Integrated home intelligent photovoltaic energy storage system and equipment

Abstract

The application relates to the technical field of photovoltaic energy storage systems, and discloses an integrated household intelligent photovoltaic energy storage system and equipment, which comprises a photovoltaic charging module, an energy storage battery module, a bidirectional inversion module, a mains switching module and an intelligent main control module; the photovoltaic charging module, the energy storage battery module and the bidirectional inversion module are electrically connected through an internal DC bus; the intelligent main control module synchronously reads photovoltaic instantaneous power generation, battery state of charge and load side instantaneous consumption power, executes condition branch judgment logic based on the obtained power parameters, issues control instructions to the energy storage battery module and the mains switching module, and adjusts the charging and discharging state and the power taking power parameter to maintain global power balance. Through energy dynamic routing and bottom layer hardware and software cooperation, the application realizes multi-mode power supply adaptive switching, battery active balancing and dynamic thermal management, and improves household clean energy utilization efficiency, equipment integration and operation safety.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic energy storage system technology, specifically to an integrated home intelligent photovoltaic energy storage system and equipment. Background Technology

[0002] With the popularization of distributed clean energy policies and the increasing demand for energy conservation among residents, residential photovoltaic (PV) power generation systems have been widely used in urban and rural residential buildings. Currently, most mainstream residential PV energy storage systems on the market adopt a split architecture, mainly composed of independent PV modules, external inverters, separate energy storage batteries, and external distribution boxes. This split physical architecture results in low overall system integration, not only occupying a large amount of residential installation space but also causing complex on-site wiring, increasing installation procedures and labor costs. Furthermore, the messy physical wiring connections can easily lead to electrical safety hazards such as short circuits or poor connections during long-term home operation.

[0003] At the system operation and control level, due to differences in communication protocols and underlying hardware, the independent splicing devices generally suffer from signal interaction lag and low precision in collaborative control. The energy scheduling logic of existing systems is relatively simple and rigid, capable of only performing basic direct charging and discharging actions. It cannot adaptively route energy based on real-time lighting conditions, peak and off-peak electricity price fluctuations, and the dynamic power consumption of household loads, resulting in low photovoltaic clean energy absorption rate and large overall power loss.

[0004] In addition, traditional split-type equipment has a slow response speed when switching between grid-connected and off-grid power supply. It is prone to voltage interruption and large fluctuations at the moment of switching between mains power and energy storage power supply mode, which can easily cause sensitive household appliances to restart or be damaged, making it difficult to ensure the continuity of power supply to the load.

[0005] In terms of equipment physical environment and safety protection, traditional split systems lack a global dynamic thermal management and noise reduction mechanism. Each independent heat-generating component relies on its own passive heat dissipation, resulting in uneven overall heat distribution. Long-term high-temperature heat accumulation not only accelerates component aging and shortens equipment lifespan, but also seriously damages the indoor living environment with noise during high-load operation.

[0006] Meanwhile, the existing system's security protection functions are fragmented, lacking global status monitoring and transient physical locking mechanisms for multi-source DC and AC side composite operating conditions, making it difficult to meet the technical needs of modern families for highly integrated energy storage devices, intelligent adaptive control, silent operation, and ultimate power safety. Summary of the Invention

[0007] To address the shortcomings of existing technologies, this invention provides an integrated home intelligent photovoltaic energy storage system and equipment, which solves the problems of low integration, significant wiring safety hazards, low energy dynamic scheduling efficiency, delayed on-grid power supply switching, and lack of thermal safety protection caused by the split architecture of existing home photovoltaic energy storage systems.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solution: an integrated home intelligent photovoltaic energy storage system and equipment, including a photovoltaic charging module, an energy storage battery module, a bidirectional inverter module, a mains power switching module, and an intelligent main control module.

[0009] The various modules form a closed-loop control relationship through communication connections. The internal DC bus realizes the physical electrical connection between the photovoltaic charging module, the energy storage battery module, and the DC end of the bidirectional inverter module. The intelligent main control module synchronously reads the instantaneous photovoltaic power generation, state of charge, and instantaneous power consumption on the load side. Based on the acquired power parameters, it executes conditional branch judgment logic and issues control commands to the energy storage battery module and the mains switching module to maintain global power balance.

[0010] To address the scheduling problem of multiple energy access, this invention designs specific conditional branch judgment logic and dynamic routing principle. When the instantaneous photovoltaic power generation meets the load consumption and the state of charge has not reached the upper limit threshold of the state of charge preset in the internal memory of the intelligent main control module, the system executes the photovoltaic priority power supply strategy, controls the power parameter taken from the grid node to be reduced to zero, and introduces the remaining differential power into the energy storage battery module through the internal DC bus to perform constant current or constant voltage charging;

[0011] When photovoltaic power generation is insufficient and the state of charge reaches the lower discharge depth threshold, the system executes a grid power physical supplementation strategy, controlling the grid power switching module to close the power supply circuit and send a constant charging current command to the energy storage battery module. Combined with the updated time-of-use pricing function, the intelligent main control module sends a rectification mode command to the bidirectional inverter module during off-peak electricity price periods when the battery is not fully charged, and sends an inverter mode command during peak electricity price periods when the battery has sufficient charge.

[0012] At the underlying operating principle of each independent functional module, the photovoltaic charging module applies the conductivity increment judgment logic. By synchronously reading the instantaneous output voltage and instantaneous output current, comparing the magnitude of the current instantaneous output voltage with the maximum power point voltage, it adaptively increases or decreases the duty cycle of the drive signal output to the semiconductor switching transistor.

[0013] The energy storage battery module is equipped with an active balancing circuit network containing inductive energy storage elements. By screening the highest and lowest voltage cells and calculating the voltage difference, when the difference is greater than the active balancing trigger threshold, the electrical energy released by the highest voltage cell is temporarily transferred and stored in the inductive energy storage element, and then directionally released to the two ends of the lowest voltage cell to eliminate the voltage difference between the cells.

[0014] In response to grid anomalies and off-grid switching conditions, the intelligent main control module records the parameters of the mains input port to generate a grid valid status flag. When the logic value of the flag suddenly drops to zero, the system performs a transient physical disconnection and reconstructs the underlying digital model. The transient pulse drive circuit inside the mains switching module controls the energy storage capacitor component to release a pulsed DC current to the reset drive coil of the high-speed magnetic latching relay, inducing a transient magnetic field with opposite polarity to the internal permanent magnet component to counteract the attraction force, causing the mechanical action contacts to physically separate under the action of the mechanical spring potential energy.

