Method and system for guiding user to use new energy vehicle and cloud server

Abstract

The invention discloses a method and system for guiding a user to use a new energy vehicle, a cloud server and the new energy vehicle. The method for guiding the user to use the new energy vehicle comprises the steps that vehicle using habit data of a target new energy vehicle are acquired, and the vehicle using habit data comprise at least one of a vehicle charging behavior parameter, a vehicle driving behavior parameter and a vehicle parking behavior parameter; predicting a battery life attenuation condition of the target new energy vehicle according to the vehicle using habit data, and rating a charging behavior, a driving behavior and / or a parking behavior according to the battery life attenuation condition; and generating a vehicle using suggestion according to the rating result, and sending the vehicle using suggestion to terminal equipment bound with the target new energy vehicle so as to guide a user to use the target new energy vehicle. According to the method for guiding the user to use the new energy vehicle, the current unreasonable vehicle using habit of the user can be improved, the attenuation speed of the battery is reduced, and the service life of the battery is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy vehicles, and in particular to a method for guiding users to use new energy vehicles, a cloud server, a new energy vehicle, and a system for guiding users to use new energy vehicles. Background Art

[0002] Compared with traditional fuel vehicles, new energy vehicles have the advantages of fast torque response, stable power output, low noise, and significantly better control and driving performance than traditional vehicles. However, during the use of new energy vehicles, the user's charging behavior, driving behavior, and parking behavior will have a significant impact on the battery life. For example, charging and discharging of power batteries at high and low temperatures, parking at high temperatures, etc. will cause battery degradation, thereby reducing the vehicle's cruising range. Summary of the invention

[0003] The present invention aims to solve one of the technical problems in the related art to at least some extent. To this end, the purpose of the present invention is to provide a method, system, cloud server and new energy vehicle for guiding users to use new energy vehicles, so as to guide users to use new energy vehicles reasonably.

[0004] To achieve the above-mentioned purpose, an embodiment of the first aspect of the present invention proposes a method for guiding users to use new energy vehicles, the method comprising: obtaining vehicle usage habit data of a target new energy vehicle, wherein the vehicle usage habit data includes at least one of vehicle charging behavior parameters, vehicle driving behavior parameters, and vehicle parking behavior parameters; predicting the battery life decay of the target new energy vehicle based on the vehicle usage habit data, and rating the charging behavior, driving behavior and / or parking behavior based on the battery life decay; generating a vehicle usage recommendation based on the rating results, and sending the vehicle usage recommendation to a terminal device bound to the target new energy vehicle to guide the user to use the target new energy vehicle.

[0005] In addition, the method for guiding users to use new energy vehicles according to the embodiment of the present invention may also have the following additional technical features:

[0006] According to one embodiment of the present invention, the vehicle usage habit data is the vehicle usage data within a past preset mileage or a past preset time uploaded to the cloud server by the target new energy vehicle when the target new energy vehicle meets the preset conditions, wherein the preset conditions include at least one of the mileage of the target new energy vehicle exceeding the preset mileage and the vehicle usage time exceeding the preset time.

[0007] According to one embodiment of the present invention, the preset condition also includes: the current battery discharge capacity of the target new energy vehicle is lower than the expected capacity threshold, or the current battery discharge capacity is not lower than the expected capacity threshold and the target new energy vehicle receives the notification information sent by the cloud server; wherein, the method also includes: continuously obtaining the battery capacity of the target new energy vehicle; when the current battery discharge capacity is not lower than the expected capacity threshold, obtaining a battery decay rate curve based on the battery capacity of the target new energy vehicle in the past preset mileage or the past preset time; determining the target capacity threshold based on the battery decay rate curve, and sending the notification information to the target new energy vehicle when the current battery discharge capacity is lower than the target capacity threshold.

[0008] According to one embodiment of the present invention, the vehicle charging behavior parameters include at least two of the charging capacity, charging method, charging and discharging temperature, charging and discharging current, charging start SOC range, and charging end SOC range; the vehicle driving behavior parameters include at least one of high-speed driving mileage data, rapid acceleration driving condition data, and rapid deceleration driving condition data; the vehicle parking behavior parameters include at least one of the battery capacity during parking, parking time, and parking environment temperature.

