Solar power supply management control system of automobile cooler

Abstract

The invention relates to the technical field of solar power sources, in particular to a solar power source management control system of an automobile refrigerator. The system comprises an energy collection unit which is used for converting solar energy generated when solar rays irradiate a solar panel into electric energy and transmitting the electric energy to an adjusting and converting unit; the energy storage unit is used for storing electric energy and releasing the electric energy when needed; the battery management system comprises a monitoring module, a data analysis module and an anomaly detection module; the adjusting and converting unit is used for converting the electric energy transmitted by the energy collecting unit and the energy storage unit into alternating current; the refrigeration unit is used for making refrigeration equipment generate electric energy through the alternating current transmitted by the adjusting and converting unit. According to the solar power management control system for the automobile refrigerator, the actual generating capacity can be predicted more accurately, long-term stable operation of the system is ensured, energy consumption evaluation and optimization can be carried out on refrigeration equipment under different working conditions, and excessive work or unnecessary loss is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of solar power supply, in particular to a solar power supply management and control system for an automobile refrigerator. Background Art

[0002] In today's society, with the development of science and technology and the improvement of environmental awareness, electric vehicles have become an important development direction of future transportation. However, electric vehicles also have some problems in use, such as insufficient battery life and inconvenient charging. In order to solve these problems, people have begun to study various new energy technologies, among which solar energy is a very promising option. The car refrigerator is a device used to keep the temperature in the car comfortable, and its operation consumes a lot of electricity. If solar energy can be used to drive the car refrigerator, it can not only reduce the dependence on the on-board battery and extend the vehicle's mileage, but also reduce the vehicle's operating costs and improve the vehicle's economy and environmental protection. Therefore, it is particularly important to design and develop a solar power management system for the car refrigerator. This system can collect and store solar energy and convert it into electrical energy to meet the working needs of the car refrigerator. At the same time, the system should also have an intelligent adjustment function, which can automatically adjust the energy output according to changes in environmental conditions to ensure that the car refrigerator is always in the best working state.

[0003] In the prior art, the energy consumption evaluation of automobile refrigeration machines is often based on standard conditions, ignoring the impact of changes in the working environment (such as cooling water temperature and water quality) on energy consumption, resulting in inaccurate energy consumption predictions, as well as excessive use or improper maintenance of equipment; and the efficiency of solar panels is usually measured under ideal conditions, while in actual environments, dust accumulation will lead to a reduction in the amount of sunlight received by the panels, thereby reducing the power generation efficiency. This impact is often not fully considered, resulting in inaccurate power generation predictions and unreasonable maintenance strategies. Therefore, a solar power management and control system for automobile refrigeration machines is designed. Summary of the invention

[0004] The purpose of the present invention is to provide a solar power management and control system for an automobile refrigeration machine to solve the problem that the energy consumption assessment of the automobile refrigeration machine proposed in the above background technology ignores the impact of changes in the working environment on energy consumption and the efficiency prediction of the solar panel is inaccurate.

[0005] To achieve the above object, the present invention provides a solar power management and control system for an automobile refrigerator, comprising:

[0006] Energy collection unit: used to convert the solar energy generated by sunlight shining on the solar panel into electrical energy, and transmit the electrical energy to the regulation and conversion unit;

[0007] Energy storage unit: used to store electrical energy and release it when needed, and transmit the released electrical energy to the regulation and conversion unit;

[0008] Battery management system: The battery management system includes a monitoring module, a data analysis module and an abnormality detection module; the monitoring module is used to monitor the real-time information of the energy collection unit, the energy storage unit and the refrigeration unit; the data analysis module is used to analyze the real-time information monitored by the monitoring module, determine whether to call the electric energy of the energy storage unit, and transmit the analysis result to the regulation conversion unit; the abnormality detection module is used to detect the abnormal condition of the system according to the real-time information, and transmit the abnormal signal to the regulation conversion unit;

[0009] The data analysis module analyzes the real-time information monitored by the monitoring module to obtain the solar power generation in the energy collection unit and the energy consumed by the refrigeration equipment in the refrigeration unit;

[0010] And the dust shielding factor is introduced to optimize the process of obtaining the solar power generation in the energy collection unit;

[0011] In the process of obtaining the energy consumed by the refrigeration equipment in the refrigeration unit, the influencing factors of water temperature and water quality are introduced for optimization.