[0015] Simultaneously, the digital control model of the bidirectional inverter module is switched from the grid-connected current source active and reactive power control model to the voltage and frequency control model for establishing an independent AC microgrid.

[0016] At the level of system physical environment and operational safety management, the intelligent main control module periodically acquires the extreme temperature inside the integrated sealed body. When the temperature is between the fan start-up temperature threshold and the maximum operating temperature limit, it sends a pulse duty cycle control level signal to the DC speed-regulating fan assembly to adjust the mechanical speed parameter and change the internal forced convection exchange physical flow.

[0017] The safety protection module constructs an abnormal state monitoring vector that includes short circuit, overload, reverse connection, and high temperature. For the overload state, an integral time-limit function is introduced to calculate the time integral energy. When the accumulated logical sum of the element values ​​of the abnormal state monitoring vector reaches a limit value, a hardware signal is sent to trigger the trip coil of the physical circuit breaker inside the integrated sealed body, cutting off the electrical connection and entering a physical lockout state.

[0018] A second aspect of the present invention provides an integrated home intelligent photovoltaic energy storage device, applied to the aforementioned integrated home intelligent photovoltaic energy storage system. The device includes a one-piece sealed housing, with system hardware modules integrated within the one-piece sealed housing.

[0019] In terms of the equipment's structural principle and interface layout, the outer sidewall surface of the integrated sealed casing is divided into physical areas with photovoltaic input ports, mains input ports, and load output ports, achieving physical isolation between strong and weak currents and different input sources. The bottom and top panels of the integrated sealed casing have physical openings and embedded honeycomb ventilation plate assemblies, serving as the bottom air inlet and top air outlet, respectively. This structure, in conjunction with the aforementioned DC speed-regulating fan assembly, forms an air convection path along the vertical direction of gravity inside the integrated sealed casing, achieving a thermodynamic cycle of cold air intake at the bottom and hot air exhaust at the top.

[0020] This invention provides an integrated home intelligent photovoltaic energy storage system and device. It has the following beneficial effects:

[0021] 1. This invention synchronously reads the power parameters and state of charge of multiple nodes through an intelligent main control module, and combines the time-of-use pricing function to execute conditional branch judgment logic to realize dynamic energy routing and allocation. It can adapt to load power consumption and electricity price fluctuations to optimize charging and discharging strategies. At the same time, in conjunction with the transient pulse drive circuit and high-speed magnetic latching relay in the mains power switching module, it physically disconnects the grid-connected circuit when it detects a sudden change in the effective state flag of the grid, and transiently switches the bidirectional inverter module to a voltage and frequency control model for establishing an independent AC microgrid. This realizes adaptive and seamless switching between grid-connected power supply and off-grid emergency power supply modes, ensuring the continuity of power consumption on the load side.

[0022] 2. This invention applies conductivity increment determination logic inside the photovoltaic charging module. By reading the instantaneous output parameters, it adaptively increases or decreases the duty cycle of the driving signal of the semiconductor switching transistor, thereby achieving maximum power point tracking and improving the conversion efficiency of photovoltaic DC power. Furthermore, it sets up an active balancing circuit network containing inductive energy storage elements in the energy storage battery module. Through temporary energy transfer and directional release, it eliminates the voltage difference between individual cells, overcomes the heat generation problem caused by traditional passive dissipative balancing, and improves the overall operating efficiency and lifespan of the energy storage battery module.

[0023] 3. This invention adopts an integrated sealed body structure to integrate various functional modules, which greatly simplifies the system wiring complexity. The honeycomb ventilation hole plate assembly at the bottom and top of the integrated sealed body creates an air convection path along the vertical direction of gravity. Combined with the DC speed-regulating fan based on extreme temperature parameter control to perform stepless speed regulation, it achieves efficient heat dissipation. In addition, the safety protection module constructs an abnormal state monitoring vector and introduces an integral time-limit function to accurately determine overload energy to trigger the physical circuit breaker tripping, which effectively improves the operational stability and safety of the whole machine in complex home electrical environments. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of the system modules of the present invention;

[0025] Figure 2 This is a schematic diagram of the main intelligent control process of the present invention;

[0026] Figure 3 This is a schematic diagram of the control flow of the photovoltaic MPPT maximum power point tracking algorithm of the present invention;

[0027] Figure 4 This is a schematic diagram of the decision tree for the multi-input source dynamic energy routing strategy of the photovoltaic-storage network of the present invention;

[0028] Figure 5 This is the timing diagram of the adaptive scheduling logic for this period based on the peak-valley electricity price curve of the present invention. Detailed Implementation

[0029] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] This invention provides an integrated home intelligent photovoltaic energy storage system and device, which may include: an integrated sealed body, and a photovoltaic charging module, an energy storage battery module, a bidirectional inverter module, an intelligent main control module, a mains power switching module, a heat dissipation and noise reduction module, a safety protection module and an emergency power supply module disposed inside the integrated sealed body.

[0031] The one-piece sealed body is made of flame-retardant and waterproof acrylonitrile butadiene styrene material and is formed by one-piece injection molding process.

[0032] The integrated sealed body has an IP65 protection rating.

[0033] The outer sidewall surface of the integrated sealed body is equipped with partitioned anti-misinsertion locking wiring ports.

[0034] The partitioned anti-misinsertion locking wiring ports are divided into photovoltaic input ports, mains input ports, and load output ports according to physical areas.

[0035] The top of the one-piece sealed casing has a top heat dissipation vent, and the bottom of the one-piece sealed casing has a support base and a bottom heat dissipation vent.

[0036] The front panel of the integrated sealed body is equipped with status indicator lights and operation buttons, while the side panel has a reserved communication interface.

[0037] The DC input terminal of the photovoltaic charging module is connected to a household photovoltaic module through the photovoltaic input port on the side wall of the integrated sealed body.

[0038] The DC output terminal of the photovoltaic charging module is physically and electrically connected to the DC input terminal of the energy storage battery module and the DC terminal of the bidirectional inverter module, respectively.

[0039] The communication port of the photovoltaic charging module is connected to the intelligent main control module through a data signal line.

[0040] The energy storage battery module has a built-in BMS battery management unit.

[0041] The positive and negative DC busbars of the energy storage battery module are respectively connected to the DC output terminal of the photovoltaic charging module and the DC terminal of the bidirectional inverter module.

[0042] The communication port of the BMS battery management unit is connected to the intelligent main control module via a data signal line.

[0043] The AC terminal of the bidirectional inverter module is electrically connected to the internal relay contacts of the mains switching module.

[0044] The AC output of the bidirectional inverter module is connected to the household load circuit through the load output port on the side wall of the integrated sealed chassis.

