Parameter setting method and device of electric vehicle and readable storage medium

By obtaining and correcting parameters such as electric vehicle power threshold, sampling period and trigger times, the problem of inaccurate setting of electric vehicle parameters is solved, the charging alarm process is optimized, the battery life is extended, and the user experience is improved.

CN119261670AActive Publication Date: 2025-01-07DONGFENG MOTOR GRP
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Patent Information

Application Number
CN202411407157.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-10
Publication Date
2025-01-07
Estimated Expiration
2044-10-10

AI Technical Summary

Technical Problem

The existing electric vehicles parameter setting method is difficult to accurately set according to the vehicle battery status and user needs, resulting in inaccurate parameters, affecting the charging alarm process and battery life.

Method used

By obtaining and correcting parameters such as power threshold, sampling period and trigger times for electric vehicles, these parameters are automatically updated to ensure their accuracy and real-time performance, optimize the charging alarm process and extend battery life.

Benefits of technology

It realizes the accuracy and real-time performance of electric vehicle parameters, optimizes the charging alarm process, extends battery life, and improves the user's driving experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a parameter setting method and device of an electric vehicle and a readable storage medium, and relates to the technical field of new energy vehicles. The parameter setting method of the electric vehicle comprises the steps that a first electric quantity threshold value, a second electric quantity threshold value, a first sampling period and a first triggering frequency stored by the electric vehicle are obtained, and the first electric quantity threshold value is smaller than the second electric quantity threshold value; in the first sampling period, multiple pieces of low-electric-quantity information sent by the electric vehicle are received, and the low-electric-quantity information is information sent when the electric quantity of the electric vehicle is smaller than a first electric quantity threshold value; under the condition that the number of the multiple pieces of low-electric-quantity information is larger than the first triggering frequency, parameter correction is conducted on the first electric quantity threshold value, the second electric quantity threshold value, the first sampling period and the first triggering frequency, so that a third electric quantity threshold value, a fourth electric quantity threshold value, the second sampling period and the second triggering frequency are obtained, the third power threshold is smaller than the fourth power threshold; and the third electric quantity threshold value, the fourth electric quantity threshold value, the second sampling period and the second triggering frequency are sent to the electric vehicle to replace the first electric quantity threshold value, the second electric quantity threshold value, the first sampling period and the first triggering frequency stored in the electric vehicle. The parameter accuracy of the electric automobile is ensured, the charging alarm process of the electric automobile is optimized, and the service life of a battery of the electric automobile is prolonged.
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Description

Technical Field

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

[0002] In today's society, with the rapid development of electric vehicles, electric vehicles are more environmentally friendly, energy-saving and efficient, so more and more users choose to buy electric vehicles. For the vehicle charging management system in electric vehicles, it is necessary to set parameters such as power warning thresholds, but traditional vehicle charging management systems often find it difficult to accurately set vehicle parameters according to vehicle battery status and user needs. It can be seen that the existing electric vehicle parameter setting methods have technical problems such as inaccurate parameter setting. Summary of the invention

[0003] The embodiments of the present application provide a method, device and readable storage medium for setting parameters of an electric vehicle, which are used to solve technical problems such as inaccurate parameter setting of electric vehicles in the prior art.

[0004] In a first aspect of an embodiment of the present application, a method for setting parameters of an electric vehicle is provided, the method comprising:

[0005] Obtaining a first power threshold, a second power threshold, a first sampling period, and a first triggering number of electric vehicle storage, wherein the first power threshold is less than the second power threshold;

[0006] In a first sampling period, a plurality of low-battery information sent by the electric vehicle is received, wherein the low-battery information is information sent when the battery level of the electric vehicle is less than a first battery level threshold;

[0007] When the number of the multiple low-battery information is greater than the first trigger number, the first battery threshold, the second battery threshold, the first sampling period and the first trigger number are respectively modified to obtain a third battery threshold, a fourth battery threshold, the second sampling period and the second trigger number, wherein the third battery threshold is less than the fourth battery threshold;

[0008] The third power threshold, the fourth power threshold, the second sampling period and the second triggering number are sent to the electric vehicle to replace the first power threshold, the second power threshold, the first sampling period and the first triggering number stored in the electric vehicle.

[0009] The parameter setting method of the electric vehicle in this embodiment automatically corrects parameters such as the first power threshold, the second power threshold, the first sampling period and the first trigger number in the electric vehicle, so that the first power threshold, the second power threshold, the first sampling period and the first trigger number are updated to the third power threshold, the fourth power threshold, the second sampling period and the second trigger number, thereby ensuring the accuracy and real-time performance of the parameters of the electric vehicle, optimizing the charging alarm process of the electric vehicle, and extending the battery life of the electric vehicle.

[0010] In some embodiments, performing parameter correction on the first power threshold to obtain a third power threshold includes:

[0011] Acquire multiple first historical thresholds corresponding to the first power threshold;

[0012] Acquire a plurality of first parameters corresponding to a plurality of first historical thresholds one by one, and acquire a second parameter and a third parameter corresponding to the first power threshold;

[0013] A third power threshold is determined according to the plurality of first historical thresholds, the plurality of first parameters, the second parameter and the third parameter.

[0014] In some embodiments, performing parameter correction on the second power threshold to obtain a fourth power threshold includes:

[0015] Acquire multiple second historical thresholds corresponding to the second power threshold;

[0016] Acquire a plurality of fourth parameters corresponding one-to-one to the plurality of second historical thresholds, and acquire a fifth parameter and a sixth parameter corresponding to the second power threshold;

[0017] A third power threshold is determined according to the plurality of second historical thresholds, the plurality of second parameters, the fifth parameter and the sixth parameter.

