Integrated movable light storage hydrogen energy shelter
The integrated mobile photovoltaic-hydrogen energy container integrates a high-strength frame, flexible photovoltaic modules, multi-energy storage modules, and an intelligent management system, solving the problems of adaptability and energy utilization efficiency of existing mobile energy containers in extreme environments, and achieving efficient and reliable power supply capabilities.
Patent Information
- Application Number
- CN202511660602.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-13
- Publication Date
- 2026-02-10
AI Technical Summary
Existing mobile energy containers are not adaptable to extreme environments, have a single energy structure, lack diversified energy storage media, and have a low level of intelligence, resulting in low power supply reliability and low energy utilization efficiency.
It adopts an integrated mobile photovoltaic-hydrogen energy container, which integrates a high-strength lightweight alloy frame, flexible photovoltaic module array, multi-energy storage module and intelligent energy management system, combined with vacuum insulation technology and temperature control system to achieve multi-energy synergistic optimization and efficient management.
It can operate stably in extreme environments, improve power supply reliability and energy utilization efficiency, and has the ability to be deployed quickly and with high reliability, adapting to complex application scenarios.
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Figure CN121507965A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of new energy, and particularly relates to an integrated mobile light-hydrogen storage energy shelter. BACKGROUND
[0002] In the field of energy supply and emergency guarantee, reliable power supply in remote areas and disaster-prone areas has been a global challenge. The energy demand in these areas is scattered, and the infrastructure is weak. In particular, when natural disasters such as mudslides and typhoons occur, fixed power facilities are easily damaged and difficult to repair, and there is an urgent need for emergency power solutions with high mobility and independent energy supply capability.
[0003] Among them, the mobile energy shelter as a kind of independent energy supply unit that can be quickly deployed, shows important value in emergency power supply, temporary guarantee and other scenes. Such devices aim to integrate power generation, energy storage and energy management functions to provide continuous and stable power output for areas without power grid coverage or power grid interruption.
[0004] The existing mobile energy shelter in the prior art generally has the problems of insufficient environmental adaptability and single energy structure. The traditional shelter does not use advanced vacuum insulation technology, and its temperature resistance range is limited, making it difficult to maintain the working temperature of internal equipment in an extremely wide temperature range of minus 40 to 50 degrees Celsius, resulting in a significant decrease in power supply reliability in harsh environments such as Aba region with minus 20 degrees Celsius. In addition, existing solutions rely on single battery storage, lack the introduction of diversified energy storage media such as hydrogen energy, and cannot achieve long-term and high-density storage of energy, limiting the continuous operation capability of the shelter. At the same time, the existing energy management system has low intelligence, cannot effectively integrate photovoltaic, energy storage and hydrogen energy and other forms of energy, lacks multi-energy collaborative optimization and intelligent scheduling strategy, resulting in low overall energy utilization efficiency, and cannot meet the comprehensive requirements of power supply reliability, environmental adaptability and energy efficient use in complex application scenarios. SUMMARY
[0005] The purpose of the present application is to provide an integrated mobile light-hydrogen storage energy shelter to solve the technical defects of existing mobile energy shelters in terms of extreme environmental adaptability, energy structure diversification and multi-energy collaborative scheduling.
[0006] To achieve the above-mentioned purpose, the technical solutions adopted by the present application are as follows:
[0007] An integrated mobile light-hydrogen storage energy shelter system is provided, comprising:
[0008] A load-carrying and protection module is used to form the physical basis and external barrier of the system, and the load-carrying and protection module comprises a high-strength lightweight alloy framework, a composite armor skin covering the outside of the alloy framework, and a hydraulic leveling leg provided at the bottom of the load-carrying and protection module.
[0009] An energy harvesting module for efficiently capturing solar energy includes a flexible photovoltaic module array deployed on top of the support and protection module. The flexible photovoltaic module array employs an adaptive cleaning mechanism and maximum power point tracking technology.
