Equipment monitoring method for operation and maintenance of battery replacement system

Abstract

The invention relates to the technical field of equipment monitoring, and particularly discloses an equipment monitoring method for operation and maintenance of a battery replacement system, and the method comprises the steps: S1, obtaining the number of times of equipment maintenance in a sampling period, calculating an average interval date, obtaining the number of times of battery charging and the number of charging equipment, and calculating the average number of times; s2, monitoring nodes are set, and first-level equipment is screened according to the number of times of charging; s3, calculating the charging efficiency of the charging equipment, calculating the use coefficient of the charging equipment, screening out the charging equipment meeting the requirements, marking the charging equipment as second-level equipment, and selecting third-level equipment from the second-level equipment; and S4, calculating the equipment maintenance coefficient of the charging station, updating the monitoring period and resetting the monitoring node. The invention provides a scheme for maintaining the charging equipment, the maintenance frequency of the charging equipment can be dynamically adjusted according to the aging condition of the charging equipment, and the problems that the charging speed is reduced and the resource utilization rate is reduced due to aging of the charging equipment are solved.

Description

Technical Field

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

[0002] The battery swap system refers to a model in which a large number of batteries are centrally stored, charged, and uniformly distributed through centralized charging stations, and battery replacement services are provided for electric vehicles at the battery swap stations.

[0003] The battery swap system charges and distributes batteries through centralized charging stations, and provides battery swap services for electric vehicles at the battery swap stations. Centralized charging stations provide energy for batteries, and battery swap stations are responsible for replacing batteries and collecting low-power batteries to be sent to centralized charging stations for charging. As the use time increases, the battery charging equipment will gradually age. The aging of charging equipment will not only slow down the charging speed, but may also cause the battery to overcharge or over-discharge during charging, which is not conducive to the health of the battery, and the aging of charging equipment may pose a safety hazard.

[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 of the aging of the charging equipment. However, there is a lack of standards for how to judge the aging degree of the charging equipment, and the staff performs charging equipment maintenance according to the prescribed cycle. If the cycle is set too small, the maintenance frequency is too high, which not only has a low effect, but also greatly wastes manpower and material resources. If the cycle is set too large, the aged 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 of the equipment to ensure that the charging equipment is maintained, thereby improving the battery charging efficiency, accelerating the charging speed, and reducing the waste of human and material resources. Summary of the invention

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

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

[0007] A device monitoring method for battery swap system operation and maintenance, comprising the following steps:

[0008] 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 ith maintenance of the charging equipment, and calculate the average interval date of the maintenance of the charging equipment in the charging station

[0009] Get the date range [Di, Di +1] The number of times Ni that the charging station charges the battery and the number of charging devices in the charging station M, calculate the average workload NWave = Nave / M, where the average number of times

[0010]

[0011] S2: Record the number of charging times NR of the charging device within a preset monitoring period T, and mark the charging device whose number of charging times NR is greater than or equal to the preset standard number of charging times NRsta as a first-level device;

[0012] S3: Obtain the total time tm that the mth charging device charges the battery within the monitoring period T, and calculate the charging efficiency of the mth charging device Among them, W represents the energy required to fully charge the battery, and P represents the rated power of the charging equipment;

[0013] Calculate the usage factor of the mth charging device Wherein γ is the preset first adjustment coefficient, and NRm represents the number of times the mth charging device is charged;

[0014] Screen out charging devices with a usage coefficient Xm≥Xsta and mark them as level 2 devices, and mark charging devices marked as both level 1 devices and level 2 devices as level 3 devices, where Xsta represents a preset standard usage coefficient;

[0015] S4: The number of primary, secondary and tertiary equipment in the charging station is M1, M2 and M3 respectively. Calculate the equipment maintenance coefficient of the charging station Wherein λ1, λ2, λ3 are preset first, second, and third equipment maintenance adjustment values, and λ1<λ2<λ3;

[0016] At the end of the current monitoring cycle, the charging station requests the staff to perform charging equipment maintenance and update the monitoring cycle T. The monitoring nodes are reset with the updated monitoring period T to start the next monitoring period, where η is the 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 equipment maintenance within the sampling period Ts is not less than Imin times, wherein Imin is the preset minimum number of maintenance times.

