Intelligent battery car charging control system based on Internet of Things

Abstract

The invention discloses an intelligent battery car charging control system based on the Internet of Things, and belongs to the technical field of battery car charging. The sensing layer is composed of a current sensor, a voltage sensor, a temperature sensor, a smoke sensor and a combustible gas sensor; the network layer adopts Wi-Fi, Bluetooth and 4G / 5G modules to construct a data transmission channel so as to realize short-range and remote transmission of data; the data processing and control layer takes the cloud platform server as a core, receives and analyzes the data of the sensing layer, generates a control instruction and issues the control instruction to the execution layer; and the application layer comprises a user mobile phone application program and a management platform webpage end, and provides diversified application services for a user and a management party. The intelligent, efficient, safe and reliable battery car charging control system is achieved by means of the Internet of Things technology. The charging state of the battery can be monitored in real time, and intelligent adjustment can be performed according to the characteristics and charging requirements of the battery, so that an efficient and energy-saving charging process is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of battery vehicle charging, and in particular to an intelligent battery vehicle charging control system based on the Internet of Things. Background Art

[0002] As the number of electric vehicles continues to rise, the demand for charging in residential areas is increasing day by day. Traditional electric vehicle charging methods face many challenges, such as the lack of precise control during the charging process, which can easily lead to battery damage, the difficulty in real-time monitoring and effective prevention of safety hazards, the inability to reasonably allocate charging resources resulting in waste, and the difficulty for users and managers to easily obtain charging information and interact with each other. The rise of Internet of Things technology provides an opportunity to solve these problems. By connecting various devices and sensors to the network, real-time data collection, transmission and analysis and processing can be achieved, and it is expected to build a more intelligent, safe and efficient electric vehicle charging control system. However, the existing electric vehicle charging technology is insufficient and cannot achieve all-round intelligent control of electric vehicle charging. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent battery vehicle charging control system based on the Internet of Things, which uses the Internet of Things technology to realize an intelligent, efficient, safe and reliable battery vehicle charging control system, which can monitor the charging status of the battery in real time, and perform intelligent adjustments according to the characteristics of the battery and charging requirements to achieve an efficient and energy-saving charging process, and can solve the problems in the prior art.

[0004] To achieve the above purpose, the present invention provides the following technical solution: an intelligent battery vehicle charging control system based on the Internet of Things, comprising:

[0005] Perception layer: It consists of current sensors, voltage sensors, temperature sensors, smoke sensors and combustible gas sensors, which are used to collect physical data during the charging process of the battery vehicle and convert them into electrical signals to provide basic information for subsequent data processing;

[0006] Network layer: Wi-Fi, Bluetooth and 4G / 5G modules are used to build data transmission channels to achieve short-range and long-range data transmission;

[0007] Data processing and control layer: With the cloud platform server as the core, it receives and analyzes the perception layer data, generates control instructions and sends them to the execution layer. It also stores, manages and backs up the system data, providing rich data resources for subsequent data analysis, troubleshooting and system optimization.

[0008] Application layer: includes user mobile applications and management platform web pages, providing users and managers with a variety of application services. Users can interact with the charging system through mobile applications.

[0009] Preferably, the accuracy of the current sensor is 0.01A, the accuracy of the voltage sensor is 0.1V, and the accuracy of the temperature sensor is 0.5°C.

[0010] Preferably, the data processing and control layer can dynamically adjust charging parameters according to battery characteristics and charging status to achieve intelligent charging control.

[0011] Preferably, the system has safety monitoring and early warning functions, and can promptly issue an alarm and take corresponding measures when current overload, temperature abnormality, smoke or combustible gas concentration exceeds the standard, or leakage occurs.

[0012] Preferably, the user mobile phone application of the application layer can realize charging status viewing, remote charging control and personalized charging plan setting, and the management platform web page can perform charging equipment monitoring, data statistical analysis and user management.

[0013] Preferably, the system implements intelligent billing and payment functions based on actual charging power, charging time and electricity price policy, and supports multiple payment methods.

