Integrated Photovoltaic, Energy Storage and Charging Intelligent Charging System for Electric Vehicles

Abstract

The present invention provides an integrated photovoltaic energy storage and charging intelligent charging system for electric vehicles, belonging to the technical field of intelligent charging systems. By integrating photovoltaic modules, energy storage modules and charging pile modules, the present invention realizes the efficient utilization of clean energy, reduces the dependence on the traditional power grid, reduces carbon emissions, and is beneficial to environmental protection. Moreover, a voltage rectification and conversion module is provided in the integrated photovoltaic energy storage and charging intelligent charging system for electric vehicles provided in this application, which can convert the AC 10 kV voltage of the power grid into an AC 800 V voltage to supply power to the charging pile module, so that the charging pile module can output a DC voltage of 50 to 1000 V for rapid charging of the vehicle, and has the following advantages: it can improve the charging efficiency, reduce the number of transformers used, reduce the wire diameter of the power supply cable of the charging pile, save land resources, and reduce the power loss of electric energy conversion.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent charging systems for electric vehicles, and more specifically, to an integrated photovoltaic, energy storage and charging intelligent charging system for electric vehicles. Background Art

[0002] At present, an integrated photovoltaic, energy storage and charging system is a system that integrates photovoltaic power generation, an energy storage system and a charging pile. On the one hand, this integrated photovoltaic, energy storage and charging system can convert solar energy into electrical energy and store the electrical energy in the energy storage system. The energy storage system stores excess electrical energy and can supply power to the charging pile when needed to ensure normal vehicle charging. On the other hand, the power grid can also supply power to the charging pile to ensure normal vehicle charging.

[0003] However, the power supply voltage and output voltage of existing charging piles are generally low, mostly 380V AC, which makes vehicle charging slower, and the cable wire diameter is larger and there are more power supply transformers, resulting in waste of land resources, non-ferrous metals and electrical energy. Summary of the Invention

[0004] The present invention provides an integrated photovoltaic, energy storage and charging intelligent charging system for electric vehicles, and the system includes:

[0005] A photovoltaic module, a first voltage conversion module, a second voltage conversion module, a charging pile module, an energy storage module and a control module; the energy storage module includes a plurality of battery units connected in parallel;

[0006] The photovoltaic module, the first voltage conversion module, the energy storage module and the charging pile module are connected;

[0007] The power grid is connected to the charging pile module through the second voltage conversion module; the first voltage conversion module, the second voltage conversion module, the plurality of battery units and the charging pile module are all controlled by the control module;

[0008] The control module includes a power supply switching unit and a sleep control unit;

[0009] The power supply switching unit is used to control the second voltage conversion module to start working when the stored power of the energy storage module is lower than the threshold power, so that the power grid supplies power to the charging pile;

[0010] The sleep control unit is used to select a target control strategy from multiple battery control strategies according to the load of the charging pile module when the stored power of the energy storage module is lower than the threshold power, and control the state of each battery unit according to the target control strategy, where the state of each battery unit includes a sleep state and a working state.

[0011] In some embodiments, the second voltage conversion module includes a first AC / DC unit and a first DC / AC unit connected in sequence;

[0012] The charging pile module includes a second AC / DC unit, a first DC / DC unit, and a second DC / DC unit connected in sequence;

[0013] The integrated intelligent charging system for electric vehicle light storage and charging further includes a first switch S1; the first switch S1 is controlled by the control module, and the first switch S1 is a normally open switch;

[0014] The first AC / DC unit is connected to the input end of the DC / DC unit through the first switch S1;

[0015] The output voltage of the first AC / DC unit is the same as the output voltage of the second AC / DC unit, and the output voltage of the first DC / AC unit is the same as the output voltage of the second DC / DC unit;

[0016] The control module is further configured to control the first switch S1 to close when the first DC / AC unit or the second AC / DC unit fails, so that the first AC / DC unit supplies power to the DC / DC unit.

