WO2023245456A1

WO2023245456A1 - Data processing method and apparatus, electronic device, and storage medium

Info

Publication number: WO2023245456A1
Application number: PCT/CN2022/100252
Authority: WO
Inventors: 贾浩远; 刘飞飞
Original assignee: 北京小米移动软件有限公司
Priority date: 2022-06-21
Filing date: 2022-06-21
Publication date: 2023-12-28
Also published as: CN117615950A

Abstract

The present disclosure relates to the field of vehicle energy consumption management, and relates to a data processing method and apparatus, an electronic device, and a storage medium. The method comprises: upon determining that a terminal where a client is located has established communication connection with an electric scooter, if a first indication for indicating that the electric scooter has entered a commute mode is received, acquiring current vehicle body state information of the electric scooter, a target commute route, and target travel speed information; and according to the vehicle body state information, the target commute route and the target travel speed information, determining and displaying commuting energy consumption information to be generated by the electric scooter. When it is determined that the electric scooter has entered a commute mode, the commuting energy consumption information to be generated by the electric scooter is determined and displayed according to the vehicle body state information, the target commute route and the target travel speed information, so that the commuting energy consumption state of the electric scooter can be displayed to the user, thereby effectively alleviating energy consumption anxiety of the user, and improving user experience.

Description

Data processing methods, devices, electronic equipment and storage media

Technical field

The present disclosure relates to the field of vehicle energy consumption management, and in particular, to a data processing method, device, electronic device and storage medium.

Background technique

Electric scooters have become a new type of commuting means due to their lightweight and easy storage. Current electric scooters widely use ternary lithium batteries to provide power. The ternary lithium batteries are affected by factors such as weight, tire pressure, road conditions, etc. will have a greater impact on actual energy consumption, cause users anxiety about energy consumption during use, and affect user experience.

Contents of the invention

In order to overcome the problems existing in related technologies, the present disclosure provides a data processing method, device, electronic equipment and storage medium.

According to a first aspect of an embodiment of the present disclosure, a data processing method is provided, applied to a client, and the method includes:

When it is determined that the terminal where the client is located has established a communication connection with the electric scooter, if the first instruction for the electric scooter to enter the commuting mode is received, the current body status information of the electric scooter, the target commuting section and the target Driving speed information;

According to the vehicle body status information, the target commuting road section and the target driving speed information, the commuting energy consumption information that the electric scooter will generate is determined and displayed.

Optionally, the vehicle body status information includes the current tire pressure information, battery status information and load information of the electric scooter, and the commuting energy consumption information includes tire pressure energy consumption information, battery energy consumption information, and load energy consumption information. , speed energy consumption information and target remaining energy consumption information;

Determining and displaying the commuting energy consumption information that the electric scooter will generate based on the vehicle body status information, the target commuting road section and the target driving speed information includes:

According to the tire pressure information, the battery status information, the load information, the target commuting section and the target driving speed information, the tire pressure energy consumption information, the battery energy consumption information, the load consumption information are determined. energy information, the speed energy consumption information and the remaining energy consumption information of the target;

Display the tire pressure energy consumption information, the battery energy consumption information, the load energy consumption information, the speed energy consumption information and the target remaining energy consumption information.

Optionally, the tire pressure energy consumption information, the battery energy consumption information are determined based on the tire pressure information, the battery status information, the load information, the target commuting section and the target driving speed information. Information, the load energy consumption information, the speed energy consumption information and the target remaining energy consumption information include:

Query the tire pressure energy consumption information corresponding to the tire pressure information, the battery energy consumption information corresponding to the battery status information, the load energy consumption information corresponding to the load information, and the Speed energy consumption information corresponding to the target driving speed information, wherein the energy consumption impact coefficient list includes tire pressure energy consumption coefficients corresponding to different tire pressures, battery energy consumption coefficients corresponding to different battery status information, and load consumption corresponding to different loads. Energy coefficient, the speed energy consumption coefficient corresponding to different driving speeds;

Obtain the remaining energy consumption except battery energy consumption information, tire pressure energy consumption information, load energy consumption information and speed energy consumption information during each commuting process corresponding to the target commuting section in the historical time period;

The target remaining energy consumption information is determined based on the remaining energy consumption during each of the plurality of commuting.

Optionally, query the tire pressure energy consumption information corresponding to the tire pressure information, the battery energy consumption information corresponding to the battery status information, and the load consumption information corresponding to the load information from a preset energy consumption impact coefficient list. energy information, as well as the speed energy consumption information corresponding to the target driving speed information, including:

Query the target tire pressure energy consumption coefficient corresponding to the tire pressure information, the target battery energy consumption coefficient corresponding to the battery status information, and the target load energy consumption coefficient corresponding to the load information from the preset energy consumption impact coefficient list, and the target speed energy consumption coefficient corresponding to the target driving speed information;

The commuting energy consumption information is determined according to the target tire pressure energy consumption coefficient, the target battery energy consumption coefficient, the target load energy consumption coefficient and the target speed energy consumption coefficient.

Optionally, the tire pressure energy consumption information includes target tire pressure energy consumption coefficient and/or target tire pressure energy consumption;

The battery energy consumption information includes target battery energy consumption coefficient and/or target battery energy consumption;

The load energy consumption information includes target load energy consumption coefficient and/or target load energy consumption;

The speed energy consumption information includes target speed energy consumption coefficient and/or target speed energy consumption;

The target remaining energy consumption information includes the target remaining energy consumption coefficient and/or the target remaining energy consumption.

Optionally, determining the commuting energy consumption information based on the target tire pressure energy consumption coefficient, the target battery energy consumption coefficient, the target load energy consumption coefficient and the target speed energy consumption coefficient includes:

The tire pressure energy consumption information includes target tire pressure energy consumption, the battery energy consumption information includes target battery energy consumption, the load energy consumption information includes target load energy consumption, and the speed energy consumption information includes target speed consumption. In the case of energy, obtain the current user's historical commuting time on the target commuting section;

Obtain the product of the historical commuting time and the preset output power to obtain the baseline energy consumption;

According to the target tire pressure energy consumption coefficient, the target battery energy consumption coefficient, the target load energy consumption coefficient, the target speed energy consumption coefficient and the baseline energy consumption, the target tire pressure energy consumption, the The target battery energy consumption, the target load energy consumption and the target speed energy consumption.