[0012] Regulation conversion unit: used to convert the electric energy transmitted from the energy collection unit and the energy storage unit into alternating current, transmit the alternating current to the refrigeration unit, and manage the energy flow from the energy collection unit and the energy storage unit to the refrigeration unit;

[0013] The regulation conversion unit includes a charge and discharge strategy adjustment module and a decision execution module;

[0014] Refrigeration unit: used to generate electrical energy for refrigeration equipment using the alternating current transmitted by the conditioning conversion unit.

[0015] As a further improvement of the technical solution, the energy collection unit converts the solar energy generated by the sun's rays shining on the solar panel into electrical energy using a maximum power point tracking algorithm. The specific method is as follows:

[0016] S1. Calculate the instantaneous output power of the solar panel:

[0017] P=V·I

[0018] Where, P is the instantaneous output power; V is the output voltage; I is the output current;

[0019] S2. Introduce the factors of illumination conditions and ambient temperature into the formula of instantaneous output power for optimization. The optimized expression is:

[0020] V'=V oc,ref (1-α T (TTref )+β G (GG ref ))

[0021] I'=I sc,ref (1+γ T (TT ref )+δ G (GG ref ))

[0022] P′=V′·I′

[0023] Where V' is the optimized output voltage; I' is the optimized output current; V oc,ref is the voltage under reference conditions; α T and γ T are temperature coefficients; T is the ambient temperature; T ref is the reference temperature; β G and δ G are the light intensity coefficients; G is the light intensity; G ref is the reference light intensity; I sc,ref is the current under reference conditions; P' is the instantaneous output power after optimization;

[0024] S3, by periodically fine-tuning the output voltage to track the MPP and adjust the power:

[0025] Assume the current power is P n =V n I n , the power after disturbance is P n+1 =V n+1 I n+1 , the perturbation step size is ΔV and ΔI, and the update rule is as follows:

[0026] If P n+1 >P n , then V n+1 =V n +ΔV and I n+1 =I n +ΔI;

[0027] If P n+1 <P n , then V n+1 =V n -ΔV and I n+1 =I n -ΔI.

[0028] As a further improvement of the present technical solution, the energy storage unit includes a power grid, a charger and a power battery, wherein the charger receives electric energy provided by the power grid and transmits the electric energy to the power battery, and the electric energy stored in the power battery is managed for charging and discharging through the strategy of the battery management system.

[0029] As a further improvement of the present technical solution, the monitoring module transmits the monitored data to the anomaly detection module, and the anomaly detection module transmits the detection result to the decision execution module.

[0030] As a further improvement of the technical solution, the load demand is obtained according to the solar power generation in the energy collection unit and the energy consumed by the refrigeration unit, and finally it is determined whether to call on the power battery energy, and the determination result is transmitted to the charge and discharge strategy adjustment module.

[0031] As a further improvement of the technical solution, the specific method of obtaining the solar power generation in the energy collection unit through the data of the monitoring module is as follows:

[0032]

[0033] Among them, E STC is the power generation of solar panels; P STC is the rated power of the solar panel; G is the amount of sunshine; G avg is the average sunshine intensity; η sys is the system efficiency; η temp is the temperature effect coefficient;

[0034] η temp =1-α T ×(T cell -T STC )

[0035] Among them, α T is the temperature coefficient of the solar panel; T cell is the actual operating temperature of the solar panel; T STC is the panel temperature under standard test conditions.

[0036] As a further improvement of the technical solution, the specific method of obtaining the energy consumed by the refrigeration equipment in the refrigeration unit through the data of the monitoring module is as follows:

[0037] E=P×T

[0038] Among them, E is the total energy consumption of the refrigeration equipment; P is the power of the refrigeration equipment; T is the operating time of the refrigeration equipment.

[0039] As a further improvement of the technical solution, the load demand is obtained according to the solar power generation and the energy consumed by the refrigeration equipment in the refrigeration unit, and finally the specific method of determining whether to call the power battery energy is as follows:

[0040] S4. Obtain the load demand of the refrigeration equipment in advance, and obtain the available energy stored in the power battery through the monitoring module;

[0041] S5. Based on the solar power generation E STC ', energy consumption of refrigeration unit E', electric energy stored in power battery E battery And the total energy consumption of other loads E other , make energy balance decisions:

[0042] E all =E′+E other

[0043] Among them, E all is total demand;

[0044] if:

[0045] E STC ′+E battery ≥E all

[0046] There is no need to call for additional energy from the power battery;

[0047] otherwise:

[0048] E draw =E all -E STC '

[0049] Among them, E draw The additional energy called from the power battery;

[0050] If E draw ≤E battery , energy can be called from the power battery; otherwise, the backup power supply is started.

