CN117984791A - Method, device and computer equipment for determining the battery replacement threshold of electric motorcycle - Google Patents

Abstract

The application relates to a method and a device for determining a power change threshold of an electric bicycle and computer equipment. The method comprises the following steps: acquiring each historical order of each first sample electric bicycle located in a target area in a historical time period; determining a power consumption weight of any first sample electric bicycle based on each historical order of the first sample electric bicycle; determining the daily standby power consumption of each first sample electric bicycle according to the historical standby power consumption of each first sample electric bicycle; determining a standby electric quantity threshold according to the power consumption weight of each first sample electric bicycle and the daily standby power consumption of each first sample electric bicycle; and determining a power change threshold for the target area according to the standby power threshold and the running parameters of each second sample electric bicycle in the target area. By adopting the method, the accuracy of the power conversion threshold value can be improved.

Description

Method, device and computer equipment for determining the battery replacement threshold of electric motorcycle

Technical Field

The present application relates to the field of shared bicycles, and in particular to a method, device and computer equipment for determining a battery replacement threshold of an electric motorcycle.

Background technique

To ensure that shared electric motorcycles can meet the riding needs of users, operators of shared electric motorcycles will regularly check and replace the batteries of shared electric motorcycles. Generally speaking, in order to maximize the power efficiency and avoid the shared electric motorcycles being completely empty and unable to locate, the operator will pre-set a battery replacement threshold, and when the power of a shared electric motorcycle drops below the battery replacement threshold, the shared electric motorcycle will be marked as a motorcycle that needs to be replaced, and then the operation and maintenance personnel will be sent an order to replace the battery of the motorcycle.

In the prior art, the battery replacement threshold is generally set based on experience. It is usually 1/3. However, since shared electric motorcycles are operating in multiple regions at the same time, the situation in each region is different. If a unified battery replacement threshold is set for each region, it will inevitably cause the power of electric motorcycles in some regions to be wasted, while the power of electric motorcycles in some regions is often insufficient. Therefore, the current battery replacement threshold set by experience has the problem of low accuracy.

Summary of the invention

Based on this, it is necessary to provide a method, device and computer equipment for determining the battery replacement threshold of an electric motorcycle in response to the above technical problems.

In a first aspect, the present application provides a method for determining a battery replacement threshold for an electric motorcycle. The method comprises:

Obtaining historical orders of first sample motorcycles located in the target area within a historical time period;

For any of the first sample motorcycles, based on each of the historical orders of the first sample motorcycle, determining a power consumption weight of the first sample motorcycle;

Determining the daily standby power consumption of each of the first sample electric motorcycles according to the historical standby power consumption of each of the first sample electric motorcycles;

Determining a standby power threshold according to the power consumption weight of each of the first sample motorcycles and the daily standby power consumption of each of the first sample motorcycles;

The battery replacement threshold for the target area is determined based on the standby power threshold and the driving parameters of each second sample electric motorcycle in the target area.

In one embodiment, determining the power consumption weight of the first sample electric motorcycle based on each of the historical orders of the first sample electric motorcycle includes:

Determine the historical order volume of the first sample motorcycle based on each of the historical orders of the first sample motorcycle;

Determining the order volume interval to which the historical order volume belongs;

The power consumption weight of the first sample electric motorcycle is determined according to the first preset power consumption weight corresponding to the order quantity interval, and the first preset power consumption weight is negatively correlated with the boundary size of the order quantity interval.

In one embodiment, determining the power consumption weight of the first sample electric motorcycle based on each of the historical orders of the first sample electric motorcycle includes:

Determining each standby interval of the first sample motorcycle based on each of the historical orders of the first sample motorcycle;

For any of the standby intervals, determining a second preset power consumption weight corresponding to the standby interval according to the length of the standby interval, wherein the second preset power consumption weight is positively correlated with the length of the standby interval;

The power consumption weight corresponding to the first sample electric motorcycle is determined according to the second preset power consumption weight corresponding to each of the standby intervals.

In one embodiment, determining the daily standby power consumption of each of the first sample electric motorcycles according to the historical standby power consumption of each of the first sample electric motorcycles includes:

For any of the historical standby power consumptions of any of the first sample electric motorcycles, determining a standby time corresponding to the historical standby power consumption;

For any of the first sample electric motorcycles, the daily standby power consumption corresponding to the first sample electric motorcycle is determined according to each of the historical standby power consumptions of the first sample electric motorcycle and the standby time corresponding to each of the historical standby power consumptions.

In one embodiment, determining the battery replacement threshold for the target area according to the standby power threshold and the driving parameters of each second sample motorcycle in the target area includes:

Determining an expected order volume for the target area according to the driving parameters of each second sample motorcycle in the target area;

According to the expected order volume and the standby power threshold, a battery replacement threshold for the target area is determined, and the battery replacement threshold is positively correlated with the expected order volume.

In one embodiment, determining the battery replacement threshold for the target area according to the expected order volume and the standby power threshold includes:

Determining the power consumption of orders for the target area according to the driving parameters of each second sample motorcycle in the target area;

The battery replacement threshold for the target area is determined based on the order power consumption, the expected order volume and the standby power threshold.

In one embodiment, the method further comprises:

For any target electric motorcycle in the target area, when the target electric motorcycle is in a driving state and the current power of the target electric motorcycle is greater than the standby power threshold and less than the battery replacement threshold, a first alarm message is displayed, wherein the first alarm message is used to indicate that the target electric motorcycle needs to replace the battery; or

When the target motorcycle is in a driving state and the current power level of the target motorcycle is less than or equal to the standby power threshold, a second warning message is displayed, and the second warning message is used to indicate that the target motorcycle cannot continue to drive.

In one embodiment, the method further comprises:

For any target electric motorcycle in the target area, obtaining battery parameters of the target electric motorcycle;

According to the battery parameters of the target electric motorcycle, the battery power of the target electric motorcycle and the standby power threshold, the power display information for the target electric motorcycle is determined, and the power display information is displayed.