[0009] According to one embodiment of the present invention, the battery life decay of the target new energy vehicle is predicted based on the vehicle usage habit data, and the charging behavior, driving behavior and / or parking behavior are rated based on the battery life decay, including: if the battery decay predicted according to the vehicle charging behavior parameters is higher than expected, the charging behavior is rated as a low level; if the battery decay predicted according to the vehicle driving behavior parameters is higher than expected, the driving behavior is rated as a low level; if the battery decay predicted according to the vehicle parking behavior parameters is higher than expected, the parking behavior is rated as a low level.

[0010] According to one embodiment of the present invention, the generating of car usage suggestions based on the rating results includes: if the rating of charging behavior is low, the generated car usage suggestions are charging suggestions; if the rating of driving behavior is low, the generated car usage suggestions are driving suggestions; if the rating of parking behavior is low, the generated car usage suggestions are parking suggestions.

[0011] According to one embodiment of the present invention, the method also includes: when it is estimated that the charging and discharging temperature is too high or too low, resulting in a battery life decay rate that exceeds expectations, sending a first control signal to the target new energy vehicle, so that the battery management system of the target new energy vehicle performs battery thermal management according to the first control signal; when it is estimated that the charging and discharging current is too large, resulting in a battery life decay rate that exceeds expectations, sending a second control signal to the target new energy vehicle, so that the battery management system of the target new energy vehicle regulates the battery charging and discharging power according to the second control signal.

[0012] To achieve the above-mentioned purpose, a second aspect of the present invention proposes a cloud server, which includes a memory, a processor and a computer program stored on the memory. When the computer program is executed by the processor, the above-mentioned method of guiding users to use new energy vehicles is implemented.

[0013] To achieve the above-mentioned purpose, the third aspect of the present invention proposes a new energy vehicle, which includes: a battery management system and a smart cockpit. The battery management system is used to upload vehicle usage habit data to a cloud server, so that the cloud server predicts the battery life decay of the new energy vehicle based on the vehicle usage habit data, and rates the charging behavior, driving behavior and / or parking behavior based on the battery life decay, and generates vehicle usage recommendations based on the rating results, wherein the vehicle usage habit data includes at least one of vehicle charging behavior parameters, vehicle driving behavior parameters, and vehicle parking behavior parameters; the smart cockpit is used to receive and display the vehicle usage recommendations sent by the cloud server to guide users to use the new energy vehicle.

[0014] To achieve the above-mentioned purpose, a fourth aspect of the present invention proposes a system for guiding users to use new energy vehicles, and the system includes: the above-mentioned cloud server and the above-mentioned new energy vehicle.

[0015] The method, system, cloud server and new energy vehicle for guiding users to use new energy vehicles in the embodiments of the present invention guide users to use new energy vehicles reasonably by rating charging behavior, driving behavior and / or parking behavior and generating vehicle use suggestions, which can improve users' current unreasonable vehicle use habits, slow down battery degradation and increase battery life. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a flow chart of a method for guiding a user to use a new energy vehicle according to an embodiment of the present invention;

[0017] Figure 2 is a structural block diagram of a cloud server according to an embodiment of the present invention;

[0018] Figure 3is a structural block diagram of a new energy vehicle according to an embodiment of the present invention;

[0019] Figure 4 It is a structural block diagram of a system for guiding users to use new energy vehicles according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0021] The following describes a method, system, cloud server, and new energy vehicle for guiding users to use new energy vehicles according to an embodiment of the present invention with reference to the accompanying drawings.

[0022] Figure 1 It is a flowchart of a method for guiding a user to use a new energy vehicle according to an embodiment of the present invention.

[0023] like Figure 1 As shown, the methods for guiding users to use new energy vehicles include:

[0024] S1, obtaining vehicle usage habit data of a target new energy vehicle, wherein the vehicle usage habit data includes at least one of a vehicle charging behavior parameter, a vehicle driving behavior parameter, and a vehicle parking behavior parameter.

[0025] As an example, the vehicle usage habit data can be uploaded to the cloud server through the BMS (Battery Management System).

