A charging pile and a self-healing charging method and system thereof

Abstract

The present application relates to a kind of charging pile and its self-healing charging method, system, belong to charging pile technical field, in the operation process of charging pile, in response to monitoring that charging pile fails event, determine the event type of fault event;According to the event type after determining, the self-healing operation of this event type is executed, to make charging pile normal operation;Wherein, event type and self-healing operation are one-to-one corresponding;The event type includes any one or two or more in hardware event, software event, power and electrical event, realize seamless switching from hardware, software service continuous availability, power abnormal safety protection to whole link no feeling self-healing of active early warning of operation and maintenance.

Description

Technical Field

[0001] This invention relates to a charging pile and its self-healing charging method and system, belonging to the field of charging pile technology. Background Technology

[0002] Existing charging stations are prone to charging interruptions due to issues such as power module failure, communication outages, and power grid fluctuations. In such cases, manual intervention is required to restore charging service, resulting in a poor charging experience for users and high maintenance costs for manufacturers.

[0003] The Chinese invention patent application with publication number CN120971861A discloses a rapid detection, diagnosis, and debugging system for DC charging piles. This system employs 16 independent analog signal acquisition channels and 8 digital signal acquisition channels to achieve parallel data acquisition. It utilizes CUDA streaming technology to activate parallel processing units matching the number of detection channels. A hierarchical diagnostic mechanism is employed, using a fast shallow model for initial fault screening on the GPU and a deep model for precise fault analysis on the CPU. Combined with a charging pile fault identification model, this system enables real-time monitoring of the charging pile's operating status and precise fault identification and location. While achieving rapid fault identification, the identification process involves the fusion of multiple models and the introduction of multiple algorithms, which places high demands on the acquisition of charging pile operating data and increases development and maintenance costs.

[0004] Chinese invention patent application CN120445301A discloses a charging pile fault diagnosis method based on state-time segmentation. This method involves acquiring current, voltage, temperature, and charging mode signals of the charging pile in real time through a multi-source synchronous acquisition module to construct multimodal data. A dynamic window optimization algorithm based on reinforcement learning adaptively generates time-series window parameters according to charging mode switching and power change rate, solving the data segmentation failure problem of fixed windows in fast / slow charging scenarios. Nonlinear transformation is applied to the time-series data segments to extract weak fault features buried by noise. Event-triggered synchronization of asynchronous multimodal data eliminates time misalignment interference. Multidimensional features are fused to output fault probabilities, and a diagnostic report is generated by combining time continuity merging and confidence rating to accurately locate the fault occurrence time and type. However, this application only generates a diagnostic report and does not perform corresponding self-healing operations based on the report's content.

[0005] Therefore, while existing charging pile fault detection technologies are relatively mature, a charging pile is an integrated whole of software, hardware, network, and electrical components. If any aspect malfunctions, it will prevent it from achieving "seamless self-healing." Summary of the Invention

[0006] The purpose of this invention is to provide a charging pile and its self-healing charging method and system to solve the problem that charging piles in the prior art cannot perform multi-faceted self-healing of faults.

[0007] To address the aforementioned technical problems, the first aspect of this invention provides a self-healing charging method for charging piles, comprising the following steps: 1) During the operation of the charging pile, in response to the detection of a fault event in the charging pile, determine the event type of the fault event; 2) Based on the determined event type, execute the self-healing operation for that event type to ensure the charging pile operates normally; there is a one-to-one correspondence between event types and self-healing operations; The event types include any one or two or more of hardware events, software events, and power and electrical events.

[0008] In one possible implementation, the hardware events include charging module events and external device events; wherein, performing a self-healing operation based on the determined event type includes: When the event type of the fault event is a charging module event, control the backup redundant charging module to perform a charging operation; When the event type of the fault event is an external device event, stop the operation of the faulty external device, control other non-faulty external devices and their interaction channels to collect user demand commands; in response to user demand commands, execute charging operations.

[0009] In one possible implementation, when the event type of the fault event is an external device event, it also includes: generating an external device warranty instruction containing the identifier of the faulty external device, its mileage number, and a timestamp, to remind maintenance personnel to repair the faulty external device according to the information in the external device warranty instruction.

[0010] In one possible implementation, the software events include communication interruption events and software exception events; wherein, performing a self-healing operation based on the determined event type includes: When the event type of the fault event is a communication interruption event, the communication link that was interrupted is identified, and the communication quality of the communication link is monitored; when the communication quality reaches the preset quality requirements for communication link switching, the system switches to the backup communication link; information is transmitted during the operation of the charging pile based on the backup communication link to ensure the normal operation of the charging pile. When the event type of the fault event is a software exception event, control the abnormal software to perform a restart operation or update the abnormal software; run the restarted or updated software to make the charging pile run normally.

