Wind-solar complementary intelligent charging system and thermal management optimization

Abstract

The invention discloses a wind-solar complementary intelligent charging system and heat management optimization. The system comprises a wind power generation unit, a photovoltaic power generation unit, an energy storage unit, an intelligent control unit and a heat management unit, the wind power generation unit adopts an efficient wind generating set, is provided with an intelligent control system, and can automatically adjust a pitch angle and a yaw angle according to real-time wind speed and wind direction; the photovoltaic power generation unit selects a high-efficiency photovoltaic cell assembly and tracks the position of the sun in real time in combination with an intelligent light following system; and the energy storage unit adopts a high-performance energy storage battery pack and a battery management system. Through accurate prediction and analysis of local wind and light resources, dynamic configuration and cooperative power generation of the wind power generation unit and the photovoltaic power generation unit are realized. Compared with a traditional fixed configuration mode, local wind and light resources can be fully utilized, and the power generation efficiency is improved. Meanwhile, the multi-energy complementary cooperative power generation technology is adopted, organic combination of wind and light power generation and energy storage is achieved, and stable power supply of the system is ensured.

Description

Technical Field

[0001] The present invention relates to the field of new energy power generation and energy storage technology, and in particular to a wind-solar hybrid intelligent charging system and thermal management optimization. Background Art

[0002] Against the backdrop of global energy transformation, wind-solar hybrid power generation systems, leveraging the complementary nature of wind and solar energy in terms of time and resources, have become a key approach to addressing sustainable energy development. Currently, many remote areas and islands, far from traditional power grids, rely on wind-solar hybrid power generation systems to provide local electricity. However, these systems still face numerous challenges in practical application.

[0003] When designing existing wind-solar complementary power generation systems, insufficient consideration was given to the temporal and spatial distribution characteristics of local wind and solar energy resources. This resulted in an irrational configuration ratio for wind power generation equipment and photovoltaic power generation equipment, making it impossible to fully utilize local wind and solar resources and reducing overall power generation efficiency. The intermittent and volatile nature of wind and solar energy is significantly affected by meteorological conditions. In severe weather conditions such as heavy rain, dust storms, and heavy fog, the mechanical components of wind power generation equipment are easily damaged, and the light reception rate of photovoltaic power generation equipment is significantly reduced, making the output power of the power generation system unstable and difficult to meet the demand for stable power supply. Energy storage batteries undergo frequent charge and discharge cycles, especially when wind and solar power generation is unstable. Overcharging and over-discharging of batteries are more common, which accelerates battery aging and damage, shortens the battery life, and increases the operating cost of the system.

[0004] The relatively simple control strategies of existing wind-solar hybrid power generation systems have severely hampered their large-scale promotion and application. Low power generation efficiency leads to energy waste and increased costs, reducing the economic benefits of the system. Therefore, this proposal proposes a wind-solar hybrid intelligent charging system and thermal management optimization scheme. Summary of the Invention

[0005] The present invention aims to address at least one of the technical problems existing in the prior art by providing a wind-solar hybrid intelligent charging system and thermal management optimization. By accurately predicting and analyzing local wind and solar resources, it enables dynamic configuration and coordinated power generation of wind and photovoltaic power generation units. Compared with traditional fixed configuration methods, this system can more fully utilize local wind and solar resources and improve power generation efficiency. Furthermore, the use of multi-energy complementary and coordinated power generation technology achieves an organic combination of wind and solar power generation and energy storage, ensuring a stable power supply for the system.

[0006] Based on the real-time status of the battery and load requirements, the charging and discharging parameters are dynamically adjusted to achieve balanced battery management. This intelligent control method effectively reduces overcharge and overdischarge of the battery, extends the battery life, and improves the reliability and economy of the energy storage system.

[0007] The use of a hybrid heat dissipation technology combining liquid and air cooling and an intelligent temperature control strategy enables precise control of battery temperature under varying ambient temperatures and battery operating conditions. Furthermore, the application of heat recovery technology improves energy efficiency and reduces energy waste.

[0008] The intelligent control unit utilizes advanced artificial intelligence algorithms and big data analysis technologies to conduct real-time monitoring and intelligent analysis of wind and solar resources, load demand, and energy storage status. By learning and analyzing extensive historical data, it accurately predicts wind and solar power generation and load demand, dynamically adjusts power generation and energy storage strategies, and optimizes system operation.