[0026] S2, predicting the battery life degradation of the target new energy vehicle based on the vehicle usage habit data, and rating the charging behavior, driving behavior and / or parking behavior based on the battery life degradation.

[0027] As an example, charging behavior, driving behavior, and parking behavior can be rated through a battery life model in the cloud, wherein the rating levels can be divided into high, medium, and low levels.

[0028] S3, generates a vehicle usage recommendation based on the rating results, and sends the vehicle usage recommendation to a terminal device bound to the target new energy vehicle to guide the user to use the target new energy vehicle.

[0029] It should be noted that when the rating result is high or medium, no vehicle usage recommendation may be generated.

[0030] As an example, vehicle usage recommendations can be displayed on the vehicle's central control screen or sent to a mobile phone APP, thereby guiding users to use new energy vehicles based on the vehicle usage recommendations.

[0031] The method for guiding users to use new energy vehicles in an embodiment of the present invention guides users to use new energy vehicles reasonably by rating charging behavior, driving behavior and / or parking behavior and generating vehicle use suggestions. This can improve users' current unreasonable vehicle use habits, slow down battery degradation, and increase battery life.

[0032] In some embodiments of the present invention, the vehicle usage habit data is the vehicle usage data within the past preset mileage or past preset time uploaded to the cloud server by the target new energy vehicle when the target new energy vehicle meets the preset conditions, wherein the preset conditions include at least one of the target new energy vehicle's mileage exceeding the preset mileage and the vehicle usage time exceeding the preset time.

[0033] As an example, the preset time may be one month, and the preset mileage may be one thousand kilometers.

[0034] As a feasible implementation method, the user's vehicle usage habit data within one thousand kilometers or one month can be uploaded to the cloud server through the BMS.

[0035] In some embodiments of the present invention, the preset condition also includes: the current battery discharge capacity of the target new energy vehicle is lower than the expected capacity threshold, or the current battery discharge capacity is not lower than the expected capacity threshold and the target new energy vehicle receives the notification information sent by the cloud server; wherein the method for guiding the user to use the new energy vehicle also includes:

[0036] S41, continuously obtaining the battery capacity of the target new energy vehicle.

[0037] S42, when the current battery discharge capacity is not lower than the expected capacity threshold, a battery attenuation rate curve is obtained by fitting the battery capacity of the target new energy vehicle in the past preset mileage or the past preset time.

[0038] S43, determining a target capacity threshold according to the battery attenuation rate curve, and sending a notification message to the target new energy vehicle when the current battery discharge capacity is lower than the target capacity threshold.

[0039] As an example, when the target new energy vehicle has been driven for one month or has traveled 1,000 kilometers, the BMS will compare the current battery discharge capacity with the expected capacity threshold. When the current battery discharge capacity is lower than the expected capacity threshold, the BMS will upload the user's relevant vehicle usage habit data within 1,000 kilometers or one month to the cloud server.

[0040] As another example, when the target new energy vehicle has been driving for one month or has traveled one thousand kilometers, the BMS may compare the current battery discharge capacity with the expected capacity threshold. When the current battery discharge capacity is not lower than the expected capacity threshold, the battery prediction model of the cloud server fits the battery decay rate curve based on the target new energy vehicle's battery decay history data and obtains the target capacity threshold. When the current battery discharge capacity is lower than the target capacity threshold, the cloud server sends a notification message to the target new energy vehicle. Based on the notification message, the target new energy vehicle uploads the vehicle usage habit data to the cloud server. When the current battery discharge capacity is not lower than the target capacity threshold, the cloud server does not send a notification message.

[0041] In some embodiments of the present invention, the vehicle charging behavior parameters include at least two of the charging capacity, charging method, charging and discharging temperature, charging and discharging current, charging start SOC (State of Charge) range, and charging end SOC range; the vehicle driving behavior parameters include at least one of high-speed driving mileage data, rapid acceleration driving condition data, and rapid deceleration driving condition data; the vehicle parking behavior parameters include at least one of the battery capacity during parking, parking time, and parking environment temperature.

[0042] It should be noted that the target new energy vehicle usage habit data obtained may be unprocessed data, and the cloud server may classify the unprocessed data into vehicle charging behavior parameters, vehicle driving behavior parameters, and vehicle parking behavior parameters according to the data type. Among them, the unprocessed data may include charging and discharging parameters and temperature, front and rear motor controller data, accelerator pedal signal, brake pedal signal, and vehicle external environment temperature.

