CN114368315A - Battery transfer path algorithm of unmanned power station - Google Patents
Battery transfer path algorithm of unmanned power station Download PDFInfo
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- CN114368315A CN114368315A CN202111588717.9A CN202111588717A CN114368315A CN 114368315 A CN114368315 A CN 114368315A CN 202111588717 A CN202111588717 A CN 202111588717A CN 114368315 A CN114368315 A CN 114368315A
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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
- B60L53/80—Exchanging energy storage elements, e.g. removable batteries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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- 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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Abstract
The invention discloses a battery transfer path algorithm of an unmanned battery replacement station, and relates to the technical field of battery transfer of battery replacement stations. The method comprises the steps that a power conversion transfer platform sends a state acquisition instruction to an intelligent detection terminal of each power conversion cabinet; the intelligent detection terminal detects battery state information of a plurality of batteries in the corresponding power change cabinet through the state monitoring unit; the intelligent detection terminal statistically analyzes the state information of the plurality of batteries through the statistical analysis unit to generate battery state information of the battery replacement cabinet and transmits the battery state information to the battery replacement transfer platform; the power conversion transfer platform compares the battery state information of the power conversion cabinet with a historical customer demand table to generate transfer path information; and the battery swapping transfer platform sends transfer path information to a mobile transfer terminal corresponding to a transfer worker. The invention realizes the maintenance of the sufficiency of the batteries in the full-power state of each power conversion cabinet through the transportation of the batteries in the full-power state in different power conversion cabinets; the transfer cost is reduced and the transfer efficiency is improved while the requirement of the client is met.
Description
Technical Field
The invention belongs to the technical field of battery transfer of a power change station, and particularly relates to a battery transfer path algorithm of an unmanned power change station.
Background
The battery replacement station is used as a station for replacing the battery of the electric automobile, so that convenience and rapidness in battery replacement can be guaranteed; whether the battery in a full-power state in the battery replacement station can meet the customer requirements is crucial.
In fact, the area where the electricity changing cabinet is located has less demand for the full-power battery, and the area where some electricity changing cabinets are located has higher demand for the full-power battery. The battery demand for the full-electricity state in the power exchange cabinet in different time periods in the same region is different. In order to meet the demand of customers, the full-charge batteries in different power change cabinets need to be allocated and transported. In the same time period, in order to realize efficient transfer, an efficient transfer path needs to be planned for the battery replacement cabinet transfer batteries which lack and fully charge batteries.
Disclosure of Invention
The invention aims to provide a battery transfer path algorithm of an unmanned power change station, wherein transfer path information is generated by comparing battery state information of a power change cabinet with a historical customer demand table through a power change transfer platform; the full-power-state batteries in the different power conversion cabinets are transferred, so that the full-power-state batteries in the power conversion cabinets are kept sufficient, and the problems that the batteries in the power conversion stations are inconvenient to transfer and low in transfer efficiency are solved.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a battery transfer path algorithm of an unmanned battery replacement station, which comprises the following steps:
the method comprises the following steps: the power conversion transfer platform sends a state acquisition instruction to the intelligent detection terminals of the power conversion cabinets;
step two: the intelligent detection terminal detects battery state information of a plurality of batteries in the corresponding power change cabinet through the state monitoring unit;
step three: the intelligent detection terminal statistically analyzes the state information of the plurality of batteries through the statistical analysis unit to generate battery state information of the battery replacement cabinet and transmits the battery state information to the battery replacement transfer platform;
step four: the power conversion transfer platform compares the battery state information of the power conversion cabinet with a historical customer demand table to generate transfer path information;
step five: and the battery swapping transfer platform sends transfer path information to a mobile transfer terminal corresponding to a transfer worker.
As a preferred technical solution, the battery state information includes a full-charge state of the battery and a state of charge of the battery.
As a preferred technical solution, the battery state information of the battery replacement cabinet includes a full-charge number of batteries, a to-be-charged number of batteries, and a to-be-charged schedule; the charging schedule comprises a plurality of to-be-charged battery identifications, current electric quantity corresponding to the to-be-charged battery identifications and estimated charging time.
As a preferred technical solution, the third step includes the following steps:
a00: the counting and analyzing unit counts the number in the full-charge state of the battery as the full-charge number of the battery;
a01: the statistical analysis unit counts the number to be charged as the number to be charged of the battery;
a02: the state monitoring unit monitors the current electric quantity of the battery to be charged and transmits the current electric quantity to the statistical analysis unit;
a03: the statistical analysis unit analyzes and obtains the estimated charging time of the battery to be charged according to the current electric quantity of the battery to be charged and the charging speed of the battery replacing cabinet;
a04: the statistical analysis unit stores a plurality of to-be-charged battery identifications and corresponding current electric quantity and estimated charging time thereof into a to-be-charged schedule;
a05: and the statistical analysis unit is used for sequencing a plurality of batteries to be charged in the same power exchange cabinet according to the current electric quantity to form a sequence to be charged.