[0051] As a further improvement of the present technical solution, the charging and discharging strategy adjustment module in the scheduling conversion unit is used to adjust the charging and discharging strategy of the energy storage unit according to the results of the data analysis module; the decision execution module is used to make corresponding decisions according to the results of the abnormality detection module.

[0052] As a further improvement of the technical solution, the dust shielding factor is introduced in the process of obtaining the solar power generation in the energy collection unit for optimization as follows:

[0053]

[0054] Among them, ηdust is the efficiency of the solar panel when it is blocked by dust during the test period; η0 is the efficiency of the solar panel when it is completely clean; D is the amount of dust accumulated during the test period; D max The maximum amount of dust accumulation that the solar panel can withstand; β is the exponential factor; E STC ' is the optimized solar panel power generation;

[0055] The optimization of introducing dust shielding factor in the process of obtaining solar power generation in the energy collection unit is as follows:

[0056]

[0057] Among them, E' is the total energy consumption of the optimized refrigeration equipment; Q is the cooling capacity; COP std is the standard efficiency of refrigeration equipment; f temp is the cooling water temperature adjustment coefficient; f water is the water quality adjustment factor.

[0058] Compared with the prior art, the present invention has the following beneficial effects:

[0059] 1. In this automobile refrigerator solar power management and control system, by introducing the dust shielding factor in the solar panel power generation, the actual power generation can be predicted more accurately, the impact of dust on the efficiency of the solar panel can be identified and quantified, prompting timely cleaning measures to reduce energy losses caused by dust coverage, and helping to formulate more reasonable maintenance cycles and cleaning strategies to ensure long-term stable operation of the system.

[0060] 2. In this automobile refrigeration machine solar power management and control system, the cooling water temperature and water quality adjustment coefficients are introduced into the energy consumption of the refrigeration equipment, which can perform more detailed energy consumption evaluation and optimization for the refrigeration equipment under different working conditions. By finely managing the operating status of the refrigeration equipment, it can reduce excessive work or unnecessary losses, extend the service life of the equipment, and reduce maintenance and replacement costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is the overall flow chart of the present invention;

[0062] Figure 2 is a schematic diagram of a battery management system in the present invention;

[0063] Figure 3 It is a schematic diagram of the regulating conversion unit in the present invention.

[0064] The meaning of each number in the figure is:

[0065] 1. Energy collection unit; 2. Energy storage unit; 3. Battery management system; 31. Monitoring module; 32. Data analysis module; 33. Abnormal detection module; 4. Regulation and conversion unit; 41. Charge and discharge strategy adjustment module; 42. Decision execution module; 5. Refrigeration unit. DETAILED DESCRIPTION

[0066] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0067] See also Figure 1-3 As shown, a car refrigerator solar power management and control system is provided, including an energy collection unit 1, an energy storage unit 2, a battery management system 3, a regulation and conversion unit 4 and a refrigeration unit 5;

[0068] The energy collection unit 1 is used to convert the solar energy generated by the sun's rays shining on the solar panel into electrical energy, and transmit the electrical energy to the regulation and conversion unit 4; the energy collection unit 1 converts the solar energy generated by the sun's rays shining on the solar panel into electrical energy using a maximum power point tracking algorithm, which can improve the energy conversion efficiency of the solar panel under changing lighting conditions. The specific method is as follows:

[0069] S1. Calculate the instantaneous output power of the solar panel:

[0070] P=V·I

[0071] Where P is the instantaneous output power; V is the output voltage; I is the output current; a 16-bit ADC is used to synchronously sample the voltage V and current I at a frequency of 10kHz, with a sampling time error of ≤1μs. Add an anti-aliasing filter: cutoff frequency f c =5kHz, stopband attenuation>40dB.

[0072] By measuring the voltage and current of the panel at any given moment, the panel's output power can be instantly calculated. This is the basis for evaluating panel efficiency and tracking the maximum power point.

[0073] Eliminate noise with Dynamic Noise Suppression:

[0074]

[0075] V k represents the original voltage value of the kth sampling, the original current value of the kth sampling. N is the sliding window length.

