Configuration Method, System, Device and Medium for the Number of Batteries in a Battery Swap Station

Abstract

The present invention discloses a method, system, device and medium for configuring the number of batteries in a battery swapping station. The method for configuring the number of batteries in a battery swapping station includes the following steps: obtaining the number of battery compartments in the target battery swapping station and the battery swapping information of vehicle-mounted batteries; respectively simulating the battery swapping operation based on the battery swapping information when the number of vehicle-mounted batteries takes values under the condition that it does not exceed the number of battery compartments, so as to obtain the optimized number of batteries when the state of charge of the vehicle-mounted batteries reaches a preset threshold when loaded into an electric vehicle; determining the configured number of vehicle-mounted batteries according to the optimized number of batteries.

Description

Technical Field

[0001] The present invention belongs to the technical field of the configuration of the number of batteries in a battery swapping station, and particularly relates to a method, a system, a device and a medium for configuring the number of batteries in a battery swapping station. Background Art

[0002] A battery swapping station is a place for quickly and efficiently replenishing electric energy for new energy vehicles. The battery swapping station can not only save the requirements of new energy vehicles for charging stations / piles and other equipment, but also improve the utilization rate of the equipment. If the number of battery packs in the battery swapping station is set too many, it will cause idle and waste; if set too few, it will reduce the battery swapping efficiency of the battery swapping station. Reasonably setting the number of batteries in the battery swapping station is a difficult problem. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to overcome the defect that it is difficult to reasonably set the number of batteries in the existing battery swapping station, and to provide a method, a system, a device and a medium for configuring the number of batteries in a battery swapping station.

[0004] The present invention solves the above technical problem by the following technical solutions:

[0005] The present invention provides a method for configuring the number of batteries in a battery swapping station, including the following steps:

[0006] Obtain the number of battery compartments in the target battery swapping station and the battery swapping information of the vehicle-mounted batteries;

[0007] When the number of vehicle-mounted batteries takes values under the condition that it does not exceed the number of battery compartments, simulate the battery swapping operation based on the battery swapping information to obtain the optimized number of batteries when the state of charge of the vehicle-mounted batteries reaches a preset threshold when loaded onto the electric vehicle;

[0008] Determine the configured number of batteries of the vehicle-mounted batteries according to the optimized number of batteries.

[0009] In this solution, the battery swapping operation is simulated based on the historical battery swapping information. Specifically, under the constraint of the number of battery compartments in the battery swapping station, the battery swapping operation of the battery swapping station under different battery numbers is simulated respectively, and the optimized number of batteries when the state of charge of the vehicle-mounted batteries reaches a preset threshold when loaded onto the electric vehicle is obtained under various battery number configurations, that is, the optimized number of batteries in the scenario where the battery swapping service level can meet the battery swapping demand. Then, the number of batteries in the battery swapping station can be reasonably configured according to the optimized number of batteries, effectively improving the utilization rate of the vehicle-mounted batteries.

[0010] Preferably, obtaining the number of battery compartments in the target battery swapping station and the battery swapping information of the vehicle-mounted batteries includes:

[0011] Obtain the number of battery compartments in the target battery swapping station and the battery swapping information of various types of vehicle-mounted batteries;

[0012] For each type of vehicle battery, perform the step of simulating the battery swapping operation based on the battery swapping information when the number of vehicle batteries takes values under the condition that the number of vehicle batteries does not exceed the number of battery storage positions, so as to obtain the optimized number of batteries when the state of charge of the vehicle battery reaches the preset threshold when loaded into the electric vehicle;

[0013] Determine the configured number of vehicle batteries according to the optimized number of batteries, including:

[0014] Determine the configured number of vehicle batteries of each type according to the number of battery storage positions and the optimized number of batteries of each type of vehicle battery.

[0015] In this solution, obtain the number of battery storage positions of the target battery swapping station and the battery swapping information of each type of vehicle battery, and determine the configured number of vehicle batteries of each type according to the number of battery storage positions and the optimized number of batteries of each type of vehicle battery. In this way, in the scenario of multiple vehicle models, the number of batteries can be reasonably configured for each vehicle model under the limitation of the number of battery storage positions in the battery swapping station.

[0016] Preferably, the optimized number of batteries includes the critical number of batteries; determining the configured number of vehicle batteries of each type according to the number of battery storage positions and the optimized number of batteries of each type of vehicle battery includes:

[0017] Generate all optional combinations of the number of vehicle batteries of each type in the target battery swapping station. In the optional combinations of the number of batteries, the number of vehicle batteries of each type is not less than the critical number of vehicle batteries, and the sum of the number of vehicle batteries of each type in the optional combinations of the number of batteries does not exceed the number of battery storage positions;

[0018] For each optional combination of the number of batteries, obtain the proportion of the number of battery swapping times when the state of charge of the vehicle batteries of each type reaches the preset threshold when loaded into the electric vehicle in the total number of battery swapping times of the vehicle batteries of the type in the optional combination of the number of batteries;

[0019] Select the target combination of the number of batteries according to the proportion, and use the number of vehicle batteries of each type in the target combination of the number of batteries as the configured number of batteries of the corresponding type.

[0020] In this solution, for each optional combination of the number of batteries, obtain the proportion of the number of battery swapping times when the state of charge of the vehicle batteries of each type reaches the preset threshold when loaded into the electric vehicle in the total number of battery swapping times of the vehicle batteries of the type in the optional combination of the number of batteries, and select the target combination of the number of batteries according to the proportion, which can enable the vehicle batteries set according to the configured number of batteries to provide sufficient battery swapping services under a more reasonable number, and improve the utilization rate of the vehicle batteries.

[0021] Preferably, when the number of vehicle batteries is respectively taken under the condition that it does not exceed the number of battery compartments, the battery swapping operation is simulated based on the battery swapping information to obtain the optimized number of batteries when the state of charge of the vehicle battery reaches a preset threshold when loaded into the electric vehicle, including:

[0022] Respectively simulate the battery swapping operations corresponding to the battery swapping information when the number of vehicle batteries is taken under the condition that it does not exceed the number of battery compartments;

[0023] When the proportion of the number of battery swapping times when the state of charge of the vehicle battery reaches the preset threshold when loaded into the electric vehicle in the total number of battery swapping times reaches the first threshold, obtain the current value of the number of vehicle batteries as the critical number of vehicle batteries.

[0024] In this solution, the battery swapping service level of the battery swapping station is quantified by the proportion of the number of battery swapping times when the state of charge of the vehicle battery reaches the preset threshold when loaded during vehicle battery swapping in the total number of battery swapping times, and then the critical number of batteries for the number configuration of the vehicle battery is obtained so that the battery swapping service level of the battery swapping station meets the requirements. Specifically, when the proportion of the number of battery swapping times when the state of charge of the vehicle battery reaches the preset threshold when loaded into the electric vehicle in the total number of battery swapping times reaches the first threshold, obtain the current value of the number of vehicle batteries as the critical number of vehicle batteries, and then reasonably configure the number of batteries in the battery swapping station according to this critical number of batteries, which can ensure that the battery swapping service level of the battery swapping station can meet the battery swapping needs of users.

[0025] Preferably, the optimized number of batteries further includes the saturated number of batteries; the method for configuring the number of batteries in the battery swapping station further includes:

[0026] When the proportion of the number of battery swapping times when the state of charge of the vehicle battery reaches the preset threshold when loaded into the electric vehicle in the total number of battery swapping times reaches the second threshold, obtain the current value of the number of vehicle batteries as the saturated number of vehicle batteries; the number of each type of vehicle battery in the optional battery number combination is not greater than the saturated number of vehicle batteries.

