CN114971113A - Configuration method, system, equipment and medium for battery number of battery replacement station - Google Patents

Configuration method, system, equipment and medium for battery number of battery replacement station Download PDF

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CN114971113A
CN114971113A CN202110220610.2A CN202110220610A CN114971113A CN 114971113 A CN114971113 A CN 114971113A CN 202110220610 A CN202110220610 A CN 202110220610A CN 114971113 A CN114971113 A CN 114971113A
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vehicle
batteries
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王昊杰
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Aulton New Energy Automotive Technology Co Ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
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    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors

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Abstract

The invention discloses a method, a system, equipment and a medium for configuring the number of batteries of a battery swapping station, wherein the method for configuring the number of the batteries of the battery swapping station comprises the following steps: acquiring the battery bin quantity of a target battery replacement station and battery replacement information of an automobile battery; respectively simulating battery replacement operation based on battery replacement information when the number of the batteries of the vehicle batteries is taken as a value under the condition that the number of the battery bins is not more than the number of the battery bins, so as to obtain the optimized number of the batteries of which the charge states reach a preset threshold value when the vehicle batteries are loaded to the electric vehicle; and determining the battery configuration number of the vehicle battery according to the battery optimization number.

Description

Configuration method, system, equipment and medium for battery number of battery replacement station
Technical Field
The invention belongs to the technical field of battery number configuration of a battery replacing station, and particularly relates to a battery number configuration method, a battery number configuration system, battery number configuration equipment and a battery number configuration medium for the battery replacing station.
Background
The power exchanging station is a place for rapidly and efficiently supplementing electric energy to the new energy vehicle, the requirements of the new energy vehicle on equipment such as a charging station/pile can be saved, and the equipment utilization rate can be improved. If the number of the battery packs of the battery replacement station is set too much, idling and waste can be caused; the arrangement is too few, and the battery replacement efficiency of the battery replacement station can be reduced. The problem of reasonably setting the number of batteries of the battery replacement station is one.
Disclosure of Invention
The invention provides a configuration method, a system, equipment and a medium for the battery number of a power change station, aiming at overcoming the defect that the battery number of the power change station is difficult to reasonably set in the prior art.
The invention solves the technical problems through the following technical scheme:
the invention provides a configuration method of the number of batteries in a battery changing station, which comprises the following steps:
acquiring the battery bin quantity of a target battery replacement station and battery replacement information of an automobile battery;
respectively simulating battery replacement operation based on battery replacement information when the number of the batteries of the vehicle batteries is taken as a value under the condition that the number of the battery bins is not more than the number of the battery bins, so as to obtain the optimized number of the batteries of which the charge states reach a preset threshold value when the vehicle batteries are loaded to the electric vehicle;
and determining the battery configuration number of the vehicle battery according to the battery optimization number.
In the scheme, the battery replacement operation is simulated based on historical battery replacement information, specifically, the battery replacement operation of the battery replacement station under the battery quantity configuration is simulated under the constraint of the battery bin position quantity of the battery replacement station respectively under different battery quantities, so that the battery optimized quantity that the battery charge state reaches the preset threshold value when the vehicle battery is loaded to the electric vehicle under various battery quantity configurations is obtained, namely the battery optimized quantity under the scene that the battery replacement service level can meet the battery replacement requirement, then the battery quantity of the battery replacement station can be reasonably configured according to the battery optimized quantity, and the utilization rate of the vehicle battery is effectively improved.
Preferably, the obtaining of the battery bin number of the target battery replacement station and the battery replacement information of the vehicle battery includes:
acquiring the number of battery bins of a target battery replacement station and battery replacement information of various types of vehicle batteries;
respectively executing the step of simulating battery replacement operation based on the battery replacement information when the value of the number of the batteries of the vehicle batteries is not more than the number of the battery storage spaces for each type of vehicle batteries so as to obtain the optimized number of the batteries of which the battery charge states reach a preset threshold value when the vehicle batteries are loaded to the electric vehicle;
determining the battery configuration number of the vehicle battery according to the battery optimization number, comprising the following steps:
and determining the battery configuration number of the vehicle batteries of various types according to the battery bin number and the battery optimization number of the vehicle batteries of various types.
In the scheme, the battery bin quantity of the target battery replacement station and the battery replacement information of the vehicle batteries of various models are obtained, and the battery configuration quantity of the vehicle batteries of various models is determined according to the battery bin quantity and the battery optimization quantity of the vehicle batteries of various models, so that the battery quantity can be reasonably configured for various vehicle models under the limiting condition of the battery bin quantity of the battery replacement station in the scene of multiple vehicle models.
Preferably, the optimized number of cells comprises a critical number of cells; determining the battery configuration number of the vehicle batteries of various types according to the battery bin number and the battery optimization number of the vehicle batteries of various types, wherein the battery configuration number comprises the following steps:
generating all selectable battery number combinations of the vehicle batteries of various types in the target power conversion station, wherein the battery number of each vehicle battery of various types in the selectable battery number combinations is not less than the critical battery number of the vehicle battery, and the sum of the battery numbers of the vehicle batteries of various types in the selectable battery number combinations is not more than the battery bin number;
for each optional battery number combination, acquiring the ratio of the number of times of battery replacement when the state of charge of various types of vehicle batteries reaches a preset threshold value to the total number of times of battery replacement of the types of vehicle batteries in the optional battery number combinations;
and selecting a target battery number combination according to the ratio, and taking the battery number of each type of vehicle battery in the target battery number combination as the battery configuration number of the corresponding type.
In the scheme, for each optional battery quantity combination, the ratio of the number of times of battery replacement when the state of charge of the vehicle batteries of various types reaches the preset threshold value to the total number of times of battery replacement of the vehicle batteries of the types in the optional battery quantity combination is obtained, and the target battery quantity combination is selected according to the ratio, so that the vehicle batteries arranged according to the battery configuration quantity can provide sufficient battery replacement service in a reasonable quantity, and the utilization rate of the vehicle batteries is improved.
Preferably, when the number of the batteries of the vehicle battery is evaluated under the condition that the number of the battery storage spaces is not more than the number of the battery storage spaces, a battery replacement operation is simulated based on the battery replacement information so as to obtain an optimized number of the batteries, of which the state of charge of the batteries reaches a preset threshold value when the vehicle battery is loaded to the electric vehicle, the method includes the following steps:
respectively simulating the battery replacement operation corresponding to the battery replacement information when the number of the batteries of the vehicle is not greater than the number of the battery bins;
when the ratio of the number of times of battery replacement when the state of charge of the battery reaches a preset threshold value to the total number of times of battery replacement reaches a first threshold value when the vehicle battery is loaded to the electric vehicle, the number of the batteries currently valued by the vehicle battery is acquired as the critical number of the batteries of the vehicle battery.
In the scheme, the battery replacement service level of the battery replacement station is quantified by the ratio of the number of times of battery replacement when the battery charge state of the vehicle battery reaches the preset threshold value to the total number of times of battery replacement when the vehicle battery is in a charging state, and then the number configuration of the vehicle batteries is obtained, so that the battery replacement service level of the battery replacement station meets the required critical number of the batteries.
Preferably, the optimized number of batteries further includes a battery saturation number; the configuration method for the number of the batteries in the battery replacement station further comprises the following steps:
when the ratio of the number of battery replacement times when the charge state of the vehicle battery reaches a preset threshold value to the total number of battery replacement times reaches a second threshold value when the vehicle battery is loaded to the electric vehicle, acquiring the current value-taking battery number of the vehicle battery as the battery saturation number of the vehicle battery; the battery number of each type of vehicle battery in the optional battery number combination is not more than the battery saturation number of the vehicle battery.
