CN113978298B - Intelligent charging pile dynamic allocation method considering unmanned set card side azimuth charging - Google Patents
Intelligent charging pile dynamic allocation method considering unmanned set card side azimuth charging Download PDFInfo
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- CN113978298B CN113978298B CN202110975573.6A CN202110975573A CN113978298B CN 113978298 B CN113978298 B CN 113978298B CN 202110975573 A CN202110975573 A CN 202110975573A CN 113978298 B CN113978298 B CN 113978298B
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/30—Constructional details of charging stations
- B60L53/31—Charging columns specially adapted for electric vehicles
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses an intelligent charging pile dynamic allocation method considering unmanned collection card side azimuth charging, which comprises the following steps: (1) the calculation method of the electric quantity of the unmanned integrated circuit card bicycle; (2) checking the number of charging piles; (3) and (5) a charging pile dynamic allocation strategy. And calculating the electric quantity of the unmanned integrated card single vehicle according to the continuous operation cycle times of the single vehicle, the average mileage per pass, the average kilometer unit consumption, the winter unit consumption coefficient, the winter electric quantity reduction ratio, the available electric quantity ratio and other information. The check of the number of the charging piles should meet the use requirement, namely the power consumption per hour is smaller than the charging quantity per hour. And the charging pile dynamic allocation strategy comprises a charging pile management strategy and a charging position entering and exiting principle. The invention effectively improves the unmanned collection card charging efficiency and the charging pile utilization rate of the automatic container terminal.
Description
Technical Field
The invention relates to the technical field of automatic charging of unmanned integrated cards of container terminals, in particular to an intelligent charging pile dynamic allocation method considering unmanned integrated card side direction charging.
Background
With the development of battery technology and unmanned technology and the improvement of environment-friendly requirements on wharf operation equipment, a pure electric unmanned integrated card can become mainstream transportation equipment of a 'green intelligent' wharf transportation vehicle. The problem of charging the unmanned ic card is one of the first concerns.
The pile charging type charging method is that the whole vehicle is charged through the charging piles, the special land is required to be planned for distributing the charging piles, the charging method is small in investment and high in flexibility, and the standby battery pack is not required. The use risk of stake filling type is reduced by a wide margin than the formula of changing the electricity, when individual filling stake breaks down, has almost zero to the horizontal transportation operation of unmanned integrated circuit card of pier. In the dock operation site of high-speed operation, especially in the large-scale application of unmanned integrated circuit cards, the charging operation needs to be implemented under the premise of ensuring the horizontal transportation operation efficiency, and the real-time scheduling and calculation are needed according to the data such as the residual quantity of the integrated circuit cards, the task quantity, the driving mileage and the like.
Disclosure of Invention
The invention aims to provide an intelligent charging pile dynamic allocation method considering unmanned collecting card side direction charging, so as to improve the charging efficiency of an unmanned collecting card, reduce the charging bottleneck link of the unmanned collecting card, improve the utilization efficiency of a charging pile, reduce the operation influence on a wharf when a charging pile device fails, and improve the transportation operation efficiency of the unmanned collecting card.
In order to achieve the purpose of the invention, the technical scheme provided by the invention is as follows:
the invention provides an intelligent charging pile dynamic allocation method considering unmanned integrated card side azimuth charging, which is used for calculating actual electric quantity requirements of a single vehicle under different operation scenes by an unmanned integrated card single vehicle electric quantity calculation method, so as to calculate the maximum charging requirement of a wharf unmanned integrated card fleet under the actual operation environment;
checking whether the number of the charging piles can meet the actual charging requirement according to the maximum charging requirement and the charging capability of a single charging pile;
and the balance of the operation of each charging pile is ensured by using a dynamic distribution strategy of the charging piles, and the time of single charging operation is reduced.
