Vehicle-mounted photovoltaic system capable of being applied to multiple scenes

Abstract

The invention relates to the technical field of photovoltaic application, in particular to a vehicle-mounted photovoltaic system capable of being applied in multiple scenes, which comprises a photovoltaic energy acquisition module, an energy distribution control module, a driving and parking power supply module, an environment adaptation adjustment module and a storage battery energy supplement module. According to the invention, through the real-time analysis of the photovoltaic power generation power, the environment illumination intensity and the battery temperature, the scheme optimizes the electric energy flow direction and the energy storage charging and discharging regulation and control, improves the energy storage efficiency and the power supply accuracy, dynamically adjusts the photovoltaic energy supply path, adjusts the power supply strategy in the vehicle operation state, and adaptively regulates and controls the geographical environment. The power generation efficiency of the photovoltaic module in different environments is improved, the storage battery management enhances the electric energy use stability through intelligent evaluation, the energy loss is reduced, and the overall energy utilization efficiency and adaptability of the system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic applications, and particularly to a vehicle-mounted photovoltaic system that can be applied in multiple scenarios. Background Art

[0002] The technical field of photovoltaic applications includes the manufacturing of photovoltaic components, the design and installation of photovoltaic systems, the conversion and storage of photovoltaic electricity, and the application of photovoltaic power generation in different scenarios. The core content of this technical field lies in the efficient conversion of photovoltaic power generation technology and its adaptability in various environments, including the selection of solar cell materials, the optimized layout of photovoltaic arrays, power electronic conversion technology, and energy management strategies. The applications of photovoltaic systems cover fixed photovoltaic power stations, building-integrated photovoltaics, portable photovoltaic devices, and vehicle-mounted photovoltaic systems. Different energy acquisition, storage, and distribution methods are adopted in different application scenarios to adapt to changes in environmental factors. As an important branch of photovoltaic applications, vehicle-mounted photovoltaic systems utilize the integration of photovoltaic components on vehicles to achieve energy supply in a mobile environment, usually combined with energy storage devices and intelligent energy management strategies to optimize the utilization of photovoltaic energy.

[0003] Among them, a vehicle-mounted photovoltaic system refers to a technical solution in which photovoltaic components are installed on the vehicle structure and combined with an energy management system for power distribution. The technical matters of this system cover the fixation and arrangement of photovoltaic components, the collection and conversion of electrical energy, the storage and supply of electrical energy. Photovoltaic components usually adopt high-efficiency solar cell units and are laminated and encapsulated to enhance weather resistance and mechanical strength. The fixation methods include pasting, embedding, or retractable installation to meet the requirements of different vehicle structures. The collection and conversion of electrical energy are achieved through MPPT maximum power point tracking technology and DC-DC converters to realize the efficient transmission of photovoltaic energy. The electrical energy is stored using lithium batteries or supercapacitors, and the charging and discharging processes are regulated through energy management strategies to avoid power waste. The electrical energy is supplied to vehicle-mounted devices in the form of direct current or inverted alternating current, and can be combined with the vehicle power system for auxiliary energy supply to improve the energy utilization rate of the vehicle.

[0004] In the prior art, fixed logic control is mostly adopted in photovoltaic energy storage and distribution, and the charge and discharge strategies cannot be dynamically adjusted based on the photovoltaic power generation, energy storage status, and load demand. As a result, the energy storage battery may be overcharged under low loads and its power supply capacity may be limited under high loads, affecting the energy utilization efficiency. For different vehicle operating states, the existing solutions fail to effectively distinguish between driving and parking conditions, making it difficult to optimize the photovoltaic energy supply strategy according to the vehicle state changes. As a result, the photovoltaic power generation capacity is not fully utilized during parking, and the dependence on the energy storage battery is relatively high during driving. In terms of environmental adaptability, the existing photovoltaic systems do not adjust the angles of photovoltaic modules in combination with geographical information such as GPS data and solar altitude angles. The fixed installation method reduces the power generation adaptability in different environments. In areas with complex lighting conditions, the inclination angle of the photovoltaic modules cannot be adjusted according to the environmental changes, affecting the power generation efficiency. For battery management, the existing solutions only rely on a single power monitoring method and do not comprehensively judge the energy storage state, photovoltaic charging capacity, and load power demand. As a result, it is difficult to optimize and adjust the battery power supply mode when the photovoltaic energy is insufficient, which may cause the risk of insufficient power supply for key equipment or deep discharge of the battery. These problems limit the energy adaptability of photovoltaic systems in multiple scenarios and make it difficult to achieve the optimal overall power supply efficiency of on-vehicle photovoltaics. Summary of the Invention

[0005] The object of the present invention is to solve the disadvantages existing in the prior art and propose an on-vehicle photovoltaic system applicable to multiple scenarios.

[0006] To achieve the above object, the present invention adopts the following technical solutions: An on-vehicle photovoltaic system applicable to multiple scenarios includes:

[0007] The photovoltaic energy collection module collects photovoltaic power generation data, light intensity data, and ambient temperature data, analyzes the working state of the photovoltaic modules, analyzes the power flow direction, performs energy storage charging and load power supply, and forms photovoltaic energy distribution parameters;

[0008] The energy distribution control module analyzes the load power demand based on the photovoltaic energy distribution parameters, directly supplies power when the energy supply is sufficient, calls the energy storage discharge strategy when the energy supply is insufficient, and adjusts the load power when it is lower than the discharge threshold, forming vehicle load energy supply regulation data;

[0009] The driving and parking power supply module analyzes the vehicle parking information based on the vehicle load energy supply regulation data, adjusts the priority of photovoltaic energy supply, calls the energy storage battery compensation, matches the available photovoltaic energy, vehicle power demand, and energy storage discharge amount during driving, and distributes the system energy supply in combination with the ambient temperature and remaining power during parking, forming vehicle power supply adjustment parameters;

[0010] The environment adaptation adjustment module analyzes the surrounding environment data based on the vehicle operation state power supply adjustment parameters, calculates the influence of photovoltaic power generation, adjusts the inclination angle of the photovoltaic module, optimizes the energy storage ratio, charging power, and heat dissipation efficiency, and forms the environment self-matching photovoltaic power generation parameters.

[0011] As a further solution of the present invention, the photovoltaic energy distribution parameters include photovoltaic power generation power, energy storage charging state, load power supply state, energy flow category, battery temperature monitoring value; the on-vehicle load energy supply control data includes load power demand, remaining capacity of the energy storage battery, photovoltaic power supply feasibility, power adjustment ratio, power supply mode switching state; the vehicle operation state power supply adjustment parameters include driving power supply priority, parking energy supply mode, energy storage battery compensation ratio, on-vehicle equipment power distribution, environmental temperature influence factor; the environment self-matching photovoltaic power generation parameters include photovoltaic module inclination angle, light intensity coefficient, energy storage charging mode, heat dissipation adjustment method, geographical environment adaptation factor.