[0009] The present invention also provides the above-mentioned wind-solar hybrid intelligent charging system and thermal management optimization, comprising: a wind power generation unit, a photovoltaic power generation unit, an energy storage unit, an intelligent control unit and a thermal management unit;

[0010] The wind power generation unit adopts a high-efficiency wind turbine generator set and is equipped with an intelligent control system that can automatically adjust the pitch angle and yaw angle according to the real-time wind speed and direction;

[0011] The photovoltaic power generation unit uses high-efficiency photovoltaic cell components and is combined with an intelligent light tracking system to track the sun's position in real time;

[0012] The energy storage unit uses a high-performance energy storage battery pack and a battery management system to achieve battery charge and discharge control, balance management and fault diagnosis;

[0013] The intelligent control unit uses artificial intelligence algorithms and big data analysis technology to collect and analyze the operating data of each unit in real time and dynamically adjust the power generation and energy storage strategies;

[0014] The thermal management unit adopts a composite heat dissipation technology combining liquid cooling and air cooling, and is equipped with an intelligent temperature sensor and control system to achieve temperature control of the energy storage unit.

[0015] According to the wind-solar complementary intelligent charging system provided by the present invention, the intelligent control unit adopts wind-solar resource precise matching technology to dynamically adjust the configuration ratio and operating parameters of the wind power generation unit and the photovoltaic power generation unit according to local meteorological data and real-time monitoring information.

[0016] According to the wind-solar complementary intelligent charging system provided by the present invention, the intelligent control unit adopts weather adaptive power generation control technology to automatically adjust the operation strategies of the wind power generation unit and the photovoltaic power generation unit according to real-time changes in weather conditions.

[0017] According to the wind-solar complementary intelligent charging system provided by the present invention, the intelligent control unit adopts multi-energy complementary collaborative power generation technology to achieve collaborative power generation between the wind power generation unit, photovoltaic power generation unit and energy storage unit, ensuring stable power supply of the system.

[0018] According to the wind-solar hybrid intelligent charging system provided by the present invention, the battery management system of the energy storage unit adopts an adaptive charge and discharge control strategy to dynamically adjust the charge and discharge parameters according to the real-time status of the battery and load requirements.

[0019] According to the wind-solar hybrid intelligent charging system provided by the present invention, the battery management system of the energy storage unit adopts battery balancing management technology to monitor the voltage and SOC differences of each single battery in the battery pack in real time and perform balancing adjustment.

[0020] According to the wind-solar hybrid intelligent charging system provided by the present invention, the intelligent temperature control system of the thermal management unit adopts a fuzzy control algorithm to adjust the heat dissipation strategy in advance according to the battery temperature change trend and historical data.

[0021] According to the wind-solar hybrid intelligent charging system provided by the present invention, the thermal management unit adopts heat recovery technology to recover the heat generated by the battery through a heat exchanger for heating other equipment or providing it to surrounding users.

[0022] The wind-solar hybrid thermal management optimization provided by the present invention includes the following steps:

[0023] S1. Real-time monitoring of temperature changes of energy storage units;

[0024] S2. Based on the monitored temperature and ambient temperature, a composite heat dissipation technology combining liquid cooling and air cooling is used for heat dissipation;

[0025] S3. Utilize intelligent temperature control system and fuzzy control algorithm to automatically adjust coolant flow and fan speed to achieve precise control of battery temperature.

[0026] S4. Recover the heat generated by the battery and utilize it in a cascade manner.

[0027] According to the wind-solar hybrid thermal management optimization provided by the present invention, the intelligent control unit collects the operating data of the wind power generation unit, photovoltaic power generation unit, energy storage unit and load in real time; uses big data analysis and artificial intelligence algorithms to predict and analyze wind and solar resources;

[0028] Based on the forecast results and load demand, the operating parameters of the wind power generation unit and the photovoltaic power generation unit are dynamically adjusted to achieve accurate matching and efficient utilization of wind and solar resources. Adaptive charge and discharge control strategies and battery balancing management technologies are used to control and manage the energy storage unit; coordinated power generation among the wind power generation unit, photovoltaic power generation unit and energy storage unit is achieved to ensure stable power supply to the system.

[0029] Compared to existing technologies, the wind-solar hybrid intelligent charging system and thermal management optimization of this invention achieves dynamic configuration and coordinated power generation of wind and photovoltaic power generation units through precise prediction and analysis of local wind and solar resources. Compared with traditional fixed configuration methods, this system can more fully utilize local wind and solar resources and improve power generation efficiency. Furthermore, the use of multi-energy complementary and coordinated power generation technology achieves an organic combination of wind and solar power generation and energy storage, ensuring a stable power supply for the system.