[0011] In one possible implementation, the power supply and electrical events include input power failure events and output power failure events; wherein, performing a self-healing operation based on the determined event type includes: When the fault event type is an input power abnormality event, the current abnormality level is determined based on the monitored input voltage, frequency and three-phase balance; according to the pre-defined hierarchical protection strategy for all abnormality levels and their protection strategies, the protection strategy for the current abnormality level is determined, and self-healing operation is performed according to the strategy to ensure the normal operation of the charging pile. When the fault event is classified as an abnormal output power event, the output power of the charging pile is adjusted according to the pre-defined operating rules for power limits of the power grid load at different times, so that the charging pile can operate normally.

[0012] In one possible implementation, the protection strategy for the current anomaly level is determined according to a pre-defined hierarchical protection strategy for all anomaly levels and their protection strategies, including: When the current anomaly level is a Level 1 anomaly that reflects slight fluctuations, the anomaly is recorded. When the current anomaly level is a Level 2 anomaly that reflects instantaneous fluctuations, the control disconnects the charging pile output load and performs a resumption charging operation after a preset delay. When the current anomaly level is Level 3, which reflects continuous fluctuations, the charging pile hardware is locked and an alarm is triggered.

[0013] In one possible implementation, when the fault event is an abnormal output power event, the method further includes: when the temperature of the charging pile's own heat sink reaches a preset temperature threshold, determining that the charging pile is in an overheated operating state, and controlling the output power of the charging pile to decrease.

[0014] In one possible implementation, it also includes: an operation and maintenance platform that is remotely connected to several charging piles to monitor the operation data of all charging piles and to determine the operation status of each charging pile based on the operation data of each charging pile. When any charging pile is in a lifespan alarm state, a troubleshooting work order containing the remaining lifespan of the charging pile is generated so that the charging pile can be replaced before the remaining lifespan is reached. When the operating status of all charging piles corresponding to a certain region / model is abnormal, it is determined that a cluster failure has occurred in that region / model. A high-priority troubleshooting work order is generated to remind maintenance personnel to conduct the first investigation of the charging piles in that region / model.

[0015] To address the aforementioned technical problems, a second aspect of the present invention provides a self-healing charging system for a charging pile, comprising a processor, characterized in that the processor executes a computer program to implement the steps of the method in any of the possible implementations of the first aspect of the present invention.

[0016] To address the aforementioned technical problems, a third aspect of the present invention provides a charging pile, including a self-healing charging system. The system includes a processor for executing a computer program to implement the steps of the method in any of the possible implementations of the first aspect of the present invention.

[0017] The beneficial effects of this invention are as follows: during the operation of the charging pile, in response to the detection of a fault event in the charging pile, the event type of the fault event is determined; according to the determined event type, a self-healing operation of that event type is executed to enable the charging pile to operate normally; wherein, there is a one-to-one correspondence between the event type and the self-healing operation; the event type includes any one or two or more of hardware events, software events, power and electrical events, realizing seamless self-healing across the entire chain from seamless hardware switching, continuous availability of software services, power anomaly safety protection to proactive operation and maintenance early warning. Attached Figure Description

[0018] Figure 1 This is a flowchart of a self-healing charging method for a charging pile proposed in this invention; Figure 2 This is a flowchart of a self-healing charging method for charging piles proposed in this invention in a practical application scenario; Figure 3 This is a structural diagram of a self-healing charging system for a charging pile proposed in this invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0020] The inventive concept of this invention lies in addressing the inability of existing technologies to achieve true "seamless self-healing." This invention proposes a method and system for seamless self-healing of charging piles based on multi-level redundancy and intelligent collaboration. Through comprehensive design in four aspects—hardware, network and software, power supply and electrical systems, and operation and maintenance platform—it achieves rapid self-diagnosis, self-isolation, self-recovery, or self-degradation of faults, and precisely triggers operation and maintenance intervention when necessary, thereby greatly improving the availability, reliability, and user experience of charging piles. This method / system is particularly suitable for scenarios with extremely high reliability requirements, such as public fast-charging networks, highway service areas, and public transport and logistics stations, providing a solid infrastructure guarantee for the widespread adoption of electric vehicles. Through redundant charging module units, hot-swappable key peripherals, and redundant charging-related information units, it deeply integrates intelligent network communication, adaptive power management, and a predictive operation and maintenance platform, forming a multi-level collaborative self-healing system.

