A device monitoring method for the operation and maintenance of a battery swapping system

Abstract

The present invention relates to the technical field of equipment monitoring, and specifically discloses an equipment monitoring method for the operation and maintenance of a battery swapping system. The method includes: S1: Obtain the number of equipment maintenance times within a sampling period, calculate the average interval date, obtain the number of battery charging times and the number of charging devices, and calculate the average number; S2: Set monitoring nodes, and screen first-level equipment according to the number of charging times; S3: Calculate the charging efficiency of the charging devices, and calculate the utilization factor of the charging devices, screen out the charging devices that meet the requirements and mark them as second-level equipment, and select third-level equipment from them; S4: Calculate the equipment maintenance factor of the charging station, update the monitoring period and reset the monitoring nodes. The present invention provides a solution for the maintenance of charging devices, which can dynamically adjust the maintenance frequency of charging devices according to the aging condition of the charging devices, and solves the problems of reduced charging speed and decreased resource utilization rate caused by the aging of charging devices.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment monitoring, and particularly relates to an equipment monitoring method for the operation and maintenance of a battery swapping system. Background Art

[0002] A battery swapping system refers to a mode in which a large number of batteries are centrally stored, charged, and uniformly distributed through a centralized charging station, and battery replacement services are provided for electric vehicles in a battery swapping station.

[0003] The battery swapping system charges and distributes batteries through a centralized charging station, and provides battery replacement services for electric vehicles in the battery swapping station. The centralized charging station provides energy for the batteries, and the battery swapping station is responsible for replacing the batteries and collecting low-power batteries and sending them to the centralized charging station for charging. As the usage time increases, the battery charging equipment will gradually age. The aging of the charging equipment will not only cause the charging speed to slow down, but also may cause overcharging or over-discharging of the batteries during charging, which is not conducive to the health of the batteries, and there may be potential safety hazards due to the aging of the charging equipment.

[0004] In the prior art, when the charging equipment ages, it is necessary to apply for staff to perform equipment maintenance to reduce the impact brought by the aging of the charging equipment. However, there is no standard for judging the aging degree of the charging equipment, and the staff performs maintenance on the charging equipment according to the specified cycle. If the cycle is set too small, the maintenance frequency is too high, which not only has a low effect, but also wastes a great deal of manpower and material resources. If the cycle is set too large, the aging charging equipment cannot be maintained in time. Therefore, there is an urgent need for a method to detect the aging of the charging equipment and adjust the maintenance cycle of the charging equipment according to the aging situation of the equipment to ensure that the charging equipment is maintained, so as to improve the battery charging efficiency, accelerate the charging speed, and reduce the waste of human and material resources. Summary of the Invention

[0005] The purpose of the present invention is to provide an equipment monitoring method for the operation and maintenance of a battery swapping system to solve the above technical problems:

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] An equipment monitoring method for the operation and maintenance of a battery swapping system includes the following steps:

[0008] S1: Obtain the number I of times of maintenance of the charging equipment in the charging station within the preset sampling period Ts, obtain the date Di of the i-th maintenance of the charging equipment, and calculate the average interval date of maintenance of the charging equipment in the charging station

[0009] Obtain the date range [Di, Di +1The number of times Ni that the in-station charger charges the battery and the number M of charging devices in the charging station are used to calculate the average workload NWave = Nave / M, where Nave is the average number of times.

[0010]

[0011] S2: Record the number of charging times NR of the charging devices within the preset monitoring period T, and mark the charging devices with the number of charging times NR greater than or equal to the preset standard number of charging times NRsta as first-level devices.

[0012] S3: Obtain the total charging duration tm of the m-th charging device for charging the battery within the monitoring period T, and calculate the charging efficiency of the m-th charging device. where W represents the energy required to fully charge the battery, and P represents the rated power of the charging device.

[0013] Calculate the utilization factor of the m-th charging device. where γ is a preset first adjustment coefficient, and NRm represents the number of charging times of the m-th charging device.

[0014] Select the charging devices with the utilization factor Xm ≥ Xsta and mark them as second-level devices, and mark the charging devices that are simultaneously marked as first-level and second-level devices as third-level devices, where Xsta represents the preset standard utilization factor.

[0015] S4: The numbers of first-level, second-level, and third-level devices in the charging station are M1, M2, and M3 respectively, and calculate the equipment maintenance factor of the charging station. where λ1, λ2, and λ3 are preset first, second, and third equipment maintenance adjustment values, and λ1 < λ2 < λ3.