[0018] In some embodiments, performing parameter correction on the first triggering number to obtain the second triggering number includes:

[0019] Acquire multiple low battery times of the electric vehicle in multiple historical sampling periods, where the low battery times are the number of times the battery level of the electric vehicle is less than a first battery level threshold in the historical sampling period;

[0020] Calculate the sum, average and standard deviation of multiple low battery times respectively to obtain the total number of times, the average number of times and the standard deviation of times;

[0021] Get the pre-stored confidence level value;

[0022] The second triggering number is determined according to the number mean, the number standard deviation, the confidence level value and the total number of times.

[0023] In some embodiments, when the power level of the electric vehicle is less than the second power level threshold, the method further includes:

[0024] Receiving a plurality of distance information sent by the electric vehicle, wherein the plurality of distance information respectively represent distances between the electric vehicle and a plurality of charging stations;

[0025] Determining a first driving range of the electric vehicle based on the plurality of distance information;

[0026] The first driving range is sent to the electric vehicle.

[0027] In some embodiments, performing parameter correction on the first sampling period to obtain the second sampling period includes:

[0028] Calculate the difference between the first power threshold and the second power threshold to obtain a first change value;

[0029] Calculate the difference between the third power threshold and the fourth power threshold to obtain a second change value;

[0030] Calculate the difference between the first triggering number and the second triggering number to obtain a third change value;

[0031] Obtaining a stored second driving range;

[0032] Calculate the change value of the first driving range and the second driving range to obtain a fourth change value;

[0033] A second sampling period is determined according to the first change value, the second change value, the third change value, and the fourth change value.

[0034] In some embodiments, when the power level of the electric vehicle is less than a second power threshold, the electric vehicle issues a low-power warning and displays charging stations within the first driving range.

[0035] In some embodiments, after obtaining the first power threshold, the second power threshold, the first sampling period, and the first triggering number of electric vehicle storage, the method further includes:

[0036] When the number of the plurality of low-battery information is less than or equal to the first triggering number, the first battery threshold, the second battery threshold, the first sampling period and the first triggering number stored in the electric vehicle are maintained.

[0037] In a second aspect of the embodiment of the present application, another electric vehicle parameter setting device is provided, comprising a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the steps of the electric vehicle parameter setting method in any of the above embodiments are implemented. Therefore, the electric vehicle parameter setting device has all the beneficial effects of the electric vehicle parameter setting method in any of the above embodiments, which will not be described in detail here.

[0038] In a third aspect of the embodiments of the present application, a readable storage medium is provided, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the electric vehicle parameter setting method in any of the above embodiments are implemented. Therefore, the readable storage medium has all the beneficial effects of the electric vehicle parameter setting method in any of the above embodiments, which will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. ;

[0040] Figure 1 A flow chart of a method for setting parameters of an electric vehicle provided in an embodiment of the present application;

[0041] Figure 2 A functional module block diagram of a parameter setting device for an electric vehicle provided in an embodiment of the present application;

[0042] Figure 3 A functional schematic diagram of a parameter setting device for an electric vehicle provided in an embodiment of the present application;

[0043] Figure 4 This is a structural block diagram of a parameter setting device for an electric vehicle provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] In order to better understand the technical solutions provided by the embodiments of this specification, the technical solutions of the embodiments of this specification are described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of this specification and the specific features in the embodiments are detailed descriptions of the technical solutions of the embodiments of this specification, rather than limitations on the technical solutions of this specification. In the absence of conflict, the embodiments of this specification and the technical features in the embodiments can be combined with each other.

[0045] In this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or equipment. In the absence of more restrictions, the elements limited by the statement "comprise one..." do not exclude the existence of other identical elements in the process, method, article or equipment including the elements. The term "more than two" includes two or more than two situations.

[0046] In some embodiments, Figure 1 A flow chart of a method for setting parameters of an electric vehicle provided in an embodiment of the present application, such as Figure 1 As shown, a parameter setting method for an electric vehicle is proposed, comprising:

[0047] Step S101, obtaining a first power threshold, a second power threshold, a first sampling period and a first triggering number stored in the electric vehicle.

[0048] In this embodiment, a first power threshold, a second power threshold, a first sampling period and a first trigger number pre-stored in the electric vehicle are read, wherein the first power threshold is the power threshold for sampling electric vehicle parameters by a cloud server, and the second power threshold is the power threshold for reminding a user to charge the electric vehicle, and the first power threshold is less than the second power threshold.

[0049] The first sampling period is a period for the cloud server to sample the electric vehicle parameters, and the first triggering number indicates the number of times the electric power of the electric vehicle is triggered to be lower than the first power threshold.

[0050] Exemplarily, the first power threshold may be a recommended charging threshold for the electric vehicle, and the second power threshold may be a power warning threshold.

[0051] Exemplarily, the first sampling period may be 7 days, and the first triggering number may be 10 times.

[0052] Exemplarily, the first power threshold may be 20%, and the second power threshold may be 40%.

[0053] Exemplarily, it can be executed by a cloud server, and the cloud server reads a first power threshold, a second power threshold, a first sampling period, and a first triggering number pre-stored in the electric vehicle.

[0054] Exemplarily, the cloud server may read a configuration file of the electric vehicle, where the configuration file includes parameters such as a first power threshold, a second power threshold, a first sampling period, and a first triggering number.