[0012] As a further solution of the present invention, the photovoltaic energy collection module includes:

[0013] The photovoltaic data collection sub-module obtains the photovoltaic power generation data, light intensity data, and environmental temperature data of the solar panel, calls the battery temperature sensor data, analyzes the working state of the photovoltaic module, and calculates the ratio between the light intensity and the photovoltaic power generation data to obtain the photovoltaic module operation parameters;

[0014] The electric energy flow analysis sub-module calculates the photovoltaic power generation power based on the photovoltaic module operation parameters, compares it with the energy storage threshold, judges the electric energy flow direction, analyzes whether the current photovoltaic power generation meets the energy storage conditions, and obtains the electric energy flow state;

[0015] The energy storage control sub-module calls the electric energy flow state, judges whether it meets the energy storage conditions. If it meets, it executes the energy storage battery charging step. If it does not meet, it directly supplies power to the on-vehicle load and generates the photovoltaic energy distribution parameters.

[0016] As a further solution of the present invention, the specific calculation formula for the average power generation power of the photovoltaic module is:

[0017]

[0018] Among them, P pv represents the average power generation power of the photovoltaic module, U i represents the output voltage of the photovoltaic module at the i-th sampling, I i represents the output current of the photovoltaic module at the i-th sampling, n represents the sampling times of the photovoltaic power generation power, S eff represents the current light intensity measurement value, S ref represents the rated light intensity of the photovoltaic module, ηr Represents the power correction coefficient caused by the light intensity deviation.

[0019] As a further aspect of the present invention, the energy distribution control module includes:

[0020] Based on the photovoltaic energy distribution parameters, the load power calculation sub-module calculates the power index of the vehicle load, obtains the storage state of the energy storage battery, analyzes the ratio between the current stored power of the energy storage battery and the discharge threshold, and obtains the load power demand state;

[0021] The photovoltaic energy supply matching sub-module calls the load power demand state, calculates the adequacy index of the photovoltaic energy supply, determines whether the photovoltaic power generation power matches the vehicle load power demand. If it matches, direct power supply is executed. If not, the energy storage battery discharge strategy is called to obtain the photovoltaic energy supply matching state;

[0022] Based on the photovoltaic energy supply matching state, the energy storage discharge control sub-module determines whether the energy storage battery needs to discharge. If it needs to discharge, it calculates the discharge power of the energy storage battery and combines the storage level of the energy storage battery to determine whether it is lower than the discharge threshold. If it is lower than the discharge threshold, the load power is adjusted to obtain the vehicle load energy supply regulation data.

[0023] As a further aspect of the present invention, the formula for calculating the adequacy index of the photovoltaic energy supply is specifically:

[0024]

[0025] Where C match Represents the adequacy index of the photovoltaic energy supply, P gen Represents the current power generation power of the photovoltaic module, P bat Represents the current dischargeable power of the energy storage battery, P load Represents the total power demand of the vehicle load, T env Represents the measured value of the ambient temperature, T opt Represents the optimal operating temperature of the photovoltaic module, n represents the number of measurements of the ambient temperature, η T Represents the correction coefficient of the ambient temperature change on the photovoltaic power generation power.

[0026] As a further aspect of the present invention, the driving and parking power supply module includes:

[0027] Based on the vehicle load energy supply regulation data, the vehicle state analysis sub-module analyzes the vehicle speed, engine operating state and parking conditions, calculates the classification parameter index of the current vehicle state, determines whether the vehicle is in the driving stage or the parking stage, and obtains the vehicle state parameters;

[0028] The driving energy supply regulation sub-module calls the vehicle state parameters to determine whether the vehicle is in the driving stage. If it is in the driving stage, it calculates the available photovoltaic energy, the on-vehicle power demand, and the discharge capacity of the energy storage battery, compares the matching degree between the available photovoltaic energy and the on-vehicle power demand, adjusts the priority of photovoltaic energy supply, and obtains the energy supply adjustment parameters in the driving stage;

[0029] The parking power supply switching sub-module calls the vehicle state parameters to determine whether the vehicle is in the parking stage. If it is in the parking stage, it calculates the ambient temperature, the type of load, and the remaining power, adjusts the power supply mode according to the priority order of load demand, identifies the power supply switching indicators of the ventilation, lighting, and entertainment systems, and obtains the power supply adjustment parameters for the vehicle operating state.

[0030] As a further solution of the present invention, the environment adaptation adjustment module includes:

[0031] The ambient light analysis sub-module analyzes the GPS positioning, the solar altitude angle, the ambient light intensity, and the surface reflectivity based on the power supply adjustment parameters for the vehicle operating state, analyzes the influence of the current geographical environment on photovoltaic power generation, and obtains the ambient light influence parameters;

[0032] The photovoltaic module optimization sub-module calls the ambient light influence parameters, calculates the optimal inclination angle of the photovoltaic module according to the photovoltaic power generation efficiency data, adjusts the photovoltaic power generation direction to match the light intensity distribution in terms of angle, and obtains the photovoltaic module inclination angle matching parameters;

[0033] The energy distribution adjustment sub-module calls the photovoltaic module inclination angle matching parameters, calculates the increase amplitude of the energy storage ratio in the low sunlight area for different environmental conditions, identifies the adjustment value of the photovoltaic surface angle in the high reflection area, sets the charging power limit in the high temperature environment, and calculates the required heat dissipation index, and obtains the environment self-matching photovoltaic power generation parameters.

[0034] As a further solution of the present invention, the system further includes a battery energy supplement module;

[0035] The battery energy supplement module analyzes the remaining battery power and the energy storage charging state based on the environment self-matching photovoltaic power generation parameters, calculates the available battery energy, performs photovoltaic direct charging and energy storage replenishment according to the matching situation, adjusts the load power demand, and forms a vehicle-mounted photovoltaic regulation plan;

[0036] The vehicle-mounted photovoltaic regulation plan includes the battery charging mode, the load energy supply strategy, the energy storage battery replenishment method, the power reduction ratio of non-essential equipment, and the photovoltaic direct charging execution status.

[0037] As a further solution of the present invention, the battery energy supplement module includes:

[0038] The power status evaluation sub-module calculates the current available energy value of the storage battery based on the environment-self-matched photovoltaic power generation parameters, invokes the remaining power of the storage battery and the charging status of the energy storage battery, evaluates the predictability of photovoltaic charging, and obtains the energy status parameters of the storage battery.

