Charging control method and system for non-liquid-cooling large-current charging device

Abstract

The invention discloses a charging control method and system for a non-liquid-cooling large-current charging device, and the method comprises the steps: stage 1, a user sends a charging request, and the charging device determines the battery state of to-be-charged equipment and the state of the charging device after receiving the charging request through a control module; stage 2, based on the battery state and the charging device state, calculating and determining an optimal charging strategy and a charging current upper limit by using an intelligent algorithm, and charging a battery of the to-be-charged equipment; stage 3, monitoring key parameters in the charging process through a monitoring module, and adjusting a charging strategy according to the real-time key parameters; stage 4, gradually reducing the charging current when the battery is nearly fully charged or reaches the preset charging time, and entering a trickle charging stage; and step 5, recording charging data after charging is completed. Through an intelligent algorithm and detection of key parameters in the charging process, related current, voltage and power output can be made, an optimal charging strategy is obtained, and the charging efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of power electronics technology and charging control technology, and in particular to a charging control method and system for a non-liquid-cooled high-current charging device. Background Art

[0002] With the popularization of electric vehicles, energy storage systems and various high-energy electronic devices, the demand for high-current fast charging technology is growing. Although the traditional liquid-cooled charging system can effectively dissipate heat, its high cost and complex structure limit its wide application. Therefore, the development of an efficient, safe, and low-cost non-liquid-cooled high-current charging device and its charging control method has become a hot topic in current research.

[0003] Chinese patent announcement number CN115411813A discloses a charging control method and system, wherein the method includes: obtaining the current charging state of a lithium battery pack; determining a voltage modulation control signal based on the current charging state; and controlling a voltage modulation module connected between a current limiting resistor and a converter to modulate the charging voltage loaded on the lithium battery pack based on the voltage modulation signal. The charging control method of the present invention modulates the voltage output by an output element to a lithium battery pack according to the charging state of the lithium battery through a voltage modulation module, thereby reducing the voltage difference between the output voltage and the charging voltage of the lithium battery pack, reducing the amplitude of the current pulse that may be generated, and thereby protecting the converter and the lithium battery pack from damage by the current pulse; however, the above patent document still has the following defects during implementation:

[0004] Although the above patent can protect the converter and lithium battery pack from damage by current pulses during implementation, it is unable to accurately control the battery during the charging process, improve the charging efficiency, monitor the key parameters of the charging process in real time, and dynamically adjust the charging current. Summary of the invention

[0005] The main purpose of the present invention is to provide a charging control method and system for a non-liquid-cooled high-current charging device, which can effectively solve the problem of being unable to accurately control the battery during the charging process, improve the charging efficiency, and be unable to monitor the key parameters of the charging process in real time and dynamically adjust the charging current.

[0006] To achieve the above object, the technical solution adopted by the present invention is: a charging control method for a non-liquid-cooled high-current charging device, the method comprising:

[0007] Phase 1: The user sends a charging request, and the charging device receives the charging request through the control module and confirms the battery status of the device to be charged and the status of the charging device;

[0008] Phase 2: Based on the battery status and the charging device status, an intelligent algorithm is used to calculate and determine the optimal charging strategy and the upper limit of the charging current, and the battery of the device to be charged is charged;

[0009] Phase 3: Monitor the key parameters of the charging process through the monitoring module and adjust the charging strategy according to the real-time key parameters;

[0010] Stage 4: When the battery is close to full charge or reaches the preset charging time, the charging current is gradually reduced to enter the trickle charging stage;

[0011] Stage 5: Record charging data after charging is completed.

[0012] Preferably, the intelligent algorithm is a model-based estimation method and a neural network algorithm. The intelligent algorithm also includes predicting and adjusting the charging strategy in advance according to the battery temperature change trend. The key parameters include but are not limited to current, voltage, power, ground resistance and insulation resistance.

[0013] Preferably, the charging adjustment strategy includes adjusting the charging current according to the temperature threshold and adjusting the charging strategy according to the change of the battery internal resistance. The trickle charging stage includes intelligently adjusting the trickle charging current according to the remaining battery power and the charging time.

[0014] Preferably, the charging data includes but is not limited to charging time, power increase and maximum temperature.

