Intelligent charging pile control system based on new energy automobile

Abstract

The invention provides an intelligent charging pile control system based on a new energy automobile. The intelligent charging pile control system comprises a communication module, a data processing module, a charging power adjusting module, a safety protection module, a user interaction module, a cloud management platform, a power supply checking and recording module, an information backup and transmission module and a second-hand power supply monitoring module. The power supply checking and recording module is connected with a new energy automobile power supply system, detects and records parameters such as battery capacity and internal resistance, generates a power supply state report, realizes comprehensive detection and recording of the power supply parameters, provides data support for battery maintenance and fault diagnosis, assists an automobile owner to know the battery condition, and improves the safety of the automobile. A basis is provided for reasonable use and maintenance of a battery, basic data is also provided for subsequent battery management, the information backup transmission module locally backs up a power supply state report and transmits the report to a vehicle merchant service platform, the module realizes backup and transmission of power supply information, and a vehicle merchant can timely obtain detailed information of a vehicle power supply.

Description

Technical Field

[0001] This invention belongs to the field of Internet of Things control systems, specifically an intelligent charging pile control system based on new energy vehicles. Background Technology

[0002] Intelligent charging pile control systems are key facilities for enabling convenient and efficient charging of new energy vehicles, ensuring the stability and intelligence of the charging process through multi-module collaboration. However, in practical applications, there are common problems such as incomplete detection of core battery parameters (such as capacity, internal resistance, and voltage distribution) and insufficient data recording and analysis capabilities. This makes it difficult to provide reliable support for accurate battery maintenance, fault diagnosis, and full life cycle management, affecting vehicle owners' understanding of battery status and the provision of subsequent services.

[0003] Publication number CN111538285B describes an intelligent charging pile control system for new energy vehicles. This system addresses the problem by incorporating a vehicle information collection module, a main control module, and a charging pile detection module. The vehicle information collection module gathers information from new energy vehicles on highways, the charging pile detection module monitors the status of charging piles and parking spaces, and the main control module coordinates the intelligent control of the system to allocate charging pile and parking space usage, avoiding resource waste and malicious occupation, and optimizing the balance of charging pile usage.

[0004] However, the aforementioned technical methods do not include effective solutions for in-depth battery testing and recording, and cannot comprehensively obtain core parameters such as battery capacity and internal resistance to generate detailed status reports. This results in a lack of basic data support for battery maintenance and fault diagnosis, and charging without knowing the battery's health can be dangerous. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention provides an intelligent charging pile control system based on new energy vehicles, which solves the problems mentioned in the background art.

[0006] An intelligent charging pile control system based on new energy vehicles includes the following modules: Communication module: It is used for information interaction between new energy vehicles and charging piles. It adopts communication protocols such as CAN bus, WiFi, 4G / 5G to realize the real-time acquisition of battery status information and charging demand information. Data processing module: Receives battery status and charging demand information transmitted by the communication module, and predicts the battery charging process and time through data analysis algorithms and artificial intelligence technology, and generates the optimal charging strategy. It has information processing and strategy formulation functions. Charging power adjustment module: Based on the charging strategy generated by the data processing module, combined with grid load monitoring and battery status monitoring, it uses power conversion technology and intelligent control algorithms to realize the dynamic adaptive adjustment function of charging power. Safety protection module: Real-time monitoring of parameters such as current, voltage, and temperature during the charging process. When abnormal conditions such as overcurrent, overvoltage, overheating, or short circuit are detected, protective operations such as cutting off power and reducing power are performed, providing safety protection during the charging process. User interaction module: Provides users with interactive interfaces such as touch screen, buttons, and voice recognition, supports functions such as charging pile status query, charging parameter setting, and payment operation, and displays information such as charging power, time, and cost to users in real time, realizing human-computer interaction and information display functions; Cloud management platform: It connects to the charging pile via the Internet, receives the operating status, charging data, fault information, etc. uploaded by the charging pile, supports managers to perform remote software upgrades, parameter adjustments and other maintenance operations on the charging pile, and has the function of remote management and monitoring of charging piles. Power supply inspection and recording module: Connects to the power system of new energy vehicles, performs comprehensive testing on parameters such as battery capacity, internal resistance, voltage distribution, and cycle life, records the test results in real time, generates a power status report, and realizes the function of power parameter detection and recording. Information backup and transmission module: It performs local backup of the power status report generated by the power check record module and transmits it to the corresponding car dealer service platform via the network, providing data support for car dealer after-sales service and battery maintenance, and has information backup and transmission functions. Used power supply monitoring module: It obtains information such as vehicle identification code and manufacturing date, and combines it with the test results of the power supply inspection record module to determine whether the vehicle is a new energy vehicle that is about to expire within three to five years. If it does, it will issue a reminder through the user interaction module, realizing the function of judging and reminding about the near-expiration status of the power supply of used new energy vehicles.