[0039] The photovoltaic charging matching sub-module invokes the energy status parameters of the storage battery, calculates the matching situation between the battery power and the photovoltaic charging conditions, determines whether to execute the photovoltaic direct charging or energy storage transfer and replenishment mode. If the photovoltaic charging is sufficient, it directly charges the storage battery. If the charging is limited, it preferentially uses the energy storage battery for replenishment, and obtains the photovoltaic charging matching scheme.

[0040] The load power adjustment sub-module invokes the photovoltaic charging matching scheme, determines whether the photovoltaic charging meets the demand. If the photovoltaic charging is limited, it calculates the adjustment range of the load power demand, reduces the power consumption level of non-essential equipment, and establishes a vehicle-mounted photovoltaic regulation scheme.

[0041] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0042] In the present invention, through the real-time analysis of photovoltaic power generation power, ambient light intensity, and battery temperature, the scheme optimizes the power flow direction and energy storage charge and discharge regulation, improves the energy storage efficiency and power supply accuracy, dynamically adjusts the photovoltaic power supply path and the power supply strategy under the vehicle operation state, and adaptively regulates the geographical environment, improves the power generation efficiency of the photovoltaic module in different environments. The battery management enhances the stability of power use through intelligent evaluation, reduces energy loss, and improves the overall energy utilization efficiency and adaptability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0044] Figure 1 is the system flow chart of the present invention;

[0045] Figure 2 is the sub-module flow chart of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0046] The following will describe the technical solutions in the present invention with reference to the drawings.

[0047] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to give examples, illustrations or explanations. Any embodiment or design solution described as an "example" in the present invention should not be construed as being more preferred or advantageous than other embodiments or design solutions. Rather, the use of the word "example" is intended to present concepts in a specific manner. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one of the two can be selected.

[0048] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, the meanings they express are the same. "(of)", "corresponding", and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, the meanings they express are the same.

[0049] In the embodiments of the present invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meanings they express are the same.

[0050] To make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments.

[0051] Please refer to Figure 1 and 2 , a vehicle-mounted photovoltaic system applicable to multiple scenarios includes:

[0052] The photovoltaic energy collection module collects the photovoltaic power generation data, light intensity data, and ambient temperature data of the solar panels, calls the battery temperature sensor data to analyze the working state of the photovoltaic module, analyzes the power flow direction based on the comparison result of the photovoltaic power generation power and the energy storage threshold, monitors the satisfaction of the charging conditions, executes the energy storage battery storage and charging steps, and directly supplies power to the vehicle-mounted load to form photovoltaic energy distribution parameters;

[0053] The energy distribution control module calculates the power demand of the vehicle-mounted load and the storage state of the energy storage battery based on the photovoltaic energy distribution parameters, analyzes the adequacy of photovoltaic power supply. When the power supply matches the demand, it executes direct power supply. When the photovoltaic power supply is insufficient, it calls the energy storage battery discharge strategy to maintain the operation of the load. If the storage level of the energy storage battery is lower than the discharge threshold, it adjusts the load power to form vehicle-mounted load power supply regulation data;

[0054] The driving and parking power supply module analyzes the vehicle speed, engine operating status, and parking conditions based on the vehicle load energy supply regulation data, calculates the energy supply and demand relationship under different vehicle states. During the driving stage, it performs energy supply matching according to the available photovoltaic energy, vehicle power demand, and the dischargeable amount of the energy storage battery, dynamically adjusts the priority of photovoltaic energy supply and the energy storage battery intervention compensation strategy. During the parking stage, it defines the energy supply priority order in combination with the ambient temperature, load type, and remaining power, and reasonably switches the power supply mode to the ventilation, lighting, and entertainment systems to form the power supply adjustment parameters for the vehicle operating state;

[0055] The environment adaptation adjustment module analyzes the GPS positioning, solar altitude angle, ambient light intensity, and surface reflectivity based on the power supply adjustment parameters for the vehicle operating state, calculates the impact of the current geographical environment on photovoltaic power generation, and dynamically optimizes the inclination angle of the photovoltaic module and adjusts the photovoltaic power generation direction and angle matching parameters according to the photovoltaic power generation efficiency data. For different environmental conditions, it executes corresponding adjustment strategies, increases the energy storage ratio in low sunlight areas, optimizes the angle matching of the photovoltaic surface in high reflection areas, reduces the charging power and conducts heat dissipation in high temperature environments to form the environment self-matching photovoltaic power generation parameters;

[0056] The battery energy replenishment module calculates the available energy of the battery and the predictability of photovoltaic charging based on the environment self-matching photovoltaic power generation parameters, calls the remaining power of the battery and the charging status of the energy storage battery, and executes the photovoltaic direct charging and energy storage transfer charging modes according to the matching situation between the battery power and the photovoltaic charging conditions. If the photovoltaic charging is limited, it adjusts the load power demand and reduces the power consumption level of non-essential equipment to form the on-vehicle photovoltaic regulation plan.

[0057] The photovoltaic energy distribution parameters include photovoltaic power generation power, energy storage charging status, load power supply status, energy flow category, and battery temperature monitoring value; the vehicle load energy supply regulation data includes load power demand, remaining capacity of the energy storage battery, photovoltaic power supply feasibility, power adjustment ratio, and power supply mode switching status; the power supply adjustment parameters for the vehicle operating state include driving power supply priority, parking energy supply mode, energy storage battery compensation ratio, vehicle equipment power distribution, and ambient temperature impact factor; the environment self-matching photovoltaic power generation parameters include photovoltaic module inclination angle, light intensity coefficient, energy storage charging mode, heat dissipation adjustment method, and geographical environment adaptation factor; the on-vehicle photovoltaic regulation plan includes battery charging mode, load energy supply strategy, energy storage battery replenishment method, non-essential equipment power reduction ratio, and photovoltaic direct charging execution status.