In a second aspect, the present application also provides a device for determining a battery replacement threshold of an electric motorcycle. The device comprises:

A first acquisition module is used to acquire each historical order of each first sample motorcycle located in the target area within a historical time period;

A first determination module is used to determine, for any of the first sample motorcycles, a power consumption weight of the first sample motorcycle based on each of the historical orders of the first sample motorcycle;

A second determination module is used to determine the daily standby power consumption of each of the first sample electric motorcycles according to the historical standby power consumption of each of the first sample electric motorcycles;

a third determination module, configured to determine a standby power threshold value according to the power consumption weight of each of the first sample electric motorcycles and the daily standby power consumption of each of the first sample electric motorcycles;

The fourth determination module is used to determine the battery replacement threshold for the target area based on the standby power threshold and the driving parameters of each second sample electric motorcycle in the target area.

In one embodiment, the first determining module is further used to:

Determine the historical order volume of the first sample motorcycle based on each of the historical orders of the first sample motorcycle;

Determining the order volume interval to which the historical order volume belongs;

The power consumption weight of the first sample electric motorcycle is determined according to the first preset power consumption weight corresponding to the order quantity interval, and the first preset power consumption weight is negatively correlated with the boundary size of the order quantity interval.

In one embodiment, the first determining module is further used to:

Determining each standby interval of the first sample motorcycle based on each of the historical orders of the first sample motorcycle;

For any of the standby intervals, determining a second preset power consumption weight corresponding to the standby interval according to the length of the standby interval, wherein the second preset power consumption weight is positively correlated with the length of the standby interval;

The power consumption weight corresponding to the first sample electric motorcycle is determined according to the second preset power consumption weight corresponding to each of the standby intervals.

In one embodiment, the second determining module is further used to:

For any of the historical standby power consumptions of any of the first sample electric motorcycles, determining a standby time corresponding to the historical standby power consumption;

For any of the first sample electric motorcycles, the daily standby power consumption corresponding to the first sample electric motorcycle is determined according to each of the historical standby power consumptions of the first sample electric motorcycle and the standby time corresponding to each of the historical standby power consumptions.

In one embodiment, the third determination module is further used to:

Determining an expected order volume for the target area according to the driving parameters of each second sample motorcycle in the target area;

According to the expected order volume and the standby power threshold, a battery replacement threshold for the target area is determined, and the battery replacement threshold is positively correlated with the expected order volume.

In one embodiment, the third determination module is further used to:

Determining the power consumption of orders for the target area according to the driving parameters of each second sample motorcycle in the target area;

The battery replacement threshold for the target area is determined based on the order power consumption, the expected order volume and the standby power threshold.

In one embodiment, the device further comprises:

A first display module is used to display a first warning message for any target motorcycle in the target area when the target motorcycle is in a driving state and the current power of the target motorcycle is greater than the standby power threshold and less than the battery replacement threshold, wherein the first warning message is used to indicate that the target motorcycle needs to be replaced; or

When the target motorcycle is in a driving state and the current power level of the target motorcycle is less than or equal to the standby power threshold, a second warning message is displayed, and the second warning message is used to indicate that the target motorcycle cannot continue to drive.

In one embodiment, the device further comprises:

A second acquisition module is used to acquire the battery parameters of any target electric motorcycle in the target area;

The second display module is used to determine the power display information for the target electric motorcycle according to the battery parameters of the target electric motorcycle, the battery power of the target electric motorcycle and the standby power threshold, and display the power display information.

In a third aspect, the present application further provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, any one of the above methods is implemented.

In a fourth aspect, the present application further provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, any of the above methods is implemented.

In a fifth aspect, the present application further provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, any of the above methods is implemented.

The above-mentioned method, device and computer equipment for determining the battery replacement threshold of electric motorcycles determine the credibility of the historical standby power consumption of the first sample electric motorcycles, that is, the power consumption weight, based on the historical orders of the first sample electric motorcycles, and then convert the historical standby power consumption of the first sample electric motorcycles into daily standby power consumption, and calculate the standby power threshold that enables each electric motorcycle in the target area to maintain a standby state based on the power consumption weight and the daily standby power consumption, and then determine the battery replacement threshold for the target area based on the standby power threshold and the driving parameters of each second sample electric motorcycle in the target area, so that operation and maintenance personnel can replace the battery of the electric motorcycles whose power is below the battery replacement threshold. The embodiment of the present application calculates the battery replacement threshold for the target area based on the situation of each electric motorcycle in the target area, so that the calculated battery replacement threshold can reflect the situation of each electric motorcycle in the area and improve the accuracy of the battery replacement threshold.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic flow chart of a method for determining a battery replacement threshold value for an electric motorcycle in one embodiment;

FIG2 is a schematic diagram of a flow chart of step 104 in one embodiment;

FIG3 is a schematic diagram of a flow chart of step 104 in one embodiment;

FIG4 is a schematic diagram of a flow chart of step 106 in one embodiment;

FIG5 is a schematic diagram of a flow chart of step 108 in one embodiment;

FIG6 is a schematic diagram of a flow chart of step 504 in one embodiment;

FIG7 is a schematic diagram of the distribution of electric motorcycles whose power levels are lower than the battery replacement threshold in one embodiment;

FIG8 is a schematic flow chart of a method for determining a battery replacement threshold for an electric motorcycle in one embodiment;

FIG9 is a structural block diagram of a device for determining a battery replacement threshold value for an electric motorcycle in one embodiment;

FIG. 10 is a diagram showing the internal structure of a computer device in one embodiment.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

In one embodiment, as shown in FIG1 , a method for determining a battery replacement threshold of an electric motorcycle is provided. This embodiment is illustrated by applying the method to a server. It is understandable that the method can also be applied to a terminal, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

Step 102, obtaining historical orders of each first sample motorcycle located in the target area within a historical time period.

In the embodiment of the present application, the historical time period is a period of time before the current time, such as the 7 days before today, the month before this month, etc., and its specific length can be set by technical personnel in this field according to actual needs. The target area is a pre-set area where the battery replacement threshold needs to be calculated, such as an operating area in a city, a city, etc. The first sample electric motorcycle can be selected from the electric motorcycles that have been in the target area within the historical time period. Technical personnel in this field can set the standard for selecting the first sample electric motorcycle according to actual needs: for example, the electric motorcycles whose parking time in the target area is greater than the time threshold are taken as the first sample electric motorcycles, and the electric motorcycles that have had orders in the target area are taken as the first sample electric motorcycles, etc. The embodiment of the present application does not make specific limitations on this. The historical orders of the first sample electric motorcycle are the orders generated by the first sample electric motorcycle within the historical time period.