In the scheme, after the battery replacement service level of the battery replacement station and the critical number of batteries of which the battery replacement service level meets the requirement are quantized, the saturated number of batteries of which the battery replacement service level reaches the upper limit is continuously obtained, specifically, when the proportion of the battery replacement times of which the battery charge state reaches the preset threshold value to the total battery replacement times reaches the second threshold value when the vehicle batteries are loaded to the electric vehicle, the current value-taking number of the vehicle batteries is obtained as the saturated number of the batteries of the vehicle batteries, and the number of the batteries of the battery replacement station is reasonably configured according to the critical number of the batteries and the saturated number of the batteries, so that the battery replacement service level of the battery replacement station can meet the battery replacement requirement of a user, and resource waste caused by excessive battery configuration after the battery replacement service level of the battery replacement station reaches the upper limit can be avoided.
Preferably, the battery replacement information of the vehicle battery is a battery replacement record of the target battery replacement station, and the battery replacement record comprises order creation time, battery replacement SOC and battery replacement SOC; selecting the vehicle battery with the maximum electric quantity for current battery replacement according to the charging time length of the battery and the charging electric quantity per unit time length in the battery replacement operation; the battery charging time is related to the current time, the order creation time and the battery replacement time, and the battery replacement time is related to the order creation time, the battery replacement time and the battery replacement time; the amount of charge rushing in per unit time is related to the battery up SOC and the battery down SOC.
In the scheme, the vehicle battery with the largest electric quantity is selected for current battery replacement according to the charging time length and the unit time length of the battery in the battery replacement operation, so that the utilization rate of the charged electric quantity can be improved, and waste is reduced; by reasonably acquiring the battery replacement record, the charging time length, the battery replacement time length and the charging amount per unit time length of the battery are further obtained, so that the accuracy of acquiring the battery configuration number can be improved by simulating the battery replacement operation based on the data.
Preferably, when the battery replacement operation is simulated, when the value of the number of the batteries of the vehicle battery reaches the number of the available bin bits, the vehicle battery with the largest electric quantity is selected for current battery replacement according to the number of the available bin bits, the charging time of the battery and the charging electric quantity per unit time; the number of available bins is related to the number of battery bins and the bin failure probability.
In the scheme, the possibility of battery bin faults is considered, the battery configuration number is obtained according to the actually available bin number, and the accuracy of obtaining the battery configuration number can be improved.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the configuration method of the battery replacing station battery number.
The invention also provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the method for configuring the number of battery cells of a battery swapping station of the invention.
The invention also provides a configuration system of the battery number of the battery changing station, which comprises a first acquisition unit, a second acquisition unit and a third acquisition unit;
the first acquisition unit is used for acquiring the battery bin quantity of the target battery replacement station and battery replacement information of the vehicle battery;
the second acquisition unit is used for simulating battery replacement operation based on the battery replacement information when the battery number of the vehicle battery is not greater than the battery bin number, so as to obtain the battery optimized number when the battery charge state of the vehicle battery reaches a preset threshold value when the vehicle battery is loaded to the electric vehicle;
the third obtaining unit is used for determining the battery configuration number of the vehicle battery according to the battery optimization number.
In the scheme, the battery replacement operation is simulated based on historical battery replacement information, specifically, the battery replacement operation of the battery replacement station under the battery quantity configuration is simulated under the constraint of the battery bin position quantity of the battery replacement station under different battery quantities respectively, so that the battery optimized quantity of the vehicle batteries under various battery quantity configurations when the battery charge state reaches the preset threshold value when the vehicle batteries are loaded to the electric vehicle is obtained, namely the battery optimized quantity under the scene that the battery replacement service level can meet the battery replacement requirement, then the battery quantity of the battery replacement station can be reasonably configured according to the battery optimized quantity, and the utilization rate of the vehicle batteries is effectively improved.
Preferably, the first obtaining unit is configured to obtain the number of battery bins of the target battery replacement station and battery replacement information of the vehicle batteries of various types;
the second acquisition unit is used for respectively executing value taking on each type of vehicle battery under the condition that the number of the vehicle batteries does not exceed the number of the battery storage spaces, and simulating battery replacement operation based on battery replacement information so as to obtain the optimized number of the batteries, of which the battery charge states reach the preset threshold value, when the vehicle batteries are loaded to the electric vehicle;
the third obtaining unit is used for determining the battery configuration quantity of the vehicle batteries of various types according to the battery bin quantity and the battery optimization quantity of the vehicle batteries of various types.
In the scheme, the battery bin quantity of the target battery replacement station and the battery replacement information of the vehicle batteries of various models are obtained, and the battery configuration quantity of the vehicle batteries of various models is determined according to the battery bin quantity and the battery optimization quantity of the vehicle batteries of various models, so that the battery quantity can be reasonably configured for various vehicle models under the limiting condition of the battery bin quantity of the battery replacement station in the scene of multiple vehicle models.
Preferably, the optimized number of cells comprises a critical number of cells;
the third obtaining unit is used for generating all selectable battery number combinations of the vehicle batteries of various types in the target power conversion station, the battery number of each type of vehicle battery in the selectable battery number combinations is not less than the critical battery number of the vehicle battery, and the sum of the battery numbers of the vehicle batteries of various types in the selectable battery number combinations is not more than the battery bin number;
the third obtaining unit is used for obtaining the ratio of the number of times of battery replacement when the state of charge of the vehicle batteries of various types reaches a preset threshold value to the total number of times of battery replacement of the vehicle batteries of the types in each selectable battery number combination;
the third acquisition unit is used for selecting a target battery quantity combination according to the proportion, and taking the battery quantity of the vehicle battery of each model in the target battery quantity combination as the battery configuration quantity of the corresponding model.
In the scheme, for each optional battery quantity combination, the ratio of the number of times of battery replacement when the state of charge of the vehicle batteries of various types reaches the preset threshold value to the total number of times of battery replacement of the vehicle batteries of the types in the optional battery quantity combination is obtained, and the target battery quantity combination is selected according to the ratio, so that the vehicle batteries arranged according to the battery configuration quantity can provide sufficient battery replacement service in a reasonable quantity, and the utilization rate of the vehicle batteries is improved.
Preferably, the second obtaining unit is configured to respectively simulate a battery swapping operation corresponding to the battery swapping information when the number of the batteries of the vehicle battery is a value under a condition that the number of the battery bins is not exceeded;
when the vehicle battery is loaded to the electric vehicle, the ratio of the number of times of battery replacement when the battery charge state reaches the preset threshold to the total number of times of battery replacement reaches the first threshold, and the second obtaining unit is used for obtaining that the number of the battery currently taken by the vehicle battery is the critical number of the battery of the vehicle battery.
In the scheme, the battery replacement service level of the battery replacement station is quantified by the ratio of the number of times of battery replacement when the battery charge state of the vehicle battery reaches the preset threshold value to the total number of times of battery replacement when the vehicle battery is in a charging state, and then the number configuration of the vehicle batteries is obtained, so that the battery replacement service level of the battery replacement station meets the required critical number of the batteries.
Preferably, the optimized number of batteries further includes a battery saturation number; when the ratio of the number of times of battery replacement when the state of charge of the vehicle battery reaches a preset threshold to the total number of times of battery replacement reaches a second threshold when the vehicle battery is loaded in the electric vehicle, the second obtaining unit is used for obtaining the current value of the vehicle battery, wherein the current value of the vehicle battery is the battery saturation number of the vehicle battery; the battery number of each type of vehicle battery in the optional battery number combination is not more than the battery saturation number of the vehicle battery.