[0016] At the end of the current monitoring period, the charging station requests the staff to perform maintenance on the charging devices, and updates the monitoring period T, making Reset the monitoring nodes with the updated monitoring period T and start the next monitoring period, where η is a preset period adjustment coefficient.

[0017] As a further solution of the present invention: In the step S1, when setting the sampling period Ts, ensure that the number of times I of charging device maintenance within the sampling period Ts is not less than Imin times, where Imin is the preset minimum number of maintenance times.

[0018] As a further solution of the present invention: In the step S1, calculate the date difference ΔDi = Di +1 - Di, if ΔDi < Dmin, merge the date interval [Di, Di +1 with the date interval [Di +1 , Di +2 into the date interval [Di, Di+2 , where Dmin represents the preset minimum date difference.

[0019] As a further solution of the present invention: in the step S3, the method for calculating the energy W required to fully charge the battery specifically includes:

[0020] Obtain the rated capacity Cn and rated voltage Un of the nth battery, and calculate the energy of the battery Wn = 3600 * Cn * Un;

[0021] Obtain the remaining energy Wn_remain when the nth battery starts charging, calculate the energy gap Wn_need = Wn - Wn_remain, and calculate the energy required to fully charge the battery

[0022] As a further solution of the present invention: in the step S4, obtain the equipment maintenance coefficient WH:

[0023] When 0 < WH < Z, mark the overall aging condition of the charging equipment in the charging station as slightly aged;

[0024] When WH ≥ Z, mark the overall aging condition of the charging equipment in the charging station as severely aged;

[0025] Where Z is a preset judgment threshold.

[0026] As a further solution of the present invention: in the step S3, if the charging efficiency Km of the mth charging equipment ≤ 65%, stop the subsequent calculation steps and mark the mth charging equipment as a third-level equipment.

[0027] As a further solution of the present invention: in the step S4, if M - M1 - M2 - M3 = 0, let the equipment maintenance coefficient WH = λ1 * M1 + λ2 * M2 + λ3 * M3.

[0028] As a further solution of the present invention: in the step S4, if M1 + M2 + M3 = 0, let the monitoring period T = 2T.

[0029] The beneficial effects of the present invention: In the present invention, first obtain the maintenance times and maintenance dates of the charging equipment in the charging station, calculate the average maintenance days of the charging equipment, and the historical maintenance frequency of the equipment can be judged according to the average maintenance days of the charging equipment.

[0030] Then calculate the average number Nave. Here, the average number Nave represents how many batteries the charging equipment can continue to charge after each maintenance of the charging equipment. The higher the value of the average number, the better the maintenance effect.

[0031] Obtain the number of charging times of the charging device within the preset monitoring period T. If the number of maintenance times of the charging devices in the charging station is relatively large in the historical records, the smaller the value of the monitoring period at this time, the faster the frequency of obtaining information. First, screen according to the number of charging times of each charging device and select the first-level devices. When the working times of the charging device reach a certain limit, its working efficiency will decrease, so it is marked as a first-level device at this time.

[0032] The aging of the charging device will lead to a decrease in the charging efficiency. Therefore, the charging efficiency is an important feature reflecting the aging degree of the charging device. The lower the charging efficiency, the higher the aging degree of the charging device. Calculate the usage coefficient of each charging device through a formula. It can be seen from the formula that since the value of the charging efficiency Km is greater than 0 and less than 1, γ / Km > γ, and the larger the value of the charging efficiency Km, the smaller the growth rate of the usage coefficient Xm. The larger the usage coefficient, the worse the state of the charging device. Then, screen according to the size of the usage coefficient of each charging device, mark the charging devices with the usage coefficient Xm ≥ Xsta as second-level devices and select third-level devices from them.

[0033] Next, calculate the maintenance coefficient WH of the charging station, and set the weight ratios for the first-level, second-level, and third-level devices respectively. Since the aging problem of the third-level devices is more serious, the weight ratio of the third-level devices is the highest. Similarly, the second-level devices are the second, and the first-level devices are the lowest. Calculate the device maintenance coefficient WH through a formula. The higher the value of the device maintenance coefficient, the more the devices in the charging station need to be maintained.

[0034] Finally, update the value of the monitoring period according to the maintenance coefficient. The larger the value of the maintenance period, the smaller the value of the updated monitoring period, which improves the maintenance frequency of the charging device. When the updated monitoring period T is too small, resulting in too high a maintenance frequency of the charging device, a warning needs to be given at this time to inform the staff that the usage intensity of the charging device is too large and they need to pay attention to its use to avoid irreversible damage to the charging device.

