CN116071049B

CN116071049B - Energy storage device fault removal method and device, computer device and storage medium

Info

Publication number: CN116071049B
Application number: CN202310201681.7A
Authority: CN
Inventors: 谭海锋; 卢文
Original assignee: Guangzhou Rimsea Technology Co ltd
Current assignee: Guangzhou Rimsea Technology Co ltd
Priority date: 2023-03-06
Filing date: 2023-03-06
Publication date: 2023-12-12
Anticipated expiration: 2043-03-06
Also published as: CN116071049A

Abstract

The application relates to a fault removal method and device for energy storage equipment, computer equipment and storage medium. The method comprises the following steps: acquiring at least one piece of fault information corresponding to each fault energy storage device in the energy storage system; aiming at any fault information, generating a current fault code corresponding to the current fault information according to the current fault information; determining whether a local fault library model corresponding to the target fault energy storage equipment comprises a current fault code or not according to the target fault energy storage equipment corresponding to the current fault information; and if the equipment type identification carried by the current fault code and the current fault information is not included, sending the equipment type identification carried by the current fault code and the current fault information to the cloud server so as to instruct the cloud server to control the target fault energy storage equipment to carry out fault elimination based on the stored fault codes corresponding to the stored equipment type identifications, the current fault code and the equipment type identification carried by the current fault information. The method can improve the failure removal efficiency of the energy storage equipment.

Description

Energy storage device fault removal method and device, computer device and storage medium

Technical Field

The present application relates to the field of new energy technologies, and in particular, to a method and apparatus for troubleshooting an energy storage device, a computer device, and a storage medium.

Background

With the deep integration of the internet of things, personal life, family life and industrial production, family energy storage equipment and outdoor energy storage equipment are continuously popularized, and data such as performance indexes of the energy storage equipment in the energy storage system plays an important role in fault detection of the energy storage equipment.

The existing household energy storage equipment only has a local fault database, equipment fault information cannot be fed back to a background data center for fault troubleshooting analysis, no corresponding solving strategy exists for abnormal conditions which are not in the local fault database, automatic fault elimination cannot be achieved, and the problem of low fault elimination efficiency exists.

Disclosure of Invention

Based on this, it is necessary to provide an energy storage device failure removal method, apparatus, computer device and computer readable storage medium capable of improving failure removal efficiency, in view of the problem of low failure removal efficiency in the conventional energy storage device failure removal method.

In a first aspect, the present application provides a method for troubleshooting an energy storage device. The method comprises the following steps:

acquiring at least one piece of fault information corresponding to each fault energy storage device in the energy storage system, wherein any piece of fault information carries a device type identifier of the corresponding fault energy storage device;

Aiming at any fault information, generating a current fault code corresponding to the current fault information according to the current fault information; determining whether a local fault library model corresponding to the target fault energy storage equipment comprises a current fault code or not according to the target fault energy storage equipment corresponding to the current fault information;

and if the equipment type identification carried by the current fault code and the current fault information is not included, sending the equipment type identification carried by the current fault code and the current fault information to the cloud server so as to instruct the cloud server to control the target fault energy storage equipment to carry out fault elimination based on the stored fault codes corresponding to the stored equipment type identifications, the current fault code and the equipment type identification carried by the current fault information.

In one embodiment, a current fault code and a device type identifier carried by the current fault information are sent to a cloud server to instruct the cloud server to control a target fault energy storage device to perform fault removal based on stored fault codes corresponding to a plurality of stored device type identifiers, the current fault code and the device type identifier carried by the current fault information, including:

transmitting the current fault code and the equipment type identifier carried by the current fault information to a cloud server, wherein the current fault code and the equipment type identifier carried by the current fault information are used for indicating: the cloud server determines a cloud fault solving instruction based on stored fault codes corresponding to the stored device type identifiers, current fault codes and device type identifiers carried by the current fault information, wherein the current fault codes and the device type identifiers carried by the current fault information are also used for indicating the cloud server to send the cloud fault solving instruction to the target fault energy storage device, and the cloud fault solving instruction is used for indicating the target fault energy storage device to operate according to the cloud fault solving instruction;

Acquiring running state data of the target fault energy storage equipment in the running process;

troubleshooting is performed based on the operating state data.

In one embodiment, troubleshooting based on the operating state data includes:

under the condition that the operation state data indicate normal operation, determining that the target fault energy storage equipment has removed the fault;

and under the condition that the operation state data indicate abnormal operation, acquiring the operation abnormal data of the target fault energy storage equipment, and controlling the target fault energy storage equipment to perform fault elimination based on the operation abnormal data.

In one embodiment, controlling a target failed energy storage device for troubleshooting based on operational anomaly data includes:

the operation abnormal data are used for indicating the cloud server to determine an operation stop instruction of the target fault energy storage device according to the operation abnormal data, the operation abnormal data are also used for indicating the cloud server to send the operation stop instruction to the target fault energy storage device, and the operation stop instruction is used for indicating the target fault energy storage device to stop operating according to the operation stop instruction;

transmitting the abnormal operation data to the mobile terminal; the operation abnormal data is used for indicating the mobile terminal to determine an abnormality solving instruction according to the operation abnormal data;

And receiving an abnormality solving instruction fed back by the mobile terminal, and sending the abnormality solving instruction to the target fault energy storage equipment, wherein the abnormality solving instruction is used for indicating the target fault energy storage equipment to perform fault elimination according to the abnormality solving instruction.

In one embodiment, the energy storage device troubleshooting method further comprises:

the method comprises the steps of adding a current fault code and an abnormality solving instruction into a local fault library model, and reporting the current fault code, a device type identifier carried by current fault information and the abnormality solving instruction to a cloud server to instruct the cloud server to store the current fault code, the device type identifier carried by the current fault information and the abnormality solving instruction.

under the condition of inclusion, according to the current fault code, determining a local fault resolution instruction corresponding to the current fault code in a local fault library model;

and sending a local fault solving instruction to the target fault energy storage device, wherein the local fault solving instruction is used for indicating the target fault energy storage device to perform fault elimination according to the local fault solving instruction.

In a second aspect, the application further provides a fault removal device for the energy storage equipment. The device comprises:

The information acquisition module is used for acquiring at least one piece of fault information corresponding to each fault energy storage device in the energy storage system, and any piece of fault information carries the device type identifier of the corresponding fault energy storage device;

the code determining module is used for generating a current fault code corresponding to the current fault information according to the current fault information aiming at any fault information; determining whether a local fault library model corresponding to the target fault energy storage equipment comprises a current fault code or not according to the target fault energy storage equipment corresponding to the current fault information;

and the fault removal module is used for sending the current fault code and the equipment type identifier carried by the current fault information to the cloud server under the condition that the fault removal module does not include the current fault code and the equipment type identifier carried by the current fault information so as to instruct the cloud server to control the target fault energy storage equipment to carry out fault removal based on the stored fault codes, the current fault code and the equipment type identifier carried by the current fault information corresponding to the stored equipment type identifiers.