When the target remaining energy consumption information includes a target remaining energy consumption coefficient, obtain the ratio of the remaining energy consumption to the total energy consumption during each commuting process in the multiple commuting;

The target remaining energy consumption coefficient is determined based on a plurality of the ratios corresponding to the multiple commutes.

Optionally, the method also includes:

Determine parameters to be optimized based on the tire pressure energy consumption information, the battery energy consumption information, the load energy consumption information, the speed energy consumption information and the remaining energy consumption information;

Target energy saving suggestions are output based on the parameters to be optimized.

Optionally, determining the parameters to be optimized based on the tire pressure energy consumption information, the battery energy consumption information, the load energy consumption information, the speed energy consumption information and the remaining energy consumption information includes:

Obtain the preset tire pressure energy consumption threshold, battery energy consumption threshold, load energy consumption threshold, speed energy consumption threshold and other energy consumption thresholds;

According to the tire pressure energy consumption information, the battery energy consumption information, the load energy consumption information, the speed energy consumption information, the remaining energy consumption information and the tire pressure energy consumption threshold, the battery energy consumption The threshold, the load energy consumption threshold, the speed energy consumption threshold and the remaining energy consumption thresholds determine the parameters to be optimized.

Optionally, the method also includes:

When it is determined that the second instruction for the electric scooter to end the commuting mode is received, obtain the actual energy consumption information corresponding to the target commuting section during this commuting process;

Determine and display the target difference between the commuting energy consumption information and the actual energy consumption information.

According to a second aspect of the embodiment of the present disclosure, a data processing method is provided, applied to electric scooters, and the method includes:

When it is determined that the terminal where the client is located establishes a communication connection with the electric scooter, if it is determined that the electric scooter enters the commuting mode, the commuting energy consumption information sent by the client is received and displayed on the electric scooter. The commuting energy consumption information is displayed on the screen;

Wherein, the commuting energy consumption information is obtained by the client by obtaining the current body status information, target commuting section and target driving speed information of the electric scooter. According to the body status information, the target commuting section and the The target driving speed information determines the commuting energy consumption information that the electric scooter will generate.

Optionally, when it is determined that the electric scooter has ended the commuting mode, receive and display the actual energy consumption information corresponding to the target commuting section during this commuting process and the commuting energy consumption information and all the commuting energy consumption information sent by the client. Describe the target difference of actual energy consumption information.

According to a third aspect of the embodiment of the present disclosure, a data processing device is provided, applied to a client, and the device includes:

The acquisition module is configured to acquire the current body status information of the electric scooter if it receives the first instruction for the electric scooter to enter the commuting mode when it is determined that the terminal where the client is located has established a communication connection with the electric scooter. , target commuting section and target driving speed information;

A display module configured to determine and display the commuting energy consumption information that the electric scooter will generate based on the vehicle body status information, the target commuting road section and the target driving speed information.

According to a fourth aspect of the embodiment of the present disclosure, a data processing device is provided, which is applied to an electric scooter, and the device includes:

The first determination module is configured to receive the commuting energy consumption information sent by the client if it is determined that the electric scooter has entered the commuting mode, and Display the commuting energy consumption information on the display screen of the electric scooter;

Optionally, the device may also include:

The second determination module is configured to receive and display the actual energy consumption information corresponding to the target commuting section during the current commuting and the commuting consumption sent by the client when it is determined that the electric scooter has ended the commuting mode. The target difference between energy information and the actual energy consumption information.

According to a fifth aspect of the embodiment of the present disclosure, a data processing apparatus is provided, applied to electronic equipment, including: a processor; a memory for storing instructions executable by the processor;

Wherein, the processor is configured to execute the executable instructions to implement the steps of the method described in any one of the above-mentioned first or second aspects.

According to a sixth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, on which computer program instructions are stored. When the program instructions are executed by a processor, the steps of the data processing method described in the present disclosure are implemented.

The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

In the above technical solution, when it is determined that the client terminal has established a communication connection with the electric scooter, if the first instruction for the electric scooter to enter the commuting mode is received, the current body status information of the electric scooter and the target commuting section are obtained. As well as target driving speed information, the commuting energy consumption information that the electric scooter will generate is determined and displayed based on the vehicle body status information, target commuting road section and target driving speed information. In this way, by determining and displaying the commuting energy consumption information that the electric scooter will generate based on the body status information, the target commuting section and the target driving speed information when it is determined that the electric scooter enters the commuting mode, the commuting of the electric scooter can be displayed to the user. Energy consumption status, which can effectively alleviate users' energy consumption anxiety and help improve user experience.

It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and do not limit the present disclosure.

Description of the drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.

Figure 1 is a flow chart of a data processing method according to an exemplary embodiment.

FIG. 2 is a flow chart of another data processing method according to the embodiment shown in FIG. 1 of the present disclosure.

Figure 3 is a flowchart of another data processing method according to an exemplary embodiment.

Figure 4 is a flowchart of another data processing method according to an exemplary embodiment.

Figure 5 is a flow chart of yet another data processing method according to an exemplary embodiment.

FIG. 6 is a block diagram of a data processing device according to an exemplary embodiment.

FIG. 7 is a block diagram of a data processing device according to the embodiment shown in FIG. 6 .

FIG. 8 is a block diagram of another data processing device according to the embodiment shown in FIG. 6 .

FIG. 9 is a block diagram of another data processing device according to an exemplary embodiment.

FIG. 10 is a block diagram of yet another data processing device according to an exemplary embodiment.

Detailed ways

Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with aspects of the disclosure as detailed in the appended claims.

It should be noted that all actions to obtain signals, information or data in this application are performed under the premise of complying with the corresponding data protection regulations and policies of the country where the location is located, and with authorization from the owner of the corresponding device.

Figure 1 is a flow chart of a data processing method according to an exemplary embodiment. As shown in Figure 1, the data processing method is used in a client. The method includes the following steps.