[0055] Step S102: receiving a plurality of low-battery information sent by the electric vehicle within a first sampling period.

[0056] In a first sampling period, a plurality of low-battery information sent by the electric vehicle is received, wherein the low-battery information is information sent when the battery level of the electric vehicle is less than a first battery level threshold.

[0057] Exemplarily, when the power level of the electric vehicle is less than a first power threshold, the electric vehicle may send low power information to the cloud server.

[0058] Exemplarily, the cloud server may store a plurality of low-battery information sent by the electric vehicle within a first sampling period.

[0059] Step S103, when the number of multiple low-battery information is greater than the first trigger number, the first battery threshold, the second battery threshold, the first sampling period and the first trigger number are respectively modified to obtain the third battery threshold, the fourth battery threshold, the second sampling period and the second trigger number.

[0060] Count the number of multiple low-battery information. When the number of multiple low-battery information is greater than the first trigger number, perform parameter correction on the first battery threshold, the second battery threshold, the first sampling period, and the first trigger number, respectively, to obtain the third battery threshold, the fourth battery threshold, the second sampling period, and the second trigger number, and the third battery threshold is less than the fourth battery threshold.

[0061] The third power threshold is a power threshold corrected from the first power threshold, the fourth power threshold is a power threshold corrected from the second power threshold, and the third power threshold is less than the fourth power threshold.

[0062] The second sampling period is the sampling period corrected by the first sampling period, and the second triggering number is the triggering number corrected by the first triggering number.

[0063] Exemplarily, the cloud server counts the number of low-battery messages sent by the electric vehicle to determine the number of the low-battery messages.

[0064] It should be noted that by respectively performing real-time parameter correction on the first power threshold, the second power threshold, the first sampling period and the first trigger number, the real-time and accuracy of parameters such as the third power threshold, the fourth power threshold, the second sampling period and the second trigger number are ensured. In addition, by automatically correcting the parameters of the first power threshold, the second power threshold, the first sampling period and the first trigger number, the automatic parameter setting function of the electric vehicle is realized.

[0065] For example, due to reasons such as aging of the battery of an electric vehicle, the rated capacity of the vehicle battery will decrease. The cloud server can reduce the first power threshold to obtain a third power threshold, that is, the third power threshold is smaller than the first power threshold, and reduce the second power threshold to obtain a fourth power threshold, that is, the fourth power threshold is smaller than the second power threshold, so that parameters such as the third power threshold and the fourth power threshold are more in line with the battery aging of the electric vehicle, thereby optimizing the user's driving experience.

[0066] For example, if the user's charging habits are relatively conservative, that is, the car's battery level is high during charging, the cloud server can increase the first battery threshold to obtain a third battery threshold, that is, the third battery threshold is greater than the first battery threshold, and increase the second battery threshold to obtain a fourth battery threshold, that is, the fourth battery threshold is higher than the second battery threshold, so that parameters such as the third battery threshold and the fourth battery threshold are more in line with the user's charging habits, thereby optimizing the user's driving experience.

[0067] Step S104, sending the third power threshold, the fourth power threshold, the second sampling period and the second triggering number to the electric vehicle to replace the first power threshold, the second power threshold, the first sampling period and the first triggering number stored in the electric vehicle.

[0068] The third power threshold, the fourth power threshold, the second sampling period and the second trigger number are sent to the electric vehicle, and the electric vehicle is controlled to replace the stored first power threshold, the second power threshold, the first sampling period and the first trigger number with the third power threshold, the fourth power threshold, the second sampling period and the second trigger number respectively.

[0069] Exemplarily, the electric vehicle may re-store the third power threshold, the fourth power threshold, the second sampling period, and the second triggering number to obtain a new configuration file.

[0070] The parameter setting method of the electric vehicle in this embodiment automatically corrects parameters such as the first power threshold, the second power threshold, the first sampling period and the first trigger number in the electric vehicle, so that the first power threshold, the second power threshold, the first sampling period and the first trigger number are updated to the third power threshold, the fourth power threshold, the second sampling period and the second trigger number, thereby ensuring the accuracy and real-time performance of the parameters of the electric vehicle, optimizing the charging alarm process of the electric vehicle, and extending the battery life of the electric vehicle.

[0071] In some embodiments, a parameter setting method for an electric vehicle is proposed, wherein a parameter correction is performed on a first power threshold to obtain a third power threshold, including:

[0072] Step S201, obtaining a plurality of first historical thresholds corresponding to a first power threshold.

[0073] In this embodiment, a plurality of first historical thresholds corresponding to the first power threshold are acquired, wherein the first historical threshold is a historical setting value corresponding to the first power threshold.

[0074] Exemplarily, the first historical threshold is a historical power threshold stored in the cloud server.

[0075] Step S202, obtaining a plurality of first parameters corresponding to a plurality of first historical thresholds one by one, and obtaining a second parameter and a third parameter corresponding to the first power threshold.

[0076] A plurality of pre-stored first parameters, second parameters and third parameters are obtained, wherein the first parameter, the second parameter and the third parameter are parameters for determining a third power threshold, and the plurality of first parameters correspond one-to-one to the plurality of first historical thresholds.

[0077] Exemplarily, a data analysis model corresponding to the first power threshold is obtained, and the first parameter, the second parameter, and the third parameter may be model fitting parameters of the data analysis model.

[0078] Step S203, determining a third power threshold according to the plurality of first historical thresholds, the plurality of first parameters, the second parameter and the third parameter.