[0014] Compared with the prior art, the present invention has the following beneficial effects:

[0015] The present invention can make intelligent adjustments according to the actual state of the battery and the charging demand, thereby avoiding energy waste and improving the charging efficiency; by accurately controlling the charging process, overcharging and undercharging are avoided, effectively extending the service life of the battery; the temperature and other parameters of the battery are monitored in real time, and once an abnormal situation is found, charging can be stopped in time, ensuring the safety and reliability of the charging process; the display module can provide users with clear and intuitive charging information, making it convenient for users to understand the charging status. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a system architecture diagram of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1 This embodiment provides the following technical solutions: a smart battery vehicle charging control system based on the Internet of Things, the system architecture is as follows:

[0019] Perception layer: It is composed of a variety of sensors distributed in various key parts of the battery vehicle charging equipment, including high-precision current sensors for accurately monitoring charging current, with an accuracy of up to 0.01A, which can keenly capture small changes in current; voltage sensors, which can accurately measure charging voltage with an accuracy of 0.1V; temperature sensors, which can sense the temperature of the battery and charging equipment in real time with an accuracy of 0.5℃, and promptly detect abnormal temperature increases; in addition, smoke sensors and combustible gas sensors are also equipped to detect the concentration of smoke and combustible gas in the charging environment to prevent fire accidents; these sensors convert the collected physical data into electrical signals to provide basic information for subsequent data processing. By adding a fire monitor to the original charging control host, the temperature status of the charging line can be monitored in real time through the temperature sensor set in the charging plug. When the temperature rise rate exceeds the preset threshold (for example, 5℃ per minute) or the absolute value of the temperature reaches a dangerous value (such as 70℃), an early warning signal is immediately sent to the control unit and the power is cut off;

[0020] Network layer: Most of the charging piles in residential areas cannot access the wired network. An IoT mobile signal transmitter is installed in the device, and a variety of IoT communication technologies are used to build a stable and efficient data transmission channel. The internal equipment uses a Bluetooth module to achieve short-range data interaction with nearby Bluetooth-enabled devices. The 4G / 5G module ensures that the charging equipment can access the wide area network and upload data to the remote cloud platform, so that managers can centrally manage and monitor charging equipment distributed in different areas in any place with network coverage, without being restricted by geographical location, to achieve true remote control;

[0021] Data processing and control layer: This layer is the core hub of the entire system. The cloud platform server receives massive amounts of perception data transmitted from the network layer and uses advanced data processing algorithms for analysis. For example, by deeply mining historical charging data and real-time charging data, a battery charging model is established, and charging parameters are dynamically adjusted according to the characteristics and charging status of different batteries to achieve the best charging effect and extend battery life. At the same time, the cloud platform server also has powerful logical judgment capabilities. When it receives abnormal data from the perception layer (such as excessive current, excessive temperature, smoke or excessive concentration of flammable gas), it can respond quickly and generate control instructions according to the preset control strategy. These instructions are sent down to the charging device control unit of the execution layer through the network layer. The control unit then accurately controls the charging power and charging status (start, pause, stop) of the charging equipment, effectively ensuring the safety and stability of the charging process. In addition, the data processing and control layer is also responsible for storing, managing and backing up the data of the entire system, providing rich data resources for subsequent data analysis, troubleshooting and system optimization;

[0022] Application layer: Provide diversified application services for different user groups. Users can interact with the charging system through mobile applications (APP). On the APP, users can view the charging status of the battery car in real time, including detailed information such as charging progress percentage, remaining charging time, current charging current and voltage; remotely control the charging process, such as starting or stopping charging in advance while on the way out; set personalized charging plans, such as timed charging function, which can flexibly arrange charging time according to the low and peak periods of electricity consumption to reduce charging costs. For property managers or charging facility operators, all charging equipment within the jurisdiction can be managed uniformly through a dedicated management platform web page. Real-time monitoring of the operating status of each charging device to check whether the equipment is online, whether it is working normally, whether there is a fault alarm and other information; statistical analysis of charging data, generation of charging reports, including daily, weekly, and monthly charging volume statistics, charging times statistics, electricity fee income statistics, etc., to provide data basis for operational decisions; user management can also be performed, such as maintaining user account information, processing user recharge and refund services, viewing user charging history records, etc., to achieve refined management of charging services.

[0023] 1. Hardware Design

[0024] The charging detection module uses high-precision voltage sensors and current sensors to monitor the battery charging voltage and current in real time. For example, the TDKTLV2548 voltage sensor and the H221 current sensor are used, and their measurement accuracy can reach within ±0.1%.

[0025] To accurately measure the battery temperature, use a thermistor temperature sensor, such as the OMRON E52, mounted on the battery surface close to the electrodes.

[0026] 2. System Architecture

[0027] The system is divided into four levels: perception layer, network layer, data processing and control layer, and application layer.