Step 104: for any first sample electric motorcycle, determine the power consumption weight of the first sample electric motorcycle based on each historical order of the first sample electric motorcycle.

In the embodiment of the present application, since different first sample electric motorcycles have different conditions and their data reliability is also different, a power consumption weight can be set for each first sample electric motorcycle to characterize the reliability of the historical standby power consumption provided by the first sample electric motorcycle.

The power consumption weight can be determined based on the historical orders of the first sample motorcycle: for example, since the temperature of the parking environment has an impact on the standby power consumption, the location and time at which each historical standby power consumption of the first sample motorcycle is generated can be obtained based on the historical orders of the first sample motorcycle, and then the power consumption weight corresponding to the first sample motorcycle can be set according to the temperature of each location at each time: for example, the power consumption weight corresponding to the first sample motorcycle that generates more historical standby power consumption at a time of extreme temperature can be lower, and the power consumption weight corresponding to the first sample motorcycle at a time of normal temperature can be higher. Or, since the battery health status also has an impact on the standby power consumption, and the frequency of using the motorcycle is related to the battery health status, the battery health status of the first sample motorcycle can be inferred based on the number of historical orders of the first sample motorcycle (for example, the battery health status corresponding to the first sample motorcycle with a large number of historical orders is lower, and the battery health status corresponding to the first sample motorcycle with a small number of historical orders is higher), and then the power consumption weight of each first sample motorcycle can be set according to the battery health status: for example, the power consumption weight of the first sample motorcycle with a poor battery health status is lower, and the power consumption weight of the first sample motorcycle with a good battery health status is higher. The power consumption weight of each first sample electric motorcycle may also be set according to other standards, and the embodiment of the present application does not specifically limit this.

Step 106 , determining the daily standby power consumption of each first sample electric motorcycle according to the historical standby power consumption of each first sample electric motorcycle.

In the embodiment of the present application, since the battery replacement is generally performed once a day, the daily standby power consumption of the motorcycle needs to be considered when calculating the battery replacement threshold. Daily standby power consumption refers to the power consumption required for the motorcycle to standby for 24 hours. Exemplarily, the daily standby power consumption of the first sample motorcycle can be calculated by summing the historical standby power consumption of the first sample motorcycle and the standby time corresponding to each historical standby power consumption, and then according to the ratio of the sum of the historical standby power consumption and the sum of the standby time.

Step 108, determining a standby power threshold value according to the power consumption weight of each first sample electric motorcycle and the daily standby power consumption of each first sample electric motorcycle.

In the embodiment of the present application, the standby power threshold is used to characterize the average power required for the motorcycles in the target area to be in standby mode in a day. The power should be greater than or equal to the average daily standby power consumption of the motorcycles in the target area. The daily standby power consumption of each first sample motorcycle can be weighted and summed according to the power consumption weight of each first sample motorcycle, and then the sum is divided by the number of first sample motorcycles to obtain the average daily standby power consumption. The average daily standby power consumption can be directly used as the standby power threshold; or, considering that in some target areas with larger areas or more dispersed distribution of motorcycles, the battery of the motorcycle may not be replaced once a day, a corresponding regional coefficient can be set for each target area, so that the regional coefficient is positively correlated with the area of the target area or the degree of dispersion of the motorcycles, and then the product of the average daily standby power consumption and the regional coefficient is used as the standby power threshold, and the embodiment of the present application does not specifically limit this.

Step 110, determining the battery replacement threshold for the target area based on the standby power threshold and the driving parameters of each second sample electric motorcycle in the target area.

In the embodiment of the present application, the second sample motorcycle and the first sample motorcycle can be the same motorcycle or different motorcycles. Since the update frequency of the standby power threshold can be slow, and the battery replacement threshold is preferably updated in real time according to the current driving conditions of each motorcycle in the target area, the second sample motorcycle can be a motorcycle that has been in the target area during a time period that is closer to the current time than the historical time period. For example, if the first sample motorcycle is a motorcycle that has been in the target area within 7 days before today, the second sample motorcycle can be a motorcycle that has been in the target area within 1 day before today.

Driving parameters refer to parameters related to each driving of the motorcycle, such as the number of driving times, driving duration, mileage, driving power consumption, etc. Since it takes a certain amount of time for the operation and maintenance personnel to set out and arrive at the location of the motorcycle and replace the battery of the motorcycle, the operation and maintenance personnel are notified of the need to replace the battery of the motorcycle until the battery of the motorcycle has dropped to the standby power threshold. This will cause the motorcycle to be completely unusable before the operation and maintenance personnel come to replace the battery, resulting in a decrease in the efficiency of vehicle use; therefore, a battery replacement threshold that is not lower than the standby power threshold can be determined based on the driving parameters and the standby power threshold, so that the battery replacement threshold can take into account the time period from notifying the operation and maintenance personnel that the motorcycle needs to be replaced to the time when the operation and maintenance personnel come to replace the battery, the motorcycle is still in operation and still receiving the power required for the order.

Exemplarily, the vehicle efficiency of the target area (that is, the ratio of the daily order volume (number of trips) to the number of all available motorcycles in the area) can be calculated based on the number of trips of each second sample motorcycle, and the average power consumption of each order in the target area can be calculated based on the power consumption of each second sample motorcycle, and then the battery replacement threshold can be calculated based on the vehicle efficiency, average power consumption and standby power threshold. For example, the vehicle efficiency can be multiplied by the average power consumption, and the result of the multiplication can be added to the standby power threshold to obtain the battery replacement threshold. Alternatively, considering that the power of the motorcycle cannot be reduced to the standby power threshold while the user is placing an order, the longest mileage within the normal range can also be determined based on the mileage of each second sample motorcycle (for example, an outlier detection algorithm can be used to remove outliers, and then the longest mileage in the remaining mileage can be taken, or the longest mileage can be obtained by a statistical method, and the embodiment of the present application does not specifically limit this), and then the power consumption corresponding to the longest mileage is added to the standby power threshold to obtain the battery replacement threshold. In addition, by assigning a coefficient to each vehicle efficiency, the product of the coefficient corresponding to the vehicle efficiency in the target area and the standby power threshold can be used as the battery replacement threshold, etc. The embodiment of the present application does not make specific limitations on this.