[0045] The control port of the bidirectional inverter module is connected to the intelligent main control module via a data signal line.

[0046] The AC input terminal of the mains power switching module is connected to the mains power grid node through the mains power input port on the side wall of the integrated sealed body.

[0047] The AC output terminal of the mains switching module is electrically connected in parallel with the AC terminal of the bidirectional inverter module.

[0048] The control port of the mains power switching module is connected to the intelligent main control module via a data signal line.

[0049] The trigger control terminal of the emergency power supply module establishes a logical linkage connection with the signal ports of the intelligent main control module, the bidirectional inverter module, and the energy storage battery module, respectively.

[0050] The input and output ports of the intelligent main control module are physically connected to the photovoltaic charging module, energy storage battery module, bidirectional inverter module, mains power switching module, heat dissipation and noise reduction module, and safety protection module through an internal electrical bus.

[0051] The heat dissipation and noise reduction module includes a hardware fan and a passive heat dissipation layer, which are arranged on the surface of the heat-generating components and on the internal convection airflow path inside the integrated sealed body.

[0052] The fan drive port of the heat dissipation and noise reduction module establishes a level control signal connection with the intelligent main control module.

[0053] The electrical sampling circuit breaker components of the safety protection module are connected in series in the electrical main circuit nodes of the photovoltaic charging module, the mains switching module, and the bidirectional inverter module.

[0054] The fault feedback port of the safety protection module establishes a signal connection with the intelligent main control module.

[0055] See attached document Figure 1 The photovoltaic charging module is equipped with a DC input circuit and a DC output circuit.

[0056] The physical terminals of the DC input circuit are connected to external household photovoltaic modules.

[0057] The photovoltaic charging module is internally equipped with a voltage sampling circuit, a current sampling circuit, a main control microprocessor, and a DC-to-DC power conversion circuit.

[0058] The input terminal of the voltage sampling circuit is connected in parallel with the DC input circuit to obtain the instantaneous output voltage of the photovoltaic module. .

[0059] The sensor in the current sampling circuit is connected in series with the DC input circuit to acquire the instantaneous output current of the photovoltaic module. .

[0060] The signal output terminals of the voltage sampling circuit and the current sampling circuit are electrically connected to the analog-to-digital conversion pins of the main control microprocessor, respectively.

[0061] The DC-to-DC power conversion circuit includes a first semiconductor switch, a second semiconductor switch, an energy storage inductor, and a filter capacitor.

[0062] The pulse width modulation pins of the main control microprocessor are connected to the gates of the first semiconductor switch and the second semiconductor switch, respectively.

[0063] The main control microprocessor controls the on and off states of the semiconductor switching transistors by outputting a level signal with a set duty cycle, thereby adjusting the voltage conversion ratio between the DC input circuit and the DC output circuit.

[0064] A starting capacitor assembly is connected in parallel in the DC input circuit of the photovoltaic charging module.

[0065] When the ambient light intensity is in the low light range, which limits the input power, the charge generated by the photovoltaic module accumulates in the starting capacitor module.

[0066] When the voltage across the start-up capacitor assembly reaches the preset start-up voltage threshold of the main control microprocessor, the main control microprocessor powers on and outputs a drive pulse to the semiconductor switching transistor, starting the DC-to-DC power conversion circuit to perform power conversion.

[0067] See attached document Figure 3 The main microprocessor's memory contains the maximum power point tracking algorithm program.

[0068] The main control microprocessor synchronously reads the instantaneous output voltage at the current moment according to the preset time sampling period. With instantaneous output current .

[0069] The main control microprocessor calculates the current instantaneous output power using the following formula. :

[0070] ;

[0071] The maximum power point tracking algorithm program calculates and distributes the duty cycle parameters of semiconductor switching transistors based on the conductance increment determination logic.

[0072] The main control microprocessor calculates the voltage change between the current sampling period and the previous sampling period. With change in current .

[0073] The maximum power output operating condition of a photovoltaic module satisfies the following differential equation condition:

[0074] ;

[0075] Rearranging the above conditions, when the photovoltaic charging module operates at its maximum power point, its electrical parameters satisfy the following relationship:

[0076] ;

[0077] The main control microprocessor performs a logical comparison of the above relationship based on the collected parameters.

[0078] If the calculation result of the main control microprocessor satisfies If the operating voltage of the photovoltaic module is determined to be lower than the maximum power point voltage, the main control microprocessor reduces the duty cycle of the drive signal output to the semiconductor switching transistor to increase the operating voltage of the DC input circuit.

[0079] If the calculation result of the main control microprocessor satisfies If the current operating voltage of the photovoltaic module is determined to be higher than the maximum power point voltage, the main control microprocessor increases the duty cycle of the drive signal output to the semiconductor switching transistor to reduce the operating voltage of the DC input circuit.

[0080] The main control microprocessor continuously executes parameter acquisition and duty cycle adjustment steps until the calculation result is determined to meet the requirements. Or determine the voltage change. If the value is zero, the current duty cycle of the drive signal remains unchanged.

[0081] The DC power, after being converted by the DC-to-DC power conversion circuit, is transmitted unidirectionally to the input terminal of the energy storage battery module or the DC node of the bidirectional inverter module via the DC output circuit.

[0082] The energy storage battery module includes lithium iron phosphate battery clusters and battery management system circuit components.

[0083] A lithium iron phosphate battery cluster is composed of multiple individual lithium iron phosphate cells physically connected by conductive busbars in a preset series-parallel topology.

[0084] The battery management system circuit components include a microprocessor chip, an analog front-end acquisition circuit, a charging and discharging main circuit contactor, and an active balancing circuit network.

[0085] The analog front-end acquisition circuit leads out multiple sets of voltage detection harnesses. The metal terminals of the voltage detection harnesses are fixedly connected to the positive and negative tab nodes of each individual lithium iron phosphate cell to obtain the terminal voltage data of each individual cell in real time.

[0086] Multiple negative temperature coefficient thermistors are arrayed and attached to the outer surface of the single lithium iron phosphate cell, and are physically connected to the temperature sensing pins of the analog front-end acquisition circuit to obtain physical temperature distribution data of the internal area of ​​the battery pack.

[0087] A high-precision current shunt is connected in series in the main negative electrode circuit of the lithium iron phosphate battery cluster. The voltage drop signal across its two ends is input to the analog front-end acquisition circuit to obtain the instantaneous current of the main charging and discharging circuit. .

[0088] The microprocessor chip has an internal state estimation algorithm unit. The microprocessor chip periodically reads the instantaneous current via its internal data bus. data.