[0010] A multi-element energy storage module is used to achieve rapid energy throughput, short-term buffering, long-term storage, and high-density storage. The multi-element energy storage module is composed of a lithium-ion battery pack and a hydrogen energy storage subsystem connected in parallel. The hydrogen energy storage subsystem includes a water electrolysis hydrogen production unit, a hydrogen purification and compression unit, and a metal hydride hydrogen storage tank.
[0011] An energy conversion and management system, serving as the intelligent hub of the mobile cabin system, includes a multi-timescale energy dispatch engine. This engine, based on real-time collected power generation, load demand, energy storage status, and external environmental parameters, executes a multi-objective optimization algorithm to dynamically allocate photovoltaic power generation to direct load power supply, battery charging, or water electrolysis for hydrogen production.
[0012] An environmental protection module is used to maintain the stable operating temperature of the equipment inside the cabin within an extreme wide temperature range of -40°C to 50°C. The environmental protection module includes a cabin insulation layer constructed based on a vacuum insulation panel and an integrated temperature control system.
[0013] Preferably, the composite armor skin of the load-bearing and protection module adopts a multi-layer composite structure. The outermost layer of the multi-layer composite structure is a weather-resistant coating, the middle layer is an aramid fiber reinforcement layer, and the inner layer is a vacuum insulation plate. There are four hydraulic leveling outriggers, each equipped with an independent height sensor and pressure controller. The height sensor and pressure controller are used to ensure that the container system can be quickly leveled and parked stably on uneven ground.
[0014] Preferably, the flexible photovoltaic module array of the energy harvesting module adopts a regional independent maximum power point tracking control strategy, and each region is equipped with a dedicated DC optimizer; the adaptive cleaning mechanism consists of a scraper arm driven by a micro motor and a spray system, and the start frequency and cleaning mode of the adaptive cleaning mechanism are dynamically adjusted based on the built-in photovoltaic panel surface dust accumulation model and environmental humidity sensor data.
[0015] Preferably, in the multi-element energy storage module, the lithium-ion battery pack adopts a liquid cooling design, and the battery management system of the lithium-ion battery pack monitors the voltage, temperature and internal resistance of each cell in real time and executes an active balancing strategy; the hydrogen energy storage subsystem's water electrolysis hydrogen production unit adopts proton exchange membrane technology, and the purification and compression unit increases the purity of the generated hydrogen to 99.999% and compresses it to 35 MPa, and then stores it in the metal hydride hydrogen storage tank with a built-in specific alloy material. The metal hydride hydrogen storage tank reduces the hydrogen pressure to below 5 MPa through a pressure reducing device before storage. The metal hydride hydrogen storage tank operates at a pressure below 5 MPa and has intrinsic safety characteristics.
[0016] Preferably, the pressure reducing device is a two-stage pressure reducing valve with an inlet pressure of 35 MPa, an outlet pressure of 5 MPa, and an adjustment accuracy of ±0.1 MPa; the water electrolysis hydrogen production unit uses a perfluorosulfonic acid resin proton exchange membrane with a thickness of 50 micrometers and a room temperature ionic conductivity of not less than 0.1 Siemens per centimeter.
[0017] Preferably, the multi-timescale energy dispatch engine of the energy conversion and management system operates on a hierarchical decision framework, which includes a second-level real-time control layer, a minute-level optimization dispatch layer, and an hour-level strategy planning layer. The second-level real-time control layer is responsible for quickly responding to load changes and power generation fluctuations with a period of 500 milliseconds, and executing rule-based energy routing. The minute-level optimization dispatch layer optimizes the energy allocation plan for the next 15 minutes with a period of 5 minutes, based on model predictive control methods, with the objective function of minimizing system operating costs and maximizing renewable energy absorption rate. The hour-level strategy planning layer formulates a hydrogen production plan and battery charge / discharge depth strategy for the next 24 hours based on historical data and long-term weather forecasts.
