On-board backup power supply dynamic management system and method based on open source gap system

Abstract

The invention relates to the technical field of external power supply management, in particular to an onboard backup power supply dynamic management system and method based on an open source gap system. Comprising a back-up power supply switching module and an open source gap CPU module. Firstly, according to a voltage signal obtained from an external power supply, boosting is performed to obtain a boosted voltage signal; then, according to the boosted voltage signal, ripple and quality of an external main power supply are analyzed, a filtering signal is generated to dynamically adjust the filtering effect of the backup power supply switching module, and the filtering signal is uploaded to a cloud through a distributed soft bus; seamless switching without voltage drop is realized through corresponding voltage boosting, voltage stabilization and switching, and a dynamic power management module is introduced to dynamically adjust a power supply strategy according to system requirements and residual electric quantity of a super capacitor; the electric energy utilization efficiency is improved; the backup power supply time of the system is prolonged; power supply switching and power management are optimized through a self-learning algorithm; historical data are analyzed, system parameters are automatically adjusted, and the overall performance and efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the field of external power supply management technology, and specifically, to an onboard backup power supply dynamic management system and method 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 of the 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, and secondly, the use 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 the solution of using supercapacitors as backup power supply, because the voltage of supercapacitors will gradually decrease during discharge, supercapacitors are usually placed at the DCDC power input end. The input voltage of the DCDC module is generally 24V or 48V, and the voltage of supercapacitor cells is 2.7V. A 24V system generally requires 10 or more supercapacitors in series, while a 48V system requires 20 or more supercapacitors in series, which takes up a large volume and is costly. In addition, much of the capacity of the low-voltage part 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 onboard backup power supply dynamic management system and method based on the open source Hongmeng system; connected to the output end of the external main power supply, including 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 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 to the Internet of Things scenario.

[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 supply switching module is connected to the output end of the external main power supply, and the output end of the backup power supply 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 supply 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 according to the boosted voltage signal, generate a filtering signal to dynamically adjust the filtering effect of the backup power supply 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 sampling 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 according to the acquired boosted voltage signal, calculate the control parameters in real time, and generate a filtering signal according to 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 sampling module, and the output end of the dynamic power adjustment module is connected to the cloud through a distributed soft bus;

[0019] The dynamic power management module is used to dynamically adjust the power supply strategy according to the set remaining power of the supercapacitor, and monitor the power consumption through intelligent control 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 super capacitor unit is connected to the output end of the external main power supply, and the output end of the super capacitor 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 sampling 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 module, 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 module is connected to the input end of the sampling module.

[0026] Based on the above-mentioned onboard backup power dynamic management system based on the open source Hongmeng system, in order to better realize the present invention, further, a method for dynamic management of onboard backup power based on the open source Hongmeng system is proposed, which is based on the above-mentioned onboard backup power dynamic management system based on the open source Hongmeng system, and specifically includes:

[0027] Acquire a voltage signal from an external main power supply, and obtain a boosted voltage signal according to the voltage boost of the supercapacitor;

[0028] According to the boosted voltage signal, the ripple and quality of the external main power supply are analyzed to generate a filtering signal;

[0029] The filtering effect is dynamically adjusted according to the filtering 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] According to the set filtering characteristics, a filter transfer function is constructed;

[0033] According to the filter transfer function, the filter intervention degree and the filter effect are adjusted to obtain the filter equivalent value;

[0034] Dynamically analyze the ripple interference and calculate the control parameters based on the filter equivalent value, ripple reference signal and 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 characteristic.