[0021] Detailed implementation method 1: like Figure 1The diagram shows a flowchart of a self-healing charging method for a charging pile proposed in this invention, which includes steps S11 and S12, specifically: Step S11: During the operation of the charging pile, in response to the detection of a fault event in the charging pile, the event type of the fault event is determined. Here, the event type includes any one or two or more of hardware events, software events, and power and electrical events. The hardware event refers to an event caused by a fault in the charging pile's hardware equipment, including but not limited to power modules, external devices, etc. The external devices include but are not limited to card readers, displays, status light boards, and voice speakers. The software event refers to a fault event related to the software running on the charging pile, including but not limited to communication link interruption, software "freezing" during software operation, and software awaiting upgrade. The power and electrical event refers to an event caused by abnormal input power or abnormal output power of the charging pile, including but not limited to abnormal fluctuations in input power and continuous high power output.

[0022] Step S12: Based on the determined event type, execute the self-healing operation for that event type to enable the charging pile to operate normally. Here, there is a one-to-one correspondence between the event type and the self-healing operation, that is, different event types correspond to different self-healing operations. The self-healing operation is the operation of the charging pile to deal with the fault of the corresponding event type.

[0023] Through the above steps S11-S12, real-time monitoring of charging piles is achieved from hardware, software and power supply electrical aspects, and self-healing operations are performed for the corresponding event types of the detected fault events, reducing the number of times charging is interrupted during operation and improving the user charging experience.

[0024] Method Detailed Implementation 2: Following the above specific embodiment 1 of the present invention, the hardware events include charging module events and external device events; when the event type of the charging pile failure event detected in step S11 is a charging module event, the self-healing operation performed in step S12 according to the charging module event is to control the backup redundant charging module to perform the charging operation, thereby avoiding the phenomenon of insufficient output power caused by charging module damage or aging.

[0025] When the event type detected in step S11 as an external device event during a charging pile malfunction is detected, step S12 performs the following self-healing operation based on the external device event: stopping the operation of the malfunctioning external device, controlling other non-malfunctioning external devices and their interaction channels to collect user request commands, and executing charging operations in response to user request commands. Simultaneously, to ensure timely handling of malfunctioning external devices, when an external device event is detected during a charging pile malfunction, an external device warranty instruction containing the identifier of the malfunctioning external device, its corresponding charging pile number, and a timestamp is generated to remind maintenance personnel to repair the malfunctioning external device according to the information in the warranty instruction.

[0026] The software events include communication interruption events and software exception events. When the event type of the charging pile failure event detected in step S11 is a communication interruption event, step S12 performs a self-healing operation based on the communication interruption event, which involves determining the communication link that is interrupted and monitoring the communication quality of the communication link. When the communication quality reaches the preset quality requirement for switching the communication link, the system switches to the backup communication link. Information is transmitted during the operation of the charging pile based on the backup communication link to ensure the normal operation of the charging pile and avoid the system from being unable to communicate normally due to the interruption of the current communication link or the quality falling below the threshold.

[0027] When the event type of the charging pile failure event detected in step S11 is a software abnormal event, step S12 performs a self-healing operation based on the software abnormal event, which is to control the abnormal software to perform a restart operation or update the abnormal software; run the restarted or updated software to make the charging pile run normally; here, when controlling the abnormal software to perform a restart operation or update operation, it can respond to the restart / update control command issued by the controller at the charging pile itself, or it can respond to the restart / update control command issued by the remote operation and maintenance platform connected to the charging pile.

[0028] The power and electrical events include input power abnormality events and output power abnormality events. When the event type of the charging pile fault event detected in step S11 is an input power abnormality event, the self-healing operation performed in step S12 is to determine the current input power abnormality level based on the monitored input voltage, frequency, and three-phase balance. Here, a corresponding normal fluctuation range and abnormal classification threshold are pre-set for each monitoring parameter. For example, the line voltage rated value is 380V (50Hz), and the normal fluctuation range is 361V~399V (±5%); the frequency rated value is 50Hz, and the normal fluctuation range is 49.5Hz~50.5Hz.

[0029] For the input voltage parameter, the abnormal levels are set as level L1, level L2, and level L3. Among them, the parameter thresholds for each level are as follows: Level L1: 90% ≤ U ≤ 110%, but the fluctuation time < 100 ms; Level L2: 85% ≤ U < 90% or 110% < U ≤ 120%, and the duration > 200 ms; Level L3: U < 85% or U > 120% or phase loss, and the duration > 3 s.