[0007] Preferably, the communication module includes a protocol adaptive switching unit, which automatically switches to a backup communication protocol when the signal quality of the current communication protocol is detected to be lower than a threshold, so as to ensure the continuity of information interaction.

[0008] Preferably, the data analysis algorithm of the data processing module includes a deep learning model, which is trained based on historical charging data to predict the temperature change trend and charging efficiency decay curve during the battery charging process.

[0009] Preferably, the charging power adjustment module includes a power grid load prediction unit, which adjusts the charging power in advance by analyzing real-time data and historical electricity consumption patterns of the regional power grid to avoid load surges during peak and off-peak periods.

[0010] Preferably, the safety protection module includes a fault diagnosis expert system, which, based on a library of abnormal charging parameter patterns, provides early warnings and generates maintenance guidance plans when potential faults are detected.

[0011] Preferably, the user interaction module includes a biometric unit that supports fingerprint or facial recognition for user authentication and provides personalized charging options based on the user's historical usage habits.

[0012] Preferably, the cloud management platform includes a big data analysis center, which performs correlation analysis on the operating data of multiple charging piles to generate regional charging demand forecast reports and equipment maintenance scheduling plans.

[0013] Preferably, the power supply inspection and recording module includes a battery health assessment unit, which uses electrochemical impedance spectroscopy to quantitatively assess the degree of degradation of the battery's internal structure.

[0014] Preferably, the information backup and transmission module includes a blockchain evidence storage unit, which performs a hash operation on the power status report and stores it in the consortium blockchain to ensure the immutability and traceability of the data.

[0015] Preferably, the used power monitoring module includes a battery remaining life prediction unit, which combines the battery charge-discharge cycle count, historical temperature data, and calendar aging model to predict the remaining usable life of the battery.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. In use, the power supply check and record module of this invention is connected to the power system of the new energy vehicle, detects and records parameters such as battery capacity and internal resistance, and generates a power status report. This module realizes comprehensive detection and recording of power parameters, provides data support for battery maintenance and fault diagnosis, helps car owners understand the battery status, provides a basis for the reasonable use and maintenance of the battery, and also provides basic data for subsequent battery management.

[0017] 2. In use, the information backup and transmission module of this invention locally backs up the power status report and transmits it to the vehicle dealer service platform. This module realizes the backup and transmission of power information, allowing vehicle dealers to obtain detailed vehicle power information in a timely manner, providing data support for after-sales service and battery maintenance, while ensuring the traceability of power information, laying a data foundation for the full life cycle management of new energy vehicle batteries.

[0018] 3. In use, the used battery monitoring module acquires vehicle information and, combined with the battery detection results, determines whether the vehicle is nearing the end of its lifespan (within three to five years). If so, it alerts the owner. This module enables the identification and alerting of near-expiration status of used new energy vehicle batteries, helping owners understand battery status promptly, identify potential problems early, ensure driving safety, and simultaneously regulate the used new energy vehicle market, increasing market transparency. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the module mesh structure of the present invention; Figure 2 This is a graph showing the trend of power supply parameters of the present invention changing with detection time; Figure 3 This is a distribution diagram of the information backup transmission encryption and network performance parameters of this invention; Figure 4 This is a comparison chart of the performance changes of used new energy vehicle batteries over the years of use. Detailed Implementation

[0020] The embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and should not be construed as limiting the scope of the invention.