[0076] S2. Introduce the factors of illumination conditions and ambient temperature into the formula of instantaneous output power for optimization. The optimized expression is:

[0077] V'=V oc,ref (1-α T (TT ref )+β G (GG ref ))

[0078] I'=I sc,ref (1+γ T (TT ref )+δ G (GG ref ))

[0079] P′=V′·I′

[0080] Where V' is the optimized output voltage; I' is the optimized output current; V oc,ref is the voltage under reference conditions; α T and γ T are temperature coefficients, representing the percentage change of open circuit voltage and short circuit current per degree Celsius change; T is the ambient temperature; T ref is the reference temperature; β G and δ G are the light intensity coefficients, representing the percentage changes of open circuit voltage and short circuit current when the light intensity changes; G is the light intensity; G ref is the reference light intensity; I sc,ref is the current under reference conditions; P' is the instantaneous output power after optimization;

[0081] By monitoring the ambient temperature T and light intensity G in real time and substituting these data into the optimized power calculation formula, the MPPT algorithm can track the maximum power point more accurately, and the solar panel can maintain a near-optimal output state even when the light and temperature fluctuate; therefore, it can provide more stable power output under various conditions, thereby improving the overall energy conversion efficiency and system reliability.

[0082] At the same time, under high temperature conditions, unoptimized solar panels may reduce efficiency or even be damaged due to excessive temperature. Through temperature compensation, solar panels can maintain optimal working conditions at higher temperatures, reducing the risk of overheating.

[0083] In this embodiment, the power correction of light intensity and temperature coefficient can be introduced to replace linear compensation to solve the nonlinear response of silicon-based photovoltaic cells, as follows:

[0084]

[0085] Among them, the exponential terms 0.8 and 1.2 are the nonlinear response characteristics of silicon-based photovoltaic cells.

[0086] S3. Tracking the MPP by periodically fine-tuning the output voltage. The power regulation is based on the perturbation observation method. The perturbation observation method is one of the most common MPPT algorithms. Its working principle is to track the MPP by periodically changing the output voltage of the solar panel (or equivalently, changing the duty cycle of the DC-DC converter) and observing the changes in the output power:

[0087] Assume the current power is P n =V n I n , the power after disturbance is P n+1 =V n+1 I n+1 , the perturbation step size is ΔV and ΔI, and the update rule is as follows:

[0088] If P n+1 >P n , then V n+1 =V n +ΔV and I n+1 =I n +ΔI;

[0089] If P n+1 <P n , then V n+1 =V n -ΔV and I n+1 =I n -ΔI.

[0090] This means that if the power increases after the disturbance, it means that the MPP is in the direction of the disturbance, so the algorithm will continue to adjust the voltage in the same direction; if the power decreases after the disturbance, it means that the MPP is in the opposite direction, and the algorithm will adjust the voltage in the opposite direction;

[0091] In this way, the perturbation and observation method can dynamically adjust the operating point of the solar panel to track the changing MPP.

[0092] The energy storage unit 2 is used to store electrical energy and release it when needed, and transmit the released electrical energy to the regulation and conversion unit 4; the energy storage unit 2 includes a power grid, a charger and a power battery, wherein the charger receives the electrical energy provided by the power grid and transmits the electrical energy to the power battery, and the electrical energy stored in the power battery is managed for charge and discharge through the strategy of the battery management system 3.

[0093] Through the coordinated work of the above components, the energy storage unit can efficiently and safely store and provide electrical energy to meet the power needs of electric vehicles. At the same time, the battery management system ensures that the power battery maintains good performance and safety throughout its life cycle through sophisticated management and control.

[0094] The battery management system 3 is used to monitor and manage the status of the energy collection unit 1 and the energy storage unit 2; by monitoring the current and voltage generated by the solar panel in the energy collection unit 1, the actual energy generated can be calculated, and the abnormal conditions of the solar panel, such as line disconnection, short circuit or performance degradation, can be identified, and the problem can be reported in time for maintenance; although the MPPT function is usually implemented by a dedicated solar controller, an advanced BMS may also integrate this function to ensure that the solar panel can output maximum power under any lighting conditions;