[0030] For the frequency parameter, the abnormal levels are set as level L1, level L2, and level L3. Among them, the parameter thresholds for each level are as follows: Level L1: 49 Hz ≤ f ≤ 51 Hz, and when the fluctuation time < 100 ms; Level L2: When 48 Hz ≤ f < 49 Hz or 51 Hz < f ≤ 52 Hz, and the duration > 200 ms; Level L3: When f < 48 Hz or f > 52 Hz, and the duration > 1 s.

[0031] For the three-phase balance parameter, first set the voltage unbalance degree used to reflect the three-phase balance situation =(V_neg) / (V_pos) × 100%; Then, based on the voltage unbalance degree, set the abnormal classification thresholds. Specifically, the abnormal levels are set as level L1, level L2, and level L3. Among them, the parameter thresholds for each level are as follows: Level L1: 2% < ≤ 5%, and the time < 100 ms; Level L2: 5% < ≤ 10%, and the duration > 200 ms; Level L3: > 10% or single-phase disconnection / phase loss, and the duration > 1 s.

[0032] When more than one monitoring parameter reaches the abnormal level, select the highest abnormal level from the determined abnormal levels as the current system abnormal level, and merge and report the reasons.

[0033] According to the pre-defined hierarchical protection strategy for all input power supply anomalies and their protection policies, the protection strategy for the current input power supply anomaly level is determined, and self-healing operations are performed according to this strategy to ensure the normal operation of the charging pile. Here, the fluctuation situation and hierarchical protection strategy reflected by each anomaly level are as follows: L1 level: slight fluctuation, short-term (<200ms) exceeding the limit. Does not affect equipment safety, the charging pile does not act or only records. L2 level: recoverable anomaly, parameter exceeds the limit but does not exceed the hardware tolerance limit, lasting from tens of milliseconds to several seconds, which is an instantaneous fluctuation. The charging pile protection unit automatically disconnects the output load and attempts to restore the output after a delay (e.g., 500ms). If the restoration is successful, it reports "self-recovery completed". If it fails or L2 occurs again, it is upgraded to L3. L3 level: permanent fault, parameter severely exceeds the limit or continues to exceed the timeout (≥3s), and the hardware may be damaged. The charging pile hardware is locked (e.g., disconnecting the contactor / solid-state relay), an audible and visual alarm is issued, and the specific cause is reported via communication (e.g., "phase A voltage is missing, voltage 12V, lasting 5s"). Manual reset and maintenance are required.

[0034] When the event type of the charging pile failure event detected in step S11 is an abnormal output power event, step S12 performs a self-healing operation based on the abnormal output power event. This involves adjusting the output power of the charging pile according to the pre-defined operating rules for power limits of the grid load at different times, so that the charging pile can operate normally. In addition, when the temperature of the charging pile's own heat sink reaches a preset temperature threshold, it is determined that the charging pile is in an overheated operating state, and the output power of the charging pile is reduced.

[0035] Through the above methods, the charging pile can perform self-healing operations by classifying and grading fault events during operation.

[0036] Method Detailed Implementation 3: In addition, during the operation of the charging pile, the operation and maintenance platform remotely connected to the charging pile will collect, count, and monitor the operation data of each charging pile in real time, including but not limited to the operation-related information of each device in the charging pile, so as to judge the operation status of the charging pile, and judge whether there is a predictive maintenance warning, cluster fault analysis, and whether a fault reporting instruction from the charging pile has been received based on the obtained operation data of each charging pile. When it is determined that there is a predictive maintenance warning or cluster fault of the charging pile or a fault reporting instruction from the charging pile has been received, a corresponding troubleshooting work order is generated.

[0037] Based on the operational data of each charging pile, and combined with a pre-trained charging pile lifespan model, the remaining lifespan of each charging pile can be obtained. When the remaining lifespan of a charging pile reaches the preset lifespan alarm threshold, the operating status of the charging pile is determined to be a lifespan alarm state. At the same time, a troubleshooting work order containing the remaining lifespan of the charging pile is generated so that the charging pile can be replaced before the remaining lifespan of the charging pile is reached.

[0038] Based on the operational data of all charging piles and combined with big data analysis, when the operational status of charging piles in a certain area / model is all faulty, it is determined that a cluster fault has occurred, and a high-priority troubleshooting work order is generated to remind operators to check the charging piles in that area / model first.