In step 101, when it is determined that the client terminal has established a communication connection with the electric scooter, if the first instruction for the electric scooter to enter the commuting mode is received, the current body status information of the electric scooter is obtained, and the target commuting Road segment and target driving speed information.

Among them, the terminal where the client is located and the electric scooter can be connected through Bluetooth, Wifi, 2.4G, etc. After the terminal is connected to the electric scooter, the user can initiate the first command on the client to let the electric scooter enter the commute. mode, you can also click the preset button on the electric scooter to trigger the first command to make the electric scooter enter the commuting mode. The body status information may include the current tire pressure information, battery status information and load information of the electric scooter.

In this step, the user can input the current load information (for example, the user's weight) and the target commuting section through the preset interface in the client. In response to receiving the first instruction for the electric scooter to enter commuting mode, read The user pre-inputs the user's weight and target commuting section, and at the same time, in response to receiving the first instruction for the electric scooter to enter commuting mode, the current tire pressure information is collected through the tire pressure sensor on the electric scooter, and the battery in the BMS system is obtained. Status information. The battery status information may include battery temperature, battery internal resistance, battery charge and discharge times, etc. The historical commuting speed in the target commuting section is obtained to obtain the target driving speed information.

In step 102, the commuting energy consumption information that the electric scooter will generate is determined and displayed based on the vehicle body status information, the target commuting road section and the target driving speed information.

Among them, the commuting energy consumption information may include tire pressure energy consumption information, battery energy consumption information, load energy consumption information, speed energy consumption information and target remaining energy consumption information. The target remaining energy consumption information includes the information generated on the target communication road section. Except for battery energy consumption, tire pressure energy consumption, load energy consumption and speed energy consumption, the rest of the energy consumption.

In this step, the tire pressure energy consumption information and the battery energy consumption information may be determined based on the tire pressure information, the battery status information, the load information, the target commuting section and the target driving speed information. , the load energy consumption information, the speed energy consumption information and the target remaining energy consumption information; display the tire pressure energy consumption information, the battery energy consumption information, the load energy consumption information, the speed consumption information energy information and the remaining energy consumption information of the target.

As described above, the tire pressure energy consumption information, the battery energy consumption information are determined based on the tire pressure information, the battery status information, the load information, the target commuting section and the target driving speed information. Information, the load energy consumption information, the speed energy consumption information and the target remaining energy consumption information may include: querying the tire pressure energy consumption information corresponding to the tire pressure information from a preset energy consumption impact coefficient list , the battery energy consumption information corresponding to the battery status information, the load energy consumption information corresponding to the load information, and the speed energy consumption information corresponding to the target driving speed information, wherein the energy consumption impact coefficient list includes different tires The tire pressure energy consumption coefficient corresponding to the pressure, the battery energy consumption coefficient corresponding to different battery status information, the load energy consumption coefficient corresponding to different loads, the speed energy consumption coefficient corresponding to different driving speeds; obtain the target commuting section in the historical time period During each commuting process in the corresponding multiple commuting, the remaining energy consumption except battery energy consumption information, tire pressure energy consumption information, load energy consumption information and speed energy consumption information; according to the process of each commuting in the multiple commuting The remaining energy consumption in determines the target remaining energy consumption information.

The above technical solution can display the electric scooter to users by determining and displaying the commuting energy consumption information that the electric scooter will generate based on the body status information, the target commuting section and the target driving speed information when it is determined that the electric scooter enters commuting mode. commuting energy consumption, which can effectively alleviate users’ energy consumption anxiety and help improve user experience.

Figure 2 is a flow chart of another data processing method according to the embodiment shown in Figure 1 of the present disclosure. Step 102 in Figure 1 determines and displays the electric vehicle according to the vehicle body status information, the target commuting section and the target driving speed information. The commuting energy consumption information generated by the scooter can be achieved through the following steps, as shown in Figure 2.

In step 1021, query the tire pressure energy consumption information corresponding to the tire pressure information, the battery energy consumption information corresponding to the battery status information, the load energy consumption information corresponding to the load information, and the target driving speed from the preset energy consumption impact coefficient list The speed and energy consumption information corresponding to the information.

Among them, the list of energy consumption impact coefficients includes tire pressure energy consumption coefficients corresponding to different tire pressures, battery energy consumption coefficients corresponding to different battery status information, load energy consumption coefficients corresponding to different loads, and speed energy consumption coefficients corresponding to different driving speeds. It should be noted that the list of energy consumption impact coefficients can be calculated in stages using the control variable method in the laboratory.

This step can be achieved through the following S1 to S2:

S1, query the target tire pressure energy consumption coefficient corresponding to the tire pressure information, the target battery energy consumption coefficient corresponding to the battery status information, the target load energy consumption coefficient corresponding to the load information, and the target driving speed from the preset energy consumption impact coefficient list The target speed energy consumption coefficient corresponding to the information.

For example, the energy consumption impact coefficient list may include: when the tire pressure is 20 psi to 60 psi, the tire pressure energy consumption coefficient corresponding to different tire pressures. For example, when the tire pressure is 20 psi, the corresponding energy consumption impact coefficient may be 0.2. When the tire pressure is 30 psi, the corresponding energy consumption coefficient can be 0.25, etc.; load energy consumption information, when the load is 60kg, the corresponding load energy consumption coefficient can be 0.1, when the load is 70kg, the corresponding load energy consumption coefficient can be 0.2, etc. . It is worth mentioning that the target speed energy consumption information can include the energy consumption of a complete acceleration and the energy consumption of a complete deceleration. For example, the energy consumption coefficient for the speed from 0m/s to 5m/s is 0.1, and the energy consumption coefficient for the speed from 25m/s to 25m/s. The energy consumption coefficient of 20m/s is 0.15; the target battery energy consumption information can include battery temperature, internal resistance, number of charges, discharge times, etc. For example, the battery temperature is 50 degrees, the energy consumption coefficient is 0.08, and the battery internal resistance is 12 When milliohms are used, the energy consumption coefficient is 0.05, when the battery is charged 100 times, the energy consumption coefficient is 0.03, when the battery is discharged 100 times, the energy consumption coefficient is 0.02, etc. Each of the above battery energy consumption information can have a corresponding As for the energy consumption coefficient, each of the above battery energy consumption information can also be integrated as the overall target battery energy consumption information, and there is an overall target battery energy consumption coefficient.