[0089] The microprocessor chip uses an ampere-hour integral model to calculate the battery's state of charge at the current moment. The calculation formula is as follows:

[0090] ;

[0091] In the formula, This represents the reference value of the state of charge recorded by the system at the initial moment. This indicates the nominal total physical capacity of the lithium iron phosphate battery cluster. This represents the instantaneous current variable in the circuit. The system defaults to a positive value when the battery is discharging and a negative value when it is charging. This is the time integration variable.

[0092] The active balancing circuit network includes multiple bidirectional DC-DC power converters and inductive energy storage elements configured inside the converters. The input and output nodes of the bidirectional DC-DC power converters are connected in parallel to the two poles of each individual lithium iron phosphate cell.

[0093] The microprocessor chip periodically iterates through all individual battery cells to obtain real-time voltage samples, and uses a comparison algorithm to select the cell with the highest current voltage. With the lowest voltage single unit value .

[0094] Microprocessor chip calculates voltage range value Its calculation logic is as follows: .

[0095] When the microprocessor chip determines the voltage range When the threshold value exceeds the system's preset active equalization trigger threshold, a pulse width modulation control command is output to the active equalization circuit network.

[0096] A controlled bidirectional DC-DC power converter turns on specific switching transistors to achieve the highest voltage value in the corresponding individual unit. The electrical energy output from a single battery cell is temporarily transferred and stored in an inductive energy storage element.

[0097] Subsequently, the microprocessor chip switches the control timing, turning on the switching transistor of another circuit, and directionally releasing the temporarily stored electrical energy in the inductor energy storage element to the lowest corresponding single-cell voltage value. The two ends of a single battery cell.

[0098] The energy transfer process continues until the microprocessor chip detects the difference. When the power drops to within the system's preset equalization stop threshold range, the bidirectional DC-DC power converter stops operating.

[0099] The microprocessor chip's memory is pre-written with overvoltage protection thresholds, undervoltage protection thresholds, and abnormal temperature alarm thresholds.

[0100] When the voltage data of any single unit fed back by the analog front-end acquisition circuit is higher than the overvoltage protection threshold or lower than the undervoltage protection threshold, the control pin of the microprocessor chip outputs a low-level signal.

[0101] A low-level signal cuts off the power supply to the drive coil of the charging and discharging main circuit contactor, physically disconnecting the main node of the energy storage battery module from outputting or receiving electrical energy.

[0102] The microprocessor chip synchronously calculates the slope of temperature data changes. When the absolute value of the locally monitored temperature exceeds the temperature anomaly alarm threshold, or the slope of temperature change exceeds the set temperature rise rate limit, the microprocessor chip sends a thermal runaway early warning data frame to the intelligent main control module and simultaneously triggers the contactor to cut off the charging and discharging main circuit.

[0103] The bidirectional inverter module is equipped with a DC end and an AC end. Its DC end is physically and electrically connected to the energy storage battery module and the photovoltaic charging module through the internal DC bus, respectively. Its AC end is physically and electrically connected to the mains switching module and the load line.

[0104] The internal hardware topology of the bidirectional inverter module includes a DC bus capacitor, a full-bridge high-frequency switching circuit, an AC filter circuit, and a digital signal processor.

[0105] The full-bridge high-frequency switching circuit contains four high-power semiconductor switching devices, and in terms of physical layout, the bridge arms, which are connected in parallel in pairs to form an H-bridge structure.

[0106] The AC filter circuit uses an LC low-pass filter network composed of inductors and capacitors. Its input node is connected to the midpoint of the H-bridge structure, and its output node serves as the AC output terminal of the module.

[0107] The pulse output pin of the digital signal processor is electrically connected to the control gate of each high-power semiconductor switching device through an optocoupler isolation drive circuit.

[0108] When the system is in inverter discharge mode, the DC bus capacitor receives DC power from the photovoltaic charging module or the energy storage battery module to maintain a stable bus voltage.

[0109] The digital signal processor has a preset discrete digital sequence of associated output voltage specifications in its memory, which generates a sinusoidal reference signal and a high-frequency triangular carrier signal during operation.

[0110] The mathematical governing equation for the sinusoidal reference signal is expressed as follows:

[0111] ;

[0112] In the formula, Indicates that in the control loop The instantaneous reference voltage value generated at each moment. This indicates the set peak value of the output AC voltage (corresponding to 220V RMS). This indicates the set output power frequency parameter (50Hz). This represents the initial phase angle that is dynamically adjusted according to the control mode. This represents the sine function.

[0113] The digital signal processor executes a comparison instruction to logically compare the sinusoidal reference signal with the set high-frequency triangular carrier signal, generate a sinusoidal pulse width modulation control signal, and send it to the high-power semiconductor switching device.

[0114] Each high-power semiconductor switching device performs sequential switching actions based on the received pulse width modulation signal, converting the constant DC voltage on the DC bus into a high-frequency pulse AC voltage with equal amplitude and unequal width.

[0115] A high-frequency pulsed AC voltage flows through an AC filter circuit. The inductor in the AC filter circuit impedes sudden current changes, and the capacitor bypasses the high-frequency signal, attenuating and filtering out the subharmonic energy corresponding to the switching frequency.

[0116] After the filtering operation is completed, the bidirectional inverter module outputs a pure sine wave AC voltage at the power frequency that meets the specified harmonic content at the AC terminal.

[0117] A Hall current sensor is connected in series in the AC circuit of the bidirectional inverter module, and a voltage transformer is connected in parallel. The real-time sampling signal is input to the analog-to-digital conversion channel of the digital signal processor.

[0118] When a resistive, inductive, or capacitive load is connected to the AC terminal, the digital signal processor reads the phase offset parameter of the current sensor and the drop parameter of the voltage transformer.

[0119] The digital signal processor calls a voltage and current dual closed-loop control algorithm to obtain an error signal by subtracting the sampled value from the reference value. The error signal is then corrected in real time through proportional-integral operations to maintain the constant amplitude and frequency of the output AC voltage.

[0120] When the system operates under the condition of the mains power grid charging the energy storage battery module, the energy flow direction of the bidirectional inverter module is reversed, and it operates as an active rectifier.

[0121] At this time, the AC mains voltage enters the full-bridge high-frequency switching circuit through the AC filter circuit.

[0122] The digital signal processor runs a phase-locked loop algorithm to read the zero-crossing phase of the mains voltage and outputs a synchronous control pulse to drive four high-power semiconductor switching devices to conduct, converting AC power into DC power.

[0123] The converted DC power charges the DC bus capacitor, maintaining the DC bus voltage at a set level, thereby providing charging power to the energy storage battery module.