[0043] For example, for vehicle charging behavior parameters, the vehicle charging behavior can be divided into fast charging mode and slow charging mode based on the principle that high current charging affects battery life; the battery charging start SOC range and battery charging end SOC range can be classified based on the principle that the battery charging and discharging depth affects the battery life; the battery charging and discharging temperature data can be extracted based on the principle that temperature affects the battery life. For vehicle driving behavior parameters, high-speed driving mileage data, rapid acceleration driving condition data, and rapid deceleration driving condition data can be extracted based on the principle that high current discharge affects battery life. For vehicle parking behavior parameters, parameters such as battery power during parking, parking time, and parking environment temperature can be extracted based on the principle that the battery is stationary and affects the battery life.

[0044] In some embodiments of the present invention, the battery life decay of the target new energy vehicle is predicted based on the vehicle usage habit data, and the charging behavior, driving behavior and / or parking behavior are rated based on the battery life decay, including: if the battery decay predicted by the vehicle charging behavior parameters is higher than expected, the charging behavior is rated as a low level; if the battery decay predicted by the vehicle driving behavior parameters is higher than expected, the driving behavior is rated as a low level; if the battery decay predicted by the vehicle parking behavior parameters is higher than expected, the parking behavior is rated as a low level.

[0045] It should be noted that the battery life model estimates the battery life attenuation based on vehicle charging behavior parameters, vehicle driving behavior parameters, vehicle parking behavior parameters and other data. Among them, the battery SOH (State of Health) estimate can be expressed as f (X1, X2, X3, X4, X5, X6, X7, X8, X9, X10), X1 represents the fast charge amount of the battery; X2 represents the starting SOC range of the battery charging, X3 represents the battery charging to SOC range, X4 represents the charging temperature, X5 represents the number of rapid acceleration and deceleration of the vehicle, X6 represents the high-speed driving mileage data, X7 represents the battery temperature of the vehicle driving, X8 represents the battery power when parking, X9 represents the parking time, and X10 represents the parking environment temperature.

[0046] In some embodiments of the present invention, a car usage recommendation is generated based on the rating results, including: if the rating of charging behavior is low, the generated car usage recommendation is a charging recommendation; if the rating of driving behavior is low, the generated car usage recommendation is a driving recommendation; if the rating of parking behavior is low, the generated car usage recommendation is a parking recommendation.

[0047] As an example, if the battery life model of the cloud server recognizes that the evaluation of the charging behavior is low, that is, the user's unreasonable charging behavior causes the battery degradation to be higher than expected, the battery life model gives targeted charging suggestions based on the user's habits in the charging behavior and displays them on the vehicle's large screen and mobile phone APP; if the battery life model of the cloud server recognizes that the evaluation of the driving behavior is low, that is, the user's unreasonable charging behavior causes the battery degradation to be higher than expected, the battery life model gives targeted driving suggestions based on the user's habits in the driving behavior and displays them on the vehicle's large screen and mobile phone APP; if the battery life model of the cloud server recognizes that the evaluation of the parking behavior is low, that is, the user's unreasonable charging behavior causes the battery degradation to be higher than expected, the battery life model gives targeted parking suggestions based on the user's habits in the parking behavior and displays them on the vehicle's large screen and mobile phone APP.

[0048] As another example, charging suggestions may be: avoid frequent fast charging, give priority to slow charging or smart charging mode; avoid charging under extreme temperature conditions, try to choose a time period with suitable temperature for charging; avoid full charging and over-discharging. Driving suggestions may be: avoid violent driving behaviors such as sudden acceleration, sudden braking and high-speed driving; avoid long-term climbing as much as possible. Parking suggestions may be: avoid long-term parking; try to choose a location that is away from the sun and well ventilated for parking.

[0049] In some embodiments of the present invention, the method for guiding a user to use a new energy vehicle further includes:

[0050] S51, when it is estimated that the charging and discharging temperature is too high or too low, causing the battery life decay rate to exceed expectations, a first control signal is sent to the target new energy vehicle, so that the battery management system of the target new energy vehicle performs battery thermal management according to the first control signal.