[0030] Compared to existing technologies, the wind-solar hybrid intelligent charging system and thermal management optimization of this invention dynamically adjusts charging and discharging parameters based on the real-time battery status and load requirements, achieving balanced battery management. This intelligent control approach effectively reduces battery overcharge and overdischarge, extends battery life, and improves the reliability and cost-effectiveness of the energy storage system.

[0031] Compared with existing technologies, the wind-solar hybrid intelligent charging system and thermal management optimization of the present invention utilizes a composite heat dissipation technology combining liquid and air cooling and an intelligent temperature control strategy, enabling precise control of battery temperature under varying ambient temperatures and battery operating conditions. Furthermore, the application of heat recovery technology improves energy efficiency and reduces energy waste. Through real-time monitoring and intelligent analysis of wind and solar resources, load demand, and energy storage status, and by studying and analyzing large amounts of historical data, it is possible to accurately predict wind and solar power generation and load demand, dynamically adjust power generation and energy storage strategies, and achieve optimized system operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The present invention will be further described below with reference to the accompanying drawings and embodiments;

[0033] Figure 1 This is the overall architecture diagram of the wind-solar hybrid intelligent charging system and thermal management optimization of the present invention;

[0034] Figure 2 This is a flow chart of the wind-solar hybrid thermal management optimization of the present invention.

[0035] Legend:

[0036] 1. Wind power generation unit; 2. Photovoltaic power generation unit; 3. Energy storage unit; 4. Intelligent control unit; 5. Thermal management unit. DETAILED DESCRIPTION

[0037] This section will describe in detail the specific embodiments of the present invention. The preferred embodiments of the present invention are shown in the accompanying drawings. The purpose of the accompanying drawings is to supplement the description of the text part of the specification with graphics, so that people can intuitively and vividly understand each technical feature and the overall technical solution of the present invention, but it should not be understood as a limitation on the scope of protection of the present invention.

[0038] Reference Figure 1、 2 The wind-solar complementary intelligent charging system and thermal management optimization of the embodiment of the present invention include: a wind power generation unit 1, a photovoltaic power generation unit 2, an energy storage unit 3, an intelligent control unit 4 and a thermal management unit 5.

[0039] Wind turbine unit 1: Utilizes a high-efficiency wind turbine generator system equipped with an intelligent control system. This intelligent control system collects real-time wind speed and direction data and automatically adjusts the pitch and yaw angles using a built-in algorithm to ensure the turbine is always optimally positioned for wind energy capture. When wind speeds exceed the rated value, the system automatically increases the pitch angle to reduce wind energy capture and protect the turbine's mechanical structure. When wind direction changes, the yaw system steers the turbine to ensure the rotors face the incoming wind.

[0040] Photovoltaic Power Generation Unit 2: High-efficiency photovoltaic modules are integrated with an intelligent tracking system. This system uses photosensors to monitor the sun's position in real time, driving a mechanical structure to adjust the photovoltaic module's angle to maintain a constant perpendicular orientation to the sun's rays. Furthermore, a self-cleaning coating is applied to the photovoltaic module surface to reduce the impact of obstructions such as dust and bird droppings on power generation efficiency.

[0041] Energy Storage Unit 3: Utilizes a lithium iron phosphate battery pack and a battery management system (BMS). The BMS monitors battery voltage, current, temperature, state of charge (SOC), and other parameters in real time, enabling charge and discharge control, balancing management, and fault diagnosis. When the BMS detects a voltage difference between individual cells exceeding a set threshold, it activates the balancing circuit, balancing the charge across the individual cells through resistance dissipation or energy transfer.

[0042] Intelligent Control Unit 4: Integrates artificial intelligence algorithms and big data analysis modules to collect real-time operating data from wind turbines, photovoltaic power generation units, energy storage units, and loads through a sensor network. Using machine learning algorithms, it analyzes historical meteorological data (including wind speed, light intensity, and temperature) as well as real-time data to predict future wind and solar power generation and load demand, dynamically adjusting the operating parameters of each unit.