[0018] Preferably, the objective function of the minute-level optimized scheduling layer is mathematically expressed as:
[0019]
[0020] in, The cost function of the purchased power grid For battery charging and discharging power, For the power of the electrolytic cell, For photovoltaic power prediction, and The weighting coefficients are used; the optimization variables are calculated using a quadratic programming solver, and the constraints include a battery charge / discharge rate not exceeding 0.5C and a hydrogen storage tank pressure limit of 35 MPa; the hourly strategy planning layer uses a dynamic programming algorithm to discretize the battery state of charge and the remaining capacity of the hydrogen storage tank into 100 state nodes.
[0021] Preferably, the integrated temperature control system of the environmental protection module includes two independently operating refrigeration circuits and one PTC electric heating system; the refrigeration circuits adopt variable frequency compressors and microchannel heat exchangers, and the PTC electric heating system is arranged in sections within the critical equipment compartment; the operating mode and set temperature of the temperature control system are uniformly coordinated and controlled by the energy conversion and management system according to the external ambient temperature and the heat generation of the internal equipment, ensuring that the temperature inside the compartment is maintained within the allowable operating range of 20°C to 30°C under any extreme environment.
[0022] Preferably, the energy conversion and management system also integrates a remote monitoring and fault diagnosis unit; the remote monitoring and fault diagnosis unit uploads the core operating data of the modular system to the cloud monitoring center in real time through a satellite communication module or mobile network, and has a built-in fault diagnosis algorithm based on an expert knowledge base, which can identify and warn of more than 50 common fault modes in the early stage.
[0023] Preferably, the satellite communication module of the remote monitoring and fault diagnosis unit supports BeiDou short message communication, and the mobile network module supports 5G NSA networking; the core operating data includes 128 parameters such as photovoltaic power generation, battery state of charge, hydrogen storage tank pressure, and ambient temperature, which are packaged and uploaded to the cloud monitoring center every 5 minutes; the expert knowledge base contains feature vectors and handling strategies for 52 fault modes.
[0024] Compared with the prior art, the advantages and positive effects of the present invention are as follows:
[0025] 1. By introducing vacuum insulation technology and an integrated temperature control system, this invention constructs an environmental protection system that can operate stably in an extreme wide temperature range of -40°C to 50°C. This significantly improves the deployment capability and equipment reliability of energy container in harsh environments such as plateaus, cold regions, and tropical regions, and solves the core contradiction of insufficient environmental adaptability of traditional container.
[0026] 2. This invention innovatively integrates lithium-ion battery energy storage with hydrogen energy storage, forming a complementary multi-energy storage architecture. Lithium-ion batteries provide high-frequency, short-term power support, while hydrogen energy enables long-term, cross-seasonal energy storage. This combination allows the storage facility to cope with instantaneous load shocks and ensure long-term energy self-sufficiency even during periods of continuous rain or insufficient photovoltaic power generation, completely overcoming the bottleneck of limited endurance in single-battery energy storage modes.
[0027] 3. The energy conversion and management system designed in this invention, especially its multi-timescale energy dispatch engine, achieves deep synergy and intelligent optimization of three energy forms: photovoltaic, battery, and hydrogen energy. Based on real-time data and forecast information, the system can dynamically decide the optimal energy allocation path, maximizing the local absorption rate of renewable energy while smoothing system power fluctuations, thus increasing overall energy utilization efficiency to over 85%, far exceeding the energy management level of traditional modular units.
[0028] 4. The highly integrated and modular design of this invention enables the entire shelter to be deployed quickly and plug-and-play. Its robust load-bearing and protective structure and intelligent remote monitoring capabilities further ensure high reliability and maintainability in complex application scenarios such as emergency disaster relief and remote power supply, providing a new type of technical equipment with excellent comprehensive performance for the social energy security system. Attached Figure Description
[0029] Figure 1 This is a schematic diagram of the integrated mobile photovoltaic hydrogen storage container proposed in this invention.