In one embodiment, the fault clearing module is further configured to send a current fault code and a device type identifier carried by the current fault information to the cloud server, where the current fault code and the device type identifier carried by the current fault information are used to indicate: the cloud server determines a cloud fault solving instruction based on stored fault codes corresponding to the stored device type identifiers, current fault codes and device type identifiers carried by the current fault information, wherein the current fault codes and the device type identifiers carried by the current fault information are also used for indicating the cloud server to send the cloud fault solving instruction to the target fault energy storage device, and the cloud fault solving instruction is used for indicating the target fault energy storage device to operate according to the cloud fault solving instruction; acquiring running state data of the target fault energy storage equipment in the running process; troubleshooting is performed based on the operating state data.

In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:

In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:

According to the energy storage equipment fault clearing method, the device, the computer equipment and the storage medium, by acquiring at least one fault information corresponding to each fault energy storage equipment in the energy storage system, any fault information carries equipment type identification of the corresponding fault energy storage equipment, generating a current fault code corresponding to current fault information according to the current fault information aiming at any fault information, and determining whether a local fault library model corresponding to the target fault energy storage equipment comprises the current fault code according to the target fault energy storage equipment corresponding to the current fault information; and if the equipment type identification carried by the current fault code and the current fault information is not included, sending the equipment type identification carried by the current fault code and the current fault information to the cloud server so as to instruct the cloud server to control the target fault energy storage equipment to carry out fault elimination based on the stored fault codes corresponding to the stored equipment type identifications, the current fault code and the equipment type identification carried by the current fault information. According to the scheme, aiming at the fault energy storage equipment in the energy storage system, when the fault codes corresponding to the fault information are not included in the local fault library model, the fault energy storage equipment can be controlled to carry out fault elimination by combining with the stored fault codes in the cloud server, and the fault elimination efficiency of the energy storage equipment is improved.

Drawings

FIG. 1 is an application environment diagram of a method for troubleshooting an energy storage device in one embodiment;

FIG. 2 is a flow chart of a method of troubleshooting an energy storage device in one embodiment;

FIG. 3 is a flow chart of a method for troubleshooting an energy storage device according to another embodiment;

FIG. 4 is a schematic flow chart of a sub-process of S304 in one embodiment;

FIG. 5 is a flow chart of a method for troubleshooting an energy storage device according to yet another embodiment;

FIG. 6 is a general flow diagram of a method of troubleshooting an energy storage device in one embodiment;

FIG. 7 is a block diagram of an energy storage device troubleshooting apparatus in one embodiment;

fig. 8 is an internal structural diagram of a computer device in one embodiment.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

The energy storage equipment fault removal method provided by the embodiment of the application can be applied to an application environment shown in figure 1. The energy storage equipment fault removal method is applied to an energy storage system. The energy storage system includes at least one failed energy storage device 102, a cloud server 104, and a computer device 106. The method for removing the fault of the energy storage device provided by the embodiment of the application is executed by the computer device 106: acquiring at least one piece of fault information corresponding to each fault energy storage device 102 in the energy storage system, wherein any piece of fault information carries a device type identifier of the corresponding fault energy storage device; aiming at any fault information, generating a current fault code corresponding to the current fault information according to the current fault information; determining whether a local fault library model corresponding to the target fault energy storage equipment comprises a current fault code or not according to the target fault energy storage equipment corresponding to the current fault information; if not, the current fault code and the device type identifier carried by the current fault information are sent to the cloud server 104, so that the cloud server 104 is instructed to control the target fault energy storage device to perform fault elimination based on the stored fault codes corresponding to the stored device type identifiers, the current fault code and the device type identifier carried by the current fault information. The computer device 106 may be a terminal or a server, and the terminal may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices and portable wearable devices, and the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server may be implemented as a stand-alone server or as a server cluster composed of a plurality of servers.

In one embodiment, as shown in fig. 2, a method for troubleshooting an energy storage device is provided, and the method is applied to the computer device 106 in fig. 1, and includes the following steps:

s202, at least one piece of fault information corresponding to each fault energy storage device in the energy storage system is obtained, and any piece of fault information carries the device type identification of the corresponding fault energy storage device.

The energy storage device is used for reasonably utilizing energy and improving the utilization rate of the energy, and is used for collecting and storing the temporarily unused surplus energy in a period in a certain mode, and extracting and using the surplus energy when the energy is used in a peak or transporting the surplus energy to a place where the energy is short of for reuse. An energy storage system is a system that includes an energy storage device. In some embodiments, an energy storage system generally includes: the photovoltaic power generation system comprises a photovoltaic power generation module, an energy storage battery power-up pack module, a distribution box and a grid-connection and disconnection module. The energy storage battery module, the distribution box module and the power-on package module belong to energy storage equipment. The energy storage battery module and the distribution box module are provided with a local fault database, and other modules are not provided with the local fault database. The photovoltaic power generation module can convert solar energy into electric energy, the energy storage battery can store or output the electric energy, the power-on pack is used as a capacity expansion pack of the energy storage battery, the distribution box is responsible for electric energy distribution, the off-grid module is responsible for connecting the whole energy storage system into the mains supply or disconnecting the mains supply, and the surplus solar energy converted electric energy is subjected to power selling operation through inversion and the off-grid module. The distribution box is respectively and electrically connected with the photovoltaic power generation module, the energy storage battery module and the inversion and off-grid module, and the power-up pack module is connected with the energy storage battery module.

The failed energy storage device is a failed energy storage device in the energy storage system. The fault information is information generated when the fault energy storage equipment breaks down, and any fault information carries the equipment type identifier of the corresponding fault energy storage equipment. The device type identification is a unique identification of each type of energy storage device. The computer equipment acquires at least one piece of fault information corresponding to each fault energy storage equipment in the energy storage system.

S204, aiming at any fault information, generating a current fault code corresponding to the current fault information according to the current fault information; and determining whether the local fault library model corresponding to the target fault energy storage equipment comprises the current fault code or not according to the target fault energy storage equipment corresponding to the current fault information.

The computer equipment generates a current fault code corresponding to the current fault information according to the current fault information aiming at any fault information. Each piece of fault information corresponds to a fault code. For example, the fault information is a power failure of the energy storage battery, the corresponding fault code is 223, the fault information is a field effect transistor fault in the energy storage battery, and the corresponding fault code is 224.