[0039] Method Detailed Implementation 4: The following will refer to the accompanying drawings in the instruction manual. Figure 2 The self-healing charging method for a charging pile proposed in this invention will be explained and described.

[0040] like Figure 2 The diagram shows a flowchart of a self-healing charging method for charging piles proposed in this invention in a practical application scenario. In response to the charging pile startup, the system powers on and automatically enters a continuous operation and monitoring state. Specifically, the charging pile is monitored in real time in all aspects: the system synchronously performs hardware monitoring (such as power module status monitoring, external device function detection, etc.), software monitoring (such as monitoring whether the software execution is "frozen" / upgrade, etc.), network monitoring (such as monitoring whether the communication link is interrupted, etc.), power monitoring, and platform monitoring (such as input power monitoring, operation and maintenance platform monitoring, etc.).

[0041] When no fault events are detected during the operation of the charging pile, the normal charging interaction process is executed, and the corresponding charging pile status is generated until charging is complete. When a fault event is detected during the operation of the charging pile, three types of events (hardware events, software events, and power and electrical events) are determined: When a hardware event is identified, further steps are taken: if it is a power module failure (i.e., a charging module event), the backup redundant charging module is controlled to perform a charging operation, thereby seamlessly switching to the backup redundant charging module; if it is an external device event, the main controller at the charging pile locks the operation of the faulty external device and starts other non-faulty external devices and their interaction channels to collect user demand commands, thereby responding to the user demand commands and performing a charging operation.

[0042] When a software event is identified, further steps are taken: If the primary communication link is interrupted (i.e., a communication interruption event), preferably a 4G / 5G link, then the 4G / 5G will switch to a backup Ethernet link; if the software is an anomaly, preferably the software will be restarted via a remote restart command or updated via silent OTA. If the issue is a software interaction or payment failure, a detailed and clear semantic alert will be generated to help the user understand the problem.

[0043] When a power supply and electrical event is identified, self-healing is preferably performed according to the graded protection strategy. Furthermore, when the current power supply abnormality level is a level 2 abnormality (i.e., transient fluctuation), the system will automatically restart and recover after a safe shutdown. When the current power supply abnormality level is a level 1 abnormality (i.e., permanent fault), the system will immediately cut off power and lock out the equipment, protect the equipment, and report the precise cause.

[0044] Meanwhile, the operation and maintenance platform, remotely connected to the charging piles, monitors the operational data of each charging pile and confirms the operational status of each charging pile based on the operational data of all charging piles. During monitoring on the operation and maintenance platform, predictive maintenance warnings, cluster fault analysis, and fault reporting are executed. When it is confirmed that the operational status of a charging pile is in a lifespan alarm state, a troubleshooting work order containing the remaining lifespan of the charging pile is generated so that the charging pile can be replaced before the remaining lifespan is reached. When it is confirmed that the operational status of all charging piles in a certain area / model is faulty, a cluster fault is determined, and a highest priority troubleshooting work order is generated to remind operation and maintenance personnel to check the charging piles in that area / model first.

[0045] The system enables tiered fault diagnosis and decision-making: millisecond-level hardware fault handling (e.g., the main control module isolates and switches the charging module when it overheats), second-level communication / software fault handling (e.g., automatic switching to a backup link when the main communication is interrupted; if software freeze is detected, it can wait for a remote restart command or recover automatically during idle periods), continuous power supply fault feedback (e.g., immediate protection shutdown and reporting of the specific cause when a phase loss is detected), and peripheral fault or lifespan warnings (e.g., the main controller locks and reports faulty peripherals; the platform analyzes data and issues lifespan warnings). For fault diagnosis, it implements multi-strategy self-healing: seamless takeover: healthy power modules take over the load without the user noticing; automatic degradation: negotiating power reduction with the vehicle when power is insufficient; proactively limiting power when the grid dispatch or the device itself overheats; channel switching: guiding the user to use the backup channel when charging fails. Silent recovery: automatically completing restart or firmware update during periods without vehicles. It achieves closed-loop operation and maintenance linkage: all fault information and warning information are synchronized to the operation and maintenance platform. This allows the platform to intelligently generate and allocate work orders (emergency on-site repair, planned preventative replacement, and centralized troubleshooting) based on fault type, urgency, and geographical location. Maintenance personnel can accurately locate problems through work orders and efficiently complete repairs with the corresponding spare parts.