[0095] Monitoring the voltage, current, temperature and state of charge (SOC) of the power battery in the energy storage unit 2 can ensure that the battery operates within a safe range. Since there may be differences between the single cells in the battery pack, the BMS will perform battery balancing to ensure that the SOC and voltage of all battery cells are close to each other, thereby extending the overall life of the battery. The BMS can also control the charging and discharging process of the battery to avoid overcharging or over-discharging, which is very important for protecting the health of the battery and extending its life; it can identify potential dangers, such as over-temperature, over-voltage, under-voltage, etc., and take timely measures, such as cutting off the circuit, to prevent accidents such as battery damage or fire;

[0096] The battery management system 3 includes a monitoring module 31, a data analysis module 32 and an abnormality detection module 33;

[0097] The monitoring module 31 is used to monitor the real-time information of the energy collection unit 1, the energy storage unit 2 and the refrigeration unit 5; the monitoring module 31 transmits the monitored data to the abnormality detection module 33, and the abnormality detection module 33 transmits the detection result to the decision execution module 42;

[0098] Furthermore, the data analysis module 32 is used to analyze the real-time information monitored by the monitoring module 31, determine whether to call the electric energy of the energy storage unit 2, and transmit the analysis result to the regulation and conversion unit 4; specifically, the data analysis module 32 can obtain the solar power generation in the energy collection unit 1 and the energy consumed by the refrigeration equipment in the refrigeration unit 5 according to the data of the monitoring module 31, and then obtain the load demand according to the solar power generation in the energy collection unit 1 and the energy consumed by the refrigeration unit 5, and finally determine whether to call the power battery energy, and transmit the judgment result to the charge and discharge strategy adjustment module 41.

[0099] The specific method of obtaining the solar power generation in the energy collection unit 1 through the data of the monitoring module 31 is as follows:

[0100]

[0101] Among them, E STC is the power generation of solar panels; P STCis the rated power of the solar panel, i.e. the peak power under standard test conditions; G is the amount of sunshine; G avg is the average sunshine intensity; η sys is the system efficiency, including inverter efficiency, cable loss, solar panel temperature effect, etc., generally between 0.8 and 0.9; η temp is the temperature effect coefficient;

[0102] η temp =1-α T ×(T cell -T STC )

[0103] Among them, α T T is the temperature coefficient of the solar panel, usually -0.0045 to -0.0050, indicating the percentage of solar panel output power decrease for every 1 degree Celsius increase in temperature; cell is the actual operating temperature of the solar panel; T STC is the panel temperature under standard test conditions;

[0104] The dust blocking factor is optimized in the formula for solar panel power generation, because dust accumulated on the surface of the panel will block sunlight and reduce power generation efficiency. The optimized expression is:

[0105]

[0106] Among them, η dust is the efficiency of the solar panel when it is blocked by dust during the test period; η0 is the efficiency of the solar panel when it is completely clean; D is the amount of dust accumulated during the test period; D max The maximum amount of dust accumulation that the solar panel can withstand; β is the exponential factor; E STC ' is the optimized power generation of solar panels.

[0107] D is the dust accumulation during the test period, which is a function of time and is affected by environmental factors. For example, high wind speed helps blow away dust and reduce the accumulation rate; rain can directly clean the panels, significantly reducing the amount of dust; under high humidity conditions, particles in the air are more likely to adhere, increasing the accumulation rate; temperature may affect wind speed and humidity, indirectly affecting dust accumulation. Specifically, the calculation method of D is: Among them, k0 is the basic accumulation rate coefficient, k1 is the humidity enhancement factor (H is the relative humidity), cosθ is the solar altitude angle correction term, and k2v γ is the wind speed clearance term (v is the wind speed, γ is the nonlinear index); k3R δ is the rainfall cleaning term (R is the rainfall intensity, δ is the threshold response coefficient).

[0108] The cleaning process can be regarded as the sudden removal of dust, but its effect may not be an immediate recovery to a completely clean state. For example, assume that after each cleaning, the efficiency of the solar panel is restored to α times the initial state, where α can be a constant less than 1, representing the recovery ratio of the efficiency after cleaning. This embodiment uses the random process equation of the cleaning process to perform an instantaneous correction on the dust accumulation at time t:

[0109]

[0110] When the cleaning operation occurs at time t, the amount of dust changes suddenly from D(t-) (before cleaning) to D(t+) (after cleaning).

[0111] In this embodiment, in order to ensure the accuracy and robustness of the comprehensive parameters, the following final equation is used to implement:

[0112]

[0113] Among them, the irradiance is first corrected in time and space to obtain G eff , G eff =G·cosθ·(1-k s S)·e -αAM , S is the shadow coverage, AM is the atmospheric mass number, and α is the atmospheric attenuation coefficient. sys Decomposition Modeling: Among them, η inv Represents the inverter efficiency curve, η cable represents the cable loss, η mismatch Represents mismatch loss.

