Charging reminding method and charging reminding device for electric vehicle

Abstract

The invention relates to the technical field of new energy vehicles, in particular to a charging reminding method and device for an electric vehicle. The method comprises the steps that vehicle travel data are collected in real time and preprocessed; establishing a charging position information base according to the chargeable position information of the current vehicle; updating the travel power consumption trend according to the power consumption information of each travel and calculating the estimation result of the power consumption of the next travel of the vehicle; and selecting a charging recommendation position in the charging position information base according to the power consumption estimation result, and planning charging recommendation time and a charging route. According to the method, the power consumption information in the vehicle driving process and the current vehicle chargeable position information are collected at the same time, and the charging position information base for the current vehicle is established according to all the chargeable positions of the current vehicle. Therefore, in the next travel of the current vehicle, the prompt is accurately made according to the demand of the vehicle owner.

Description

Technical Field

[0001] The present application relates to the technical field of new energy vehicles, and in particular to a charging reminder method and a charging reminder device for an electric vehicle. Background Art

[0002] With the rapid growth of household electric vehicles, electric vehicles have great advantages in license plates and usage costs, and are suitable for daily short-distance needs of families, such as daily commuting, picking up children, etc. Considering the usage of each family and the different locations of charging piles, the conventional method of issuing charging reminders after reaching the warning power level is not suitable for daily family use. In addition, the number of charging piles is much smaller than that of gas stations. For families who use electric vehicles on a daily basis, the charging location is generally a fixed location, and car owners have actual needs for personalized charging reminders based on their own usage habits.

[0003] In the related technology, the vehicle power consumption is mainly calculated based on the navigation location, and charging reminders are made based on the vehicle power or the location of the charging station on the navigation map. This is mainly to meet the needs of single electric vehicle travel, and charging reminders are also passive reminders based on single needs. Moreover, in the charging plan, only reminders can be made for the location of public charging stations. However, when some car owners drive new energy vehicles to charge, they often do not rely on public charging stations, but use charging piles in daily communities and units to meet their charging needs, and the existing charging reminder function cannot make appropriate plans. Summary of the invention

[0004] Regarding the related technology, the charging reminder for electric vehicles can only remind the location of the charging station, but cannot add the charging piles in the daily community, the charging piles in the unit or other private charging locations into the charging reminder strategy, and thus cannot accurately make reminders according to the needs of the car owner.

[0005] In a first aspect, an embodiment of the present application provides a charging reminder method for an electric vehicle, characterized in that the charging reminder method comprises:

[0006] Real-time collection of vehicle travel data, including travel power consumption information and current vehicle rechargeable location information;

[0007] Establishing a charging position information database according to the current charging position information of the vehicle;

[0008] The power consumption trend of each trip is updated according to the power consumption information of each trip, and the power consumption estimation result of the next vehicle trip is calculated according to the updated power consumption trend of the trip;

[0009] A recommended charging location is selected from a charging location information library based on an estimated result of power consumption for the next vehicle trip, and a recommended charging time and a charging route are planned based on the recommended charging location.

[0010] In combination with the first aspect, in one implementation, the real-time collection of vehicle travel data includes:

[0011] Collect the vehicle's departure address information and destination address information;

[0012] Confirm and update your home and work addresses based on your departure and destination address information.

[0013] In combination with the first aspect, in one implementation, establishing a charging position information database according to the current chargeable position information of the vehicle includes:

[0014] Confirm the charging status of the current parking location of the vehicle;

[0015] When it is confirmed that the current vehicle can be charged at the parking position, the parking position is recorded in the charging position information library.

[0016] In combination with the first aspect, in one implementation, confirming the charging status of the current parking position of the vehicle includes: confirming that the parking position is a public charging position or a private charging position, and inputting usage information of the charging position into a charging position information library.