In the scheme, after the battery replacement service level of the battery replacement station and the critical number of batteries of which the battery replacement service level meets the requirement are quantized, the saturated number of batteries of which the battery replacement service level reaches the upper limit is continuously obtained, specifically, when the proportion of the battery replacement times of which the battery charge state reaches the preset threshold value to the total battery replacement times reaches the second threshold value when the vehicle batteries are loaded to the electric vehicle, the current value-taking number of the vehicle batteries is obtained as the saturated number of the batteries of the vehicle batteries, and the number of the batteries of the battery replacement station is reasonably configured according to the critical number of the batteries and the saturated number of the batteries, so that the battery replacement service level of the battery replacement station can meet the battery replacement requirement of a user, and resource waste caused by excessive battery configuration after the battery replacement service level of the battery replacement station reaches the upper limit can be avoided.
Preferably, the battery replacement information of the vehicle battery is a battery replacement record of the target battery replacement station, and the battery replacement record comprises order creation time, battery replacement SOC and battery replacement SOC; selecting the vehicle battery with the maximum electric quantity for current battery replacement according to the charging time and the charging electric quantity per unit time in the battery replacement operation; the battery charging time is related to the current time, the order creation time and the battery replacement time, and the battery replacement time is related to the order creation time, the battery replacement time and the battery replacement time; the amount of charge rushing in per unit time is related to the battery up SOC and the battery down SOC.
In the scheme, the vehicle battery with the largest electric quantity is selected for current battery replacement according to the charging time length and the unit time length of the battery in the battery replacement operation, so that the utilization rate of the charged electric quantity can be improved, and waste is reduced; by reasonably acquiring the battery swapping record, the charging time of the battery, the battery swapping time and the charging quantity per unit time are further obtained, so that the accuracy of acquiring the configuration quantity of the battery can be improved by simulating the battery swapping operation based on the data.
Preferably, when the battery replacement operation is simulated, when the value of the number of the batteries of the vehicle battery reaches the number of the available bin bits, the vehicle battery with the largest electric quantity is selected for current battery replacement according to the number of the available bin bits, the charging time of the battery and the charging electric quantity per unit time; the number of available bins is related to the number of battery bins and the bin failure probability.
In the scheme, the possibility of battery bin faults is considered, the battery configuration number is obtained according to the actually available bin number, and the accuracy of obtaining the battery configuration number can be improved.
The positive progress effects of the invention are as follows: the battery replacement operation of the battery replacement station under the battery quantity configuration is simulated on the basis of historical battery replacement information, specifically, the battery replacement operation of the battery replacement station under the battery quantity configuration is simulated under the constraint of the battery bin position quantity of the battery replacement station under different battery quantities, the battery optimization quantity that the battery charge state reaches the preset threshold value when the vehicle batteries under various battery quantity configurations are loaded to the electric vehicle is obtained, namely the battery optimization quantity under the scene that the battery replacement service level can meet the battery replacement requirement, then, the battery quantity of the battery replacement station can be reasonably configured according to the battery optimization quantity, and the utilization rate of the vehicle batteries is effectively improved.
Drawings
Fig. 1 is a flowchart of a configuration method for battery swapping station battery numbers according to embodiment 1 of the present invention.
Fig. 2 is a flowchart of step S2 of a method for configuring a battery swapping station battery count according to embodiment 1 of the present invention.
Fig. 3 is a schematic structural diagram of an electronic device according to embodiment 3 of the present invention.
Fig. 4 is a schematic structural diagram of a configuration system for changing the number of batteries in a power station according to embodiment 5 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
The embodiment provides a configuration method for the number of batteries in a battery replacement station. Referring to fig. 1, the configuration method of the number of the battery replacing stations includes the following steps:
and step S1, acquiring the battery bin quantity of the target battery replacement station and the battery replacement information of the vehicle battery.
And step S2, respectively, when the number of the batteries of the vehicle batteries is not greater than the number of the battery positions, simulating battery replacement operation based on the battery replacement information so as to obtain the optimized number of the batteries, wherein the state of charge of the batteries reaches a preset threshold when the vehicle batteries are loaded to the electric vehicle.
And step S3, determining the battery configuration number of the vehicle battery according to the battery optimization number.
The battery replacement information of the vehicle battery can be a battery replacement record of the historical battery replacement of the target battery replacement station, and can also be predicted battery replacement information of the vehicle battery. The predicted battery swapping information can be related to the physical environment where the target battery swapping station is located and battery swapping user information within a certain range.
The battery replacement operation of the battery replacement station under the battery quantity configuration is simulated based on historical battery replacement information, specifically, the battery replacement operation of the battery replacement station under the battery quantity configuration is simulated under the constraint of the battery bin position quantity of the battery replacement station, so that the battery optimization quantity of the vehicle batteries under various battery quantity configurations when the battery charge state reaches a preset threshold value when the vehicle batteries are loaded to an electric vehicle is obtained, namely the battery optimization quantity under the scene that the battery replacement service level can meet the battery replacement requirement, then the battery quantity of the battery replacement station can be reasonably configured according to the battery optimization quantity, and the utilization rate of the vehicle batteries is effectively improved.
In specific implementation, in step S1, the battery replacement information of the vehicle battery in the target battery replacement station within a preset period is obtained. When the battery replacement information of the vehicle battery is the battery replacement record of the target battery replacement station, the battery replacement record includes an order creation time, a battery replacement time (i.e., a time corresponding to the replacement of the replaced vehicle battery in the battery replacement operation), a battery replacement SOC (i.e., a remaining electric quantity of the replaced vehicle battery in the battery replacement operation), and a battery replacement SOC (i.e., a remaining electric quantity of the replaced vehicle battery in the battery replacement operation).
And obtaining the unit time length impulsion electric quantity Tu corresponding to each power change operation according to the information of the power change operation of the power change station in the preset period. The unit time length rush-in electric quantity Tu is (end SOC-start SOC)/charging time length, wherein the charging time length is the time length of charging the replaced battery in the battery replacement operation before the battery replacement operation, the end SOC is the remaining electric quantity of the replaced battery in the battery replacement (namely, the battery of the replaced battery is replaced by the SOC in the current battery replacement operation), and the start SOC is the remaining electric quantity of the replaced battery at the time of starting charging corresponding to the charging time length (namely, the battery replacement SOC of the replaced battery in the last time is replaced, which is the initial electric quantity of the replaced battery at the time of starting charging).
The charging time period can be obtained according to the charging record of the battery. If the ending SOC is smaller than the corresponding SOC value when the vehicle battery is fully charged, the charging time length is the actual charging time length of the vehicle battery; and if the ending SOC is equal to the SOC value corresponding to the full charging of the vehicle battery, the charging time length is the charging time length of the vehicle battery at the moment of reaching the full charging.
And then, according to the unit time length of each type of vehicle battery of the battery changing station, charging the electric quantity records for sequencing. Then, the average unit duration charge is obtained. In specific implementation, the average unit time length of the rushing-in electric quantity is obtained respectively aiming at each type of vehicle battery.
In an alternative embodiment, the duration of each battery of the type is added, and then divided by the total number of the batteries of the type to obtain the average duration of each battery of the signal.
In another optional implementation mode, the batteries of the type are screened according to the charging amount per unit time length, the top 10% of the sequencing rows of the charging amount per unit time length records in the batteries of the type are eliminated, and the middle 80% of the sequencing rows are reserved. Then, the average value of the amount of charge per unit time period is obtained for the remaining 80% as the average amount of charge per unit time period of the vehicle battery of that type. Since there may be noise data (abnormal data) in the acquired electric charge per unit time length of the battery of the type, and the maximum value and the minimum value of the noise data are likely to be the noise data, the accuracy of the acquired average electric charge per unit time length can be improved by sorting and eliminating the noise data.