After determining the battery replacement threshold for the target area, the server can continuously monitor the current power uploaded by each motorcycle in the target area, and push the motorcycle to the operation and maintenance personnel when the current power of the motorcycle is less than the battery replacement threshold, so that the operation and maintenance personnel can perform battery replacement on the motorcycle. The battery replacement threshold can be updated regularly, such as once a week or a month, to adapt to the latest usage of motorcycles in the target area.

The method for determining the threshold value for battery replacement of electric motorcycles provided in the embodiment of the present application determines the credibility of the historical standby power consumption of the first sample electric motorcycle based on the historical orders of the first sample electric motorcycle, that is, the power consumption weight, and then converts the historical standby power consumption of the first sample electric motorcycle into daily standby power consumption, and calculates the standby power threshold that enables each electric motorcycle in the target area to maintain a standby state based on the power consumption weight and the daily standby power consumption, and then determines the battery replacement threshold for the target area based on the standby power threshold and the driving parameters of each second sample electric motorcycle in the target area, so that operation and maintenance personnel can replace the battery of the electric motorcycle whose power is below the battery replacement threshold. The embodiment of the present application calculates the battery replacement threshold for the target area based on the situation of each electric motorcycle in the target area, so that the calculated battery replacement threshold can reflect the situation of each electric motorcycle in the area and improve the accuracy of the battery replacement threshold.

In one embodiment, as shown in FIG. 2 , in step 104 , based on each historical order of the first sample motorcycle, determining the power consumption weight of the first sample motorcycle includes:

Step 202, based on the historical orders of the first sample motorcycle, determine the historical order volume of the first sample motorcycle.

Step 204: determine the order quantity interval to which the historical order quantity belongs.

Step 206, determining the power consumption weight of the first sample motorcycle according to the first preset power consumption weight corresponding to the order quantity interval, wherein the first preset power consumption weight is negatively correlated with the boundary size of the order quantity interval.

In the embodiment of the present application, considering that the electric motorcycle needs to upload the data of the order to the server and perform some background computing activities after completing the order, and because the electric motorcycle is in standby state at this time, this part of the power consumption will be calculated in the standby power consumption, resulting in the standby power consumption not being able to truly reflect the power consumption required for the actual standby of the electric motorcycle. Therefore, the power consumption weight of the first sample electric motorcycle can be set according to the historical order volume (the number of historical orders) to eliminate the influence of the order volume on the accuracy of the historical standby power consumption provided by the first sample electric motorcycle through the power consumption weight.

The order volume intervals may be pre-divided or divided according to the historical order volume of each first sample motorcycle. The length of each order volume interval should be at least 1. In the case of dividing the order volume intervals according to the historical order volume in real time, the more first sample motorcycles there are, the smaller the impact of the inaccurate historical standby power consumption caused by uploading data, so the length of the order volume interval can be inversely proportional to the number of first sample motorcycles.

Exemplarily, since the historical standby power consumption of the first sample motorcycle with a historical order volume of 0 is the most accurate, an order volume interval of [0,1) (the order volume is less than 1 and greater than or equal to 0) can be first divided, and the first preset power consumption weight of the order volume interval can be set to 1. In the case of pre-dividing the order volume interval, the first preset power consumption weight of each order volume interval can be set according to the boundary size of each order volume interval (which can be the left boundary or the right boundary), so that the first preset power consumption weight is negatively correlated with the boundary size. For example, if the pre-divided order volume intervals are [0,1), [1,2), [2,3), the first preset power consumption weight of [1,2) can be 0.98, and the first preset power consumption weight of [2,3) can be 0.96. In the case of dividing the order volume intervals according to the historical order volume in real time, each order volume interval can be sorted from small to large according to the boundary size, and then the first preset power consumption weight corresponding to each order volume interval can be determined according to the relationship between the preset first preset power consumption weight and the arrangement order: for example, the first preset power consumption weight corresponding to the order volume interval arranged in the first position of the queue can be preset to be 1, the second position corresponds to 0.98, the third position corresponds to 0.96... If the divided order volume intervals are sorted from small to large according to the boundary size, the result is [0,1), [1,4), [4,7), then the first preset power consumption weight of the order volume interval [0,1) can be 1, the first preset power consumption weight of the order volume interval [1,4) can be 0.98, and the first preset power consumption weight of the order volume interval [4,7) can be 0.96. The first preset power consumption weight can also be determined in other ways, and the embodiments of the present application do not specifically limit this.

After determining the order volume range, the number of historical orders of the first sample motorcycle can be counted to obtain the historical order volume, and then the first preset power consumption weight corresponding to the order volume range to which the historical order volume of the first sample motorcycle belongs can be used as the power consumption weight corresponding to the first sample motorcycle.

The method for determining the threshold value for battery replacement of electric motorcycles provided in the embodiment of the present application determines the power consumption weight corresponding to the first sample electric motorcycle according to the first preset power consumption weight of the order volume interval to which the historical order volume of the first sample electric motorcycle belongs, and the first preset power consumption weight is negatively correlated with the boundary size of the order volume interval. Since the more orders there are, the more power the electric motorcycle uses to upload data after the order is completed, and the less accurate the historical standby power consumption of the electric motorcycle is, so the first preset power consumption weight is negatively correlated with the order volume interval, which can make the proportion of electric motorcycles with larger order volumes smaller in the final calculation of the standby power consumption threshold, thereby improving the accuracy of the standby power consumption threshold and further improving the accuracy of the battery replacement threshold.

In one embodiment, as shown in FIG3 , in step 104 , based on each historical order of the first sample motorcycle, determining the power consumption weight of the first sample motorcycle includes:

Step 302, based on the historical orders of the first sample motorcycle, determine the standby intervals of the first sample motorcycle.

Step 304: for any standby interval, determine a second preset power consumption weight corresponding to the standby interval according to the length of the standby interval, and the second preset power consumption weight is positively correlated with the length of the standby interval.