And the computer equipment determines the target fault energy storage equipment according to the equipment type identifier carried in the current fault information.

The local fault library model is a database model stored locally on the computer. The local database model stores fault codes and fault solving instructions corresponding to fault types of various energy storage devices, and the fault codes and the fault solving instructions are used for quickly finding out the corresponding fault solving instructions according to the fault codes, so that the fault removing efficiency of the energy storage devices is improved.

The computer equipment traverses the fault codes stored in the local database model corresponding to the target fault energy storage equipment, and determines whether the local fault database model comprises the current fault code.

And S206, if not, transmitting the current fault code and the equipment type identifier carried by the current fault information to the cloud server to instruct the cloud server to control the target fault energy storage equipment to carry out fault elimination based on the stored fault code, the current fault code and the equipment type identifier carried by the current fault information corresponding to the stored equipment type identifiers.

The cloud server is a cloud server connected with the computer equipment through a network. The cloud server comprises stored equipment type identifiers, stored fault codes and cloud fault solving instructions of various energy storage equipment. And under the condition that the computer equipment determines that the local fault library model does not comprise the current fault code, the computer equipment sends the current fault code and the equipment type identifier carried by the current fault information to the cloud server. The device type identifiers carried by the current fault codes and the current fault information are used for indicating the cloud server to control the target fault energy storage device to conduct fault elimination according to the received current fault codes and the device type identifiers carried by the current fault information by combining stored fault codes corresponding to a plurality of stored device type identifiers in the cloud server.

In the energy storage equipment fault removal method, at least one fault information corresponding to each fault energy storage equipment in the energy storage system is obtained, equipment type identifiers of the corresponding fault energy storage equipment are carried in any fault information, a current fault code corresponding to the current fault information is generated according to the current fault information aiming at any fault information, and whether the current fault code is included in a local fault library model corresponding to the target fault energy storage equipment or not is determined according to the target fault energy storage equipment corresponding to the current fault information; and if the equipment type identification carried by the current fault code and the current fault information is not included, sending the equipment type identification carried by the current fault code and the current fault information to the cloud server so as to instruct the cloud server to control the target fault energy storage equipment to carry out fault elimination based on the stored fault codes corresponding to the stored equipment type identifications, the current fault code and the equipment type identification carried by the current fault information. According to the scheme, aiming at the fault energy storage equipment in the energy storage system, when the fault codes corresponding to the fault information are not included in the local fault library model, the fault energy storage equipment can be controlled to carry out fault elimination by combining with the stored fault codes in the cloud server, and the fault elimination efficiency of the energy storage equipment is improved.

In one embodiment, the method includes sending a current fault code and a device type identifier carried by the current fault information to a cloud server to instruct the cloud server to control a target fault energy storage device to perform fault removal based on stored fault codes corresponding to a plurality of stored device type identifiers, the current fault code, and the device type identifier carried by the current fault information, including: transmitting the current fault code and the equipment type identifier carried by the current fault information to a cloud server, wherein the current fault code and the equipment type identifier carried by the current fault information are used for indicating: the cloud server determines a cloud fault solving instruction based on stored fault codes corresponding to the stored device type identifiers, current fault codes and device type identifiers carried by the current fault information, wherein the current fault codes and the device type identifiers carried by the current fault information are also used for indicating the cloud server to send the cloud fault solving instruction to the target fault energy storage device, and the cloud fault solving instruction is used for indicating the target fault energy storage device to operate according to the cloud fault solving instruction; acquiring running state data of the target fault energy storage equipment in the running process; troubleshooting is performed based on the operating state data.

The cloud server is used for determining cloud fault resolution instructions based on stored fault codes corresponding to the stored device type identifiers, the current fault codes and the device type identifiers carried by the current fault information. The cloud fault solving instruction is used for indicating the target fault energy storage equipment to operate according to the cloud fault solving instruction, so that the fault of the target fault energy storage equipment is eliminated.

Specifically, the cloud server receives the current fault code and the device type identifier carried by the current fault information, determines the fault type of the target fault energy storage device by combining the stored fault codes corresponding to the stored device type identifiers in the cloud server, and determines a corresponding cloud fault resolution instruction according to the fault type of the target fault energy storage device.

And fault codes of all the fault energy storage devices and corresponding cloud fault solving instructions are stored in the cloud server. Aiming at fault information of any fault energy storage device, the cause of fault generation and the fault type can be determined by combining stored fault codes of all the energy storage devices stored on the cloud server, and then cloud fault solving instructions corresponding to the fault type are determined. The cloud server sends a cloud fault instruction to the target fault energy storage equipment according to the equipment type identifier carried by the current fault information so as to instruct the target fault energy storage equipment to operate according to the cloud fault solving instruction, thereby eliminating the fault of the target fault energy storage equipment.

The running state data refers to state data generated in the running process of the target fault energy storage device according to the cloud fault resolution instruction. The computer equipment acquires the running state data of the target fault energy storage equipment in the running process, and performs fault removal based on the running state data.

In this embodiment, the cloud server is instructed to determine a cloud fault resolution instruction based on the stored fault codes corresponding to the plurality of stored device type identifiers, the current fault codes and the device type identifiers carried by the current fault information by sending the current fault codes and the device type identifiers carried by the current fault information to the cloud server, and instruct the cloud server to send the cloud fault resolution instruction to the target fault energy storage device, so as to instruct the target fault energy storage device to perform fault removal according to the cloud fault resolution instruction. According to the method for sending the fault related information of the fault energy storage device to the cloud server, the cloud server is instructed to determine the cloud fault solving instruction according to the stored fault related information, the fault type which is not supported in the local fault library model can be ensured to determine the fault solving instruction in the cloud server, and therefore the fault removing efficiency of the fault energy storage device is improved.

In one embodiment, the fault energy storage device includes a fault line and a non-fault line; transmitting the current fault code and the equipment type identifier carried by the current fault information to the cloud server to instruct the cloud server to control the target fault energy storage equipment to perform fault elimination based on the stored fault code, the current fault code and the equipment type identifier carried by the current fault information corresponding to the plurality of stored equipment type identifiers, and further comprising: transmitting the current fault code and the equipment type identifier carried by the current fault information to a cloud server, wherein the current fault code and the equipment type identifier carried by the current fault information are used for indicating: the cloud server determines a cloud fault solving instruction based on stored fault codes corresponding to the stored device type identifiers, current fault codes and device type identifiers carried by the current fault information, wherein the current fault codes and the device type identifiers carried by the current fault information are also used for indicating the cloud server to send the cloud fault solving instruction to the target fault energy storage device, and the cloud fault solving instruction is used for indicating the target fault energy storage device to control a fault line to stop running according to the cloud fault solving instruction; acquiring running state data of the target fault energy storage equipment in the normal running process of a non-fault line; troubleshooting is performed based on the operating state data.