[0030] Figure 2 This is a schematic diagram of the framework of the multi-timescale energy scheduling engine in this invention. Detailed Implementation
[0031] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0032] Example 1
[0033] The integrated mobile photovoltaic hydrogen storage energy container's load-bearing and protective modules form the physical foundation and external barrier of the entire system. This module uses a high-strength, lightweight alloy frame as its main support structure. The alloy frame has a rectangular hollow tube cross-section, a wall thickness of 3 mm, and is made of aerospace-grade aluminum-lithium alloy. The frame is connected into a single unit using a combination of welding and riveting. The top of the frame has a pre-drilled interface for the energy harvesting module, while the sides and bottom have cable channels and equipment mounting bolt holes. The exterior is covered with a composite armor skin, which is double-fixed to the frame using high-strength adhesive and mechanical fasteners. The composite armor skin has a three-layer composite structure. The outermost layer is a 0.5 mm thick fluorocarbon resin weather-resistant coating, which is resistant to UV aging and salt spray corrosion. The middle layer is a 2 mm thick aramid fiber reinforcement layer, which is formed by impregnating epoxy resin with an orthogonal weaving method and curing it, achieving a tensile strength of 3000 MPa. The inner layer is a 15 mm thick vacuum insulation panel, with fumed silica nanoparticles as the core material and an outer aluminum foil barrier film, resulting in an overall thermal conductivity of less than 0.004 W / m Kelvin. The load-bearing and protection module has four hydraulically leveling outriggers at its bottom. The outrigger housings are made of high-strength cast steel and integrate single-acting hydraulic cylinders and displacement sensors. The displacement sensor of each outrigger monitors the outrigger extension in real time with an accuracy of 0.1 mm. The pressure controller independently adjusts the hydraulic pressure of each outrigger based on displacement data and tilt sensor feedback, enabling automatic leveling of the container on uneven ground with a slope of no more than 5%, with the leveling process taking less than 30 seconds. The front and rear ends of the container are equipped with standardized towing pin holes and container twist lock interfaces. The diameter of the towing pin hole is 50.8 mm, and the twist lock interface meets the certification standards of the International Convention for the Safety of Containers.
[0034] Please refer to the attached document. Figure 1The energy harvesting module mainly consists of a flexible photovoltaic (PV) module array deployed on the top of the cabin. The array comprises 24 flexible copper indium gallium selenide (CIGS) thin-film PV modules, each with a nominal power of 550 watts, resulting in an overall peak power of 13.2 kilowatts. High thermal conductivity silicone pads are attached to the back of the modules, which are then fixed to aluminum alloy rails on the cabin roof via pressure strips. The PV array employs a zoned independent maximum power point tracking (MPPT) control strategy, dividing the 24 modules into four power generation zones, each equipped with a DC optimizer. The DC optimizer has an input voltage range of 30 V to 60 V and a MPPT efficiency of no less than 99.6%. An adaptive cleaning mechanism is installed above the PV array, comprising six sets of micro-DC motor-driven scrapers and a micro-centrifugal pump spray system. The scrapers are made of superhydrophobic coated polycarbonate, with a contact pressure of 2 Newtons between the scraper blades and the PV panel surface. The spray system's water source is a 15-liter clean water tank built into the cabin, and the spray flow rate can be adjusted between 0.1 liters and 0.5 liters per minute via pulse width modulation (PWM) signals. The activation frequency of the cleaning mechanism is dynamically calculated by the built-in dust accumulation model on the surface of the photovoltaic panel. This model takes the correlation coefficient between the ambient light intensity sensor and the output power attenuation rate as input. When the attenuation rate exceeds 5%, a cleaning command is triggered. The cleaning mode selects dry scraping or wet scraping based on the humidity sensor data. When the ambient humidity is below 30%, only the scraper arm is activated. When it is above 30%, the spray system is activated.
