Risk prediction method for new energy battery swap station

Abstract

The invention discloses a risk prediction method for a new energy battery swap station. The risk prediction method comprises the following steps: S1, analyzing states of equipment such as a sensor and a motor in a static standby process and a dynamic battery swap process of the whole station; the dynamic battery replacement process comprises vehicle risk estimation and battery replacement station risk estimation; the static standby process comprises risk estimation of the battery swap station; s2, in the dynamic battery replacement process, the battery replacement station risk and the vehicle risk are transmitted to a cloud platform, work orders are distributed through the cloud platform, if the problem of the battery replacement station occurs, an operator is informed to carry out timely processing, and if the problem of the vehicle occurs, a vehicle owner is informed; in the static standby process, the risk of the battery swap station is transmitted to the cloud platform, and a work order is distributed through the cloud platform to inform an operator of timely processing. According to the invention, an operator only needs to repair and maintain the battery swap station or inform a vehicle owner of handling in time aiming at the risk, judgment of human factors is completely avoided, the stability of the battery swap station is ensured, and the customer experience feeling is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of battery swap stations, and in particular relates to a risk prediction system for battery swap stations. Background Art

[0002] New energy vehicles refer to vehicles that use unconventional automotive fuels as their power source and integrate advanced technologies in vehicle power control and drive. New energy electric vehicles have low energy consumption and low pollution, and are gradually becoming a popular means of transportation. Battery swap stations are energy stations that provide power for the power batteries of new energy vehicles.

[0003] In the new energy battery swapping industry, there is currently basically no risk assessment plan for the entire station. The main strategy is that when the equipment fails, the personnel go to the site to solve the problem, which will greatly affect the customer's battery swapping experience. Secondly, the operating personnel or maintenance personnel regularly go to the site for inspection, which consumes a lot of manpower and material resources. In addition, the operating personnel only perform simple repairs and maintenance on the battery swapping station and cannot perform targeted maintenance on the battery swapping station. Secondly, relying solely on people to make judgments and determinations will inevitably lead to some omissions that cannot be avoided by personnel. In addition, the current problems with the vehicle itself cannot be notified to the owner in a timely manner. The long-term existence of the problem will have a serious impact on vehicle safety. Summary of the invention

[0004] The main technical problem solved by the present invention is to provide a risk prediction method for a new energy battery swap station. By analyzing the status of sensors, motors and other equipment during the static standby process and the dynamic battery swap process of the entire station, the operating personnel only need to promptly perform maintenance on the battery swap station or inform the car owner to deal with the problem according to these risks, which is completely free from the judgment of human factors, ensuring the stability of the battery swap station and improving customer experience.

[0005] In order to solve the above technical problems, a technical solution adopted by the present invention is: a risk prediction method for a new energy battery swap station, comprising the following steps:

[0006] S1: By analyzing the status of sensors, motors and other equipment during the station's static standby process and dynamic power replacement process, we can identify the equipment with risks.

[0007] The dynamic battery swap process includes vehicle risk estimation and battery swap station risk estimation. The vehicle risk estimation includes insufficient locking laps and battery swap suspension caused by the driver. The battery swap station risk estimation includes excessive motor torque, sensor trigger abnormality, and failure to lock or unlock successfully at one time.

[0008] The static standby process includes risk estimation of the battery swap station, which includes abnormal temperature and humidity in the cabinet and warehouse, and abnormal fluctuations of sensors in the station;

[0009] S2: During the dynamic battery swapping process, the risks of the battery swapping station and the vehicle are transmitted to the cloud platform, and a work order is issued through the cloud platform. If it is a problem with the battery swapping station, the operator is informed to handle it in a timely manner. If it is a problem with the vehicle, the owner is notified;

[0010] During the static standby process, the risks of the battery swap station are transmitted to the cloud platform, and a work order is issued through the cloud platform to inform the operator to handle it in a timely manner, and the personnel will go to the site to solve it. This application analyzes the status of sensors, motors and other equipment during the static standby process and the dynamic battery swap process of the entire station. The operator only needs to repair and maintain the battery swap station in a timely manner or inform the car owner to deal with the problem according to these risks, and it is completely free from human factors to ensure the stability of the battery swap station and improve customer experience.

[0011] Furthermore, the number of locking laps is insufficient: the theoretical number of vehicle locking laps is n, but the actual number of locking laps is n-1. n-1 laps will not affect the vehicle battery replacement. At this time, the vehicle data is recorded and the information is synchronized to the owner, so that he can go to the maintenance point for maintenance in time to ensure the next battery replacement. When the battery swap station is in the process of battery replacement or standby, it will give priority to meeting the customer's battery replacement needs. According to the abnormalities in the process, it will be uploaded to the cloud platform and dispatched for operation and maintenance work orders. The operation and maintenance personnel will handle the problem of the battery swap station or the owner according to the content of the work order.

[0012] Furthermore, the battery replacement suspension caused by the driver: During the battery replacement process, the battery replacement is stopped due to factors such as the driver opening the car door or breaking into the battery replacement platform. The car owner will be informed of some precautions during the battery replacement process through the background to prevent safety problems.