And acquiring the power change duration corresponding to each power change operation. The battery replacement time length is (battery replacement time-last order creation time) + (battery replacement time-battery replacement time)/2. The manner of obtaining the battery replacement time length is an optional implementation manner. According to the guidance of the embodiment, a person skilled in the art may obtain the battery replacement time length in other manners.
Next, the battery optimum number for each model of the vehicle battery is acquired. The battery optimized number includes a battery critical number and a battery saturated number.
Taking model A vehicle batteries as an example, successively taking the quantity of the model A vehicle batteries as i (i belongs to [1, n ], and n is the battery bin quantity of the battery changing station) to simulate and complete the battery changing and charging operations of the model A batteries of the battery changing station in the preset period, and evaluating and obtaining the optimized quantity of the model A vehicle batteries of the battery changing station.
Referring to fig. 2, step S2 includes the steps of:
step S201, i is assigned 1.
Step S202, simulating and completing the battery replacement and charging operation of the model vehicle battery of the battery replacement station in the preset period by using the i pieces of the model vehicle battery.
Step S203, judging whether the ratio rati is larger than or equal to a first threshold value, if not, executing step S204; if yes, go to step S205.
Step S204, increasing i by 1, and then returning to step S202.
Step S205, i is used as the critical number of batteries.
Step S206, judging whether the ratio rati is larger than or equal to a second threshold value, if not, executing step S204; if not, go to step S207.
Step S207, i is used as the battery limit number.
In specific implementation, firstly, a simulation is performed with i equal to 1, that is, it is assumed that only 1 vehicle battery of type a is installed in the power station. And simulating each battery replacement operation of the vehicle batteries of the A type of the battery replacement station by using the vehicle batteries of the A type according to the time sequence, and recording the corresponding SOC value. Assuming that the one a-type vehicle battery provided in the battery swap station is bat1, for the first battery swap in the preset period, the SOC value of the bat1 during the battery swap to the electric vehicle is SOCon1, and SOCon1 is the initial SOC + charge amount. For the first battery replacement, the starting SOC is the average value of the starting SOC of the A-type vehicle battery in the city; the charging amount is (unit time length charging amount per unit time length (current time-previous order creation time-battery replacement time length), where the current time is the time when the battery bat1 is installed in the electric vehicle, the battery replacement order creation time is the time when the battery replacement order is created, and the battery replacement time length is (battery down time-previous order creation time) + (battery down time-battery up time)/2.
The replaced type a vehicle battery is called a substitute for bat1, and therefore, is continuously called bat 1. When the first battery replacement is finished, the starting SOC of bat1 is the remaining capacity of the replaced type a vehicle battery, which is obtained from the battery replacement record. Then, when the second battery replacement operation comes, the battery replacement operation is performed with the current bat1 as the battery replacement, and the SOC value SOCon2 of bat1 at the time of battery replacement starts SOC + charging amount. The charging amount is equal to (charging amount per unit time length × (current time-last order creation time-battery replacement time), and so on, and the SOC value socinj of bat1 during the battery replacement to the electric vehicle is obtained each time (j is equal to [1, m ], and m is the total number of times of battery replacement of the type a vehicle battery in the preset period).
After obtaining SOConj (j ∈ [1, m ]), the fraction of the number of times SOConj is greater than the preset value in the m trades is evaluated 1. The ratio rate 1 can represent the meeting level that m times of battery replacement in the preset period can be completed under the condition that only one A-type vehicle battery is arranged.
Next, simulation was performed with i ═ 2. That is, it is assumed that only 2 a-type vehicle batteries (bat 1 and bat2, respectively) are provided in the battery replacement station. According to the time sequence, simulating each battery replacement operation of the vehicle battery with the battery replacement station type A by using the bat1 and the bat2, and recording the corresponding SOC value. And selecting the vehicle battery with the maximum electric quantity for current battery replacement according to the charging time length of the battery and the charging electric quantity per unit time length in each battery replacement operation. For the first power change in the preset period, let bat1 be the vehicle battery with the largest current electric quantity, bat1 is changed to the electric vehicle, the SOC value of bat1 when the battery is changed to the electric vehicle is SOCon1, and SOCon1 is the initial SOC + charging quantity. Here, since this is the first battery replacement operation of bat1, the start SOC takes the average of the start SOCs of the a-type vehicle batteries in the city; the charging amount is equal to (charging amount per unit time length × (current time-previous order creation time-battery replacement time), where the current time is the time when the battery bat1 is installed in the electric vehicle, the battery replacement order creation time is the time when the battery replacement order is created, and the battery replacement time is equal to ((battery down time-order creation time) + (battery down time-battery up time))/2.
The replaced type a vehicle battery is called a substitute for bat1, and therefore, is continuously called bat 1. When the first battery replacement is finished, the starting SOC of bat1 is the remaining capacity of the replaced type a vehicle battery, which is obtained from the battery replacement record.
Then, when the second power conversion operation comes, the bat1 current electric quantity is obtained, and the bat1 current electric quantity starts the SOC + charging electric quantity. Wherein, the starting SOC is the residual capacity of the replaced A type vehicle battery; a charging amount (a unit time length charging amount (current time-previous order creation time-battery replacement time), wherein the current time is a time when the battery is mounted to the electric vehicle for the second battery replacement operation, the order creation time is a time when the order for the second battery replacement operation is created, the battery replacement time is (battery switch-off time-previous order creation time) + (battery switch-off time-battery switch-on time)/2, bat2 current electric amount is obtained, bat2 current electric amount is start SOC + charging amount, wherein the start SOC of bat2 is an average value of start SOCs of a model a vehicle batteries of the city (since battery replacement operation has not been performed before the bat2), and the charging amount (a unit time length charging amount (current time-previous order creation time-battery replacement time), wherein the current time is a time when the battery for the second battery replacement operation is mounted to the electric vehicle, the order creating time is the time of creating the order of the second battery replacement operation, and the battery replacement time length is (battery replacement time-last order creating time) + (battery replacement time-battery replacement time)/2.
The bat1 current electric quantity and the bat2 current electric quantity are compared, the higher one of the two (the vehicle battery with the largest electric quantity) is used as the on-change SOC value SOCon2 when the vehicle is changed to the electric vehicle, and the corresponding vehicle battery is assumed to be mounted on the electric vehicle (that is, the simulated charging of the vehicle battery is stopped).
And analogizing in turn, obtaining the bat1 current electric quantity corresponding to each time of battery replacement and the bat2 current electric quantity, and taking the larger one of the two (the vehicle battery with the largest electric quantity) as the change SOC value SOConj (j is epsilon [1, m ], and m is the total number of times of battery replacement of the type A vehicle battery in the preset period) when the vehicle is changed to the electric vehicle.
After obtaining SOConj (j ∈ [1, m ]), the fraction of the number of times SOConj is greater than the preset value in the m trades is evaluated 2. The ratio rat2 can represent the meeting level of m times of battery replacement in the preset period under the condition that only two A-type vehicle batteries are arranged.
And so on, increasing i in sequence to obtain rati. And when the obtained rati is larger than or equal to the first threshold value, taking the value corresponding to the i as the critical number of the batteries of the A-type vehicle batteries.
