A dynamic management system and method for onboard backup power supply based on the open source Hongmeng system

Abstract

The present invention relates to the technical field of external power supply management, and specifically to a dynamic management system and method for an onboard backup power supply based on an open source Hongmeng system; the system comprises a backup power supply switching module and an open source Hongmeng CPU module; first, based on the voltage signal obtained from the external power supply, the voltage is boosted to obtain a boosted voltage signal; then, based on the boosted voltage signal, the ripple and quality of the external main power supply are analyzed, and a filter signal is generated to dynamically adjust the filtering effect of the backup power supply switching module, and the signal is uploaded to the cloud through a distributed soft bus; seamless switching without voltage drop is achieved through corresponding boosting, voltage stabilization and switching, and the power supply strategy is dynamically adjusted according to system requirements and the remaining power of the supercapacitor by introducing a dynamic power management module; the energy utilization efficiency is improved and the backup power supply time of the system is extended; power switching and power management are optimized through a self-learning algorithm; historical data is analyzed, system parameters are automatically adjusted, and overall performance and efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of external power supply management, and specifically to a dynamic management system and method for an onboard backup power supply based on the open source Hongmeng system. Background Art

[0002] For externally powered devices or equipment, when the external power fails, the backup power supply needs to be able to switch immediately and last for 10-20 seconds and immediately save and upload the current information.

[0003] Most existing technical solutions use lithium batteries as backup power sources and use dedicated charge and discharge management chips to perform charge and discharge management and power switching. This type of solution requires a dedicated management chip. Secondly, the operating environment of lithium batteries is not suitable for industrial equipment, because industrial equipment generally requires a wider temperature range and a more stringent external environment. Lithium batteries may lose their activity due to low temperature in extreme environments, resulting in a sudden drop in capacity, or fail and catch fire due to high temperature. Therefore, backup power sources for industrial equipment generally do not use lithium batteries but mostly use supercapacitors.

[0004] For solutions using supercapacitors as backup power sources, because the voltage of supercapacitors gradually decreases during discharge, they are generally placed at the DC / DC power input. The input voltage of the DC / DC module is generally 24V or 48V, and the voltage of a single supercapacitor is 2.7V. A 24V system generally requires 10 or more supercapacitors connected in series, while a 48V system requires 20 or more supercapacitors connected in series, which takes up a large space and is costly. In addition, much of the capacity of the low-voltage portion of the supercapacitor cannot be fully utilized. Summary of the Invention

[0005] In response to the problem that the existing switching method cannot achieve seamless switching using a backup power supply, the present invention proposes an on-board backup power supply dynamic management system and method based on the open source Hongmeng system; it is connected to the output end of the external main power supply, and includes a backup power supply switching module and an open source Hongmeng CPU module; first, according to the voltage signal obtained from the external power supply, the voltage is boosted to obtain a boosted voltage signal; then, according to the boosted voltage signal, the ripple and quality of the external main power supply are analyzed, and a filter signal is generated to dynamically adjust the filtering effect of the backup power supply switching module, and the signal is uploaded to the cloud through a distributed soft bus; seamless switching without voltage drop is achieved through corresponding boosting, voltage stabilization and switching. The Hongmeng system based on the distributed soft bus has a compact and lightweight protocol, which is very beneficial for Internet of Things scenarios.

[0006] The specific implementation contents of the present invention are as follows:

[0007] An onboard backup power dynamic management system based on the open source Hongmeng system, connected to the output end of the external main power supply, including a backup power switching module and an open source Hongmeng CPU module;

[0008] The input end of the backup power switching module is connected to the output end of the external main power supply, and the output end of the backup power switching module is connected to the input end of the open source Hongmeng CPU module;

[0009] The output end of the open source Hongmeng CPU module is connected to the backup power switching module and connected to the cloud through a distributed soft bus;

[0010] The backup power supply switching module is used to boost the voltage signal obtained from the external power supply to obtain a boosted voltage signal;

[0011] The open source Hongmeng CPU module is used to analyze the ripple and quality of the external main power supply based on the boosted voltage signal, generate a filtering signal to dynamically adjust the filtering effect of the backup power switching module, and upload it to the cloud through a distributed soft bus.