[0043] Thermal Management Unit 5: Utilizing a hybrid cooling technology combining liquid and air cooling, it features an intelligent temperature sensor and control system. The liquid cooling system absorbs heat generated by the battery pack through circulating coolant, while the air cooling system accelerates air flow through fans to enhance heat dissipation. The intelligent temperature control system automatically adjusts coolant flow and fan speed based on battery and ambient temperatures, ensuring the battery operating temperature remains within the optimal range of 25°C to 35°C.

[0044] Working principle:

[0045] The intelligent control unit 4 uses sensors deployed in each unit, including wind speed sensors, light sensors, temperature sensors, and current sensors, to collect real-time data, including the output power of the wind power unit, the voltage and current of the photovoltaic power unit, the battery status of the energy storage unit, and the power demand of the load. After preprocessing, the collected data is input into the big data analysis module for storage and analysis.

[0046] Using historical meteorological data and real-time monitoring information, the intelligent control unit 4 uses artificial intelligence algorithms to predict wind speed and sunlight intensity trends for the next 24 hours. Based on these predictions, it dynamically adjusts the wind turbine pitch angle and photovoltaic unit tracking angle to optimize their output power ratio. During sunny daytime hours, photovoltaic power generation is prioritized, while the wind turbine operates at full capacity during periods of high wind speeds. At night or on rainy days, the wind turbine's operating parameters are adjusted based on the remaining energy storage unit's charge and load demand to ensure a stable power supply.

[0047] The battery management system (BMS) monitors the status of the energy storage battery pack in real time. When it detects that the battery SOC falls below a set threshold and the wind and solar power generation exceeds the load demand, it initiates the charging process, dynamically adjusting the charging current based on battery temperature and health, such as using a constant current and constant voltage segmented charging method. If the load demand exceeds the wind and solar power generation, the BMS controls the battery pack's discharge while preventing overdischarge, setting a discharge cutoff voltage of 2.5V per cell. The BMS also regularly performs balancing maintenance on the battery pack to ensure consistent performance across individual cells and extend the battery pack's lifespan.

[0048] Intelligent temperature sensors monitor the battery pack's temperature distribution in real time. When the temperature in a certain area exceeds 35°C, the thermal management unit 5 automatically activates the liquid cooling system, increases the coolant flow, and simultaneously activates the air cooling system to improve heat dissipation efficiency. When the temperature drops below 25°C, the liquid cooling system's heating function is activated and the air cooling system is adjusted to a low speed to maintain the battery pack temperature within the optimal range. The heat recovery module transfers heat absorbed by the liquid cooling system to surrounding heat-consuming equipment through a heat exchanger, improving energy efficiency.

[0049] Intelligent control unit 4 coordinates the operation of the wind power generation unit, photovoltaic power generation unit, and energy storage unit to achieve multi-energy complementarity. When wind and solar power generation exceeds load demand, excess energy is stored in the energy storage unit; when wind and solar power generation is insufficient, the energy storage unit releases energy to supplement the power supply. The system also supports connection to the external power grid, purchasing electricity from the grid when wind and solar power resources are extremely scarce and selling electricity to the grid when there is excess power generation, thereby improving the system's power supply reliability and cost-effectiveness.

[0050] Example:

[0051] Assume that the annual average wind speed in a region is 6m / s, the annual sunshine hours are 2000 hours, and the main load is the electricity consumption of residents and equipment in this region.

[0052] Equipment configuration: Two 50kW wind turbines equipped with variable pitch and yaw control systems, 500 500Wp photovoltaic panels, dual-axis tracking brackets, one 100kWh lithium iron phosphate battery pack with BMS, and a matching liquid cooling and air cooling composite thermal management system.

[0053] Intelligent Control: The intelligent control unit obtains real-time wind speed and sunlight data from the island's weather station and predicts power generation for the next 12 hours. During the day, when sunlight is sufficient, the photovoltaic panels can generate up to 200kW of power, meeting the current load, with the remaining energy stored in the battery bank. At night, when wind speeds increase, the wind turbine starts up and works in conjunction with the battery bank to provide power.

[0054] Thermal management effect: In the summer, when the ambient temperature is as high as 35°C, the thermal management system automatically starts the liquid cooling cycle and high-speed air cooling to control the battery pack temperature at around 32°C; in the winter, when the ambient temperature is as low as 10°C, the liquid cooling and heating function is started to maintain the battery temperature at 28°C, ensuring stable battery charging and discharging efficiency.

[0055] The embodiments of the present invention are described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Various changes can be made within the scope of knowledge possessed by ordinary technicians in the technical field without departing from the scope of the present invention.