I continues to be increased to obtain rati. And when the obtained rati is larger than or equal to a second threshold value, taking the value corresponding to the i as the battery saturation number of the A-type vehicle battery. The second threshold is greater than the first threshold. In an alternative embodiment, the second threshold is 100% and the first threshold is 85%.
For the critical quantity and the saturated quantity of the batteries of the vehicle batteries of other models, the acquisition mode refers to the acquisition mode of the critical quantity and the saturated quantity of the batteries of the vehicle battery of model A.
Then, in step S3, the battery arrangement number of the vehicle batteries of the battery replacement station is acquired. First, several combination ways of the batteries are obtained based on the critical number of the batteries and the saturated number of the batteries for each model of the vehicle battery. Wherein each combination mode comprises at least two types of batteries, and the number of the batteries of each type is set as Nk (k is equal to [1, p ]]P is the number of the types of the batteries included in the combination mode), Nk is not less than the critical number of the batteries corresponding to the types of the batteries for vehicles, Nk is not less than the saturated number of the batteries corresponding to the types of the batteries for vehicles, and the total number of the batteries included in the combination mode is
Figure BDA0002954692200000131
N<And Ns, wherein Ns is the number of battery bins of the battery swapping station.
Next, for each combination mode, a first ratio r1 of each type of battery in the combination mode is obtained, where the first ratio r1 is No1/No2, No1 is the number of the change-on SOC values SOCon when the vehicle battery of the type is changed to the electric vehicle and is greater than the preset SOC value, and No2 is the total number of the battery change stations performing the battery change in the preset period.
Then, the ratio sum R, the ratio sum
Figure BDA0002954692200000141
I.e., the sum of the first ratios r1 corresponding to all models of vehicle batteries.
And finally, taking any one of three combination modes with the maximum values of the ratio and the R as a target battery number combination of the battery changing station, and taking the number of each vehicle battery in the target battery number combination as the battery configuration number of the vehicle battery of the type.
Example 2
The embodiment provides a configuration method for the number of batteries in a battery replacement station. The method for configuring the number of battery cells in the battery swapping station in this embodiment is substantially the same as the method for configuring the number of battery cells in the battery swapping station in embodiment 1. In this embodiment, when the battery configuration number of the vehicle battery of the battery swapping station is obtained, the available bin number of the battery swapping station is used as a constraint condition.
In specific implementation, firstly, a plurality of combination modes of the batteries are obtained based on the critical number and the saturated number of the batteries of each type of vehicle batteries. Wherein each combination mode comprises at least two types of batteries, and the number of the batteries of each type is set as Nk (k belongs to [1, p ]]P is the number of the types of the batteries included in the combination mode), Nk is not less than the critical number of the batteries corresponding to the types of the batteries for vehicles, Nk is not less than the saturated number of the batteries corresponding to the types of the batteries for vehicles, and the total number of the batteries included in the combination mode is
Figure BDA0002954692200000142
N<Np, where Np is the number of available bins of the power swapping station, Ns (1-p), Ns is the number of battery bins of the power swapping station, and p is the probability of bin failure of the power swapping station.
The charging machine in the position of a storage space of the power station usually has 2 charging modules, when a certain charging module is damaged, another charging module can still be charged, but if the charging amount and the charging time are uniformly distributed, when only one charging module works and charges the same amount of electric quantity, the charging time can be increased by 1 time.
When N < Np, there is no impact on the charging of the site batteries, since there are unused and normal bins (chargers) available. When N is equal to or greater than Np, charging of the station battery is effected.
If a station has 28 bins, and the failure probability is 5%, 28 × 5% — 1.4 corresponds to 1 bin and 1 charging module in one bin not working normally. In this case, Np takes a value of 26.5.
Next, for each combination mode, a first ratio r1 of each model of battery in the combination mode is obtained, where the first ratio r1 is No1/No2, No1 indicates the number of the on-change SOC values SOCon when the vehicle battery of the model is changed to the electric vehicle and is greater than the preset SOC value, and No2 indicates the total number of the battery replacement performed by the battery replacement station in the preset period.
Then, the user can use the device to perform the operation,obtaining a ratio sum R, a ratio sum
Figure BDA0002954692200000151
I.e., the sum of the first ratios r1 corresponding to all models of vehicle batteries.
And finally, taking any one of three combination modes with the maximum values of the ratio and the R as a target battery number combination of the battery changing station, and taking the number of each vehicle battery in the target battery number combination as the battery configuration number of the vehicle battery of the type.
The influence of the bin fault probability of the battery replacement station on the battery configuration quantity is introduced in the embodiment, the situation is closer to the actual operation condition of the battery replacement station, and the accuracy of the obtained battery configuration quantity of the vehicle battery with the type is higher. In consideration of the possibility of the battery bin position failure, the battery configuration number is obtained according to the actually available bin position, and the accuracy of obtaining the battery configuration number can be improved.
Example 3
Fig. 3 is a schematic structural diagram of an electronic device provided in this embodiment. The electronic equipment comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, and the processor executes the program to realize the configuration method of the battery replacing station number of the embodiment 1 or 2. The electronic device 30 shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
The electronic device 30 may be embodied in the form of a general purpose computing device, which may be, for example, a server device. The components of the electronic device 30 may include, but are not limited to: the at least one processor 31, the at least one memory 32, and a bus 33 connecting the various system components (including the memory 32 and the processor 31).
The bus 33 includes a data bus, an address bus, and a control bus.
The memory 32 may include volatile memory, such as Random Access Memory (RAM)321 and/or cache memory 322, and may further include Read Only Memory (ROM) 323.
Memory 32 may also include a program/utility 325 having a set (at least one) of program modules 324, such program modules 324 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The processor 31 executes various functional applications and data processing, such as the configuration method of the battery number of the battery station according to embodiment 1 or 2 of the present invention, by running the computer program stored in the memory 32.
The electronic device 30 may also communicate with one or more external devices 34 (e.g., keyboard, pointing device, etc.). Such communication may be through input/output (I/O) interfaces 35. Also, model-generating device 30 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via network adapter 36. As shown, network adapter 36 communicates with the other modules of model-generating device 30 via bus 33. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the model-generating device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
Example 4
The present embodiment provides a computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the steps of the configuration method of the battery swap station battery number of embodiment 1 or 2.
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation manner, the present invention can also be implemented in the form of a program product, which includes program code for causing a terminal device to execute the steps of the configuration method for implementing the power station battery swapping number of embodiment 1 or 2 when the program product runs on the terminal device.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may be executed entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
Example 5
The embodiment provides a configuration system for the number of batteries in a power station. Referring to fig. 4, the system for configuring the battery replacing station battery number includes a first obtaining unit 21, a second obtaining unit 22, and a third obtaining unit 23.
The first obtaining unit 21 obtains the battery bin quantity of the target battery replacement station and the battery replacement information of the vehicle battery; the second obtaining unit 22 simulates battery replacement operation based on the battery replacement information when the battery number of the vehicle battery is a value under the condition that the battery number does not exceed the battery bin number, so as to obtain the battery optimized number when the battery state of charge of the vehicle battery reaches a preset threshold when the vehicle battery is loaded to the electric vehicle; the third acquisition unit 23 determines the battery configuration number of the vehicle battery according to the battery optimization number.
The battery replacement information of the vehicle battery can be a battery replacement record of the historical battery replacement of the target battery replacement station, and can also be predicted battery replacement information of the vehicle battery. The predicted swapping information can be related to the physical environment where the target swapping station is located and swapping user information within a certain range.