[0124] The mains power switching module is equipped with input terminal nodes, output terminal nodes, and control signal receiving pins.

[0125] The input terminal is connected to the AC input port on the integrated sealed chassis via a conductive wiring harness inside the chassis.

[0126] The output node and the AC output of the bidirectional inverter module are connected in parallel at the AC bus node inside the system. The AC bus node is connected to the load output port via physical cables.

[0127] The mains power switching module integrates a power grid parameter monitoring circuit, a transient pulse drive circuit, and a high-speed magnetic latching relay hardware component.

[0128] The internal mechanical structure of a high-speed magnetic latching relay includes a permanent magnet assembly, a set drive coil, a reset drive coil, and mechanical action contacts that respond to electromagnetic fields.

[0129] The mechanical action contacts are connected in series on the main flow circuit where the input and output nodes are located.

[0130] Relying on the constant magnetic field force provided by the permanent magnet assembly, the mechanical action contacts maintain their current physical closed or physical open position without external coil current excitation, and do not generate maintenance power consumption during the static period.

[0131] The sampling terminal of the power grid parameter monitoring circuit is connected in parallel to the input terminal node, and the instantaneous AC voltage signal of the mains power grid is obtained in real time through the transformer step-down and analog-to-digital conversion circuit.

[0132] The power grid parameter monitoring circuit transmits the acquired digital signals to the intelligent main control module via opto-isolation devices.

[0133] The intelligent main control module extracts the effective value parameter of the fundamental voltage based on the received instantaneous AC voltage signal.

[0134] The intelligent main control module internally runs a power grid status determination program to determine whether the current mains power status meets the disconnection and isolation conditions. The judgment logic expression is as follows:

[0135] ;

[0136] In the formula, This represents the calculated effective value parameter of the mains fundamental voltage. This indicates the preset undervoltage threshold parameter for mains input stored in the memory. This indicates the preset AC input overvoltage threshold parameter stored in the memory.

[0137] When the logic judgment result of the intelligent main control module is true, it outputs a trigger command for a specified level jump to the transient pulse drive circuit.

[0138] The transient pulse drive circuit responds to the trigger command and turns on the internal semiconductor power switching device, causing the pre-charged energy storage capacitor component to instantly release a high-amplitude pulsed DC current to the reset drive coil of the high-speed magnetic latching relay.

[0139] After the reset drive coil is turned on, a transient magnetic field with the opposite polarity to that of the permanent magnet assembly is generated. This transient magnetic field cancels out the attraction force of the permanent magnet.

[0140] The mechanical action contact performs a spring-back separation action under the potential energy of the internal mechanical spring, physically cutting off the current-carrying circuit between the mains input port and the AC bus node.

[0141] The execution cycle from the time the intelligent main control module outputs the trigger command until the mechanical action contact completes the complete separation action is less than or equal to 10 milliseconds.

[0142] During this execution period, the intelligent main control module synchronously issues instructions to drive the bidirectional inverter module to reconfigure from the grid-connected current source working mode constrained by the power grid to the independent voltage source working mode.

[0143] The bidirectional inverter module takes over the voltage support task of the AC bus node within a microsecond-level operation cycle, outputting an AC voltage with constant amplitude and frequency to maintain the continuity of the power supply waveform at both ends of the downstream connected load equipment.

[0144] Once the effective value of the mains fundamental voltage is detected to return to the preset threshold range and remain within the preset time period, the intelligent main control module drives the bidirectional inverter module to run the digital phase-locked loop algorithm to adjust the phase of its output AC waveform to be synchronized with the phase of the grid waveform.

[0145] After phase synchronization, the transient pulse drive circuit releases a reverse drive pulse current to the set drive coil, driving the mechanical action contact to overcome the spring tension and close the lock, thus restoring the physical circuit connection to the mains power grid.

[0146] The heat dissipation and noise reduction module includes a thermally conductive silicone grease dielectric layer, a metal heat dissipation profile assembly, a DC speed-regulating fan assembly, a honeycomb ventilation hole plate assembly, and a sound-absorbing and noise-reducing material layer.

[0147] For the high-power semiconductor switching devices configured inside the bidirectional inverter module and photovoltaic charging module, a thermally conductive silicone grease dielectric layer is uniformly coated on the gap between the metal substrate surface at the bottom of the high-power semiconductor switching device and the metal heat dissipation profile assembly base surface to fill the micro-voids of the metal physical contact surface and reduce the interface contact thermal resistance.

[0148] The physical internal cavity structure of the one-piece sealed body forms an air convection path along the vertical direction of gravity.

[0149] The bottom panel area of ​​the integrated sealed body has a physical opening and a honeycomb ventilation plate assembly is embedded therein, serving as the bottom air inlet for external cold air to flow in. The top panel area of ​​the integrated sealed body has a physical opening and a honeycomb ventilation plate assembly is embedded therein, serving as the top air outlet for internal hot air to be discharged.

[0150] This physical structure, with air outlet at the top and air intake at the bottom, conforms to the natural convection physics law that causes ambient air to flow vertically upwards due to density differences created by the heating elements.

[0151] The sound-absorbing and noise-reducing material layer is made of porous polyurethane material, with one side coated with industrial adhesive, and physically attached to the surface of the solid plastic side wall panel inside the chassis through which the air convection path flows.

[0152] Because the sound-absorbing and noise-reducing material layer has a connected micro-air chamber structure inside, when the mechanical vibration sound waves generated by the operation of the DC speed-regulating fan assembly and the high-frequency wind noise generated by air disturbance come into contact with the surface of the material layer, the sound energy is physically converted into heat energy due to internal air friction and material skeleton displacement, and thus the amplitude is attenuated.

[0153] The DC speed-regulating fan assembly is bolted to the structural support on the inner side of the top air outlet area, with its exhaust surface facing the outer side of the honeycomb ventilation hole plate assembly.

[0154] The power supply positive and negative cables and speed control signal cables of the DC speed-regulating fan assembly are connected to the pulse width modulation output hardware port set in the intelligent main control module.

[0155] The microprocessor internal storage unit of the intelligent main control module contains a dynamic temperature control logic program.

[0156] The intelligent main control module periodically and synchronously acquires real-time temperature data samples from multiple nodes inside the integrated sealed body through an internal communication bus and thermal sensors physically distributed on the surface of each heat-generating component.

[0157] The microprocessor is set to read the extreme internal temperature of the unibody sealed chassis within one operating cycle. The fan start temperature threshold pre-configured in the internal memory is The preset maximum operating temperature limit for the equipment is [value missing]. .