S2, determine the commuting energy consumption information based on the target tire pressure energy consumption coefficient, target battery energy consumption coefficient, target load energy consumption coefficient and target speed energy consumption coefficient.

Among them, the tire pressure energy consumption information includes the target tire pressure energy consumption coefficient and/or the target tire pressure energy consumption; the battery energy consumption information includes the target battery energy consumption coefficient and/or the target battery energy consumption; the load energy consumption information includes the target load energy consumption. coefficient and/or target load energy consumption; speed energy consumption information includes target speed energy consumption coefficient and/or target speed energy consumption; target remaining energy consumption information includes target remaining energy consumption coefficient and/or target remaining energy consumption.

In this step, a possible implementation method is:

The commuting energy consumption information includes target tire pressure energy consumption coefficient, target battery energy consumption coefficient, target battery energy consumption coefficient, target load energy consumption coefficient, target speed energy consumption coefficient, and target other energy consumption coefficients, such as target tire pressure energy consumption coefficient. The coefficient is A1, the target battery energy consumption coefficient is A2, the target load energy consumption coefficient is A3, the target speed energy consumption coefficient is A4, and the target remaining energy consumption coefficient is A5, that is, the commuting energy consumption information can include: A1, A2, A3, A4 and A5 can also include A1+A2+A3+A4+A5.

Another possible implementation may include the following content shown in S21 to S23:

S21, when the tire pressure energy consumption information includes the target tire pressure energy consumption, the battery energy consumption information includes the target battery energy consumption, the load energy consumption information includes the target load energy consumption, and the speed energy consumption information includes the target speed energy consumption, obtain The current user's historical commuting time on the target commuting segment.

Among them, to obtain the historical commuting time, you can take the average of the historical commuting time, or you can take the last commuting time, etc. For example, there are 5 historical commuting times, and the commuting times each time are 10min, 12min, 15min, 9min, and 8min. The average of the above 5 historical commuting times can be obtained to obtain the historical commuting time required this time, or it can be the longest historical commuting time among the 5 times.

S22: Obtain the product of the historical commuting time and the preset output power to obtain the baseline energy consumption.

The preset output power can be read from the battery management system (BMS) in the electric scooter.

S23, determine the target tire pressure energy consumption, target battery energy consumption, target load energy consumption and target speed based on the target tire pressure energy consumption coefficient, target battery energy consumption coefficient, target load energy consumption coefficient, target speed energy consumption coefficient and baseline energy consumption. Consume energy.

Among them, the baseline energy consumption includes the energy consumption in the entire target commuting section.

For example, the product of the historical commuting time T and the preset output power E of the electric scooter battery is obtained to obtain the baseline energy consumption E*T, and the total energy consumption S=(A1+A2+A3+A4+A5)*E *T, where A1*E*T is the target tire pressure energy consumption, A2*E*T is the target battery energy consumption, A3*E*T is the target load energy consumption, A4*E*T is the target speed energy consumption, A5*E*T is the remaining energy consumption of the target.

In step 1022, obtain the remaining information except battery energy consumption information, tire pressure energy consumption information, load energy consumption information and speed energy consumption information during each commuting process corresponding to the target commuting section in the historical time period. Energy consumption.

For example, during historical time, the total energy consumption of a certain commute is E1×T1, in which the tire pressure energy consumption is A1×E1×T1, the battery energy consumption is A2×E1×T1, and the load energy consumption is A3× E1×T1, the speed energy consumption is A4×E1×T1, then the remaining energy consumption corresponding to this commute is E1×T1-A1×E1×T1-A2×E1×T1-A3×E1×T1-A4×E1× T1.

In step 1023, target remaining energy consumption information is determined based on the remaining energy consumption during each of the multiple commutes.

In this step, the average value of multiple remaining energy consumption corresponding to multiple commuting can be used as the target remaining energy consumption information, or the maximum value among the multiple remaining energy consumption corresponding to multiple commuting can be used as the target remaining energy consumption information. .

In step 1024, tire pressure energy consumption information, battery energy consumption information, load energy consumption information, speed energy consumption information and target remaining energy consumption information are displayed.

In this step, the tire pressure energy consumption information, battery energy consumption information, load energy consumption information, speed energy consumption information and other target energy consumption information can be displayed before riding (commuting) the electric scooter, or it can be displayed on the electric scooter. After riding the electric scooter (commuting), the tire pressure energy consumption information, battery energy consumption information, load energy consumption information, speed energy consumption information and target remaining consumption are determined based on the commuting time, commuting speed, and tire pressure in the target road section. The energy consumption corresponding to the energy information displays the energy consumption information of this ride.

The above technical solution can display tire pressure energy consumption information, battery energy consumption information, load energy consumption information, speed energy consumption information and other target energy consumption information, allowing users to intuitively obtain the specific energy consumption of each energy consumption information, and can Effectively alleviate users’ energy consumption anxiety.

Optionally, the commuting energy consumption information is determined based on the target tire pressure energy consumption coefficient, target battery energy consumption coefficient, target load energy consumption coefficient and target speed energy consumption coefficient as described in S2 above, and may also include the following S24 to S25. step:

S24, when the target remaining energy consumption information includes the target remaining energy consumption coefficient, obtain the ratio of the remaining energy consumption to the total energy consumption during each commuting process in multiple commuting.

In the total energy consumption, in addition to the target tire pressure energy consumption, target battery energy consumption, target load energy consumption, and target speed energy consumption, there is also the target remaining energy consumption. Among them, the remaining target energy consumption can be considered as energy consumption based on road conditions. Mainly consumes energy.

S25: Determine the target remaining energy consumption coefficient based on multiple ratios corresponding to multiple commutes.