[0114]

[0115] a0 represents the inverter efficiency constant term (efficiency at zero load); a1 represents the inverter efficiency first-order coefficient (load linear influence term); a2 represents the inverter efficiency second-order coefficient (load nonlinear influence term). P is the real-time output power, P rated is the rated power of the inverter. c represents the cable loss factor, I and R are the current and resistance of the cable respectively. Δt is the time interval. σ(V oc ) represents the standard deviation of the open-circuit voltage of the solar panels in the string, μ(V oc ) represents the average open-circuit voltage of the solar panels in the string, V oc Indicates the open circuit voltage of the solar panel.

[0116] This embodiment constructs a dynamic coupling calculation system, which is expanded into an integral equation for multi-physical field coupling by introducing an environmental interaction mechanism and a time-varying correction factor.

[0117] The specific method of obtaining the energy consumed by the refrigeration equipment in the refrigeration unit 5 through the data of the monitoring module 31 is as follows:

[0118] E=P×T

[0119] Among them, E is the total energy consumption of the refrigeration equipment; P is the power of the refrigeration equipment; T is the operating time of the refrigeration equipment;

[0120] The influencing factors of water temperature and water quality are introduced into the calculation formula of the total energy consumption of the refrigeration equipment for optimization. The optimized influencing factors are:

[0121]

[0122] Among them, E' is the total energy consumption of the optimized refrigeration equipment; Q is the cooling capacity; COP std is the standard efficiency of refrigeration equipment; f temp is the cooling water temperature adjustment coefficient; f water is the water quality adjustment factor.

[0123] The cooling water temperature has a great influence on the efficiency of the chiller, especially on the heat exchange efficiency of the condenser. Generally speaking, the higher the cooling water temperature, the lower the efficiency of the chiller, because the compressor needs to do more work to compress the refrigerant, resulting in a decrease in COP or EER; the effect of water quality on chiller efficiency is mainly through affecting the heat transfer coefficient of the heat exchanger. Poor water quality (such as high hardness, high impurity content) will cause scaling of the heat exchanger and reduce the heat exchange efficiency.

[0124] When used, the following real-time data streams are collected in conjunction with the IoT sensor network:

[0125] Data Dimensions Sampling frequency Accuracy requirements Component temperature 1Hz ±0.5℃ Dust thickness 10min 10μm Wind speed 5Hz 0.1m / s Relative humidity 1min 1%RH Tilt irradiation 1Hz <![CDATA[5W / m 2 ]]>

[0126] The specific method of obtaining the load demand based on the solar power generation and the energy consumed by the refrigeration equipment in the refrigeration unit 5 and finally determining whether to call the power battery energy is as follows:

[0127] S4, obtaining the load demand of the refrigeration equipment in advance, and obtaining the available energy stored in the power battery through the monitoring module 31;

[0128] S5. Based on the solar power generation E STC ', energy consumption of refrigeration unit E', electric energy stored in power battery E battery And the total energy consumption of other loads E other , make energy balance decisions:

[0129] E all =E′+E other

[0130] Among them, E all is total demand;

[0131] if:

[0132] E STC ′+E battery ≥E all

[0133] There is no need to call for additional energy from the power battery;

[0134] otherwise:

[0135] E draw =E all -E STC '

[0136] Among them, E draw The additional energy called from the power battery;

[0137] If E draw ≤E battery , energy can be called from the power battery; otherwise, the backup power supply is started.

[0138] In summary, if the solar power generation plus the current state of the battery is sufficient to cover all loads, including the refrigeration unit, there is no need to call on the power battery;

[0139] If the solar power generation is not enough to cover all the loads, the system will evaluate the battery status and if there is enough remaining energy in the battery, the system will call energy from the battery to make up the difference;

[0140] If the battery energy is also insufficient, it may be necessary to start a backup power source (such as a diesel generator) or reduce non-critical loads to avoid overloading the system.

[0141] By monitoring solar power generation and load demand in real time, the system can dynamically adjust the distribution of energy to ensure that clean solar energy resources are used first, and battery reserves or backup power are used only when solar energy is insufficient to meet demand; through precise calculation, unnecessary battery charge and discharge cycles are avoided, thereby extending the battery life. Excessive discharge or frequent charge and discharge will cause damage to battery health; when solar power generation suddenly drops (for example, due to cloud cover), energy can be quickly called from the battery to ensure stable operation of the system and improve the reliability and safety of the overall system.

