System applied to vehicle-pile-cloud platform and charging pile wireless communication method

Abstract

The invention belongs to the technical field of electric vehicle platforms, and particularly relates to a system applied to a vehicle-pile-cloud platform and a charging pile wireless communication method. A wireless CAN module is additionally installed on a charging pile, CAN bus getting-on-pile communication data is packaged and then sent to a cloud platform through a wireless communication module, and when the cloud platform monitors that a large model of the operation state of the charging pile sends out a fault early warning, the cloud platform sends an early warning instruction to a local server. When a fault occurs, the local server sends a high-frequency monitoring instruction to the corresponding charging pile, and after the charging pile receives the instruction, the sampling step length is shortened to a millisecond level through the program-controlled variable-step-length sampling module, so that working condition data of the charging pile before the fault occurs can be accurately recorded. Networking transformation of existing charging equipment can be achieved, efficient monitoring and operation and maintenance tasks of a charging operator are achieved, and the program control variable step size sampling module can ensure that working condition data are recorded in detail before a charging pile fault occurs, and follow-up fault attribution analysis is reserved.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric vehicle platforms, and in particular relates to a system applied to a vehicle-pile-cloud platform and a wireless communication method for charging piles. Background Art

[0002] In recent years, with the rapid development of battery big data platforms and edge computing technologies, cloud-based battery management systems (CBMS) have attracted widespread attention in the electric vehicle sector. However, within the "vehicle-pile-cloud" platform architecture, there are gaps in the design of wireless communication modules and variable-step sampling modules for charging piles. This has hindered the transition of a large number of existing charging piles to connected vehicles, and also hindered the accurate monitoring of data from charging piles under transient operating conditions. Summary of the Invention

[0003] Based on the shortcomings of the existing technology, the present invention designs a system architecture of a "vehicle-pile-cloud" platform and a charging equipment module transformation method, so that charging equipment operators have the ability to estimate the health status of the battery system during the charging process.

[0004] The object of the present invention is achieved through the following technical solutions:

[0005] The first aspect of the present invention is to provide a system for a vehicle-pile-cloud platform, comprising: an electric vehicle, a charging pile, a local server at the charging station, a cloud platform, and a user terminal. The charging pile is responsible for collecting data and uploading it to the local server while supplying power to the electric vehicle. The local server at the charging station is used to receive and cache charging pile data, exchange data with the cloud, and process local needs. The cloud platform is used for a large model to run on the cloud, diagnose the battery health status of the uploaded data, and return the diagnosis results. The user terminal allows users to obtain the battery health diagnosis results through a small program or a local printer at the charging station. It is characterized in that a wireless CAN module is installed on the charging pile, and the vehicle-pile communication data on the CAN bus is packaged and sent to the cloud platform via the wireless communication module. At the same time, an API interface is set and deployed on the cloud platform to realize the wireless communication transformation of the charging equipment. When the large model of the cloud platform monitoring the operating status of the charging pile issues a fault warning, the cloud platform will send a warning instruction to the local server, and the local server will send a high-frequency monitoring instruction to the corresponding charging pile. After receiving the instruction, the charging pile shortens the sampling step to the millisecond level through a programmable variable step sampling module to ensure that the charging pile operating condition data before the fault occurs can be accurately recorded.

[0006] Furthermore, the charging pile obtains the voltage, current, and temperature data of the vehicle battery system by communicating with the on-board battery management system BMS; at the same time, it collects the output voltage, current, temperature, and charging time data of the pile body. The charging pile transmits the collected data to the local server of the charging station through a local area network or wireless communication.

[0007] Furthermore, after receiving the charging pile data, the local server performs a preliminary analysis, including: basic validity verification of the data and comparison with historical data to preliminarily determine whether any abnormalities are found, and performs data cleaning to remove noise, outliers and redundant information to ensure the accuracy and consistency of the data.

[0008] Furthermore, the local server communicates with the cloud through a wide area network, and the data is encrypted using TLS / SSL protocol during upload to the cloud platform.

[0009] Furthermore, after receiving the data, the cloud platform conducts an in-depth analysis of the battery health status through data-driven models and machine learning algorithms. The diagnosis includes the battery's SOH, future battery life prediction, and detection of abnormal battery behavior. After the diagnostic results are generated, they are returned to the local server of the charging station through the API interface.

[0010] Furthermore, the cloud platform analyzes the uploaded battery data, monitors the operating status of the charging piles, evaluates their usage and health status, predicts possible future failures, identifies abnormal operating modes, provides early warning of potential problems, and automatically sends maintenance notifications to operation and maintenance personnel.