As a preferred technical scheme, the historical customer demand table stores historical average demand of different power change cabinets in different time periods; the historical average demand is updated every 1 day interval.
As a preferred technical solution, the step four includes the following processes:
b00: judging whether the full-electricity quantity of the battery of the current power exchange cabinet in the current time period is greater than or equal to the historical average demand; if yes, execute B01; if not, execute B02;
b01: calculating the full-electricity surplus capacity of the current electricity changing cabinet in the current time period, wherein the corresponding electricity changing cabinet is a full-electricity surplus electricity changing cabinet;
b02: judging whether the sum of the quasi-full-electricity quantity of the current power exchange cabinet and the full-electricity quantity of the battery in the current time period is greater than or equal to the historical average demand; if so, keeping the current power exchange cabinet without adding a battery in a full power state; if not, execute B03;
b03: analyzing and calculating the shortage of the full-charge battery of the current power change cabinet in the current time period, wherein the corresponding power change cabinet is a full-charge shortage power change cabinet;
b04: and analyzing and obtaining the transfer path and the transfer quantity from the plurality of full-electricity surplus power exchange cabinets to the full-electricity shortage power exchange cabinets in the current time period.
As a preferred technical scheme, the quasi-full-electricity quantity is the quantity of batteries in a quasi-full-electricity state in the same power exchange cabinet; the quasi-full-power state is a battery to be charged which meets the condition that the estimated charging time is less than or equal to the transfer time threshold T in the same charging sequence of the power exchange cabinet; the transit time threshold T is the maximum transit time within the same transit zone.
As a preferred technical solution, B03 includes the following processes: the full-charge battery shortage of the current power change cabinet in the current time period is obtained by subtracting the quasi full-charge quantity and the battery full-charge quantity from the corresponding historical average demand.
As an optimal technical scheme, in the first step, when the current time period starts, the power change transfer platform sends a state acquisition instruction to the intelligent detection terminals of the power change cabinets to acquire battery state information.
The invention has the following beneficial effects:
1. when the current time period begins, the intelligent detection terminal detects the battery state information of a plurality of batteries in the corresponding power exchange cabinet through the state monitoring unit; the statistical analysis unit is used for performing statistical analysis on the state information of the plurality of batteries to generate battery state information of the battery replacement cabinet and transmitting the battery state information to the battery replacement transfer platform; the power conversion transfer platform compares the battery state information of the power conversion cabinet with a historical customer demand table to generate transfer path information; the full-power-state batteries in the different power conversion cabinets are transferred to keep the full-power-state batteries in the power conversion cabinets sufficient.
2. When the sum of the quasi-full-electricity quantity and the battery full-electricity quantity of the current power exchange cabinet in the current time period is smaller than the historical average demand, analyzing and calculating the full-electricity battery shortage of the current power exchange cabinet in the current time period; further analyzing and obtaining transfer paths and transfer quantity from the plurality of full-electricity surplus power exchange cabinets to the full-electricity deficient power exchange cabinets in the current time period; the transfer cost is reduced and the transfer efficiency is improved while the requirement of the client is met.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a battery transfer path algorithm of the unmanned battery replacement station of the present invention;
FIG. 2 is a flow chart of a specific process of step three of the present invention;
FIG. 3 is a flow chart of a specific process of step four of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
referring to fig. 1, the present invention is a battery transfer path algorithm for an unmanned battery replacement station, including the following steps:
the method comprises the following steps: the power conversion transfer platform sends a state acquisition instruction to the intelligent detection terminals of the power conversion cabinets; actually, when the current time period starts, the power change transfer platform sends a state acquisition instruction to the intelligent detection terminals of the power change cabinets to acquire battery state information;
step two: the intelligent detection terminal detects battery state information of a plurality of batteries in the corresponding power change cabinet through the state monitoring unit; specifically, the battery state information includes a full-charge state of the battery and a state of waiting for charging of the battery;
step three: the intelligent detection terminal statistically analyzes the state information of the plurality of batteries through the statistical analysis unit to generate battery state information of the battery replacement cabinet and transmits the battery state information to the battery replacement transfer platform; in fact, the battery state information of the battery replacement cabinet comprises the full-charge number of the battery, the to-be-charged number of the battery and a to-be-charged schedule; the charging schedule comprises a plurality of to-be-charged battery identifications, current electric quantity corresponding to the to-be-charged battery identifications and estimated charging time;
step four: the power conversion transfer platform compares the battery state information of the power conversion cabinet with a historical customer demand table to generate transfer path information; specifically, the historical customer demand table stores historical average demand of different power conversion cabinets in different time periods; updating the historical average demand every 1 day;
step five: and the battery swapping transfer platform sends transfer path information to a mobile transfer terminal corresponding to a transfer worker.