[0079] Data operation is performed on the plurality of first historical thresholds, the plurality of first parameters, the second parameter and the third parameter to obtain a third power threshold.

[0080] Exemplarily, the calculation formula of the third power threshold is as follows:

[0081]

[0082] Among them, S0 is the third power threshold, S0 (t-i) represents the first historical threshold of the previous i-th time series, t is the sequence number, B irepresents the i-th first parameter, A0 is the second parameter, E0 is the third parameter, and p is the number of the first historical thresholds.

[0083] The parameter setting method of the electric vehicle in this embodiment obtains a third power threshold by performing data calculations on multiple first historical thresholds, multiple first parameters, second parameters and third parameters, thereby ensuring the data accuracy and real-time nature of the third power threshold, and further ensuring the parameter accuracy and real-time nature of the electric vehicle.

[0084] In some embodiments, a parameter setting method for an electric vehicle is proposed, wherein a parameter correction is performed on a second power threshold to obtain a fourth power threshold, including:

[0085] Step S301, obtaining multiple second historical thresholds corresponding to the second power threshold.

[0086] In this embodiment, a plurality of second historical thresholds corresponding to the second power threshold are acquired, wherein the second historical threshold is a historical setting value corresponding to the second power threshold.

[0087] Exemplarily, the second historical threshold is a historical power threshold stored in the cloud server.

[0088] Step S302, obtaining a plurality of fourth parameters corresponding one-to-one to a plurality of second historical thresholds, and obtaining a fifth parameter and a sixth parameter corresponding to the second power threshold.

[0089] A plurality of pre-stored fourth parameters, fifth parameters and sixth parameters are obtained, wherein the fourth parameter, fifth parameter and sixth parameter are parameters for determining a fourth power threshold, and the plurality of fourth parameters correspond one-to-one to the plurality of second historical thresholds.

[0090] Exemplarily, a data analysis model corresponding to the second power threshold is obtained, and the fourth parameter, the fifth parameter, and the sixth parameter may be model fitting parameters of the data analysis model.

[0091] Step S303, determining a third power threshold according to the plurality of second historical thresholds, the plurality of fourth parameters, the fifth parameter and the sixth parameter.

[0092] Data operation is performed on the plurality of second historical thresholds, the plurality of fourth parameters, the fifth parameter and the sixth parameter to obtain a fourth power threshold.

[0093] Exemplarily, the calculation formula of the fourth power threshold is as follows:

[0094]

[0095] Among them, S1 is the fourth power threshold, S1 (t-i) represents the second historical threshold of the previous i in the time series, t is the sequence number, B irepresents the i-th fourth parameter, A0 is the fifth parameter, E0 is the sixth parameter, and p is the number of the second historical threshold.

[0096] The parameter setting method of the electric vehicle in this embodiment obtains the fourth power threshold by performing data calculation on multiple second historical thresholds, multiple fourth parameters, fifth parameters and sixth parameters, thereby ensuring the data accuracy and real-time nature of the fourth power threshold, and further ensuring the parameter accuracy and real-time nature of the electric vehicle.

[0097] In some embodiments, a parameter setting method for an electric vehicle is proposed, which performs parameter correction on a first triggering number to obtain a second triggering number, including:

[0098] Step S401, obtaining multiple low battery times of the electric vehicle in multiple historical sampling periods.

[0099] In this embodiment, multiple low battery times of the electric vehicle in multiple historical sampling periods are obtained, wherein the low battery times are the times when the battery power of the electric vehicle is less than a first battery power threshold in the historical sampling period, and the historical sampling period is a sampling period in history.

[0100] Exemplarily, the second triggering number is calculated using a statistical hypothesis testing method, that is, historical data is used for calculation.

[0101] Step S402, respectively calculating the sum, average value and standard deviation of a plurality of low battery times to obtain the total number of times, the average number of times and the standard deviation of times.

[0102] Calculate the sum, average and standard deviation of multiple low-battery times to obtain the total number of times, the average number of times and the standard deviation of times, where the total number of times represents the total number of samples of multiple low-battery times, the average number of times is the average of multiple low-battery times, and the standard deviation of times is the standard deviation of multiple low-battery times.

[0103] Step S403: obtaining a pre-stored confidence level value.

[0104] The confidence level value indicates the confidence level corresponding to multiple low battery times.

[0105] Step S404, determining the second triggering number according to the number average, the number standard deviation, the confidence level value and the total number of times.

[0106] Perform data calculation on the number mean, number standard deviation, confidence level value and total number of times to obtain the second trigger number.

[0107] Exemplarily, the calculation formula of the second trigger number is as follows:

[0108] t=μ+Z α×(σ / sqrt(n));

[0109] Among them, t is the second trigger number, Z α is the confidence level value, μ is the mean value, σ is the standard deviation, n is the total number of times, and for the usual 95% confidence level, the value of is approximately 1.96 (the critical value under the standard normal distribution).

[0110] The parameter setting method of the electric vehicle in this embodiment obtains the second trigger number by performing data calculations on the average number of times, the standard deviation of the number of times, the confidence level value and the total number of times, thereby ensuring the data accuracy and real-time nature of the second trigger number, and further ensuring the parameter accuracy and real-time nature of the electric vehicle.

[0111] In some embodiments, a parameter setting method for an electric vehicle is provided. When the power level of the electric vehicle is less than a second power level threshold, the method further includes:

[0112] Step S501, receiving a plurality of distance information sent by the electric vehicle.