[0058] Please refer to Figure 2 , the photovoltaic energy collection module includes:

[0059] The photovoltaic data acquisition sub-module obtains the photovoltaic power generation data, light intensity data, and ambient temperature data of the solar panel, calls the battery temperature sensor data, analyzes the working state of the photovoltaic module, calculates the ratio between the light intensity and the photovoltaic power generation data, and obtains the operating parameters of the photovoltaic module;

[0060] The photovoltaic power generation data is collected by a current sensor and a voltage sensor respectively. The output current detected by the current sensor ranges from 0A to 15A, and the voltage measured by the voltage sensor ranges from 0V to 50V. Subsequently, the actual power generation power of the photovoltaic module is calculated and averaged. Data is collected once per second and stored in the data buffer. The light intensity data measures the light power density through a light sensor, and the measurement range of the sensor is from 0W / m 2 to 1200W / m 2 . After data collection, it is processed by an analog-to-digital conversion circuit and converted into a numerical form available for calculation. The ambient temperature data is measured by a temperature sensor, with a range of -20°C to 85°C, which is used to evaluate the working environment of the photovoltaic module. When calling the battery temperature sensor, the sensor is installed on the back of the photovoltaic module to measure the surface temperature of the module, with a measurement range of -20°C to 100°C. When analyzing the working state of the photovoltaic module, first compare the battery temperature with the ambient temperature. If the battery temperature is more than 15°C higher than the ambient temperature and the light intensity is higher than 800W / m 2 , it is determined that the module is in a high-temperature operating state. If the battery temperature is more than 5°C lower than the ambient temperature and the light intensity is lower than 300W / m 2 , it is determined that the module is in an inefficient operating state. If the battery temperature is between 30°C and 50°C and the light intensity is above 600W / m 2 , it is determined that the module is in a normal operating state. When calculating the ratio between the light intensity and the photovoltaic power generation data, the unit power density is used to calculate the photoelectric conversion efficiency. The photovoltaic power generation power is divided by the light intensity and compared with the theoretical conversion efficiency of the photovoltaic module. If the ratio is lower than 85% of the theoretical value, it indicates that there is abnormal loss in the photovoltaic module. Through the above data processing, the operating parameters of the photovoltaic module are finally obtained.

[0061] Based on the operating parameters of the photovoltaic module, the electric energy flow analysis sub-module calculates the photovoltaic power generation power, compares it with the energy storage threshold, determines the direction of the electric energy flow, and analyzes whether the current photovoltaic power generation meets the energy storage conditions to obtain the electric energy flow state;

[0062] The specific formula for calculating the average power generation power of the photovoltaic module is:

[0063]

[0064] where P pv represents the average power generation power of the photovoltaic module, and U iRepresents the output voltage of the photovoltaic module at the i-th sampling, I i Represents the output current of the photovoltaic module at the i-th sampling, n represents the number of samplings of the photovoltaic power generation, S eff Represents the current measured value of the light intensity, S ref Represents the rated light intensity of the photovoltaic module, η r Represents the power correction coefficient caused by the light intensity deviation:

[0065] This formula calculates the photovoltaic power generation P pv , considering the output voltage U i and output current I i at each sampling and the influence of the change in light intensity on the power generation efficiency.

[0066] Assume that there are n = 60 measurements within one hour, and the voltage U i and current I i at each measurement are as follows (these data are obtained through the actual monitoring system):

[0067] U1 = 15V, I1 = 5A;

[0068] U2 = 15V, I2 = 5.1A;

[0069] U 60 = 14.8V, I 60 = 5A;

[0070] Calculate P pv The instantaneous power at each sampling and sum them:

[0071]

[0072] The measured value of the light intensity S eff is 800 W / m2, and the reference value S ref is set to 1000 W / m2. The power correction coefficient η r caused by the light intensity deviation is 0.05. Then the light intensity difference correction term is:

[0073] |S eff - S ref |·η r = |800 - 1000|·0.05 = 10 watts;

[0074] Substitute these values into the formula to calculate the photovoltaic power generation:

[0075]

[0076] The result shows that the average photovoltaic power generation per sampling is 74.98 watts. This is the result after considering the influence of voltage and current measurements and changes in light intensity. For the entire photovoltaic system, this power level determines its energy output ability under different light conditions. This helps to evaluate and predict whether the energy storage system can meet the set energy storage threshold, and then determine the energy flow direction to optimize the overall energy management.

[0077] The energy storage control sub-module calls the energy flow state, judges whether the energy storage condition is met. If it is met, the energy storage battery charging step is executed. If it is not met, it directly supplies power to the vehicle-mounted load and generates photovoltaic energy distribution parameters.

[0078] Judge whether the energy storage condition is met. If the energy flow state is determined to be the energy storage state, the energy storage battery charging step is executed. During the charging process, the charging current is controlled in stages according to the SOC. If the SOC is lower than 50%, the charging current is set to 80% of the rated current, that is, 8A. If the SOC is between 50% and 80%, the charging current is reduced to 50% of the rated current, that is, 5A. If the SOC is higher than 80%, the charging current is further reduced to 20% of the rated current, that is, 2A. When the SOC reaches 95%, the charging stops. If the energy flow state is determined to be the direct power supply state, the photovoltaic power generation directly supplies the vehicle-mounted load. The power of the vehicle-mounted load is measured in real time. If the photovoltaic power generation power is higher than the load power, the full photovoltaic power supply mode is adopted. If the photovoltaic power generation power is lower than the load power, the power difference between the two is calculated, and it is detected whether the remaining power of the energy storage battery can make up for this difference. If the remaining power of the energy storage battery can meet the requirement, the energy storage battery supplies supplementary power. If the remaining power of the energy storage battery is insufficient, the power distribution of the vehicle-mounted load is adjusted to give priority to ensuring the power supply demand of the core load, and finally the photovoltaic energy distribution parameters are generated.

[0079] Please refer to Figure 2 , the energy distribution control module includes:

[0080] The load power calculation sub-module calculates the power index of the vehicle-mounted load based on the photovoltaic energy distribution parameters, obtains the storage state of the energy storage battery, analyzes the ratio between the current stored power of the energy storage battery and the discharge threshold, and obtains the load power demand state.

[0081] First, read the photovoltaic energy distribution parameters to obtain the photovoltaic power generation, the charge and discharge status of the energy storage battery, and the power demand of the vehicle-mounted load. If the vehicle-mounted load includes multiple independent load units, calculate the power consumption of each unit separately. For load devices such as vehicle-mounted air conditioners, vehicle-mounted lighting, and vehicle-mounted audio systems, their power demands are updated in real time according to the device operating status. The power demand of the air conditioner is usually in the range of 500W to 1500W, the power demand of the lighting system is in the range of 50W to 200W, and the power demand of the audio system is in the range of 100W to 300W. Summarize and calculate the power demands of each device to obtain the current total load power. Subsequently, call the storage status of the energy storage battery to read the current voltage, current, and SOC of the battery. The SOC range is set between 0% and 100%. If the SOC is lower than 20%, it is determined that the battery power is in a low storage state. If the SOC is between 20% and 80%, it is determined that the battery power is in a normal storage state. If the SOC is higher than 80%, it is determined that the battery power is in a high storage state. Calculate the ratio between the current stored power of the energy storage battery and the discharge threshold. The discharge threshold is set according to the capacity of the energy storage battery. For example, for a 10kWh energy storage battery, its discharge threshold can be set between 2kWh and 3kWh. That is, when the SOC is lower than 20%, the discharge is restricted. When the current battery stored power is 4kWh, the ratio is 200%, which is higher than the discharge threshold, indicating that the energy storage battery still has the ability to discharge. If the battery stored power is 1.5kWh, the ratio is lower than the discharge threshold, indicating that the battery is not suitable for discharging. Finally, obtain the load power demand status.