[0158] Based on the real-time comparison and calculation results, the microprocessor sends a pulse duty cycle control level signal to the DC speed-regulating fan assembly to determine its mechanical speed parameters. The closed-loop control relationship of the speed output satisfies the following piecewise algebraic equation:

[0159] ;

[0160] In the formula, For the pre-set proportional adjustment constant coefficient, Minimum starting speed limit parameter for the physical design of DC speed-regulating fan assemblies. This is the maximum speed limit parameter for a DC speed-regulating fan assembly operating under rated supply voltage.

[0161] Based on the above physical structure and closed-loop logic control mechanism, the DC speed-regulating fan assembly strictly follows the algebraic calculation results of the internally monitored temperature gradient to perform stepless speed regulation. By changing the speed parameter, it directly changes the physical flow rate of forced convection exchange of hot and cold air in the integrated sealed body cavity.

[0162] Under the test condition that the entire circuit of the equipment is operating at full load and maximum power, the sound pressure level parameter obtained by the external instrument at a fixed distance from the external environment of the chassis is maintained within a fixed value range of no more than 35 dB.

[0163] The safety protection module includes a two-stage lightning surge protection circuit assembly. This two-stage lightning surge protection circuit assembly consists of a varistor device and a gas discharge tube device connected in series and parallel.

[0164] In terms of physical layout, the secondary surge protection circuit components are connected in parallel between the DC positive and negative busbars of the photovoltaic input port on the side wall of the integrated sealed body, and between the AC phase line, neutral line and protective grounding terminal of the mains input port.

[0165] When lightning-induced overvoltage or power grid transient surge occurs, the instantaneous voltage parameter across the varistor device exceeds its physical breakdown threshold, and its semiconductor equivalent impedance drops to the milliohm level within a nanosecond time period.

[0166] This low-impedance physical conduction lightning discharge circuit directs high-amplitude instantaneous charges into the protective grounding circuit network, thereby clamping the peak voltage of the input node of the subsequent power electronic equipment.

[0167] The safety protection module has a semiconductor reverse connection protection circuit connected in series on the DC current path after the photovoltaic input port.

[0168] The semiconductor reverse connection protection circuit is constructed using an N-channel metal-oxide-semiconductor field-effect transistor device. Its internal source and drain nodes are connected in series on the negative physical conductor of the system, and the gate node is connected to the positive conductor of the system through a bias voltage divider resistor network.

[0169] When the positive and negative cables of the external photovoltaic module are physically misconnected, the gate node is in a reverse bias state, and the metal-oxide-semiconductor field-effect transistor device remains in a high impedance cutoff state, physically blocking the reverse flow of DC charge and preventing the internal polarity sensitive capacitor component and semiconductor device from being subjected to reverse polarity bias voltage.

[0170] The safety protection module is equipped with a backflow prevention sensor at the AC power input port. This sensor is a high-precision Hall effect closed-loop current sensor connected to the AC main phase line, and its analog signal output pin is connected to the intelligent main control module.

[0171] The intelligent main control module reads the amplitude parameter of the AC current waveform and the phase difference parameter relative to the AC voltage waveform.

[0172] When the device is not in grid-connected feedback power generation mode, and the intelligent main control module calculates and determines that the active power flows from the inside of the integrated sealed body to the mains input port, and maintains this for more than the preset time parameter, the pin of the intelligent main control module outputs a level signal to drive the mains circuit relay to disconnect the physical contacts.

[0173] The safety protection module has a hardware sampling resistor and a high-speed comparator isolation circuit connected in series on the AC output main circuit after the bidirectional inverter module for real-time detection of short circuits and overloads at the load end.

[0174] The non-inverting input of the high-speed comparator isolation circuit receives the voltage drop signal from the hardware sampling resistor, the inverting input is connected to the hardware reference voltage network, and the output is connected to the external interrupt pin of the intelligent main control module.

[0175] Define the real-time output current parameter of the main circuit on the load side as follows: The system's pre-configured hardware short-circuit protection current threshold parameter is: Define the real-time output active power parameter on the load side as follows: The system hardware rated output power parameter is .

[0176] The intelligent main control module runs an anomaly monitoring subroutine to build and maintain anomaly state monitoring vectors. This vector consists of a series of Boolean characteristic flags, and its expression is: These correspond to four abnormal states: short circuit, overload, reverse connection, and high temperature.

[0177] The intelligent main control module executes the following hardware or software judgment and assignment rules on the above feature flags: when detected When the comparator flips its output pulse, it triggers a hardware interrupt, directly assigning a value to the short-circuit fault bit. .

[0178] For overload fault location The intelligent main control module uses an integral time-limit function for judgment calculation:

[0179] ;

[0180] The calculation conditions in the above relation are based on Based on, among which Let the independent variable be the time integral. The parameter at the current sampling time. This is a pre-set and stored overload energy tolerance limit value in an internal register. When the calculation result satisfies this inequality condition, a value is assigned. .

[0181] The intelligent main control module periodically calculates the abnormal state monitoring vector according to the set clock frequency. The sum of all numerical elements in the equation.

[0182] The triggering conditions for state actions strictly follow the logical judgment formula:

[0183] ;

[0184] In the formula, Indicates the first Characteristic flags of abnormal states

[0185] The intelligent main control module determines that the system is physically abnormal if and only if the result of the above formula is logically true.

[0186] At this time, the multi-channel general-purpose input / output pins of the intelligent main control module are synchronously set to low-level control signals.

[0187] The first low-level control signal shuts off the trigger drive pulse of the insulated gate bipolar transistor in the bidirectional inverter module; the second low-level control signal triggers the trip coils of all physical circuit breakers inside the chassis, cutting off all metal connection nodes of the photovoltaic, battery, mains power and load.

[0188] At the same time, the third low-level control signal connects the piezoelectric buzzer and red LED circuit on the front panel of the integrated sealed body, executing acoustic and optical physical action broadcasts with fixed frequency parameters.

[0189] The system enters a physical lockout state, stopping all power conversion and routing scheduling processes, and maintaining the circuit breaker's self-locking shutdown mechanism until it receives an externally input manual physical reset level pulse signal.

[0190] See attached document Figure 2 This invention includes an intelligent collaborative control method for an integrated home intelligent photovoltaic energy storage system. The control logic program code of this method is burned into the internal memory of the microprocessor of the intelligent main control module and executed sequentially according to a preset clock cycle. The control method specifically includes the following execution steps:

[0191] The first step is to perform the device power-on initialization and full-dimensional hardware self-test process.