Step 306, determining the power consumption weight corresponding to the first sample motorcycle according to the second preset power consumption weight corresponding to each standby interval.

In an embodiment of the present application, since the longer the standby time of the motorcycle, the smaller the impact of uploading data to the server on the accuracy of the standby power consumption, a power consumption weight can be calculated for each standby time of the first sample motorcycle, and then the power consumption weight for the first sample motorcycle can be obtained based on the power consumption weights of each standby time.

Exemplarily, the time during which the first sample motorcycle is not in an order-carrying operation state, i.e., the standby interval, can be calculated based on each historical order of the first sample motorcycle, and the length of each standby interval can be obtained. A relationship formula between the length of the standby interval and the second preset power consumption weight can be pre-set, and then the length of the standby interval can be substituted into the formula to calculate the second preset power consumption weight of the standby interval; or several length intervals can be pre-set, and a second preset power consumption weight can be set for each length interval, and then the second preset power consumption weight corresponding to the length interval to which the length of the standby interval belongs can be used as the second preset power consumption weight corresponding to the standby interval.

The power consumption weight corresponding to the first sample electric motorcycle can be obtained according to the second preset power consumption weight corresponding to each standby interval. For example, the average value of each second preset power consumption weight is used as the power consumption weight, and the median of each second preset power consumption weight is used as the power consumption weight. The embodiment of the present application does not make any specific limitation on this.

Taking a specific example, since the power consumption of sending data can be ignored when the length of the standby interval is 12 hours or more, the second preset power consumption weight corresponding to the standby interval with a length of 12 hours or more can be set to 1. The relationship formula between the length of other standby intervals and the second preset power consumption weight can be set as second preset power consumption weight = length of standby interval × (1/60) + 0.8, so that the length of the standby interval is proportional to the second preset power consumption weight.

Taking the historical time period of 2 days before today, the first sample motorcycle generated historical standby power consumption 1 from 23:00 on the first day to 5:00 on the second day, and generated historical standby power consumption 2 from 7:00 to 8:00 on the second day as an example for explanation, the length of standby interval 1 corresponding to historical standby power consumption 1 is 6 hours, and the length of standby interval 2 corresponding to historical standby power consumption 2 is 1 hour. According to the above formula, the second preset power consumption weight of standby interval 1 is 0.9, and the second preset power consumption weight of standby interval 2 is 0.82. The second preset power consumption weights of standby interval 1 and standby interval 2 can be averaged to obtain the power consumption weight of the first sample motorcycle of 0.86.

The method for determining the battery replacement threshold of an electric motorcycle provided in the embodiment of the present application determines the second preset power consumption weight of each standby interval according to the length of each standby interval of the first sample electric motorcycle, and determines the power consumption weight corresponding to the first sample electric motorcycle according to each second preset power consumption weight, and the second preset power consumption weight is positively correlated with the length of the standby interval. Since the longer the standby time, the smaller the impact of the power used by the electric motorcycle to upload data after the order is completed on the standby power consumption, and the more accurate the historical standby power consumption of the electric motorcycle, the second preset power consumption weight is positively correlated with the length of the standby interval, which can make the proportion of electric motorcycles with longer standby intervals larger in the final calculation of the standby power consumption threshold, thereby improving the accuracy of the standby power consumption threshold, and then improving the accuracy of the battery replacement threshold.

In one embodiment, as shown in FIG. 4 , in step 106 , determining the daily standby power consumption of each first sample electric motorcycle according to the historical standby power consumption of each first sample electric motorcycle includes:

Step 402, for any historical standby power consumption of any first sample electric motorcycle, determine the standby time corresponding to the historical standby power consumption.

Step 404, for any first sample electric motorcycle, determine the daily standby power consumption corresponding to the first sample electric motorcycle according to each historical standby power consumption of the first sample electric motorcycle and the standby time corresponding to each historical standby power consumption.

In the embodiment of the present application, the standby time corresponding to each historical standby power consumption of the first sample electric motorcycle can be obtained, and then the daily standby power consumption of the first sample electric motorcycle can be calculated based on this.

Exemplarily, for each first sample motorcycle, the actual standby power consumption of the first sample motorcycle per day can be calculated based on the standby time corresponding to each historical standby power consumption generated by the first sample motorcycle. For example, if the historical time period is 2 days before today, the first sample motorcycle generates a historical standby power consumption of 1 from 23:00 on the first day to 5:00 on the second day, and generates a historical standby power consumption of 2 from 7:00 to 8:00 on the second day, then the actual standby power consumption of the first sample motorcycle on the first day is 1/6×historical standby power consumption 1, and the actual standby power consumption on the second day is 5/6×historical standby power consumption 1+historical standby power consumption 2.

After obtaining the actual standby power consumption of the first sample motorcycle every day, the daily standby power consumption can be calculated according to the actual standby time of the first sample motorcycle every day. The ratio of the actual standby power consumption and the actual standby time can be used as the hourly standby power consumption of the first sample motorcycle, and then the hourly standby power consumption can be multiplied by the number of hours per day (24) to obtain the daily standby power consumption. Taking the above example, the daily standby power consumption of the first sample motorcycle on the first day is 24×(1/6×historical standby power consumption 1)/1, and the daily standby power consumption on the second day is 24×(5/6×historical standby power consumption 1+historical standby power consumption 2)/6.

The method for determining the threshold value of battery replacement for an electric motorcycle provided in the embodiment of the present application calculates the power consumption (daily standby power consumption) required for 24-hour standby of the first sample electric motorcycle according to the standby time corresponding to each historical standby power consumption of the first sample electric motorcycle, so that the standby power threshold can be calculated based on the daily standby power consumption. Since battery replacement is generally performed once a day, the standby power threshold is calculated based on the daily standby power consumption to ensure that before the power of the electric motorcycle drops to the minimum power required for daily standby, the server will notify the operation and maintenance personnel to replace the battery of the electric motorcycle, avoiding the situation where the electric motorcycle is exhausted and cannot be located, thereby improving the accuracy of the standby power threshold and the battery replacement threshold.

In one embodiment, as shown in FIG5 , in step 108 , according to the standby power threshold and the driving parameters of each second sample motorcycle in the target area, the battery replacement threshold for the target area is determined, including:

Step 502, determining the expected order volume for the target area based on the driving parameters of each second sample motorcycle in the target area.

