each trajectory appearing and the distance to the maintenance location in each trajectory based on the weighted random function.

[0128] The maintenance location in the trajectory corresponding to the largest weight value is selected as the recommended maintenance location.

[0129] Reference Figure 3 As shown, embodiments of the present invention also provide an electronic device, which may include: a memory 301 and a processor 302.

[0130] Memory 301 is used to store programs.

[0131] The processor 302 is used to execute the program to implement the various steps of the vehicle maintenance reminder method as described in the above embodiment.

[0132] Embodiments of the present invention also provide a readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the various steps of the vehicle maintenance reminder method as described in the above embodiments.

[0133] For the foregoing method embodiments, in order to simplify the description, they are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0134] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For apparatus embodiments, since they are basically similar to method embodiments, the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0135] The steps in the methods of the various embodiments of the present invention can be adjusted, merged, or deleted in order according to actual needs, and the technical features described in the various embodiments can be replaced or combined.

[0136] The modules and sub-modules in the various embodiments of the present invention can be merged, divided, and deleted according to actual needs.

[0137] In the embodiments provided by this invention, it should be understood that the disclosed terminals, devices, and methods can be implemented in other ways. For example, the terminal embodiments described above are merely illustrative. For instance, the division of modules or sub-modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple sub-modules or modules may be combined or integrated into another module, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or modules, and may be electrical, mechanical, or other forms.

[0138] The modules or submodules described as separate components may or may not be physically separate. The components that constitute a module or submodule may or may not be physical modules or submodules; that is, they may be located in one place or distributed across multiple network modules or submodules. Some or all of the modules or submodules can be selected to achieve the purpose of this embodiment's solution, depending on actual needs.

[0139] Furthermore, the functional modules or sub-modules in the various embodiments of the present invention can be integrated into one processing module, or each module or sub-module can exist physically separately, or two or more modules or sub-modules can be integrated into one module. The integrated modules or sub-modules described above can be implemented in hardware or in the form of software functional modules or sub-modules.

[0140] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0141] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software unit executed by a processor, or a combination of both. The software unit can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0142] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A vehicle maintenance reminder method, characterized in that, include: Identify the vehicle model of the target vehicle; If the target vehicle is a hybrid vehicle, the cumulative fuel mileage of the target vehicle is updated based on a preset adjustment rule, including: Obtain the target vehicle's daily pure electric mileage, daily fuel mileage, and daily total mileage; Based on the pure electric mileage, fuel mileage, and total mileage of the day, the fuel mileage of the day is calibrated, including: Based on the pure electric mileage, fuel mileage, and total mileage driven on that day, a mileage adjustment coefficient is determined: P = L1 / (L2+L3); L1 = L - L2 - L3; L represents the total mileage driven on the day, L1 represents the supplementary mileage, L2 represents the pure electric mileage driven on the day, L3 represents the fuel mileage driven on the day, and P represents the mileage adjustment coefficient; The daily fuel mileage is calibrated based on the aforementioned mileage adjustment factor: L4 = (P+1) * L3; L4 represents the calibrated fuel mileage for the current day. The accumulated fuel mileage is updated based on the calibrated daily fuel mileage. Determine whether to send a maintenance reminder based on the updated cumulative fuel mileage; If so, then send the aforementioned maintenance reminder.

2. The vehicle maintenance reminder method according to claim 1, characterized in that, Also includes: Obtain the historical driving trajectory of the target vehicle; Based on the historical driving trajectory, a recommended maintenance location is determined and sent to the user.

3. The vehicle maintenance reminder method according to claim 1, characterized in that, Also includes: Based on the degree of overlap between the current driving trajectory and the historical driving trajectory, the historical driving trajectory of the current driving trajectory is determined; Recommended maintenance locations are determined based on the distance between each maintenance location and the current driving history trajectory.

4. The vehicle maintenance reminder method according to claim 2, characterized in that, Also includes: The recommended maintenance time period is determined based on the working hours of the recommended maintenance location and the current number of people in the queue.

5. The vehicle maintenance reminder method according to claim 2, characterized in that, The process of determining a recommended maintenance location based on the historical driving trajectory and sending the recommended maintenance location to the user includes: The historical driving trajectory is preprocessed to remove trajectory data that was not during working hours or under preset road conditions, resulting in processed trajectory data. The number of times the same route appears in the processed trajectory data is counted; The recommended maintenance locations are selected from trips with a statistical frequency greater than the preset frequency.

6. The vehicle maintenance reminder method according to claim 5, characterized in that, The process of selecting recommended maintenance locations from trips with a statistical frequency greater than a preset number includes: The weight value of each trajectory is obtained by calculating the probability of each trajectory appearing and the distance to the maintenance location in each trajectory based on the weighted random function. The maintenance location in the trajectory corresponding to the maximum weight value is selected as the recommended maintenance location.

7. A vehicle maintenance reminder device, characterized in that, include: The vehicle model recognition module is used to identify the vehicle model of the target vehicle. The mileage update module is used to update the accumulated fuel mileage of the target vehicle based on a preset adjustment rule if the target vehicle is a hybrid vehicle, including: Obtain the target vehicle's daily pure electric mileage, daily fuel mileage, and daily total mileage; Based on the pure electric mileage, fuel mileage, and total mileage of the day, the fuel mileage of the day is calibrated, including: Based on the pure electric mileage, fuel mileage, and total mileage driven on that day, a mileage adjustment coefficient is determined: P = L1 / (L2+L3); L1 = L - L2 - L3; L represents the total mileage driven on the day, L1 represents the supplementary mileage, L2 represents the pure electric mileage driven on the day, L3 represents the fuel mileage driven on the day, and P represents the mileage adjustment coefficient; The daily fuel mileage is calibrated based on the aforementioned mileage adjustment factor: L4 = (P+1) * L3; L4 represents the calibrated fuel mileage for the current day. The accumulated fuel mileage is updated based on the calibrated daily fuel mileage. The maintenance determination module is used to determine whether to send a maintenance reminder based on the updated cumulative fuel mileage; and The maintenance reminder module is used to send the maintenance reminder if the condition is met.

8. An electronic device, characterized in that, include: Memory and processor; The memory is used to store programs; The processor is configured to execute the program to implement each step of the vehicle maintenance reminder method as described in any one of claims 1 to 6.

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