[0113] In an embodiment, when the power level of the electric vehicle is less than a second power level threshold, it indicates that the electric vehicle needs to be charged, and multiple distance information sent by the electric vehicle is received, wherein the multiple distance information respectively represent the distances between the electric vehicle and multiple charging stations.

[0114] Exemplarily, the distance between the electric vehicle and a plurality of charging stations is determined by an external system.

[0115] Step S502: determining a first driving range of the electric vehicle according to a plurality of distance information.

[0116] Based on the plurality of distance information, a first driving range of the electric vehicle can be determined, wherein the first driving range represents a range within which a charging station can be reached.

[0117] Illustratively, the charging stations within the first driving range are charging stations that the electric vehicle can reach with the current power level.

[0118] Step S503: sending the first driving range to the electric vehicle.

[0119] The first driving range is transmitted to the electric vehicle, and the first driving range is displayed on a display of the electric vehicle.

[0120] Exemplarily, when the vehicle battery power drops to the charging warning threshold (i.e., the second power threshold), the cloud pushes a card, voice, or virtual image action to the vehicle computer through a message notification to inform the driver that the vehicle is about to reach the recommended charging threshold and the charging planning function can be used. After receiving the driver's confirmation feedback (such as "OK" voice), the vehicle navigation will display the nearby charging stations within kilometers (which can be initially set). If the driver's current feedback refuses (such as "not used" voice), it will not enter the charging plan, but will still send a signal to the cloud when the subsequent battery life is lower than the recommended charging threshold. Further, how to calculate the distance range of the charging station displayed by the vehicle navigation: According to the charging station reached by the owner using the BLMS (Battery Life Monitoring System) charging planning function, after each confirmation feedback from the driver is received, the distance to the charging station will be reported to the cloud platform. The cloud calculates the range that should be displayed based on the user's historical charging habits. The calculation formula for the first driving range is as follows:

[0121]

[0122] Among them, N is the number of data included in the weighted average calculation, γ i Indicates the weighted value of the calculated data, i is the quantity, when γ1=γ2=...=γ N When , the calculation result a is the unweighted average of N data.

[0123] The parameter setting method of the electric vehicle in this embodiment can determine the first driving range of the electric vehicle based on multiple distance information, ensure the data accuracy and real-time performance of the first driving range, and improve the driving experience of the vehicle driver.

[0124] In some embodiments, a parameter setting method for an electric vehicle is proposed, which performs parameter correction on a first sampling period to obtain a second sampling period, including:

[0125] Step S601, calculating the difference between the first power threshold and the second power threshold to obtain a first change value.

[0126] In this embodiment, the difference between the first power threshold and the second power threshold is calculated to obtain a first change value, wherein the first change value represents the numerical change between the first power threshold and the second power threshold.

[0127] Step S602: Calculate the difference between the third power threshold and the fourth power threshold to obtain a second change value.

[0128] The difference between the third power threshold and the fourth power threshold is calculated to obtain a second change value, wherein the second change value represents the numerical change between the third power threshold and the fourth power threshold.

[0129] Step S603, calculating the difference between the first triggering number and the second triggering number to obtain a third change value.

[0130] The difference between the first triggering number and the second triggering number is calculated to obtain a third change value, wherein the third change value represents the numerical change between the first triggering number and the second triggering number.

[0131] Step S604, obtaining the stored second driving range.

[0132] A stored second driving range is acquired, wherein the second driving range is a preset driving range.

[0133] Exemplarily, the second driving range is a driving range that has been historically displayed by the electric vehicle.

[0134] Step S605, calculating the change value of the first driving range and the second driving range to obtain a fourth change value.

[0135] The change values ​​of the first driving range and the second driving range are calculated to obtain a fourth change value, wherein the fourth change value represents a numerical change amount between the first driving range and the second driving range.

[0136] Step S606, determining a second sampling period according to the first change value, the second change value, the third change value and the fourth change value.

[0137] Data operation is performed on the first change value, the second change value, the third change value and the fourth change value to obtain a second sampling period.

[0138] Exemplarily, the calculation formula of the second sampling period is as follows:

[0139] T=T0-(α×ΔS0+β×ΔS1+γ×Δt+δ×Δa);

[0140] Among them, T0 is the previous sampling period (ie, the first sampling period), α, β, γ, δ are weighting coefficients respectively, ΔS0 is the first change value, ΔS1 is the second change value, Δt is the third change value, and Δa is the fourth change value.

[0141] The parameter setting method of the electric vehicle in this embodiment performs data calculation on the first change value, the second change value, the third change value and the fourth change value to obtain a second sampling period, thereby ensuring the data accuracy and real-time performance of the second sampling period, and further ensuring the parameter accuracy and real-time performance of the electric vehicle.

[0142] In some embodiments, a parameter setting method for an electric vehicle is proposed. When the power level of the electric vehicle is less than a second power threshold, the electric vehicle issues a low power warning and displays charging stations within a first driving range.

[0143] In some embodiments, a parameter setting method for an electric vehicle is proposed. After obtaining a first power threshold, a second power threshold, a first sampling period, and a first triggering number stored in the electric vehicle, the method further includes:

[0144] Step S701, when the number of the plurality of low-battery information is less than or equal to the first triggering number, the first battery threshold, the second battery threshold, the first sampling period and the first triggering number stored in the electric vehicle are maintained.

[0145] In this embodiment, when the number of multiple low-battery information is less than or equal to the first trigger number, it indicates that the electric vehicle does not need to correct parameters and maintains the first battery threshold, the second battery threshold, the first sampling period and the first trigger number stored in the electric vehicle.

