Hydrogen energy sharing vehicle energy supplement demand prediction method and system

Abstract

The present application relates to the field of hydrogen energy sharing bicycles, and aims to solve the problem that there is no more accurate decision management method when hydrogen energy sharing bicycles are refueled, and energy saving and emission reduction cannot be further achieved, and specifically relates to a hydrogen energy sharing bicycle refueling demand prediction method and system; when making a refueling decision for a hydrogen energy sharing bicycle, the use position and parking position of the hydrogen energy sharing bicycle are divided into multiple levels, the use habits of hydrogen energy sharing bicycles in different regions are predicted, the refueling demand degree of the hydrogen energy sharing bicycle is comprehensively judged according to the use habits, the refueling demand degree is taken as a decision basis for refueling, the accuracy of the refueling decision of the hydrogen energy sharing bicycle is improved, and when refueling, a dynamic threshold decision method is used according to the load condition of green energy hydrogen production, so that the refueling of the hydrogen energy sharing bicycle is highly fitted with the clean power generation curve, the power transfer and storage cost is reduced, and energy saving and emission reduction are achieved.

Description

TECHNICAL FIELD

[0001] The application relates to the field of hydrogen energy sharing bicycles, and particularly relates to a hydrogen energy sharing bicycle energy supplement demand prediction method and system. BACKGROUND

[0002] The hydrogen energy sharing bicycle is a zero-carbon travel tool taking a hydrogen fuel cell as a core power source. When the hydrogen amount is insufficient, a worker can complete energy supplement by replacing a hydrogen tank, thereby completely solving the problem of long charging time of a traditional electric bicycle. During travel, the vehicle only emits water vapor, and truly realizes green environmental protection. In addition, the endurance capacity is more excellent than that of the traditional electric bicycle, especially in winter.

[0003] At present, the existing hydrogen energy sharing bicycle is managed in a fine and normative manner through the Internet of Things, a big data prediction and scheduling system, and in a sharing mode. The hydrogen energy is safely introduced into people's daily life through centralized energy supplement management and unified standard operation. The hydrogen energy micro-traffic serves people's travel demand, relieves urban traffic pressure, and constructs a zero-carbon green micro-traffic system. The hydrogen energy micro-traffic network improves the urban travel environment, reduces the urban carbon emission and the urban management difficulty.

[0004] However, the management focus of the hydrogen energy sharing bicycle in the prior art is still focused on the scheduling and delivery process of the vehicle, and the energy supplement of the vehicle lacks effective management. In order to further improve the environmental protection degree of the hydrogen energy sharing bicycle, the hydrogen fuel cell generally uses clean energy green electricity to produce hydrogen mainly and traditional energy to produce hydrogen as a supplement when supplementing energy. However, the stability of clean energy hydrogen production is insufficient, and there are power generation peaks and power generation troughs in an undetermined state. Therefore, in order to further improve the environmental protection degree of the hydrogen energy sharing bicycle, it is necessary to more accurately predict and control the energy supplement operation of the hydrogen energy sharing bicycle, so that the energy supplement load of the hydrogen energy sharing bicycle is highly fitted with the clean energy power generation curve, and further energy saving and emission reduction is realized.

[0005] In view of the above technical problems, the application provides a solution. SUMMARY

[0006] The application improves the hydrogen energy sharing vehicle energy supplement decision-making accuracy, avoids the problem of unreasonable energy supplement priority caused by the lack of spatial interaction when the traditional energy supplement is simply based on the cruising range, and simultaneously, when the energy supplement is performed, a dynamic threshold decision-making method is used according to the load condition of green energy hydrogen production, so that the hydrogen energy sharing vehicle energy supplement is highly fitted with the clean power generation curve, the power transfer and storage cost is reduced, energy saving and emission reduction are achieved, and the problem of lacking a more accurate decision-making management method for hydrogen energy sharing bicycle energy supplement, the insufficient fitting degree with the clean energy generation curve, the use of city power hydrogen production for energy supplement, and the inability to further save energy and reduce emissions are solved, and a hydrogen energy sharing vehicle energy supplement demand prediction method and system are provided.