Wherein each energy storage device includes at least one line, any one or more line faults may cause the entire energy storage device to fail, thereby interrupting the overall operation of the energy storage system. The fault energy storage device comprises a fault line and a non-fault line.

The computer equipment sends the current fault code and the equipment type identifier carried by the current fault information to the cloud server, and the current fault code and the equipment type identifier carried by the current fault information are used for indicating: the cloud server determines a cloud fault resolution instruction based on stored fault codes corresponding to the stored device type identifiers, current fault codes and device type identifiers carried by current fault information. The current fault code and the device type identifier carried by the current fault information are also used for indicating the cloud server to send a cloud fault solving instruction to the target fault energy storage device, and the cloud fault solving instruction is used for indicating the target fault energy storage device to control the fault line to stop running according to the cloud fault solving instruction.

The cloud fault solving instruction is adopted, so that a fault line in the fault energy storage equipment stops running, and other non-fault lines normally run, and the normal running of the energy storage equipment is met to the greatest extent. For example, a temperature sensor failure occurs in the battery management module of the failed energy storage device, causing the failed energy storage device to cease functioning entirely. The cloud fault solving instruction received by the fault energy storage equipment from the cloud server is to stop the operation of the temperature sensor, the fault energy storage equipment controls the temperature sensor to stop operating according to the cloud fault solving instruction, other non-fault lines normally operate, and the normal operation of the energy storage equipment can be guaranteed to the greatest extent on the basis of stopping the operation of the temperature sensor.

The computer equipment acquires the running state data of the target fault energy storage equipment in the normal running process of the non-fault line, and performs fault removal based on the running state data.

In this embodiment, by sending the fault related information of the fault energy storage device to the cloud server, thereby indicating the cloud server to determine the cloud fault resolution instruction according to the stored fault related information, it can be ensured that the fault type not supported in the local fault library model can determine the fault resolution instruction in the cloud server, thereby improving the fault resolution efficiency of the fault energy storage device. Meanwhile, the cloud fault solving instruction can control the fault line to stop running, the non-fault line to run normally, the running of the energy storage equipment can be guaranteed to the greatest extent, and the fault removal efficiency of the fault energy storage equipment is improved.

In one embodiment, as shown in FIG. 3, troubleshooting based on the operating state data includes:

s302, determining that the target fault energy storage device is subjected to fault removal under the condition that the operation state data indicate that the operation is normal.

Wherein the operational status data includes first status data and second status data. The first state data characterizes that the target fault energy storage device operates normally according to the cloud fault resolution instruction. And the second state data represents that the target fault energy storage equipment operates abnormally according to the cloud fault resolution instruction. The operating state data indicates normal operation, the operating state data is the first state data, the target fault energy storage device operates normally according to the cloud fault resolution instruction, and the computer device determines that the target fault energy storage device has removed the fault.

S304, under the condition that the operation state data indicate abnormal operation, obtaining the operation abnormal data of the target fault energy storage equipment, and controlling the target fault energy storage equipment to conduct fault elimination based on the operation abnormal data.

The operation state data indicates abnormal operation, the operation state data is the second state data, the target fault energy storage equipment operates abnormally according to the cloud fault resolution instruction, the computer equipment obtains the operation abnormal data of the target fault energy storage equipment, and the target fault energy storage equipment is controlled to conduct fault elimination based on the operation abnormal data. The operation abnormal data refers to operation abnormal data generated when the target fault energy storage device operates according to the cloud fault resolution instruction. Under the condition that the operation state data indicates abnormal operation, the target fault energy storage equipment runs according to the cloud fault solving instruction and fails to remove the fault, and the computer equipment continues to remove the fault of the target fault equipment according to the abnormal operation data.

In this embodiment, when the operation state data of the target fault energy storage device indicates that the operation is normal, the fault removal is determined, and when the operation is abnormal, the fault removal is performed on the basis of the operation abnormal data to control the target fault energy storage device, so that the fault removal can be further performed according to the operation abnormal data under the condition that the cloud fault resolution instruction cannot remove the fault, and the fault removal efficiency of the fault energy storage device is improved.

In one embodiment, as shown in FIG. 4, controlling a target failed energy storage device for troubleshooting based on operational anomaly data includes:

s402, sending operation abnormal data to the cloud server, wherein the operation abnormal data are used for indicating the cloud server to determine an operation stop instruction of the target fault energy storage device according to the operation abnormal data, the operation abnormal data are also used for indicating the cloud server to send the operation stop instruction to the target fault energy storage device, and the operation stop instruction is used for indicating the target fault energy storage device to stop operating according to the operation stop instruction.

The computer equipment sends operation abnormal data to the cloud server, and the operation abnormal data are used for indicating the cloud server to determine an operation stop instruction of the target fault energy storage equipment according to the operation abnormal data. In some embodiments, the cloud server determines an operation stop instruction of the target fault energy storage device according to the received operation anomaly data in combination with the device type identifier of the target fault energy storage device. The operation stopping instruction is used for indicating the target fault energy storage device to stop operation. And the cloud server sends an operation stopping instruction of the target fault energy storage equipment to the target fault energy storage equipment, and the target fault energy storage equipment stops operating according to the operation stopping instruction.

S404, transmitting the abnormal operation data to the mobile terminal; the operation anomaly data is used for indicating the mobile terminal to determine an anomaly resolution instruction according to the operation anomaly data.

The computer equipment sends the abnormal operation data to the mobile terminal. And the mobile terminal determines an abnormality solving instruction according to the received operation abnormality data. In some embodiments, the troubleshooting personnel can analyze and troubleshoot the fault through the operation abnormal data received in the mobile terminal to determine the abnormality solving instruction. In other embodiments, the mobile terminal stores in advance an abnormality resolving instruction corresponding to various operation abnormality data, and in the mobile terminal, the corresponding abnormality resolving instruction may be determined by operating the abnormality data.

S406, an abnormality solving instruction fed back by the mobile terminal is received, and the abnormality solving instruction is sent to the target fault energy storage device, wherein the abnormality solving instruction is used for indicating the target fault energy storage device to perform fault elimination according to the abnormality solving instruction.