[0017] In combination with the first aspect, in one implementation, the real-time collection of vehicle travel data further includes: classifying the vehicle travel data into weekday travel data and weekend travel data according to the data collection date.

[0018] In combination with the first aspect, in one implementation, updating the trip power consumption trend according to the power consumption information of each trip includes:

[0019] The vehicle's travel power consumption trend on weekdays is updated based on the travel power consumption information of the travel data on weekdays;

[0020] The travel power consumption trend of the vehicle on the weekend is updated according to the travel power consumption information of the weekend travel data.

[0021] In combination with the first aspect, in one implementation, updating the trip power consumption trend according to the power consumption information of each trip includes:

[0022] The air conditioning power consumption data of the vehicle's travel data is collected, and the power consumption trend of the air conditioning is corrected according to the air conditioning power consumption data.

[0023] In combination with the first aspect, in one implementation, the collecting of air-conditioning power consumption data of the vehicle's travel data and correcting the power consumption trend of the air-conditioning according to the air-conditioning power consumption data includes:

[0024] The current vehicle air conditioner power consumption data is divided into winter air conditioner power consumption data and summer air conditioner power consumption data according to the current vehicle air conditioner working mode;

[0025] The power consumption data of the air conditioner in winter or summer is selected to correct the power consumption trend of the vehicle during weekdays or weekends.

[0026] In combination with the first aspect, in one implementation, before selecting a recommended charging location in a charging location information database according to the power consumption estimation result of the next vehicle trip, the method further includes:

[0027] Collect weather forecast information and issue charging reminders based on rain and snow consumption, including:

[0028] When the weather forecast shows that the consumption will be high due to rain or snow, the vehicle will be prompted to charge in advance.

[0029] In a second aspect, an embodiment of the present application provides a charging reminder device for an electric vehicle, comprising:

[0030] A data collection module, which is used to collect vehicle travel data in real time, the vehicle travel data including travel power consumption information and charging location information;

[0031] A data processing module, which is used to establish a charging position information database according to the charging position information;

[0032] A prediction module, which is used to update the trip power consumption trend according to the power consumption information of each trip, and calculate the estimated power consumption result of the next vehicle trip through the updated trip power consumption trend;

[0033] The reminder module is used to select a recommended charging location in the charging location information library based on the power consumption estimation result of the next vehicle trip, and plan the recommended charging time and recommended charging route based on the recommended charging location

[0034] The beneficial effects brought by the technical solution provided in the embodiments of the present application include:

[0035] This application collects the power consumption information of the vehicle during driving and the current charging position information of the vehicle, and establishes a charging position information database for the current vehicle according to all the charging positions of the current vehicle. Then, in the next trip of the current vehicle, the appropriate charging position can be selected according to the power consumption of the current vehicle, and a personalized charging reminder can be given to the current vehicle, so as to accurately provide reminders according to the needs of the owner. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a flow chart of the first embodiment of the charging reminder method of the present application;

[0037] Figure 2This is a schematic diagram of the hardware structure of the charging reminder device involved in the embodiment of the present application. DETAILED DESCRIPTION

[0038] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0039] Regarding the related technology, the charging reminder for electric vehicles can only remind the location of the charging station, but cannot add the charging piles in the daily community, the charging piles in the unit or other private charging locations into the charging reminder strategy, and thus cannot accurately make reminders according to the needs of the car owner.

[0040] In a first aspect, the present application provides a charging reminder method for an electric vehicle, such as Figure 1 As shown, the charging reminder method includes:

[0041] Step S1, collecting and preprocessing vehicle travel data in real time, wherein the vehicle travel data includes travel power consumption information and current chargeable position information of the vehicle.

[0042] Specifically, the above step S1 includes:

[0043] Step S1a: Collect the departure address information and destination address information of the vehicle, and confirm and update the home address and work address based on the departure address information and destination address information.