In specific implementation, the first obtaining unit 21 obtains the battery replacement information of the vehicle battery in a preset period of the target battery replacement station. When the battery replacement information of the vehicle battery is the battery replacement record of the target battery replacement station, the battery replacement record includes order creation time, battery replacement time (i.e., time corresponding to the replaced vehicle battery in the current battery replacement operation when the battery is replaced), battery replacement SOC (i.e., remaining capacity of the replaced vehicle battery in the current battery replacement operation when the battery is replaced), and battery replacement SOC (i.e., remaining capacity of the replaced vehicle battery in the current battery replacement operation when the battery is replaced).
The first obtaining unit 21 obtains the unit duration impulsion electric quantity Tu corresponding to each power swapping operation according to the information of the power swapping operation of the power swapping station in the preset period. The unit time length rush-in electric quantity Tu is (end SOC-start SOC)/charging time length, wherein the charging time length is the time length of charging the replaced battery in the battery replacement operation before the battery replacement operation, the end SOC is the remaining electric quantity of the replaced battery in the battery replacement (namely, the battery of the replaced battery is replaced by the SOC in the current battery replacement operation), and the start SOC is the remaining electric quantity of the replaced battery at the time of starting charging corresponding to the charging time length (namely, the battery replacement SOC of the replaced battery in the last time is replaced, which is the initial electric quantity of the replaced battery at the time of starting charging).
The charging time period can be obtained according to the charging record of the battery. If the SOC is smaller than the corresponding SOC value when the vehicle battery is fully charged, the charging time is the actual charging time of the vehicle battery; and if the ending SOC is equal to the SOC value corresponding to the full charging of the vehicle battery, the charging time length is the charging time length of the vehicle battery at the moment of reaching the full charging.
Then, the first obtaining unit 21 sorts the vehicle batteries according to the unit time length of each type of vehicle battery in the power change station. Then, the first acquisition unit 21 acquires the average unit-time-length flush power amount. In specific implementation, the average unit time length of the rushing-in electric quantity is obtained respectively aiming at each type of vehicle battery.
In an alternative embodiment, the duration of each battery of the type is added, and then divided by the total number of the batteries of the type to obtain the average duration of each battery of the signal.
In another optional implementation mode, the batteries of the type are screened according to the charging amount per unit time length, the top 10% of the sequencing rows of the charging amount per unit time length records in the batteries of the type are eliminated, and the middle 80% of the sequencing rows are reserved. Then, the average value of the amount of charge per unit time period is obtained for the remaining 80% as the average amount of charge per unit time period of the vehicle battery of that type. Since there may be noise data (abnormal data) in the acquired electric charge per unit time length of the battery of the type, and the maximum value and the minimum value of the noise data are likely to be the noise data, the accuracy of the acquired average electric charge per unit time length can be improved by sorting and eliminating the noise data.
The first obtaining unit 21 obtains a power swapping time corresponding to each power swapping operation. The battery replacement time length is (battery replacement time-last order creation time) + (battery replacement time-battery replacement time)/2. The manner of obtaining the battery replacement time length is an optional implementation manner. According to the guidance of the embodiment, a person skilled in the art may obtain the battery replacement time length in other manners.
Next, the second acquisition unit 22 acquires the battery optimized number for each model of the vehicle battery. The battery optimized number includes a battery critical number and a battery saturated number.
Taking model A vehicle batteries as an example, successively taking the quantity of the model A vehicle batteries as i (i belongs to [1, n ], and n is the battery bin quantity of the battery changing station) to simulate and complete the battery changing and charging operations of the model A batteries of the battery changing station in the preset period, and evaluating and obtaining the optimized quantity of the model A vehicle batteries of the battery changing station.
Referring to fig. 2, the first acquisition unit 21 acquires the optimized number of batteries according to the following steps:
step S201, i is assigned 1.
Step S202, simulating and completing the battery replacement and charging operation of the model vehicle battery of the battery replacement station in the preset period by using the i pieces of the model vehicle battery.
Step S203, judging whether the ratio rati is larger than or equal to a first threshold value, if not, executing step S204; if yes, go to step S205.
Step S204, increase i by 1, and then return to step S202.
In step S205, i is used as the battery limit number.
Step S206, judging whether the ratio rati is larger than or equal to a second threshold value, if not, executing step S204; if not, go to step S207.
Step S207, i is taken as the critical number of batteries.
In specific implementation, firstly, a simulation is performed with i equal to 1, that is, it is assumed that only 1 vehicle battery of type a is installed in the power station. And simulating each battery replacement operation of the vehicle batteries of the A type of the battery replacement station by using the vehicle batteries of the A type according to the time sequence, and recording the corresponding SOC value. Assuming that the one a-type vehicle battery provided by the battery swapping station is bat1, for the first battery swapping in the preset period, the switch-on SOC value of the bat1 when switching to the electric vehicle is SOCon1, and SOCon1 is the starting SOC + charging amount. For the first battery replacement, the starting SOC is the average value of the starting SOC of the A-type vehicle battery in the city; the charging amount is (unit time length charging amount per unit time length (current time-previous order creation time-battery replacement time length), where the current time is the time when the battery bat1 is installed in the electric vehicle, the battery replacement order creation time is the time when the battery replacement order is created, and the battery replacement time length is (battery down time-previous order creation time) + (battery down time-battery up time)/2.
The replaced type a vehicle battery is called a substitute for bat1, and therefore, is continuously called bat 1. When the first battery replacement is finished, the starting SOC of bat1 is the remaining capacity of the replaced type a vehicle battery, and is obtained from the battery replacement record. Then, when the second battery replacement operation comes, the battery replacement operation is performed with the current bat1 as the battery replacement, and the SOC value SOCon2 of bat1 at the time of battery replacement starts SOC + charging amount. The charging amount is equal to (the charging amount per unit time length is equal to (the current time-the last order creation time-the battery replacement time length), and so on, and a change SOC value socinj (j is equal to [1, m ], and m is the total number of times of battery replacement of the type a vehicular battery in the preset period) when the electric vehicle is changed to the bat1 each time is obtained.
After obtaining SOConj (j ∈ [1, m ]), the fraction of the number of times SOConj is greater than the preset value in the m trades is evaluated 1. The ratio rate 1 can represent the meeting level that m times of battery replacement in the preset period can be completed under the condition that only one A-type vehicle battery is arranged.
Next, simulation was performed with i ═ 2. That is, it is assumed that only 2 a-type vehicle batteries (bat 1 and bat2, respectively) are provided in the battery replacement station. According to the time sequence, simulating each power replacing operation of the vehicle battery with the model A of the power replacing station by using the bat1 and the bat2, and recording the corresponding SOC value. And selecting the vehicle battery with the maximum electric quantity for current battery replacement according to the charging time length of the battery and the charging electric quantity per unit time length in each battery replacement operation. For the first power change in the preset period, let bat1 be the vehicle battery with the largest current electric quantity, bat1 is changed to the electric vehicle, the SOC value of bat1 when the battery is changed to the electric vehicle is SOCon1, and SOCon1 is the initial SOC + charging quantity. Here, since this is the first battery replacement operation of bat1, the start SOC takes the average of the start SOCs of the a-type vehicle batteries in the city; the charging amount is equal to (charging amount per unit time length × (current time-previous order creation time-battery replacement time), where the current time is the time when the battery bat1 is installed in the electric vehicle, the battery replacement order creation time is the time when the battery replacement order is created, and the battery replacement time is equal to ((battery down time-order creation time) + (battery down time-battery up time))/2.
Then, the replaced type a vehicle battery is called a substitute for bat1, and therefore, is continuously called bat 1. When the first battery replacement is finished, the starting SOC of bat1 is the remaining capacity of the replaced type a vehicle battery, which is obtained from the battery replacement record.