[0018] As a further solution of the present invention: in step S1, the date difference ΔDi=Di is calculated +1 -Di, if ΔDi<Dmin, the date interval [Di, Di +1 ] and date interval [Di +1 ,Di +2 ] is merged 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 step S3, the method for calculating the energy W required to fully charge the battery specifically includes:

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

[0021] Get 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, the equipment maintenance coefficient WH is obtained:

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

[0024] When WH≥Z, the overall aging of the charging equipment in the charging station is marked as severe aging;

[0025] Wherein, Z is the preset judgment threshold.

[0026] As a further solution of the present invention: in the step S3, if the charging efficiency Km of the m-th charging device is ≤ 65%, the subsequent calculation steps are stopped and the m-th charging device is marked as a level 3 device.

[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, the monitoring period T=2T.

[0029] Beneficial effects of the present invention: In the present invention, the maintenance times and maintenance dates of the charging equipment in the charging station are firstly obtained, and the average maintenance days of the charging equipment are calculated. The historical maintenance frequency of the equipment can be determined according to the average maintenance days of the charging equipment.

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

[0031] Get the charging times of the charging equipment within the preset monitoring period T. If the charging station charging equipment has been maintained for a large number of times in the historical records, the smaller the value of the monitoring period is, the faster the frequency of obtaining information is. First, filter according to the charging times of each charging device and filter out the first-level equipment. When the working times of the charging equipment reaches a certain limit, its working efficiency will be reduced, so it will be marked as a first-level device at this time.

[0032] The aging of charging equipment will lead to reduced charging efficiency. Therefore, charging efficiency is an important feature that reflects the aging degree of charging equipment. The lower the charging efficiency, the higher the aging degree of the charging equipment. The usage coefficient of each charging device is calculated by the 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, and the larger the usage coefficient, the worse the state of the charging equipment. According to the size of the usage coefficient of each charging device, screening is performed, and the charging equipment with a usage coefficient Xm≥Xsta is marked as a secondary device and the tertiary device is screened out.

[0033] Next, calculate the maintenance coefficient WH of the charging station, and set weights for the first-level, second-level, and third-level equipment respectively. Since the aging problem of third-level equipment is more serious, the weight of third-level equipment is the highest. Similarly, second-level equipment is second, and first-level equipment is the lowest. The equipment maintenance coefficient WH is calculated through the formula. The higher the value of the equipment maintenance coefficient, the more the equipment in the charging station needs maintenance.

[0034] Finally, the value of the monitoring cycle is updated according to the maintenance coefficient. The larger the value of the maintenance cycle, the smaller the value of the monitoring cycle after the update, which increases the frequency of charging equipment maintenance. When the updated monitoring cycle T is too small, resulting in too high a maintenance frequency of the charging equipment, an early warning is required to inform the staff that the charging equipment is used too intensively and that they need to be careful when using it to avoid irreversible damage to the charging equipment.

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

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

[0037] Figure 1 It is a flow chart of an equipment monitoring method for operation and maintenance of a battery swapping system according to the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] See also Figure 1 As shown, the present invention is a device monitoring method for operation and maintenance of a power exchange system, comprising 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 ith maintenance of the charging equipment, and calculate the average interval date of the maintenance of the charging equipment in the charging station

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

[0042]

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

[0044] S3: Obtain the total time tm that the mth charging device charges the battery within the monitoring period T, and calculate the charging efficiency of the mth charging device Among them, W represents the energy required to fully charge the battery, and P represents the rated power of the charging equipment;

[0045] Calculate the usage factor of the mth charging device Wherein γ is the preset first adjustment coefficient, and NRm represents the number of times the mth charging device is charged;

[0046] Screen out charging devices with a usage coefficient Xm≥Xsta and mark them as level 2 devices, and mark charging devices marked as both level 1 devices and level 2 devices as level 3 devices, where Xsta represents a preset standard usage coefficient;

[0047] S4: The number of primary, secondary and tertiary equipment in the charging station is M1, M2 and M3 respectively. Calculate the equipment maintenance coefficient of the charging station Wherein λ1, λ2, λ3 are preset first, second, and third equipment maintenance adjustment values, and λ1<λ2<λ3;

[0048] At the end of the current monitoring cycle, the charging station requests the staff to perform charging equipment maintenance and update the monitoring cycle T. The monitoring nodes are reset with the updated monitoring period T to start the next monitoring period, where η is the preset period adjustment coefficient.