In this step, by calculating the ratio of the remaining energy consumption during each historical commuting to the total energy consumption, multiple ratios corresponding to multiple commuting are obtained. The average of the multiple ratios can be used as the target remaining energy consumption coefficient, or the The maximum or minimum value of multiple ratios is used as the target remaining energy consumption coefficient. For example, after the first commute, the remaining energy consumption is 100kWh and the total energy consumption is 2000kwh. The ratio of the remaining energy consumption to the total energy consumption is 1/ 20. After the second commute, the remaining energy consumption is 150kWh, and the total energy consumption is 2000kwh. The ratio of the remaining energy consumption to the total energy consumption is 3/40. After multiple commutes, the average remaining energy consumption and The ratio of total energy consumption is used as the target remaining energy consumption coefficient.

The above technical solution can consider the remaining energy consumption mainly based on road condition energy consumption, generate and display the target remaining energy consumption coefficient, and comprehensively display the energy consumption information of the electric scooter, thus effectively improving the user experience.

Optionally, Figure 3 is a flow chart of another data processing method according to an exemplary embodiment. The method is applied to the client. As shown in Figure 3, the method may also include the following steps:

In step 103, the parameters to be optimized are determined based on the tire pressure energy consumption information, battery energy consumption information, load energy consumption information, speed energy consumption information and other energy consumption information.

In this step, the preset tire pressure energy consumption threshold, battery energy consumption threshold, load energy consumption threshold, speed energy consumption threshold and other energy consumption thresholds can be obtained; according to the tire pressure energy consumption information, battery energy consumption information, load energy consumption Information, speed energy consumption information, other energy consumption information and tire pressure energy consumption thresholds, battery energy consumption thresholds, load energy consumption thresholds, speed energy consumption thresholds and other energy consumption thresholds determine the parameters to be optimized.

In step 104, target energy-saving suggestions are output based on the parameters to be optimized.

For example, through each energy consumption information and the corresponding energy consumption threshold, when the energy consumption in daily use is higher than the corresponding energy consumption threshold, the optimization parameters of each energy consumption information can be obtained. For example, in the battery energy consumption information, the energy consumption is high For setting the energy consumption threshold, the battery may be used for too long, resulting in problems such as aging, high battery temperature, and too many times of charge and discharge. After displaying the energy consumption information to the user, the client can prompt the user due to Increased battery energy consumption and possible reasons, and provide energy-saving suggestions such as battery replacement or battery repair.

In the above technical solution, after obtaining the tire pressure energy consumption information, battery energy consumption information, load energy consumption information, speed energy consumption information and other energy consumption information, the parameters to be optimized can be obtained based on the corresponding energy consumption information, and then the parameters to be optimized can be obtained based on the corresponding energy consumption information. The parameters can output energy-saving suggestions, make appropriate suggestions based on the corresponding energy consumption information, and remind users in a timely manner, which can save resource waste to a certain extent while improving the user's daily experience.

Optionally, Figure 4 is a flow chart of yet another data processing method according to an exemplary embodiment. The method is applied to the client. As shown in Figure 4, the method may also include the following steps:

In step 105, if it is determined that the second instruction for the electric scooter to end the commuting mode is received, actual energy consumption information corresponding to the target commuting section during this commuting process is obtained.

In this step, the actual energy consumption information may include tire pressure energy consumption information determined through this commuting time, battery output power and actual tire pressure in the target commuting section. Through this commuting time, battery output power and the actual tire pressure in the target commuting section. The battery energy consumption information is determined by the actual battery status information. The speed energy consumption information is determined by the commuting time, battery output power and the actual commuting speed in the target commuting section. The speed energy consumption information is determined by the commuting time, battery output power and actual load. The load energy consumption information, as well as the remaining energy consumption information of the target determined through the commuting time, battery output power, tire pressure energy consumption information, battery energy consumption information, speed energy consumption information and load energy consumption information.

In step 106, the target difference between the commuting energy consumption information and the actual energy consumption information is determined and displayed.

It is understandable that when the user ends the commuting mode, the actual energy consumption information corresponding to the target commuting section during the commuting process can be obtained through the battery management system (BMS). When entering the commuting mode, the commuting energy consumption information is displayed. Predicted based on historical records. When the actual commuting is over, the predicted commuting energy consumption information and the actual commuting energy consumption information as well as the energy consumption difference between the two can be displayed to the user.

Through the above technical solution, after the electric scooter is connected to the client, it receives the instruction to enter the commuting mode. By obtaining various information, the energy consumption information is processed according to the user's actual situation, and the predicted commuting consumption of the electric scooter can be displayed to the user. Energy information and actual commuting energy consumption information can also provide energy saving suggestions, which can alleviate users' energy consumption anxiety to a certain extent and improve user experience.

Figure 5 is a flow chart of a data processing method according to an exemplary embodiment; as shown in Figure 5, the method is applied to electric scooters and may include:

In step 201, when it is determined that the terminal where the client is located establishes a communication connection with the electric scooter, if it is determined that the electric scooter enters the commuting mode, the commuting energy consumption information sent by the client is received, and the electric scooter is The commuting energy consumption information is displayed on the display.

Among them, the commuting energy consumption information is determined by the client by obtaining the current body status information of the electric scooter, the target commuting section and the target driving speed information, and based on the body status information, the target commuting section and the target driving speed information. The electric scooter will generate commuting energy consumption information. For the above acquisition process of commuting energy consumption information, please refer to the relevant description on the client side, and this disclosure will not be repeated here.

Optionally, the method may also include the following steps:

In step S202, when it is determined that the electric scooter has ended the commuting mode, receive and display the actual energy consumption information corresponding to the target commuting section during this commuting process sent by the client, and the commuting energy consumption information and the The target difference value of this energy consumption information.

For the process of obtaining the actual energy consumption information and the target difference, please refer to the specific implementation process shown in Figure 4 on the client side above, and this disclosure will not be repeated here.

The above technical solution can directly display the commuting energy consumption information on the electric scooter, as well as the target difference between the commuting energy consumption information and the actual energy consumption information, which can effectively alleviate the user's energy consumption anxiety, thereby helping to improve the electric scooter. Scooter user experience.