[0015] In addition, the present invention also provides a charging control system applied to the charging control method of the above-mentioned non-liquid-cooled high-current charging device, the system comprising a control module, a monitoring module, an execution module and a communication module:

[0016] Control module: used to receive charging requests and execute intelligent algorithms to output charging strategies and current control instructions;

[0017] Monitoring module: used to monitor key parameters during charging in real time;

[0018] Execution module: adjusts charging current and controls auxiliary equipment according to the instructions of the control module;

[0019] Communication module: used to communicate with external devices.

[0020] Preferably, the control module adopts a high-performance processor based on the ARM Cortex-M series, and the intelligent algorithm model is a prediction model based on deep learning, which is used to predict the optimal charging strategy and the upper limit of the charging current according to historical charging data, and supports online learning and optimization of the algorithm model.

[0021] Preferably, the monitoring module includes a temperature sensor, a current sensor and a voltage sensor.

[0022] Preferably, the execution module includes a fan control system for controlling the internal ventilation system of the charging device, and a control system for adjusting the battery cooling system, so as to intelligently adjust the ventilation intensity and cooling effect according to the temperature monitoring result.

[0023] Preferably, the communication module includes support for 4G / 5G mobile communication protocols and wireless communication protocols such as Wi-Fi, Bluetooth, etc., to achieve remote real-time monitoring of the charging status and rapid response in emergency situations, while supporting interconnection and collaborative work with other smart devices.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] 1. In the present invention, the charging control method and system can timely make relevant current, voltage and power outputs according to the charging status of the battery through intelligent algorithms and detection of key parameters in the charging process, obtain the optimal charging strategy, realize precise control of the charging process, improve charging efficiency, shorten charging time, monitor key parameters in the charging process in real time, dynamically adjust the charging current, ensure that the battery temperature is within a safe range, avoid overheating and battery damage, and do not require a corresponding liquid cooling system, complex liquid cooling equipment and pipeline systems, thereby greatly reducing the cost and complexity of the charging device. At the same time, due to the use of intelligent algorithms for charging control, the system can more accurately control the charging process, reduce energy waste and invalid losses, and further reduce operating costs.

[0026] 2. In the present invention, the charging control method and system can timely transmit and record the data of the battery charging process to the user through communication simulation, so that the user can understand the charging situation in time, and realize remote monitoring and parameter setting of the charging status through the communication module, thereby improving the intelligent level of charging management. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0028] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0029] A charging control method for a non-liquid-cooled high-current charging device, the method comprising:

[0030] Phase 1: The user sends a charging request, and the charging device receives the charging request through the control module and confirms the battery status of the device to be charged and the status of the charging device;

[0031] Phase 2: Based on the battery status and the charging device status, an intelligent algorithm is used to calculate and determine the optimal charging strategy and the upper limit of the charging current, and the battery of the device to be charged is charged;

[0032] Phase 3: Monitor the key parameters of the charging process through the monitoring module and adjust the charging strategy according to the real-time key parameters;

[0033] Stage 4: When the battery is close to full charge or reaches the preset charging time, the charging current is gradually reduced to enter the trickle charging stage;

[0034] Stage 5: Record charging data after charging is completed.

[0035] After receiving the user's charging request, the non-liquid-cooled high-current charging device calculates and determines the optimal charging method based on the current state of the device to be charged through an intelligent algorithm, and continues to monitor key charging parameters during the charging process. At the same time, the charging method is adjusted in time according to the feedback of the monitoring data. When the battery is close to full charge or reaches the preset charging time, the charging current is gradually reduced and the trickle charging stage is entered. After charging is completed, the data of each charging is automatically recorded.

[0036] The intelligent algorithm is a model-based estimation method and a neural network algorithm. The intelligent algorithm also includes predicting and adjusting the charging strategy in advance based on the battery temperature change trend. Key parameters include but are not limited to current, voltage, power, ground resistance and insulation resistance.

[0037] Model-based estimation method: mainly involves two aspects: the charging model and charging state estimation of the power battery. The power battery charging model is a mathematical model that describes the performance and behavior of the battery during the charging process. Charging state estimation refers to determining the charge state and health state of the power battery through measurement and calculation. Neural network algorithm: Use neural networks to learn the OCV-SOC relationship or other characteristics of the battery to estimate the SOC, so that the battery can improve the charging efficiency and charging strategy during the charging process and extend the battery life.

[0038] The charging adjustment strategy includes adjusting the charging current according to the temperature threshold and adjusting the charging strategy according to the change of the battery internal resistance. The trickle charging stage includes intelligently adjusting the trickle charging current according to the remaining battery power and charging time.