[0035] The multi-element energy storage module consists of a lithium-ion battery pack and a hydrogen energy storage subsystem connected in parallel. The lithium-ion battery pack has a rated capacity of 100 kWh, uses lithium iron phosphate cells, and the cells operate at a voltage range of 2.5 V to 3.65 V. The battery pack employs a liquid-cooled heat dissipation design, with an aluminum microchannel structure cooling plate and a 5% decaethylene glycol aqueous solution as the coolant. The flow rate is adjusted by an electronic water pump based on the highest temperature of the cells, with a temperature control target of 25℃ ±5℃. The battery management system monitors the voltage, temperature, and internal resistance of each cell in real time at a sampling frequency of 10 Hz. The active balancing strategy uses a flying capacitor method with a balancing current of 2 A, initiating balancing when the voltage difference between cells exceeds 50 mV. The hydrogen energy storage subsystem includes a water electrolysis hydrogen production unit, a hydrogen purification and compression unit, and a metal hydride hydrogen storage tank. The water electrolysis hydrogen production unit employs proton exchange membrane technology, with a rated hydrogen production capacity of 1 standard cubic meter per hour and an electrolysis efficiency of 75%. Specifically, it uses a perfluorosulfonic acid resin proton exchange membrane with a thickness of 50 μm and an ionic conductivity ≥0.1 S / cm at room temperature. The purification and compression unit uses a palladium membrane purifier to increase the hydrogen purity to 99.999%, followed by compression to 35 MPa by a two-stage reciprocating compressor. The metal hydride hydrogen storage tank operates at 3 MPa, is filled with AB5 type hydrogen storage alloy, has a hydrogen mass density of 1.8 wt%, and a total hydrogen storage capacity of 10 kg. The outer wall of the storage tank is wrapped with copper heat exchange fins, which are coupled to the internal temperature control system via thermal management piping.
[0036] The energy conversion and management system, serving as the intelligent hub of the mobile medical facility, is centered around a multi-timescale energy scheduling engine. Please refer to the attached document. Figure 2 The engine operates on a hierarchical decision-making framework, comprising a second-level real-time control layer, a minute-level optimization scheduling layer, and an hourly strategy planning layer. The second-level real-time control layer executes rule-based energy routing every 500 milliseconds. The rule base contains 128 state-action mapping relationships; for example, when a sudden change in load power exceeds 10 kilowatts, non-critical loads are immediately disconnected and battery compensation is initiated. The minute-level optimization scheduling layer executes a model predictive control algorithm on a rolling basis every 5 minutes, with an optimization window of the next 15 minutes. The objective function of this layer is to minimize system operating costs and maximize renewable energy absorption rate, mathematically expressed as:
[0037]
[0038] in, The cost function of the purchased power grid For battery charging and discharging power, For the power of the electrolytic cell, For photovoltaic power prediction, and The weighting coefficients are used. Optimization variables are calculated using a quadratic programming solver, with constraints including a battery charge / discharge rate not exceeding 0.5C and a hydrogen storage tank pressure limit of 35 MPa. The hourly strategy planning layer, with a 60-minute cycle, formulates a hydrogen production plan and battery charge / discharge depth strategy for the next 24 hours based on historical power generation data and the 72-hour grid weather forecast issued by the Central Meteorological Observatory. The strategy planning employs a dynamic programming algorithm, discretizing the battery state of charge and the remaining capacity of the hydrogen storage tank into 100 state nodes to solve for the optimal decision sequence under the longest sustainable power supply cycle.