[0051] As an example, the battery management system may adjust the heating and / or cooling thresholds of the battery thermal management according to the first control signal.

[0052] S52, when it is estimated that the charge and discharge current is too large, causing the battery life decay rate to exceed expectations, a second control signal is sent to the target new energy vehicle, so that the battery management system of the target new energy vehicle controls the battery charge and discharge power according to the second control signal.

[0053] As an example, the battery management system may regulate the SOP (State of Power) of battery charging and discharging according to the second regulation signal.

[0054] Corresponding to the above embodiment, the present invention further proposes a cloud server.

[0055] Figure 2 It is a structural block diagram of a cloud server according to an embodiment of the present invention.

[0056] like Figure 2 As shown, the cloud server 500 includes: a processor 501 and a memory 503. The processor 501 and the memory 503 are connected, such as through a bus 502. Optionally, the cloud server 500 may also include a transceiver 504. It should be noted that in actual applications, the transceiver 504 is not limited to one, and the structure of the cloud server 500 does not constitute a limitation on the embodiments of the present invention.

[0057] Processor 501 may be a CPU (Central Processing Unit), a general purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of the present invention. Processor 501 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0058] The bus 502 may include a path to transmit information between the above components. The bus 502 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 502 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 2 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0059] The memory 503 is used to store a computer program corresponding to the method for guiding a user to use a new energy vehicle according to the above embodiment of the present invention, and the computer program is controlled and executed by the processor 501. The processor 501 is used to execute the computer program stored in the memory 503 to implement the contents shown in the above method embodiment.

[0060] in, Figure 2 The cloud server 500 shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0061] The cloud server of the embodiment of the present invention can improve the user's current unreasonable car-using habits, slow down the battery degradation rate, and increase the battery life by implementing a method for guiding users to use new energy vehicles.

[0062] Corresponding to the above embodiment, the present invention also proposes a new energy vehicle.

[0063] Figure 3 It is a structural block diagram of a new energy vehicle according to an embodiment of the present invention.

[0064] like Figure 3As shown, the new energy vehicle 400 of the embodiment of the present invention includes a battery management system 401 and a smart cockpit 402. The battery management system 401 is used to upload the vehicle use habit data to the cloud server, so that the cloud server predicts the battery life decay of the new energy vehicle according to the vehicle use habit data, and rates the charging behavior, driving behavior and / or parking behavior according to the battery life decay, and generates vehicle use suggestions according to the rating results, wherein the vehicle use habit data includes at least one of the vehicle charging behavior parameters, the vehicle driving behavior parameters, and the vehicle parking behavior parameters; the smart cockpit 402 is used to receive and display the vehicle use suggestions sent by the cloud server to guide users to use new energy vehicles.

[0065] The new energy vehicle 400 of the embodiment of the present invention can slow down the battery degradation rate and increase the battery life.

[0066] Corresponding to the above embodiment, the present invention also proposes a system for guiding users to use new energy vehicles.

[0067] Figure 4 It is a structural block diagram of a system for guiding users to use new energy vehicles according to an embodiment of the present invention.

[0068] like Figure 4 As shown, the system 10 for guiding users to use new energy vehicles according to an embodiment of the present invention includes: the above-mentioned cloud server 500 and the above-mentioned new energy vehicle 400.

[0069] The system 10 for guiding users to use new energy vehicles according to the embodiment of the present invention can improve users' current unreasonable vehicle use habits, slow down battery degradation, and increase battery life.

[0070] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0071] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0072] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0073] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0074] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for guiding users to use new energy vehicles, characterized in that: The method comprises: Acquire vehicle usage habit data of a target new energy vehicle, wherein the vehicle usage habit data includes at least one of a vehicle charging behavior parameter, a vehicle driving behavior parameter, and a vehicle parking behavior parameter; Predicting the battery life attenuation of the target new energy vehicle based on the vehicle usage habit data, and rating the charging behavior, driving behavior and / or parking behavior based on the battery life attenuation; A vehicle usage recommendation is generated according to the rating result, and the vehicle usage recommendation is sent to a terminal device bound to the target new energy vehicle to guide the user to use the target new energy vehicle.