The computer equipment receives an abnormality solving instruction fed back by the mobile terminal and sends the abnormality solving instruction to the target fault energy storage equipment. The target fault energy storage device operates according to the abnormality resolution instruction received from the computer device, thereby removing the fault. In some embodiments, the computer device sends the operational anomaly data to the mobile terminal to instruct the mobile terminal to determine an anomaly resolution instruction according to the operational anomaly data, and instructs the mobile terminal to send the anomaly resolution instruction to the target fault energy storage device to instruct the target fault energy storage device to perform fault elimination according to the anomaly resolution instruction. The mobile terminal directly sends the abnormality solving instruction to the target fault energy storage device, so that the target fault energy storage device is instructed to carry out fault elimination according to the abnormality solving instruction, and the fault elimination efficiency is improved.

In the embodiment, the operation stopping instruction is determined in the cloud server by sending the operation abnormal data to the cloud server, so that the target fault energy storage equipment is controlled to stop operation according to the operation stopping instruction, and the operation is stopped in time when the target fault energy storage equipment is abnormal in operation, so that the damage of the target fault energy storage equipment is avoided; meanwhile, the operation abnormal data is sent to the mobile terminal, so that an abnormality solving instruction is determined in the mobile terminal, and the target fault energy storage equipment performs fault elimination according to the abnormality solving instruction.

In one embodiment, the energy storage device troubleshooting method further comprises: the method comprises the steps of adding a current fault code and an abnormality solving instruction into a local fault library model, and reporting the current fault code, a device type identifier carried by current fault information and the abnormality solving instruction to a cloud server to instruct the cloud server to store the current fault code, the device type identifier carried by the current fault information and the abnormality solving instruction.

The computer equipment adds the current fault code and the abnormality solving instruction into the local fault library model, so that the current fault code and the abnormality solving instruction are respectively used as the stored fault code and the stored abnormality solving instruction in the local fault library model. When the generated faults have the same fault codes, the corresponding abnormality solving instruction can be rapidly determined by inquiring the local fault library model, so that the fault removal efficiency of the fault energy storage equipment is improved. Meanwhile, the computer equipment can report the current fault code, the equipment type identifier carried by the current fault information and the abnormality solving instruction to the cloud server so as to instruct the cloud server to store the current fault code, the equipment type identifier carried by the current fault information and the abnormality solving instruction. And the current fault code, the equipment type identifier carried by the current fault information and the abnormality solving instruction are respectively used as the stored fault code, the stored equipment type identifier and the cloud fault solving instruction in the cloud server. When the generated faults have the same fault codes, the corresponding cloud fault solving instruction can be rapidly determined by inquiring the stored data in the cloud server, so that the fault removing efficiency of the fault energy storage equipment is improved.

In this embodiment, the current fault code and the abnormality resolving instruction are added to the local fault library model, and the current fault code, the device type identifier carried by the current fault information and the abnormality resolving instruction are reported to the cloud server, so that when the occurred faults have the same fault code, the corresponding fault resolving instruction can be quickly determined by querying the stored data in the local fault library model or the cloud server, thereby improving the fault removal efficiency of the fault energy storage device.

In one embodiment, as shown in fig. 5, the energy storage device troubleshooting method further includes:

s502, if so, determining a local fault resolution instruction corresponding to the current fault code in a local fault library model according to the current fault code.

The method comprises the steps that a computer device determines whether a local fault library model corresponding to a target fault energy storage device comprises a current fault code, and when the local fault library model corresponding to the target fault energy storage device comprises the current fault code, the computer device determines a local fault resolution instruction corresponding to the current fault code in the local fault library model according to the current fault code.

S504, a local fault resolution instruction is sent to the target fault energy storage device, wherein the local fault resolution instruction is used for indicating the target fault energy storage device to conduct fault removal according to the local fault resolution instruction.

The computer equipment sends a local fault solving instruction to the target fault energy storage equipment, and the local fault solving instruction is used for indicating the target fault energy storage equipment to conduct fault elimination according to the local fault solving instruction. In some embodiments, each energy storage device includes a local fault library model corresponding to each energy storage device, when the energy storage device fails, a controller in the fault energy storage device detects fault information and determines a fault code corresponding to the fault information, so that according to the fault code, a fault resolution instruction corresponding to the fault code is determined in the local fault library model, and the failed energy storage device operates according to the fault resolution instruction to remove the fault. In some embodiments, the energy storage system is of modular design, each energy storage device having a separate module, and the failed energy storage device is the failed energy storage device module in the energy storage system. Each energy storage device module comprises at least one line, and any line fault in the energy storage device leads to the overall fault of the energy storage device. The local fault resolution instructions are instructions that are in one-to-one correspondence with the fault types of the energy storage devices. For example, a line output of 12 volts is over-current, with a corresponding local fault resolution command 119; the cell fault, the corresponding local fault solving instruction is 343; the direct current fault of the fault energy storage device corresponds to a local fault resolution instruction 311. The fault energy storage equipment operates according to the local fault solving instruction, so that the fault is removed, and the fault energy storage equipment can recover to normal operation after the fault is removed.

In this embodiment, under the condition that the local fault library model corresponding to the target fault energy storage device includes the current fault code, the local fault resolution instruction corresponding to the current fault code is determined in the local fault library model, so that the target fault energy storage device is instructed to perform fault resolution according to the local fault resolution instruction, and various fault resolution instructions corresponding to the faults are stored in the local fault library model, so that when faults occur, the corresponding fault resolution instruction can be quickly found, and the fault resolution efficiency is improved.

In order to describe the method and effect of fault removal of the energy storage device in this embodiment in detail, the following description will describe one of the most detailed embodiments:

a troubleshooting scenario for a home energy storage device. The computer equipment acquires at least one piece of fault information corresponding to each fault energy storage equipment in the energy storage system, and any piece of fault information carries the equipment type identifier of the corresponding fault energy storage equipment. Fig. 6 is a general flow chart of the method for removing the fault of the energy storage device.

Aiming at any fault information, the computer equipment generates a current fault code corresponding to the current fault information according to the current fault information; and determining whether the local fault library model corresponding to the target fault energy storage equipment comprises the current fault code or not according to the target fault energy storage equipment corresponding to the current fault information.