Figure 6 is a block diagram of a data processing device according to an exemplary embodiment. The data processing device 500 can be applied to a client. Referring to Figure 6, the data processing device 500 includes:

The acquisition module 501 is configured to obtain the current body status information of the electric scooter if it receives the first instruction for the electric scooter to enter the commuting mode when it is determined that the client terminal is connected to the electric scooter. Target commute segment and target driving speed information.

The display module 502 is configured to determine and display the commuting energy consumption information that the electric scooter will generate based on the vehicle body status information, the target commuting road section and the target driving speed information.

Optionally, the display module 502 is also configured to:

Query the tire pressure energy consumption information corresponding to the tire pressure information, the battery energy consumption information corresponding to the battery status information, the load energy consumption information corresponding to the load information, and the speed consumption corresponding to the target driving speed information from the preset energy consumption influence coefficient list. Energy information, where the energy consumption impact coefficient list includes tire pressure energy consumption coefficients corresponding to different tire pressures, battery energy consumption coefficients corresponding to different battery status information, load energy consumption coefficients corresponding to different loads, and speed consumption corresponding to different driving speeds. energy coefficient.

Obtain the remaining energy consumption except battery energy consumption information, tire pressure energy consumption information, load energy consumption information and speed energy consumption information during each commuting process corresponding to the target commuting section in the historical time period.

The target remaining energy consumption information is determined based on the remaining energy consumption during each of the multiple commutes.

The display sub-module is configured to display tire pressure energy consumption information, battery energy consumption information, load energy consumption information, speed energy consumption information and other target energy consumption information.

Optionally, the display module 502 is also configured to:

Query the target tire pressure energy consumption coefficient corresponding to the tire pressure information, the target battery energy consumption coefficient corresponding to the battery status information, the target load energy consumption coefficient corresponding to the load information, and the target driving speed information from the preset energy consumption influence coefficient list The target speed energy consumption coefficient;

The commuting energy consumption information is determined based on the target tire pressure energy consumption coefficient, target battery energy consumption coefficient, target load energy consumption coefficient and target speed energy consumption coefficient.

Optionally, the display module 502 is also configured to:

Tire pressure energy consumption information includes target tire pressure energy consumption coefficient and/or target tire pressure energy consumption;

Battery energy consumption information includes target battery energy consumption coefficient and/or target battery energy consumption;

Load energy consumption information includes target load energy consumption coefficient and/or target load energy consumption;

Speed energy consumption information includes target speed energy consumption coefficient and/or target speed energy consumption;

Optionally, the display module 502 is also configured to:

When the tire pressure energy consumption information includes the target tire pressure energy consumption, the battery energy consumption information includes the target battery energy consumption, the load energy consumption information includes the target load energy consumption, and the speed energy consumption information includes the target speed energy consumption, obtain the current user Historical commuting time on the target commute segment;

Determine the target tire pressure energy consumption, target battery energy consumption, target load energy consumption and target speed energy consumption based on the target tire pressure energy consumption coefficient, target battery energy consumption coefficient, target load energy consumption coefficient, target speed energy consumption coefficient and baseline energy consumption. .

Optionally, the display module 502 is also configured to:

When the target remaining energy consumption information includes the target remaining energy consumption coefficient, obtain the ratio of the remaining energy consumption to the total energy consumption in each commuting process in multiple commutes;

The target remaining energy consumption coefficient is determined based on multiple ratios corresponding to multiple commutes.

Optionally, Figure 7 is a block diagram of a data processing device according to the embodiment shown in Figure 5. Referring to Figure 7, the data processing device 500 may also include:

The parameter determination module 503 is configured to determine parameters to be optimized based on tire pressure energy consumption information, battery energy consumption information, load energy consumption information, speed energy consumption information and other energy consumption information.

The suggestion output module 504 is configured to output target energy-saving suggestions according to the parameters to be optimized.

Optionally, the parameter determination module 503 is also configured as:

According to tire pressure energy consumption information, battery energy consumption information, load energy consumption information, speed energy consumption information, other energy consumption information and tire pressure energy consumption threshold, battery energy consumption threshold, load energy consumption threshold, speed energy consumption threshold and other energy consumption The parameter to be optimized can be determined by the threshold value.

Figure 8 is a block diagram of another data processing device according to the embodiment shown in Figure 5. Referring to Figure 8, the data processing device 500 may also include:

The actual energy consumption module 505 is configured to obtain the actual energy consumption information corresponding to the target commuting section during this commuting process when it is determined that the second instruction for the electric scooter to end the commuting mode is received.

The difference determination module 506 is configured to determine and display the target difference between the commuting energy consumption information and the actual energy consumption information.

Regarding the devices in the above embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments related to the method, and will not be described in detail here.

Figure 9 is a block diagram of a data processing device according to an exemplary embodiment. The data processing device 900 can be applied to an electric scooter. Referring to Figure 9, the data processing device 900 includes:

The first determination module 901 is configured to, when it is determined that the terminal where the client is located establishes a communication connection with the electric scooter, and if it is determined that the electric scooter enters the commuting mode, receives the commuting energy consumption information sent by the client, and The electric scooter’s display shows commuting energy consumption information;

Among them, the commuting energy consumption information is determined by the client by obtaining the current body status information of the electric scooter, the target commuting section and the target driving speed information, and based on the body status information, the target commuting section and the target driving speed information. The electric scooter will generate commuting energy consumption information.

Optionally, the data processing device 900 may also include:

The second determination module 902 is configured to receive and display the actual energy consumption information corresponding to the target commuting section during the current commuting process and the commuting energy consumption information sent by the client when it is determined that the electric scooter has ended the commuting mode. and the target difference between the actual energy consumption information.

The present disclosure also provides a computer-readable storage medium on which computer program instructions are stored. When the program instructions are executed by a processor, the steps of the data processing method provided by the present disclosure are implemented.

FIG. 10 is a block diagram of another data processing device 800 according to an exemplary embodiment. For example, the device 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like.

Referring to Figure 10, the device 800 may include one or more of the following components: a processing component 802, a memory 804, a power supply component 806, a multimedia component 808, an audio component 810, an input/output (I/O) interface 812, a sensor component 814, and communications component 816.