Claims

1. The wind-solar hybrid intelligent charging system is characterized by: include: Wind power generation unit (1), photovoltaic power generation unit (2), energy storage unit (3), intelligent control unit (4) and thermal management unit (5); The wind power generation unit (1) adopts a high-efficiency wind turbine generator set and is equipped with an intelligent control system, which can automatically adjust the pitch angle and yaw angle according to the real-time wind speed and wind direction; The photovoltaic power generation unit (2) uses a high-efficiency photovoltaic cell assembly and is combined with an intelligent light tracking system to track the position of the sun in real time; The energy storage unit (3) uses a high-performance energy storage battery pack and a battery management system to achieve battery charge and discharge control, balance management and fault diagnosis; The intelligent control unit (4) uses artificial intelligence algorithms and big data analysis technology to collect and analyze the operating data of each unit in real time and dynamically adjust the power generation and energy storage strategies; The thermal management unit (5) adopts a composite heat dissipation technology combining liquid cooling and air cooling, and is equipped with an intelligent temperature sensor and a control system to achieve temperature control of the energy storage unit (3).

2. The wind-solar hybrid intelligent charging system according to claim 1, characterized in that: The intelligent control unit (4) adopts wind and solar resource precise matching technology to dynamically adjust the configuration ratio and operating parameters of the wind power generation unit (1) and the photovoltaic power generation unit (2) according to local meteorological data and real-time monitoring information.

3. The wind-solar hybrid intelligent charging system according to claim 1, characterized in that: The intelligent control unit (4) adopts a meteorological adaptive power generation control technology to automatically adjust the operation strategies of the wind power generation unit (1) and the photovoltaic power generation unit (2) according to changes in real-time meteorological conditions.

4. The wind-solar hybrid intelligent charging system according to claim 1, characterized in that: The intelligent control unit (4) adopts multi-energy complementary collaborative power generation technology to achieve collaborative power generation between the wind power generation unit (1), the photovoltaic power generation unit (2) and the energy storage unit (3), thereby ensuring stable power supply to the system.

5. The wind-solar hybrid intelligent charging system according to claim 1, characterized in that: The battery management system of the energy storage unit (3) adopts an adaptive charge and discharge control strategy, and dynamically adjusts the charge and discharge parameters according to the real-time status of the battery and load requirements.

6. The wind-solar hybrid intelligent charging system according to claim 1, characterized in that: The battery management system of the energy storage unit (3) adopts a battery balancing management technology to monitor the voltage and SOC differences of each single cell in the battery pack in real time and perform balancing adjustments.

7. The wind-solar hybrid intelligent charging system according to claim 1, characterized in that: The intelligent temperature control system of the thermal management unit (5) adopts a fuzzy control algorithm to adjust the heat dissipation strategy in advance according to the battery temperature change trend and historical data.

8. The wind-solar hybrid intelligent charging system according to claim 1, characterized in that: The thermal management unit (5) adopts heat recovery technology to recover the heat generated by the battery through a heat exchanger, and uses it to heat other equipment or provide it to surrounding users.

9. Wind-solar hybrid thermal management optimization, using the wind-solar hybrid intelligent charging system according to any one of claims 1 to 8, characterized in that: The following steps are involved: S1. Real-time monitoring of temperature changes of energy storage units; S2. Based on the monitored temperature and ambient temperature, a composite heat dissipation technology combining liquid cooling and air cooling is used for heat dissipation; S3. Utilize intelligent temperature control system and fuzzy control algorithm to automatically adjust coolant flow and fan speed to achieve precise control of battery temperature. S4. Recover the heat generated by the battery and utilize it in a cascade manner.

10. The wind-solar hybrid thermal management optimization according to claim 9, characterized in that: The intelligent control unit (4) collects operating data of the wind power generation unit (1), the photovoltaic power generation unit (2), the energy storage unit (3) and the load in real time; and uses big data analysis and artificial intelligence algorithms to predict and analyze wind and solar resources; According to the prediction results and load demand, the operating parameters of the wind power generation unit (1) and the photovoltaic power generation unit (2) are dynamically adjusted to achieve accurate matching and efficient utilization of wind and solar resources. The energy storage unit (3) is controlled and managed by adopting an adaptive charge and discharge control strategy and battery balancing management technology; the coordinated power generation between the wind power generation unit (1), the photovoltaic power generation unit (2) and the energy storage unit (3) is achieved to ensure stable power supply of the system.

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