[0192] After power-on reset, the microprocessor sequentially sends status polling data frames to the photovoltaic charging module, energy storage battery module, bidirectional inverter module, mains power switching module, safety protection module, and heat dissipation and noise reduction module via the internal electrical bus.

[0193] The microprocessor receives response data frames from each module and constructs a system health status vector. .

[0194] In the system health state vector In, elements Corresponding to the state parameters of the photovoltaic charging module, element Corresponding state parameters of the energy storage battery module, element The corresponding state parameters of the bidirectional inverter module, element Corresponding to the status parameters of the mains power switching module, element Corresponding to the status parameters of the security protection module, element The status parameters of the corresponding heat dissipation and noise reduction module.

[0195] When the internal hardware circuit and communication link of the corresponding module report no abnormal parameters, the microprocessor sets the feature to 1; if an open circuit, short circuit or communication timeout parameter is detected, the microprocessor sets the feature to 0.

[0196] The microprocessor calculates the system global status flags according to the following product formula. :

[0197] ;

[0198] In the formula, Indicates the first System health status vector of each submodule

[0199] When the calculation result is determined When the microprocessor releases the global electrical lockout, it allows the power conversion operation; when it determines... At the same time, the physical circuit breaker is kept in the normally open state, and an alarm data packet carrying the specific fault characteristic bit address is sent out through the communication interface.

[0200] The second step is to perform real-time data acquisition and global power balance calculation.

[0201] The microprocessor synchronously reads the current sampling time. Instantaneous photovoltaic power generation Instantaneous power consumption on the load side and the state of charge fed back by the energy storage battery module .

[0202] Define the physical charge and discharge power of the energy storage battery module as follows: This parameter is set to a positive value to indicate that the battery is in a physical charging state, and a negative value to indicate that the battery is in a physical discharging state. The grid-connected power is defined as... Setting this parameter to a positive value indicates that the device draws power physically from the mains power grid.

[0203] The microprocessor maintains the following global power balance constraint equation during any sampling period:

[0204] ;

[0205] See attached document Figure 4 The third step is to perform dynamic energy routing judgment between multiple input sources and loads.

[0206] The microprocessor executes conditional branching logic based on the acquired power parameters. When the condition is met... and ( When the preset upper limit of state of charge is reached, the photovoltaic priority power supply strategy is executed.

[0207] Under this strategy, the microprocessor issues instructions for control. The electricity generated by the photovoltaic charging module is directly distributed to the bidirectional inverter module to match the load demand, and the remaining power difference is distributed according to... The values ​​are fed into the energy storage battery module through the DC bus to perform constant current or constant voltage charging.

[0208] When the judgment condition is met and ( When the preset state-of-charge limit discharge depth threshold is reached, a mains power physical replenishment strategy is executed. The microprocessor controls the mains power switching module to close, allowing the grid power to supplement the load demand, and sends a constant charging current command to the energy storage battery module.

[0209] See attached document Figure 5 The fourth step is to execute the time-adaptive scheduling logic based on the peak-valley electricity price curve.

[0210] The microprocessor establishes a transmission control protocol connection with the cloud server through its built-in wireless communication unit, and periodically downloads and updates the time-of-use electricity pricing function in its local memory. .

[0211] The microprocessor reads the timestamp parameter provided by the real-time clock circuit and divides the entire day's operation cycle into off-peak electricity price intervals. Peak electricity price range .

[0212] When the current sampling time of the real-time clock and At that time, the microprocessor sends a rectification operating mode command to the bidirectional inverter module to control it. and It converts AC power from the power grid into DC power to charge the battery clusters.

[0213] When the current sampling time of the real-time clock and At that time, the microprocessor sends an inverter operating mode command to the bidirectional inverter module to control it. This forces the release of battery energy storage to maintain the operation of downstream loads, while simultaneously adjusting the inverter output voltage phase through a control algorithm to optimize the power parameters drawn from the grid node. .

[0214] The fifth step is to execute the transient switching closed-loop control of the on-grid and off-grid power supply modes.

[0215] The microprocessor continuously records the effective voltage value of the mains input node using an analog-to-digital converter channel. With frequency parameters Define the power grid valid status flag bits. Its state determination logic is as follows:

[0216] ;

[0217] In the formula, All of these are physical safety boundary constants pre-written into non-volatile memory.

[0218] When detected When the logical value changes abruptly from 1 to 0, the highest priority internal hardware interrupt is triggered.

[0219] In the interrupt service routine, the microprocessor immediately outputs a drive level to the mains switching module to disconnect the physical grid-connected contactor. Simultaneously, it sends a low-level reconfiguration command to the bidirectional inverter module, transiently switching the inverter's digital control model from a grid-following current source active and reactive power control model to a voltage and frequency control model establishing an independent AC microgrid, where the energy storage battery module directly supports the load's AC voltage.

[0220] When detected After the logic value is restored to 1 and remains there for the set delay period, the microprocessor starts the digital phase-locked loop algorithm module, acquires the phase angle of the AC waveform of the power grid, and adjusts the frequency and phase of the inverter output waveform until the difference approaches zero. After synchronization is completed, the physical contactor is closed to switch the inverter control model back to current source mode.

[0221] Step 6: Execute a background security and thermal management thread that is independent of power dispatch.

[0222] During the cycle of executing steps one through five above, the microprocessor allocates independent timer resources to execute the dynamic temperature control algorithm and global safety protection logic described above.

[0223] Based on the sampled values ​​of the physical temperature sensor The system continuously substitutes piecewise algebraic equations to calculate the duty cycle and outputs PWM levels to update the physical speed of the cooling fan; it also synchronously accumulates abnormal state monitoring vectors. When the element value is greater than or equal to the limit value of 1, it will exceed and block all scheduling instructions from the first to the fifth step, and unconditionally trigger the physical power-off tripping action.

Claims

1. An integrated home intelligent photovoltaic energy storage system, characterized in that, include: A photovoltaic charging module is used to convert the DC power input from an external household photovoltaic module into the power required by the system, and to output the instantaneous photovoltaic power generation in real time during the power conversion process; Energy storage battery modules are used to output or receive electrical energy to the outside and provide real-time feedback on the current state of charge of the battery. A bidirectional inverter module, wherein the DC end of the bidirectional inverter module is physically and electrically connected to the energy storage battery module and the photovoltaic charging module through an internal DC bus, for outputting AC power to the AC bus node and simultaneously collecting the instantaneous power consumption on the load side; The mains power switching module is used to physically disconnect the current-carrying loop between the mains power input port and the AC bus node, and to adjust the power parameters taken from the grid node. The intelligent main control module is used to synchronously read the instantaneous photovoltaic power generation, the state of charge, and the instantaneous power consumption of the load side. Based on the acquired power parameters, it executes conditional branch judgment logic and issues control commands to the energy storage battery module and the mains power switching module to maintain global power balance.