[0007] The object of the application can be achieved by the following technical solutions:

[0008] A hydrogen energy sharing vehicle energy supplement demand prediction method comprises the following steps:

[0009] Step one: the running conditions of each hydrogen energy sharing vehicle are comprehensively collected by the management platform, and the running areas are divided, and the running conditions of the hydrogen energy sharing vehicles in different areas are classified and counted;

[0010] Step two: through the classified counting, the driving parameters of the hydrogen energy sharing vehicles corresponding to different running areas as the driving starting point are obtained;

[0011] Step three: the parking position of the hydrogen energy sharing vehicle is further analyzed, and the remaining cruising range of the hydrogen energy sharing vehicle in the same parking area is obtained;

[0012] Step four: according to the remaining cruising range and the driving parameters, the available conditions of the vehicles in the same parking area are obtained;

[0013] Step five: according to the available conditions of the vehicles, the vehicle energy supplement demand degree is generated;

[0014] Step six: the load condition of the hydrogen energy supplement station is collected, the energy supplement load parameter is obtained, and the vehicle energy supplement decision is generated through comprehensive analysis of the vehicle energy supplement demand degree and the energy supplement load parameter.

[0015] As a preferred embodiment of the present application, in the step five, the vehicle energy supplement demand degree is generated by obtaining the remaining electric quantity of the vehicle in the parking area, comparing the remaining electric quantity with the driving parameters, obtaining the available driving times, judging the driving times with the set standard, classifying the hydrogen energy sharing vehicle as a vehicle with insufficient endurance or a normal vehicle, and generating the vehicle energy supplement demand degree according to the proportion of the vehicle with insufficient endurance.

[0016] A hydrogen energy sharing vehicle energy supplement demand prediction system comprises a vehicle tracking module, a vehicle statistics module, a multi-level area division module, an energy supplement planning module and an energy supplement decision module.

[0017] The multi-level area division module is used for dividing the running area and the parking area, wherein the running area is composed of a plurality of adjacent areas, and the parking area is composed of a plurality of non-adjacent areas.

[0018] The vehicle statistics module is used for classifying the running area and the parking area of the hydrogen energy sharing vehicle, and obtaining the position information of the hydrogen energy sharing vehicle.

[0019] The energy supplement planning module is used for comprehensively collecting the position information and the running condition of the hydrogen energy sharing vehicle, generating the driving parameters of the hydrogen energy sharing vehicle in the running area, and analyzing the remaining endurance of the hydrogen energy sharing vehicle in the parking area, to obtain the energy supplement demand degree.

[0020] The energy supplement decision module is used for collecting and analyzing the load of the hydrogen energy supplement station, and combining the energy supplement demand degree to generate the vehicle energy supplement decision.

[0021] As a preferred embodiment of the present application, the parameters collected by the vehicle tracking module of the hydrogen energy sharing vehicle include the single driving distance and the driving starting point.

[0022] The vehicle tracking module records the single driving distance as the single running quantity.

[0023] The vehicle tracking module calculates the single endurance loss by the difference between the endurance corresponding to the single driving starting time and the single driving ending time of the hydrogen energy sharing vehicle.

[0024] The vehicle tracking module takes the single running loss, the single running quantity and the driving starting point as the running condition.

[0025] As a preferred embodiment of the present application, when the multi-level area division module divides the running area, the overall running service range of the hydrogen energy sharing vehicle is first obtained and recorded as the total range, and the total range is divided into separate running areas according to the division algorithm.

[0026] The method for performing the operation area division by the multi-level area division module is as follows: marking the roads in the total range, dividing the total range into a plurality of sub-areas through the roads, and selecting and merging adjacent sub-areas so that the area proportion difference of any two operation areas is less than a set proportion threshold.

[0027] As a preferred embodiment of the present application, when the multi-level area division module divides the parking area, it first selects an arbitrary operation area and marks the preset vehicle parking points in the operation area. The multi-level area division module performs distance statistics on two adjacent groups of vehicle parking points. If the distance between the two adjacent groups of vehicle parking points is less than or equal to a set distance threshold, they are classified into the same parking area. If the distance between the selected vehicle parking position and the parking area is still less than or equal to the set distance threshold, they are again merged into the same parking area. If the distance between the two adjacent groups of vehicle parking points is greater than the set distance threshold or the distance between the selected vehicle parking position and the parking area is greater than the set distance threshold, they are classified into different parking areas.

[0028] After the multi-level area division module classifies all the vehicle parking points, it records each different parking area obtained.

[0029] As a preferred embodiment of the present application, the vehicle statistics module divides the operation area where the hydrogen energy sharing vehicle is located by taking the driving starting point in the operation as the operation area.