[0039] The environmental protection module is responsible for maintaining the stable operation of the equipment inside the cabin within an extreme wide temperature range of -40°C to 50°C. The cabin insulation layer is composed of continuously laid vacuum insulation panels, with the gaps between the panels sealed with polyurethane foam. The integrated temperature control system includes two independently operating refrigeration circuits and one PTC electric heating system. The refrigeration circuits use variable frequency scroll compressors with R410A refrigerant, each with a refrigeration capacity of 12 kW; microchannel heat exchangers are distributed on the side walls of the cabin, and the fan airflow can be adjusted between 200 cubic meters per hour and 800 cubic meters per hour via stepless speed regulation. The PTC electric heating system has a total power of 15 kW and is arranged in three zones: the battery compartment, the power electronics compartment, and the hydrogen storage compartment, with temperature sensors in each zone having an accuracy of 0.5°C. The operating mode of the temperature control system is uniformly coordinated by the energy conversion and management system. When the external ambient temperature is below 5°C, the electric heating is activated; when it is above 30°C, the refrigeration circuit is activated. The set temperature is dynamically adjusted according to the allowable operating range of the equipment, with a target range of 20°C to 30°C. It should be noted that the extreme wide temperature range refers to the external ambient temperature range of the container, while the internal equipment operating temperature is 20-30℃.
[0040] The energy conversion and management system also integrates a remote monitoring and fault diagnosis unit. This unit transmits data via a dual-link system using a built-in satellite communication module and a mobile network module. The satellite module supports BeiDou short message communication, and the mobile module supports 5G NSA networking. Core operational data includes 128 parameters such as photovoltaic power generation, battery state of charge, hydrogen storage tank pressure, and ambient temperature, which are packaged and uploaded to the cloud monitoring center every 5 minutes. The fault diagnosis algorithm is built on an expert knowledge base containing feature vectors and handling strategies for 52 fault modes. For example, when the electrolyzer efficiency is detected to be below 70% for two consecutive hours, a "catalyst poisoning" warning is triggered, and a regeneration procedure is recommended. Diagnostic results are simultaneously pushed to the maintenance personnel's terminals via LED displays and wireless alarms.
[0041] Example 2
[0042] Building upon Example 1, this example optimizes the energy harvesting module and hydrogen storage subsystem for high-altitude, low-pressure environments. The flexible photovoltaic module array employs an enhanced encapsulation process, and a PTFE waterproof and breathable membrane is added to the ventilation holes on the module backsheet to prevent pressure differential accumulation caused by altitude changes. The operating voltage limit of the DC optimizer is increased to 80 volts to compensate for the derating effect of the switching transistors under low pressure. An air intake booster module is added to the water electrolysis hydrogen production unit, using a Roots blower to stabilize the air pressure at 1.2 atmospheres, ensuring a constant pressure difference across the proton exchange membrane. The purification and compression unit adopts an interstage cooling design, adding an aluminum intercooler after the first stage compression to control the gas temperature below 80°C, preventing a decrease in palladium membrane permeability due to high temperatures. The alloy material of the metal hydride hydrogen storage tank is replaced with a high-altitude-adaptive LmNi4.9Al0.1 alloy, which achieves 90% hydrogen storage capacity release at 60 kPa partial pressure, a 15% improvement over the standard alloy.
[0043] The multi-timescale energy scheduling engine of the energy conversion and management system incorporates an altitude adaptation compensation algorithm. The second-level real-time control layer integrates barometric pressure sensor data, automatically adjusting the maximum battery discharge rate from 0.5C to 0.4C when the altitude exceeds 3000 meters. The objective function of the minute-level optimization scheduling layer adds an altitude penalty term, mathematically expressed as:
[0044]
[0045] in, This is the difference between the altitude and the baseline value. The altitude influence coefficient, determined to be 0.002 per meter through historical data fitting, is used in the hourly strategy planning layer, which incorporates altitude factors into the weather model and uses high-resolution topographic data from the European Centre for Medium-Range Weather Forecasts to correct solar irradiance predictions. The remote monitoring unit adds altitude sickness prevention and monitoring functions, collecting real-time oxygen concentration data around the cabin, and triggering an audible and visual alarm when the concentration falls below 19.5%.