[0012] In order to better implement the present invention, further, the open source Hongmeng CPU module includes an acquisition module and a control module;

[0013] The input end of the acquisition module is connected to the output end of the backup power supply switching module, and the output end of the acquisition module is connected to the input end of the control module;

[0014] The output end of the control module is connected to the backup power supply switching module and the cloud;

[0015] The acquisition module is used to acquire the boosted voltage signal from the backup power supply switching module in real time;

[0016] The control module is used to interact with the acquisition module in real time, analyze the ripple and power quality of the power supply based on the acquired boosted voltage signal, calculate the control parameters in real time, and generate a filtering signal based on the control parameters to dynamically adjust the filtering effect of the backup power supply switching module, and upload it to the cloud through a distributed soft bus.

[0017] In order to better implement the present invention, further, the open source Hongmeng CPU module also includes a dynamic power management module;

[0018] The input end of the dynamic power management module is connected to the output end of the acquisition module, and the output end of the dynamic power management module is connected to the cloud via a distributed soft bus;

[0019] The dynamic power management module is used to dynamically adjust the power supply strategy according to the remaining power of the set supercapacitor, and intelligently control and monitor power consumption in the cloud through a distributed soft bus; when the power is sufficient, it runs in high-performance mode; when the power is low, it switches to low-power mode to extend the backup power supply time.

[0020] In order to better implement the present invention, further, the backup power supply switching module includes a supercapacitor unit, a DCDC boost unit, and a dual-path no-voltage-drop seamless switching unit;

[0021] The input end of the supercapacitor unit is connected to the output end of the external main power supply, and the output end of the supercapacitor unit is connected to the input end of the DCDC boost unit;

[0022] The input end of the dual-path no-voltage-drop seamless switching unit is connected to the output end of the DCDC boost unit, the output end of the dual-path no-voltage-drop seamless switching unit is connected to the acquisition module, and the controlled end of the dual-path no-voltage-drop seamless switching unit is connected to the output end of the control module.

[0023] In order to better implement the present invention, further, the dual-path no-voltage-drop seamless switching unit includes a MOS tube unit and a filter unit;

[0024] The input end of the MOS tube unit is connected to the output end of the DCDC boost unit, the output end of the MOS tube unit is connected to the input end of the filter unit, and the controlled end of the MOS tube unit is connected to the output end of the control module;

[0025] The output end of the filtering unit is connected to the input end of the acquisition module.

[0026] Based on the above-mentioned onboard backup power dynamic management system based on the open source Hongmeng system, in order to better implement the present invention, a method for dynamic management of onboard backup power based on the open source Hongmeng system is further proposed. The method is implemented based on the above-mentioned onboard backup power dynamic management system based on the open source Hongmeng system, specifically including:

[0027] Obtain a voltage signal from an external main power supply, and obtain a boosted voltage signal by boosting the voltage of the supercapacitor;

[0028] Analyze the ripple and quality of the external main power supply based on the boosted voltage signal and generate a filtered signal;

[0029] The filtering effect is dynamically adjusted according to the filtered signal and uploaded to the cloud via a distributed soft bus.

[0030] In order to better implement the present invention, further, the onboard backup power dynamic management method based on the open source Hongmeng system also includes:

[0031] According to the boosted voltage signal, the ripple separation algorithm is called to obtain the ripple reference signal and the main frequency of the ripple;

[0032] Construct the filter transfer function according to the set filter characteristics;

[0033] Adjust the filtering intervention degree and filtering effect according to the filtering transfer function to obtain the filtering equivalent value;

[0034] Dynamically analyze the ripple interference and calculate the control parameters based on the filter equivalent value, ripple reference signal, and the main frequency of the ripple;

[0035] The ripple size is dynamically adjusted according to the control parameters to achieve targeted filtering.

[0036] In order to better implement the present invention, further, the filter transfer function is:

[0037] H=U out / U in =K1*(1 / 1-x1 2 L1C1)+K1*(1 / 1-x2 2 L2C2)+...+ K n *(1 / 1-x n 2 L n C n );

[0038] Among them, K value is the equivalent value of MOS tube dynamic control, n=1,2,...,n, x n is the set filtering characteristics.

[0039] In order to better implement the present invention, further, the onboard backup power dynamic management method based on the open source Hongmeng system also includes:

[0040] The power supply strategy is dynamically adjusted based on the remaining power of the supercapacitor. When the remaining power is greater than Q1, the high power strategy is executed and the program runs according to normal rules. When the remaining power is greater than Q2 but less than Q1, the display and some low-priority programs are stopped to reduce system power consumption. When the remaining power is less than Q3, all non-essential programs are stopped and only the minimum system programs are run to further reduce power consumption, improve energy utilization efficiency, and extend the system's backup power supply time.