[0039] According to the actual charging situation of the charged device, the charging is adjusted accordingly, the current and voltage are changed to reduce, so as to avoid damage to the charged device. At the same time, when the charging device is almost fully charged, it can enter the trickle charging stage, reduce the current and adjust the charging time, so as to charge the charging device in a protective manner.

[0040] Charging data includes but is not limited to charging time, charge gain, and maximum temperature.

[0041] Recording the data after charging can help users understand the actual situation of each charging and grasp the charging data in real time.

[0042] In addition, the present invention also provides a charging control system applied to the charging control method of the above-mentioned non-liquid-cooled high-current charging device, the system comprising a control module, a monitoring module, an execution module and a communication module:

[0043] Control module: used to receive charging requests and execute intelligent algorithms to output charging strategies and current control instructions;

[0044] Monitoring module: used to monitor key parameters during charging in real time;

[0045] Execution module: adjusts charging current and controls auxiliary equipment according to the instructions of the control module;

[0046] Communication module: used to communicate with external devices.

[0047] When the charging system is started, each module performs a self-check to ensure that the hardware and software are in normal condition. The control module loads the customized intelligent charging algorithm and is ready to receive charging requests. The user initiates a charging request through the user interface, and the request is transmitted to the control module through the communication module. After receiving the charging request, the control module starts to execute the intelligent algorithm and prepares to calculate the charging strategy and current control instructions.

[0048] The control module runs the intelligent charging algorithm based on the current state of the battery, charging requirements, external conditions and other factors. The algorithm calculates the optimal charging strategy and current control instructions, including the size of the charging current, charging time and charging mode.

[0049] The control module transmits the calculated charging strategy and current control instructions to the execution module and the monitoring module through the internal communication bus. At the same time, the control module also transmits the charging status information to the user interface through the communication module so that the user can understand the charging progress and status;

[0050] The temperature sensor, current sensor and voltage sensor in the monitoring module monitor the key parameters of the charging process in real time, such as battery temperature, charging current and charging voltage. The sensor transmits the monitored data to the control module through the internal communication bus. The control module evaluates the status and safety of the charging process in real time based on the data fed back by the monitoring module.

[0051] The execution module accurately adjusts the size and mode of the charging current according to the instructions of the control module. The execution module can also control the operation of related heat dissipation auxiliary equipment. The communication module transmits the charging status information calculated by the control module to the user interface in real time.

[0052] The control module uses a high-performance processor based on the ARM Cortex-M series. The intelligent algorithm model is a prediction model based on deep learning, which is used to predict the optimal charging strategy and charging current upper limit based on historical charging data, and supports online learning and optimization of the algorithm model.

[0053] The ARM Cortex-M series processors run customized intelligent charging algorithms that can accurately control parameters such as charging current, voltage and time to ensure the safety and efficiency of the charging process. They can also monitor key parameters such as battery temperature, charging current and voltage in real time, and feed the data back to the control system so that the charging strategy can be adjusted in a timely manner. This is a conventional technical means in the existing technology.

[0054] The monitoring module includes a temperature sensor, a current sensor and a voltage sensor.

[0055] Temperature sensor: A sensor that senses temperature and converts it into a usable output signal;

[0056] Current sensor: can sense the information of the measured current and convert it into an electrical signal output that meets the standards;

[0057] Voltage sensor: A sensor that can sense the measured voltage and convert it into a usable output signal. The monitoring module transmits the monitored charging data to the user through the communication module through these three sensors. The user can make corresponding adjustments according to personal needs.

[0058] The execution module includes a fan control system for controlling the internal ventilation system of the charging device, and a control system for adjusting the battery cooling system, so as to intelligently adjust the ventilation intensity and cooling effect according to the temperature monitoring results.

[0059] The execution module uses a digitally controlled DC-DC converter through the instructions of the control module to achieve precise regulation of the charging current, and can control auxiliary equipment such as cooling fans to promptly dissipate the heat generated during battery charging. There is no need for a corresponding liquid cooling system, and no need for complex liquid cooling equipment and piping systems, thereby greatly reducing the cost and complexity of the charging device.

[0060] The communication module includes support for 4G / 5G mobile communication protocols and wireless communication protocols such as Wi-Fi and Bluetooth to achieve remote real-time monitoring of charging status and rapid response in emergency situations, while supporting interconnection and collaborative work with other smart devices.