[0049] It should be noted that the maintenance times and maintenance dates of the charging equipment in the charging station are first obtained, and the average maintenance days of the charging equipment are calculated. The historical maintenance frequency of the equipment can be determined based on the average maintenance days of the charging equipment.

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

[0051] Get the charging times of the charging equipment within the preset monitoring period T. If the charging station charging equipment has been maintained for a large number of times in the historical records, the smaller the value of the monitoring period is, the faster the frequency of obtaining information is. First, filter according to the charging times of each charging device and filter out the first-level equipment. When the working times of the charging equipment reaches a certain limit, its working efficiency will be reduced, so it will be marked as a first-level device at this time.

[0052] The aging of charging equipment will lead to reduced charging efficiency. Therefore, charging efficiency is an important feature that reflects the aging degree of charging equipment. The lower the charging efficiency, the higher the aging degree of the charging equipment. The usage coefficient of each charging device is calculated by the 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, and the larger the usage coefficient, the worse the state of the charging equipment. According to the size of the usage coefficient of each charging device, screening is performed, and the charging equipment with a usage coefficient Xm≥Xsta is marked as a secondary device and the tertiary device is screened out.

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

[0054] Finally, the value of the monitoring cycle is updated according to the maintenance coefficient. The larger the value of the maintenance cycle, the smaller the value of the monitoring cycle after the update, which increases the frequency of charging equipment maintenance. When the updated monitoring cycle T is too small, resulting in too high a maintenance frequency of the charging equipment, an early warning is required to inform the staff that the charging equipment is used too intensively and that they need to be careful when using it to avoid irreversible damage to the charging equipment.

[0055] In another preferred embodiment of the present invention, when the sampling period Ts is set, it is ensured that the number of times I of charging equipment maintenance within the sampling period Ts is not less than Imin times, wherein Imin is a preset minimum number of maintenance times.

[0056] It is worth noting that when setting the sampling period, it is necessary to ensure that the number of charging equipment maintenance times during the collection period meets the requirements. If the sampling period is set too short and too little data is obtained, it will cause large errors in the calculation results, which is not conducive to the maintenance of the charging equipment.

[0057] In another preferred embodiment of the present invention, the date difference ΔDi=Di is calculated +1 -Di, if ΔDi<Dmin, the date interval [Di, Di +1 ] and date interval [Di +1 ,Di +2 ] is merged into the date interval [Di, Di +2 ], where Dmin represents the preset minimum date difference.

[0058] It is understandable that if the time interval between two maintenance of the charging equipment is short, the short items are combined to simplify subsequent calculations.

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

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

[0061] Get 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 different batteries have different remaining capacities when they begin charging, the energy required to fully charge the battery needs to be calculated based on the remaining capacities of the battery when it begins charging.

[0063] Furthermore, without considering the situation where the battery capacity drops significantly due to battery aging, the aging batteries will be monitored and replaced in a timely manner by the battery replacement system. For batteries with a smaller drop in battery capacity, the error caused can be ignored, so the error caused by battery aging is not within the scope of consideration of the present invention.

[0064] The remaining battery energy Wn_remain can be calculated by the battery energy and the remaining power percentage. This method can more accurately calculate the energy required to fully charge the battery.

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

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

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

[0068] Wherein, Z is the preset judgment threshold.

[0069] It should be noted that the aging of the charging equipment in the charging station is judged based on the equipment maintenance coefficient WH. 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 device is ≤65%, the subsequent calculation steps are stopped and the mth charging device is marked as a level 3 device.

[0071] It is understandable that if the charging efficiency of a charging device is calculated to be lower than 65%, it means that the charging device has a serious aging problem. Therefore, the charging device is directly marked as a level 3 device and subsequent calculations for the charging device are stopped. This processing can reduce the amount of calculations.