Under the condition that a local fault library model corresponding to the target fault energy storage device does not comprise the current fault code, the computer device sends the current fault code and the device type identifier carried by the current fault information to the cloud server, the current fault code and the device type identifier carried by the current fault information are used for indicating the cloud server to determine a cloud fault resolution instruction based on the stored fault codes corresponding to the stored device type identifiers, the current fault code and the device type identifier carried by the current fault information are also used for indicating the cloud server to send the cloud fault resolution instruction to the target fault energy storage device, and the cloud fault resolution instruction is used for indicating the target fault energy storage device to operate according to the cloud fault resolution instruction; acquiring running state data of the target fault energy storage equipment in the running process; troubleshooting is performed based on the operating state data. Wherein the troubleshooting is performed based on the operational status data. Specifically, under the condition that the operation state data indicates that the operation is normal, determining that the target fault energy storage device has removed the fault, under the condition that the operation state data indicates that the operation is abnormal, acquiring the operation abnormality data of the target fault energy storage device, and controlling the target fault energy storage device to remove the fault based on the operation abnormality data.

The computer equipment controls the target fault energy storage equipment to conduct fault elimination based on the abnormal operation data, and the method comprises the following steps: the computer equipment sends operation abnormal data to the cloud server, the operation abnormal data are used for indicating the cloud server to determine an operation stop instruction of the target fault energy storage equipment according to the operation abnormal data, the operation abnormal data are also used for indicating the cloud server to send the operation stop instruction to the target fault energy storage equipment, and the operation stop instruction is used for indicating the target fault energy storage equipment to stop operating according to the operation stop instruction. Transmitting the abnormal operation data to the mobile terminal; the operation abnormal data are used for indicating the mobile terminal to determine an abnormality solving instruction according to the operation abnormal data, receiving the abnormality solving instruction fed back by the mobile terminal, and sending the abnormality solving instruction to the target fault energy storage equipment, wherein the abnormality solving instruction is used for indicating the target fault energy storage equipment to carry out fault elimination according to the abnormality solving instruction.

The energy storage device fault removal method further comprises the following steps: the computer equipment adds the current fault code and the abnormality solving instruction into a local fault library model, and reports the current fault code, the equipment type identifier carried by the current fault information and the abnormality solving instruction to the cloud server so as to instruct the cloud server to store the current fault code, the equipment type identifier carried by the current fault information and the abnormality solving instruction. Under the condition that a local fault library model corresponding to the target fault energy storage device comprises a current fault code, the computer device determines a local fault resolution instruction corresponding to the current fault code in the local fault library model according to the current fault code, and sends the local fault resolution instruction to the target fault energy storage device, wherein the local fault resolution instruction is used for indicating the target fault energy storage device to perform fault removal according to the local fault resolution instruction.

According to the fault clearing method of the energy storage equipment, at least one piece of fault information corresponding to each piece of fault energy storage equipment in the energy storage system is obtained, equipment type identifiers of the corresponding fault energy storage equipment are carried in any piece of fault information, a current fault code corresponding to the current fault information is generated according to the current fault information aiming at any piece of fault information, and whether the current fault code is included in a local fault library model corresponding to the target fault energy storage equipment or not is determined according to the target fault energy storage equipment corresponding to the current fault information; and if the equipment type identification carried by the current fault code and the current fault information is not included, sending the equipment type identification carried by the current fault code and the current fault information to the cloud server so as to instruct the cloud server to control the target fault energy storage equipment to carry out fault elimination based on the stored fault codes corresponding to the stored equipment type identifications, the current fault code and the equipment type identification carried by the current fault information. According to the scheme, aiming at the fault energy storage equipment in the energy storage system, when the fault codes corresponding to the fault information are not included in the local fault library model, the fault energy storage equipment can be controlled to carry out fault elimination by combining with the stored fault codes in the cloud server, and the fault elimination efficiency of the energy storage equipment is improved. Meanwhile, the automatic fault elimination of each energy storage device in the energy storage system is facilitated, and the fault elimination efficiency of the energy storage devices in the energy storage system is improved.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides an energy storage device fault removal device for realizing the above-mentioned energy storage device fault removal method. The implementation of the solution provided by the apparatus is similar to the implementation described in the above method, so the specific limitation in the embodiments of the energy storage device fault clearing apparatus provided below may refer to the limitation of the energy storage device fault clearing method hereinabove, and will not be repeated herein.

In one embodiment, as shown in fig. 7, there is provided an energy storage device troubleshooting apparatus 100, including: an information acquisition module 120, a code determination module 140, and a troubleshooting module 160, wherein:

the information obtaining module 120 is configured to obtain at least one piece of fault information corresponding to each faulty energy storage device in the energy storage system, where any piece of fault information carries a device type identifier of the corresponding faulty energy storage device;

the code determining module 140 is configured to generate, for any fault information, a current fault code corresponding to the current fault information according to the current fault information; determining whether a local fault library model corresponding to the target fault energy storage equipment comprises a current fault code or not according to the target fault energy storage equipment corresponding to the current fault information;

and the troubleshooting module 160 is configured to send, if not included, the current fault code and the device type identifier carried by the current fault information to the cloud server, so as to instruct the cloud server to control the target fault energy storage device to perform troubleshooting based on the stored fault codes, the current fault code, and the device type identifier carried by the current fault information corresponding to the plurality of stored device type identifiers.

According to the fault clearing device for the energy storage equipment, at least one fault information corresponding to each fault energy storage equipment in the energy storage system is obtained, equipment type identifiers of the corresponding fault energy storage equipment are carried in any fault information, a current fault code corresponding to the current fault information is generated according to the current fault information aiming at any fault information, and whether the current fault code is included in a local fault library model corresponding to the target fault energy storage equipment or not is determined according to the target fault energy storage equipment corresponding to the current fault information; and if the equipment type identification carried by the current fault code and the current fault information is not included, sending the equipment type identification carried by the current fault code and the current fault information to the cloud server so as to instruct the cloud server to control the target fault energy storage equipment to carry out fault elimination based on the stored fault codes corresponding to the stored equipment type identifications, the current fault code and the equipment type identification carried by the current fault information. According to the scheme, aiming at the fault energy storage equipment in the energy storage system, when the fault codes corresponding to the fault information are not included in the local fault library model, the fault energy storage equipment can be controlled to carry out fault elimination by combining with the stored fault codes in the cloud server, and the fault elimination efficiency of the energy storage equipment is improved.

In one embodiment, the current fault code and the device type identifier carried by the current fault information are sent to the cloud server, so as to instruct the cloud server to control the target fault energy storage device to perform fault removal based on the stored fault codes corresponding to the multiple stored device type identifiers, the current fault code and the device type identifier carried by the current fault information, and the fault removal module 160 is further configured to: transmitting the current fault code and the equipment type identifier carried by the current fault information to a cloud server, wherein the current fault code and the equipment type identifier carried by the current fault information are used for indicating: the cloud server determines a cloud fault solving instruction based on stored fault codes corresponding to the stored device type identifiers, current fault codes and device type identifiers carried by the current fault information, wherein the current fault codes and the device type identifiers carried by the current fault information are also used for indicating the cloud server to send the cloud fault solving instruction to the target fault energy storage device, and the cloud fault solving instruction is used for indicating the target fault energy storage device to operate according to the cloud fault solving instruction; acquiring running state data of the target fault energy storage equipment in the running process; troubleshooting is performed based on the operating state data.