[0046] System Specific Implementation Method 1: This invention also proposes a self-healing charging system for charging piles, wherein, see [link to relevant documentation]. Figure 3 As shown, the preferred system includes a hardware redundancy and intelligent management subsystem, a network and software self-healing subsystem, a power supply and electrical adaptive protection subsystem, and an intelligent operation and maintenance and predictive early warning platform.

[0047] The hardware redundancy and intelligent management subsystem includes: a redundant charging module group: providing backup redundant charging modules, which are activated when a charging module is damaged or its output power is insufficient due to aging (i.e., a charging module event occurs); and a critical peripheral redundancy and hot-swappable management unit: implementing modular hot-swappable design and status monitoring for human-computer interaction components such as card readers, displays, status indicator boards, and voice speakers. When any peripheral device fails (i.e., an external device event occurs), the main controller locks and disables it at the software level and automatically switches to other normal peripheral combinations to ensure the charging process continues. At the same time, it generates and reports accurate fault information to the operation and maintenance platform.

[0048] The network and software self-healing subsystem includes: a dual-mode / multi-mode communication module: with a built-in primary cellular communication link and a backup wired Ethernet link, it monitors the quality of the primary link in real time and automatically and seamlessly switches over in case of interruption (i.e., communication interruption event) to ensure service continuity; a remote management and silent update module: preferably using the operation and maintenance platform to remotely issue soft restart commands during idle periods (i.e., when a software anomaly event occurs); adopting a silent OTA (Over-the-Air Technology) strategy (the silent OTA strategy refers to a technical solution that automatically completes remote firmware or software upgrades without user intervention, interruption of current services, pop-up prompts, or forced restarts), completing firmware download, update, and restart during periods when there is no vehicle charging; and an intelligent interaction and payment fault tolerance module: converting internal fault codes into semantic guidance that users can understand; automatically activating backup interaction or payment processes when payment or communication fails.

[0049] The power supply and electrical adaptive protection subsystem includes: an input power real-time monitoring and protection unit: continuously monitoring input voltage, frequency, and three-phase balance, and performing graded protection when an abnormality occurs (i.e., when an input power abnormality event occurs; at this time, the graded protection is to attempt self-recovery for instantaneous fluctuations and lock out alarms for permanent faults) and reporting the specific cause; and an output power adaptive adjustment unit: when an output power abnormality event occurs, dynamically adjusting the maximum output power according to the background dispatch instructions or its own heat dissipation status to achieve overload protection and flexible grid adjustment.

[0050] The intelligent operation and maintenance and predictive early warning platform includes: a predictive maintenance early warning module: based on a lifespan model of charging cycles and runtime, it generates early warning work orders before the core components of the charging pile fail (i.e., the charging pile's operating status is in a lifespan alarm state), triggering planned replacement; and a cluster fault analysis and intelligent work order dispatch module: through big data analysis of the status of the regional charging pile cluster, it automatically generates high-priority troubleshooting work orders for high-frequency faulty piles or "zombie piles" (i.e., the operating status of charging piles corresponding to a certain area / model is all abnormal), and assigns operation and maintenance personnel nearby.

[0051] Through the collaborative work of the above four subsystems, seamless self-healing across the entire chain is achieved, from seamless switching in the event of hardware failure, continuous availability of software services, safety protection against power anomalies to proactive early warning for operation and maintenance.

[0052] System Specific Implementation Method 2: Next, in the specific implementation method 1 of the above-described system of the present invention, each sub-module will be explained in detail.

[0053] In the hardware redundancy and intelligent management subsystem, the redundant power module group and high-speed switching controller will be equipped with a backup redundant charging module. When the charging module is damaged or aged, resulting in insufficient output power, the charging pile will activate the redundant module during charging, instead of reducing the power or even shutting down.

[0054] Key Peripheral Redundancy and Hot-Swap Management Unit: Key human-machine interface components of the charging pile, such as the card reader, display screen, status indicator board, and voice speaker, adopt a modular design and support hot-swapping. The main controller continuously monitors the working status of each peripheral. When a persistent fault is detected in a peripheral (such as the card reader), it automatically locks and disables it at the software level and simultaneously sends a warranty certificate containing the faulty component identifier, charging pile number, and timestamp to the cloud-based maintenance platform via the communication module. Maintenance personnel can carry intact components for on-site replacement without downtime troubleshooting, achieving proactive maintenance. Furthermore, when multiple charging peripherals are involved, such as a charging pile equipped with a screen, external QR code, indicator board, and card reader, if the screen is damaged, users can charge via the external QR code or by swiping a card, and confirm the charging process through the indicator board, ensuring that the failure of a single peripheral will not affect user charging.