Further, the calculation method of the electric quantity of the unmanned integrated card single vehicle is calculated according to the number of continuous operation cycles of the single vehicle, the average mileage per pass, the average kilometer unit consumption, the winter unit consumption coefficient, the winter electric quantity reduction ratio and the available electric quantity ratio; the method for calculating the electric quantity of the unmanned integrated card bicycle comprises the following specific calculation processes:
Q＝N×m×w×p/q/r
wherein Q represents the electric quantity of a bicycle; n represents the number of continuous operation cycles; m represents the average mileage per pass, determined by simulation; w represents average kilometer unit consumption, about 2-2.3 degrees electricity/kilometer; p represents a winter unit consumption coefficient, and the estimated value is 1.2; q represents the winter electric quantity reduction ratio, and the estimated 80%; r represents the available electric quantity ratio, and the value is 20-80% of the electric quantity ratio of the rapid charging interval;
the number of successive work cycles N is given by:
N＝T×n
wherein T represents the required continuous operation time, and n represents the number of operation passes per hour;
the required continuous run time T is derived from the following equation:
T＝t×δ/τ
wherein t is the fast charging time of the bicycle, and the numerical value is 30% -80% of the charging time; delta is the ratio of the unmanned integrated card to the shore bridge, and the numerical value is determined by simulation; τ is the utilization rate of the charging pile, and the numerical value is the ratio of the charging time to the operation time.
The number of operations per hour n is given by:
n＝η/δ
where η represents the quay efficiency.
According to the shore bridge efficiency of 28mov/h, calculating: single charge = 161 degrees (type 1C); 107 degree (1.5C type)
According to the shore bridge efficiency of 30mov/h, calculating: single charge = 172 degrees; 114 degree (1.5C type)
According to the shore bridge efficiency of 32mov/h, calculating: single charge = 184 degrees (type 1C); 122 degree (1.5C type)
The vehicle-mounted power amount is recommended: the 1C type battery is 180-200 DEG; the 1.5C type battery is 120-130 degrees.
Further, the checking of the number of the charging piles should meet the use requirement, namely the power consumption per hour is smaller than the charging quantity per hour;
the power consumption per hour is calculated by the following formula:
Q 1 ＝l×m×w×p×n
wherein Q is 1 The power consumption per hour is represented by l, the number of vehicles is represented by m, the average mileage per trip is represented by w, the average kilometer unit consumption is represented by p, the unit consumption coefficient in winter is represented by n, and the number of working trips per hour is represented by n.
The number of charging piles was thus obtained as 10.9 sets. Namely, the requirements can be met by 11 sets of automatic charging piles. In consideration of actual emergency such as damage of the charging piles, 13 sets of charging piles are provided.
Preferably, the dynamic allocation strategy of the charging pile comprises a charging pile management strategy and a charging position entering and exiting principle; the dynamic allocation strategy of the charging pile specifically comprises the following steps: in the actual loading and unloading ship operation task, the number of unmanned collecting cards needs to be dynamically adjusted according to the operation amount of the container, and then the number of charging piles is dynamically adjusted according to the charging demand amount of the unmanned collecting cards, and the method is as follows:
s1, based on calculation of the median of the operation amount of the shore bridges, 6 unmanned collection cards are arranged on 1 shore bridge, the number of the shore bridges is 12, namely 72 unmanned collection cards are required to be arranged for container loading and unloading operation.
S2, calculating the maximum operation amount of the shore bridges, wherein the number of the shore bridges is still 12, and 95 unmanned collection cards are required to be configured for operation.
S3, distributing charging piles in a harbor district between an A field and a C field, distributing 7 charging piles in the A field, distributing 4 groups of charging piles A1, A2, A3 and A4 in total, wherein each group of charging piles A1, A2 and A3 comprises 2 charging piles, the number of the charging piles A4 is 1, the interval between the charging piles in the group is 28 meters, and the interval between the charging piles in the group is 58 meters; the C field is distributed with 6 charging piles in total, the C field is distributed with C1, C2, C3 and C4 in total, the C1 and C2 are distributed with 4 groups in total, each group of C1 and C2 is provided with 1 charging pile, each group of C3 and C4 is provided with two charging piles, the charging piles in the group are arranged at intervals of 28 meters, and each group is arranged at intervals of 58 meters.
S4, based on calculation of the median of the working capacity of the quay bridge, 11 charging piles are required to be configured to ensure the charging requirement of an unmanned collecting card, and a fleet management system schedules a charging pile in a place A and 4 charging piles in a place C to charge, wherein the charging piles in groups C1, C2, C3 and C4 are sequentially selected in the place C so as to ensure sufficient vehicle intervals.
S5, based on the calculation of the maximum workload of the shore bridge, 13 charging piles are required to be configured to ensure the charging requirement of the unmanned collector card, the fleet management system schedules charging piles in the A site and the C site to charge, and specific charging potential is allocated to the unmanned collector card according to the charging potential in-out principle.
Further, the charging pile management strategy is specifically as follows:
s1, an unmanned integrated card transmits charging related information to a charging pile during charging, and a charging pile management module transmits the unmanned integrated card and charging pile information in charging to a system in real time.