[0027] In this solution, after quantifying the battery swapping service level of the battery swapping station and obtaining the critical number of batteries for which the battery swapping service level of the battery swapping station meets the requirements, continue to obtain the saturated number of batteries when the battery swapping service level of the battery swapping station reaches the upper limit. Specifically, when the proportion of the number of battery swapping times when the state of charge of the vehicle battery reaches the preset threshold when loaded into the electric vehicle in the total number of battery swapping times reaches the second threshold, obtain the current value of the number of vehicle batteries as the saturated number of vehicle batteries, and then reasonably configure the number of batteries in the battery swapping station according to the critical number of batteries and the saturated number of batteries, which can not only ensure that the battery swapping service level of the battery swapping station can meet the battery swapping needs of users, but also avoid waste of resources caused by excessive battery configuration after the battery swapping service level of the battery swapping station reaches the upper limit.

[0028] Preferably, the battery swapping information of the vehicle-mounted battery is the battery swapping record of the target battery swapping station. The battery swapping record includes the order creation time, the battery removal time, the battery installation time, the SOC of the installed battery, and the SOC of the removed battery. During the battery swapping operation, the vehicle-mounted battery with the largest amount of electricity is selected for the current battery swapping according to the battery charging duration and the amount of electricity charged per unit duration. The battery charging duration is related to the current time, the order creation time, and the battery swapping duration. The battery swapping duration is related to the order creation time, the battery removal time, and the battery installation time. The amount of electricity charged per unit duration is related to the SOC of the installed battery and the SOC of the removed battery.

[0029] In this solution, selecting the vehicle-mounted battery with the largest amount of electricity for the current battery swapping according to the battery charging duration and the amount of electricity charged per unit duration during the battery swapping operation can improve the utilization rate of the charged electricity and reduce waste. By reasonably obtaining the battery swapping record, and then obtaining the battery charging duration, the battery swapping duration, and the amount of electricity charged per unit duration, the accuracy of obtaining the number of battery configurations can be improved when simulating the battery swapping operation based on these data.

[0030] Preferably, when simulating the battery swapping operation, when the value of the number of vehicle-mounted batteries reaches the available bin number, the vehicle-mounted battery with the largest amount of electricity is selected for the current battery swapping according to the available bin number, the battery charging duration, and the amount of electricity charged per unit duration. The available bin number is related to the number of battery bins and the bin failure probability.

[0031] In this solution, considering the possibility of battery bin failures, obtaining the number of battery configurations according to the actual available bin number can improve the accuracy of obtaining the number of battery configurations.

[0032] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the battery number configuration method of the battery swapping station of the present invention is implemented.

[0033] The present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the battery number configuration method of the battery swapping station of the present invention are implemented.

[0034] The present invention also provides a battery number configuration system for a battery swapping station, including a first acquisition unit, a second acquisition unit, and a third acquisition unit;

[0035] The first acquisition unit is used to acquire the number of battery bins of the target battery swapping station and the battery swapping information of the vehicle-mounted battery;

[0036] The second acquisition unit is used to simulate the battery swapping operation based on the battery swapping information when the number of vehicle-mounted batteries takes values under the condition that it does not exceed the number of battery bins, so as to obtain the optimized number of batteries when the state of charge of the battery reaches a preset threshold when the vehicle-mounted battery is loaded into the electric vehicle;

[0037] The third acquisition unit is configured to determine the battery configuration quantity of the vehicle battery according to the optimized battery quantity.

[0038] In this solution, the battery swapping operation is simulated based on historical battery swapping information. Specifically, under the constraint of the number of battery compartments in the battery swapping station, the battery swapping operation of the battery swapping station under different battery quantities is simulated respectively, and the optimized battery quantity when the state of charge of the vehicle battery reaches a preset threshold when loaded into the electric vehicle is obtained, that is, the optimized battery quantity in the scenario where the battery swapping service level can meet the battery swapping demand. Subsequently, the number of batteries in the battery swapping station can be reasonably configured according to this optimized battery quantity, effectively improving the utilization rate of the vehicle battery.

[0039] Preferably, the first acquisition unit is configured to acquire the number of battery compartments of the target battery swapping station and the battery swapping information of vehicle batteries of various models;

[0040] The second acquisition unit is configured to, for each model of vehicle battery, when the number of vehicle batteries takes values under the condition that the number of vehicle batteries does not exceed the number of battery compartments, simulate the battery swapping operation based on the battery swapping information to obtain the optimized battery quantity when the state of charge of the vehicle battery reaches a preset threshold when loaded into the electric vehicle;

[0041] The third acquisition unit is configured to determine the battery configuration quantity of vehicle batteries of various models according to the number of battery compartments and the optimized battery quantity of vehicle batteries of various models.

[0042] In this solution, the number of battery compartments of the target battery swapping station and the battery swapping information of vehicle batteries of various models are acquired, and the battery configuration quantity of vehicle batteries of various models is determined according to the number of battery compartments and the optimized battery quantity of vehicle batteries of various models. In this way, under the limitation of the number of battery compartments in the battery swapping station, the battery quantity can be reasonably configured for various vehicle models in the scenario of multiple vehicle models.

[0043] Preferably, the optimized battery quantity includes the critical battery quantity;

[0044] The third acquisition unit is configured to generate all optional battery quantity combinations of vehicle batteries of various models in the target battery swapping station. In the optional battery quantity combinations, the battery quantity of each model of vehicle battery is not less than the critical battery quantity of the vehicle battery, and the sum of the battery quantities of vehicle batteries of various models in the optional battery quantity combinations does not exceed the number of battery compartments;

[0045] The third acquisition unit is configured to, for each optional battery quantity combination, acquire the ratio of the number of battery swapping times when the state of charge of vehicle batteries of various models reaches a preset threshold when loaded into the electric vehicle to the total number of battery swapping times of the vehicle batteries of the model in the optional battery quantity combination;

[0046] The third acquisition unit is configured to select a target battery quantity combination according to the proportion, and use the battery quantity of each model of vehicle battery in the target battery quantity combination as the battery configuration quantity of the corresponding model.

[0047] In this solution, for each optional battery quantity combination, obtain the proportion of the number of battery replacements when the state of charge of each model of vehicle battery reaches a preset threshold when loaded into an electric vehicle in the total number of battery replacements of the model of vehicle battery, and select a target battery quantity combination according to this proportion, which can enable the vehicle batteries set according to the battery configuration quantity to provide sufficient battery replacement services at a relatively reasonable quantity, and improve the utilization rate of vehicle batteries.

[0048] Preferably, the second acquisition unit is configured to respectively simulate the battery replacement operations corresponding to the battery replacement information when the battery quantity of the vehicle battery takes values under the condition that the battery quantity does not exceed the number of battery compartments.

[0049] When the proportion of the number of battery replacements when the state of charge of the vehicle battery reaches a preset threshold when loaded into an electric vehicle in the total number of battery replacements reaches a first threshold, the second acquisition unit is configured to obtain the current battery quantity value of the vehicle battery as the battery critical quantity of the vehicle battery.

[0050] In this solution, the battery replacement service level of the battery replacement station is quantified by the proportion of the number of battery replacements when the state of charge of the vehicle battery reaches a preset threshold when loaded during vehicle battery replacement in the total number of battery replacements, and then the battery critical quantity that enables the battery replacement service level of the battery replacement station to meet the requirements is obtained for the quantity configuration of the vehicle battery. Specifically, when the proportion of the number of battery replacements when the state of charge of the vehicle battery reaches a preset threshold when loaded into an electric vehicle in the total number of battery replacements reaches a first threshold, obtain the current battery quantity value of the vehicle battery as the battery critical quantity of the vehicle battery, and then reasonably configure the battery quantity of the battery replacement station according to this battery critical quantity, which can ensure that the battery replacement service level of the battery replacement station can meet the battery replacement needs of users.