[0082] The photovoltaic energy supply matching sub-module calls the load power demand status, calculates the adequacy index of the photovoltaic energy supply, and judges whether the photovoltaic power generation is matched with the vehicle-mounted load power demand. If it is matched, direct power supply is executed. If it is not matched, the energy storage battery discharge strategy is called to obtain the photovoltaic energy supply matching status;

[0083] The specific calculation formula for the adequacy index of the photovoltaic energy supply is as follows:

[0084]

[0085] Among them, C match represents the adequacy index of the photovoltaic energy supply, P gen represents the current power generation of the photovoltaic module, P bat represents the current dischargeable power of the energy storage battery, P load represents the total power demand of the vehicle-mounted load, T env represents the measured value of the ambient temperature, T opt represents the optimal operating temperature of the photovoltaic module, n represents the number of measurements of the ambient temperature, η T represents the correction coefficient of the ambient temperature change on the photovoltaic power generation:

[0086] This formula aims to evaluate the matching degree between the energy supply of the photovoltaic system and the load demand. The parameters P gen 、P bat 、P load 、T env 、T opt 、η T are obtained from real-time monitoring or historical data.

[0087] Set the following actual monitoring values and parameters: P gen = 500 watts: Measured in real time by the monitoring device of the photovoltaic panel. P bat = 300 watts: The current discharge power of the battery measured by the battery management system. P load = 600 watts: The real-time power demand summarized by the vehicle-mounted system. T env = 35°C: The ambient temperature is obtained by the vehicle-mounted meteorological monitoring device. T opt = 25°C: The optimal operating temperature provided by the photovoltaic module manufacturer. η T = 0.01: The temperature correction coefficient is set according to the experimental data of the change of photovoltaic efficiency with temperature. The number of measurements n = 10, representing the number of samples in a specific monitoring period.

[0088] Calculation process: Calculation of the influence of ambient temperature on the power generation:

[0089]

[0090] Adjustment of the actual available power of the photovoltaic system:

[0091]

[0092] 500 + 17.32 - 1 = 516.32 watts;

[0093] Photovoltaic energy supply adequacy index:

[0094]

[0095] This calculation shows that the energy supply adequacy index of the photovoltaic power generation system is 0.86, indicating a mismatch between the power generation capacity of the photovoltaic system and the current load demand. This result prompts that the power management system may need to call the energy storage battery discharge strategy to make up for the power difference and ensure the stable operation of the system.

[0096] The energy storage discharge control sub-module judges whether the energy storage battery needs to discharge according to the photovoltaic energy supply matching state. If it needs to discharge, it calculates the discharge power of the energy storage battery, and combines the storage level of the energy storage battery to judge whether it is lower than the discharge threshold. If it is lower than the discharge threshold, it adjusts the load power to obtain the vehicle-mounted load energy supply control data;

[0097] Determine whether the energy storage battery needs to discharge. If the energy storage battery needs to discharge, calculate the discharge power of the energy storage battery. First, obtain the current battery SOC and discharge capacity. If the SOC is higher than 50%, the discharge power can be set to 80% of the maximum discharge power. For example, if the maximum discharge power is 500W, the discharge power is set to 400W at this time. If the SOC is between 20% and 50%, the discharge power is set to 50% of the maximum discharge power, that is, 250W. If the SOC is lower than 20%, the discharge power is set to 100W. Then, combine the storage level of the energy storage battery to determine whether it is lower than the discharge threshold. If the SOC of the energy storage battery is already lower than the set discharge threshold, adjust the load power, calculate whether the current load demand can be reduced, and adjust the non-core load power, such as reducing the air conditioner power from 1000W to 600W and reducing the audio power from 200W to 100W, and finally obtain the vehicle load energy supply control data.

[0098] Please refer to Figure 2 , the driving and parking power supply module includes:

[0099] The vehicle state analysis sub-module, based on the vehicle load energy supply control data, analyzes the vehicle speed, engine operating state, and parking conditions, calculates the classification parameter indicators of the current vehicle state, determines whether the vehicle is in the driving stage or the parking stage, and obtains the vehicle state parameters;

[0100] First, obtain the vehicle speed data, read the real-time vehicle speed value output by the vehicle-mounted speed sensor. When the vehicle speed is in the range of 0 km / h to 120 km / h, if the vehicle speed is greater than 5 km / h, it is determined that the vehicle is in the driving state. If the vehicle speed is equal to 0 km / h and remains for more than 30 seconds, it is determined that the vehicle is in the parking state. Then, obtain the engine operating state, read the vehicle-mounted ECU (electronic control unit) data. If the engine speed is greater than 800 rpm, it is determined that the engine is in the operating state. If the engine speed is less than 800 rpm and remains for more than 10 seconds, it is determined that the engine is in the off state. Subsequently, obtain the parking conditions, read the parking brake status signal. If the parking brake signal is in the activated state, it is determined that the vehicle is in the parking state, otherwise it is determined to be in the non-parking state. Calculate the classification parameter indicators of the current vehicle state, combine the vehicle speed, engine state, and parking signal to set the classification criteria. If the vehicle speed is greater than 5 km / h and the engine is running, it is classified as the driving stage. If the vehicle speed is 0 km / h and the parking signal is activated, it is classified as the parking stage, and obtain the vehicle state parameters.

[0101] The driving energy supply control sub-module calls the vehicle state parameters to determine whether the vehicle is in the driving stage. If it is in the driving stage, calculate the available photovoltaic energy, vehicle power demand, and the dischargeable amount of the energy storage battery, compare the matching degree between the available photovoltaic energy and the vehicle power demand, adjust the priority of photovoltaic energy supply, and obtain the energy supply adjustment parameters for the driving stage;

[0102] Determine whether the vehicle is in the driving stage. If the vehicle status parameter determines that it is in the driving stage, calculate the available photovoltaic energy, the on-vehicle power demand, and the discharge capacity of the energy storage battery, and obtain the current photovoltaic power generation. If the photovoltaic power generation is 600W, the on-vehicle load power demand is 800W, and the current SOC of the energy storage battery is 40%, then the discharge capacity of the energy storage battery is set to 50% of the maximum discharge power, that is, 300W. Calculate the matching degree between the available photovoltaic energy and the on-vehicle power demand. The matching degree setting standard is the ratio of the photovoltaic power generation to the on-vehicle load power demand. If this ratio is between 90% and 110%, it is determined to be a match; otherwise, it is determined to be a mismatch. If it is a match, maintain the current energy supply mode; if it is a mismatch, adjust the photovoltaic energy supply priority. If the photovoltaic power generation is less than the on-vehicle power demand and the discharge capacity of the energy storage battery is sufficient, give priority to using the energy storage battery to supplement the power gap. If the SOC of the energy storage battery is lower than the discharge threshold, reduce the power of non-essential loads, such as adjusting the on-vehicle air conditioner power from 1200W to 800W, so as to obtain the energy supply adjustment parameters in the driving stage.