When the intelligent detection system is actually used, when the current time period starts, the intelligent detection terminal detects the battery state information of a plurality of batteries in the corresponding power exchange cabinet through the state monitoring unit; the statistical analysis unit is used for performing statistical analysis on the state information of the plurality of batteries to generate battery state information of the battery replacement cabinet and transmitting the battery state information to the battery replacement transfer platform; the power conversion transfer platform compares the battery state information of the power conversion cabinet with a historical customer demand table to generate transfer path information; the full-power-state batteries in the different power conversion cabinets are transferred to keep the full-power-state batteries in the power conversion cabinets sufficient.
Example two:
referring to fig. 2, step three includes the following steps:
a00: the counting and analyzing unit counts the number in the full-charge state of the battery as the full-charge number of the battery;
a01: the statistical analysis unit counts the number to be charged as the number to be charged of the battery;
a02: the state monitoring unit monitors the current electric quantity of the battery to be charged and transmits the current electric quantity to the statistical analysis unit;
a03: the statistical analysis unit analyzes and obtains the estimated charging time of the battery to be charged according to the current electric quantity of the battery to be charged and the charging speed of the battery replacing cabinet;
a04: the statistical analysis unit stores a plurality of to-be-charged battery identifications and corresponding current electric quantity and estimated charging time thereof into a to-be-charged schedule;
a05: and the statistical analysis unit is used for sequencing a plurality of batteries to be charged in the same power exchange cabinet according to the current electric quantity to form a sequence to be charged.
When the power supply is actually used, counting the number of fully charged batteries and the number of batteries to be charged in the same power exchange cabinet in the current time period; meanwhile, a plurality of batteries to be charged in the same power exchange cabinet are sequenced according to the current electric quantity to form a sequence to be charged; in order to analyze the battery transfer deployment path.
Example three:
referring to fig. 3, the fourth step includes the following steps:
b00: judging whether the full-electricity quantity of the battery of the current power exchange cabinet in the current time period is greater than or equal to the historical average demand; if yes, execute B01; if not, execute B02;
b01: calculating the full-electricity surplus capacity of the current electricity changing cabinet in the current time period, wherein the corresponding electricity changing cabinet is a full-electricity surplus electricity changing cabinet;
b02: judging whether the sum of the quasi-full-electricity quantity of the current power exchange cabinet and the full-electricity quantity of the battery in the current time period is greater than or equal to the historical average demand; if so, keeping the current power exchange cabinet without adding a battery in a full power state; if not, execute B03; specifically, the quasi-full-electricity quantity is the quantity of batteries in a quasi-full-electricity state in the same power exchange cabinet; the quasi-full-power state is a battery to be charged which meets the condition that the estimated charging time is less than or equal to the transit time threshold T in the same sequence to be charged of the power exchange cabinet; the transfer time threshold T is the maximum transfer time in the same transfer area;
b03: analyzing and calculating the shortage of the full-charge battery of the current power change cabinet in the current time period, wherein the corresponding power change cabinet is a full-charge shortage power change cabinet; the method specifically comprises the following steps: the full-charge battery shortage of the current power change cabinet in the current time period is obtained by subtracting the quasi full-charge quantity and the battery full-charge quantity from the corresponding historical average demand quantity;
b04: and analyzing and obtaining the transfer path and the transfer quantity from the plurality of full-electricity surplus power exchange cabinets to the full-electricity shortage power exchange cabinets in the current time period.
When the power supply is actually used, when the sum of the quasi-full-electricity quantity and the battery full-electricity quantity of the current power exchange cabinet in the current time period is smaller than the historical average demand, analyzing and calculating the full-electricity battery shortage of the current power exchange cabinet in the current time period; further analyzing and obtaining transfer paths and transfer quantity from the plurality of full-electricity surplus power exchange cabinets to the full-electricity deficient power exchange cabinets in the current time period; the transfer cost is reduced and the transfer efficiency is improved while the requirement of the client is met.