[0044] It should be noted that this application is for personalized charging reminders for the current vehicle. Since electric vehicles generally have shorter travel distances, the most widely used routes for daily driving are routes to and from get off work. Therefore, in the embodiment of this application, by confirming the home address and the work address, an accurate power consumption trend prediction can be made for the power consumption of the route between the home address and the work address in subsequent steps.

[0045] Step S1b: classify the vehicle travel data into weekday travel data and weekend travel data according to the data collection date.

[0046] It is worth noting that most of the trips during the daily working day are repeated to repeated places, such as companies and schools. The round-trip distance between home and destination generally does not exceed the electric vehicle's range. The commonly used charging location may be one of home or destination or one of the two places. Weekend use dates include weekends and holidays, and the current vehicle driving locations will be more diverse. In order to ensure that the data of the current vehicle used on weekends does not interfere with the data of daily use, the data of the two should be classified.

[0047] Step S2: Establish a charging position information database according to the current chargeable position information of the vehicle.

[0048] It should be noted that electric vehicles can be charged at public charging stations. However, as urban facilities improve, some shopping malls and residential parking lots are equipped with charging piles. However, these charging piles are both public and private. The charging location information database established by this application for the current vehicle only includes the locations where the current vehicle can be charged, avoiding the situation where the vehicle cannot be charged when it arrives at the charging location.

[0049] Specifically, the above step S2 includes: confirming whether each parking space of the current vehicle in the travel data can be charged. When it is confirmed that the current vehicle can be charged at the parking space, the parking space is recorded in the charging space information library.

[0050] Further, it is confirmed whether the parking location is a public charging location or a private charging location, or whether it is a public or employee charging location, and the usage information of the charging location is input into the charging location information library.

[0051] Preferably, the charging location information database can be associated with a city map system to obtain public charging parking spaces.

[0052] It is worth noting that by confirming the above parking space information, the charging location information database includes not only public charging stations but also charging locations such as the current vehicle's private charging piles or dedicated parking piles that will not be recorded in the city map network. Based on these locations, accurate parking space recommendations and charging reminders can be provided for the current vehicle.

[0053] Step S3: updating the trip power consumption trend according to the power consumption information of each trip, and calculating the estimated power consumption result of the next vehicle trip according to the updated trip power consumption trend.

[0054] The above step S3 specifically includes:

[0055] Step S3a: updating the travel power consumption trend of the vehicle on weekdays according to the travel power consumption information of the weekday travel data.

[0056] In some specific implementation methods, the system identifies the home location after initialization, and actively confirms with the car owner to locate the home address, and at the same time confirms whether the parking space can be charged, whether it is a public or private charging space, and includes it in the charging location information database; when the car owner goes to a company, office building, enterprise or institution for the first time on a weekday, the system actively confirms with the car owner to locate the work address, and at the same time confirms whether the parking space can be charged, whether it is a public or employee charging space; the location is determined, and at the same time, the driving power consumption of the entire journey, the temperature inside and outside the car, and the power consumption of the owner's entertainment system, air-conditioning system, etc. throughout the journey are all included in the data accumulation of power consumption habits.

[0057] Furthermore, the initial trip locates the location and other basic information, and the subsequent trips continuously eliminate the data with large differences in power consumption for driving, entertainment, etc. and take the average data. The changing trend of air-conditioning power consumption is recorded according to the changes in temperature, and the next power consumption is estimated based on the changing trend. Correction and optimization are performed based on the next actual power consumption. Through such personalized data correction, the owner's accurate power consumption information is obtained. As a networked information database, the charging location information database shares the public charging location information of other owners, protects the information of private charging positions that are not open to the public, and realizes personalized charging reminders for daily use.

[0058] Step S3b: updating the travel power consumption trend of the vehicle on weekends according to the travel power consumption information of the weekend travel data.

[0059] It is worth mentioning that weekend usage includes holidays and the locations will be more diverse. First of all, the system will ensure that the data used on weekends will not interfere with the data used on daily basis. Therefore, even if the place arrived at on the weekend is the work address, this data will not be used as correction data for daily use, but will be processed as a certain usage data on the weekend.