2. The integrated home intelligent photovoltaic energy storage system according to claim 1, characterized in that, The specific process by which the intelligent main control module executes the conditional branch judgment logic includes: When the instantaneous power generation of the photovoltaic is greater than or equal to the instantaneous power consumption of the load side, and the state of charge is less than the upper limit threshold of the state of charge preset in the internal memory of the intelligent main control module, the photovoltaic priority power supply strategy is executed, the power parameter of the power taken from the grid node is reduced to zero, and the remaining power difference generated is introduced into the energy storage battery module through the internal DC bus to perform constant current or constant voltage charging. When the instantaneous photovoltaic power generation is less than the instantaneous power consumption on the load side, and the state of charge is less than or equal to the minimum discharge depth threshold of the state of charge preset in the internal memory of the intelligent main control module, the mains power physical power replenishment strategy is executed, the mains power switching module is controlled to close, and a constant charging current command is sent to the energy storage battery module.

3. The integrated home intelligent photovoltaic energy storage system according to claim 1, characterized in that, The photovoltaic charging module is equipped with a semiconductor switching transistor. The photovoltaic charging module synchronously reads the instantaneous output voltage and instantaneous output current at the current moment according to a preset time sampling period. Based on the conductivity increment determination logic, if the photovoltaic charging module determines that the instantaneous output voltage of the current household photovoltaic module is lower than the maximum power point voltage, it controls to reduce the duty cycle of the drive signal output to the semiconductor switching transistor. If the photovoltaic charging module determines that the instantaneous output voltage of the current household photovoltaic module is higher than the maximum power point voltage, it controls to increase the duty cycle of the drive signal output to the semiconductor switching transistor.

4. The integrated home intelligent photovoltaic energy storage system according to claim 1, characterized in that, The energy storage battery module includes multiple individual battery cells and an active balancing circuit network, the active balancing circuit network containing an inductive energy storage element. The active balancing circuit network is used to obtain the real-time voltage sampling values ​​of all the individual cells and to filter out the current highest voltage individual cell and the lowest voltage individual cell. The active balancing circuit network is also used to calculate the voltage range value. When it is determined that the voltage range value is greater than the active balancing trigger threshold set in the intelligent main control module, the electrical energy output of the corresponding highest voltage single cell is temporarily transferred and stored in the inductor energy storage element, and then released directionally to the two ends of the corresponding lowest voltage single cell, until the voltage range value is detected to drop to the balancing stop threshold range set in the intelligent main control module.

5. An integrated home intelligent photovoltaic energy storage system according to claim 1, characterized in that, The control chip of the bidirectional inverter module stores a digital control model, and the mains power switching module includes a physical grid-connected contactor. The intelligent main control module continuously records the effective voltage value and frequency parameters of the mains input port for determination and generates a grid effective status flag bit; When the logic value of the effective status flag bit of the power grid changes abruptly from one to zero, the intelligent main control module outputs a drive level to the mains switching module, disconnects the physical grid-connected contactor, and transiently switches the digital control model of the bidirectional inverter module from the grid-following current source active and reactive power control model to the voltage and frequency control model for establishing an independent AC microgrid.

6. An integrated home intelligent photovoltaic energy storage system according to claim 5, characterized in that, The mains power switching module integrates a transient pulse drive circuit and a high-speed magnetic latching relay. The high-speed magnetic latching relay includes a reset drive coil, a permanent magnet assembly, a mechanical spring, and mechanical action contacts. The transient pulse drive circuit includes an energy storage capacitor assembly. In response to the driving level, the transient pulse driving circuit causes the energy storage capacitor component to release a pulsed DC current to the reset driving coil of the high-speed magnetic latching relay, thereby generating a transient magnetic field with the opposite polarity to the permanent magnet component to cancel the attraction force, and causing the mechanical action contact to perform a spring-back separation action under the potential energy of the internal mechanical spring.

7. An integrated home intelligent photovoltaic energy storage system according to claim 1, characterized in that, The intelligent main control module divides the entire day's operating cycle into off-peak and peak electricity price ranges by updating the time-of-use electricity price function; When the power price is in the off-peak electricity price range and the state of charge is less than the upper limit threshold of the state of charge preset in the internal memory of the intelligent main control module, a rectification working mode instruction is sent to the bidirectional inverter module. When the peak electricity price range is in effect and the state of charge is greater than the minimum discharge depth threshold preset in the internal memory of the intelligent main control module, an inverter operating mode command is sent to the bidirectional inverter module.

8. An integrated home intelligent photovoltaic energy storage system according to claim 1, characterized in that, It also includes an integrated sealed chassis and a DC speed-controlled fan assembly; The intelligent main control module periodically acquires the extreme temperature inside the integrated sealed body. When it is determined that the extreme temperature inside the integrated sealed body is between the fan start temperature threshold preset in the intelligent main control module and the maximum equipment load operating temperature limit; A pulse duty cycle control level signal is sent to the DC speed-regulating fan assembly to determine the mechanical speed parameter of the DC speed-regulating fan assembly. By changing the mechanical speed parameter, the internal forced convection exchange physical flow rate is directly changed, and stepless speed regulation is performed.

9. An integrated home intelligent photovoltaic energy storage system according to claim 8, characterized in that, The integrated sealed housing contains a physical circuit breaker with a trip coil, and the system also includes a safety protection module. The safety protection module is used to construct an abnormal state monitoring vector that includes four types of abnormal states: short circuit, overload, reverse connection, and high temperature. In response to the overload state, the safety protection module uses an integral time limit function to perform the determination calculation. When the overload energy tolerance limit value preset inside the safety protection module is met, the overload characteristic flag bit is assigned a value. When the sum of the element values ​​of the abnormal state monitoring vector is greater than or equal to the limit value one, the trip coils of all the physical circuit breakers inside the integrated sealed body are triggered, and the device enters a physical locking state.

10. An integrated home intelligent photovoltaic energy storage device, characterized in that, The integrated home smart photovoltaic energy storage system according to any one of claims 1-9 includes: The integrated sealed body has photovoltaic input ports, mains input ports, and load output ports arranged according to physical areas on its external sidewall surface; The bottom panel area of ​​the integrated sealed body is embedded with a honeycomb ventilation plate assembly as the bottom air inlet, and the top panel area is embedded with a honeycomb ventilation plate assembly as the top air outlet, forming an air convection path along the vertical direction of gravity inside the integrated sealed body.

Images