[0041] In order to better implement the present invention, further, the onboard backup power dynamic management method based on the open source Hongmeng system also includes:

[0042] The self-learning algorithm is used to analyze historical data, summarize operating rules based on changes in the quality of the external power supply, and establish an operating model to automatically adjust system parameters. By keeping the power quality of different filter unit boards at a high level, the overall operating stability of the system is improved.

[0043] The present invention has the following beneficial effects:

[0044] (1) The present invention incorporates a collection module based on the open-source Hongmeng system to monitor input voltage, supercapacitor voltage, output voltage, and other information in real time. This information is then uploaded to the cloud in real time using the distributed soft bus of the open-source Hongmeng system. The Hongmeng system, which is based on the distributed soft bus, has a compact and lightweight protocol and is highly beneficial for this type of IoT scenario.

[0045] (2) The present invention introduces a dynamic power management module to dynamically adjust the power supply strategy according to system requirements and the remaining power of the supercapacitor, thereby improving the efficiency of power utilization and extending the backup power supply time of the system.

[0046] (3) The present invention optimizes power switching and power management by incorporating a self-learning algorithm based on machine learning; and automatically adjusts system parameters by analyzing historical data to improve overall performance and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a schematic block diagram of the overall structure of the onboard backup power dynamic management system based on the open source Hongmeng system provided by the present invention.

[0048] Figure 2 This is a schematic diagram of the circuit structure of the supercapacitor unit provided by the present invention.

[0049] Figure 3 This is a schematic diagram of the DCDC boost circuit structure provided by the present invention.

[0050] Figure 4 This is a schematic diagram of the dual-path, voltage-drop-free, seamless switching circuit structure provided by the present invention. DETAILED DESCRIPTION

[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. It should be understood that the described embodiments are only part of the embodiments of the present invention, not all of the embodiments, and therefore should not be regarded as limiting the scope of protection. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technical personnel in this field without making creative work are within the scope of protection of the present invention.

[0052] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "disposed," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections, electrical connections; direct connections, indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0053] Example 1:

[0054] This embodiment proposes an onboard backup power dynamic management system based on the open source Hongmeng system, such as Figure 1 As shown, it is connected to the output end of the external main power supply, including a backup power switching module and an open source Hongmeng CPU module;

[0055] The input end of the backup power switching module is connected to the output end of the external main power supply, and the output end of the backup power switching module is connected to the input end of the open source Hongmeng CPU module;

[0056] The output end of the open source Hongmeng CPU module is connected to the backup power switching module and connected to the cloud through a distributed soft bus;

[0057] The backup power supply switching module is used to boost the voltage signal obtained from the external power supply to obtain a boosted voltage signal;

[0058] The open source Hongmeng CPU module is used to analyze the ripple and quality of the external main power supply based on the boosted voltage signal, generate a filtering signal to dynamically adjust the filtering effect of the backup power switching module, and upload it to the cloud through a distributed soft bus.

[0059] Furthermore, the open source Hongmeng CPU module includes an acquisition module and a control module;

[0060] The input end of the acquisition module is connected to the output end of the backup power supply switching module, and the output end of the acquisition module is connected to the input end of the control module;

[0061] The output end of the control module is connected to the backup power supply switching module and the cloud;

[0062] The acquisition module is used to acquire the boosted voltage signal from the backup power supply switching module in real time;

[0063] The control module is used to interact with the acquisition module in real time, analyze the ripple and power quality of the power supply based on the acquired boosted voltage signal, calculate the control parameters in real time, and generate a filtering signal based on the control parameters to dynamically adjust the filtering effect of the backup power supply switching module, and upload it to the cloud through a distributed soft bus.

[0064] Furthermore, the open source Hongmeng CPU module also includes a dynamic power management module;

[0065] The input end of the dynamic power management module is connected to the output end of the acquisition module, and the output end of the dynamic power management module is connected to the cloud via a distributed soft bus;

[0066] The dynamic power management module is used to dynamically adjust the power supply strategy according to the remaining power of the set supercapacitor, and intelligently control and monitor power consumption in the cloud through a distributed soft bus; when the power is sufficient, it runs in high-performance mode; when the power is low, it switches to low-power mode to extend the backup power supply time.