[0030] The vehicle statistics module divides the parking area where the hydrogen energy sharing vehicle is located by taking the parking area where the idle vehicle is located.

[0031] As a preferred embodiment of the present application, when the energy supplement plan module generates the driving parameters, it selects the hydrogen energy sharing vehicles belonging to the same operation area and statistics the single operation amount and single endurance loss of each hydrogen energy sharing vehicle. The energy supplement plan averages the single operation amount and single endurance loss to obtain the operation amount average and endurance loss average corresponding to each operation area, and records them as the driving parameters.

[0032] After the energy supplement plan module statistics the remaining endurance of the hydrogen energy sharing vehicles in the parking area, it obtains the driving parameters according to the operation area to which the parking area belongs, and calculates the endurance remaining times and operation remaining times according to the remaining endurance, the endurance loss average and the operation amount average. The energy supplement plan module takes the endurance remaining times and operation remaining times as the arithmetic average and obtains the endurance times of the hydrogen energy sharing vehicle by rounding down.

[0033] As a preferred embodiment of the present application, the energy supplement planning module compares the number of times of hydrogen energy sharing vehicles in each parking area with the set number threshold, and records the vehicles with the number of times less than the set number threshold as the vehicles with insufficient endurance;

[0034] The energy supplement planning module records the proportion of the total number of vehicles with insufficient endurance in the parking area as the energy supplement demand degree.

[0035] As a preferred embodiment of the present application, the energy supplement decision module collects the load of the hydrogen energy supplement station, calculates the proportion of the current load and the highest load, and selects the corresponding demand threshold according to the proportion, wherein the demand threshold is positively correlated with the proportion, and records the parking area with the energy supplement demand degree greater than the set demand threshold as the energy supplement area and generates the energy supplement reminder.

[0036] Compared with the prior art, the present application has the following advantages:

[0037] In the present application, when making a decision on the hydrogen energy sharing vehicle, the use position and the parking position of the hydrogen energy sharing vehicle are divided into multiple levels according to the geographical position of the hydrogen energy sharing vehicle, so as to predict the use habits of the hydrogen energy sharing vehicle in different areas, comprehensively judge the remaining available conditions of the hydrogen energy sharing vehicle according to the use habits, obtain the energy supplement demand degree of the hydrogen energy sharing vehicle, and use the energy supplement demand degree of the hydrogen energy sharing vehicle in different parking areas as the decision basis for energy supplement, thereby improving the accuracy of the energy supplement decision of the hydrogen energy sharing vehicle, avoiding the problem of unreasonable energy supplement priority caused by the lack of spatial interaction when the energy supplement is simply based on the endurance mileage in the prior art, and using a dynamic threshold decision method according to the load of green energy hydrogen production when supplementing energy, so that the energy supplement of the hydrogen energy sharing vehicle is highly fitted with the clean power generation curve, the cost of power transfer and storage is reduced, and energy saving and emission reduction are achieved. BRIEF DESCRIPTION OF DRAWINGS

[0038] In order to facilitate the understanding of those skilled in the art, the present application will be further described below with reference to the accompanying drawings.

[0039] Figure 1 The system block diagram of the present application is shown in the figure.

[0040] Figure 2 The system flowchart of the present application is shown in the figure. DETAILED DESCRIPTION

[0041] The technical solutions of the present application will be described clearly and completely below in connection with the embodiments. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.

[0042] Embodiment one: please refer to Figure 1 - Figure 2 As shown in the figure, a hydrogen energy sharing vehicle energy supplement demand prediction method comprises the following steps:

[0043] Step one: through the management platform, the single driving distance, single cruising consumption operation condition of each hydrogen energy sharing vehicle is comprehensively collected, and the operation area is divided, and the operation condition of the hydrogen energy sharing vehicle in different areas is classified and counted;

[0044] Step two: through the classified counting, the single average driving distance of the hydrogen energy sharing vehicle in different areas and the single average cruising consumption related driving parameters when starting driving in different areas are obtained;

[0045] Step three: the parking position of the hydrogen energy sharing vehicle is further analyzed, and the cruising remaining condition of the hydrogen energy sharing vehicle in the same parking area is obtained;

[0046] Step four: according to the cruising remaining condition and the driving parameters, the remaining driving times of the hydrogen energy sharing vehicle are predicted according to the single driving distance average value and the single cruising consumption average value of the area, so as to count the available condition of the vehicle in the same parking area;

[0047] Step five: the vehicles with too few remaining driving times are counted, so as to judge the available condition of the vehicle, and generate the energy supplement demand degree of the vehicle;

[0048] Step six: the load condition of the hydrogen energy supplement station is collected, the energy supplement load parameters are obtained, the energy supplement demand degree of the vehicle and the energy supplement load parameters are comprehensively analyzed, the energy supplement priority of the parking area with different energy supplement demand degrees is divided, and the energy supplement decision of the vehicle is generated.