[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 is run 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 called to analyze historical data, summarize the operating rules according to the changes in the quality of the external power supply, and establish an operating model to automatically adjust the system parameters. By keeping the power quality of different filter module 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 adds a sampling module based on the open source Hongmeng system to monitor the input voltage, supercapacitor voltage, output voltage and other information in real time, and uses the distributed soft bus of the open source Hongmeng system to send the monitoring information to the cloud in real time. 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 to this 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 adding a self-learning algorithm based on machine learning; by analyzing historical data, the system parameters are automatically adjusted to improve overall performance and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 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 structure of the DCDC boost circuit 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 clearly specified and limited, the terms "disposed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0053] Embodiment 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 supply switching module and an open source Hongmeng CPU module;

[0055] The input end of the backup power supply switching module is connected to the output end of the external main power supply, and the output end of the backup power supply 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 supply 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 according to the boosted voltage signal, generate a filtering signal to dynamically adjust the filtering effect of the backup power supply 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 sampling 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 according to the acquired boosted voltage signal, calculate the control parameters in real time, and generate a filtering signal according to 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 sampling module, and the output end of the dynamic power adjustment module is connected to the cloud through a distributed soft bus;

[0066] The dynamic power management module is used to dynamically adjust the power supply strategy according to the set remaining power of the supercapacitor, and monitor the power consumption through intelligent control 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 super capacitor unit is connected to the output end of the external main power supply, and the output end of the super capacitor 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 sampling 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 module, 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 module is connected to the input end of the sampling 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 stabilization and switching circuits. At the same time, the sampling module based on the open source Hongmeng system 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 the voltages collected in real time at these places, the ripple and power quality of the power supply are analyzed, and the corresponding filter modules are switched to improve the power supply; the switching circuit of this embodiment uses a MOSFET circuit combination, and the voltage drop is close to 0V. Compared with the existing circuits switched by diodes or single MOSFETs, it has better adaptability and higher energy utilization; 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 to this kind of Internet of Things scenario.

[0074] This embodiment adds a sampling module based on the open source Hongmeng system to monitor the input voltage, supercapacitor voltage, output voltage and other information in real time, and uses the distributed soft bus of the open source Hongmeng system to send the monitoring information to the cloud in real time. The Hongmeng system based on the distributed soft bus has a compact and lightweight protocol, which is very beneficial to 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 the efficiency of power utilization 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, system parameters are automatically adjusted to improve overall performance and efficiency.

[0077] Embodiment 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, including 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 1 XC61CC2702MR protection chip, 1 N-MOS tube, and 1 discharge resistor.

[0084] The DCDC boost circuit includes 1 MT3608 control chip, 1 input filter capacitor, 1 Schottky diode, 2 voltage divider control resistors, and 1 output filter capacitor.

[0085] The dual-path no-voltage-drop seamless switching circuit includes 2 P-MOS tubes, 1 N-MOS tube, and 2 pull-up / pull-down resistors.

[0086] The filter modules 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 and discharge circuit and the protection circuit, and at the same time, 5V_DC powers the system through the seamless switching circuit; when the input power is lost, 5V_DC becomes 0, and through the automatic control of the seamless switching circuit, the 5V_SC after the supercapacitor boost is automatically switched to output to power the system.

[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 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, and the excess electricity will be discharged through the discharge resistors R2 and R3, which can protect the supercapacitor monomer and ensure that its voltage does not exceed 2.7V.

[0092] The supercapacitor module of this embodiment uses two 50F / 2.7V supercapacitor monomers connected in series, which can reduce costs and reduce failure rates. The supercapacitor charging circuit uses a Schottky diode and a 5-ohm high-power resistor to prevent the current from flowing out of the supercapacitor in reverse and protect the supercapacitor. The supercapacitor protection circuit uses an XC61CC2702MR protection chip, an N-MOS tube, and a discharge resistor to prevent the supercapacitor from over-voltage charging.

[0093] The other parts of this embodiment are the same as those of the above-mentioned embodiment 1, and thus will not be described in detail.

[0094] Embodiment 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 conversion of input voltage lower than output voltage is achieved.