[0067] Furthermore, the backup power supply switching module includes a supercapacitor unit, a DCDC boost unit, and a dual-path no-voltage-drop seamless switching unit;

[0068] The input end of the supercapacitor unit is connected to the output end of the external main power supply, and the output end of the supercapacitor unit is connected to the input end of the DCDC boost unit;

[0069] The input end of the dual-path no-voltage-drop seamless switching unit is connected to the output end of the DCDC boost unit, the output end of the dual-path no-voltage-drop seamless switching unit is connected to the acquisition module, and the controlled end of the dual-path no-voltage-drop seamless switching unit is connected to the output end of the control module.

[0070] Furthermore, the dual-path no-voltage-drop seamless switching unit includes a MOS tube unit and a filter unit;

[0071] The input end of the MOS tube unit is connected to the output end of the DCDC boost unit, the output end of the MOS tube unit is connected to the input end of the filter unit, and the controlled end of the MOS tube unit is connected to the output end of the control module;

[0072] The output end of the filtering unit is connected to the input end of the acquisition module.

[0073] Working Principle: When the external power supply fails, this embodiment uses the built-in supercapacitor module and realizes seamless switching without voltage drop through the corresponding boost, voltage regulation and switching circuits. At the same time, the acquisition module based on the open source Hongmeng system constantly monitors the input voltage, supercapacitor voltage, output voltage and other information, and uses the distributed soft bus of the open source Hongmeng system to send the monitoring information to the cloud in real time; through these real-time collected voltages, the ripple and power quality of the power supply are analyzed, and the corresponding filter units are switched on and off to improve the power supply; the switching circuit of this embodiment uses a MOSFET circuit combination with a voltage drop close to 0V, which is better adaptable and has higher energy utilization than the existing circuit switching through diodes or single MOSFETs; the information is sent to the Hongmeng system based on the distributed soft bus, and the protocol is compact and lightweight, which is very beneficial for this type of IoT scenario.

[0074] This embodiment incorporates a collection module based on the open-source Hongmeng system to monitor input voltage, supercapacitor voltage, output voltage, and other information in real time. This information is then uploaded to the cloud using the distributed soft bus of the open-source Hongmeng system. The Hongmeng system, which uses a distributed soft bus, boasts a compact and lightweight protocol, making it highly suitable for this IoT scenario.

[0075] This embodiment also introduces a dynamic power management module to dynamically adjust the power supply strategy according to system requirements and the remaining power of the supercapacitor; this can improve power utilization efficiency and extend the backup power supply time of the system.

[0076] This embodiment also incorporates a self-learning algorithm based on machine learning to optimize power switching and power management; by analyzing historical data, it automatically adjusts system parameters to improve overall performance and efficiency.

[0077] Example 2:

[0078] This embodiment is based on the above embodiment 1. Figure 2 As shown, the specific structure of the supercapacitor is described with a specific embodiment.

[0079] The backup power supply switching module includes

[0080] A real-time monitoring and high-quality switching method for backup power supply based on the open source Hongmeng system includes a supercapacitor module, a supercapacitor charging and discharging circuit, a supercapacitor protection circuit, a DCDC boost circuit, and a dual-path voltage-drop-free seamless switching circuit.

[0081] The supercapacitor module uses two 50F / 2.7V supercapacitor monomers connected in series.

[0082] The supercapacitor charging circuit uses a Schottky diode and a 5 ohm high-power resistor.

[0083] The supercapacitor protection circuit uses one XC61CC2702MR protection chip, one N-MOS tube, and one discharge resistor.

[0084] The DCDC boost circuit includes an MT3608 control chip, an input filter capacitor, a Schottky diode, two voltage divider control resistors, and an output filter capacitor.

[0085] The dual-path no-voltage-drop seamless switching circuit includes two P-MOS tubes, one N-MOS tube, and two pull-up / pull-down resistors.

[0086] The filter units 1, 2 and 3 include filters for different frequencies composed of capacitors, inductors, resistors and operational amplifiers.

[0087] This embodiment is equipped with a module consisting of two supercapacitors connected in series as a backup power supply. When the input power supply 5V_DC is charged, the supercapacitor is charged through the charge-discharge circuit and the protection circuit, and the 5V_DC is used to power the system through the seamless switching circuit. When the input power is lost, the 5V_DC becomes 0, and the 5V_SC boosted by the supercapacitor is automatically switched to output to power the system through the automatic control of the seamless switching circuit.