[0051] Preferably, the optimized battery quantity further includes the battery saturation quantity; when the proportion of the number of battery replacements when the state of charge of the vehicle battery reaches a preset threshold when loaded into an electric vehicle in the total number of battery replacements reaches a second threshold, the second acquisition unit is configured to obtain the current battery quantity value of the vehicle battery as the battery saturation quantity of the vehicle battery; the battery quantity of each model of vehicle battery in the optional battery quantity combination is not greater than the battery saturation quantity of the vehicle battery.

[0052] In this solution, after quantifying the battery swapping service level of the battery swapping station and obtaining the critical number of batteries for which the battery swapping service level of the battery swapping station meets the requirements, the saturated number of batteries when the battery swapping service level of the battery swapping station reaches the upper limit is further obtained. Specifically, when the proportion of the number of battery swaps in which the state of charge of the vehicle battery reaches the preset threshold when the vehicle battery is loaded into the electric vehicle to the total number of battery swaps reaches the second threshold, the number of batteries with the current value of the vehicle battery is obtained as the saturated number of batteries of the vehicle battery. Then, based on the critical number of batteries and the saturated number of batteries, the number of batteries in the battery swapping station is reasonably configured, which can not only ensure that the battery swapping service level of the battery swapping station can meet the battery swapping needs of users, but also avoid waste of resources caused by excessive battery configuration after the battery swapping service level of the battery swapping station reaches the upper limit.

[0053] Preferably, the battery swapping information of the vehicle battery is the battery swapping record of the target battery swapping station, and the battery swapping record includes the order creation time, the battery removal time, the battery installation time, the state of charge (SOC) of the installed battery, and the state of charge (SOC) of the removed battery; in the battery swapping operation, the vehicle battery with the largest amount of electricity is selected for the current battery swapping according to the battery charging duration and the amount of electricity charged per unit time; the battery charging duration is related to the current time, the order creation time, and the battery swapping duration, and the battery swapping duration is related to the order creation time, the battery removal time, and the battery installation time; the amount of electricity charged per unit time is related to the state of charge (SOC) of the installed battery and the state of charge (SOC) of the removed battery.

[0054] In this solution, selecting the vehicle battery with the largest amount of electricity for the current battery swapping according to the battery charging duration and the amount of electricity charged per unit time in the battery swapping operation can improve the utilization rate of the charged electricity and reduce waste; by reasonably obtaining the battery swapping record, and then obtaining the battery charging duration, the battery swapping duration, and the amount of electricity charged per unit time, the accuracy of obtaining the number of battery configurations can be improved when simulating the battery swapping operation based on these data.

[0055] Preferably, when simulating the battery swapping operation, when the value of the number of vehicle batteries reaches the available bin number, the vehicle battery with the largest amount of electricity is selected for the current battery swapping according to the available bin number, the battery charging duration, and the amount of electricity charged per unit time; the available bin number is related to the number of battery bins and the probability of bin failure.

[0056] In this solution, considering the possibility of battery bin failure, obtaining the number of battery configurations according to the actual available bin number can improve the accuracy of obtaining the number of battery configurations.

[0057] The positive and progressive effects of the present invention are as follows: The present invention simulates the battery swapping operation based on historical battery swapping information. Specifically, under the constraint of the number of battery compartments in the battery swapping station, the battery swapping operation of the battery swapping station under different battery quantities is simulated respectively, and the optimized number of batteries is obtained when the state of charge of the vehicle battery reaches a preset threshold when the vehicle battery is loaded into the electric vehicle, that is, the optimized number of batteries in the scenario where the battery swapping service level can meet the battery swapping demand. Then, the number of batteries in the battery swapping station can be reasonably configured according to the optimized number of batteries, effectively improving the utilization rate of the vehicle battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a flowchart of the method for configuring the number of batteries in the battery swapping station according to Embodiment 1 of the present invention.

[0059] Figure 2 It is a flowchart of step S2 of the method for configuring the number of batteries in the battery swapping station according to Embodiment 1 of the present invention.

[0060] Figure 3 It is a schematic structural diagram of the electronic device according to Embodiment 3 of the present invention.

[0061] Figure 4 It is a schematic structural diagram of the system for configuring the number of batteries in the battery swapping station according to Embodiment 5 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0062] The present invention will be further described below by way of embodiments, but the present invention is not limited to the scope of the described embodiments.

[0063] Embodiment 1

[0064] This embodiment provides a method for configuring the number of batteries in a battery swapping station. Referring to Figure 1 , the method for configuring the number of batteries in the battery swapping station includes the following steps:

[0065] Step S1: Obtain the number of battery compartments in the target battery swapping station and the battery swapping information of the vehicle battery.

[0066] Step S2: When the number of vehicle batteries takes values under the condition that the number of vehicle batteries does not exceed the number of battery compartments, simulate the battery swapping operation based on the battery swapping information to obtain the optimized number of batteries when the state of charge of the vehicle battery reaches a preset threshold when the vehicle battery is loaded into the electric vehicle.

[0067] Step S3: Determine the battery configuration quantity of the vehicle battery according to the optimized number of batteries.

[0068] Among them, the battery swapping information of the vehicle-mounted battery can be the battery swapping records of the target battery swapping station's historical battery swapping, or the predicted battery swapping information of the vehicle-mounted battery. The predicted battery swapping information can be related to the physical environment where the target battery swapping station is located and the battery swapping user information within a certain range.

[0069] Among them, the battery swapping operation is simulated based on the historical battery swapping information. Specifically, under the constraint of the number of battery compartments in the battery swapping station, the battery swapping operations of the battery swapping station under different battery quantities are simulated respectively, and the optimized number of batteries when the state of charge of the vehicle-mounted battery reaches the preset threshold when loaded into the electric vehicle is obtained for each battery quantity configuration. That is, the optimized number of batteries in the scenario where the battery swapping service level can meet the battery swapping demand. Subsequently, the number of batteries in the battery swapping station can be reasonably configured according to this optimized number of batteries, effectively improving the utilization rate of the vehicle-mounted battery.

[0070] In specific implementation, in step S1, the battery swapping information of the vehicle-mounted battery at the target battery swapping station within a preset period is obtained. When the battery swapping information of the vehicle-mounted battery is the battery swapping record of the target battery swapping station, the battery swapping record includes the order creation time, the battery removal time (i.e., the time corresponding to the removed vehicle-mounted battery during this battery swapping operation), the battery installation time (i.e., the time corresponding to the installed vehicle-mounted battery during this battery swapping operation), the SOC of the installed battery (i.e., the remaining power of the installed vehicle-mounted battery when installed during this battery swapping operation), and the SOC of the removed battery (i.e., the remaining power of the removed vehicle-mounted battery when removed during this battery swapping operation).

[0071] According to the information of the battery swapping operation of this battery swapping station within the preset period, the charging power per unit time Tu corresponding to each battery swapping operation is obtained. The charging power per unit time Tu = (ending SOC - starting SOC) / charging duration, where the charging duration is the time length for charging the installed battery before this installation operation of this battery swapping operation, the ending SOC is the remaining power of the installed battery when installed (i.e., the SOC of the installed battery during the current battery swapping operation), and the starting SOC is the remaining power of the installed battery at the moment when charging starts corresponding to this charging duration (i.e., the SOC of the removed battery of this installed battery when it was removed last time, which is the starting power at the start of charging of this installed battery).

[0072] The charging duration can be obtained according to the charging record of this battery. If the ending SOC is less than the SOC value corresponding to when this vehicle-mounted battery is fully charged, the charging duration is the actual charging duration of this vehicle-mounted battery; if the ending SOC is equal to the SOC value corresponding to when this vehicle-mounted battery is fully charged, the charging duration is the charging duration experienced by this vehicle-mounted battery at the moment of reaching full charge.

[0073] Then, sort according to the charging amount records per unit time of vehicle batteries of each model in the battery swapping station. Then, obtain the average charging amount per unit time. Specifically, when implementing, obtain the average charging amount per unit time for each model of vehicle battery respectively.