[0055] In the network and software self-healing subsystem, the dual-mode / multi-mode communication module has a built-in 4G / 5G cellular communication as the primary link, while also equipped with an Ethernet interface as a backup wired link. The communication management module monitors the quality of the primary link in real time. When the primary link is determined to be interrupted or its quality falls below a threshold, the system automatically and seamlessly switches to the backup link within seconds, ensuring uninterrupted transmission of control commands, status reports, and payment information.

[0056] Remote management and silent OTA update strategy: The operation and maintenance platform can remotely issue "soft reboot" commands, which are executed when the charging pile is idle and without vehicles, to clear residual memory errors and restore the software state. Firmware upgrades adopt a silent OTA strategy: the upgrade package is downloaded in the background, and the system automatically selects a time period at night when there are no charging tasks to complete the firmware update and reboot, fix known bugs, and achieve seamless function upgrades.

[0057] Intelligent Interaction and Payment Fault Tolerance Strategy: The fault prompt system undergoes semantic reform, converting internal fault codes into clear, understandable, and actionable instructions for users. The payment process is fault-tolerant: When BMS communication fails, the screen displays "BMS communication failure, please disconnect the vehicle and try charging again" instead of the traditional "BMS communication failure," guiding the user through the subsequent process.

[0058] In the power supply and electrical adaptive protection subsystem, the input power real-time monitoring and protection unit—the power grid monitoring unit—continuously and with high precision monitors the input voltage, frequency, and three-phase balance. When an anomaly is detected (such as excessive voltage drop, single-phase loss, or frequency deviation), a safety shutdown protection is immediately initiated, and the specific and precise cause of the fault (such as "A-phase voltage loss") is reported to the platform. For transient fluctuations, the system can attempt automatic restart and recovery after the fluctuation ends; for permanent faults, it remains locked and alarms are triggered, awaiting maintenance.

[0059] Output power adaptive adjustment unit: dynamically adjusts the maximum allowable output power according to two dimensions: first, it receives the background dispatch instructions and actively limits the power during peak grid load periods; second, it automatically reduces the derated operation when overheating based on its own radiator temperature and other conditions to prevent overload-triggered protection shutdown.

[0060] In the intelligent operation and maintenance and predictive early warning platform, the predictive maintenance early warning module performs lifespan model statistics on the core components of each charging pile (such as contactors, fans, and power modules), including charging cycles and operating time. When the data predicts that a component is about to reach the end of its lifespan, the platform automatically generates an early warning work order and dispatches it to the operation and maintenance personnel to arrange planned replacement and avoid failures.

[0061] Cluster Fault Analysis and Intelligent Work Order Dispatch Module: Based on big data analysis, the platform monitors the operational status of the charging pile cluster in real time. If a specific charging pile of a certain type frequently experiences specific charging failure errors in a certain area, or if a pile has no successful charging records for several consecutive days after being reported as a fault, the system automatically identifies it as a potential difficult fault or a "zombie pile," immediately generates a high-priority work order, and assigns the nearest maintenance personnel to the site for thorough investigation and resolution.

[0062] On the other hand, the present invention also proposes a charging pile, which includes a self-healing charging system. This system includes a processor for executing a computer program to implement the self-healing charging method for the charging pile proposed in this invention. Furthermore, specific implementation methods of the charging pile can be found in method implementation methods 1-4 and system implementation methods 1-2, and will not be repeated here.

[0063] In summary, the beneficial effects of the present invention are as follows: 1) Comprehensive fault response: The self-healing capability is extended from the core power hardware to the entire system, including network, software, power supply, and human-computer interaction, thus achieving more comprehensive high availability assurance.

[0064] 2) Intelligent recovery strategy: For different fault types and levels, the system automatically selects the most reasonable recovery strategy (such as seamless switching, reduced operation, channel switching, and silent update) to maximize service continuity while ensuring safety.

[0065] 3) Proactive operation and maintenance: By locking and reporting peripheral device faults and predictive maintenance based on big data, a large number of operation and maintenance actions are transformed from "emergency repair after failure" to "planned prevention before failure" and "precise location during failure", which greatly improves operation and maintenance efficiency and reduces downtime.

[0066] 4) Humanized user experience: Semantic fault guidance, payment fault tolerance design, and automatic and seamless handling of most faults significantly reduce user confusion and waiting time, and improve charging service satisfaction and brand loyalty.

[0067] 5) Refined system management: The combination of adaptive power supply regulation and intelligent platform scheduling not only protects the safety of the equipment itself, but also has the potential to participate in the flexible regulation of the power grid, thus realizing more refined energy and equipment management.