2. The method for guiding users to use new energy vehicles according to claim 1, characterized in that: The vehicle usage habit data refers to the vehicle usage data within a past preset mileage or a past preset time uploaded to the cloud server by the target new energy vehicle when the target new energy vehicle meets the preset conditions, wherein the preset conditions include at least one of the mileage of the target new energy vehicle exceeding the preset mileage and the vehicle usage time exceeding the preset time.

3. The method for guiding users to use new energy vehicles according to claim 2, characterized in that: The preset condition also includes: the current battery discharge capacity of the target new energy vehicle is lower than the expected capacity threshold, or the current battery discharge capacity is not lower than the expected capacity threshold and the target new energy vehicle receives the notification information sent by the cloud server; wherein the method also includes: Continuously obtaining the battery capacity of the target new energy vehicle; When the current battery discharge capacity is not less than the expected capacity threshold, a battery attenuation rate curve is obtained by fitting the battery capacity of the target new energy vehicle in the past preset mileage or the past preset time; A target capacity threshold is determined according to the battery attenuation rate curve, and when the current battery discharge capacity is lower than the target capacity threshold, the notification information is sent to the target new energy vehicle.

4. The method for guiding users to use new energy vehicles according to claim 1, characterized in that: The vehicle charging behavior parameters include at least two of the charging power, charging mode, charging and discharging temperature, charging and discharging current, charging start SOC range, and charging end SOC range; The vehicle driving behavior parameter includes at least one of high-speed driving mileage data, rapid acceleration driving condition data, and rapid deceleration driving condition data; The vehicle parking behavior parameter includes at least one of battery power, parking duration, and parking environment temperature during parking.

5. The method for guiding users to use new energy vehicles according to claim 4, characterized in that: The predicting of the battery life attenuation of the target new energy vehicle according to the vehicle usage habit data, and rating the charging behavior, driving behavior and / or parking behavior according to the battery life attenuation, includes: If the battery degradation predicted according to the vehicle charging behavior parameters is higher than expected, the charging behavior is rated as a low level; If the battery degradation predicted according to the vehicle driving behavior parameters is higher than expected, the driving behavior is rated as a low level; If the battery degradation predicted according to the vehicle parking behavior parameters is higher than expected, the parking behavior is rated as a low level.

6. The method for guiding users to use new energy vehicles according to claim 5, characterized in that: Generating a car recommendation based on the rating result includes: If the rating of charging behavior is low, the generated car use suggestion is a charging suggestion; If the rating of the driving behavior is low, the generated car use suggestion is a driving suggestion; If the rating of the parking behavior is low, the generated car use suggestion is a parking suggestion.

7. The method for guiding users to use new energy vehicles according to claim 4, characterized in that: The method further comprises: When it is estimated that the charging and discharging temperature is too high or too low, causing the battery life decay speed to exceed expectations, sending a first control signal to the target new energy vehicle, so that the battery management system of the target new energy vehicle performs battery thermal management according to the first control signal; When it is estimated that the charge and discharge current is too large, causing the battery life to decay faster than expected, a second control signal is sent to the target new energy vehicle so that the battery management system of the target new energy vehicle controls the battery charge and discharge power according to the second control signal.

8. A cloud server, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory. When the computer program is executed by the processor, the method for guiding a user to use a new energy vehicle according to any one of claims 1 to 7 is implemented.

9. A new energy vehicle, characterized in that: include: A battery management system, configured to upload vehicle usage habit data to a cloud server, so that the cloud server predicts the battery life decay of the new energy vehicle according to the vehicle usage habit data, and rates the charging behavior, driving behavior and / or parking behavior according to the battery life decay, and generates vehicle usage recommendations according to the rating results, wherein the vehicle usage habit data includes at least one of a vehicle charging behavior parameter, a vehicle driving behavior parameter, and a vehicle parking behavior parameter; The smart cockpit is used to receive and display the vehicle usage suggestions sent by the cloud server to guide the user to use the new energy vehicle.

10. A system for guiding users to use new energy vehicles, characterized in that: include: The cloud server according to claim 8 and the new energy vehicle according to claim 9.

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