[0013] Furthermore, the motor torque is too large: if the torque of the non-locking unlocking gun motor is greater than 20% of the standard value during the battery replacement process, then it is considered that there is a problem with this motor and its mechanical structure.

[0014] Furthermore, if a sensor triggers an abnormality: during the battery replacement process, if a sensor flashes after it is in place, or if multiple sensors detect the same component and one of them is not triggered, then this sensor is considered to have an abnormality.

[0015] Furthermore, it is impossible to lock or unlock successfully in one go: during the battery replacement process, if the first locking or unlocking fails but the second locking or unlocking succeeds, it is considered that there is a problem with the position of the locking or unlocking gun.

[0016] Furthermore, abnormal temperature and humidity inside the cabinet and warehouse: within a certain time range, if the temperature or humidity rises by more than the preset value, it is considered that the on-site environment is abnormal, which may cause abnormal motor drive or battery charging.

[0017] Furthermore, abnormal fluctuations of sensors in the station: If a sensor in the battery swap station is abnormally triggered, it is considered that the sensor is faulty or there is an abnormality in the surrounding area that causes the sensor to be triggered.

[0018] The beneficial effects of the present invention include at least the following points:

[0019] The present invention analyzes the status of sensors, motors and other equipment during the static standby process and the dynamic battery swap process of the entire station. The operating personnel only need to promptly perform maintenance on the battery swap station or inform the car owner to handle the problem according to these risks, and the judgment is completely free from human factors, thereby ensuring the stability of the battery swap station and improving customer experience.

[0020] The present invention analyzes the torque, speed and other data of the locking and unlocking gun and other non-locking and unlocking gun motors in a dynamic state, determines whether there is a problem with the bolts of the vehicle body based on the data of the locking and unlocking gun, and promptly notifies the owner to maintain the vehicle. Secondly, based on the data of other motors, it can be determined whether there are some hidden dangers in the battery swap station itself;

[0021] The present invention analyzes the sensors in the battery swap station in a static state to check whether any sensor has flickering problems, and replaces or troubleshoots the root cause in a timely manner;

[0022] When the battery swap station is in the process of battery swapping or standby, the present invention gives priority to meeting the battery swapping needs of customers, uploads abnormalities that occur in the process to the cloud platform and dispatches operation and maintenance work orders, and the operation and maintenance personnel handle problems for the battery swap station or the car owner based on the content of the work order. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a flow chart of the dynamic power replacement process of the present invention;

[0024] Figure 2 is a flow chart of the static standby process of the present invention; DETAILED DESCRIPTION

[0025] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more definite definition of the protection scope of the present invention.

[0026] Embodiment: A risk prediction method for a new energy battery swap station comprises the following steps:

[0027] S1: By analyzing the status of sensors, motors and other equipment during the station's static standby process and dynamic power replacement process, we can identify the equipment with risks.

[0028] The dynamic battery swap process includes vehicle risk estimation and battery swap station risk estimation. The vehicle risk estimation includes insufficient locking laps and battery swap suspension caused by the driver. The battery swap station risk estimation includes excessive motor torque, sensor trigger abnormality, and failure to lock or unlock successfully at one time.

[0029] The static standby process includes risk estimation of the battery swap station, which includes abnormal temperature and humidity in the cabinet and warehouse, and abnormal fluctuations of sensors in the station;

[0030] S2: During the dynamic battery swap process, if Figure 1 As shown, the risks of the battery swap station and the vehicle are transmitted to the cloud platform, and a work order is issued through the cloud platform. If it is a problem with the battery swap station, the operator is informed to handle it in a timely manner. If it is a problem with the vehicle, the owner is notified;

[0031] During static standby, Figure 2 As shown, the risks of the battery swap station are transmitted to the cloud platform, and a work order is issued through the cloud platform to inform the operating personnel to handle it in a timely manner, and the personnel will go to the site to solve it.

[0032] Insufficient locking laps: The theoretical number of vehicle locking laps is n, but the actual number of locking laps is n-1. n-1 laps will not affect the vehicle's battery replacement. At this time, the vehicle data will be recorded and the information will be synchronized to the owner, allowing him to go to the maintenance point in time for maintenance to ensure that the next battery replacement goes smoothly.

[0033] In this embodiment, the theoretical number of vehicle locking circles is 10 circles, but the actual number of vehicle locking circles is 9 circles, and 9 circles will not affect the vehicle battery replacement.

[0034] During the battery swapping process, if the battery swapping is stopped due to factors such as the driver opening the car door or breaking into the battery swapping platform, the car owner will be informed of some precautions during the battery swapping process through the background to prevent safety problems.

[0035] Excessive motor torque: If the torque of the non-locking unlocking gun motor is greater than 20% of the standard value during the battery replacement process, it is considered that there is a problem with the motor and its mechanical structure.

[0036] In specific implementation, the standard torque is generally smaller than the rated torque of the motor. In addition to analyzing the torque, data such as speed are also analyzed.