[0046] The integrated temperature control system of the environmental protection module enhances heat dissipation. The surface area of the microchannel heat exchanger has been increased by 20%, and the maximum airflow of the fan has been increased to 1000 cubic meters per hour. A sand-proof filter with a mesh size of 300 has been added to the condenser side of the refrigeration circuit to capture particles larger than 5 micrometers. The PTC electric heating system in the battery compartment area has been upgraded to 8 kilowatts to ensure that the battery cells can still be activated normally in an environment of -40°C. The vacuum insulation panel of the compartment has been reinforced with double-layer sealing strips at the seams, and the leakage rate in the airtightness test is less than 0.05 Pa·L / s. All external interfaces use military-grade connectors with an IP68 protection rating, capable of withstanding rainfall of 100 mm per hour and strong winds of 50 m / s.
[0047] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.
Claims
1. An integrated mobile photovoltaic hydrogen storage container system, characterized in that, include: The load-bearing and protection module is used to form the physical foundation and external barrier of the system. The load-bearing and protection module includes a high-strength lightweight alloy skeleton, a composite armor skin covering the outside of the alloy skeleton, and hydraulic leveling outriggers set at the bottom of the load-bearing and protection module. An energy harvesting module for efficiently capturing solar energy includes a flexible photovoltaic module array deployed on top of the support and protection module. The flexible photovoltaic module array employs an adaptive cleaning mechanism and maximum power point tracking technology. A multi-element energy storage module is used to achieve rapid energy throughput, short-term buffering, long-term storage, and high-density storage. The multi-element energy storage module is composed of a lithium-ion battery pack and a hydrogen energy storage subsystem connected in parallel. The hydrogen energy storage subsystem includes a water electrolysis hydrogen production unit, a hydrogen purification and compression unit, and a metal hydride hydrogen storage tank. An energy conversion and management system, serving as the intelligent hub of the mobile cabin system, includes a multi-timescale energy dispatch engine. This engine, based on real-time collected power generation, load demand, energy storage status, and external environmental parameters, executes a multi-objective optimization algorithm to dynamically allocate photovoltaic power generation to direct load power supply, battery charging, or water electrolysis for hydrogen production. An environmental protection module is used to maintain the stable operating temperature of the equipment inside the cabin within an extreme wide temperature range of -40°C to 50°C. The environmental protection module includes a cabin insulation layer constructed based on a vacuum insulation panel and an integrated temperature control system.
2. The integrated mobile photovoltaic hydrogen storage container system according to claim 1, characterized in that, The composite armor skin of the load-bearing and protection module adopts a multi-layer composite structure. The outermost layer of the multi-layer composite structure is a weather-resistant coating, the middle layer is an aramid fiber reinforcement layer, and the inner layer is a vacuum heat insulation plate. There are four hydraulic leveling outriggers, each equipped with an independent height sensor and pressure controller. The height sensor and pressure controller are used to ensure that the container system can be quickly leveled and parked stably on uneven ground.
3. The integrated mobile photovoltaic hydrogen storage container system according to claim 1, characterized in that, The flexible photovoltaic module array of the energy harvesting module adopts a regional independent maximum power point tracking control strategy, and each region is equipped with a dedicated DC optimizer; the adaptive cleaning mechanism consists of a scraper arm driven by a micro motor and a spray system, and the start frequency and cleaning mode of the adaptive cleaning mechanism are dynamically adjusted based on the built-in photovoltaic panel surface dust accumulation model and environmental humidity sensor data.
4. The integrated mobile photovoltaic hydrogen storage container system according to claim 1, characterized in that, In the multi-element energy storage module, the lithium-ion battery pack adopts a liquid cooling design. The battery management system of the lithium-ion battery pack monitors the voltage, temperature, and internal resistance of each cell in real time and executes an active balancing strategy. The hydrogen energy storage subsystem's water electrolysis hydrogen production unit adopts proton exchange membrane technology. The purification and compression unit increases the purity of the generated hydrogen to 99.999% and compresses it to 35 MPa. It is then stored in the metal hydride hydrogen storage tank with a built-in specific alloy material. The metal hydride hydrogen storage tank reduces the hydrogen pressure to below 5 MPa through a pressure reduction device before storage. The metal hydride hydrogen storage tank operates at a pressure below 5 MPa and has intrinsic safety characteristics.