[0142] The abnormality detection module 33 is used to detect abnormal conditions of the system according to real-time information and transmit abnormal signals to the regulation and conversion unit 4 .

[0143] The regulating conversion unit 4 is used to convert the electric energy transmitted from the energy collection unit 1 and the energy storage unit 2 into alternating current, transmit the alternating current to the refrigeration unit 5, and manage the energy flow from the energy collection unit 1 and the energy storage unit 2 to the refrigeration unit 5;

[0144] The regulation conversion unit 4 includes a charge and discharge strategy adjustment module 41 and a decision execution module 42; the charge and discharge strategy adjustment module 41 is used to adjust the charge and discharge strategy of the energy storage unit 2 according to the result of the data analysis module 32; the decision execution module 42 is used to make corresponding decisions according to the result of the abnormality detection module 33

[0145] The refrigeration unit 5 is used to utilize the alternating current transmitted by the conditioning conversion unit 4 to enable the refrigeration equipment to generate electric energy.

[0146] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention, and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A solar power management and control system for automobile refrigerators, characterized in that: include: Energy collection unit (1): used for converting solar energy generated by sunlight shining on the solar panel into electrical energy, and transmitting the electrical energy to the regulation and conversion unit (4); Energy storage unit (2): used for storing electric energy and releasing it when needed, and transmitting the released electric energy to the regulating and converting unit (4); A battery management system (3): the battery management system (3) comprises a monitoring module (31), a data analysis module (32) and an abnormality detection module (33); the monitoring module (31) is used to monitor the real-time information of the energy collection unit (1), the energy storage unit (2) and the refrigeration unit (5); the data analysis module (32) is used to analyze the real-time information monitored by the monitoring module (31), determine whether to call the electric energy of the energy storage unit (2), and transmit the analysis result to the regulation conversion unit (4); the abnormality detection module (33) is used to detect the abnormal condition of the system according to the real-time information, and transmit the abnormal signal to the regulation conversion unit (4); The data analysis module (32) analyzes the real-time information monitored by the monitoring module (31) to obtain the solar power generation in the energy collection unit (1) and the energy consumed by the refrigeration equipment in the refrigeration unit (5); And in the process of obtaining the solar power generation in the energy collection unit (1), a dust shielding factor is introduced for optimization; In the process of obtaining the energy consumed by the refrigeration equipment in the refrigeration unit (5), the influencing factors of water temperature and water quality are introduced for optimization.

2. The automobile refrigeration machine solar power management and control system according to claim 1, characterized in that: The energy collection unit (1) converts the solar energy generated by the sun's rays shining on the solar panel into electrical energy using a maximum power point tracking algorithm, and the specific method is as follows: S1. Calculate the instantaneous output power of the solar panel: P=V·I Among them, P is the instantaneous output power; V is the output voltage; I is the output current; S2. Introduce the factors of illumination conditions and ambient temperature into the formula of instantaneous output power for optimization. The optimized expression is: V'=V oc,ref (1-α T (T-T ref )+β G (G-G ref )) I'=I sc,ref (1+γ T (T-T ref )+δ G (G-G ref )) P′=V′·I′ Where V' is the optimized output voltage; I' is the optimized output current; V oc,ref is the voltage under reference conditions; α T and γ T are temperature coefficients; T is the ambient temperature; T ref is the reference temperature; β G and δ G are the light intensity coefficients; G is the light intensity; G ref is the reference light intensity; I sc,ref is the current under reference conditions; P' is the instantaneous output power after optimization; S3, by periodically fine-tuning the output voltage to track the MPP and adjust the power: Assume the current power is P n =V n I n , the power after disturbance is P n+1 =V n+1 I n+1 , the perturbation step size is ΔV and ΔI, and the update rule is as follows: If P n+1 >P n , then V n+1 =V n +ΔV and I n+1 =I n +ΔI; If P n+1 <P n , then V n+1 =V n -ΔV and I n+1 =I n -ΔI.