[0021] An intelligent charging pile control system based on new energy vehicles includes the following modules: Communication module: It is used for information interaction between new energy vehicles and charging piles. It adopts communication protocols such as CAN bus, WiFi, 4G / 5G to realize the real-time acquisition of battery status information and charging demand information. The communication module is a key unit for information exchange between charging piles and new energy vehicles, constructing a stable data transmission channel through multiple communication protocols. Its core function is to acquire real-time battery status information (such as battery charge, temperature, and health status) and charging demand information (such as charging power and time) from the new energy vehicle, providing data support for subsequent modules. This module has adaptive protocol switching capabilities; when the signal quality of the current communication protocol falls below a threshold, it automatically switches to a backup protocol to ensure continuous information exchange. Furthermore, the communication error rate formula is... , It's the bit error rate. It is the number of error code elements, and It is the total number of symbols transmitted; In addition, the signal quality assessment formula is The signal quality assessment value is Signal-to-noise ratio is The received signal strength indicator is . Data processing module: Receives battery status and charging demand information transmitted by the communication module, and predicts the battery charging process and time through data analysis algorithms and artificial intelligence technology, and generates the optimal charging strategy. It has information processing and strategy formulation functions. The data processing module receives battery status and charging demand information transmitted from the communication module. Using advanced data analysis algorithms and artificial intelligence technology, it predicts the battery charging process and time, and generates the optimal charging strategy. The module's data analysis algorithm includes a deep learning model that can be trained based on historical charging data to accurately predict temperature change trends and charging efficiency degradation curves during battery charging, providing a scientific basis for formulating charging strategies. Furthermore, the battery charging time prediction formula (based on a deep learning model) is The predicted charging time is , These are input features.

[0022] Charging power adjustment module: Based on the charging strategy generated by the data processing module, combined with grid load monitoring and battery status monitoring, it uses power conversion technology and intelligent control algorithms to realize the dynamic adaptive adjustment function of charging power. The charging power adjustment module, based on the charging strategy generated by the data processing module, combines grid load monitoring and battery status monitoring, and utilizes power conversion technology and intelligent control algorithms to achieve dynamic adaptive adjustment of charging power. This module includes a grid load prediction unit, which analyzes real-time data and historical electricity consumption patterns of the regional grid to adjust the charging power in advance, thereby avoiding load surges during peak and off-peak periods and ensuring stable grid operation while improving charging efficiency. In addition, the dynamic adjustment formula for charging power is , This is the target charging power. It is an adjustment coefficient, and It is the power grid load forecasting formula.

[0023] Safety protection module: Real-time monitoring of parameters such as current, voltage, and temperature during the charging process. When abnormal conditions such as overcurrent, overvoltage, overheating, or short circuit are detected, protective operations such as cutting off power and reducing power are performed, providing safety protection during the charging process. User interaction module: Provides users with interactive interfaces such as touch screen, buttons, and voice recognition, supports functions such as charging pile status query, charging parameter setting, and payment operation, and displays information such as charging power, time, and cost to users in real time, realizing human-computer interaction and information display functions; Cloud management platform: It connects to the charging pile via the Internet, receives the operating status, charging data, fault information, etc. uploaded by the charging pile, supports managers to perform remote software upgrades, parameter adjustments and other maintenance operations on the charging pile, and has the function of remote management and monitoring of charging piles. Power supply inspection and recording module: Connects to the power system of new energy vehicles, performs comprehensive testing on parameters such as battery capacity, internal resistance, voltage distribution, and cycle life, records the test results in real time, generates a power status report, and realizes the function of power parameter detection and recording. The power supply inspection and recording module connects to the power system of the new energy vehicle, comprehensively detecting parameters such as battery capacity, internal resistance, voltage distribution, and cycle life, and recording the detection results in real time to generate a power status report, thus realizing the function of power parameter detection and recording. This module includes a battery health assessment unit, which uses electrochemical impedance spectroscopy (EIS) analysis technology to quantitatively assess the degree of degradation of the battery's internal structure, providing detailed data support for battery maintenance and fault diagnosis. In addition, the formula for calculating battery capacity is The battery state of health (SOH) assessment formula (based on internal resistance) is: , This refers to the battery health status. It is the battery's nominal internal resistance. This is the actual measured internal resistance of the battery.