It should be noted that, in the above system embodiment, each included unit is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
In addition, it is understood by those skilled in the art that all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing associated hardware, and the corresponding program may be stored in a computer-readable storage medium.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. The battery transfer path algorithm of the unmanned battery replacement station is characterized by comprising the following steps:
the method comprises the following steps: the power conversion transfer platform sends a state acquisition instruction to the intelligent detection terminals of the power conversion cabinets;
step two: the intelligent detection terminal detects battery state information of a plurality of batteries in the corresponding power change cabinet through the state monitoring unit;
step three: the intelligent detection terminal statistically analyzes the state information of the plurality of batteries through the statistical analysis unit to generate battery state information of the battery replacement cabinet and transmits the battery state information to the battery replacement transfer platform;
step four: the power conversion transfer platform compares the battery state information of the power conversion cabinet with a historical customer demand table to generate transfer path information;
step five: and the battery swapping transfer platform sends transfer path information to a mobile transfer terminal corresponding to a transfer worker.
2. The battery transfer path algorithm of the unmanned battery replacement station as claimed in claim 1, wherein the battery state information comprises a full battery state and a pending battery state.
3. The battery transfer path algorithm of the unmanned battery replacement station according to claim 2, wherein the battery state information of the battery replacement cabinet comprises a full battery amount, a to-be-charged battery amount and a to-be-charged schedule; the charging schedule comprises a plurality of to-be-charged battery identifications, current electric quantity corresponding to the to-be-charged battery identifications and estimated charging time.
4. The battery transfer path algorithm of the unmanned battery replacement station according to claim 3, wherein the third step comprises the following steps:
a00: the counting and analyzing unit counts the number in the full-charge state of the battery as the full-charge number of the battery;
a01: the statistical analysis unit counts the number to be charged as the number to be charged of the battery;
a02: the state monitoring unit monitors the current electric quantity of the battery to be charged and transmits the current electric quantity to the statistical analysis unit;
a03: the statistical analysis unit analyzes and obtains the estimated charging time of the battery to be charged according to the current electric quantity of the battery to be charged and the charging speed of the battery replacing cabinet;
a04: the statistical analysis unit stores a plurality of to-be-charged battery identifications and corresponding current electric quantity and estimated charging time thereof into a to-be-charged schedule;
a05: and the statistical analysis unit is used for sequencing a plurality of batteries to be charged in the same power exchange cabinet according to the current electric quantity to form a sequence to be charged.
5. The battery transfer path algorithm of the unmanned battery replacement station according to claim 4, wherein historical average demand amounts of different battery replacement cabinets in different time periods are stored in the historical customer demand table; the historical average demand is updated every 1 day interval.
6. The battery transfer path algorithm of the unmanned battery replacement station according to claim 5, wherein the fourth step comprises the following steps:
b00: judging whether the full-electricity quantity of the battery of the current power exchange cabinet in the current time period is greater than or equal to the historical average demand; if yes, execute B01; if not, execute B02;
b01: calculating the full-electricity surplus capacity of the current electricity changing cabinet in the current time period, wherein the corresponding electricity changing cabinet is a full-electricity surplus electricity changing cabinet;
b02: judging whether the sum of the quasi-full-electricity quantity of the current power exchange cabinet and the full-electricity quantity of the battery in the current time period is greater than or equal to the historical average demand; if so, keeping the current power exchange cabinet without adding a battery in a full power state; if not, execute B03;
b03: analyzing and calculating the shortage of the full-charge battery of the current power change cabinet in the current time period, wherein the corresponding power change cabinet is a full-charge shortage power change cabinet;
b04: and analyzing and obtaining the transfer path and the transfer quantity from the plurality of full-electricity surplus power exchange cabinets to the full-electricity shortage power exchange cabinets in the current time period.
7. The battery transfer path algorithm of the unmanned battery replacement station according to claim 6, wherein the quasi-full-electricity number is a quasi-full-electricity battery number in the same battery replacement cabinet; the quasi-full-power state is a battery to be charged which meets the condition that the estimated charging time is less than or equal to the transfer time threshold T in the same charging sequence of the power exchange cabinet; the transit time threshold T is the maximum transit time within the same transit zone.
8. The battery transfer path algorithm of the unmanned battery replacement station according to claim 6 or 7, wherein B03 comprises the following processes: the full-charge battery shortage of the current power change cabinet in the current time period is obtained by subtracting the quasi full-charge quantity and the battery full-charge quantity from the corresponding historical average demand.
9. The battery transfer path algorithm of the unmanned battery replacement station according to claim 8, wherein in the first step, when the current time period starts, the battery replacement transfer platform sends a state acquisition instruction to the intelligent detection terminals of the battery replacement cabinets to acquire the battery state information.
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| CN202111588717.9A CN114368315A (en) | 2021-12-23 | 2021-12-23 | Battery transfer path algorithm of unmanned power station |
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