[0146] The parameter setting method of the electric vehicle in this embodiment keeps parameters such as the first power threshold, the second power threshold, the first sampling period and the first trigger number unchanged when the number of multiple low-power information is less than or equal to the first trigger number, thereby optimizing the charging alarm process of the electric vehicle and extending the battery life of the electric vehicle.

[0147] Figure 2 The functional module block diagram of the electric vehicle parameter setting device provided in the embodiment of the present application is as follows: Figure 2 As shown, in an embodiment of the present application, a parameter setting device 800 for an electric vehicle is provided, comprising:

[0148] An acquisition unit 802 is used to acquire a first power threshold, a second power threshold, a first sampling period, and a first triggering number stored in the electric vehicle, wherein the first power threshold is less than the second power threshold;

[0149] The receiving unit 804 is used to receive a plurality of low-battery information sent by the electric vehicle within a first sampling period, wherein the low-battery information is information sent when the battery level of the electric vehicle is less than a first battery level threshold;

[0150] The processing unit 806 is used to perform parameter correction on the first power threshold, the second power threshold, the first sampling period and the first trigger number respectively to obtain a third power threshold, a fourth power threshold, the second sampling period and the second trigger number when the number of the multiple low power information is greater than the first trigger number, wherein the third power threshold is less than the fourth power threshold;

[0151] The sending unit 808 is used to send the third power threshold, the fourth power threshold, the second sampling period and the second trigger number to the electric vehicle to replace the first power threshold, the second power threshold, the first sampling period and the first trigger number stored in the electric vehicle.

[0152] In this embodiment, a first power threshold, a second power threshold, a first sampling period and a first trigger number pre-stored in the electric vehicle are read, wherein the first power threshold is the power threshold for sampling electric vehicle parameters by a cloud server, and the second power threshold is the power threshold for reminding a user to charge the electric vehicle, and the first power threshold is less than the second power threshold.

[0153] The first sampling period is a period for the cloud server to sample the electric vehicle parameters, and the first triggering number indicates the number of times the electric power of the electric vehicle is triggered to be lower than the first power threshold.

[0154] Exemplarily, the first power threshold may be a recommended charging threshold for the electric vehicle, and the second power threshold may be a power warning threshold.

[0155] Exemplarily, the first sampling period may be 7 days, and the first triggering number may be 10 times.

[0156] Exemplarily, it can be executed by a cloud server, and the cloud server reads a first power threshold, a second power threshold, a first sampling period, and a first triggering number pre-stored in the electric vehicle.

[0157] Exemplarily, the cloud server may read a configuration file of the electric vehicle, where the configuration file includes parameters such as a first power threshold, a second power threshold, a first sampling period, and a first triggering number.

[0158] In a first sampling period, a plurality of low-battery information sent by the electric vehicle is received, wherein the low-battery information is information sent when the battery level of the electric vehicle is less than a first battery level threshold.

[0159] Exemplarily, when the power level of the electric vehicle is less than a first power threshold, the electric vehicle may send low power information to the cloud server.

[0160] Exemplarily, the cloud server may store a plurality of low-battery information sent by the electric vehicle within a first sampling period.

[0161] Count the number of multiple low-battery information. When the number of multiple low-battery information is greater than the first trigger number, perform parameter correction on the first battery threshold, the second battery threshold, the first sampling period, and the first trigger number, respectively, to obtain the third battery threshold, the fourth battery threshold, the second sampling period, and the second trigger number, and the third battery threshold is less than the fourth battery threshold.

[0162] The third power threshold is a power threshold corrected from the first power threshold, the fourth power threshold is a power threshold corrected from the second power threshold, and the third power threshold is less than the fourth power threshold.

[0163] The second sampling period is the sampling period corrected by the first sampling period, and the second triggering number is the triggering number corrected by the first triggering number.

[0164] Exemplarily, the cloud server counts the number of low-battery messages sent by the electric vehicle to determine the number of the low-battery messages.

[0165] It should be noted that by respectively performing real-time parameter correction on the first power threshold, the second power threshold, the first sampling period and the first trigger number, the real-time and accuracy of parameters such as the third power threshold, the fourth power threshold, the second sampling period and the second trigger number are ensured. In addition, by automatically correcting the parameters of the first power threshold, the second power threshold, the first sampling period and the first trigger number, the automatic parameter setting function of the electric vehicle is realized.

[0166] For example, due to reasons such as aging of the battery of an electric vehicle, the rated capacity of the vehicle battery will decrease. The cloud server can reduce the first power threshold to obtain a third power threshold (i.e., the third power threshold is less than the first power threshold), and reduce the second power threshold to obtain a fourth power threshold (i.e., the fourth power threshold is less than the second power threshold), so that parameters such as the third power threshold and the fourth power threshold are more in line with the battery aging of the electric vehicle, thereby optimizing the user's driving experience.

[0167] The third power threshold, the fourth power threshold, the second sampling period and the second trigger number are sent to the electric vehicle, and the electric vehicle is controlled to replace the stored first power threshold, the second power threshold, the first sampling period and the first trigger number with the third power threshold, the fourth power threshold, the second sampling period and the second trigger number respectively.

[0168] Exemplarily, the electric vehicle may re-store the third power threshold, the fourth power threshold, the second sampling period, and the second triggering number to obtain a new configuration file.