S2, the system calculates the required quantity of the online charging piles by analyzing the past electric quantity and the vehicle use quantity, and uses the remaining charging piles for non-operation charging.
Further, the charging bit entering and exiting principle is specifically as follows:
s3, distributing automatic charging piles on an A field and a C field, wherein the A field is 309 m long, the C field is 278 m long, the length of a single unmanned collection card is 18 m, and a charging vehicle can directly enter a charging position only when the vehicle is charged at an interval of 40 m.
S4, because the length of the storage yard is insufficient to uniformly disperse the number of the charging piles required by the distribution system, the condition that two charging piles are spaced by 28 meters occurs, and the system is required to simultaneously schedule two adjacent charging piles to meet the vehicle entering and exiting requirements when the vehicle goes on and off line.
Compared with the prior art, the invention can realize the dynamic adjustment of the allocation strategy of the unmanned integrated card charging pile, improve the utilization efficiency of the charging pile resources, and eliminate the problem of traffic confusion caused by chaotic allocation of the conventional automatic wharf integrated card operation area and the charging area by planning a special charging area; in addition, the number and the positions of the charging piles are dynamically adjusted according to the actual unmanned collecting card workload, so that the maximum utilization of the charging pile resources is realized, the loading and unloading blocking risk caused by the charging pile faults is reduced, and the collaborative operation efficiency of various automatic equipment of the container wharf is improved. Therefore, the dynamic distribution method of the charging piles is very suitable for an operation system of an automatic container terminal. The intelligent charging pile dynamic allocation method for unmanned integrated card side direction charging is a great innovation for the layout of the charging position of the automatic container terminal, has wide application prospect in the aspects of constructing the automatic container terminal and upgrading and reforming the conventional terminal, and has good economic value and social benefit.
Drawings
Fig. 1 is a schematic plan view of a field charging pile distribution of an intelligent charging pile dynamic distribution system A, which is provided by an embodiment of the invention and takes unmanned collection card side azimuth charging into consideration.
Fig. 2 is a schematic plan view of a B-field charging pile distribution of an intelligent charging pile dynamic distribution system considering unmanned set card side azimuth charging according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is evident that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1 and fig. 2, in a specific embodiment of the intelligent charging pile dynamic allocation method considering unmanned card collecting side direction charging provided by the invention, the number and positions of the charging piles are dynamically adjusted according to the actual unmanned card collecting workload, so that the charging pile utilization rate is improved. Meanwhile, the invention also provides a charging position entering and exiting principle of unmanned integrated card charging, which can maximize the utilization of the field area.
The intelligent charging pile dynamic allocation method considering unmanned integrated card side azimuth charging provided by the embodiment comprises a calculation method of the electric quantity of an unmanned integrated card single car, checking of the number of charging piles and a charging pile dynamic allocation strategy; the method for calculating the electric quantity of the unmanned integrated card single vehicle is calculated according to the continuous operation cycle times of the single vehicle, the average mileage number, the average kilometer unit consumption, the winter unit consumption coefficient, the winter electric quantity reduction ratio, the available electric quantity ratio and other information; the check of the number of the charging piles should meet the use requirement, namely the power consumption per hour is smaller than the charging quantity per hour; the charging pile dynamic allocation strategy comprises a charging pile management strategy and a charging position entering and exiting principle.
In a preferred embodiment, the method for calculating the electric quantity of the unmanned integrated card bicycle comprises the following specific calculation processes:
Q＝N×m×w×p/q/r
wherein Q represents the electric quantity of a bicycle; n represents the number of continuous operation cycles; m represents the average mileage per pass, determined by simulation; w represents average kilometer unit consumption, about 2-2.3 degrees electricity/kilometer; p represents a winter unit consumption coefficient, and the estimated value is 1.2; q represents the winter electric quantity reduction ratio, and the estimated 80%; r represents the available electric quantity ratio, and the value is 20-80% of the electric quantity ratio of the rapid charging interval;
the number of successive work cycles N is given by:
N＝T×n
wherein T represents the required continuous operation time, and n represents the number of operation passes per hour;
the required continuous run time T is derived from the following equation:
T＝t×δ/τ
wherein t is the fast charging time of the bicycle, and the numerical value is 30% -80% of the charging time; delta is the ratio of the unmanned integrated card to the shore bridge, and the numerical value is determined by simulation; τ is the utilization rate of the charging pile, and the numerical value is the ratio of the charging time to the operation time.