[0060] In some specific implementation methods, the travel and entertainment usage data of weekends are processed according to the time average. Because the usage time on weekends varies, all data will add the time average, and lock several places such as shopping malls and cinemas based on navigation, add confirmation of whether the parking space can be charged, and whether it is a public open charging space (some shopping malls have parking space brand restrictions on charging), and include it in the charging location information database; after multiple data optimizations, in subsequent steps, you can give charging reminders in advance before weekend travel or give reminders in advance before the end of daily work at the weekend.

[0061] Step S3c: collecting the air-conditioning power consumption data of the vehicle's travel data, and correcting the air-conditioning power consumption trend according to the air-conditioning power consumption data.

[0062] Specifically, the current vehicle air conditioner power consumption data is divided into winter air conditioner power consumption data and summer air conditioner power consumption data according to the current vehicle air conditioner working mode. The winter or summer air conditioner power consumption data is selected to correct the vehicle's travel power consumption trend on weekdays or weekends.

[0063] It is worth mentioning that as the main power consumption system, air conditioning will significantly increase the frequency of vehicle charging when used frequently in summer. The power consumption of air conditioning is related to temperature, air volume, etc. When the vehicle is started, it needs to be adjusted to a comfortable temperature as soon as possible, and the power consumption will increase suddenly. When maintaining the temperature, the power consumption will decrease. If it is maintained stable, the power consumption will increase relatively if it is used for too long. For daily use, it is sufficient to increase the power consumption forecast of the air conditioner and make a reminder. However, on weekends, it is necessary to predict whether charging is needed in advance based on the destination and remind the owner.

[0064] Furthermore, winter is positioned in the system as air conditioning use heating mode, and the data in heating mode is included in the winter use data and associated with daily and weekend data, supporting daily and weekend data correction.

[0065] The air conditioning heating of electric vehicles is different from that of fuel vehicles. The air conditioning heating of fuel vehicles can mainly rely on engine heat and does not consume much electricity. However, the power consumption of air conditioning heating of electric vehicles will significantly increase the frequency of vehicle charging. The power consumption of air conditioning is related to temperature, air volume, etc. When the vehicle is started, it needs to be adjusted to a comfortable temperature as soon as possible, and the power consumption will increase suddenly. When maintaining the temperature, the power consumption will decrease. If it is maintained in stable heating mode, the power consumption will be relatively reduced over time. For daily use, the power consumption of the air conditioner can be predicted and a reminder can be made. However, on weekends, it is necessary to predict whether charging is needed in advance based on the destination and remind the owner.

[0066] Step S4: selecting a recommended charging location in a charging location information database according to the power consumption estimation result of the next vehicle trip, and planning a recommended charging time and charging route according to the recommended charging location.

[0067] Furthermore, in the process of planning the recommended charging time and charging route, the recommended charging location and charging time can be selected from the charging location optional information library based on the vehicle owner's route and safety considerations.

[0068] In some preferred implementations, weather forecast information is collected, and charging reminders are issued based on the consumption of rain and snow. When the weather forecast information shows that the consumption of rain and snow is large, a reminder to charge in advance is issued to the vehicle.

[0069] It is worth mentioning that if rainy or snowy weather occurs during the aforementioned uses, and functions such as wipers, defrost and defogger are used, the data will be recorded separately and will not affect the correction of the main data. It will be included in the power consumption in rainy and snowy conditions together with the temperature information, and associated with daily and weekend data. It supports daily and weekend data correction, and at the same time, combined with weather forecast information, gives a reminder to charge in advance when rainy and snowy consumption is high. At the same time, if there is a forecast of heavy rain or other weather, it is recommended not to use the vehicle, and there are relatively safe parking location recommendations.