[0035] In summary, the present invention provides a solution for maintaining a charging device, which can dynamically adjust the maintenance frequency of the charging device according to the aging condition of the charging device, and solves the problems of reduced charging speed and decreased resource utilization rate caused by the aging of the charging device. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The present invention will be further described below with reference to the accompanying drawings.

[0037] Figure 1 It is a schematic flowchart of a device monitoring method for the operation and maintenance of a battery swapping system according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0039] Please refer to Figure 1 As shown, the present invention is a device monitoring method for the operation and maintenance of a battery swapping system, including the following steps:

[0040] S1: Obtain the number of times I that the charging equipment in the charging station is maintained within the preset sampling period Ts, obtain the date Di of the i-th maintenance of the charging equipment, and calculate the average interval date of the maintenance of the charging equipment in the charging station

[0041] Obtain the number of times Ni that the charging station charges the battery within the date range [Di, Di +1 and the number M of charging equipment in the charging station, and calculate the average workload NWave = Nave / M, where the average number

[0042]

[0043] S2: Record the number of charging times NR of the charging equipment within the preset monitoring period T, and mark the charging equipment with the number of charging times NR greater than or equal to the preset standard number of charging times NRsta as first-level equipment;

[0044] S3: Obtain the total charging duration tm of the m-th charging equipment for charging the battery within the monitoring period T, and calculate the charging efficiency of the m-th charging equipment where W represents the energy required to fully charge the battery, and P represents the rated power of the charging equipment;

[0045] Calculate the utilization factor of the m-th charging equipment where γ is a preset first adjustment coefficient, and NRm represents the number of charging times of the m-th charging equipment;

[0046] Screen out the charging equipment with the utilization factor Xm ≥ Xsta and mark it as second-level equipment, and mark the charging equipment that is simultaneously marked as first-level equipment and second-level equipment as third-level equipment, where Xsta represents the preset standard utilization factor;

[0047] S4: The numbers of first-level, second-level, and third-level equipment in the charging station are M1, M2, and M3 respectively, and calculate the equipment maintenance factor of the charging station where λ1, λ2, and λ3 are preset first, second, and third equipment maintenance adjustment values, and λ1 < λ2 < λ3;

[0048] When the current monitoring period ends, the charging station requests the staff to perform maintenance on the charging equipment and updates the monitoring period T, such that reset the monitoring nodes with the updated monitoring period T and start the next monitoring period, where η is a preset period adjustment coefficient.

[0049] It should be noted that first, obtain the maintenance times and maintenance dates of the charging equipment in the charging station, calculate the average maintenance days of the charging equipment, and based on the average maintenance days of the charging equipment, the historical maintenance frequency of the equipment can be judged.

[0050] Then calculate the average number Nave. Here, the average number Nave represents how many batteries the charging equipment can continue to charge after each maintenance of the charging equipment. The higher the value of the average number, the better the maintenance effect.

[0051] Obtain the charging times of the charging equipment within the preset monitoring period T. If the number of maintenance times of the charging equipment in the charging station in the historical record is large, then at this time, the smaller the value of the monitoring period, the faster the frequency of obtaining information. First, screen according to the charging times of each charging equipment and select the first-level equipment. When the working times of the charging equipment reach a certain limit, its working efficiency will decrease, so at this time, it is marked as the first-level equipment.

[0052] The aging of the charging equipment will lead to a decrease in the charging efficiency. Therefore, the charging efficiency is an important feature reflecting the aging degree of the charging equipment. The lower the charging efficiency, the higher the aging degree of the charging equipment. Calculate the usage coefficient Xm of each charging equipment through a formula. It can be seen from the formula that since the value of the charging efficiency Km is greater than 0 and less than 1, so γ / Km > γ, and the larger the value of the charging efficiency Km, the smaller the growth rate of the usage coefficient Xm. The larger the usage coefficient, the worse the state of the charging equipment. And screen according to the size of the usage coefficient Xm of each charging equipment, mark the charging equipment with Xm≥Xsta as the second-level equipment and select the third-level equipment from them.

[0053] Next, calculate the maintenance coefficient WH of the charging station, set the weight ratios for the first-level, second-level, and third-level equipment respectively. Since the aging problem of the third-level equipment is more serious, the weight ratio of the third-level equipment is the highest. Similarly, the second-level equipment is the second, and the first-level equipment is the lowest. Calculate the equipment maintenance coefficient WH through a formula. The higher the value of the equipment maintenance coefficient, the more the equipment in the charging station needs maintenance.