[0169] For example, Figure 3 This is a functional schematic diagram of a parameter setting device for an electric vehicle provided in an embodiment of the present application, such as Figure 3As shown, at the beginning, the cloud needs to configure the trigger times t, charging recommended threshold S0, warning threshold S1, sampling period T and other parameters. When it is found that the vehicle's endurance power is less than or equal to the warning threshold, the vehicle terminal will prompt according to the card, voice or virtual image configuration in the configuration file, reminding the driver that the vehicle is in the recommended charging state and recommending the user to recharge the vehicle. When the vehicle's power is lower than the recommended charging threshold, the data will be uploaded to the cloud platform through the embedding interface and the number of times will be recorded.

[0170] After the driver receives the voice, card and virtual image action prompts, he / she will reply by voice whether to charge. After receiving the reply, the car computer will choose whether to use the charging recommended navigation. Regardless of whether it is used or not, the data will be reported to the cloud when the battery level is lower than the recommended charging threshold.

[0171] When the cloud detects that the battery life is lower than the recommended charging threshold for a number of times greater than or equal to the trigger threshold t within the sampling period T, the sampling period T, recommended charging threshold t1, charging alarm threshold t0 and detection number threshold t and other parameters in the scene engine configuration file will be dynamically adjusted according to the user's historical charging habits, and sent to the file storage system. When the car is turned on, the configuration file will be configured in the BLMS, thereby providing the user or driver with a charging alarm system based on the intelligent scene engine.

[0172] The parameter setting device 800 of the electric vehicle in this embodiment automatically corrects parameters such as the first power threshold, the second power threshold, the first sampling period and the first trigger number in the electric vehicle, so that the first power threshold, the second power threshold, the first sampling period and the first trigger number are updated to the third power threshold, the fourth power threshold, the second sampling period and the second trigger number, thereby ensuring the accuracy and real-time nature of the parameters of the electric vehicle, optimizing the charging alarm process of the electric vehicle, and extending the battery life of the electric vehicle.

[0173] In some embodiments, a parameter setting device 800 for an electric vehicle is provided, further comprising:

[0174] The processing unit 806 is configured to obtain a plurality of first historical thresholds corresponding to the first power threshold;

[0175] The processing unit 806 is used to obtain a plurality of first parameters corresponding to the plurality of first historical thresholds, and obtain a second parameter and a third parameter corresponding to the first power threshold;

[0176] The processing unit 806 is used to determine a third power threshold according to the multiple first historical thresholds, the multiple first parameters, the second parameter and the third parameter.

[0177] In some embodiments, a parameter setting device 800 for an electric vehicle is provided, further comprising:

[0178] The processing unit 806 is configured to obtain a plurality of second historical thresholds corresponding to the second power threshold;

[0179] The processing unit 806 is used to obtain a plurality of fourth parameters corresponding to the plurality of second historical thresholds one by one, and obtain a fifth parameter and a sixth parameter corresponding to the second power threshold;

[0180] The processing unit 806 is used to determine a third power threshold according to the multiple second historical thresholds, the multiple fourth parameters, the fifth parameter and the sixth parameter.

[0181] In some embodiments, a parameter setting device 800 for an electric vehicle is provided, further comprising:

[0182] The processing unit 806 is used to obtain a plurality of low battery times of the electric vehicle in a plurality of historical sampling periods, where the low battery times are the number of times the battery of the electric vehicle is less than a first battery threshold in the historical sampling period;

[0183] The processing unit 806 is used to calculate the sum, average value and standard deviation of multiple low battery times respectively to obtain the total number of times, the average number of times and the standard deviation of times;

[0184] The processing unit 806 is used to obtain a pre-stored confidence level value;

[0185] The processing unit 806 is used to determine the second triggering number according to the number average, the number standard deviation, the confidence level value and the total number of times.

[0186] In some embodiments, a parameter setting device 800 for an electric vehicle is provided, further comprising:

[0187] The processing unit 806 is used to receive a plurality of distance information sent by the electric vehicle, wherein the plurality of distance information respectively represent the distances between the electric vehicle and a plurality of charging stations;

[0188] The processing unit 806 is used to determine a first driving range of the electric vehicle according to the plurality of distance information;

[0189] The processing unit 806 is configured to send the first driving range to the electric vehicle.

[0190] In some embodiments, a parameter setting device 800 for an electric vehicle is provided, further comprising:

[0191] The processing unit 806 is configured to calculate a difference between a first power threshold and a second power threshold to obtain a first change value;

[0192] The processing unit 806 is used to calculate the difference between the third power threshold and the fourth power threshold to obtain a second change value;

[0193] A processing unit 806 is used to calculate the difference between the first triggering number and the second triggering number to obtain a third change value;

[0194] The processing unit 806 is used to obtain the stored second driving range;

[0195] The processing unit 806 is used to calculate the change value of the first driving range and the second driving range to obtain a fourth change value;

[0196] The processing unit 806 is configured to determine a second sampling period according to the first change value, the second change value, the third change value, and the fourth change value.

[0197] In some embodiments, a parameter setting device 800 for an electric vehicle is provided, further comprising:

[0198] The processing unit 806 is used to maintain the first power threshold, the second power threshold, the first sampling period and the first triggering number stored in the electric vehicle when the number of the multiple low power information is less than or equal to the first triggering number.

[0199] In some embodiments, Figure 4 The structural block diagram of the electric vehicle parameter setting device provided in the embodiment of the present application is as follows: Figure 4 As shown, a parameter setting device 900 for an electric vehicle is proposed, and the parameter setting device 900 for an electric vehicle includes a processor 902 and a memory 904. The memory 904 stores a computer program, and when the computer program is executed by the processor 902, the steps of the parameter setting method for an electric vehicle in any of the above embodiments are implemented. Therefore, the parameter setting device 900 for an electric vehicle has all the beneficial effects of the parameter setting method for an electric vehicle in any of the above embodiments, which will not be described in detail here.