[0074] In an alternative implementation, sum up the charging amounts per unit time of the batteries of this model, and then divide by the total number of the batteries of this model to obtain the average charging amount per unit time of the batteries of this model.

[0075] In another alternative implementation, screen the batteries of this model according to the charging amount per unit time, eliminate the top 10% of the charging amount records per unit time in the batteries of this model, eliminate the bottom 10% of the charging amount records per unit time in the batteries of this model, and retain the middle 80%. Then, obtain the average value of the charging amount per unit time for the retained 80% as the average charging amount per unit time of the vehicle batteries of this model. Given that there may be noise data (abnormal data) in the charging amount per unit time of the batteries of this model obtained, and the maximum and minimum values are likely to be noise data, therefore, eliminating the noise data through sorting can improve the accuracy of the obtained average charging amount per unit time.

[0076] Obtain the battery swapping duration corresponding to each battery swapping operation. Battery swapping duration = (battery removal time - previous order creation time) + (battery removal time - battery installation time) / 2. The way to obtain the battery swapping duration here is an alternative implementation. Those skilled in the art can adopt other methods to obtain the battery swapping duration according to the guidance of this embodiment.

[0077] Next, obtain the optimized battery quantity of each model of vehicle battery. The optimized battery quantity includes the critical battery quantity and the saturated battery quantity.

[0078] Taking the vehicle batteries of model A as an example, successively simulate the battery swapping and charging operations of the type-A batteries in the battery swapping station within the preset period with the number of vehicle batteries of model A being i (i ∈ [1, n], where n is the number of battery compartments in the battery swapping station), and evaluate to obtain the optimized battery quantity of the vehicle batteries of model A in the battery swapping station.

[0079] Refer to Figure 2 , step S2 includes the following steps:

[0080] Step S201, assign the value of 1 to i.

[0081] Step S202, simulate the battery swapping and charging operations of the vehicle batteries of this model in the battery swapping station within the preset period with i batteries of this model.

[0082] Step S203, determine whether the ratio ratio is greater than or equal to a first threshold, if not, execute step S204; if yes, execute step S205.

[0083] Step S204, increase i by 1, and then return to step S202.

[0084] Step S205: taking i as the critical number of batteries.

[0085] Step S206, determine whether the ratio ratio is greater than or equal to the second threshold, if not, execute step S204; if not, execute step S207.

[0086] Step S207: taking i as the critical number of batteries.

[0087] In the specific implementation, first, simulation is performed with i=1, that is, it is assumed that the battery swap station is only equipped with one A-type vehicle battery. In chronological order, each battery swap operation of the A-type vehicle battery of the battery swap station is simulated with this A-type vehicle battery, and the corresponding SOC value is recorded. Assume that the A-type vehicle battery set by the battery swap station is bat1. For the first battery swap within the preset cycle, the SOC value of the bat1 when it is replaced on the electric vehicle is SOCon1, and SOCon1=starting SOC+charged power. Among them, for the first battery swap, the starting SOC takes the average starting SOC of the A-type vehicle battery in the city; charged power=(charged power per unit time*(current time-last order creation time-battery swap time), among which the current time is the time when the battery bat1 is installed on the electric vehicle, the battery swap order creation time is the time when the battery swap order is created, and the battery swap time=(battery replacement time-last order creation time)+(battery replacement time-battery replacement time) / 2.

[0088] Then, the replaced A-type vehicle battery is called the replacement of bat1, so it continues to be called bat1. At the end of the first battery replacement, the starting SOC of bat1 is the remaining power of the replaced A-type vehicle battery, which can be obtained according to the battery replacement record. Then, when the second battery replacement operation comes, the battery replacement operation is performed with the current bat1 as the replacement battery, and the replacement SOC value SOCon2 of bat1 when it is replaced on the electric vehicle = starting SOC + charged power. Among them, the charged power = (charged power per unit time * (current time - last order creation time - battery replacement time). And so on, obtain the replacement SOC value SOConj (j∈[1, m], m is the total number of battery replacements of A-type vehicle batteries in the preset period) of bat1 each time it is replaced on the electric vehicle.

[0089] After obtaining SOCconj (j ∈ [1, m]), evaluate the proportion rat1 of the number of times that SOCconj is greater than the preset value among these m battery replacements. This proportion rat1 can represent the satisfaction level that can be achieved when only one A-type vehicle battery is set to complete m battery replacements within the preset cycle.

[0090] Next, simulate with i = 2. That is, assume that there are only 2 A-type vehicle batteries (designated as bat1 and bat2 respectively) set in this battery swapping station. According to the chronological order, simulate each battery swapping operation of the A-type vehicle batteries in this battery swapping station with bat1 and bat2, and record the corresponding SOC values. For each battery swapping operation, select the vehicle battery with the largest amount of electricity according to the battery charging duration and the electricity input per unit time for the current battery swapping. For the first battery swapping within the preset cycle, set bat1 as the vehicle battery with the largest current electricity, and install bat1 onto the electric vehicle. The SOC value when bat1 is installed onto the electric vehicle is SOCon1, and SOCon1 = starting SOC + input electricity. Among them, since this is the first battery swapping operation of bat1, the starting SOC takes the average value of the starting SOC of the A-type vehicle batteries in this city; input electricity = (electricity input per unit time * (current time - previous order creation time - battery swapping duration)), where the current time is the time when battery bat1 is installed onto the electric vehicle, the battery swapping order creation time is the time when the battery swapping order is created, and the battery swapping duration = ((battery removal time - order creation time) + (battery removal time - battery installation time)) / 2.

[0091] Then, the replaced A-type vehicle battery is called the replacement of bat1, so it continues to be called bat1. At the end of the first battery swapping, the starting SOC of bat1 is the remaining electricity of the replaced A-type vehicle battery, which can be obtained according to the battery swapping record.

[0092] Then, when the second battery swapping operation arrives, obtain the current power of bat1. The current power of bat1 = starting SOC + charged power. Here, the starting SOC is the remaining power of the replaced Type A vehicle battery as described above; the charged power = (power charged per unit time * (current time - previous order creation time - battery swapping duration)), where the current time is the time when the battery is installed in the electric vehicle during the second battery swapping operation, the order creation time is the time when the order for the second battery swapping operation is created, and the battery swapping duration = (battery removal time - previous order creation time) + (battery removal time - battery installation time) / 2. Obtain the current power of bat2. The current power of bat2 = starting SOC + charged power. Here, the starting SOC of bat2 takes the average value of the starting SOC of Type A vehicle batteries in this city (because bat2 has not performed a battery swapping operation before); the charged power = (power charged per unit time * (current time - previous order creation time - battery swapping duration)), where the current time is the time when the battery is installed in the electric vehicle during the second battery swapping operation, the order creation time is the time when the order for the second battery swapping operation is created, and the battery swapping duration = (battery removal time - previous order creation time) + (battery removal time - battery installation time) / 2.

[0093] Compare the current power of bat1 with the current power of bat2, and take the higher one of the two (the vehicle battery with the largest power) as the replacement SOC value SOCon2 when replacing it into the electric vehicle, and assume that the corresponding vehicle battery is installed in the electric vehicle (that is, stop simulating charging for this vehicle battery).

[0094] And so on, obtain the current power of bat1 and the current power of bat2 corresponding to each battery swapping, and take the larger one of the two (the vehicle battery with the largest power) as the replacement SOC value SOConj (j ∈ [1, m], where m is the total number of battery swaps of Type A vehicle batteries within this preset period).

[0095] After obtaining SOConj (j ∈ [1, m]), evaluate the proportion rat2 of the number of times that SOConj is greater than the preset value among these m battery swaps. This proportion rat2 can represent the satisfaction level that can be achieved when completing m battery swaps within this preset period with only two Type A vehicle batteries set.