[0024] Information backup and transmission module: It performs local backup of the power status report generated by the power check record module and transmits it to the corresponding car dealer service platform via the network, providing data support for car dealer after-sales service and battery maintenance, and has information backup and transmission functions. The information backup and transmission module locally backs up the power status report generated by the power check and record module and transmits it to the corresponding car dealer service platform via the network, providing data support for car dealer after-sales service and battery maintenance. This module includes a blockchain storage unit that performs hash calculations on the power status report and stores it on the consortium blockchain, ensuring the immutability and traceability of the data and guaranteeing its security and reliability.

[0025] Used power supply monitoring module: It obtains information such as vehicle identification code and manufacturing date, and combines it with the test results of the power supply inspection record module to determine whether the vehicle is a new energy vehicle that is about to expire within three to five years. If it does, it will issue a reminder through the user interaction module, realizing the function of judging and reminding about the near-expiration status of the power supply of used new energy vehicles.

[0026] The used power monitoring module acquires information such as the vehicle identification number and manufacturing date, and combines this information with the test results from the power inspection record module to determine whether the vehicle is a new energy vehicle nearing its expiration date (within three to five years). If so, it issues a reminder through the user interaction module, realizing the function of judging and reminding users of the near-expiration status of the used new energy vehicle's power supply. This module includes a battery remaining life prediction unit, which combines the battery charge-discharge cycle count, historical temperature data, and calendar aging model to predict the remaining usable life of the battery, providing vehicle owners with battery maintenance and replacement suggestions.

[0027] Example 1: Standalone implementation of the power supply check recording module This embodiment mainly demonstrates the standalone application of the power supply check and recording module during the charging process. Operating steps: After the car owner inserts the charging gun into the charging port of the new energy vehicle, the communication module automatically starts and establishes a communication connection with the new energy vehicle through the CAN bus communication protocol to obtain the vehicle's basic information and relevant parameters of the charging port, thus preparing for the work of the power check and record module. The power supply monitoring and recording module establishes a connection with the power system of the new energy vehicle through a dedicated connection cable inside the charging pile. The module's power detection circuit then begins to operate, collecting parameters such as battery capacity, internal resistance, voltage distribution, and cycle life in real time. The data recording unit uses a highly reliable storage chip to record various parameters in real time. During the recording process, the data undergoes preliminary screening and processing to remove obviously abnormal data points, ensuring the accuracy of the recorded data. As data is continuously collected and recorded, the data recording unit generates a detailed power status report according to a preset format. The report includes specific values ​​for various battery parameters, trends in parameter changes, and preliminary analytical conclusions based on this data. The touchscreen of the user interaction module displays the working status of the power check record module, as well as some key parameters collected in real time, such as battery power and battery temperature, so that the car owner can understand the current progress of the power check. In addition, the separate implementation of the power supply check and record module enables comprehensive and accurate inspection and recording of various parameters of the power supply section of new energy vehicles. The generated power status report provides detailed data support for subsequent battery maintenance and fault diagnosis. Vehicle owners can understand the status of their vehicle's battery based on the report, providing a basis for the reasonable use and maintenance of the battery.