Then, when the second power conversion operation comes, the second obtaining unit 22 obtains the bat1 current electric quantity, and the bat1 current electric quantity starts the SOC + charging electric quantity. Wherein, the starting SOC is the residual capacity of the replaced A type vehicle battery; a charging amount (a unit time length charging amount (current time-previous order creation time-battery replacement time), wherein the current time is a time when the battery is mounted to the electric vehicle for the second battery replacement operation, the order creation time is a time when the order for the second battery replacement operation is created, the battery replacement time is (battery switch-off time-previous order creation time) + (battery switch-off time-battery switch-on time)/2, bat2 current electric amount is obtained, bat2 current electric amount is start SOC + charging amount, wherein the start SOC of bat2 is an average value of start SOCs of a model a vehicle batteries of the city (since battery replacement operation has not been performed before the bat2), and the charging amount (a unit time length charging amount (current time-previous order creation time-battery replacement time), wherein the current time is a time when the battery for the second battery replacement operation is mounted to the electric vehicle, the order creating time is the time of creating the order of the second battery replacement operation, and the battery replacement time length is (battery replacement time-last order creating time) + (battery replacement time-battery replacement time)/2.
The second acquiring unit 22 compares the bat1 current electric energy amount with the bat2 current electric energy amount, sets the higher one of the bat1 current electric energy amount and the bat2 current electric energy amount (the vehicle battery with the largest electric energy amount) as the change-up SOC value SOCon2 when the vehicle is changed up, and assumes that the corresponding vehicle battery is attached to the electric vehicle (that is, stops the simulated charging of the vehicle battery).
By analogy, the second obtaining unit 22 obtains the bat1 current electric quantity and the bat2 current electric quantity corresponding to each power change, and uses the larger one of the two (the vehicle battery with the largest electric quantity) as the change SOC value SOConj (j e [1, m ], where m is the total number of times of power changes of the a model vehicle battery in the preset period) when the vehicle is changed to the electric vehicle.
After acquiring SOConj (j ∈ [1, m ]), the second acquisition unit 22 evaluates the ratio of the number of times, at which SOConj is larger than the preset value, of the m times of swapping, which is rat 2. The ratio rat2 can represent the meeting level of m times of battery replacement in the preset period under the condition that only two A-type vehicle batteries are arranged.
And so on, increasing i in sequence to obtain rati. When the obtained rai is greater than or equal to the first threshold, the second acquiring unit 22 takes the value corresponding to i as the critical number of batteries of the a-model vehicle battery.
I continues to be increased to obtain rati. When the obtained rati is greater than or equal to the second threshold value, the second acquisition unit 22 takes the value corresponding to i as the battery saturation number of the a-model vehicle battery. The second threshold is greater than the first threshold. In an alternative embodiment, the second threshold is 100% and the first threshold is 85%.
For the critical quantity and the saturated quantity of the batteries of the vehicle batteries of other models, the acquisition mode refers to the acquisition mode of the critical quantity and the saturated quantity of the batteries of the vehicle battery of model A.
After the battery replacement service level of the battery replacement station is quantized and the battery critical number that the battery replacement service level of the battery replacement station meets the requirements is obtained, the battery saturation number that the battery replacement service level of the battery replacement station reaches the upper limit is continuously obtained, specifically, when the proportion of the battery replacement times that the battery charge state reaches the preset threshold value to the total battery replacement times when the vehicle battery is loaded to the electric vehicle reaches the second threshold value, the battery number that the vehicle battery currently takes a value is obtained as the battery saturation number of the vehicle battery, and then the battery number of the battery replacement station is reasonably configured according to the battery critical number and the battery saturation number, so that the battery replacement service level of the battery replacement station can meet the battery replacement requirements of users, and resource waste caused by excessive battery configuration after the battery replacement service level of the battery replacement station reaches the upper limit can be avoided.
Then, the third acquisition unit 23 acquires the battery arrangement number of the vehicle batteries of the battery replacement station. First, the third acquisition unit 23 obtains several combinations of batteries based on the critical number of batteries and the saturated number of batteries of each model of vehicle battery. Wherein each combination mode comprises at least two types of batteries, and the number of the batteries of each type is set as Nk (k is equal to [1, p ]]P is the number of the types of the batteries included in the combination mode), Nk is not less than the critical number of the batteries corresponding to the types of the batteries for vehicles, Nk is not less than the saturated number of the batteries corresponding to the types of the batteries for vehicles, and the total number of the batteries included in the combination mode is
Figure BDA0002954692200000221
N<And Ns, wherein Ns is the number of battery bins of the battery swapping station.
Next, the third obtaining unit 23 obtains, for each combination, the first ratio r1 of each battery type in the combination, where the first ratio r1 is No1/No2, No1 is the number of the change-up SOC value SOCon when the vehicle battery type is changed to the electric vehicle is greater than the preset SOC value, and No2 is the total number of the battery replacement stations performing the battery replacement in the preset period.
Then, the third acquisition unit 23 acquires the ratio sum R, the ratio sum
Figure BDA0002954692200000222
I.e., the sum of the first ratios r1 corresponding to all models of vehicle batteries.
Finally, the third obtaining unit 23 takes any one of three combination manners in which the ratio and the value of R are the largest as the target battery number combination of the battery changing station, and takes the number of each vehicle battery in the target battery number combination as the battery configuration number of the vehicle battery of the model.
Example 6
The embodiment provides a configuration system for the number of batteries in a power station. The configuration system of the battery number of the battery replacement station in the present embodiment is substantially the same as the configuration system of the battery number of the battery replacement station in embodiment 5. In this embodiment, when the battery configuration number of the vehicle battery of the battery swapping station is obtained, the available bin number of the battery swapping station is used as a constraint condition.
In specific implementation, first, the third obtaining unit 23 obtains a plurality of combination modes of the batteries based on the critical number and the saturated number of the batteries of each model of vehicle battery. Wherein each combination mode comprises at least two types of batteries, and the number of the batteries of each type is set as Nk (k belongs to [1, p ]]P is the number of the types of the batteries included in the combination mode), Nk is not less than the critical number of the batteries corresponding to the types of the batteries for vehicles, Nk is not less than the saturated number of the batteries corresponding to the types of the batteries for vehicles, and the total number of the batteries included in the combination mode is
Figure BDA0002954692200000231
N<Np, where Np is the number of available bins of the power swapping station, Ns (1-p), Ns is the number of battery bins of the power swapping station, and p is the probability of bin failure of the power swapping station.
The charger usually has 2 modules that charge in trading the position of power station, and when a certain module that charges damaged, another module that charges still can charge, but supposes that the charge volume and the length of charging are evenly distributed, so when only a module that charges work and charge the equivalent electric quantity, the length of charging time can increase 1 time.
When N < Np, there is no impact on the charging of the station batteries, since there are unused and normal bins (chargers) available. When N is equal to or greater than Np, charging of the station battery is effected.
If a station has 28 bins, and the failure probability is 5%, 28 × 5% — 1.4 corresponds to 1 bin and 1 charging module in one bin not working normally. In this case, Np takes a value of 26.5.
Next, the third obtaining unit 23 obtains, for each combination, the first ratio r1 of each battery type in the combination, where the first ratio r1 is No1/No2, No1 is the number of the change-up SOC value SOCon when the vehicle battery type is changed to the electric vehicle is greater than the preset SOC value, and No2 is the total number of the battery replacement stations performing the battery replacement in the preset period.