5. The integrated mobile photovoltaic hydrogen storage container system according to claim 4, characterized in that, The pressure reducing device is a two-stage pressure reducing valve with an inlet pressure of 35 MPa, an outlet pressure of 5 MPa, and an adjustment accuracy of ±0.1 MPa. The water electrolysis hydrogen production unit uses a perfluorosulfonic acid resin proton exchange membrane with a thickness of 50 micrometers and a room temperature ionic conductivity of not less than 0.1 Siemens per centimeter.
6. The integrated mobile photovoltaic hydrogen storage container system according to claim 1, characterized in that, The multi-timescale energy dispatch engine of the energy conversion and management system runs on a hierarchical decision framework, which includes a second-level real-time control layer, a minute-level optimization scheduling layer, and an hour-level strategy planning layer. The second-level real-time control layer is responsible for quickly responding to load changes and power generation fluctuations with a period of 500 milliseconds and executing rule-based energy routing. The minute-level optimization scheduling layer uses a 5-minute cycle and a model predictive control method to continuously optimize the energy allocation plan for the next 15 minutes. The objective function is to minimize the system operating cost and maximize the renewable energy absorption rate. The hour-level strategy planning layer formulates a hydrogen production plan and battery charge and discharge depth strategy for the next 24 hours based on historical data and long-term weather forecasts.
7. The integrated mobile photovoltaic hydrogen storage container system according to claim 6, characterized in that, The objective function of the minute-level optimized scheduling layer is mathematically expressed as follows: in, The cost function of the purchased power grid For battery charging and discharging power, For the power of the electrolytic cell, For photovoltaic power prediction, and The weighting coefficients are used; the optimization variables are calculated using a quadratic programming solver, and the constraints include a battery charge / discharge rate not exceeding 0.5C and a hydrogen storage tank pressure limit of 35 MPa; the hourly strategy planning layer uses a dynamic programming algorithm to discretize the battery state of charge and the remaining capacity of the hydrogen storage tank into 100 state nodes.
8. The integrated mobile photovoltaic hydrogen storage container system according to claim 1, characterized in that, The integrated temperature control system of the environmental protection module includes two independently operating refrigeration circuits and one PTC electric heating system. The refrigeration circuits use variable frequency compressors and microchannel heat exchangers, and the PTC electric heating system is arranged in sections within the critical equipment compartment. The operating mode and set temperature of the temperature control system are uniformly coordinated and controlled by the energy conversion and management system based on the external ambient temperature and the heat generation of the internal equipment, ensuring that the temperature inside the compartment is maintained within the allowable operating range of 20°C to 30°C under any extreme environment.
9. The integrated mobile photovoltaic hydrogen storage container system according to claim 1, characterized in that, The energy conversion and management system also integrates a remote monitoring and fault diagnosis unit. The remote monitoring and fault diagnosis unit uploads the core operating data of the modular system to the cloud monitoring center in real time through a satellite communication module or mobile network, and has a built-in fault diagnosis algorithm based on an expert knowledge base, which can identify and warn of more than 50 common fault modes in the early stage.
10. The integrated mobile photovoltaic hydrogen storage container system according to claim 9, characterized in that, The satellite communication module of the remote monitoring and fault diagnosis unit supports BeiDou short message communication, and the mobile network module supports 5G NSA networking; the core operation data includes 128 parameters, which are packaged and uploaded to the cloud monitoring center every 5 minutes; the expert knowledge base contains feature vectors and handling strategies for 52 fault modes.