[0011] Furthermore, the local server receives the battery health status diagnosis results from the cloud and performs subsequent processing. The results include the current health status of the battery, recommended maintenance measures, and suggestions for adjusting charging behavior.

[0012] Furthermore, the local server integrates with the WeChat mini-program to send diagnostic results to users. Users can scan the QR code on the charging pile or the bound vehicle information to view the charging report in real time through the WeChat mini-program. The report content includes: battery health status, recommended battery maintenance time, charging and usage suggestions, historical charging and discharging records and trend analysis charts.

[0013] The second aspect of the present invention is to provide a wireless communication method for a charging pile of the system, the steps of which are as follows:

[0014] Step 1. The programmable variable-step sampling module in the charging pile control module collects the DC output of the charging pile at a normal sampling step and sends the data to the MCU;

[0015] Step 2. The CAN communication module receives data transmitted by the vehicle-side BMS and sends it to the MCU;

[0016] Step 3. After the MCU packages the CAN bus data, it sends the data to the local server of the charging station through the CAN to wireless communication module;

[0017] Step 4. The wireless communication module continuously monitors control instructions. If a high-frequency sampling instruction is received, the MCU controls the programmable variable-step sampling module to collect high-frequency data. This detailed record of the operating data before the charging pile failure occurs is sent to the local server of the charging station for subsequent fault attribution analysis.

[0018] This paper proposes a "vehicle-pile-cloud" big data platform architecture for the charging process of electric vehicles, aiming to optimize battery state of health (SOH) estimation and fault diagnosis during the charging process. The platform uses the on-board battery management system (BMS) to obtain battery data (such as voltage, current, temperature, state estimation, etc.) from the vehicle in real time, and transmits the data to the cloud for centralized processing and analysis through far-field wireless communication technology. On the cloud platform, the combination of distributed large-scale computing resources and advanced battery health estimation algorithms makes SOH assessment more accurate and supports safe monitoring of the charging process.

[0019] The introduction of the "car-pile-cloud" platform allows for the effective retrofitting of existing charging pile equipment to meet the requirements of CBMS. To address the upgrade needs of charging pile equipment, the inventors also designed a system architecture and model deployment solution, and proposed a cost-effective and potentially scalable charging pile equipment retrofit solution. This retrofit solution enables existing equipment to meet the technical requirements of the new system architecture while maintaining low costs, enhancing the system's scalability and accessibility. This solution enables onboard battery system health estimation during the charging process, meeting the efficiency and safety requirements of electric vehicle charging.

[0020] The advantages and positive effects of the present invention are:

[0021] 1. The system architecture used in the "vehicle-pile-cloud" platform can perform battery system health status estimation tasks for the vehicle charging process, allowing charging operators to monitor vehicle charging safety and estimate the health status of users' onboard battery systems. It also monitors the operating status of charging piles and provides early warning of charging pile failures.

[0022] 2. The wireless communication module retrofit solution for existing charging equipment applied to the "vehicle-pile-cloud" platform can achieve the networked transformation of existing charging equipment, enabling charging operators to perform efficient monitoring and operation and maintenance tasks. The programmable variable-step sampling module retrofit solution ensures that the operating condition data before the charging pile failure occurs is recorded in detail for subsequent fault attribution analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is the system architecture diagram of the "car-pile-cloud" platform;

[0024] Figure 2 is the charging pile control diagram; DETAILED DESCRIPTION

[0025] The present invention will be further described in detail below through specific examples. The following examples are only illustrative and not restrictive, and the scope of protection of the present invention cannot be limited thereto.

[0026] First, we established Figure 1 The "car-pile-cloud" platform architecture shown in the figure. The system mainly consists of five parts: electric vehicles, charging piles, local servers at charging stations, cloud platforms, and user terminals. The charging piles are responsible for data collection and uploading to local servers while supplying power to electric vehicles; the local servers at charging stations are used to receive and cache charging pile data, exchange data with the cloud, and process local needs; the cloud platform is used for large models to run in the cloud, perform battery health status diagnosis on uploaded data, and return diagnosis results. The user terminal (WeChat applet or report printer) enables users to obtain battery health diagnosis results through the applet or the local printer at the charging station. The system workflow is as follows:

[0027] Step 1. Data collection and local transmission

[0028] When a user arrives at a charging station and plugs the charging gun into the electric vehicle's charging port, the charging station and the vehicle's battery management system (BMS) exchange key information, such as vehicle identification, battery type, charging power requirements, and voltage level. The charging station communicates with the BMS to obtain data such as the vehicle's battery system's voltage, current, and temperature. It also collects data such as the charging station's output voltage, current, temperature, and charging time. The charging station transmits this collected data to the station's local server via a local area network (LAN) or wireless communication (such as Wi-Fi or LoRa). The local server performs preliminary data processing, such as parsing, cleaning, and formatting, to ensure the effectiveness of subsequent analysis.