Step 504, determine the battery replacement threshold for the target area based on the expected order volume and the standby power threshold, and the battery replacement threshold is positively correlated with the expected order volume.

In the embodiment of the present application, in order to ensure that the motorcycle can continue to operate when the power of the motorcycle drops below the battery replacement threshold and the operation and maintenance personnel set out to replace the battery of the motorcycle, the expected order volume of the target area can be predicted based on each second sample motorcycle, and the battery replacement threshold can be set according to the expected order volume. The expected order volume refers to the average number of orders that each motorcycle in the target area can receive per day.

For example, the daily vehicle efficiency of the target area can be calculated based on the number of trips in the driving parameters of each second sample motorcycle (that is, the ratio of the sum of the number of trips of each second sample motorcycle per day to the number of second sample motorcycles), and then the expected order volume of the day can be predicted based on the change trend of the daily vehicle efficiency (for example, using a trained neural network for prediction, or predicting based on the relationship between the derived vehicle efficiency and time change, etc.). Alternatively, the vehicle efficiency of the target area within a period of time can be averaged to obtain the expected order volume of the day, which is not specifically limited in the embodiments of the present application.

A coefficient can be set for each expected order volume, and then the coefficient is multiplied by the standby power threshold to obtain the battery replacement threshold of the target area. Alternatively, the battery replacement threshold of the target area can be determined by other methods, which is not specifically limited in the embodiments of the present application.

It should be noted that, since the user's willingness to ride an electric motorcycle is usually related to the remaining power of the electric motorcycle, the determined battery replacement threshold can also be partially adjusted based on the driving parameters of each second sample electric motorcycle. For example, the power of each second sample electric motorcycle at the beginning of each trip can be obtained, and then the total number of times the power is near the battery replacement threshold at the beginning of the trip is counted, and the ratio of the total number of times the trip is near the battery replacement threshold to the sum of all trips. If the ratio is too small (for example, less than a preset threshold, such as 0.2), it means that the battery replacement threshold is too low, and setting the battery replacement threshold at this value will reduce the utilization rate of the motorcycle. Therefore, the battery replacement threshold can be appropriately adjusted and the above ratio can be recalculated until the above ratio meets the requirements.

The method for determining the battery replacement threshold of an electric motorcycle provided in the embodiment of the present application determines the expected order volume based on driving parameters, and then sets the battery replacement threshold based on the expected order volume and the standby power threshold, so that the electric motorcycle can continue to operate when the power level drops below the battery replacement threshold but is still above the standby power threshold, thereby improving the utilization rate of the electric motorcycle.

In one embodiment, as shown in FIG6 , in step 504, determining a battery replacement threshold for a target area according to the expected order volume and the standby power threshold includes:

Step 602, determining the power consumption of orders for the target area according to the driving parameters of each second sample motorcycle in the target area.

Step 604, determine the battery replacement threshold for the target area based on the order power consumption, expected order volume and standby power threshold.

In an embodiment of the present application, the order power consumption required for each electric motorcycle in the target area to complete an order can be calculated, and then the battery replacement threshold can be determined based on the order power consumption, the expected order volume and the standby power threshold.

For example, the driving power consumption in the driving parameters can be obtained, and the average value of the driving power consumption can be taken as the order power consumption. Alternatively, considering that it should be ensured that users can smoothly carry out medium and long-distance orders, the power should not drop below the standby power threshold when using the motorcycle, and the mileage corresponding to each driving power consumption can also be obtained, and the average value of the driving power consumption with a mileage greater than the mileage threshold can be taken as the order power consumption. This embodiment of the application does not specifically limit this.

Based on the expected order volume, the order volume when the battery power of the motorcycle drops below the battery replacement threshold (for example, 1/2 or 1/3 of the expected order volume) can be estimated, and the order volume and the order power consumption can be multiplied, and the multiplication result and the standby power threshold can be summed to obtain the battery replacement threshold. Alternatively, the method in the aforementioned embodiment can be referred to, and the total number of driving times when the battery power of the motorcycle drops to near the battery replacement threshold can be determined according to the driving parameters of each second sample motorcycle, and the ratio of the total number of driving times to the sum of all driving times can be determined, and the order volume when the battery power of the motorcycle drops below the battery replacement threshold can be obtained according to the product of the ratio and the expected order volume, and the order volume and the order power consumption can be multiplied, and the multiplication result and the standby power threshold can be summed to obtain the battery replacement threshold. The battery replacement threshold can also be calculated by other methods, and the embodiments of the present application do not specifically limit this.

Refer to Figure 7, which is a rendering of an embodiment of the present application. The horizontal axis in Figure 7 refers to the remaining power of the motorcycle, and the vertical axis refers to the ratio of the number of motorcycles with this remaining power to the total number of motorcycles. In the prior art, the battery replacement threshold is generally set at 44%, that is, the motorcycles covered by the horizontal frame ① in the figure, resulting in a large waste. However, through the solution provided in the embodiment of the present application, different battery replacement thresholds can be calculated for different cities (as can be seen from the figure, 21% for City A and 22% for City B), and the motorcycles that need to be replaced are compressed to the range covered by the vertical frame ②, greatly improving the utilization rate of the motorcycles.

The method for determining the battery replacement threshold of an electric motorcycle provided in the embodiment of the present application determines the order power consumption based on the driving parameters, and then sets the battery replacement threshold based on the expected order volume, order power consumption and the standby power threshold, so that the electric motorcycle can continue to operate when the power level drops below the battery replacement threshold but is still above the standby power threshold, thereby improving the utilization rate of the electric motorcycle.

In one embodiment, the method further includes:

For any target motorcycle in the target area, when the target motorcycle is in driving state and the current power of the target motorcycle is greater than the standby power threshold and less than the battery replacement threshold, the first warning information is displayed, and the first warning information is used to indicate that the target motorcycle needs to replace the battery. Or,

When the target motorcycle is in a driving state and the current power of the target motorcycle is less than or equal to the standby power threshold, a second warning message is displayed, and the second warning message is used to indicate that the target motorcycle cannot continue to drive.