[0097] When the input voltage is lower than the required output voltage, the MT3608 chip switches at a certain frequency, intermittently transmits the input voltage to the inductor L1, and then rectifies it through the Schottky diode D2. R4 and R5 divide the output voltage and feed it back to the MT3608 through the 3-pin FB. The MT3608 will adjust the switching frequency in real time to stabilize the final output near the target voltage. In this embodiment, the output voltage of the boost circuit is set to 5V.

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

[0099] The other parts of this embodiment are the same as any one of the above-mentioned embodiments 1-2, so they will not be repeated here.

[0100] Embodiment 4:

[0101] This embodiment is based on any one of the above embodiments 1 to 3. Figure 4 As shown, a specific embodiment is used to illustrate the specific structure of the dual-path voltage drop-free seamless switching circuit.

[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 used for power supply, the gate of Q4's N-MOS is at a high level, Q4 is turned on, and then the gate of Q5's P-MOS is pulled down, Q5 starts to turn on, and 5V_DC flows through Q5 to 5V_OUT, and is powered by 5V_DC; at this time, the voltage between the gate G and source S of Q3 P-MOS is equal to the conduction voltage drop of Q5 P-MOS, which is about tens of mV. Therefore, Q3 P-MOS is turned off, 5V_SC after supercapacitor boost is disconnected, and the system is powered by 5V_DC.

[0104] When the 5V_DC main power supply is disconnected, Q4 N-MOS is turned off, the gate of Q3 P-MOS is pulled down through R6, Q3 is turned on; the gate of Q5 P-MOS is pulled up through R7, Q5 is turned off. At this time, 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 2 P-MOS tubes, 1 N-MOS tube, and 2 pull-up / pull-down resistors. The combination of the above components is used to achieve almost no voltage drop and seamless automatic switching of two input power supplies at low cost.

[0106] The other parts of this embodiment are the same as any one of the above-mentioned embodiments 1 to 3, so they will not be repeated here.

[0107] Embodiment 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 using a specific embodiment.

[0109] In this embodiment, the real-time monitoring and sampling module based on the open source Hongmeng system includes 1 multi-channel ADC sampling chip and 1 lightweight CPU that supports the open source Hongmeng system.

[0110] The sampling 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 sampling 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 sampling module includes a multi-channel ADC sampling chip, which is connected to at least 4 voltage sampling channels. The sampling module is based on the open source Hongmeng system CPU. This sampling module is connected to the cloud using a distributed soft bus, and the connection protocol uses the coap protocol.

[0112] The control module analyzes the power ripple and power quality according to the voltage collected by the sampling module in real time, and switches on the corresponding filter module 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, the medium power strategy is executed 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 the energy utilization efficiency and extend the backup power supply time of the system.

[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 the system parameters can be automatically adjusted to improve the overall operating stability of the system.

[0115] The control module based on the open source Hongmeng system interacts with the sampling module in real time. The ripple and power quality of the power supply are analyzed through the real-time collected voltage. After passing through the sampling 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 filtering module, its transfer function is:

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

[0117] For filter modules 1, 2, and 3, x is x1, x2, and x3 respectively according to different parameters; the MOS tube at the front end of the filter module is controlled by the output voltage of the control module, so that it works in an unsaturated state to control the current flowing through the MOS tube, thereby controlling the degree of intervention and filtering effect of the filter module. In this way, the total filter module 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 the equivalent value of the dynamic control of the MOS tube. In this way, the entire filtering system will dynamically analyze the ripple interference, calculate the control parameters in real time, apply the control parameters to the circuit immediately, dynamically adjust the ripple size, and achieve efficient and targeted filtering effects.

[0120] The control module interacts with the sampling module in real time, analyzes the power ripple and power quality through the real-time collected voltage, calculates the control parameters in real time, applies the control parameters to the circuit immediately, dynamically adjusts the ripple size, and achieves 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 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, 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, a set of operating rules are summarized according to the changes in the quality of the external power supply, an operating model is established, and the system parameters are automatically adjusted. By investing in different filtering modules, the power quality of the board is always kept at a high state, thereby improving the overall operating stability of the system. The self-learning algorithm, by analyzing historical data, a set of operating rules are summarized according to the changes in the quality of the external power supply, an operating model is established, and the system parameters are automatically adjusted. By investing in different filtering modules, the power quality of the board is always kept at a high state, thereby improving the overall operating stability of the system.