[0096] And so on, gradually increase i to obtain rati. When the obtained rati is greater than or equal to the first threshold, take the value corresponding to i as the critical number of batteries of Type A vehicle batteries.

[0097] Continue to increase i to obtain rati. When the obtained rati is greater than or equal to the second threshold, use the value corresponding to i as the battery saturation quantity of the vehicle battery of model A. The second threshold is greater than the first threshold. As an alternative implementation, the second threshold is 100% and the first threshold is 85%.

[0098] For the battery critical quantity and battery saturation quantity of vehicle batteries of other models, the acquisition method refers to the acquisition method of the battery critical quantity and battery saturation quantity of the vehicle battery of model A.

[0099] Then, in step S3, obtain the battery configuration quantity of the vehicle batteries at this battery swapping station. First, based on the battery critical quantity and battery saturation quantity of each model of vehicle battery, obtain several combination methods of the batteries. Among them, each combination method includes at least two models of batteries. Let the quantity of each model of battery be Nk (k ∈ [1, p], where p is the number of battery models included in this combination method). Nk is not less than the battery critical quantity corresponding to this model of vehicle battery, Nk is not less than the battery saturation quantity corresponding to this model of vehicle battery, and the total quantity of the batteries included in this combination method N < Ns, where Ns is the number of battery compartments at this battery swapping station.

[0100] Next, for each combination method, obtain the first ratio r1 of each model of battery in this combination method. The first ratio r1 = No1 / No2, where No1 is the quantity of the SOC value SOCon when this model of vehicle battery is replaced onto the electric vehicle and is greater than the preset SOC value, and No2 is the total quantity of battery swapping operations performed at this battery swapping station during this preset period.

[0101] Then, obtain the ratio sum R. The ratio sum That is, the sum of the first ratios r1 corresponding to all models of vehicle batteries.

[0102] Finally, use any one of the three combination methods with the largest value of the ratio sum R as the target battery quantity combination of this battery swapping station, and use the quantity of each model of vehicle battery in this target battery quantity combination as the battery configuration quantity of this model of vehicle battery.

[0103] Embodiment 2

[0104] This embodiment provides a method for configuring the quantity of batteries at a battery swapping station. The method for configuring the quantity of batteries at the battery swapping station in this embodiment is substantially the same as the method for configuring the quantity of batteries at the battery swapping station in Embodiment 1. In this embodiment, when obtaining the battery configuration quantity of the vehicle batteries at this battery swapping station, use the available number of battery compartments at this battery swapping station as a constraint condition.

[0105] In specific implementation, first, several combinations of batteries are obtained based on the critical quantity and saturated quantity of each model of vehicle battery. Among them, each combination contains at least two models of batteries. Let the quantity of each model of battery be Nk (k ∈ [1, p], where p is the number of battery models included in this combination). Nk is not less than the critical quantity of the corresponding vehicle battery of this model, Nk is not less than the saturated quantity of the corresponding vehicle battery of this model, and the total quantity of batteries included in this combination N < Np, where Np is the available bin number of this battery swapping station, Np = Ns * (1 - p), Ns is the battery bin number of this battery swapping station, and p is the bin failure probability of this battery swapping station.

[0106] There are usually 2 charging modules in the charger of the bin of the battery swapping station. When one charging module is damaged, the other charging module can still charge. However, assuming that the charging amount and charging duration are uniformly distributed, then when only one charging module is working and the same amount of electricity is charged, the charging duration will increase by 1 time.

[0107] When N < Np, it has no impact on charging the batteries at the station because there are still unused and normal bins (chargers) available. When N is greater than or equal to Np, it has an impact on charging the batteries at the station.

[0108] Suppose there are 28 bins at a certain station and the failure probability is 5%. Then 28 * 5% = 1.4, which is equivalent to 1 bin and 1 charging module in one bin not working properly. At this time, the value of Np is 26.5.

[0109] Next, for each combination, the first ratio r1 of each model of battery in this combination is obtained. The first ratio r1 = No1 / No2, where No1 is the quantity of the SOC value SOCon when this model of vehicle battery is replaced onto the electric vehicle and SOCon is greater than the preset SOC value, and No2 is the total number of battery swaps performed by this battery swapping station within this preset period.

[0110] Then, the ratio sum R is obtained. The ratio sum That is, the sum of the first ratios r1 corresponding to all models of vehicle batteries.

[0111] Finally, any one of the three combinations with the largest value of the ratio sum R is used as the target battery quantity combination of this battery swapping station, and the quantity of each model of vehicle battery in this target battery quantity combination is used as the battery configuration quantity of this model of vehicle battery.

[0112] This embodiment introduces the influence of the probability of bin failure in the battery swapping station on the number of battery configurations, which is closer to the actual operation of the battery swapping station, and the accuracy of the number of battery configurations of this type of vehicle battery obtained is higher. Considering the possibility of battery bin failure, obtaining the number of battery configurations based on the actual available number of bins can improve the accuracy of obtaining the number of battery configurations.

[0113] Embodiment 3

[0114] Figure 3 It is a schematic structural diagram of an electronic device provided in this embodiment. The electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the method for configuring the number of batteries in the battery swapping station according to Embodiment 1 or 2. Figure 3 The displayed electronic device 30 is merely an example and should not impose any limitation on the functions and usage scope of the embodiments of the present invention.

[0115] The electronic device 30 may be presented in the form of a general-purpose computing device. For example, it may be a server device. The components of the electronic device 30 may include, but are not limited to: the at least one processor 31 mentioned above, the at least one memory 32 mentioned above, and a bus 33 connecting different system components (including the memory 32 and the processor 31).

[0116] The bus 33 includes a data bus, an address bus, and a control bus.

[0117] The memory 32 may include volatile memory, such as a random access memory (RAM) 321 and / or a cache memory 322, and may further include a read-only memory (ROM) 323.

[0118] The memory 32 may further include a program / utility 325 having a set (at least one) of program modules 324. Such program modules 324 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data. The implementation of a network environment may be included in each or some combination of these examples.

[0119] The processor 31 executes various functional applications and data processing by running the computer program stored in the memory 32, such as the method for configuring the number of batteries in the battery swapping station according to Embodiment 1 or 2 of the present invention.

[0120] The electronic device 30 can also communicate with one or more external devices 34 (such as a keyboard, a pointing device, etc.). Such communication can be carried out through the input / output (I / O) interface 35. Moreover, the model generation device 30 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN) and / or a public network, such as the Internet) through the network adapter 36. As shown in the figure, the network adapter 36 communicates with other modules of the model generation device 30 through the bus 33. It should be understood that although not shown in the figure, other hardware and / or software modules can be used in combination with the model generation device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (redundant array of independent disks) systems, tape drives, and data backup storage systems, etc.

[0121] It should be noted that although several units / modules or sub-units / modules of the electronic device are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present invention, the features and functions of two or more of the above-described units / modules can be embodied in one unit / modules. Conversely, the features and functions of one unit / modules described above can be further divided and embodied by multiple unit / modules.

[0122] Embodiment 4

[0123] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the configuration method of the number of batteries in the battery swapping station in Embodiment 1 or 2 are implemented.

[0124] Among them, the more specific forms that the readable storage medium can adopt can include but are not limited to: portable disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, optical storage devices, magnetic storage devices, or any suitable combination of the above.

[0125] In a possible implementation manner, the present invention can also be implemented in the form of a program product, which includes program code. When the program product runs on a terminal device, the program code is used to make the terminal device execute the steps of the configuration method of the number of batteries in the battery swapping station in Embodiment 1 or 2.

[0126] Among them, the program code for executing the present invention can be written in any combination of one or more programming languages. The program code can be executed entirely on the user device, partially on the user device, executed as an independent software package, partially on the user device and partially on a remote device, or entirely on a remote device.