[0088] The supercapacitor module contains two supercapacitors, a supercapacitor charging and discharging circuit, and a supercapacitor protection circuit. The supercapacitor module is followed by a DCDC boost circuit to ensure that the output voltage of the supercapacitor is stable near the voltage required by the system. The boost output of the main power supply and the supercapacitor enters a dual-path no-voltage-drop seamless switching circuit, and finally outputs 5V_OUT to power the system. In this embodiment, the supercapacitor and related circuits can be found in the attached Figure 2 .

[0089] The D1 Schottky diode and R1 current-limiting resistor serve as a charging circuit to limit the current direction and charging current size, ensuring that the power of the supercapacitor does not flow back into the main power supply. This is very important after the main current is lost.

[0090] C1 and C2 are supercapacitor cells with a specific capacity of 50F / 2.7V. When the two are connected in series, the capacity is 50V / 5.4V.

[0091] U1 and U2 are supercapacitor charging protection circuits. When the charging voltage exceeds 2.7V, OUT outputs a high level, and the N-MOS tubes Q1 and Q2 connected thereto will be turned on, discharging excess electricity through discharge resistors R2 and R3, thereby protecting the supercapacitor monomer and ensuring that its voltage does not exceed 2.7V.

[0092] This embodiment's supercapacitor module uses two 50F / 2.7V supercapacitors connected in series, reducing costs and lowering the failure rate. The supercapacitor charging circuit employs a Schottky diode and a 5-ohm high-power resistor to prevent reverse current flow from the supercapacitor and protect it. The supercapacitor protection circuit utilizes an XC61CC2702MR protection chip, an N-MOS transistor, and a discharge resistor to prevent overvoltage charging of the supercapacitor.

[0093] The rest of this embodiment is the same as that of the above-mentioned embodiment 1, and therefore will not be described in detail.

[0094] Example 3:

[0095] This embodiment is based on any one of the above embodiments 1 to 2. Figure 3 As shown, the structure of the DCDC boost circuit is described with a specific embodiment.

[0096] The main part of the boost circuit is the MT3608 switching power supply control chip. The boost principle of MT3608 is mainly based on the working mode of the switching power supply chip. Through the combination of components such as inductor L1, capacitor C4, Schottky diode D2, etc., the input voltage is lower than the output voltage.

[0097] When the input voltage is lower than the desired output voltage, the MT3608 chip switches at a constant frequency, intermittently transmitting the input voltage to inductor L1. This voltage is then rectified by Schottky diode D2. R4 and R5 divide the output voltage and feed it back to the MT3608 via pin 3 (FB). The MT3608 then adjusts the switching frequency in real time to stabilize the output near the target voltage. In this embodiment, the boost circuit output voltage is set to 5V.

[0098] The DCDC boost circuit can make better use of the power of the supercapacitor, and the supercapacitor utilization rate is higher.

[0099] The rest of this embodiment is the same as any one of the above-mentioned embodiments 1 and 2, and thus will not be described in detail.

[0100] Example 4:

[0101] This embodiment is based on any one of the above embodiments 1 to 3. Figure 4 As shown, the specific structure of the dual-path no-voltage-drop seamless switching circuit is described with a specific embodiment.

[0102] 5V_DC is the main power supply, 5V_SC is the power supply after supercapacitor boost, and 5V_OUT is the output power supply;

[0103] When the main power supply (5V_DC) is applied, Q4's N-MOS gate is high, turning on Q4. This in turn pulls down Q5's P-MOS gate, turning Q5 on. 5V_DC then flows through Q5 to 5V_OUT, providing power. At this point, the voltage between Q3's P-MOS gate (G) and source (S) equals the Q5 P-MOS's conduction voltage drop, which is approximately tens of millivolts. Consequently, Q3's P-MOS turns off, disconnecting the supercapacitor-boosted 5V_SC, and the system is powered by 5V_DC.

[0104] When the 5V_DC main power supply is disconnected, the Q4 N-MOS transistor is turned off, the Q3 P-MOS transistor's gate is pulled down by R6, and Q3 is turned on. The Q5 P-MOS transistor's gate is pulled up by R7, and Q5 is turned off. At this point, Q4 and Q5 are turned off, Q3 is turned on, and the system is powered by 5V_SC.

[0105] The dual-channel voltage-drop-free seamless switching circuit includes two P-MOS tubes, one N-MOS tube, and two pull-up / down resistors. The combination of the above components achieves almost no voltage drop and seamless automatic switching of two input power supplies at low cost.

[0106] The rest of this embodiment is the same as any one of the above-mentioned embodiments 1 to 3, and thus will not be described in detail.