[0061] Through the 4G / 5G mobile communication protocol or Wi-Fi, the real-time status of the charging device (including charging current, voltage, temperature, charging progress, etc.) is uploaded to the cloud server or the user's mobile device to achieve remote monitoring and management. When an abnormality in the charging device or battery is detected, an emergency notification is sent to the cloud server or the user's mobile device through the 4G / 5G mobile communication protocol or Wi-Fi so that timely measures can be taken to upload the charging data, battery health status data, etc. to the cloud server to achieve data synchronization and backup, prevent data loss, and enable users to obtain real-time data of the charging device in a timely manner.

[0062] Communication protocols are divided into wireless and wired. Wired communication protocols refer to communication rules for data transmission through physical media, covering various types such as LAN protocols and serial communication protocols, and are characterized by high speed and stability; wireless communication protocols are standards that specify communication rules between wireless communication devices, defining data transmission formats, rates, frequencies, etc., to ensure effective communication between devices. Common protocols include Wi-Fi, Bluetooth, Zigbee, etc., which are widely used in the fields of Internet of Things, mobile communications, etc.

[0063] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A charging control method for a non-liquid-cooled high-current charging device, characterized in that: The method includes: Phase 1: The user sends a charging request, and the charging device receives the charging request through the control module and confirms the battery status of the device to be charged and the status of the charging device; Phase 2: Based on the battery status and the charging device status, an intelligent algorithm is used to calculate and determine the optimal charging strategy and the upper limit of the charging current, and the battery of the device to be charged is charged; Phase 3: Monitor the key parameters of the charging process through the monitoring module and adjust the charging strategy according to the real-time key parameters; Stage 4: When the battery is close to full charge or reaches the preset charging time, the charging current is gradually reduced to enter the trickle charging stage; Stage 5: Record charging data after charging is completed.

2. A charging control method for a non-liquid-cooled high-current charging device according to claim 1, characterized in that: The intelligent algorithm is a model-based estimation method and a neural network algorithm. The intelligent algorithm also includes predicting and adjusting the charging strategy in advance according to the battery temperature change trend. The key parameters include but are not limited to current, voltage, power, ground resistance and insulation resistance.

3. The charging control method of a non-liquid-cooled high-current charging device according to claim 1, characterized in that: The charging adjustment strategy includes adjusting the charging current according to the temperature threshold and adjusting the charging strategy according to the change of the battery internal resistance. The trickle charging stage includes intelligently adjusting the trickle charging current according to the remaining battery power and the charging time.

4. The charging control method of a non-liquid-cooled high-current charging device according to claim 1, characterized in that: The charging data includes but is not limited to charging time, charge increase and maximum temperature.

5. A charging control system applied to the charging control method of the non-liquid-cooled high-current charging device according to any one of claims 1 to 4, characterized in that: The system includes a control module, a monitoring module, an execution module and a communication module: Control module: used to receive charging requests and execute intelligent algorithms to output charging strategies and current control instructions; Monitoring module: used to monitor key parameters during charging in real time; Execution module: adjusts charging current and controls auxiliary equipment according to the instructions of the control module; Communication module: used to communicate with external devices.

6. A charging control system for a non-liquid-cooled high-current charging device according to claim 5, characterized in that: The control module adopts a high-performance processor based on the ARM Cortex-M series. The intelligent algorithm model is a prediction model based on deep learning, which is used to predict the optimal charging strategy and the upper limit of the charging current according to historical charging data, and supports online learning and optimization of the algorithm model.

7. A charging control method and system for a non-liquid-cooled high-current charging device according to claim 5, characterized in that: The monitoring module includes a temperature sensor, a current sensor and a voltage sensor.

8. A charging control method and system for a non-liquid-cooled high-current charging device according to claim 5, characterized in that: The execution module includes a fan control system for controlling the internal ventilation system of the charging device, and a control system for adjusting the battery cooling system, so as to intelligently adjust the ventilation intensity and cooling effect according to the temperature monitoring result.

9. A charging control method and system for a non-liquid-cooled high-current charging device according to claim 5, characterized in that: The communication module includes support for 4G / 5G mobile communication protocols and wireless communication protocols such as Wi-Fi and Bluetooth to achieve remote real-time monitoring of charging status and rapid response in emergency situations, while supporting interconnection and collaborative work with other smart devices.

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