[0127] Embodiment 5

[0128] This embodiment provides a configuration system for the number of batteries in a battery swapping station. Refer to Figure 4 , the configuration system for the number of batteries in the battery swapping station includes a first acquisition unit 21, a second acquisition unit 22, and a third acquisition unit 23.

[0129] The first acquisition unit 21 acquires the number of battery compartments in the target battery swapping station and the battery swapping information of the vehicle-mounted battery; when the number of vehicle-mounted batteries takes values under the condition that it does not exceed the number of battery compartments, the second acquisition unit 22 simulates the battery swapping operation based on the battery swapping information to obtain the optimized number of batteries when the state of charge of the vehicle-mounted battery reaches a preset threshold when loaded into the electric vehicle; the third acquisition unit 23 determines the configured number of vehicle-mounted batteries according to the optimized number of batteries.

[0130] Among them, the battery swapping information of the vehicle-mounted battery can be the battery swapping record of the target battery swapping station in history, or the predicted battery swapping information of the vehicle-mounted battery. The predicted battery swapping information can be related to the physical environment where the target battery swapping station is located and the battery swapping user information within a certain range.

[0131] Specifically, when implemented, the first acquisition unit 21 acquires the battery swapping information of the vehicle-mounted battery in the target battery swapping station within a preset period. When the battery swapping information of the vehicle-mounted battery is the battery swapping record of the target battery swapping station, the battery swapping record includes the order creation time, the battery removal time (i.e., the time corresponding to the removed vehicle-mounted battery during this battery swapping operation), the battery installation time (i.e., the time corresponding to the installed vehicle-mounted battery during this battery swapping operation), the SOC of the installed battery (i.e., the remaining power of the installed vehicle-mounted battery when installed during this battery swapping operation), and the SOC of the removed battery (i.e., the remaining power of the removed vehicle-mounted battery when removed during this battery swapping operation).

[0132] The first acquisition unit 21 obtains the charging power per unit time Tu corresponding to each battery swapping operation according to the information of the battery swapping operation in the preset period of the battery swapping station. The charging power per unit time Tu = (ending SOC - starting SOC) / charging duration, where the charging duration is the time length of charging the installed battery before this installation operation, the ending SOC is the remaining power of the installed battery when installed (i.e., the battery installation SOC of the installed battery during the current battery swapping operation), and the starting SOC is the remaining power of the installed battery at the start of charging corresponding to this charging duration (i.e., the battery removal SOC of the installed battery when it was removed last time, which is the starting power at the start of charging of the installed battery).

[0133] The charging duration can be obtained based on the charging records of the battery. If the end SOC is less than the SOC value corresponding to when the vehicle battery is fully charged, the charging duration is the actual charging duration of the vehicle battery; if the end SOC is equal to the SOC value corresponding to when the vehicle battery is fully charged, the charging duration is the charging duration experienced by the vehicle battery at the moment of reaching full charge.

[0134] Then, the first acquisition unit 21 sorts according to the electricity input per unit time records of vehicle batteries of each model in the battery swapping station. Then, the first acquisition unit 21 obtains the average electricity input per unit time. In specific implementation, the average electricity input per unit time is obtained for each model of vehicle battery respectively.

[0135] In an optional implementation manner, the electricity input per unit time of the batteries of this model is summed up, and then divided by the total number of the batteries of this model to obtain the average electricity input per unit time of the batteries of this signal.

[0136] In another optional implementation manner, the batteries of this model are screened according to the electricity input per unit time, the top 10% of the electricity input per unit time records in the batteries of this model are excluded, the top 10% of the electricity input per unit time records in the batteries of this model are excluded from the bottom, and the middle 80% is retained. Then, for the retained 80%, the average value of the electricity input per unit time is obtained as the average electricity input per unit time of the vehicle batteries of this model. In view of the fact that there may be noise data (abnormal data) in the electricity input per unit time of the batteries of this model obtained, the maximum and minimum values are very likely to be noise data. Therefore, the noise data can be excluded by sorting, which can improve the accuracy of the obtained average electricity input per unit time.

[0137] The first acquisition unit 21 obtains the battery swapping duration corresponding to each battery swapping operation. The battery swapping duration = (battery removal time - previous order creation time) + (battery removal time - battery installation time) / 2. The acquisition method of the battery swapping duration here is an optional implementation manner. Those skilled in the art can adopt other methods to obtain the battery swapping duration according to the guidance of this embodiment.

[0138] Next, the second acquisition unit 22 obtains the optimized battery quantity of each model of vehicle battery. The optimized battery quantity includes the critical battery quantity and the saturated battery quantity.

[0139] Taking the vehicle batteries of model A as an example, with the number of vehicle batteries of model A being i (i ∈ [1, n], n is the number of battery compartments in the battery swapping station) blocks successively, the battery swapping and charging operations of type A batteries in the battery swapping station within the preset period are simulated, and the optimized battery quantity of the vehicle batteries of model A in the battery swapping station is evaluated.

[0140] Refer toFigure 2 , the first acquisition unit 21 acquires the battery optimization quantity according to the following steps:

[0141] Step S201: Assign 1 to i.

[0142] Step S202: Use i pieces of vehicle batteries of this model to simulate the battery swapping and charging operations of the vehicle batteries of this model at this battery swapping station within the preset period.

[0143] Step S203: Determine whether the ratio rati is greater than or equal to the first threshold. If not, execute Step S204; if so, execute Step S205.

[0144] Step S204: Increment i by 1, and then return to Step S202.

[0145] Step S205: Use i as the battery critical quantity.

[0146] Step S206: Determine whether the ratio rati is greater than or equal to the second threshold. If not, execute Step S204; if not, execute Step S207.

[0147] Step S207: Use i as the battery critical quantity.

[0148] In specific implementation, first, simulate with i = 1, that is, assume that only 1 piece of vehicle battery of model A is set at this battery swapping station. According to the chronological order, use this one piece of vehicle battery of model A to simulate each battery swapping operation of the vehicle battery of model A at this battery swapping station, and record the corresponding SOC value. Assume that this one piece of vehicle battery of model A set at this battery swapping station is bat1. For the first battery swapping within the preset period, the swapping-in SOC value of bat1 when it is swapped onto the electric vehicle is SOCon1, and SOCon1 = start SOC + charged quantity. Among them, for the first battery swapping, the start SOC takes the average value of the start SOC of the vehicle batteries of model A in this city; the charged quantity = (charged quantity per unit time * (current time - previous order creation time - battery swapping duration)), where the current time is the time when the battery bat1 is installed on the electric vehicle, the battery swapping order creation time is the time when the battery swapping order is created, and the battery swapping duration = (battery removal time - previous order creation time) + (battery removal time - battery swapping-in time) / 2.

[0149] Then, the replaced A-type vehicle battery is called the replacement of bat1, so it continues to be called bat1. At the end of the first battery swap, the starting SOC of bat1 is the remaining power of the replaced A-type vehicle battery, which can be obtained from the battery swap record. Then, when the second battery swap operation arrives, the current bat1 is used as the battery to be installed for the battery swap operation, and the installed SOC value SOCon2 of bat1 when installed in the electric vehicle is SOCon2 = starting SOC + charged power. Among them, the charged power = (charged power per unit time * (current time - previous order creation time - battery swap duration)). By analogy, the installed SOC value SOConj of bat1 when installed in the electric vehicle for each time is obtained (j ∈ [1, m], and m is the total number of battery swaps of the A-type vehicle battery within this preset period).

[0150] After obtaining SOConj (j ∈ [1, m]), evaluate the proportion rat1 of the number of times SOConj is greater than the preset value in these m battery swaps. This proportion rat1 can represent the satisfaction level that can be achieved when completing the m battery swaps within this preset period with only one A-type vehicle battery set.