[0049] Embodiment two: please refer to Figure 1 - Figure 2 As shown in the figure, a hydrogen energy sharing vehicle energy supplement demand prediction system comprises a vehicle tracking module, a vehicle counting module, a multi-level area division module, an energy supplement plan module and an energy supplement decision module. The vehicle tracking module is used for identifying different hydrogen energy sharing vehicles, and comprehensively collecting the operation condition of the hydrogen energy sharing vehicle according to the identified identity. The parameters collected by the vehicle tracking module of the hydrogen energy sharing vehicle include single driving distance and driving starting point;

[0050] The vehicle tracking module records the single-trip distance as the single-trip amount;

[0051] The vehicle tracking module calculates the difference between the endurance amount corresponding to the start time and the end time of the single-trip driving of the hydrogen energy sharing vehicle to obtain the single-trip endurance loss, wherein the single-trip is determined by a user unlocking the vehicle for riding and returning the vehicle.

[0052] The vehicle tracking module records the single-trip running loss, the single-trip running amount, and the driving starting point as the running condition.

[0053] The multi-level region division module is used to divide the running region and the parking region, wherein the running region area is a plurality of adjacent regions, and the parking region is a plurality of non-adjacent regions, and the specific division method includes:

[0054] S1: When the multi-level region division module divides the running region, it first obtains the overall running service range of the hydrogen energy sharing vehicle, records it as the total range, and divides the total range into individual running regions according to the division algorithm.

[0055] The method for dividing the running region by the multi-level region division module is to mark the roads in the total range, divide the total range into a plurality of sub-regions through the roads, and select and merge adjacent sub-regions so that the area proportion difference of any two running regions is less than a set proportion threshold.

[0056] S2: When the multi-level region division module divides the parking region, it first selects an arbitrary running region and marks the preset vehicle parking points existing in the running region. The multi-level region division module calculates the distance between adjacent two vehicle parking points. If the distance between the adjacent two vehicle parking points is less than or equal to a set distance threshold, they are classified into the same parking region. Then, the nearest vehicle parking position to the parking region is selected again. If the distance between the selected vehicle parking position and the parking region is still less than or equal to the set distance threshold, they are merged into the same parking region again. If the distance between the adjacent two vehicle parking points is greater than the set distance threshold or the distance between the selected vehicle parking position and the parking region is greater than the set distance threshold, they are classified into different parking regions.

[0057] After the multi-level region division module classifies all the vehicle parking points, it records each different parking region obtained.

[0058] The vehicle statistics module is used for classifying the operation area and parking area where the hydrogen energy sharing vehicle is located. When the operation area where the hydrogen energy sharing vehicle is located is divided, the vehicle statistics module takes the driving starting point in the operation condition as the operation area. When the parking area where the hydrogen energy sharing vehicle is located is divided, the vehicle statistics module divides the parking area where the idle vehicle is located, and records the division result as the position information of the hydrogen energy sharing vehicle.

[0059] The energy supplement plan module is used for comprehensively collecting the position information and operation condition of the hydrogen energy sharing vehicle. The driving parameters of the hydrogen energy sharing vehicle in the operation area are generated, and the remaining driving range of the hydrogen energy sharing vehicle is analyzed in combination with the parking area, so as to obtain the energy supplement demand degree.

[0060] When the energy supplement plan module generates the driving parameters, the hydrogen energy sharing vehicles belonging to the same operation area are selected, and the single operation amount and single driving range loss of each hydrogen energy sharing vehicle are counted. The energy supplement plan averages the counted single operation amount and single driving range loss, obtains the operation amount average and driving range loss average corresponding to each operation area, and records them as the driving parameters.

[0061] After the energy supplement plan module counts the remaining driving range of the hydrogen energy sharing vehicle in the parking area, the driving parameters are obtained according to the operation area of the parking area, and the remaining driving range, the driving range loss average and the operation amount average are calculated to obtain the remaining driving range number and the remaining operation number. The energy supplement plan module takes the arithmetic average of the remaining driving range number and the remaining operation number, and obtains the driving range number of the hydrogen energy sharing vehicle by rounding down.