[0123] The other parts of this embodiment are the same as any one of the above-mentioned embodiments 1 to 4, so they are not repeated here.

[0124] Embodiment 6:

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

[0126] Acquire a voltage signal from an external main power supply, and obtain a boosted voltage signal according to the voltage boost of the supercapacitor;

[0127] According to the boosted voltage signal, the ripple and quality of the external main power supply are analyzed to generate a filtering signal;

[0128] The filtering effect is dynamically adjusted according to the filtering 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] According to the set filtering characteristics, a filter transfer function is constructed;

[0131] According to the filter transfer function, the filter intervention degree and the filter effect are adjusted to obtain the filter equivalent value;

[0132] Dynamically analyze the ripple interference and calculate the control parameters based on the filter equivalent value, ripple reference signal and 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 characteristic.

[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 is run 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 program is run to further reduce power consumption, improve power utilization efficiency, and extend the backup power supply time of the system.

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

[0139] The other parts of this embodiment are the same as any one of the above-mentioned embodiments 1 to 5, so they will not be repeated here.

[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 protection scope 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 supply switching module and an open source Hongmeng CPU module; The input end of the backup power supply switching module is connected to the output end of the external main power supply, and the output end of the backup power supply 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 supply 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 according to the boosted voltage signal, generate a filtering signal to dynamically adjust the filtering effect of the backup power supply switching module, and upload it to the cloud through a distributed soft bus.

2. According to claim 1, the onboard backup power dynamic management system based on the open source Hongmeng system is characterized in that: 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 sampling 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 ripple and power quality of the power supply according to the acquired boosted voltage signal, calculate the control parameters in real time, and generate a filtering signal according to 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.

3. According to claim 2, the onboard backup power dynamic management system based on the open source Hongmeng system 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 sampling module, and the output end of the dynamic power adjustment module is connected to the cloud through a distributed soft bus; The dynamic power management module is used to dynamically adjust the power supply strategy according to the set remaining power of the supercapacitor, and monitor the power consumption through intelligent control 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.

4. According to claim 2, the onboard backup power dynamic management system based on the open source Hongmeng system is characterized in that: 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 super capacitor unit is connected to the output end of the external main power supply, and the output end of the super capacitor unit is connected to the input end of the DCDC boost unit; 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 sampling 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.

5. According to claim 4, the onboard backup power dynamic management system based on the open source Hongmeng system is characterized in that: 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 module, the controlled end of the MOS tube unit is connected to the output end of the control module; the output end of the filter module is connected to the input end of the sampling module.

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

7. According to claim 6, a method for dynamic management of onboard backup power supply based on the open source Hongmeng system 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; According to the set filtering characteristics, a filter transfer function is constructed; According to the filter transfer function, the filter intervention degree and the filter effect are adjusted to obtain the filter equivalent value; According to the filtering equivalent value, the ripple reference signal and the main frequency of the ripple, the ripple interference is dynamically analyzed and the control parameters are calculated; the ripple size is dynamically adjusted according to the control parameters to achieve targeted filtering.

8. According to claim 7, a method for dynamic management of onboard backup power supply based on the open source Hongmeng system 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 characteristic.

9. According to claim 6, a method for dynamic management of onboard backup power supply based on the open source Hongmeng system 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 is run 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.

10. According to claim 6, a method for dynamic management of onboard backup power supply based on the open source Hongmeng system 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 called to analyze historical data, summarize the operating rules according to the changes in the quality of the external power supply, and establish an operating model to automatically adjust the system parameters. By keeping the power quality of different filter module boards at a high level, the overall operating stability of the system is improved.

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