In an embodiment of the present application, after determining the battery replacement threshold and the standby power threshold, when the user uses any target electric motorcycle in the target area, the server can monitor the target electric motorcycle according to the real-time power (current power) uploaded by the target electric motorcycle. When the current power of the target electric motorcycle is less than the battery replacement threshold but greater than the standby power threshold, it indicates that the power of the target electric motorcycle is already low, but the order can continue to be completed. At this time, the server can generate a first alarm message and send the first alarm message to the target electric motorcycle for playback (through the screen or speaker of the target electric motorcycle) to remind the user that the target electric motorcycle may need to replace the battery, but the target electric motorcycle can still continue to drive.

When the current power of the target motorcycle is less than or equal to the standby power threshold, it indicates that the target motorcycle must be replaced, otherwise it may run out of power and cannot be located. The server can generate a second alarm message and send the second alarm message to the target motorcycle for playback to remind the user that the target motorcycle cannot continue to drive and the user needs to replace the motorcycle. The server can also instruct the target motorcycle to actively lock and enter standby mode when the user stops driving for the first time after receiving the alarm message to avoid further consumption of power.

The method for determining the battery replacement threshold of an electric motorcycle provided in the embodiment of the present application displays a first alarm message when the battery level of any electric motorcycle is lower than the battery replacement threshold but higher than the standby power threshold to indicate that the target electric motorcycle needs to have its battery replaced, and displays a second alarm message when the battery level of the electric motorcycle is lower than the standby power threshold to indicate that the target electric motorcycle cannot continue to travel, thereby reminding the user of the current battery status of the motorcycle.

In one embodiment, as shown in FIG8 , the method further includes:

Step 802, for any target electric motorcycle in the target area, obtain the battery parameters of the target electric motorcycle.

Step 804, determine the power display information for the target electric motorcycle based on the battery parameters of the target electric motorcycle, the battery power of the target electric motorcycle and the standby power threshold, and display the power display information.

In the embodiment of the present application, for any motorcycle in the target area (target motorcycle), the power display information to be displayed to the user can be determined based on the current battery power of the target motorcycle, the determined standby power threshold, and the battery parameters of the target motorcycle itself. The battery parameters may include battery health status, battery discharge efficiency, etc., and the power display information may include the battery power of the target motorcycle, the standby power threshold, the power difference between the battery power and the standby power threshold, and the power difference representing the mileage that the motorcycle can continue to travel.

Exemplarily, the difference between the battery power of the target electric motorcycle and the standby power threshold can be used as the power difference, and then the mileage corresponding to the power difference of the target electric motorcycle is calculated based on the battery parameters of the target electric motorcycle, and then the mileage is displayed to the user as the power display information of the target electric motorcycle.

In addition, the number of orders corresponding to the large power difference can be calculated based on the power consumption and power difference of the orders in the aforementioned embodiments, and the number of orders can be displayed to the user as power display information, so that the user can understand how much mileage the motorcycle can travel and how many orders can be executed before it can no longer be ridden, which is convenient for the user to choose a suitable motorcycle to ride.

The method for determining the battery replacement threshold of an electric motorcycle provided in the embodiment of the present application generates power display information according to the standby power threshold, battery parameters and battery power, and displays the power display information, so that users can know the current power-related information of the electric motorcycle, which is convenient for users to choose a suitable electric motorcycle for riding.

It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

Based on the same inventive concept, the embodiment of the present application also provides a device for determining the battery replacement threshold of an electric motorcycle for implementing the above-mentioned method for determining the battery replacement threshold of an electric motorcycle. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiments of one or more devices for determining the battery replacement threshold of an electric motorcycle provided below can refer to the limitations of the method for determining the battery replacement threshold of an electric motorcycle above, and will not be repeated here.

In one embodiment, as shown in FIG9 , a device 900 for determining a battery replacement threshold of an electric motorcycle is provided, comprising: a first acquisition module 902 , a first determination module 904 , a second determination module 906 , a third determination module 908 , and a fourth determination module 910 . Among them:

The first acquisition module 902 is used to acquire each historical order of each first sample motorcycle located in the target area within a historical time period;

A first determination module 904 is configured to determine, for any of the first sample motorcycles, a power consumption weight of the first sample motorcycle based on each of the historical orders of the first sample motorcycle;

A second determination module 906 is used to determine the daily standby power consumption of each of the first sample electric motorcycles according to the historical standby power consumption of each of the first sample electric motorcycles;

A third determination module 908 is used to determine a standby power threshold according to the power consumption weight of each of the first sample motorcycles and the daily standby power consumption of each of the first sample motorcycles;

The fourth determination module 910 is used to determine the battery replacement threshold for the target area based on the standby power threshold and the driving parameters of each second sample electric motorcycle in the target area.

In one embodiment, the first determining module 904 is further configured to:

Determine the historical order volume of the first sample motorcycle based on each of the historical orders of the first sample motorcycle;

Determining the order volume interval to which the historical order volume belongs;

The power consumption weight of the first sample electric motorcycle is determined according to the first preset power consumption weight corresponding to the order quantity interval, and the first preset power consumption weight is negatively correlated with the boundary size of the order quantity interval.

In one embodiment, the first determining module 904 is further configured to:

Determining each standby interval of the first sample motorcycle based on each of the historical orders of the first sample motorcycle;

For any of the standby intervals, determining a second preset power consumption weight corresponding to the standby interval according to the length of the standby interval, wherein the second preset power consumption weight is positively correlated with the length of the standby interval;

The power consumption weight corresponding to the first sample electric motorcycle is determined according to the second preset power consumption weight corresponding to each of the standby intervals.

In one embodiment, the second determining module 906 is further configured to:

For any of the historical standby power consumptions of any of the first sample electric motorcycles, determining a standby time corresponding to the historical standby power consumption;

For any of the first sample electric motorcycles, the daily standby power consumption corresponding to the first sample electric motorcycle is determined according to each of the historical standby power consumptions of the first sample electric motorcycle and the standby time corresponding to each of the historical standby power consumptions.

In one embodiment, the third determination module 908 is further configured to:

Determining an expected order volume for the target area according to the driving parameters of each second sample motorcycle in the target area;

According to the expected order volume and the standby power threshold, a battery replacement threshold for the target area is determined, and the battery replacement threshold is positively correlated with the expected order volume.