[0151] Next, simulate with i = 2. That is, assume that only 2 A-type vehicle batteries (designated as bat1 and bat2 respectively) are set in this battery swap station. In chronological order, simulate each battery swap operation of the A-type vehicle battery in this battery swap station with bat1 and bat2, and record the corresponding SOC values. For each battery swap operation, select the vehicle battery with the largest power according to the battery charging duration and the charged power per unit time for the current battery swap. For the first battery swap within this preset period, assume that bat1 is the vehicle battery with the largest current power, and install bat1 in the electric vehicle. The installed SOC value of bat1 when installed in the electric vehicle is SOCon1, and SOCon1 = starting SOC + charged power. Among them, since this is the first battery swap operation of bat1, the starting SOC takes the average value of the starting SOC of the A-type vehicle batteries in this city; the charged power = (charged power per unit time * (current time - previous order creation time - battery swap duration)), where the current time is the time when battery bat1 is installed in the electric vehicle, the battery swap order creation time is the time when the battery swap order is created, and the battery swap duration = ((battery removal time - order creation time) + (battery removal time - battery installation time)) / 2.

[0152] Then, the replaced A-type vehicle battery is called the replacement of bat1, so it continues to be called bat1. At the end of the first battery swap, the starting SOC of bat1 is the remaining power of the replaced A-type vehicle battery, which can be obtained from the battery swap record.

[0153] Then, when the second battery swapping operation arrives, the second acquisition unit 22 acquires the current power of bat1. The current power of bat1 = starting SOC + charged power. Here, the starting SOC is the remaining power of the replaced Type A vehicle battery; the charged power = (power charged per unit time * (current time - previous order creation time - battery swapping duration)), where the current time is the time when the battery is installed in the electric vehicle during the second battery swapping operation, the order creation time is the order creation time of the second battery swapping operation, and the battery swapping duration = (battery removal time - previous order creation time) + (battery removal time - battery installation time) / 2. Acquire the current power of bat2. The current power of bat2 = starting SOC + charged power. Here, the starting SOC of bat2 takes the average value of the starting SOC of Type A vehicle batteries in this city (because bat2 has not performed a battery swapping operation before); the charged power = (power charged per unit time * (current time - previous order creation time - battery swapping duration)), where the current time is the time when the battery is installed in the electric vehicle during the second battery swapping operation, the order creation time is the order creation time of the second battery swapping operation, and the battery swapping duration = (battery removal time - previous order creation time) + (battery removal time - battery installation time) / 2.

[0154] The second acquisition unit 22 compares the current power of bat1 with the current power of bat2, and takes the higher one of the two (the vehicle battery with the largest power) as the replacement SOC value SOCon2 when replacing it into the electric vehicle, and assumes that the corresponding vehicle battery is installed in the electric vehicle (that is, stops simulating charging for this vehicle battery).

[0155] By analogy, the second acquisition unit 22 acquires the current power of bat1 and the current power of bat2 corresponding to each battery swapping, and takes the larger one of the two (the vehicle battery with the largest power) as the replacement SOC value SOConj (j ∈ [1, m], and m is the total number of battery swaps of Type A vehicle batteries within this preset period).

[0156] After acquiring SOConj (j ∈ [1, m]), the second acquisition unit 22 evaluates the proportion rat2 of the number of times that SOConj is greater than the preset value in these m battery swaps. This proportion rat2 can represent the satisfaction level that can be achieved when completing m battery swaps within this preset period with only two Type A vehicle batteries set.

[0157] By analogy, gradually increase i to obtain rati. When the obtained rati is greater than or equal to the first threshold, the second acquisition unit 22 takes the value corresponding to i as the critical number of batteries of Type A vehicle batteries.

[0158] Continue to increase i to obtain rati. When the obtained rati is greater than or equal to the second threshold, the second acquisition unit 22 uses the value corresponding to i as the battery saturation quantity of the vehicle battery of type A. The second threshold is greater than the first threshold. As an alternative implementation, the second threshold is 100% and the first threshold is 85%.

[0159] For the battery critical quantity and battery saturation quantity of vehicle batteries of other models, the acquisition method refers to the acquisition method of the battery critical quantity and battery saturation quantity of the vehicle battery of type A.

[0160] After quantifying the battery replacement service level of the battery replacement station and obtaining the battery critical quantity at which the battery replacement service level of the battery replacement station meets the requirements, continue to obtain the battery saturation quantity at which the battery replacement service level of the battery replacement station reaches the upper limit. Specifically, when the proportion of the number of battery replacement times at which the state of charge of the vehicle battery reaches the preset threshold when loaded into the electric vehicle in the total number of battery replacement times reaches the second threshold, the battery quantity corresponding to the current value of the vehicle battery is obtained as the battery saturation quantity of the vehicle battery. Then, based on the battery critical quantity and battery saturation quantity, the battery quantity of the battery replacement station is reasonably configured, which can not only ensure that the battery replacement service level of the battery replacement station can meet the battery replacement needs of users, but also avoid the waste of resources caused by excessive battery configuration after the battery replacement service level of the battery replacement station reaches the upper limit.

[0161] Then, the third acquisition unit 23 acquires the battery configuration quantity of the vehicle batteries of this battery replacement station. First, the third acquisition unit 23 obtains several combination methods of the batteries based on the battery critical quantity and battery saturation quantity of each model of vehicle battery. Among them, each combination method includes at least two models of batteries. Let the quantity of each model of battery be Nk (k ∈ [1, p], p is the number of battery models included in this combination method). Nk is not less than the battery critical quantity corresponding to this model of vehicle battery, Nk is not less than the battery saturation quantity corresponding to this model of vehicle battery, and the total quantity of the batteries included in this combination method N < Ns, where Ns is the number of battery compartments of this battery replacement station.

[0162] Next, for each combination method, the third acquisition unit 23 acquires the first ratio r1 of each model of battery in this combination method. The first ratio r1 = No1 / No2, where No1 is the quantity of the SOC value SOCon when this model of vehicle battery is replaced onto the electric vehicle and is greater than the preset SOC value, and No2 is the total number of battery replacements performed by this battery replacement station within this preset period.

[0163] Then, the third acquisition unit 23 acquires the ratio sum R, and the ratio sum That is, the sum of the first ratios r1 corresponding to all models of vehicle batteries.

[0164] Finally, the third acquisition unit 23 uses any one of the three combination methods with the largest ratio sum and R value as the target battery quantity combination of the battery swapping station, and uses the quantity of each vehicle-mounted battery in the target battery quantity combination as the battery configuration quantity of the vehicle-mounted battery of this model.

[0165] Embodiment 6

[0166] This embodiment provides a configuration system for the battery quantity of a battery swapping station. The configuration system for the battery quantity of the battery swapping station in this embodiment is substantially the same as that in Embodiment 5. In this embodiment, when obtaining the battery configuration quantity of the vehicle-mounted battery of the battery swapping station, the available berth number of the battery swapping station is used as a constraint condition.

[0167] Specifically in implementation, first, the third acquisition unit 23 obtains several combination methods of the batteries based on the battery critical quantity and battery saturation quantity of each model of vehicle-mounted battery. Among them, each combination method includes at least two models of batteries. Let the quantity of each model of battery be Nk (k ∈ [1, p], p is the number of battery models included in this combination method). Nk is not less than the battery critical quantity corresponding to this model of vehicle-mounted battery, Nk is not less than the battery saturation quantity corresponding to this model of vehicle-mounted battery, and the total quantity of the batteries included in this combination method N < Np, where Np is the available berth number of this battery swapping station, Np = Ns*(1 - p), Ns is the battery berth number of this battery swapping station, and p is the berth failure probability of this battery swapping station.

[0168] There are usually 2 charging modules in the chargers in the berths of the battery swapping station. When a certain charging module is damaged, the other charging module can still charge. However, assuming that the charging amount and charging duration are evenly distributed, then when only one charging module is working and the same amount of electricity is charged, the charging duration will increase by 1 time.