[0037] Abnormal sensor triggering: During the battery replacement process, if a sensor flashes after it is in place, or if multiple sensors detect the same component and one of them is not triggered, it is considered that there is an abnormality in this sensor.

[0038] In this embodiment, the sensor triggering abnormalities include a battery in place sensor and a water and electricity plug in place sensor, but are not limited to these. The battery in place sensor ensures that the battery position is correct by detecting the four corners of the battery; the water and electricity plug in place sensor ensures that the water and electricity plug will not deviate from the water and electricity plug position due to vibration.

[0039] Unable to lock or unlock successfully in one go: During the battery replacement process, if the first locking or unlocking fails but the second locking or unlocking succeeds, it is considered that there is a problem with the position of the locking or unlocking gun.

[0040] Abnormal temperature and humidity in the cabinet and warehouse: If the temperature or humidity rises by more than the preset value within a certain period of time, it is considered that the on-site environment is abnormal, which may cause abnormal motor drive or battery charging.

[0041] In this embodiment, the temperature and humidity of the battery compartment, main control cabinet, charging cabinet and control room are mainly detected, wherein the temperature range is below 55°C and the humidity is below 90%.

[0042] Abnormal fluctuations of sensors in the station: If a sensor in the battery swap station is triggered abnormally, it is considered that the sensor is faulty or that there is an abnormality in the surrounding area that causes the sensor to be triggered.

[0043] In this embodiment, it mainly includes in-place sensors at various positions (such as vehicle in-place sensors, battery in-place sensors, water and electricity plug in-place sensors, etc., to check whether any sensor has a flickering problem and replace it in time or find the root cause).

[0044] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structural transformations made using the contents of the present invention's specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A risk prediction method for a new energy battery swap station, characterized in that: The following steps are involved: S1: By analyzing the status of sensors, motors and other equipment during the station's static standby process and dynamic power replacement process, we can identify the equipment with risks. The dynamic battery swap process includes vehicle risk estimation and battery swap station risk estimation. The vehicle risk estimation includes insufficient locking laps and battery swap suspension caused by the driver. The battery swap station risk estimation includes excessive motor torque, sensor trigger abnormality, and failure to lock or unlock successfully at one time. The static standby process includes risk estimation of the battery swap station, which includes abnormal temperature and humidity in the cabinet and warehouse, and abnormal fluctuations of sensors in the station; S2: During the dynamic battery swapping process, the risks of the battery swapping station and the vehicle are transmitted to the cloud platform, and a work order is issued through the cloud platform. If it is a problem with the battery swapping station, the operator is informed to handle it in a timely manner. If it is a problem with the vehicle, the owner is notified; During the static standby process, the risks of the battery swap station are transmitted to the cloud platform, and a work order is issued through the cloud platform to inform the operating personnel to handle it in a timely manner, and the personnel will go to the site to resolve it.

2. The risk prediction method for a new energy battery swap station according to claim 1 is characterized in that: Insufficient locking laps: The theoretical number of vehicle locking laps is n, but the actual number of locking laps is n-1. n-1 laps will not affect the vehicle's battery replacement. At this time, the vehicle data will be recorded and the information will be synchronized to the owner, allowing him to go to the maintenance point in time for maintenance to ensure that the next battery replacement goes smoothly.

3. The risk prediction method for a new energy battery swap station according to claim 1 is characterized in that: Battery swap suspension caused by the driver: During the battery swap process, the battery swap is stopped due to factors such as the driver opening the car door or breaking into the battery swap platform. The car owner will be informed of some precautions during the battery swap process through the background to prevent safety problems.

4. The risk prediction method for a new energy battery swap station according to claim 1 is characterized in that: Excessive motor torque: If the torque of the non-locking unlocking gun motor is greater than 20% of the standard value during the battery replacement process, it is considered that there is a problem with the motor and its mechanical structure.

5. The risk prediction method for a new energy battery swap station according to claim 1 is characterized in that: Abnormal sensor triggering: During the battery replacement process, if a sensor flashes after it is in place, or if multiple sensors detect the same component and one of them is not triggered, it is considered that there is an abnormality in this sensor.

6. The risk prediction method for a new energy battery swap station according to claim 1 is characterized in that: Unable to lock or unlock successfully in one go: During the battery replacement process, if the first locking or unlocking fails but the second locking or unlocking succeeds, it is considered that there is a problem with the position of the locking or unlocking gun.

7. The risk prediction method for a new energy battery swap station according to claim 1 is characterized in that: Abnormal temperature and humidity in the cabinet and warehouse: If the temperature or humidity rises by more than the preset value within a certain period of time, it is considered that the on-site environment is abnormal, which may cause abnormal motor drive or battery charging.

8. The risk prediction method for a new energy battery swap station according to claim 1 is characterized in that: Abnormal fluctuations of sensors in the station: If a sensor in the battery swap station is triggered abnormally, it is considered that the sensor is faulty or that there is an abnormality in the surrounding area that causes the sensor to be triggered.

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