[0029] Step 2. Data processing and caching on local servers

[0030] After receiving the charging pile data, the local server performs a preliminary analysis, which mainly includes: basic data validity verification (such as data format, collection time, and data value range) and historical data comparison to preliminarily determine whether any anomalies are found. Data cleaning is then performed to remove noise, outliers, and redundant information to ensure data accuracy and consistency. The local server caches the received data to prevent data loss in the event of network interruption or cloud unavailability. At the same time, the server can regularly upload data in batches to the cloud platform according to the set frequency or data volume threshold. Batch uploading of data can reduce network load and optimize transmission performance.

[0031] The charging station communicates with the local server via the local area network, while the local server communicates with the cloud via the wide area network. Standard protocols (such as TCP / IP, MQTT, and HTTP) are used to ensure efficient and stable communication.

[0032] Step 3. Data upload and cloud processing

[0033] The local server uploads the processed data to the cloud platform via a secure communication protocol (such as HTTPS, MQTT). During the upload process, the TLS / SSL encryption protocol is used to ensure the confidentiality and integrity of the data. After receiving the data, the cloud platform conducts an in-depth analysis of the battery health status using data-driven models and machine learning algorithms (such as battery health status prediction models based on historical data and deep learning fault detection models). Diagnosis includes the battery's SOH (state of health), future battery life prediction, and detection of abnormal battery behavior (such as overcharging, over-discharging, overheating, etc.). After the diagnostic results are generated, they are returned to the local server of the charging station through the API interface.

[0034] The cloud platform not only analyzes uploaded battery data but also monitors the operating status of charging piles, assessing their usage and health, and predicting potential future failures. By comprehensively processing real-time charging pile data, the platform can identify abnormal operating patterns, provide early warnings of potential problems, and automatically send maintenance notifications to operations personnel. This optimizes the frequency and method of charging pile maintenance, reducing unplanned downtime and significantly improving equipment availability and operational efficiency.

[0035] Step 4. Local server result processing and user feedback

[0036] The local server receives and processes battery health diagnostic results from the cloud. These results include the battery's current health, recommended maintenance measures, and suggestions for adjusting charging behavior. The local server integrates with the WeChat mini-program to send diagnostic results to users. Users can view real-time charging reports through the WeChat mini-program by scanning the QR code on the charging station or the associated vehicle information. Reports may include battery state of health (SOH), recommended battery maintenance schedules, charging and usage recommendations, historical charge and discharge records, and trend analysis charts.

[0037] In the "car-pile-cloud" platform system architecture, there are gaps in the design of wireless communication modules and variable-step sampling modules for charging piles. This prevents a large number of existing charging piles from achieving networked transformation and also prevents accurate monitoring of data from charging piles under transient conditions. Based on this, the present invention further designs and improves the design and modification of wireless communication and variable-step sampling modules for charging piles.

[0038] A wireless CAN module is installed on the existing charging pile, and the "vehicle-pile" communication data (BMS communication data) on the CAN bus is packaged and sent to the cloud platform through the wireless communication module. At the same time, the API interface is designed and deployed on the cloud platform to realize the wireless communication transformation of the charging equipment. The hardware structure is as follows Figure 2 shown.

[0039] When the cloud platform's large model monitoring the operating status of the charging pile issues a fault warning, the cloud platform will send a warning instruction to the local server, and the local server will send a high-frequency monitoring instruction to the corresponding charging pile. After receiving the instruction, the charging pile will shorten the sampling step to the millisecond level through the programmable variable step sampling module, ensuring that the charging pile operating condition data before the fault occurs can be accurately recorded.

[0040] The working process of the charging pile after wireless communication transformation is as follows:

[0041] Step 1. The programmable variable-step sampling module in the charging pile control module collects the DC output (voltage / current) of the charging pile at a normal sampling step (seconds) and sends the data to the MCU;

[0042] Step 2. The CAN communication module receives data transmitted by the vehicle-side BMS and sends it to the MCU;

[0043] Step 3. After the MCU packages the CAN bus data, it sends the data to the local server of the charging station via the CAN to wireless communication module (Wi-Fi CAN module). (After the charging pile device is installed at the factory, you need to configure the network connection parameters, set a static or dynamic IP address, and ensure that the device can communicate with the charging station server.)