[0054] Finally, update the value of the monitoring period according to the maintenance coefficient. The larger the value of the maintenance period, the smaller the value of the updated monitoring period, which improves the maintenance frequency of the charging device. When the updated monitoring period T is too small, resulting in too high a maintenance frequency of the charging device, a warning needs to be issued at this time to inform the staff that the usage intensity of the charging device is too high and they need to pay attention to the usage to avoid irreversible damage to the charging device.

[0055] In another preferred embodiment of the present invention, when setting the sampling period Ts, ensure that the number of times I of maintaining the charging device within the sampling period Ts is not less than Imin times, where Imin is the preset minimum number of maintenance times.

[0056] It should be noted that when setting the sampling period, it is necessary to ensure that the number of times of maintaining the charging device in the acquisition period meets the requirements. If the sampling period is set too short, resulting in too little data obtained, it will lead to a large error in the calculation result, which is not conducive to the maintenance of the charging device.

[0057] In another preferred embodiment of the present invention, calculate the date difference ΔDi = Di +1 - Di. If ΔDi < Dmin, merge the date interval [Di, Di +1 with the date interval [Di +1 , Di +2 into the date interval [Di, Di +2 , where Dmin represents the preset minimum date difference.

[0058] It can be understood that if the time interval between two maintenance operations of the charging device is short, they will be merged into a short item to simplify subsequent calculations.

[0059] In another preferred embodiment of the present invention, the method for calculating the energy W required to fully charge the battery specifically includes:

[0060] Obtain the rated capacity Cn and rated voltage Un of the nth battery, and calculate the energy of the battery Wn = 3600 * Cn * Un;

[0061] Obtain the remaining energy Wn_remain when the nth battery starts charging, calculate the energy gap Wn_need = Wn - Wn_remain, and calculate the energy required to fully charge the battery

[0062] It should be noted that since the remaining power of different batteries when starting charging is different, it is necessary to calculate the energy required to fully charge the battery according to the remaining power when the battery starts charging.

[0063] Moreover, without considering the significant decrease in battery capacity caused by battery aging, the aging battery will be promptly monitored and replaced by the battery swapping system. For batteries with a relatively small decrease in battery capacity, the resulting error can be negligible. Therefore, the error caused by battery aging is not within the scope of consideration of the present invention.

[0064] Among them, the remaining energy Wn_remain of the battery can be calculated by the energy of the battery and the percentage of the remaining power. Through this method, the energy required to fully charge the battery can be calculated more accurately.

[0065] In another preferred embodiment of the present invention, the equipment maintenance coefficient WH is obtained:

[0066] When 0 < WH < Z, the overall aging condition of the charging equipment in the charging station is marked as slightly aged;

[0067] When WH ≥ Z, the overall aging condition of the charging equipment in the charging station is marked as severely aged;

[0068] Among them, Z is a preset judgment threshold.

[0069] It should be noted that the aging condition of the charging equipment in the charging station is judged according to the equipment maintenance coefficient WH. Since the larger the value of the maintenance coefficient WH, the smaller the updated monitoring period. Therefore, the larger the value of the maintenance coefficient, the more serious the aging problem of the charging equipment in the charging station.

[0070] In another preferred embodiment of the present invention, if the charging efficiency Km of the mth charging equipment ≤ 65%, stop the subsequent calculation steps and mark the mth charging equipment as a third-level equipment.

[0071] It can be understood that if the calculated charging efficiency of a certain charging equipment is lower than 65%, it indicates that the aging problem of the charging equipment is serious. Therefore, directly mark the charging equipment as a third-level equipment and stop the subsequent calculation of the charging equipment. This processing can reduce the calculation amount.

[0072] In another preferred embodiment of the present invention, if M - M1 - M2 - M3 = 0, stop the calculation steps and let the equipment maintenance coefficient WH = λ1 * M1 + λ2 * M2 + λ3 * M3.

[0073] It is worth noting that if M - M1 - M2 - M3 = 0, it means that the interval between the maintenance of the charging equipment is too long, resulting in different degrees of aging problems in the charging equipment. At this time, it is necessary to reduce the monitoring period and increase the frequency of charging equipment maintenance.

[0074] In another preferred embodiment of the present invention, if M1 + M2 + M3 = 0, stop the subsequent steps and let the monitoring period T = 2T.