[0070] It is worth noting that, in the embodiment of the reminder method of this application, the charging location information library is maintained based on the navigation charging station and the owner's usage information, so it is more comprehensive than general navigation information. Electric vehicles are different from fuel vehicles. Electric vehicles have many charging options, including charging stations, charging services that directly replace batteries, charging piles in community parking spaces, and rechargeable parking spaces in public places. Navigation cannot make a good judgment on this, so the owner's feedback and collection is a good way to accumulate data. The collection and organization of rechargeable locations is very important for optimizing the charging reminder method.

[0071] It should be noted that the charging reminder method for the motor vehicle of the present application is not limited to the step sequence in the above embodiment, and the above step sequence can be reasonably changed and adjusted according to actual working conditions.

[0072] In a second aspect, the present application provides a charging reminder device for an electric vehicle, comprising:

[0073] A data collection preprocessing module, which is used to collect vehicle travel data in real time, the vehicle travel data including travel power consumption information and charging location information;

[0074] A data processing module, which is used to establish a charging position information database according to the charging position information;

[0075] A prediction module, which is used to update the trip power consumption trend according to the power consumption information of each trip, and calculate the estimated power consumption result of the next vehicle trip through the updated trip power consumption trend;

[0076] The reminder module is used to select a recommended charging location in a charging location information library according to the power consumption estimation result of the next vehicle trip, and plan a recommended charging time and a recommended charging route according to the recommended charging location.

[0077] Specifically, the data collection module is used to collect the departure address information and destination address information of the vehicle, and confirm and update the home address and work address based on the departure address information and destination address information.

[0078] Furthermore, the data collection module is also used to classify the vehicle travel data into weekday travel data and weekend travel data according to the data collection date.

[0079] Among them, the functional implementation of each module in the above-mentioned charging reminder device corresponds to the various steps in the above-mentioned charging reminder method embodiment, and its functions and implementation processes are no longer repeated here.

[0080] In a third aspect, an embodiment of the present application provides a charging reminder device for an electric vehicle. The charging reminder device may be a personal computer (PC), a laptop computer, a server, or other device with a data processing function.

[0081] Reference Figure 2 , Figure 2 Schematic diagram of the hardware structure of the charging reminder device involved in the embodiment of the present application. In the embodiment of the present application, the charging reminder device may include a processor, a memory, a communication interface and a communication bus.

[0082] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0083] The communication interface includes input / output (I / O) interface, physical interface and logical interface, etc., which are used to realize the interconnection of devices inside the charging reminder device, and the interface used to realize the interconnection of the charging reminder device with other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, a fiber optic interface, an ATM interface, etc.; the user device can be a display (Display), a keyboard (Keyboard), etc.

[0084] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0085] The processor may be a general-purpose processor, and the general-purpose processor may call the charging reminder program stored in the memory and execute the charging reminder method provided in the embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the charging reminder program is called may refer to the various embodiments of the charging reminder method of the present application, which will not be repeated here.

[0086] Those skilled in the art will understand that Figure 2 The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0087] In a fourth aspect, an embodiment of the present application also provides a readable storage medium.

[0088] A charging reminder program is stored on the readable storage medium of the present application, wherein when the charging reminder program is executed by the processor, the steps of the charging reminder method as described above are implemented.

[0089] Among them, the method implemented when the charging reminder program is executed can refer to the various embodiments of the charging reminder method of the present application, and will not be repeated here.

[0090] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0091] In summary, this application simultaneously collects the power consumption information of the vehicle during driving and the current charging position information of the vehicle, and establishes a charging position information database for the current vehicle according to all the charging positions of the current vehicle. Then, in the next trip of the current vehicle, a suitable charging position can be selected according to the power consumption of the current vehicle, and a personalized charging reminder can be given to the current vehicle, so as to accurately provide reminders according to the needs of the owner.

[0092] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.

[0093] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.

[0094] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.