Processing component 802 generally controls the overall operations of device 800, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the above data processing method. Additionally, processing component 802 may include one or more modules that facilitate interaction between processing component 802 and other components. For example, processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802.

Memory 804 is configured to store various types of data to support operations at device 800 . Examples of such data include instructions for any application or method operating on device 800, contact data, phonebook data, messages, pictures, videos, etc. Memory 804 may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EEPROM), Programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

Power supply component 806 provides power to the various components of device 800. Power supply components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to device 800 .

Multimedia component 808 includes a screen that provides an output interface between the device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide action. In some embodiments, multimedia component 808 includes a front-facing camera and/or a rear-facing camera. When the device 800 is in an operating mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front-facing camera and rear-facing camera can be a fixed optical lens system or have a focal length and optical zoom capabilities.

Audio component 810 is configured to output and/or input audio signals. For example, audio component 810 includes a microphone (MIC) configured to receive external audio signals when device 800 is in operating modes, such as call mode, recording mode, and speech recognition mode. The received audio signal may be further stored in memory 804 or sent via communication component 816 . In some embodiments, audio component 810 also includes a speaker for outputting audio signals.

The input/output interface 812 provides an interface between the processing component 802 and a peripheral interface module, which may be a keyboard, a click wheel, a button, etc. These buttons may include, but are not limited to: Home button, Volume buttons, Start button, and Lock button.

Sensor component 814 includes one or more sensors that provide various aspects of status assessment for device 800 . For example, the sensor component 814 can detect the open/closed state of the device 800, the relative positioning of components, such as the display and keypad of the device 800, and the sensor component 814 can also detect a change in position of the device 800 or a component of the device 800. , the presence or absence of user contact with the device 800 , device 800 orientation or acceleration/deceleration and temperature changes of the device 800 . Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

Communication component 816 is configured to facilitate wired or wireless communication between apparatus 800 and other devices. Device 800 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In one exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communications component 816 also includes a near field communications (NFC) module to facilitate short-range communications. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

In an exemplary embodiment, apparatus 800 may be configured by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable Gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are implemented for executing the above data processing method.

In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions, such as a memory 804 including instructions, is also provided, and the instructions can be executed by the processor 820 of the device 800 to complete the above-mentioned data processing method. For example, the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

In addition to being an independent electronic device, the above-mentioned data processing device can also be a part of an independent electronic device. For example, in one embodiment, the device can be an integrated circuit (Integrated Circuit, IC) or a chip, where the integrated circuit can be An IC can also be a collection of multiple ICs; the chip can include but is not limited to the following types: GPU (Graphics Processing Unit, graphics processor), CPU (Central Processing Unit, central processing unit), FPGA (Field Programmable Gate Array) , programmable logic array), DSP (Digital Signal Processor, digital signal processor), ASIC (Application Specific Integrated Circuit, application-specific integrated circuit), SOC (System on Chip, SoC, system on a chip or system-level chip), etc. The above integrated circuit or chip can be used to execute executable instructions (or codes) to implement the above data processing method. The executable instructions can be stored in the integrated circuit or chip, or can be obtained from other devices or devices. For example, the integrated circuit or chip includes a processor, a memory, and an interface for communicating with other devices. The executable instructions can be stored in the memory, and when the executable instructions are executed by the processor, the above-mentioned data processing method is implemented; or, the integrated circuit or chip can receive the executable instructions through the interface and transmit them to the processor for execution. , to implement the above data processing method.

In another exemplary embodiment, a computer program product is also provided, the computer program product comprising a computer program executable by a programmable device, the computer program having a function for performing the above when executed by the programmable device. The code part of the data processing method.

Other embodiments of the disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any variations, uses, or adaptations of the disclosure that follow the general principles of the disclosure and include common knowledge or customary technical means in the technical field that are not disclosed in the disclosure. . It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise structures described above and illustrated in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the disclosure is limited only by the appended claims.

Claims

A data processing method, characterized in that it is applied to a client, and the method includes:

When it is determined that the terminal where the client is located has established a communication connection with the electric scooter, if the first instruction for the electric scooter to enter the commuting mode is received, the current body status information of the electric scooter, the target commuting section and the target Driving speed information;

According to the vehicle body status information, the target commuting road section and the target driving speed information, the commuting energy consumption information that the electric scooter will generate is determined and displayed.
The method according to claim 1, wherein the vehicle body status information includes the current tire pressure information, battery status information and load information of the electric scooter, and the commuting energy consumption information includes tire pressure energy consumption information, Battery energy consumption information, load energy consumption information, speed energy consumption information and other target energy consumption information;

Determining and displaying the commuting energy consumption information that the electric scooter will generate based on the vehicle body status information, the target commuting road section and the target driving speed information includes:

According to the tire pressure information, the battery status information, the load information, the target commuting section and the target driving speed information, the tire pressure energy consumption information, the battery energy consumption information, the load consumption information are determined. energy information, the speed energy consumption information and the remaining energy consumption information of the target;

Display the tire pressure energy consumption information, the battery energy consumption information, the load energy consumption information, the speed energy consumption information and the target remaining energy consumption information.
The method of claim 2, wherein the tire pressure is determined based on the tire pressure information, the battery status information, the load information, the target commuting section and the target driving speed information. The energy consumption information, the battery energy consumption information, the load energy consumption information, the speed energy consumption information and the target remaining energy consumption information include:

Query the tire pressure energy consumption information corresponding to the tire pressure information, the battery energy consumption information corresponding to the battery status information, the load energy consumption information corresponding to the load information, and the Speed energy consumption information corresponding to the target driving speed information, wherein the energy consumption impact coefficient list includes tire pressure energy consumption coefficients corresponding to different tire pressures, battery energy consumption coefficients corresponding to different battery status information, and load consumption corresponding to different loads. Energy coefficient, the speed energy consumption coefficient corresponding to different driving speeds;

Obtain the remaining energy consumption except battery energy consumption information, tire pressure energy consumption information, load energy consumption information and speed energy consumption information during each commuting process corresponding to the target commuting section in the historical time period;