[0028] The parameter table is shown in Table 1: Table 1: Characteristic Parameter Table of Power Supply Check Record Module Implementation Separately Example 2: Standalone implementation of the information backup and transmission module. This embodiment mainly demonstrates the standalone application of the information backup and transmission module after charging is complete. Operating steps: During charging, the power check and recording module completes the inspection and recording of the power supply of the new energy vehicle, generates a detailed power status report, and stores the report in the local storage device of the charging pile; the local storage unit of the information backup and transmission module first performs a local backup of the power status report. The local storage unit adopts redundant storage technology, storing the report on multiple storage media to ensure data security and prevent data loss due to storage device failure; The network transmission unit starts up and establishes a connection with the Internet through the 4G / 5G communication protocol. Before transmitting data, the power status report is encrypted using advanced encryption algorithms, such as AES encryption algorithm, to ensure the security and integrity of data during transmission and prevent data from being stolen or tampered with. The network transmission unit transmits the encrypted power status report to the server of the corresponding car dealer's service platform via a secure communication protocol. During transmission, the network connection status is monitored in real time, and automatic retransmission is performed in case of network interruption or other abnormalities to ensure the reliability of data transmission. After receiving the transmitted power status report, the server of the car dealer service platform decrypts and verifies the data to confirm its integrity and accuracy. The data is then stored in the platform's database for easy access and use by administrators and technicians. Furthermore, the separate implementation of the information backup and transmission module enables the timely and secure backup and transmission of new energy vehicle power information to the corresponding dealer service platform. This information allows the dealer service platform to provide car owners with more accurate and efficient after-sales services, such as battery maintenance recommendations and fault warnings, while also providing a data foundation for the full lifecycle management of new energy vehicle batteries.

[0029] The parameter table is shown in Table 2: Table 2: Characteristic Parameters of Individual Implementation of Information Backup and Transmission Module Example 3: Standalone implementation of a used power supply monitoring module.

[0030] This embodiment mainly demonstrates the standalone application of the used power monitoring module when charging used new energy vehicles, determining whether the vehicle is a new energy vehicle nearing its expiration date of three to five years, and taking corresponding measures based on the determination result. Operating steps: When a used new energy vehicle is connected to a charging pile, the communication module establishes a communication connection with the new energy vehicle through the WiFi communication protocol, obtains key information such as the vehicle identification code (VIN), and transmits this information to the used power monitoring module. The vehicle information acquisition unit decodes the received vehicle identification code (VIN) to obtain the vehicle's manufacturing date. The data comparison unit compares the obtained manufacturing date with the current time to calculate the vehicle's service life and determine whether the vehicle is a near-expiration vehicle within three to five years. While determining the vehicle's service life, the data comparison unit combines the power supply inspection record module's test results of the vehicle's power supply section, such as the degree of battery capacity degradation and changes in internal resistance, to comprehensively determine the battery's condition. If the vehicle is determined to be nearing its expiration date within three to five years, the reminder unit will use the voice recognition module and touchscreen of the user interaction module to remind the owner of the battery status and suggestions for possible maintenance or replacement through voice broadcast and text display. If the vehicle is determined not to be nearing its expiration date, the charging power adjustment module will be notified to perform normal charging operation. The user interaction module responds accordingly based on the judgment results of the used power supply monitoring module. When a reminder is needed for the vehicle owner, a prominent reminder message is displayed on the touchscreen and announced via voice; when charging is normal, a normal charging interface and related information are displayed.

[0031] Furthermore, the separate implementation of the used power monitoring module enables strict control over the power status of used new energy vehicles. During charging, it can automatically determine whether the vehicle is a new energy vehicle nearing its expiration date (within three to five years) and promptly remind the owner to pay attention to the battery status or to ensure normal charging. This helps to detect potential battery problems in advance, ensuring driving safety, and also helps to regulate the used new energy vehicle market and improve market transparency.

[0032] The parameter table is shown in Table 3: Table 3: Characteristic Parameters of a Separate Implementation of a Second-hand Power Supply Monitoring Module All embodiments of the present invention are within the scope of protection of this patent.