Then, the third acquisition unit 23 acquires the ratio sum R, the ratio sum
Figure BDA0002954692200000232
I.e., the sum of the first ratios r1 corresponding to all models of vehicle batteries.
Finally, the third obtaining unit 23 takes any one of three combination manners in which the ratio and the value of R are the largest as the target battery number combination of the battery changing station, and takes the number of each vehicle battery in the target battery number combination as the battery configuration number of the vehicle battery of the model.
The influence of the bin fault probability of the battery replacement station on the battery configuration quantity is introduced, the actual operation condition of the battery replacement station is closer, and the accuracy of the obtained battery configuration quantity of the vehicle battery of the type is higher.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.

Claims (10)

1. A configuration method for the number of batteries in a battery replacement station is characterized by comprising the following steps:
acquiring the battery bin quantity of a target battery replacement station and battery replacement information of an automobile battery;
respectively simulating battery replacement operation based on the battery replacement information when the number of the batteries of the vehicle batteries is taken as a value under the condition that the number of the battery storage spaces is not more than the number of the battery storage spaces, so as to obtain the optimized number of the batteries of which the battery charge states reach a preset threshold value when the vehicle batteries are loaded to an electric vehicle;
and determining the battery configuration number of the vehicle battery according to the battery optimization number.
2. The method for configuring the battery replacing station battery number according to claim 1, wherein the acquiring the battery bin number of the target battery replacing station and the battery replacing information of the vehicle battery comprises:
acquiring the number of battery bins of a target battery replacement station and battery replacement information of various types of vehicle batteries;
respectively executing the value taking of the number of the batteries of the vehicle batteries under the condition that the number of the batteries does not exceed the number of the battery positions for each type of vehicle batteries, and simulating a battery replacement operation based on the battery replacement information to obtain the optimized number of the batteries of which the battery charge states reach a preset threshold value when the vehicle batteries are loaded to an electric vehicle;
the determining the battery configuration number of the vehicle battery according to the battery optimization number comprises:
and determining the battery configuration quantity of the vehicle batteries of various types according to the battery bin quantity and the battery optimization quantity of the vehicle batteries of various types.
3. The method for configuring the number of battery swapping stations and batteries according to claim 2, wherein the optimized number of batteries comprises a critical number of batteries; the determining the battery configuration number of the vehicle batteries of various types according to the battery bin number and the battery optimization number of the vehicle batteries of various types comprises the following steps:
generating all selectable battery number combinations of the vehicle batteries of various types in the target power conversion station, wherein the battery number of each vehicle battery of various types in the selectable battery number combinations is not less than the critical battery number of the vehicle battery, and the sum of the battery numbers of the vehicle batteries of various types in the selectable battery number combinations is not more than the battery bin number;
for each optional battery number combination, acquiring the ratio of the number of times of battery replacement when the battery charge state of various types of vehicle batteries reaches a preset threshold value to the total number of times of battery replacement of the types of vehicle batteries in the optional battery number combinations;
and selecting a target battery quantity combination according to the ratio, and taking the battery quantity of each type of vehicle battery in the target battery quantity combination as the battery configuration quantity of the corresponding type.
4. The method for configuring the number of battery cells in a battery swapping station according to claim 3, wherein the simulating a battery swapping operation based on the battery swapping information when the number of battery cells of the vehicle battery is evaluated under the condition that the number of battery storage locations is not exceeded, so as to obtain an optimized number of battery cells, of which the state of charge of the battery cells reaches a preset threshold value when the vehicle battery is loaded in the electric vehicle, comprises:
respectively simulating the battery replacement operation corresponding to the battery replacement information when the number of the batteries of the vehicle is not greater than the number of the battery storage spaces;
when the ratio of the number of times of battery replacement when the state of charge of the vehicle battery reaches a preset threshold value to the total number of times of battery replacement reaches a first threshold value when the vehicle battery is loaded to the electric vehicle, acquiring the number of the batteries currently taken by the vehicle battery as the critical number of the batteries of the vehicle battery.
5. The method for configuring the number of battery swapping stations according to claim 4, wherein the optimized number of batteries further comprises a battery saturation number; the configuration method for the number of the battery replacing stations further comprises the following steps:
when the ratio of the number of battery replacement times when the state of charge of the vehicle battery reaches a preset threshold value to the total number of battery replacement times reaches a second threshold value when the vehicle battery is loaded in the electric vehicle, acquiring the current value-taking battery number of the vehicle battery as the battery saturation number of the vehicle battery; the battery number of each type of vehicle battery in the selectable battery number combination is not more than the battery saturation number of the vehicle battery.
6. The method for configuring the number of batteries in a battery swapping station according to claim 1, wherein the battery swapping information of the vehicle battery is a battery swapping record of the target battery swapping station, and the battery swapping record comprises order creation time, battery down time, battery up SOC and battery down SOC; selecting the vehicle battery with the maximum electric quantity for current battery replacement according to the charging time and the charging electric quantity per unit time in the battery replacement operation; the battery charging time length is related to the current time, the order creation time and the battery replacement time length, and the battery replacement time length is related to the order creation time, the battery replacement time and the battery replacement time; the unit time length of the charging electric quantity is related to the battery on-off SOC and the battery off-off SOC.
7. The method for configuring the number of the batteries in the battery swapping station according to claim 6, wherein during the simulated battery swapping operation, when the value of the number of the batteries of the vehicle battery reaches the number of the available bin bits, the vehicle battery with the largest electric quantity is selected for current battery swapping according to the number of the available bin bits, the battery charging time and the charging amount per unit time; the number of available bins is related to the number of battery bins and the bin failure probability.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method for configuring the number of battery swapping stations as claimed in any one of claims 1 to 7 when executing the computer program.
9. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the configuration method for changing the number of battery stations according to any one of claims 1 to 7.
10. A configuration system for the number of batteries in a battery replacement station is characterized by comprising a first acquisition unit, a second acquisition unit and a third acquisition unit;
the first acquisition unit is used for acquiring the battery bin quantity of the target battery replacement station and the battery replacement information of the vehicle battery;
the second obtaining unit is used for simulating battery replacement operation based on the battery replacement information when the number of the batteries of the vehicle batteries is a value under the condition that the number of the battery positions is not more than the number of the battery positions, so as to obtain the optimized number of the batteries of which the battery charge states reach a preset threshold value when the vehicle batteries are loaded to an electric vehicle;
the third obtaining unit is used for determining the battery configuration number of the vehicle battery according to the battery optimization number.
CN202110220610.2A 2021-02-26 2021-02-26 Configuration method, system, equipment and medium for battery number of battery replacement station Pending CN114971113A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117010669A (en) * 2023-09-28 2023-11-07 蓝谷智慧(北京)能源科技有限公司 Battery demand determining method for power exchange station, electronic equipment and readable storage medium
CN117922368A (en) * 2023-12-20 2024-04-26 安易行(常州)新能源科技有限公司 Battery compartment balance use method based on new energy automobile power exchange station

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117010669A (en) * 2023-09-28 2023-11-07 蓝谷智慧(北京)能源科技有限公司 Battery demand determining method for power exchange station, electronic equipment and readable storage medium
CN117010669B (en) * 2023-09-28 2024-03-08 蓝谷智慧(北京)能源科技有限公司 Battery demand determining method for power exchange station, electronic equipment and readable storage medium
CN117922368A (en) * 2023-12-20 2024-04-26 安易行(常州)新能源科技有限公司 Battery compartment balance use method based on new energy automobile power exchange station
CN117922368B (en) * 2023-12-20 2024-09-06 安易行(常州)新能源科技有限公司 Battery compartment balance use method based on new energy automobile power exchange station

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