[0095] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0096] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0097] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A charging reminder method for an electric vehicle, characterized in that: The charging reminder method comprises: Collect and pre-process vehicle travel data in real time, including travel power consumption information and current vehicle rechargeable location information; Establishing a charging position information database according to the current charging position information of the vehicle; The power consumption trend of each trip is updated according to the power consumption information of each trip, and the power consumption estimation result of the next vehicle trip is calculated according to the updated power consumption trend of the trip; A recommended charging location is selected from a charging location information library based on an estimated result of power consumption for the next vehicle trip, and a recommended charging time and a charging route are planned based on the recommended charging location.

2. The charging reminder method for an electric vehicle as claimed in claim 1, characterized in that: The real-time collection of vehicle travel data and pre-processing includes: Collect the vehicle's departure address information and destination address information; Confirm and update your home and work addresses based on your departure and destination address information.

3. The charging reminder method for an electric vehicle as claimed in claim 2, characterized in that: The step of establishing a charging position information database according to the current chargeable position information of the vehicle includes: Confirm the charging status of the current parking location of the vehicle; When it is confirmed that the current vehicle can be charged at the parking position, the parking position is recorded in the charging position information library.

4. The charging reminder method for an electric vehicle as claimed in claim 3, characterized in that: The confirming the charging status of the current parking position of the vehicle includes: confirming that the parking position is a public charging position or a private charging position, and inputting the usage information of the charging position into a charging position information library.

5. The charging reminder method for an electric vehicle as claimed in claim 2, characterized in that: The real-time collection of vehicle travel data and preprocessing also includes: classifying the vehicle travel data into weekday travel data and weekend travel data according to the data collection date.

6. The charging reminder method for an electric vehicle as claimed in claim 5, characterized in that: The updating of the trip power consumption trend according to the power consumption information of each trip includes: The vehicle's travel power consumption trend on weekdays is updated based on the travel power consumption information of the travel data on weekdays; The travel power consumption trend of the vehicle on the weekend is updated according to the travel power consumption information of the weekend travel data.

7. The charging reminder method for an electric vehicle as claimed in claim 6, characterized in that: The updating of the trip power consumption trend according to the power consumption information of each trip includes: The air conditioning power consumption data of the vehicle's travel data is collected, and the power consumption trend of the air conditioning is corrected according to the air conditioning power consumption data.

8. The charging reminder method for an electric vehicle as claimed in claim 7, characterized in that: The collecting of the air-conditioning power consumption data of the vehicle's travel data and correcting the power consumption trend of the air-conditioning according to the air-conditioning power consumption data includes: The current vehicle air conditioner power consumption data is divided into winter air conditioner power consumption data and summer air conditioner power consumption data according to the current vehicle air conditioner working mode; The power consumption data of the air conditioner in winter or summer is selected to correct the power consumption trend of the vehicle during weekdays or weekends.

9. The charging reminder method for an electric vehicle as claimed in claim 1, characterized in that: Before selecting a recommended charging location in a charging location information database according to the power consumption estimation result of the next vehicle trip, the method further includes: Collect weather forecast information and issue charging reminders based on rain and snow consumption, including: When the weather forecast shows that the consumption will be high due to rain or snow, the vehicle will be prompted to charge in advance.

10. A charging reminder device for an electric vehicle, characterized in that: include: A data collection and preprocessing module, which is used to collect and preprocess vehicle travel data in real time, wherein the vehicle travel data includes travel power consumption information and charging location information; A data processing module, which is used to establish a charging position information database according to the charging position information; A prediction module, which is used to update the trip power consumption trend according to the power consumption information of each trip, and calculate the estimated power consumption result of the next vehicle trip through the updated trip power consumption trend; The reminder module is used to select a recommended charging location in a charging location information library according to the power consumption estimation result of the next vehicle trip, and plan a recommended charging time and a recommended charging route according to the recommended charging location.

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