In one embodiment, troubleshooting is based on the operating state data, and the troubleshooting module 160 is further configured to: under the condition that the operation state data indicate normal operation, determining that the target fault energy storage equipment has removed the fault; and under the condition that the operation state data indicate abnormal operation, acquiring the operation abnormal data of the target fault energy storage equipment, and controlling the target fault energy storage equipment to perform fault elimination based on the operation abnormal data.

In one embodiment, the troubleshooting module 160 is further configured to control the target failed energy storage device for troubleshooting based on the operational anomaly data: the operation abnormal data are used for indicating the cloud server to determine an operation stop instruction of the target fault energy storage device according to the operation abnormal data, the operation abnormal data are also used for indicating the cloud server to send the operation stop instruction to the target fault energy storage device, and the operation stop instruction is used for indicating the target fault energy storage device to stop operating according to the operation stop instruction; transmitting the abnormal operation data to the mobile terminal; the operation abnormal data is used for indicating the mobile terminal to determine an abnormality solving instruction according to the operation abnormal data; and receiving an abnormality solving instruction fed back by the mobile terminal, and sending the abnormality solving instruction to the target fault energy storage equipment, wherein the abnormality solving instruction is used for indicating the target fault energy storage equipment to perform fault elimination according to the abnormality solving instruction.

In one embodiment, the energy storage device troubleshooting apparatus 100 is further configured to: the method comprises the steps of adding a current fault code and an abnormality solving instruction into a local fault library model, and reporting the current fault code, a device type identifier carried by current fault information and the abnormality solving instruction to a cloud server to instruct the cloud server to store the current fault code, the device type identifier carried by the current fault information and the abnormality solving instruction.

In one embodiment, the energy storage device troubleshooting apparatus 100 is further configured to: under the condition of inclusion, according to the current fault code, determining a local fault resolution instruction corresponding to the current fault code in a local fault library model; and sending a local fault solving instruction to the target fault energy storage device, wherein the local fault solving instruction is used for indicating the target fault energy storage device to perform fault elimination according to the local fault solving instruction.

The above-mentioned various modules in the energy storage device troubleshooting apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 8. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of energy storage device troubleshooting.

It will be appreciated by those skilled in the art that the structure shown in FIG. 8 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:

acquiring at least one piece of fault information corresponding to each fault energy storage device in the energy storage system, wherein any piece of fault information carries a device type identifier of the corresponding fault energy storage device; aiming at any fault information, generating a current fault code corresponding to the current fault information according to the current fault information; determining whether a local fault library model corresponding to the target fault energy storage equipment comprises a current fault code or not according to the target fault energy storage equipment corresponding to the current fault information; and if the equipment type identification carried by the current fault code and the current fault information is not included, sending the equipment type identification carried by the current fault code and the current fault information to the cloud server so as to instruct the cloud server to control the target fault energy storage equipment to carry out fault elimination based on the stored fault codes corresponding to the stored equipment type identifications, the current fault code and the equipment type identification carried by the current fault information.

In one embodiment, the processor when executing the computer program further performs the steps of:

transmitting the current fault code and the equipment type identifier carried by the current fault information to a cloud server, wherein the current fault code and the equipment type identifier carried by the current fault information are used for indicating: the cloud server determines a cloud fault solving instruction based on stored fault codes corresponding to the stored device type identifiers, current fault codes and device type identifiers carried by the current fault information, wherein the current fault codes and the device type identifiers carried by the current fault information are also used for indicating the cloud server to send the cloud fault solving instruction to the target fault energy storage device, and the cloud fault solving instruction is used for indicating the target fault energy storage device to operate according to the cloud fault solving instruction; acquiring running state data of the target fault energy storage equipment in the running process; troubleshooting is performed based on the operating state data.

under the condition that the operation state data indicate normal operation, determining that the target fault energy storage equipment has removed the fault; and under the condition that the operation state data indicate abnormal operation, acquiring the operation abnormal data of the target fault energy storage equipment, and controlling the target fault energy storage equipment to perform fault elimination based on the operation abnormal data.

the operation abnormal data are used for indicating the cloud server to determine an operation stop instruction of the target fault energy storage device according to the operation abnormal data, the operation abnormal data are also used for indicating the cloud server to send the operation stop instruction to the target fault energy storage device, and the operation stop instruction is used for indicating the target fault energy storage device to stop operating according to the operation stop instruction; transmitting the abnormal operation data to the mobile terminal; the operation abnormal data is used for indicating the mobile terminal to determine an abnormality solving instruction according to the operation abnormal data; and receiving an abnormality solving instruction fed back by the mobile terminal, and sending the abnormality solving instruction to the target fault energy storage equipment, wherein the abnormality solving instruction is used for indicating the target fault energy storage equipment to perform fault elimination according to the abnormality solving instruction.

under the condition of inclusion, according to the current fault code, determining a local fault resolution instruction corresponding to the current fault code in a local fault library model; and sending a local fault solving instruction to the target fault energy storage device, wherein the local fault solving instruction is used for indicating the target fault energy storage device to perform fault elimination according to the local fault solving instruction.

In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:

In one embodiment, the computer program when executed by the processor further performs the steps of:

the operation abnormal data are used for indicating the cloud server to determine an operation stop instruction of the target fault energy storage device according to the operation abnormal data, the operation abnormal data are also used for indicating the cloud server to send the operation stop instruction to the target fault energy storage device, and the operation stop instruction is used for indicating the target fault energy storage device to stop operating according to the operation stop instruction; transmitting the abnormal operation data to the mobile terminal; the operation abnormal data is used for indicating the mobile terminal to determine an abnormality solving instruction according to the operation abnormal data; and receiving an abnormality solving instruction fed back by the mobile terminal, and sending the abnormality solving instruction to the target fault energy storage equipment, wherein the abnormality solving instruction is used for indicating the target fault energy storage equipment to perform fault elimination according to the abnormality solving instruction. In one embodiment, the computer program when executed by the processor further performs the steps of:

In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:

It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as Static Random access memory (Static Random access memory AccessMemory, SRAM) or dynamic Random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims

1. A method of troubleshooting an energy storage device, the method comprising:

aiming at any fault information, generating a current fault code corresponding to the current fault information according to the current fault information; determining a target fault energy storage device according to the device type identifier carried in the current fault information; each piece of fault information corresponds to a fault code; each energy storage device comprises a corresponding local fault library model; the local fault library model stores fault codes and fault solving instructions corresponding to fault types of various energy storage devices, and the fault codes and the fault solving instructions are used for finding the corresponding fault solving instructions according to the fault codes; the fault energy storage equipment comprises a fault line and a non-fault line; any line failure in the energy storage device will result in an overall failure of the energy storage device; determining whether a local fault library model corresponding to the target fault energy storage equipment comprises the current fault code or not according to the target fault energy storage equipment corresponding to the current fault information;

If the cloud server does not include the current fault code and the equipment type identifier carried by the current fault information, the current fault code and the equipment type identifier carried by the current fault information are used for indicating, the cloud server determines a cloud fault resolution instruction based on the stored fault codes corresponding to the stored equipment type identifiers, the current fault code and the equipment type identifier carried by the current fault information, the equipment type identifiers carried by the current fault code and the current fault information are also used for indicating the cloud server to send the cloud fault resolution instruction to the target fault energy storage equipment, and the cloud fault resolution instruction is used for indicating the target fault energy storage equipment to control the fault line to stop running according to the cloud fault resolution instruction; acquiring running state data of the target fault energy storage equipment in the normal running process of the non-fault line; determining that the target faulty energy storage device has failed if the operational status data indicates that operation is normal; acquiring operation abnormality data of the target fault energy storage device under the condition that the operation state data indicate operation abnormality, and sending the operation abnormality data to the cloud server, wherein the operation abnormality data are used for indicating the cloud server to determine an operation stop instruction of the target fault energy storage device according to the operation abnormality data, the operation abnormality data are also used for indicating the cloud server to send the operation stop instruction to the target fault energy storage device, and the operation stop instruction is used for indicating the target fault energy storage device to stop operation according to the operation stop instruction; transmitting the abnormal operation data to a mobile terminal; the operation abnormal data are used for indicating the mobile terminal to determine an abnormality solving instruction according to the operation abnormal data; and receiving the abnormality solving instruction fed back by the mobile terminal, and sending the abnormality solving instruction to the target fault energy storage device, wherein the abnormality solving instruction is used for indicating the target fault energy storage device to perform fault elimination according to the abnormality solving instruction.

2. The method according to claim 1, wherein the method further comprises:

and adding the current fault code and the abnormality solving instruction into the local fault library model, and reporting the current fault code, the equipment type identifier carried by the current fault information and the abnormality solving instruction to the cloud server to instruct the cloud server to store the current fault code, the equipment type identifier carried by the current fault information and the abnormality solving instruction.

3. The method according to claim 1, wherein the method further comprises:

determining whether the current fault code is included in a local fault library model corresponding to the target fault energy storage device; under the condition of inclusion, according to the current fault code, determining a local fault resolution instruction corresponding to the current fault code in the local fault library model;

and sending the local fault resolution instruction to the target fault energy storage device, wherein the local fault resolution instruction is used for indicating the target fault energy storage device to perform fault removal according to the local fault resolution instruction.

4. An energy storage device troubleshooting apparatus, the apparatus comprising:

the code determining module is used for generating a current fault code corresponding to the current fault information according to the current fault information aiming at any fault information; determining a target fault energy storage device according to the device type identifier carried in the current fault information; each piece of fault information corresponds to a fault code; each energy storage device comprises a corresponding local fault library model; the local fault library model stores fault codes and fault solving instructions corresponding to fault types of various energy storage devices, and the fault codes and the fault solving instructions are used for finding the corresponding fault solving instructions according to the fault codes; the fault energy storage equipment comprises a fault line and a non-fault line; any line failure in the energy storage device will result in an overall failure of the energy storage device; determining whether a local fault library model corresponding to the target fault energy storage equipment comprises the current fault code or not according to the target fault energy storage equipment corresponding to the current fault information;

The fault clearing module is used for sending the current fault code and the equipment type identifier carried by the current fault information to a cloud server under the condition that the fault clearing module does not include the current fault code and the equipment type identifier carried by the current fault information, wherein the current fault code and the equipment type identifier carried by the current fault information are used for indicating, and the cloud server determines a cloud fault solving instruction based on stored fault codes corresponding to a plurality of stored equipment type identifiers, the current fault code and the equipment type identifier carried by the current fault information, and the current fault code and the equipment type identifier carried by the current fault information are also used for indicating the cloud server to send the cloud fault solving instruction to the target fault energy storage equipment, and the cloud fault solving instruction is used for indicating the target fault energy storage equipment to control the fault line to stop running according to the cloud fault solving instruction; acquiring running state data of the target fault energy storage equipment in the normal running process of the non-fault line; determining that the target faulty energy storage device has failed if the operational status data indicates that operation is normal; acquiring operation abnormality data of the target fault energy storage device under the condition that the operation state data indicate operation abnormality, and sending the operation abnormality data to the cloud server, wherein the operation abnormality data are used for indicating the cloud server to determine an operation stop instruction of the target fault energy storage device according to the operation abnormality data, the operation abnormality data are also used for indicating the cloud server to send the operation stop instruction to the target fault energy storage device, and the operation stop instruction is used for indicating the target fault energy storage device to stop operation according to the operation stop instruction; transmitting the abnormal operation data to a mobile terminal; the operation abnormal data are used for indicating the mobile terminal to determine an abnormality solving instruction according to the operation abnormal data; and receiving the abnormality solving instruction fed back by the mobile terminal, and sending the abnormality solving instruction to the target fault energy storage device, wherein the abnormality solving instruction is used for indicating the target fault energy storage device to perform fault elimination according to the abnormality solving instruction.

5. The apparatus of claim 4, wherein the apparatus is further configured to: and adding the current fault code and the abnormality solving instruction into the local fault library model, and reporting the current fault code, the equipment type identifier carried by the current fault information and the abnormality solving instruction to the cloud server to instruct the cloud server to store the current fault code, the equipment type identifier carried by the current fault information and the abnormality solving instruction.

6. The apparatus of claim 4, wherein the apparatus is further configured to: determining whether the current fault code is included in a local fault library model corresponding to the target fault energy storage device; under the condition of inclusion, according to the current fault code, determining a local fault resolution instruction corresponding to the current fault code in the local fault library model; and sending the local fault resolution instruction to the target fault energy storage device, wherein the local fault resolution instruction is used for indicating the target fault energy storage device to perform fault removal according to the local fault resolution instruction.

7. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 3 when the computer program is executed.

8. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 3.