[0062] The energy supplement plan module compares the driving range number of the hydrogen energy sharing vehicle in each parking area with the set number threshold, and records the hydrogen energy sharing vehicle with the driving range number less than the set number threshold as the vehicle with insufficient driving range.

[0063] The energy supplement plan module records the proportion of the total number of vehicles with insufficient driving range in the parking area as the energy supplement demand degree.

[0064] The energy supplement decision module is used for collecting and analyzing the load of the hydrogen energy supplement site. After the energy supplement decision module collects the load of the hydrogen energy supplement site, the proportion of the current load to the highest load is calculated, and the proportion is compared with the set proportion gear, so as to determine the gear i in which the proportion is located. The energy supplement decision module internally stores the demand threshold of multiple gears. The number of demand thresholds corresponds to the total number of all gears, and the demand threshold is positively correlated with the proportion. The energy supplement decision module records the parking area with the energy supplement demand degree greater than the set demand threshold as the energy supplement area, completes the vehicle energy supplement decision of the hydrogen energy sharing vehicle, and generates the energy supplement reminder to remind the dispatching management personnel to replace the fuel cell of the hydrogen energy sharing vehicle which needs to be supplemented.

[0065] The threshold value or the preset value, the preset range, etc. is set for result comparison analysis so as to determine good and bad, and the size value thereof is set according to large model analysis of sample data and artificial experience in combination, and is also adjusted appropriately through seasonal or rational influence conditions;

[0066] The setting of the weight proportion coefficient and the influence factor is according to the influence size of each parameter on the result, and a specific value is distributed to finally reflect the influence condition on the result, and is also set according to large model analysis of sample data and artificial experience in combination, and is also adjusted appropriately through seasonal or rational influence conditions.

[0067] The preferred embodiments of the present application disclosed above are only used to help explain the present application. The preferred embodiments do not describe all the details and limit the present application to the specific embodiments. Obviously, many modifications and variations can be made according to the content of the present application. The present application is selected and described in detail to better explain the principles and practical application of the present application, so that the skilled in the art can well understand and utilize the present application. The present application is limited by the claims and the entire scope and equivalents thereof.

Claims

1. A method for predicting energy supplement demand of a hydrogen energy sharing vehicle, characterized in that, The method comprises the following steps: Step 1: comprehensively collecting the operation of each hydrogen energy sharing vehicle through the management platform, and dividing the operation area, and classifying and counting the operation of the hydrogen energy sharing vehicle in different areas; Step 2: obtaining the driving parameters of the hydrogen energy sharing vehicle corresponding to the driving starting point in different operation areas through classification and counting; Step 3: further analyzing the parking area of the hydrogen energy sharing vehicle, and obtaining the remaining endurance of the hydrogen energy sharing vehicle in the same parking area; Step 4: judging and analyzing the remaining endurance combined with the driving parameters to obtain the availability of the vehicle in the same parking area; Step 5: judging the vehicle energy supplement demand degree according to the vehicle availability; Step 6: collecting the load of the hydrogen energy supplement station to obtain the energy supplement load parameter, and comprehensively analyzing the vehicle energy supplement demand degree and the energy supplement load parameter to generate a vehicle energy supplement decision; In step 5, the vehicle energy supplement demand degree is generated by obtaining the remaining power of the vehicle in the parking area, and then comparing the remaining power with the driving parameters to obtain the available driving times, and then judging the driving times with the set standard to classify the hydrogen energy sharing vehicle into a vehicle with insufficient endurance or a normal vehicle, and generating the vehicle energy supplement demand degree according to the proportion of the vehicle with insufficient endurance; In step 6, after collecting the load of the hydrogen energy supplement station, the proportion of the current load to the maximum load is calculated, and the corresponding demand threshold is selected according to the proportion, wherein the demand threshold is positively correlated with the proportion, and the parking area with the energy supplement demand degree greater than the set demand threshold is recorded as the energy supplement area, and an energy supplement reminder is generated.