[0103] The parking power supply switching sub-module calls the vehicle status parameters to determine whether the vehicle is in the parking stage. If it is in the parking stage, calculate the ambient temperature, the type of load, and the remaining power, and adjust the power supply mode according to the priority order of load requirements, identify the power supply switching indicators for ventilation, lighting, and entertainment systems, and obtain the power supply adjustment parameters for the vehicle operating status;

[0104] Determine whether the vehicle is in the parking stage. If the vehicle status parameter determines that it is in the parking stage, calculate the ambient temperature, the type of load, and the remaining power, obtain the ambient temperature data, and read the current ambient temperature measured by the temperature sensor. If the ambient temperature is higher than 30°C or lower than 5°C, increase the power supply priority of the air conditioning system. If the ambient temperature is between 15°C and 25°C, reduce the power supply priority of the air conditioning system. Read the on-vehicle load types, which are divided into essential loads and optional loads. Essential loads include the parking lighting system (power range 50W to 150W) and the on-vehicle monitoring system (power range 20W to 100W). Optional loads include the on-vehicle entertainment system (power range 50W to 300W) and the on-vehicle ventilation system (power range 100W to 500W). Calculate the remaining power, obtain the photovoltaic power generation and the remaining power of the energy storage battery. If the SOC of the energy storage battery is higher than 50% and the photovoltaic power generation is greater than 200W, maintain the power supply for all loads. If the SOC is lower than 30% and the photovoltaic power generation is less than 100W, turn off the optional loads and only maintain the operation of the essential loads. Adjust the power supply mode according to the priority order of load requirements, calculate the power supply switching indicators for ventilation, lighting, and entertainment systems. If the battery power is not enough to maintain all loads, give priority to turning off the entertainment system, and then adjust the power of the ventilation system from the maximum power of 500W to 300W, so as to obtain the power supply adjustment parameters for the vehicle operating status.

[0105] Please refer to Figure 2 , the environment adaptation adjustment module includes:

[0106] Based on the power supply adjustment parameters of the vehicle operating state, the environmental light analysis sub-module analyzes the GPS positioning, solar altitude angle, environmental light intensity, and surface reflectivity, analyzes the impact of the current geographical environment on photovoltaic power generation, and obtains the environmental light impact parameters;

[0107] First, call the GPS positioning data, read the current geographical location of the vehicle, accurate to three decimal places for longitude and latitude, obtain the current time information, calculate the solar altitude angle based on the GPS coordinates and time data, and the value range of the solar altitude angle is 0° to 90°. If the vehicle is located at 30° north latitude and the time is 12:00, the solar altitude angle is about 60°. If the time is 17:00, the solar altitude angle drops to 20°. Subsequently, call the light sensor data to read the environmental light intensity, and the unit power density range is 0W / m 2 to 1200W / m 2 . If the light intensity measured by the sensor is 800W / m 2 , it indicates that the current light is strong. If the measured light intensity is 200W / m 2 , the light is weak. Then read the surface reflectivity data, set the reflectivity value according to the surface type where the vehicle is located. If the surface is an asphalt road, the reflectivity is set to 0.1. If the surface is snow, the reflectivity is set to 0.8. Analyze the impact of the current geographical environment on photovoltaic power generation, calculate the comprehensive light reception amount. If the direct light intensity is 800W / m 2 , and the contribution of the surface reflected light is 80W / m 2 , then the total light reception amount is 880W / m 2 . If the direct light intensity is only 200W / m 2 , and the contribution of the surface reflected light is 160W / m 2 , then the total light reception amount is 360W / m 2 , and obtain the environmental light impact parameters.

[0108] The photovoltaic module optimization sub-module calls the environmental light impact parameters, calculates the optimal inclination angle of the photovoltaic module based on the photovoltaic power generation efficiency data, adjusts the photovoltaic power generation direction to match the light intensity distribution, and obtains the photovoltaic module inclination angle matching parameters;

[0109] First, obtain the solar altitude angle data of the area where the vehicle is located. If the current solar altitude angle is 60°, the optimal inclination angle calculation range of the photovoltaic module is between 25° and 35°. If the solar altitude angle drops to 30°, the optimal inclination angle is adjusted to between 55° and 65°. Call the photovoltaic power generation efficiency data and read the power generation efficiency of the current module at different inclination angles. If the power generation efficiency of the photovoltaic module is 85% at an angle of 30° and 92% at an angle of 40°, then select 40° as the current optimal inclination angle and adjust the photovoltaic power generation direction to make the angle match the light intensity distribution. If the vehicle is in a stationary state, directly adjust the inclination angle of the module. If the vehicle is in a driving state, the inclination angle adjustment rate is limited within 2° per minute to avoid frequent adjustment affecting the system stability, so as to obtain the inclination angle matching parameters of the photovoltaic module.

[0110] The energy distribution adjustment sub-module calls the inclination angle matching parameters of the photovoltaic module, calculates the increase amplitude of the energy storage proportion in the low sunlight area, identifies the adjustment value of the photovoltaic surface angle in the high reflection area, sets the charging power limit in the high temperature environment, and calculates the required heat dissipation index to obtain the environment self-matching photovoltaic power generation parameters;

[0111] First, obtain the data of the low sunlight area where the light intensity is lower than 300 W / m 2 . If the vehicle is located in this area and the photovoltaic power generation power is less than 30% of the rated power, the charging priority of the energy storage battery is reduced, and the discharge proportion is increased to 70%. If the photovoltaic power generation power can still be maintained above 50% of the rated power, the discharge proportion is maintained at 40%. Identify the adjustment value of the photovoltaic surface angle in the high reflection area. If the surface reflectivity exceeds 0.5, the inclination angle of the photovoltaic module is reduced by 5° to 10° to improve the utilization rate of the reflected light. Set the charging power limit in the high temperature environment. If the environmental temperature exceeds 35°C, the charging power of the photovoltaic module is limited to 80% of the maximum power. If the environmental temperature exceeds 40°C, it is further reduced to 50%. Calculate the required heat dissipation index. If the component temperature exceeds 75°C, increase the power of the air cooling system to 50 W. If the component temperature exceeds 85°C, increase it to 100 W. Finally, obtain the environment self-matching photovoltaic power generation parameters.