[0107] Example 5:

[0108] This embodiment is based on any one of the above embodiments 1 to 4. Figure 1 As shown, the structure of the open source Hongmeng CPU module is described in detail with a specific embodiment.

[0109] In this embodiment, the real-time monitoring and acquisition module based on the open source Hongmeng system includes a multi-channel ADC sampling chip and a lightweight CPU that supports the open source Hongmeng system.

[0110] The acquisition module based on the open source Hongmeng system includes a multi-channel ADC sampling chip, which is connected to at least 4 voltage sampling channels, respectively sampling the input voltage 5V_DC, the supercapacitor voltage 5V_SC, the boosted 5V voltage, and the switched voltage output 5V_OUT. The sampling frequency of the acquisition module is set to be greater than or equal to 1KHz, and the 4 voltages are sampled and monitored in real time. When the external input voltage 5V_DC is lost, it can be monitored at the millisecond level and sent to the cloud through the distributed soft bus.

[0111] The acquisition module includes a multi-channel ADC sampling chip, which is connected to at least four voltage sampling channels. The acquisition module is based on the open source Hongmeng system CPU. This acquisition module is connected to the cloud using a distributed soft bus and the CoAP protocol.

[0112] The control module analyzes the power ripple and power quality according to the voltage collected in real time by the acquisition module, and switches the corresponding filter unit to improve the power quality.

[0113] At the same time, a dynamic power management module is introduced to dynamically adjust the power supply strategy according to system requirements and the remaining power of the supercapacitor. When the remaining power is relatively large, a medium power strategy is implemented and more programs can be run. When the remaining power is too low, all non-essential programs are stopped and only the minimum system programs are run. This can improve energy utilization efficiency and extend the system's backup power supply time.

[0114] At the same time, a self-learning algorithm based on machine learning is added to optimize power switching and power quality management. By analyzing historical data, a set of operating rules can be summarized according to changes in the quality of the external power supply, and system parameters can be automatically adjusted to improve the overall operational stability of the system.

[0115] The control module based on the open source Hongmeng system interacts with the acquisition module in real time. The power ripple and power quality are analyzed through the real-time collected voltage. After the acquisition module, the obtained voltage signal is processed by the ripple separation algorithm to obtain the ripple reference signal and the main frequency of the ripple. According to the filtering characteristics of the filter unit, its transfer function is:

[0116] H(jw)=Uout / Uin=1 / (1-x 2 LC);

[0117] For filter units 1, 2, and 3, where x is x1, x2, and x3 respectively based on different parameters, the MOS transistor at the front end of the filter unit is controlled by the output voltage of the control module, making it operate in an unsaturated state to control the current flowing through the MOS transistor, thereby controlling the degree of intervention of the filter unit and the filtering effect. In this way, the total filter unit transfer function becomes:

[0118] H=Uout / Uin=K1*(1 / 1-x1 2 L1C1)+K1*(1 / 1-x2 2 L2C2)+K3*(1 / 1-x3 2 L3C3);

[0119] The K value (n=1, 2, 3) is equivalent to the dynamic control value of the MOS tube. In this way, the entire filtering system will dynamically analyze the ripple interference and calculate the control parameters in real time. The control parameters are immediately applied to the circuit to dynamically adjust the ripple size and achieve efficient and targeted filtering effects.

[0120] The control module interacts with the acquisition module in real time. Through the real-time collected voltage, it analyzes the power ripple and power quality, calculates the control parameters in real time, and immediately applies the control parameters to the circuit, dynamically adjusting the ripple size to achieve efficient and targeted filtering effects; the dynamic power management module dynamically adjusts the power supply strategy according to system requirements and the remaining power of the supercapacitor, which can improve the efficiency of power utilization and extend the backup power supply time of the system.

[0121] The dynamic power management module based on the open source Hongmeng system dynamically adjusts the power supply strategy according to system requirements and the remaining power of the supercapacitor; when the remaining power is greater than Q1, the high power strategy is executed and the program runs according to normal rules; when the remaining power is greater than Q2 and less than Q1, the display and some low-priority programs are stopped to reduce system power consumption; when the remaining power is less than Q3, all non-essential programs are stopped and only the minimum system programs are run to further reduce power consumption, which can improve energy utilization efficiency and extend the system's backup power supply time.