[0028] 3. Charging process

[0029] After connecting the non-motor vehicle and the charging device, the charging detection module first performs an initial detection on the battery, obtains the battery type, specifications and initial status information, and transmits this information to the control module; the control module selects the appropriate charging mode and initial parameters based on the received information, and starts the charging module to start charging; during the charging process, the charging detection module continuously collects real-time data of the battery and updates it multiple times per second; the control module dynamically adjusts the charging parameters according to the predetermined algorithm based on this data; the display module displays relevant charging information in real time, so that the user can understand the charging progress and energy saving at any time; when the battery is fully charged, the control module controls the charging module to stop charging, and prompts the display module that charging is complete.

[0030] Working principle: When a non-motor vehicle is connected to the charging device, the charging detection module starts working and collects data such as the battery voltage, current and temperature in real time. The control module determines the charging status of the battery based on these data, such as whether it is in the initial charging stage, constant current charging stage or constant voltage charging stage. In different charging stages, the control module will send different control signals to the charging module to adjust the output voltage and current of the charging module. In the initial charging stage, the control module will control the charging module to output a larger current to quickly increase the battery power; in the constant current charging stage, the control module will keep the output current of the charging module stable; in the constant voltage charging stage, the control module will gradually reduce the output voltage of the charging module until the battery is fully charged.

[0031] In the actual application scenario, first install the perception layer sensor and the network layer communication module on the battery vehicle charging device, and connect it to the Internet to ensure a stable connection with the cloud platform server. When the user connects the battery vehicle to the charging device for charging, the perception layer sensor starts to collect data and uploads it to the cloud platform server through the network layer. The cloud platform server analyzes and processes the data, determines the optimal charging parameters based on the battery information and charging status, and sends control instructions to the charging device control unit to start the charging process. During the charging process, the system continues to perform safety monitoring and intelligent control, and promptly issues warnings and handles any abnormalities. Users can check the charging status at any time and perform remote control operations through the mobile phone APP, and the management party centrally monitors and manages the charging equipment through the management platform web page. After charging is completed, the system automatically generates a billing bill, and the user completes the payment operation. The entire charging process is safe, intelligent, and efficient.

[0032] To sum up: the present invention uses an intelligent energy-saving control strategy to meet the charging needs of non-motor vehicles while minimizing the energy consumption in the charging process, thereby achieving green and energy-saving charging; through real-time detection of the charging connection status and battery parameters, it can effectively avoid safety hazards such as overcharging and overheating, thereby improving the safety of charging; the use of wireless communication technology and remote monitoring terminals realizes remote monitoring and management of the charging device, facilitating user use and maintenance.

[0033] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0034] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent battery vehicle charging control system based on the Internet of Things, characterized by: include: Perception layer: It consists of current sensors, voltage sensors, temperature sensors, smoke sensors and combustible gas sensors, which are used to collect physical data during the charging process of the battery vehicle and convert them into electrical signals to provide basic information for subsequent data processing; Network layer: Wi-Fi, Bluetooth and 4G / 5G modules are used to build data transmission channels to achieve short-range and long-range data transmission; Data processing and control layer: With the cloud platform server as the core, it receives and analyzes the perception layer data, generates control instructions and sends them to the execution layer. It also stores, manages and backs up the system data, providing rich data resources for subsequent data analysis, troubleshooting and system optimization. Application layer: includes user mobile applications and management platform web pages, providing users and managers with a variety of application services. Users can interact with the charging system through mobile applications.

2. According to the IoT-based intelligent battery vehicle charging control system of claim 1, it is characterized by: The accuracy of the current sensor is 0.01A, the accuracy of the voltage sensor is 0.1V, and the accuracy of the temperature sensor is 0.5°C.

3. According to the IoT-based intelligent battery vehicle charging control system of claim 1, it is characterized by: The data processing and control layer can dynamically adjust charging parameters according to battery characteristics and charging status to achieve intelligent charging control.

4. According to the IoT-based intelligent battery vehicle charging control system of claim 1, it is characterized by: The system has safety monitoring and early warning functions, and can promptly issue an alarm and take corresponding measures when current overload, temperature abnormality, smoke or combustible gas concentration exceeds the standard, or there is a leakage.

5. According to the IoT-based intelligent battery vehicle charging control system of claim 1, it is characterized by: The user mobile phone application of the application layer can realize charging status viewing, remote charging control and personalized charging plan setting, and the management platform web page can monitor charging equipment, perform data statistics analysis and user management.

6. According to the Internet of Things-based intelligent battery vehicle charging control system of claim 1, it is characterized by: The system realizes intelligent billing and payment functions based on actual charging power, charging time and electricity price policy, and supports multiple payment methods.

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