The number of operations per hour n is given by:
n＝η/δ
where η represents the quay efficiency.
According to the shore bridge efficiency of 28mov/h, calculating: single charge = 161 degrees (type 1C); 107 degree (1.5C type)
According to the shore bridge efficiency of 30mov/h, calculating: single charge = 172 degrees; 114 degree (1.5C type)
According to the shore bridge efficiency of 32mov/h, calculating: single charge = 184 degrees (type 1C); 122 degree (1.5C type)
In the above technical solution, the power consumption per hour is calculated by the following formula:
Q 1 ＝l×m×w×p×n
wherein Q is 1 The power consumption per hour is represented by l, the number of vehicles is represented by m, the average mileage per trip is represented by w, the average kilometer unit consumption is represented by p, the unit consumption coefficient in winter is represented by n, and the number of working trips per hour is represented by n.
The number of charging piles was thus obtained as 10.9 sets. Namely, the requirements can be met by 11 sets of automatic charging piles. In consideration of actual emergency such as damage of the charging piles, 13 sets of charging piles are provided.
In a preferred embodiment, the charging pile dynamic allocation strategy specifically includes: in the actual loading and unloading ship operation task, the number of unmanned collecting cards needs to be dynamically adjusted according to the operation amount of the container, and then the number of charging piles is dynamically adjusted according to the charging demand amount of the unmanned collecting cards, and the method is as follows:
s1, based on calculation of the median of the operation amount of the shore bridges, 6 unmanned collection cards are arranged on 1 shore bridge, the number of the shore bridges is 12, namely 72 unmanned collection cards are required to be arranged for container loading and unloading operation.
S2, calculating the maximum operation amount of the shore bridges, wherein the number of the shore bridges is still 12, and 95 unmanned collection cards are required to be configured for operation.
S3, as shown in the figures 1 and 2, port area charging piles are distributed in an A field and a C field, 7 charging piles are distributed in the A field, A1, A2, A3 and A4 are distributed in total, 4 groups are distributed in total, 2 charging piles are distributed in each group of A1, A2 and A3, 1 charging pile is only distributed in the A4 group, the charging piles in the group are distributed at intervals of 28 meters, and 58 meters are distributed in each group; the C field is distributed with 6 charging piles in total, the C field is distributed with C1, C2, C3 and C4 in total, the C1 and C2 are distributed with 4 groups in total, each group of C1 and C2 is provided with 1 charging pile, each group of C3 and C4 is provided with two charging piles, the charging piles in the group are arranged at intervals of 28 meters, and each group is arranged at intervals of 58 meters.
S4, based on calculation of the median of the working capacity of the quay bridge, 11 charging piles are required to be configured to ensure the charging requirement of an unmanned collecting card, and a fleet management system schedules a charging pile in a place A and 4 charging piles in a place C to charge, wherein the charging piles in groups C1, C2, C3 and C4 are sequentially selected in the place C so as to ensure sufficient vehicle intervals.
S5, based on the calculation of the maximum workload of the shore bridge, 13 charging piles are required to be configured to ensure the charging requirement of the unmanned collector card, the fleet management system schedules charging piles in the A site and the C site to charge, and specific charging potential is allocated to the unmanned collector card according to the charging potential in-out principle.
In a preferred embodiment, the charging pile management strategy is as follows:
s1, an unmanned integrated card transmits charging related information to a charging pile during charging, and a charging pile management module transmits the unmanned integrated card and charging pile information in charging to a system in real time.
S2, the system calculates the required quantity of the online charging piles by analyzing the past electric quantity and the vehicle use quantity, and uses the remaining charging piles for non-operation charging.
In a preferred embodiment, the charging bit entry and exit principle is as follows:
s3, distributing automatic charging piles on an A field and a C field, wherein the A field is 309 m long, the C field is 278 m long, the length of a single unmanned collection card is 18 m, and a charging vehicle can directly enter a charging position only when the vehicle is charged at an interval of 40 m.
S4, because the length of the storage yard is insufficient to uniformly disperse the number of the charging piles required by the distribution system, the condition that two charging piles are spaced by 28 meters occurs, and the system is required to simultaneously schedule two adjacent charging piles to meet the vehicle entering and exiting requirements when the vehicle goes on and off line.