[0122] The self-learning algorithm based on the open source Hongmeng system can optimize power switching and power quality management. By analyzing historical data, it summarizes a set of operating rules based on the changes in the quality of the external power supply, establishes an operating model, and automatically adjusts system parameters. By investing in different filtering units, the power quality of the board is kept at a high level, thereby improving the overall operational stability of the system. The self-learning algorithm, by analyzing historical data, summarizes a set of operating rules based on the changes in the quality of the external power supply, establishes an operating model, and automatically adjusts system parameters. By investing in different filtering units, the power quality of the board is kept at a high level, thereby improving the overall operational stability of the system.

[0123] The rest of this embodiment is the same as any one of the above-mentioned embodiments 1 to 4, and thus will not be described in detail.

[0124] Example 6:

[0125] This embodiment, based on any one of the above embodiments 1 to 5, proposes a method for dynamically managing an onboard backup power supply based on the open source Hongmeng system. The method is implemented based on the above-mentioned dynamic management system for onboard backup power supply based on the open source Hongmeng system, and specifically includes:

[0126] Obtain a voltage signal from an external main power supply, and obtain a boosted voltage signal by boosting the voltage of the supercapacitor;

[0127] Analyze the ripple and quality of the external main power supply based on the boosted voltage signal and generate a filtered signal;

[0128] The filtering effect is dynamically adjusted according to the filtered signal and uploaded to the cloud via a distributed soft bus.

[0129] According to the boosted voltage signal, the ripple separation algorithm is called to obtain the ripple reference signal and the main frequency of the ripple;

[0130] Construct the filter transfer function according to the set filter characteristics;

[0131] Adjust the filtering intervention degree and filtering effect according to the filtering transfer function to obtain the filtering equivalent value;

[0132] Dynamically analyze the ripple interference and calculate the control parameters based on the filter equivalent value, ripple reference signal, and the main frequency of the ripple;

[0133] The ripple size is dynamically adjusted according to the control parameters to achieve targeted filtering.

[0134] Furthermore, the filter transfer function is:

[0135] H=U out / U in =K1*(1 / 1-x1 2L1C1)+K1*(1 / 1-x2 2 L2C2)+...+K n *(1 / 1-x n 2 L n C n );

[0136] Among them, K value is the equivalent value of MOS tube dynamic control, n=1,2,...,n, x n is the set filtering characteristics.

[0137] This embodiment dynamically adjusts the power supply strategy based on the remaining power of the supercapacitor. When the remaining power is greater than Q1, the high power strategy is executed and the program runs according to normal rules. When the remaining power is greater than Q2 but less than Q1, the display and some low-priority programs are stopped to reduce system power consumption. When the remaining power is less than Q3, all non-essential programs are stopped and only the minimum system programs are run, further reducing power consumption, improving energy utilization efficiency, and extending the system's backup power supply time.

[0138] This embodiment analyzes historical data by calling a self-learning algorithm, summarizes operating rules according to changes in the quality of the external power supply, establishes an operating model, and automatically adjusts system parameters. By keeping the power quality of different filter unit boards at a high level, the overall operating stability of the system is improved.

[0139] The rest of this embodiment is the same as any one of the above-mentioned embodiments 1 to 5, and thus will not be described in detail.

[0140] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any simple modification or equivalent change made to the above embodiment based on the technical essence of the present invention shall fall within the scope of protection of the present invention.

Claims

1. A dynamic management system for onboard backup power supply based on the open source Hongmeng system, characterized in that: Connected to the output of the external main power supply and the cloud, including a backup power switching module and an open source Hongmeng CPU module; The input end of the backup power switching module is connected to the output end of the external main power supply, and the output end of the backup power switching module is connected to the input end of the open source Hongmeng CPU module; The output end of the open source Hongmeng CPU module is connected to the backup power switching module and connected to the cloud through a distributed soft bus; The backup power supply switching module is used to boost the voltage signal obtained from the external power supply to obtain a boosted voltage signal; The open source Hongmeng CPU module is used to analyze the ripple and quality of the external main power supply based on the boosted voltage signal, generate a filter signal to dynamically adjust the filtering effect of the backup power switching module, and upload it to the cloud through a distributed soft bus; The open source Hongmeng CPU module includes an acquisition module and a control module; The input end of the acquisition module is connected to the output end of the backup power supply switching module, and the output end of the acquisition module is connected to the input end of the control module; The output end of the control module is connected to the backup power supply switching module and the cloud; The acquisition module is used to acquire the boosted voltage signal from the backup power supply switching module in real time; The control module is used to interact with the acquisition module in real time, analyze the power ripple and power quality based on the acquired boosted voltage signal, calculate the control parameters in real time, and generate a filtering signal based on the control parameters to dynamically adjust the filtering effect of the backup power switching module, and upload the signal to the cloud via a distributed soft bus; The backup power supply switching module includes a supercapacitor unit, a DCDC boost unit, and a dual-path no-voltage-drop seamless switching unit; The input end of the supercapacitor unit is connected to the output end of the external main power supply, and the output end of the supercapacitor unit is connected to the input end of the DCDC boost unit; The input end of the dual-channel no-voltage-drop seamless switching unit is connected to the output end of the DCDC boost unit, the output end of the dual-channel no-voltage-drop seamless switching unit is connected to the acquisition module, and the controlled end of the dual-channel no-voltage-drop seamless switching unit is connected to the output end of the control module; The dual-path no-voltage-drop seamless switching unit includes a MOS tube unit and a filter unit; The input end of the MOS tube unit is connected to the output end of the DCDC boost unit, the output end of the MOS tube unit is connected to the input end of the filter unit, and the controlled end of the MOS tube unit is connected to the output end of the control module; The output end of the filtering unit is connected to the input end of the acquisition module.