Claims

1. A self-healing charging method for a charging pile, characterized in that, Includes the following steps: 1) During the operation of the charging pile, in response to the detection of a fault event in the charging pile, determine the event type of the fault event; 2) Based on the determined event type, execute the self-healing operation for that event type to ensure the charging pile operates normally; there is a one-to-one correspondence between event types and self-healing operations; The event types include any one or two or more of hardware events, software events, and power and electrical events.

2. The self-healing charging method for a charging pile according to claim 1, characterized in that, The hardware events include charging module events and external device events; wherein, the step of performing a self-healing operation based on the determined event type includes: When the event type of the fault event is a charging module event, control the backup redundant charging module to perform a charging operation; When the event type of the fault event is an external device event, stop the operation of the faulty external device, control other non-faulty external devices and their interaction channels to collect user demand commands; in response to user demand commands, execute charging operations.

3. The self-healing charging method for a charging pile according to claim 2, characterized in that, When the event type of the fault event is an external device event, it also includes: generating an external device warranty instruction containing the identifier of the external device with the fault, its chainage number, and a timestamp, so as to remind maintenance personnel to repair the faulty external device according to the information in the external device warranty instruction.

4. The self-healing charging method for a charging pile according to claim 1, characterized in that, The software events include communication interruption events and software exception events; wherein, the step of performing a self-healing operation based on the determined event type includes: When the event type of the fault event is a communication interruption event, the communication link that was interrupted is identified, and the communication quality of the communication link is monitored; when the communication quality reaches the preset quality requirements for communication link switching, the system switches to the backup communication link; information is transmitted during the operation of the charging pile based on the backup communication link to ensure the normal operation of the charging pile. When the event type of the fault event is a software exception event, control the abnormal software to perform a restart operation or update the abnormal software; run the restarted or updated software to make the charging pile run normally.

5. The self-healing charging method for a charging pile according to claim 1, characterized in that, The power and electrical events include input power abnormality events and output power abnormality events; wherein, the step of performing a self-healing operation based on the determined event type includes: When the fault event type is an input power abnormality event, the current abnormality level is determined based on the monitored input voltage, frequency and three-phase balance; according to the pre-defined hierarchical protection strategy for all abnormality levels and their protection strategies, the protection strategy for the current abnormality level is determined, and self-healing operation is performed according to the strategy to ensure the normal operation of the charging pile. When the fault event is classified as an abnormal output power event, the output power of the charging pile is adjusted according to the pre-defined operating rules for power limits of the power grid load at different times, so that the charging pile can operate normally.

6. The self-healing charging method for a charging pile according to claim 5, characterized in that, Based on the pre-defined hierarchical protection strategy for all anomaly levels and their protection strategies, the protection strategy for the current anomaly level is determined to include: When the current anomaly level is a Level 1 anomaly that reflects slight fluctuations, the anomaly is recorded. When the current anomaly level is a Level 2 anomaly that reflects instantaneous fluctuations, the control disconnects the charging pile output load and performs a resumption charging operation after a preset delay. When the current anomaly level is Level 3, which reflects continuous fluctuations, the charging pile hardware is locked and an alarm is triggered.

7. The self-healing charging method for a charging pile according to claim 5, characterized in that, When the event type of the fault event is an abnormal output power event, it also includes: when the temperature of the charging pile's own heat sink reaches a preset temperature threshold, determining that the charging pile is in an overheated operating state, and controlling the output power of the charging pile to decrease.

8. The self-healing charging method for a charging pile according to claim 1, characterized in that, Also includes: The operation and maintenance platform, which is remotely connected to several charging piles, monitors the operation data of all charging piles and determines the operation status of each charging pile based on the operation data of each charging pile. When any charging pile is in a lifespan alarm state, a troubleshooting work order containing the remaining lifespan of the charging pile is generated so that the charging pile can be replaced before the remaining lifespan is reached. When the operating status of all charging piles corresponding to a certain region / model is abnormal, it is determined that a cluster failure has occurred in that region / model. A high-priority troubleshooting work order is generated to remind maintenance personnel to conduct the first investigation of the charging piles in that region / model.

9. A self-healing charging system for a charging pile, comprising a processor, characterized in that, The processor executes a computer program to implement the steps of the method according to any one of claims 1-8.

10. A charging pile, characterized in that, The system includes a self-healing charging system, which includes a processor for executing a computer program to implement the steps of the method according to any one of claims 1-8.

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