Take 1# and 2# charging piles in fig. 2 as examples:
the charging pile 1 is stopped to charge, and the charging vehicle can directly leave, but the charging vehicle 2 is the charging position which can not be directly entered by the charging vehicle because the charging vehicle can directly enter the charging position at intervals of 40 meters. This requires the system to schedule the charge vehicle # 2 to stop charging simultaneously with the charge vehicle # 1 and to move forward to the charge on # 1 in synchronization with the charge vehicle # 1, requiring the charge vehicle to enter the charge on # 2 simultaneously.
And the charging pile 2# stops charging, and the charging-stopped vehicle can directly leave, and because the charging piles 2# and 3# see the interval 40 m, the charging-required vehicle can directly enter the charging position without influencing the charging of other vehicles.
Other locations charge the piles and so on.
The operation mode of the invention is as follows:
when the electric quantity of the unmanned truck reaches a charging threshold, the unmanned truck enters a charging area from a charging preparation lane. The number and the positions of the charging piles are dynamically adjusted according to the number of the unmanned collecting cards, the number of the unmanned collecting cards required by calculation is calculated based on the median of the operation amount of the shore bridge and the maximum operation amount of the shore bridge respectively, and then the number of the charging piles of the A field and the C field is dynamically adjusted according to the number of the unmanned collecting cards; and distributing the positions of the charging piles according to the lengths of the charging field and the unmanned collector card and the actual required space for entering and exiting the charging field. And when the charging is performed, the unmanned integrated card transmits charging related information to the charging pile management module, and the charging pile management module transmits the unmanned integrated card and charging pile information in charging to the system in real time. The system calculates the demand of the online charging piles by analyzing the past electric quantity and the number of vehicles used, and uses the remaining charging piles for non-operation charging. Meanwhile, the system dispatches two adjacent charging piles to meet the requirements of vehicles for entering and exiting charging positions when the vehicles get on and off the line.
Finally, it should be noted that: the above-described embodiments are provided for illustration and description of the present invention only and are not intended to limit the invention to the embodiments described. In addition, it will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that many variations and modifications may be made in accordance with the teachings of the present invention, which fall within the scope of the claimed invention.
Claims (6)
1. An intelligent charging pile dynamic allocation method considering unmanned collection card side azimuth charging is characterized in that: the method comprises the following steps:
calculating actual electric quantity requirements of the single vehicle under different operation scenes by using an unmanned integrated card single vehicle electric quantity calculation method, and further calculating the maximum charging requirement of a wharf unmanned integrated card fleet under the actual operation environment;
checking whether the number of the charging piles can meet the actual charging requirement according to the maximum charging requirement and the charging capability of a single charging pile, and distributing the charging piles with the corresponding number to charge a motorcade;
the balance of the operation of each charging pile is ensured by using a dynamic distribution strategy of the charging piles, and the time of single charging operation is reduced;
the charging pile dynamic allocation strategy comprises a charging pile management strategy and a charging position entering and exiting principle; the dynamic allocation strategy of the charging pile specifically comprises the following steps: in an actual loading and unloading ship operation task, the number of unmanned collecting cards needs to be dynamically adjusted according to the operation amount of the container, and then the number of charging piles is dynamically adjusted according to the charging demand amount of the unmanned collecting cards.
2. The intelligent charging pile dynamic allocation method considering unmanned set card side azimuth charging according to claim 1, wherein the intelligent charging pile dynamic allocation method is characterized in that: the method for calculating the electric quantity of the unmanned integrated card single vehicle comprises the steps of calculating according to the number of continuous operation cycles of the single vehicle, the average mileage, the average kilometer unit consumption, the winter unit consumption coefficient, the winter electric quantity reduction ratio and the available electric quantity ratio; the specific calculation process is as follows:
Q＝N×m×w×p/q/r
wherein Q represents the electric quantity of a bicycle; n represents the number of continuous operation cycles; m represents the average mileage per pass, determined by simulation; w represents average kilometer unit consumption, about 2-2.3 degrees electricity/kilometer; p represents a winter unit consumption coefficient, and the estimated value is 1.2; q represents the winter electric quantity reduction ratio, and the estimated 80%; r represents the available electric quantity ratio, and the value is 20-80% of the electric quantity ratio of the rapid charging interval;
the number of successive work cycles N is given by:
N＝T×n
wherein T represents the required continuous operation time, and n represents the number of operation passes per hour;
the required continuous run time T is derived from the following equation:
T＝t×δ/τ
wherein t is the fast charging time of the bicycle, and the numerical value is 30% -80% of the charging time; delta is the ratio of the unmanned integrated card to the shore bridge, and the numerical value is determined by simulation; τ is the utilization rate of the charging pile, and the numerical value is the ratio of the charging time to the operation time;
the number of operations per hour n is given by:
n＝η/δ
where η represents the quay efficiency.