[0033] The embodiments of the present invention are given for the purposes of illustration and description. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. An intelligent charging pile control system based on new energy vehicles, characterized in that, Includes the following modules: Communication module: It is used for information interaction between new energy vehicles and charging piles. It adopts communication protocols such as CAN bus, WiFi, 4G / 5G to realize the real-time acquisition of battery status information and charging demand information. Data processing module: Receives battery status and charging demand information transmitted by the communication module, and predicts the battery charging process and time through data analysis algorithms and artificial intelligence technology, and generates the optimal charging strategy. It has information processing and strategy formulation functions. Charging power adjustment module: Based on the charging strategy generated by the data processing module, combined with grid load monitoring and battery status monitoring, it uses power conversion technology and intelligent control algorithms to realize the dynamic adaptive adjustment function of charging power. Safety protection module: Real-time monitoring of parameters such as current, voltage, and temperature during the charging process. When abnormal conditions such as overcurrent, overvoltage, overheating, or short circuit are detected, protective operations such as cutting off power and reducing power are performed, providing safety protection during the charging process. User interaction module: Provides users with interactive interfaces such as touch screen, buttons, and voice recognition, supports functions such as charging pile status query, charging parameter setting, and payment operation, and displays information such as charging power, time, and cost to users in real time, realizing human-computer interaction and information display functions; Cloud management platform: It establishes a connection with the charging pile through the Internet, receives the operating status, charging data, fault information, etc. uploaded by the charging pile, supports managers to perform remote software upgrades, parameter adjustments and other maintenance operations on the charging pile, and has the function of remote management and monitoring of charging piles. Power supply inspection and recording module: Connects to the power system of new energy vehicles, performs comprehensive testing on parameters such as battery capacity, internal resistance, voltage distribution, and cycle life, records the test results in real time, generates a power status report, and realizes the function of power parameter detection and recording. Information backup and transmission module: It performs local backup of the power status report generated by the power check record module and transmits it to the corresponding car dealer service platform through the network, providing data support for car dealer after-sales service and battery maintenance, and has information backup and transmission functions. Used power supply monitoring module: It obtains information such as vehicle identification code and manufacturing date, and combines it with the test results of the power supply inspection record module to determine whether the vehicle is a new energy vehicle that is about to expire within three to five years. If it does, it will issue a reminder through the user interaction module, realizing the function of judging and reminding about the near-expiration status of the power supply of used new energy vehicles.

2. The intelligent charging pile control system based on new energy vehicles according to claim 1, characterized in that, The communication module includes a protocol adaptive switching unit, which automatically switches to a backup communication protocol when the signal quality of the current communication protocol is detected to be lower than a threshold, so as to ensure the continuity of information interaction.

3. The intelligent charging pile control system based on new energy vehicles according to claim 1, characterized in that, The data processing module's data analysis algorithm includes a deep learning model, which is trained based on historical charging data to predict the temperature change trend and charging efficiency decay curve during battery charging.

4. The intelligent charging pile control system based on new energy vehicles according to claim 1, characterized in that, The charging power adjustment module includes a power grid load prediction unit, which analyzes real-time data and historical electricity consumption patterns of the regional power grid to adjust the charging power in advance to avoid load impacts during peak and off-peak periods of the power grid.

5. The intelligent charging pile control system based on new energy vehicles according to claim 1, characterized in that, The safety protection module includes a fault diagnosis expert system, which, based on a library of abnormal charging parameter patterns, provides early warnings and generates maintenance guidance plans when potential faults are detected.

6. The intelligent charging pile control system based on new energy vehicles according to claim 1, characterized in that, The user interaction module includes a biometric unit that supports fingerprint or facial recognition for user authentication and provides personalized charging suggestions based on the user's historical usage habits.

7. The intelligent charging pile control system based on new energy vehicles according to claim 1, characterized in that, The cloud management platform includes a big data analysis center, which performs correlation analysis on the operating data of multiple charging piles to generate regional charging demand forecast reports and equipment maintenance scheduling plans.

8. The intelligent charging pile control system based on new energy vehicles according to claim 1, characterized in that, The power supply inspection and recording module includes a battery health assessment unit, which uses electrochemical impedance spectroscopy to quantitatively assess the degree of degradation of the battery's internal structure.

9. The intelligent charging pile control system based on new energy vehicles according to claim 1, characterized in that, The information backup and transmission module includes a blockchain evidence storage unit, which performs a hash operation on the power status report and stores it in the consortium blockchain to ensure that the data is tamper-proof and traceable.

10. The intelligent charging pile control system based on new energy vehicles according to claim 1, characterized in that, The second-hand power monitoring module includes a battery remaining life prediction unit, which combines the battery charge-discharge cycle count, historical temperature data, and calendar aging model to predict the battery's remaining usable life.

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