The target remaining energy consumption information is determined based on the remaining energy consumption during each of the plurality of commuting.
The method of claim 3, wherein the tire pressure energy consumption information corresponding to the tire pressure information is queried from a preset energy consumption impact coefficient list, and the battery energy consumption information corresponding to the battery status information is , the load energy consumption information corresponding to the load information, and the speed energy consumption information corresponding to the target driving speed information, including:

Query the target tire pressure energy consumption coefficient corresponding to the tire pressure information, the target battery energy consumption coefficient corresponding to the battery status information, and the target load energy consumption coefficient corresponding to the load information from the preset energy consumption impact coefficient list, and the target speed energy consumption coefficient corresponding to the target driving speed information;

The commuting energy consumption information is determined according to the target tire pressure energy consumption coefficient, the target battery energy consumption coefficient, the target load energy consumption coefficient and the target speed energy consumption coefficient.
The method according to claim 4, characterized in that:

The tire pressure energy consumption information includes target tire pressure energy consumption coefficient and/or target tire pressure energy consumption;

The battery energy consumption information includes target battery energy consumption coefficient and/or target battery energy consumption;

The load energy consumption information includes target load energy consumption coefficient and/or target load energy consumption;

The speed energy consumption information includes target speed energy consumption coefficient and/or target speed energy consumption;

The target remaining energy consumption information includes the target remaining energy consumption coefficient and/or the target remaining energy consumption.
The method according to claim 4, characterized in that: determining the target tire pressure energy consumption coefficient, the target battery energy consumption coefficient, the target load energy consumption coefficient and the target speed energy consumption coefficient. Describes commuting energy consumption information, including:

The tire pressure energy consumption information includes target tire pressure energy consumption, the battery energy consumption information includes target battery energy consumption, the load energy consumption information includes target load energy consumption, and the speed energy consumption information includes target speed consumption. In the case of energy, obtain the current user's historical commuting time on the target commuting section;

Obtain the product of the historical commuting time and the preset output power to obtain the baseline energy consumption;

According to the target tire pressure energy consumption coefficient, the target battery energy consumption coefficient, the target load energy consumption coefficient, the target speed energy consumption coefficient and the baseline energy consumption, the target tire pressure energy consumption, the The target battery energy consumption, the target load energy consumption and the target speed energy consumption.
The method according to claim 4, characterized in that: determining the target tire pressure energy consumption coefficient, the target battery energy consumption coefficient, the target load energy consumption coefficient and the target speed energy consumption coefficient. Describes commuting energy consumption information, including:

When the target remaining energy consumption information includes a target remaining energy consumption coefficient, obtain the ratio of the remaining energy consumption to the total energy consumption during each commuting process in the multiple commuting;

The target remaining energy consumption coefficient is determined based on a plurality of the ratios corresponding to the multiple commutes.
The method of claim 2, further comprising:

Determine parameters to be optimized based on the tire pressure energy consumption information, the battery energy consumption information, the load energy consumption information, the speed energy consumption information and the remaining energy consumption information;

Target energy saving suggestions are output based on the parameters to be optimized.
The method according to claim 8, characterized in that the energy consumption information based on the tire pressure, the battery energy consumption information, the load energy consumption information, the speed energy consumption information and the remaining energy consumption The information determines the parameters to be optimized, including:

Obtain the preset tire pressure energy consumption threshold, battery energy consumption threshold, load energy consumption threshold, speed energy consumption threshold and other energy consumption thresholds;

According to the tire pressure energy consumption information, the battery energy consumption information, the load energy consumption information, the speed energy consumption information, the remaining energy consumption information and the tire pressure energy consumption threshold, the battery energy consumption The threshold, the load energy consumption threshold, the speed energy consumption threshold and the remaining energy consumption thresholds determine the parameters to be optimized.
The method according to any one of claims 1-9, characterized in that the method further includes:

When it is determined that the second instruction for the electric scooter to end the commuting mode is received, obtain the actual energy consumption information corresponding to the target commuting section during this commuting process;

Determine and display the target difference between the commuting energy consumption information and the actual energy consumption information.
A data processing method, characterized in that it is applied to electric scooters, and the method includes:

When it is determined that the terminal where the client is located establishes a communication connection with the electric scooter, if it is determined that the electric scooter enters the commuting mode, the commuting energy consumption information sent by the client is received and displayed on the electric scooter. Display the commuting energy consumption information on the screen;

Wherein, the commuting energy consumption information is obtained by the client by obtaining the current body status information, target commuting section and target driving speed information of the electric scooter. According to the body status information, the target commuting section and the The target driving speed information determines the commuting energy consumption information that the electric scooter will generate.
The method according to claim 11, characterized in that, the method further includes:

When it is determined that the electric scooter has ended the commuting mode, receive and display the actual energy consumption information corresponding to the target commuting section during the current commuting process and the commuting energy consumption information and the actual energy consumption sent by the client. The target difference of information.
A data processing device, characterized in that it is applied to a client, and the device includes:

The acquisition module is configured to acquire the current body status information of the electric scooter if it receives the first instruction for the electric scooter to enter the commuting mode when it is determined that the terminal where the client is located has established a communication connection with the electric scooter. , target commuting section and target driving speed information;

A display module configured to determine and display the commuting energy consumption information that the electric scooter will generate based on the vehicle body status information, the target commuting road section and the target driving speed information.
A data processing device, characterized in that it is applied to an electric scooter, and the device includes:

The first determination module is configured to receive the commuting energy consumption information sent by the client if it is determined that the electric scooter has entered the commuting mode, and Display the commuting energy consumption information on the display screen of the electric scooter;

Wherein, the commuting energy consumption information is obtained by the client by obtaining the current body status information, target commuting section and target driving speed information of the electric scooter. According to the body status information, the target commuting section and the The target driving speed information determines the commuting energy consumption information that the electric scooter will generate.
A data processing device, characterized in that it is applied to electronic equipment, including:

processor;

Memory used to store instructions executable by the processor;

Wherein, the processor is configured to execute the executable instructions to implement the steps of the method according to any one of claims 1 to 12.
A computer-readable storage medium on which computer program instructions are stored, characterized in that when the program instructions are executed by a processor, the steps of the method described in any one of claims 1 to 12 are implemented.