2. According to the open source Hongmeng system-based onboard backup power dynamic management system of claim 1, it is characterized in that: The open source Hongmeng CPU module also includes a dynamic power management module; The input end of the dynamic power management module is connected to the output end of the acquisition module, and the output end of the dynamic power management module is connected to the cloud via a distributed soft bus; The dynamic power management module is used to dynamically adjust the power supply strategy according to the remaining power of the set supercapacitor, and intelligently control and monitor power consumption in the cloud through a distributed soft bus; when the power is sufficient, it runs in high-performance mode; when the power is low, it switches to low-power mode to extend the backup power supply time.

3. A method for dynamic management of onboard backup power supply based on the open source Hongmeng system, implemented based on the onboard backup power supply dynamic management system based on the open source Hongmeng system as claimed in claim 1, characterized in that: Specifically include: Obtain a voltage signal from an external main power supply, and obtain a boosted voltage signal by boosting the voltage of the supercapacitor; Analyze the ripple and quality of the external main power supply based on the boosted voltage signal and generate a filtered signal; The filtering effect is dynamically adjusted according to the filtered signal and uploaded to the cloud via a distributed soft bus.

4. The method for dynamic management of onboard backup power supply based on the open source Hongmeng system according to claim 3 is characterized in that: The onboard backup power dynamic management method based on the open source Hongmeng system also includes: According to the boosted voltage signal, the ripple separation algorithm is called to obtain the ripple reference signal and the main frequency of the ripple; Construct the filter transfer function according to the set filter characteristics; Adjust the filtering intervention degree and filtering effect according to the filtering transfer function to obtain the filtering equivalent value; Dynamically analyze the ripple interference and calculate the control parameters based on the filter equivalent value, ripple reference signal, and the main frequency of the ripple; The ripple size is dynamically adjusted according to the control parameters to achieve targeted filtering.

5. The method for dynamic management of onboard backup power supply based on the open source Hongmeng system according to claim 4 is characterized in that: The filter transfer function is: H=U out / U in =K1*(1 / 1-x1 2 L1C1)+K1*(1 / 1-x2 2 L2C2)+...+ K n *(1 / 1-x n 2 L n C n ); Among them, K value is the equivalent value of MOS tube dynamic control, n=1,2,...,n, x n is the set filtering characteristics.

6. The method for dynamic management of onboard backup power supply based on the open source Hongmeng system according to claim 3 is characterized in that: The onboard backup power dynamic management method based on the open source Hongmeng system also includes: The power supply strategy is dynamically adjusted based on the remaining power of the supercapacitor. When the remaining power is greater than Q1, the high power strategy is executed and the program runs according to normal rules. When the remaining power is greater than Q2 but less than Q1, the display and some low-priority programs are stopped to reduce system power consumption. When the remaining power is less than Q3, all non-essential programs are stopped and only the minimum system programs are run to further reduce power consumption, improve energy utilization efficiency, and extend the system's backup power supply time.

7. The method for dynamic management of onboard backup power supply based on the open source Hongmeng system according to claim 3 is characterized in that: The onboard backup power dynamic management method based on the open source Hongmeng system also includes: The self-learning algorithm is used to analyze historical data, summarize operating rules based on changes in the quality of the external power supply, and establish an operating model to automatically adjust system parameters. By keeping the power quality of different filter unit boards at a high level, the overall operating stability of the system is improved.

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