[0072] In another preferred embodiment of the present invention, if M-M1-M2-M3=0, the calculation step is stopped and 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 maintenance interval of the charging equipment is too long, resulting in varying degrees of aging problems in the charging equipment. At this time, it is necessary to reduce the monitoring cycle and increase the frequency of charging equipment maintenance.

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

[0075] It is worth noting that if M1+M2+M3=0, it means that no charging equipment has aged during the monitoring period, which means that the maintenance frequency of the charging equipment is too high. Therefore, in order to reduce the consumption of manpower and material resources and reduce unnecessary waste, it is necessary to increase the monitoring period and reduce the maintenance frequency of the charging equipment to achieve the purpose of saving resources.

[0076] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A device monitoring method for battery swap system operation and maintenance, characterized in that: The following steps are involved: 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 ith maintenance of the charging equipment, and calculate the average interval date of the maintenance of the charging equipment in the charging station Get the date range [Di, Di +1 ] The number of times Ni that the charging station charges the battery and the number of charging devices in the charging station M, calculate the average workload NWave = Nave / M, where the average number of times S2: Record the number of charging times NR of the charging device within a preset monitoring period T, and mark the charging device whose number of charging times NR is greater than or equal to the preset standard number of charging times NRsta as a first-level device; S3: Obtain the total time tm that the mth charging device charges the battery within the monitoring period T, and calculate the charging efficiency of the mth charging device Where W represents the energy required to fully charge the battery, and P represents the rated power of the charging equipment; Calculate the usage factor of the mth charging device Wherein γ is the preset first adjustment coefficient, and NRm represents the number of times the mth charging device is charged; Screen out charging devices with a usage coefficient Xm≥Xsta and mark them as level 2 devices, and mark charging devices marked as both level 1 devices and level 2 devices as level 3 devices, where Xsta represents a preset standard usage coefficient; S4: The number of primary, secondary and tertiary equipment in the charging station is M1, M2 and M3 respectively. Calculate the equipment maintenance coefficient of the charging station Wherein λ1, λ2, λ3 are preset first, second, and third equipment maintenance adjustment values, and λ1<λ2<λ3; At the end of the current monitoring cycle, the charging station requests the staff to perform charging equipment maintenance and update the monitoring cycle T. The monitoring nodes are reset with the updated monitoring period T to start the next monitoring period, where η is the preset period adjustment coefficient.

2. The device monitoring method for battery swap system operation and maintenance according to claim 1, characterized in that: In the step S1, when setting the sampling period Ts, ensure that the number of times I of charging equipment maintenance within the sampling period Ts is not less than Imin times, where Imin is the preset minimum number of maintenance times.

3. The device monitoring method for battery swap system operation and maintenance according to claim 1, characterized in that: In step S1, the date difference ΔDi=Di is calculated. +1 -Di, if ΔDi<Dmin, the date interval [Di, Di +1 ] and date interval [Di +1 ,Di +2 ] is merged into the date interval [Di, Di +2 ], where Dmin represents the preset minimum date difference.

4. The device monitoring method for battery swap system operation and maintenance according to claim 1, characterized in that: In step S3, the method for calculating the energy W required to fully charge the battery specifically includes: Get the rated capacity Cn and rated voltage Un of the nth battery, and calculate the battery energy Wn=3600*Cn*Un; Get 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 5. The device monitoring method for battery swap system operation and maintenance according to claim 1, characterized in that: In step S4, the equipment maintenance factor WH is obtained: When 0<WH<Z, the overall aging of the charging equipment in the charging station is marked as slightly aged; When WH≥Z, the overall aging of the charging equipment in the charging station is marked as severe aging; Wherein, Z is the preset judgment threshold.

6. The device monitoring method for battery swap system operation and maintenance according to claim 1, characterized in that: In the step S3, if the charging efficiency Km of the mth charging device is ≤ 65%, the subsequent calculation steps are stopped and the mth charging device is marked as a level 3 device.

7. The device monitoring method for battery swap system operation and maintenance according to claim 1, characterized in that: In 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 battery swap system operation and maintenance according to claim 1, characterized in that: In the step S4, if M1+M2+M3=0, the monitoring period T=2T.

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