[0075] It should be noted that if M1 + M2 + M3 = 0, it indicates that no charging device has aged during the monitoring period, which means that the maintenance frequency of the charging device is too high. Therefore, in order to reduce the consumption of human and material resources and avoid unnecessary waste, it is necessary to increase the monitoring period and reduce the maintenance frequency of the charging device at this time, so as to achieve the purpose of saving resources.

[0076] The above has described an embodiment of the present invention in detail, but the content described is only the preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. A device monitoring method for operation and maintenance of a battery swapping system, characterized in that, It includes the following steps: S1: Obtain the preset sampling period T s The number of times I of maintaining the charging equipment in the in-station charging station, and obtain the date D of the i-th maintenance of the charging equipment i , and calculate the average interval date of maintaining the charging equipment in the charging station Obtain the number of times N that the charging station charges the battery within the date range [D i , D i+1 , and the number M of charging devices in the charging station, and calculate the average workload NW i = N ave / M, where the average number of times ave ​ S2: Record the number of charging times NR of the charging device within the preset monitoring period T, and mark the charging device with the number of charging times NR greater than or equal to the preset standard number of charging times NR sta as a first-level device; S3: Obtain the total charging duration t of the m-th charging device for charging the battery within the monitoring period T m , and calculate the charging efficiency of the m-th charging device where W represents the energy required to fully charge the battery, and P represents the rated power of the charging device; Calculate the utilization factor of the m-th charging device where γ is a preset first adjustment coefficient, NR m represents the number of charging times of the m-th charging device; Screen out the utilization factor X m ≥X sta of the charging devices and mark them as secondary devices. Mark the charging devices that are simultaneously marked as primary devices and secondary devices as tertiary devices, where X sta represents a preset standard utilization factor; S4: The numbers of first-level, second-level, and third-level devices in the charging station are M1, M2, and M3 respectively, and calculate the equipment maintenance coefficient of the charging station. Where λ1, λ2, and λ3 are preset first, second, and third equipment maintenance adjustment values, and λ1 < λ2 < λ3; When the current monitoring cycle ends, the charging station requests the staff to perform maintenance on the charging equipment and updates the monitoring cycle T, so that reset the monitoring nodes with the updated monitoring cycle T and start the next monitoring cycle, where η is a preset cycle adjustment coefficient.

2. The device monitoring method for operation and maintenance of the battery swapping system according to claim 1, wherein, In the described step S1, a sampling period T is set s such that, when the sampling period T is s set, the number of times I that the charging device is maintained within the sampling period T is not less than I min times, where I min is a preset minimum number of maintenance times.

3. The device monitoring method for operation and maintenance of a battery swapping system according to claim 1, characterized in that, In the said step S1, calculate the date difference ΔD i = D i+1 - D i , if ΔD i < D min , merge the date range [D i , D i+1 and the date range [D i+1 , D i+2 into the date range [D i , D i+2 , where D min represents the preset minimum date difference.

4. The device monitoring method for the operation and maintenance of the battery swapping system according to claim 1, wherein, In the step S3, the method for calculating the energy W required to fully charge the battery specifically includes: Obtain the rated capacity C of the nth battery n , rated voltage U n , calculate the energy W of the battery n = 3600 * C n * U n ; Obtain the remaining energy W when the nth battery starts charging n_remain , calculate the energy gap W n_need = W n - W n_remain , calculate the energy required to fully charge the battery 5. The device monitoring method for the operation and maintenance of the battery swapping system according to claim 1, characterized in that, In the step S4, obtain the equipment maintenance coefficient WH: When 0 < WH < Z, mark the overall aging condition of the charging equipment in the charging station as slightly aged; When WH ≥ Z, mark the overall aging condition of the charging equipment in the charging station as severely aged; Among them, Z is a preset judgment threshold.

6. The device monitoring method for the operation and maintenance of the battery swapping system according to claim 1, characterized in that, In the step S3, if the charging efficiency Km of the m-th charging equipment ≤ 65%, stop the subsequent calculation steps and mark the m-th charging equipment as a third-level equipment.

7. A device monitoring method for the operation and maintenance of an electricity replacement system according to claim 1, characterized in that In the step S4, if M - M1 - M2 - M3 = 0, let the equipment maintenance coefficient WH = λ1 * M1 + λ2 * M2 + λ3 * M3.

8. The device monitoring method for the operation and maintenance of the battery swapping system according to claim 1, wherein, In the step S4, if M1 + M2 + M3 = 0, let the monitoring period T = 2T.

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