[0200] In some embodiments, a readable storage medium is provided, on which a program is stored. When the program is executed by a processor, the steps of the parameter setting method for an electric vehicle in any of the above embodiments are implemented, thereby having all the beneficial technical effects of the parameter setting method for an electric vehicle in any of the above embodiments.

[0201] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0202] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-readable program code.

[0203] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0204] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0205] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0206] An embodiment of the present application further provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device executes the process of the parameter setting method for an electric vehicle.

[0207] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0208] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0209] In the several embodiments provided in the present application, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0210] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0211] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0212] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0213] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

[0214] Although the preferred embodiments of this specification have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of this specification.

[0215] Obviously, those skilled in the art can make various changes and modifications to this specification without departing from the spirit and scope of this specification. Thus, if these modifications and variations of this specification fall within the scope of the claims of this specification and their equivalents, this specification is also intended to include these modifications and variations.

Claims

1. A method for setting parameters of an electric vehicle, characterized in that: The method comprises: Obtaining a first power threshold, a second power threshold, a first sampling period, and a first triggering number of electric vehicle storage, wherein the first power threshold is less than the second power threshold; In the first sampling period, receiving a plurality of low-battery information sent by the electric vehicle, wherein the low-battery information is information sent when the battery level of the electric vehicle is less than the first battery level threshold; When the number of the plurality of low-battery information is greater than the first trigger number, the first battery threshold, the second battery threshold, the first sampling period, and the first trigger number are respectively modified to obtain a third battery threshold, a fourth battery threshold, a second sampling period, and a second trigger number, wherein the third battery threshold is less than the fourth battery threshold; The third power threshold, the fourth power threshold, the second sampling period and the second triggering number are sent to the electric vehicle to replace the first power threshold, the second power threshold, the first sampling period and the first triggering number stored in the electric vehicle.

2. The method according to claim 1, characterized in that Modifying the first power threshold value by parameters to obtain the third power threshold value includes: Acquire multiple first historical thresholds corresponding to the first power threshold; Acquire a plurality of first parameters corresponding one-to-one to a plurality of the first historical thresholds, and acquire a second parameter and a third parameter corresponding to the first power threshold; The third power threshold is determined according to a plurality of the first historical thresholds, a plurality of the first parameters, the second parameter and the third parameter.

3. The method according to claim 1, characterized in that Modifying the second power threshold value by parameters to obtain the fourth power threshold value includes: Acquire multiple second historical thresholds corresponding to the second power threshold; Acquire a plurality of fourth parameters corresponding one-to-one to a plurality of the second historical thresholds, and acquire a fifth parameter and a sixth parameter corresponding to the second power threshold; The third power threshold is determined according to a plurality of the second history thresholds, a plurality of the second parameters, the fifth parameter and the sixth parameter.

4. The method according to claim 1, characterized in that: Modifying the first triggering number of parameters to obtain the second triggering number of parameters includes: Acquire multiple low battery times of the electric vehicle in multiple historical sampling periods, where the low battery times are the number of times the battery power of the electric vehicle is less than the first battery power threshold in the historical sampling period; Calculate the sum, average and standard deviation of the plurality of low battery times respectively to obtain the total number of times, the average number of times and the standard deviation of times; Get the pre-stored confidence level value; The second triggering number is determined according to the number average, the number standard deviation, the confidence level value and the total number of times.

5. The method according to claim 1, characterized in that When the electric power of the electric vehicle is less than the second electric power threshold, the method further includes: Receiving a plurality of distance information sent by the electric vehicle, wherein the plurality of distance information respectively represent the distances between the electric vehicle and a plurality of charging stations; Determining a first driving range of the electric vehicle according to the plurality of distance information; The first driving range is transmitted to the electric vehicle.

6. The method according to claim 5, characterized in that Modifying the first sampling period by parameters to obtain the second sampling period includes: Calculating a difference between the first power threshold and the second power threshold to obtain a first change value; Calculating a difference between the third power threshold and the fourth power threshold to obtain a second change value; Calculating a difference between the first triggering number and the second triggering number to obtain a third change value; Obtaining a stored second driving range; calculating change values ​​of the first driving range and the second driving range to obtain a fourth change value; A second sampling period is determined according to the first change value, the second change value, the third change value and the fourth change value.

7. The method according to claim 5, characterized in that When the electric power level of the electric vehicle is less than the second electric power threshold, the electric vehicle issues a low-battery warning and displays charging stations within the first driving range.

8. The method according to any one of claims 1 to 7, characterized in that After obtaining the first power threshold, the second power threshold, the first sampling period and the first triggering number of electric vehicle storage, the method further includes: When the number of the plurality of low-battery information is less than or equal to the first triggering number, the first battery threshold, the second battery threshold, the first sampling period and the first triggering number stored in the electric vehicle are maintained.

9. A parameter setting device for an electric vehicle, characterized in that: include: processor; A memory, wherein a program or instruction is stored in the memory, and when the processor executes the program or instruction in the memory, the steps of the parameter setting method of the electric vehicle as claimed in any one of claims 1 to 8 are implemented.

10. A readable storage medium having a computer program stored therein, characterized in that: The computer program includes program instructions, and when the program instructions are executed by a processor, the processor is caused to execute the steps of the parameter setting method for an electric vehicle as claimed in any one of claims 1 to 8.

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