3. The automobile refrigeration machine solar power management and control system according to claim 2, characterized in that: It also includes a regulating conversion unit (4): used to convert the electric energy transmitted from the energy collection unit (1) and the energy storage unit (2) into alternating current, transmit the alternating current to the refrigeration unit (5), and manage the energy flow from the energy collection unit (1) and the energy storage unit (2) to the refrigeration unit (5); The regulating and converting unit (4) comprises a charging and discharging strategy adjusting module (41) and a decision execution module (42); Refrigeration unit (5): used to utilize the alternating current transmitted by the conditioning conversion unit (4) to enable the refrigeration equipment to generate electric energy; The energy storage unit (2) comprises a power grid, a charger and a power battery, wherein the charger receives electric energy provided by the power grid and transmits the electric energy to the power battery, and the electric energy stored in the power battery is managed for charge and discharge through the strategy of the battery management system (3).

4. The automobile refrigeration machine solar power management and control system according to claim 3, characterized in that: The monitoring module (31) transmits the monitored data to the abnormality detection module (33), and the abnormality detection module (33) transmits the detection result to the decision execution module (42).

5. The automobile refrigeration machine solar power management and control system according to claim 4, characterized in that: The load demand is obtained based on the solar power generation in the energy collection unit (1) and the energy consumed by the refrigeration unit (5), and finally a determination is made as to whether to call on the power battery energy, and the determination result is transmitted to the charge and discharge strategy adjustment module (41).

6. The automobile refrigeration machine solar power management and control system according to claim 5, characterized in that: The specific method for obtaining the solar power generation amount in the energy collection unit (1) through the data of the monitoring module (31) is as follows: Among them, E STC is the power generation of solar panels; P STC is the rated power of the solar panel; G is the amount of sunshine; G avg is the average sunshine intensity; η sys is the system efficiency; η temp is the temperature effect coefficient; or temp =1-a T ×(T cel lT STC ) Among them, α T is the temperature coefficient of the solar panel; T cell is the actual operating temperature of the solar panel; T STC is the panel temperature under standard test conditions.

7. The automobile refrigerator solar power management and control system according to claim 6, characterized in that: The specific method for obtaining the energy consumed by the refrigeration equipment in the refrigeration unit (5) through the data of the monitoring module (31) is as follows: E=P×T Among them, E is the total energy consumption of the refrigeration equipment; P is the power of the refrigeration equipment; T is the operating time of the refrigeration equipment.

8. The automobile refrigeration machine solar power management and control system according to claim 7, characterized in that: The specific method of obtaining the load demand based on the solar power generation in the energy collection unit (1) and the energy consumed by the refrigeration equipment in the refrigeration unit (5) and finally determining whether to call the power battery energy is as follows: S4, obtaining the load demand of the refrigeration equipment in advance, and obtaining the available energy stored in the power battery through the monitoring module (31); S5. Based on the solar power generation E STC ', energy consumption of refrigeration unit E', electric energy stored in power battery E battery And the total energy consumption of other loads E other , make energy balance decisions: AND all =E′+E other Among them, E all is total demand; if: AND STC ′+E battery ≥E all There is no need to call for additional energy from the power battery; otherwise: AND draw =And all -AND STC ′ Among them, E draw The additional energy called from the power battery; If E draw ≤E battery , energy can be called from the power battery; otherwise, the backup power supply is started.

9. The automobile refrigeration machine solar power management and control system according to claim 8, characterized in that: The charging and discharging strategy adjustment module (41) in the scheduling conversion unit (4) is used to adjust the charging and discharging strategy of the energy storage unit (2) according to the result of the data analysis module (32); and the decision execution module (42) is used to make a corresponding decision according to the result of the abnormality detection module (33).

10. The automobile refrigeration machine solar power management and control system according to claim 9, characterized in that: The specific optimization of introducing dust shielding factors in the process of obtaining solar power generation in the energy collection unit (1) is as follows: Among them, η dust is the efficiency of the solar panel when it is blocked by dust during the test period; η0 is the efficiency of the solar panel when it is completely clean; D is the dust accumulation during the test period; Dmax is the maximum dust accumulation that the panel can withstand; β is the exponential factor; ESTC' is the power generation of the optimized solar panel; The specific optimization of introducing dust shielding factors in the process of obtaining solar power generation in the energy collection unit (1) is as follows: Among them, E' is the total energy consumption of the optimized refrigeration equipment; Q is the cooling capacity; COPstd is the standard efficiency of the refrigeration equipment; ftemp is the cooling water temperature adjustment coefficient; fwater is the water quality adjustment coefficient.

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