2. A hydrogen energy sharing vehicle energy supplement demand prediction system suitable for the hydrogen energy sharing vehicle energy supplement demand prediction method of claim 1, characterized in that, The vehicle tracking module is used for identifying different hydrogen energy sharing vehicles, and comprehensively collecting the operation of the hydrogen energy sharing vehicle according to the identified identity; The multi-level area division module is used for dividing the operation area and the parking area, wherein the operation area is composed of a plurality of adjacent areas, and the parking area is composed of a plurality of non-adjacent areas; The vehicle statistical module is used for classifying the operation area and the parking area of the hydrogen energy sharing vehicle to obtain the position information of the hydrogen energy sharing vehicle; The energy supplement plan module is used for comprehensively collecting the position information and the operation of the hydrogen energy sharing vehicle, generating the driving parameters of the hydrogen energy sharing vehicle in the operation area, and analyzing the remaining endurance of the hydrogen energy sharing vehicle in the parking area to obtain the energy supplement demand degree; The energy supplement decision module is used for collecting and analyzing the load of the hydrogen energy supplement station, and combining the energy supplement demand degree to generate a vehicle energy supplement decision.

3. The hydrogen energy sharing vehicle refueling demand prediction system of claim 2, wherein The parameters collected by the vehicle tracking module of the hydrogen energy sharing vehicle include single driving distance and driving starting point; The vehicle tracking module records the single driving distance as single operation amount; The vehicle tracking module calculates the difference between the endurance corresponding to the single driving starting time and the single driving ending time of the hydrogen energy sharing vehicle to obtain the single endurance loss. The vehicle tracking module takes the single-run loss, single-run quantity and starting point of travel as the running condition.

4. The hydrogen energy sharing vehicle energy supplement demand prediction system of claim 2, wherein The multi-level area division module first obtains the overall running service range of the hydrogen energy sharing vehicle, records it as the total range, and divides the total range into individual running areas according to the division algorithm. The method for dividing the running areas by the multi-level area division module is to mark the roads in the total range, divide the total range into multiple sub-areas through the roads, and select and merge adjacent sub-areas so that the area proportion difference of any two running areas is less than a set proportion threshold.

5. The hydrogen energy sharing vehicle refueling demand prediction system of claim 2, wherein, When dividing the parking areas, the multi-level area division module first selects an arbitrary running area and marks the preset vehicle parking points in the running area. The multi-level area division module performs distance statistics on two adjacent groups of vehicle parking points. If the distance between the two adjacent groups of vehicle parking points is less than or equal to a set distance threshold, they are classified into the same parking area. Then, the closest vehicle parking position to the parking area is selected again. If the distance between the selected vehicle parking position and the parking area is still less than or equal to the set distance threshold, they are merged into the same parking area again. If the distance between the two adjacent groups of vehicle parking points is greater than the set distance threshold or the distance between the selected vehicle parking position and the parking area is greater than the set distance threshold, they are classified into different parking areas. After the multi-level area division module classifies all the vehicle parking points, it records each different parking area obtained.

6. The hydrogen energy sharing vehicle energy supplement demand prediction system of claim 2, wherein, The vehicle statistics module takes the starting point of travel in the running condition as the running area when dividing the running areas where the hydrogen energy sharing vehicles are located. The vehicle statistics module divides the parking areas where the hydrogen energy sharing vehicles are located according to the parking areas where the idle vehicles are located.

7. The hydrogen energy sharing vehicle refueling demand prediction system of claim 2, wherein, When generating the travel parameters, the energy supplement planning module selects the hydrogen energy sharing vehicles belonging to the same running area, and counts the single-run quantity and single-run loss of each hydrogen energy sharing vehicle. The energy supplement planning module averages the counted single-run quantity and single-run loss to obtain the average running quantity and average loss of each running area, and records them as the travel parameters. After counting the remaining travel conditions of the hydrogen energy sharing vehicles in the parking areas, the energy supplement planning module obtains the travel parameters according to the running areas to which the parking areas belong, and calculates the remaining travel times and remaining running times according to the remaining travel conditions, the average loss and the average running quantity. The energy supplement planning module takes the integer part of the arithmetic mean of the remaining travel times and the remaining running times to obtain the travel times of the hydrogen energy sharing vehicles.

8. The hydrogen energy sharing vehicle energy supplement demand prediction system of claim 6, wherein, The energy supplement planning module compares the travel times of the hydrogen energy sharing vehicles in each parking area with a set number threshold, and records the hydrogen energy sharing vehicles with travel times less than the set number threshold as the vehicles with insufficient travel. The energy supplement planning module records the proportion of the total number of vehicles with insufficient travel in the parking area as the energy supplement demand degree.

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