3. The intelligent charging pile dynamic allocation method considering unmanned set card side azimuth charging according to claim 1, wherein the intelligent charging pile dynamic allocation method is characterized in that: the check of the number of the charging piles should meet the use requirement, namely the power consumption per hour is smaller than the charging quantity per hour;
the power consumption per hour is calculated by the following formula:
Q 1 ＝l×m×w×p×n
wherein Q is 1 The power consumption per hour is represented by l, the number of vehicles is represented by m, the average mileage per trip is represented by w, the average kilometer unit consumption is represented by p, the unit consumption coefficient in winter is represented by n, and the number of working trips per hour is represented by n.
4. The intelligent charging pile dynamic allocation method considering unmanned set card side azimuth charging according to claim 1, wherein the intelligent charging pile dynamic allocation method is characterized in that: the charging pile dynamic allocation strategy is specifically as follows:
s1, calculating the median of the operation amount of the shore bridges, wherein 1 shore bridge is provided with 6 unmanned collection cards, and the number of the shore bridges is 12, namely 72 unmanned collection cards are required to be arranged for container loading and unloading operation;
s2, calculating the maximum operation amount of the shore bridges, wherein the number of the shore bridges is still 12, and 95 unmanned collection cards are required to be configured for operation;
s3, distributing charging piles in a harbor district between an A field and a C field, distributing 7 charging piles in the A field, distributing 4 groups of charging piles A1, A2, A3 and A4 in total, wherein each group of charging piles A1, A2 and A3 comprises 2 charging piles, the number of the charging piles A4 is 1, the interval between the charging piles in the group is 28 meters, and the interval between the charging piles in the group is 58 meters; the C field is provided with 6 charging piles in total, 4 groups of C1, C2, C3 and C4 are distributed in total, 1 charging pile is arranged in each group of C1 and C2, two charging piles are arranged in each group of C3 and C4 at intervals of 28 meters, and each group of charging piles is arranged at intervals of 58 meters;
s4, calculating Q based on the median of the quay crane workload 1 Calibrating the number of the charging pilesThe core obtains the charging requirement that 11 charging piles are required to be configured to ensure an unmanned collecting card, and a fleet management system dispatches a site A to have the charging piles and C site 4 charging piles for charging, wherein the C site sequentially selects the charging piles in C1, C2, C3 and C4 groups so as to ensure sufficient vehicle intervals;
s5, calculating Q based on maximum working capacity of shore bridge 1 Checking the number of the charging piles to obtain the charging requirement that 13 charging piles are required to be configured to ensure the unmanned integrated circuit card, and a fleet management system schedules a field A and a field C to be charged by the charging piles, and distributes specific charging potential for the unmanned integrated circuit card according to a charging potential in-out principle.
5. The intelligent charging pile dynamic allocation method considering unmanned set card side azimuth charging according to claim 4, wherein the intelligent charging pile dynamic allocation method is characterized in that: the charging pile management strategy is specifically as follows:
s1, an unmanned integrated card transmits charging related information to a charging pile during charging, and a charging pile management module transmits the unmanned integrated card and charging pile information in charging to a system in real time;
s2, the system calculates the required quantity of the online charging piles by analyzing the past electric quantity and the vehicle use quantity, and uses the remaining charging piles for non-operation charging.
6. The intelligent charging pile dynamic allocation method considering unmanned set card side azimuth charging according to claim 5, wherein the intelligent charging pile dynamic allocation method is characterized in that: the charging position entering and exiting principle is specifically as follows:
s3, distributing automatic charging piles on an A field and a C field, wherein the A field is 309 m long, the C field is 278 m long, the length of a single unmanned truck is 18 m, and a charging vehicle can directly enter a charging position only when being actually required to be charged at intervals of 40 m;
s4, because the length of the storage yard is insufficient to uniformly disperse the number of the charging piles required by the distribution system, the condition that two charging piles are spaced by 28 meters occurs, and the system is required to simultaneously schedule two adjacent charging piles to meet the vehicle entering and exiting requirements when the vehicle goes on and off line.
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