[0112] Please refer to Figure 2 , the battery energy replenishment module includes:

[0113] The battery state assessment sub-module, based on the environment self-matching photovoltaic power generation parameters, calls the remaining battery power and the charging state of the energy storage battery, calculates the current available energy value of the battery, evaluates the predictability of photovoltaic charging, and obtains the battery energy state parameters;

[0114] First, read the battery voltage and the current state of charge (SOC). The battery voltage measurement range is from 10V to 14.4V, and the SOC range is from 0% to 100%. If the SOC is greater than 80%, it is determined that the battery has sufficient power. If the SOC is lower than 20%, it is determined that the power is insufficient. Obtain the charging state of the energy storage battery, detect the current charging current and voltage. If the charging current is higher than 5A and the voltage remains around 14V, it is judged that the battery is in the fast charging mode. If the charging current is lower than 2A and the voltage is between 13.2V and 13.8V, it is judged that the battery is in the floating charge mode. Calculate the current available energy value of the battery. Based on the current SOC and the nominal capacity of the battery. For example, for a 60Ah battery, if the SOC is 50%, the available energy is calculated as 0.5×60Ah×12V = 360Wh. Evaluate the predictability of photovoltaic charging, obtain the current photovoltaic power generation and the estimated charging time. If the photovoltaic power generation is 200W and the estimated charging time is 2 hours, 400Wh of electricity can be supplemented. Finally, obtain the battery energy state parameters.

[0115] The photovoltaic charging matching sub-module calls the battery energy state parameters, calculates the matching situation between the battery power and the photovoltaic charging conditions, and judges whether to execute the photovoltaic direct charging or the energy storage transfer charging mode. If the photovoltaic charging is sufficient, directly charge the battery. If the charging is limited, preferentially use the energy storage battery for charging, and obtain the photovoltaic charging matching scheme;

[0116] First, obtain the current charging demand of the battery. If the SOC is lower than 50%, it is determined that the battery needs to be charged. If the SOC is higher than 80%, limit the photovoltaic direct charging. Obtain the photovoltaic power generation and the current vehicle load power. If the photovoltaic power generation is greater than the battery charging power demand, calculate the charging matching degree. The charging matching degree is defined as the ratio of the photovoltaic power generation to the battery charging demand power. If the ratio is between 90% and 110%, it is determined that the photovoltaic charging is sufficient. Otherwise, it is determined that the photovoltaic charging is limited. If the photovoltaic charging is sufficient, directly charge the battery. If the charging is limited, preferentially use the energy storage battery for charging. Obtain the current dischargeable power of the energy storage battery. If the SOC of the energy storage battery is higher than 30% and the maximum discharge power is 300W, calculate the power available for charging the battery. If the available power is greater than the minimum charging demand of the battery, use the energy storage battery charging mode. Otherwise, adjust the energy supply strategy. Finally, obtain the photovoltaic charging matching scheme.

[0117] The load power adjustment sub-module calls the photovoltaic charging matching scheme, judges whether the photovoltaic charging meets the demand. If the photovoltaic charging is limited, calculate the adjustment range of the load power demand, reduce the power consumption level of non-essential equipment, and establish a vehicle-mounted photovoltaic regulation scheme;

[0118] First, obtain the current total load power. If the current load power is 800W and the photovoltaic power generation is only 500W, calculate the power gap as 300W. Screen the adjustable non-essential devices, which include the car audio (200W), car entertainment system (100W), and auxiliary lighting system (50W). Reduce the power consumption level of non-essential devices. If the power gap is 300W, completely turn off the car audio and reduce the power of the entertainment system to 50W. At the same time, adjust the power of the auxiliary lighting system to the lowest gear of 30W. If the power gap is less than 150W, only reduce the power of the entertainment system and keep other systems running. Finally, establish a vehicle-mounted photovoltaic regulation plan.

[0119] The above is only a specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claimed rights.

Claims

1. A vehicle-mounted photovoltaic system that can be used in multiple scenarios, characterized by: The system comprises: The photovoltaic energy collection module collects photovoltaic power generation data, light intensity data, and ambient temperature data, analyzes the working status of photovoltaic components, analyzes the flow of electric energy, performs energy storage charging and load power supply, and forms photovoltaic energy distribution parameters; The energy distribution control module analyzes the load power demand based on the photovoltaic energy distribution parameters, directly supplies power when the energy supply is sufficient, calls the energy storage discharge strategy when the energy supply is insufficient, and adjusts the load power when it is lower than the discharge threshold, thereby forming the vehicle load energy supply control data; The driving and parking power supply module analyzes the vehicle parking information based on the on-board load energy supply control data, adjusts the photovoltaic energy supply priority, calls the energy storage battery compensation, matches the photovoltaic available energy, vehicle power demand, and energy storage discharge when driving, and distributes system energy supply in combination with the ambient temperature and remaining power when parking, forming the vehicle power supply adjustment parameters; The environmental adaptation adjustment module analyzes the surrounding environment data, calculates the impact of photovoltaic power generation, adjusts the inclination angle of photovoltaic components, optimizes the energy storage ratio, charging power, and heat dissipation efficiency based on the power supply adjustment parameters of the vehicle operation status, and forms environmental self-matching photovoltaic power generation parameters.

2. The vehicle-mounted photovoltaic system applicable in multiple scenarios according to claim 1 is characterized in that: The photovoltaic energy allocation parameters include photovoltaic power generation power, energy storage charging status, load power supply status, energy flow category, and battery temperature monitoring value; the on-board load energy supply control data includes load power demand, remaining capacity of energy storage battery, photovoltaic power supply feasibility, power adjustment ratio, and power supply mode switching status; the vehicle operation status power supply adjustment parameters include driving power supply priority, parking power supply mode, energy storage battery compensation ratio, on-board equipment power distribution, and ambient temperature influencing factors; the environmental self-matching photovoltaic power generation parameters include photovoltaic module inclination angle, light intensity coefficient, energy storage charging mode, heat dissipation adjustment method, and geographical environment adaptation factor.

3. The vehicle-mounted photovoltaic system applicable in multiple scenarios according to claim 1 is characterized in that: The photovoltaic energy collection module comprises: The photovoltaic data acquisition submodule obtains the photovoltaic power generation data, light intensity data and ambient temperature data of the solar panel, calls the battery temperature sensor data, analyzes the working status of the photovoltaic module, calculates the ratio between the light intensity and the photovoltaic power generation data, and obtains the operating parameters of the photovoltaic module; The power flow analysis submodule calculates the photovoltaic power generation based on the photovoltaic module operating parameters, compares it with the energy storage threshold, determines the flow of power, analyzes whether the current photovoltaic power generation meets the energy storage conditions, and obtains the power flow status; The energy storage control submodule calls the electric energy flow state to determine whether the energy storage conditions are met. If so, the energy storage battery charging step is executed. If not, power is directly supplied to the vehicle load to generate photovoltaic energy distribution parameters.