In one embodiment, the third determination module 908 is further configured to:

Determining the power consumption of orders for the target area according to the driving parameters of each second sample motorcycle in the target area;

The battery replacement threshold for the target area is determined based on the order power consumption, the expected order volume and the standby power threshold.

In one embodiment, the device further comprises:

A first display module is used to display a first warning message for any target motorcycle in the target area when the target motorcycle is in a driving state and the current power of the target motorcycle is greater than the standby power threshold and less than the battery replacement threshold, wherein the first warning message is used to indicate that the target motorcycle needs to be replaced; or

When the target motorcycle is in a driving state and the current power level of the target motorcycle is less than or equal to the standby power threshold, a second warning message is displayed, and the second warning message is used to indicate that the target motorcycle cannot continue to drive.

In one embodiment, the device further comprises:

A second acquisition module is used to acquire the battery parameters of any target electric motorcycle in the target area;

The second display module is used to determine the power display information for the target electric motorcycle according to the battery parameters of the target electric motorcycle, the battery power of the target electric motorcycle and the standby power threshold, and display the power display information.

Each module in the above-mentioned device for determining the battery replacement threshold of an electric motorcycle can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in FIG10. The computer device includes a processor, a memory, and a network interface connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for determining a battery replacement threshold of an electric motorcycle is implemented.

Those skilled in the art will understand that the structure shown in FIG. 10 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims (11)

1. A method for determining a battery change threshold of an electric bicycle, the method comprising:

acquiring each historical order of each first sample electric bicycle located in a target area in a historical time period;

Determining a power consumption weight of any first sample electric bicycle based on each historical order of the first sample electric bicycle;

Determining the daily standby power consumption of each first sample electric bicycle according to the historical standby power consumption of each first sample electric bicycle;

determining a standby electric quantity threshold according to the power consumption weight of each first sample electric bicycle and the daily standby power consumption of each first sample electric bicycle;

And determining a power conversion threshold for the target area according to the standby power threshold and the running parameters of each second sample electric bicycle in the target area.

2. The method of claim 1, wherein the determining the power consumption weight of the first sample electric bicycle based on each of the historical orders of the first sample electric bicycle comprises:

determining a historical order quantity of the first sample electric bicycle based on each of the historical orders of the first sample electric bicycle;

Determining an order quantity interval to which the historical order quantity belongs;

And determining the power consumption weight of the first sample electric bicycle according to a first preset power consumption weight corresponding to the order quantity interval, wherein the first preset power consumption weight is inversely related to the boundary size of the order quantity interval.

3. The method of claim 1, wherein the determining the power consumption weight of the first sample electric bicycle based on each of the historical orders of the first sample electric bicycle comprises:

Determining each standby interval of the first sample electric bicycle based on each historical order of the first sample electric bicycle;

For any standby interval, determining a second preset power consumption weight corresponding to the standby interval according to the length of the standby interval, wherein the second preset power consumption weight is positively correlated with the length of the standby interval corresponding to the standby time period group;

And determining the power consumption weight corresponding to the first sample electric bicycle according to the second preset power consumption weight corresponding to each standby interval.

4. A method according to any one of claims 1 to 3, wherein said determining the daily standby power consumption of each of the first sample electric bicycles based on the historical standby power consumption of each of the first sample electric bicycles, respectively, comprises:

Determining a standby time length corresponding to the historical standby power consumption aiming at any historical standby power consumption of any first sample electric bicycle;

and determining the daily standby power consumption corresponding to the first sample electric bicycle according to the historical standby power consumption of the first sample electric bicycle and the standby time length corresponding to the historical standby power consumption of the first sample electric bicycle.

5. The method of claim 1, wherein determining the power change threshold for the target area based on the standby power threshold and the driving parameters of each second sample electric bicycle in the target area comprises:

Determining an expected order quantity aiming at the target area according to the running parameters of each second sample electric bicycle in the target area;

And determining a power change threshold for the target area according to the expected order quantity and the standby electric quantity threshold, wherein the power change threshold is positively related to the expected order quantity.

6. The method of claim 5, wherein determining a power-change threshold for the target area based on the expected order quantity and the standby power threshold comprises:

determining order power consumption aiming at the target area according to the running parameters of each second sample electric bicycle in the target area;

and determining a power change threshold for the target area according to the order power consumption, the expected order quantity and the standby power threshold.

7. The method according to claim 5 or 6, characterized in that the method further comprises:

aiming at any target electric bicycle in the target area, when the target electric bicycle is in a running state, and the current electric quantity of the target electric bicycle is larger than the standby electric quantity threshold and smaller than the power change threshold, displaying first alarm information, wherein the first alarm information is used for indicating that the target electric bicycle needs to be changed; or alternatively

And displaying second warning information when the target electric bicycle is in a driving state and the current electric quantity of the target electric bicycle is smaller than or equal to the standby electric quantity threshold value, wherein the second warning information is used for indicating that the target electric bicycle cannot continue to drive.

8. The method according to claim 1, wherein the method further comprises:

aiming at any target electric bicycle in the target area, acquiring battery parameters of the target electric bicycle;

And determining electric quantity display information aiming at the target electric bicycle according to the battery parameter of the target electric bicycle, the battery electric quantity of the target electric bicycle and the standby electric quantity threshold value, and displaying the electric quantity display information.

9. A device for determining a battery change threshold of an electric bicycle, the device comprising:

The first acquisition module is used for acquiring each historical order of each first sample electric bicycle located in the target area in the historical time period;

a first determining module, configured to determine, for any one of the first sample electric bicycles, a power consumption weight of the first sample electric bicycle based on each of the historical orders of the first sample electric bicycle;

the second determining module is used for determining the daily standby power consumption of each first sample electric bicycle according to the historical standby power consumption of each first sample electric bicycle;

The third determining module is used for determining a standby electric quantity threshold according to the power consumption weight of each first sample electric bicycle and the daily standby power consumption of each first sample electric bicycle;

And the fourth determining module is used for determining a power conversion threshold value aiming at the target area according to the standby power threshold value and the running parameters of each second sample electric bicycle in the target area.

10. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 8 when the computer program is executed.

11. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 8.