[0169] When N < Np, it has no impact on the charging of the station batteries because there are still unused and normal berths (chargers) available. When N is greater than or equal to Np, it has an impact on the charging of the station batteries.

[0170] Suppose a certain station has a total of 28 berths and the failure probability is 5%. Then 28 * 5% = 1.4, which is equivalent to having 1 berth and 1 charging module in one berth unable to work properly. At this time, the value of Np is 26.5.

[0171] Next, for each combination method, the third acquisition unit 23 obtains the first ratio r1 of each model of battery in this combination method. The first ratio r1 = No1 / No2, where No1 is the quantity of the SOC value SOCon when this model of vehicle-mounted battery is replaced onto an electric vehicle and is greater than the preset SOC value, and No2 is the total number of battery swaps performed by this battery swapping station within this preset period.

[0172] Then, the third obtaining unit 23 obtains the ratio sum R, where the ratio sum is the sum of the first ratios r1 corresponding to the vehicle batteries of all models.

[0173] Finally, the third obtaining unit 23 uses any one of the three combination methods with the largest value of the ratio sum R as the target battery quantity combination of the battery swapping station, and uses the quantity of each vehicle battery in the target battery quantity combination as the battery configuration quantity of the vehicle battery of this model.

[0174] This embodiment introduces the influence of the bin failure probability of the battery swapping station on the battery configuration quantity, which is closer to the actual operation condition of the battery swapping station, and the obtained battery configuration quantity of the vehicle battery of this model is more accurate.

[0175] Although the specific implementation manners of the present invention have been described above, those skilled in the art should understand that this is only an example illustration, and the protection scope of the present invention is defined by the appended claims. Without departing from the principles and essence of the present invention, those skilled in the art can make various changes or modifications to these implementation manners, but these changes and modifications all fall within the protection scope of the present invention.

Claims

1. A method for configuring the number of batteries in a battery swapping station, characterized in that, The method includes the following steps: Obtain the number of battery positions in the target battery swapping station and the battery swapping information of vehicle-mounted batteries; When the number of vehicle-mounted batteries is respectively taken under the condition that it does not exceed the number of battery positions, simulate the battery swapping operation based on the battery swapping information to obtain the optimized number of batteries when the state of charge of the vehicle-mounted batteries reaches a preset threshold when loaded onto an electric vehicle, and the optimized number of batteries includes the critical number of batteries; The step of when the number of vehicle-mounted batteries is respectively taken under the condition that it does not exceed the number of battery positions, simulating the battery swapping operation based on the battery swapping information to obtain the optimized number of batteries when the state of charge of the vehicle-mounted batteries reaches a preset threshold when loaded onto an electric vehicle includes: When the proportion of the number of battery swapping times when the state of charge of the vehicle-mounted batteries reaches the preset threshold when loaded onto an electric vehicle in the total number of battery swapping times reaches a first threshold, obtain the current number of batteries taken as the critical number of batteries of the vehicle-mounted batteries; Determine the configured number of batteries of the vehicle-mounted batteries according to the optimized number of batteries; 2. The method for configuring the number of batteries in a battery swapping station according to claim 1, wherein The obtaining the number of battery positions in the target battery swapping station and the battery swapping information of vehicle-mounted batteries includes: Obtain the number of battery positions in the target battery swapping station and the battery swapping information of vehicle-mounted batteries of various models; For each model of the vehicle-mounted batteries, respectively execute the step of when the number of vehicle-mounted batteries is respectively taken under the condition that it does not exceed the number of battery positions, simulating the battery swapping operation based on the battery swapping information to obtain the optimized number of batteries when the state of charge of the vehicle-mounted batteries reaches a preset threshold when loaded onto an electric vehicle; The determining the configured number of batteries of the vehicle-mounted batteries according to the optimized number of batteries includes: Determine the configured number of batteries of each model of the vehicle-mounted batteries according to the number of battery positions and the optimized number of batteries of each model of the vehicle-mounted batteries; 3. The method for configuring the number of batteries in a battery swapping station according to claim 2, wherein, The determining the configured number of batteries of each model of the vehicle-mounted batteries according to the number of battery positions and the optimized number of batteries of each model of the vehicle-mounted batteries includes: Generate all optional combinations of the number of batteries of each model of vehicle-mounted batteries in the target battery swapping station, where the number of batteries of each model of vehicle-mounted batteries in the optional combination of the number of batteries is not less than the critical number of batteries of the vehicle-mounted batteries, and the sum of the number of batteries of each model of vehicle-mounted batteries in the optional combination of the number of batteries does not exceed the number of battery positions; For each optional combination of the number of batteries, obtain the proportion of the number of battery swapping times when the state of charge of each model of vehicle-mounted batteries reaches the preset threshold when loaded onto an electric vehicle in the total number of battery swapping times of the model of vehicle-mounted batteries; Select a target combination of the number of batteries according to the proportion, and use the number of batteries of each model of vehicle-mounted batteries in the target combination of the number of batteries as the configured number of batteries of the corresponding model; 4. The method for configuring the number of batteries in a battery swapping station according to claim 3, wherein The optimized number of batteries further includes the saturated number of batteries; the method for configuring the number of batteries in the battery swapping station further includes: When the proportion of the number of battery replacements when the state of charge of the vehicle battery reaches a preset threshold when the vehicle battery is loaded into an electric vehicle accounts for the total number of battery replacements reaches a second threshold, obtain the current value of the number of vehicle batteries as the battery saturation number of the vehicle battery; the number of vehicle batteries of each model in the optional battery number combination is not greater than the battery saturation number of the vehicle battery.

5. The method for configuring the number of batteries in a battery swapping station according to claim 1, characterized in that The battery replacement information of the vehicle battery is the battery replacement record of the target battery replacement station, and the battery replacement record includes the order creation time, the battery removal time, the battery installation time, the SOC of the installed battery, and the SOC of the removed battery; in the battery replacement operation, the vehicle battery with the largest power is selected for the current battery replacement according to the battery charging duration and the power input per unit time; the battery charging duration is related to the current time, the order creation time, and the battery replacement duration, and the battery replacement duration is related to the order creation time, the battery removal time, and the battery installation time; the power input per unit time is related to the SOC of the installed battery and the SOC of the removed battery.

6. The method for configuring the number of batteries in a battery swapping station according to claim 5, wherein When simulating the battery replacement operation, when the value of the number of vehicle batteries reaches the available bin number, select the vehicle battery with the largest power for the current battery replacement according to the available bin number, the battery charging duration, and the power input per unit time; the available bin number is related to the number of battery bins and the bin failure probability.

7. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that When the processor executes the computer program, it implements the method for configuring the number of batteries in the battery replacement station according to any one of claims 1-6.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for configuring the number of batteries in the battery replacement station according to any one of claims 1-6.

9. A configuration system for the number of batteries in a battery swapping station, characterized in that, Including a first acquisition unit, a second acquisition unit, and a third acquisition unit; The first acquisition unit is used to acquire the number of battery bins of the target battery replacement station and the battery replacement information of the vehicle battery; The second acquisition unit is used to respectively simulate the battery replacement operation based on the battery replacement information when the value of the number of vehicle batteries does not exceed the number of battery bins, so as to obtain the optimized battery number when the state of charge of the vehicle battery reaches a preset threshold when the vehicle battery is loaded into an electric vehicle, and the optimized battery number includes the critical battery number; The second acquisition unit is further used to respectively simulate the battery replacement operation based on the battery replacement information when the value of the number of vehicle batteries does not exceed the number of battery bins. When the proportion of the number of battery replacements when the state of charge of the vehicle battery reaches a preset threshold when the vehicle battery is loaded into an electric vehicle accounts for the total number of battery replacements reaches a first threshold, the second acquisition unit is used to acquire the current value of the number of vehicle batteries as the critical battery number of the vehicle battery; The third acquisition unit is used to determine the battery configuration number of the vehicle battery according to the optimized battery number.

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