4. The vehicle-mounted photovoltaic system applicable in multiple scenarios according to claim 3 is characterized in that: The specific calculation formula for the average power generation power of the photovoltaic module is: Among them, P pv Represents the average power generation of the photovoltaic module, U i Represents the output voltage of the photovoltaic module at the i-th sampling time, I i represents the output current of the photovoltaic module at the i-th sampling time, n represents the sampling times of photovoltaic power generation, S eff Represents the current light intensity measurement value, S ref Represents the rated light intensity of the photovoltaic module, η r Represents the power correction factor caused by light intensity deviation.

5. The vehicle-mounted photovoltaic system applicable in multiple scenarios according to claim 1 is characterized in that: The energy distribution control module comprises: The load power calculation submodule calculates the power index of the vehicle load based on the photovoltaic energy allocation parameter, obtains the storage state of the energy storage battery, analyzes the ratio between the current storage power of the energy storage battery and the discharge threshold, and obtains the load power demand state; The photovoltaic energy supply matching submodule calls the load power demand state, calculates the adequacy index of photovoltaic energy supply, and determines whether the photovoltaic power generation power matches the vehicle load power demand. If it matches, direct power supply is executed. If it does not match, the energy storage battery discharge strategy is called to obtain the photovoltaic energy supply matching state; The energy storage discharge control submodule determines whether the energy storage battery needs to be discharged according to the photovoltaic energy supply matching status. If discharge is required, the discharge power of the energy storage battery is calculated, and combined with the storage level of the energy storage battery, it is determined whether it is lower than the discharge threshold. If it is lower than the discharge threshold, the load power is adjusted to obtain the vehicle load energy supply control data.

6. The vehicle-mounted photovoltaic system applicable in multiple scenarios according to claim 5 is characterized in that: The calculation formula of the adequacy index of photovoltaic energy supply is specifically as follows: Among them, C match Represents the adequacy index of photovoltaic energy supply, P gen Represents the current power generation of the PV module, P bat Represents the current discharge power of the energy storage battery, P load Represents the total power demand of the vehicle load, T env Represents the ambient temperature measurement value, T opt represents the optimal operating temperature of the photovoltaic module, n represents the number of ambient temperature measurements, η T Represents the correction factor of the ambient temperature change on the photovoltaic power generation power.

7. The vehicle-mounted photovoltaic system applicable in multiple scenarios according to claim 1 is characterized in that: The driving and parking power supply module includes: The vehicle state analysis submodule analyzes the vehicle speed, engine operation state and parking condition based on the vehicle load energy supply control data, calculates the classification parameter index of the vehicle's current state, determines whether the vehicle is in the driving stage or the parking stage, and obtains the vehicle state parameters; The driving energy supply control submodule calls the vehicle state parameters to determine whether the vehicle is in the driving stage. If the vehicle is in the driving stage, the photovoltaic available energy, the vehicle power demand and the dischargeable amount of the energy storage battery are calculated, and the matching degree between the photovoltaic available energy and the vehicle power demand is compared, and the photovoltaic energy supply priority is adjusted to obtain the driving stage energy supply adjustment parameters; The parking power switching submodule calls the vehicle status parameters to determine whether the vehicle is in the parking stage. If it is in the parking stage, it calculates the ambient temperature, load type and remaining power, adjusts the power supply mode according to the load demand priority, identifies the power supply switching indicators of the ventilation, lighting and entertainment systems, and obtains the power supply adjustment parameters of the vehicle operation status.

8. The vehicle-mounted photovoltaic system applicable in multiple scenarios according to claim 1 is characterized in that: The environment adaptation adjustment module includes: The ambient light analysis submodule analyzes the GPS positioning, solar altitude angle, ambient light intensity and surface reflectivity based on the power supply adjustment parameters of the vehicle running state, analyzes the impact of the current geographical environment on photovoltaic power generation, and obtains the ambient light impact parameters; The photovoltaic module optimization submodule calls the ambient light influencing parameters, calculates the optimal inclination angle of the photovoltaic module according to the photovoltaic power generation efficiency data, adjusts the photovoltaic power generation direction so that the angle matches the light intensity distribution, and obtains the photovoltaic module inclination angle matching parameters; The energy distribution adjustment submodule calls the photovoltaic component tilt angle matching parameters, calculates the increase in energy storage ratio in low sunshine areas according to differentiated environmental conditions, identifies the photovoltaic surface angle adjustment value in high reflection areas, sets the charging power limit in high temperature environments, and calculates the required heat dissipation index to obtain environmental self-matching photovoltaic power generation parameters.

9. The vehicle-mounted photovoltaic system applicable in multiple scenarios according to claim 1 is characterized in that: The system also includes a battery energy replenishment module; The battery energy replenishment module self-matches the photovoltaic power generation parameters based on the environment, analyzes the remaining battery power and energy storage charging status, calculates the available battery energy, performs photovoltaic direct charging and energy storage charging according to the matching situation, adjusts the load power demand, and forms a vehicle-mounted photovoltaic control plan; The vehicle-mounted photovoltaic control scheme includes battery charging mode, load energy supply strategy, energy storage battery supplement method, power reduction ratio of non-essential equipment, and photovoltaic direct charging execution status.

10. The vehicle-mounted photovoltaic system applicable in multiple scenarios according to claim 9 is characterized in that: The battery energy supplement module comprises: The power state evaluation submodule calls the remaining power of the battery and the charging state of the energy storage battery based on the self-matching photovoltaic power generation parameters of the environment, calculates the current available energy value of the battery, evaluates the photovoltaic charging predictability, and obtains the battery energy state parameters; The photovoltaic charging matching submodule calls the battery energy state parameter, calculates the matching of the battery power and the photovoltaic charging condition, and determines whether to execute the photovoltaic direct charging or energy storage transfer charging mode. If the photovoltaic charging is sufficient, the battery is charged directly. If the charging is limited, the energy storage battery is used for charging first to obtain the photovoltaic charging matching solution. The load power adjustment submodule calls the photovoltaic charging matching scheme to determine whether photovoltaic charging meets the demand. If photovoltaic charging is limited, the load power demand adjustment range is calculated to reduce the power consumption of non-essential equipment and establish a vehicle-mounted photovoltaic control scheme.

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