[0044] Step 4. The wireless communication module continuously monitors control instructions. If a high-frequency sampling instruction is received, the MCU controls the programmable variable-step sampling module to perform high-frequency data acquisition (millisecond level). This detailed record of the operating data before the charging pile failure occurs is sent to the local server of the charging station for subsequent fault attribution analysis.

[0045] The above description is only a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several modifications and improvements without departing from the inventive concept, and these all fall within the scope of protection of the present invention.

Claims

1. A system applied to a vehicle-pile-cloud platform, comprising: Electric vehicle, charging pile, local server of charging station, cloud platform and user end, wherein the charging pile is responsible for data collection and uploading to the local server while supplying power to the electric vehicle; the local server of the charging station is used to receive and cache charging pile data, and exchange data with the cloud to handle local needs; the cloud platform is used for the large model to run in the cloud, diagnose the battery health status of the uploaded data, and return the diagnosis result, and the user end can allow users to obtain the battery health diagnosis result through the applet or the local printer of the charging station, which is characterized in that a wireless CAN module is installed on the charging pile, and the vehicle-pile communication data on the CAN bus is packaged and sent to the cloud platform through the wireless communication module, and an API interface and deployment are set on the cloud platform to realize the wireless communication transformation of the charging equipment. When the large model of the cloud platform monitoring the operating status of the charging pile issues a fault warning, the cloud platform will send a warning instruction to the local server, and the local server will send a high-frequency monitoring instruction to the corresponding charging pile. After receiving the instruction, the charging pile shortens the sampling step to milliseconds through the program-controlled variable step sampling module to ensure that the charging pile working condition data before the fault occurs can be accurately recorded.

2. The system according to claim 1, characterized in that The charging pile obtains the voltage, current and temperature data of the vehicle battery system by communicating with the on-board battery management system BMS; at the same time, it collects the output voltage, current, temperature and charging time data of the pile body. The charging pile transmits the collected data to the local server of the charging station through the local area network or wireless communication.

3. The system according to claim 1, characterized in that After receiving the charging pile data, the local server performs a preliminary analysis, including: basic validity verification of the data and comparison with historical data to preliminarily determine whether any abnormalities are found, and performs data cleaning to remove noise, outliers and redundant information to ensure the accuracy and consistency of the data.

4. The system according to claim 1, characterized in that The local server communicates with the cloud through a wide area network, and the TLS / SSL encryption protocol is used when uploading data to the cloud platform.

5. The system according to claim 1, characterized in that After receiving the data, the cloud platform conducts an in-depth analysis of the battery health status through data-driven models and machine learning algorithms. The diagnosis includes the battery's SOH, future battery life prediction, and detection of abnormal battery behavior. After the diagnosis results are generated, they are returned to the local server of the charging station through the API interface.

6. The system according to claim 1, characterized in that The cloud platform analyzes the uploaded battery data, monitors the operating status of the charging piles, evaluates their usage and health, predicts possible future failures, identifies abnormal operating modes, warns of potential problems in advance, and automatically sends maintenance notifications to operation and maintenance personnel.

7. The system according to claim 1, characterized in that The local server receives the battery health status diagnosis results from the cloud and performs subsequent processing. The results include the current health status of the battery, recommended maintenance measures, and suggestions for adjusting charging behavior.

8. The system according to claim 1, characterized in that The local server is integrated with the WeChat applet to send the diagnostic results to the user. The user can scan the QR code on the charging pile or the bound vehicle information to view the charging report in real time through the WeChat applet. The report content includes: battery health status, recommended battery maintenance time, charging and usage recommendations, historical charging and discharging records and trend analysis charts.

9. The charging pile wireless communication method of the system according to claim 1, characterized in that: Here are the steps: Step 1. The program-controlled variable-step sampling module in the charging pile control module collects the DC output of the charging pile with a normal sampling step and sends the data to the MCU; Step 2. The CAN communication module receives the data transmitted by the vehicle-side BMS and sends it to the MCU; Step 3. After the CAN bus data is packaged in the MCU, it is sent to the local server of the charging station through the CAN to wireless communication module; Step 4. The wireless communication module continuously monitors control instructions. If a high-frequency sampling instruction is received, the MCU will be used to control the programmable variable-step sampling module to collect high-frequency data, record the operating data before the charging pile failure occurs in detail, and send it to the local server of the charging station for subsequent fault attribution analysis.

Images