[0017] In some embodiments, the DC / DC unit in the charging pile module includes: a first MOS transistor Q01, a second MOS transistor Q02, a third MOS transistor Q03, a fourth MOS transistor Q04, a fifth MOS transistor Q11, a sixth MOS transistor Q12, a seventh MOS transistor Q13, an eighth MOS transistor Q14, a first energy storage capacitor C01, a filter capacitor C02, a second energy storage capacitor C03, a resonant inductor L01, a filter inductor L02, and a transformer B1;

[0018] For the first MOS transistor Q01, the source is respectively connected to the drain of the second MOS transistor Q02 and the first end of the filter capacitor C02, and the drain is respectively connected to the drain of the fourth MOS transistor Q04, the first end of the first energy storage capacitor C01, and the input / output positive electrode V1+ of the second AC / DC unit;

[0019] For the second MOS transistor Q02, the source is respectively connected to the source of the third MOS transistor Q03, the second end of the first energy storage capacitor C01, and the output negative electrode V1- of the second AC / DC unit;

[0020] For the third MOS transistor Q03, the drain is respectively connected to the source of the fourth MOS transistor Q04 and the second end of the primary side of the transformer B1;

[0021] Transformer B1, the first end of the primary side is connected to the second end of the resonant inductor L01, the first end of the secondary side is respectively connected to the source of the fifth MOS transistor Q11 and the drain of the sixth MOS transistor Q12, and the second end of the secondary side is respectively connected to the drain of the seventh MOS transistor Q13 and the source of the eighth MOS transistor Q14;

[0022] The fifth MOS transistor Q11, the drain is respectively connected to the drain of the eighth MOS transistor Q14 and the first end of the filter inductor L02;

[0023] The sixth MOS transistor Q12, the source is respectively connected to the source of the seventh MOS transistor Q13, the second end of the second energy storage capacitor C03, and the input negative terminal V- of the second DC / DC unit;

[0024] The second end of the filter capacitor C02 is connected to the first end of the resonant inductor L01; the second end of the filter inductor L02 is respectively connected to the first end of the second energy storage capacitor C03 and the input positive terminal V2+ of the second DC / DC unit.

[0025] In some embodiments, the input voltage of the first AC / DC is 10 kVAC, the output voltage of the first DC / AC unit is 800 VAC, and the output voltage of the second DC / DC unit is 50~1000 VDC.

[0026] In some embodiments, the first voltage conversion module includes a plurality of first voltage conversion units; the plurality of first voltage conversion units are controlled by the control module; each first voltage conversion unit is connected between the photovoltaic module and a battery unit;

[0027] The control module further includes a photovoltaic control unit;

[0028] The photovoltaic control unit is used to control the states of the respective first voltage conversion units according to the operating state of the photovoltaic module, wherein the state of each first voltage conversion unit includes a sleep state and a working state.

[0029] In some embodiments, each battery unit is connected between a first voltage conversion unit and the charging pile module.

[0030] In some embodiments, the charging pile module includes a plurality of charging piles;

[0031] Each charging pile is connected to different numbers of energy storage batteries;

[0032] The control module further includes a charging control unit;

[0033] The charging control unit is used to control the output states of the plurality of energy storage batteries corresponding to the charging pile according to the load of each charging pile.

[0034] In some embodiments, the integrated photovoltaic energy storage and charging intelligent charging system for electric vehicles further includes a first voltage compensation module and a second voltage compensation module;

[0035] The first voltage compensation module is connected between the first voltage conversion module and the energy storage module;

[0036] The second voltage compensation module is connected between the second voltage conversion module and the charging pile module;

[0037] Both the first voltage compensation module and the second voltage compensation module are controlled by the control module;

[0038] The control module further includes a compensation control unit;

[0039] The compensation control unit is configured to control the working state of the first voltage compensation module according to the output voltage of the first voltage conversion module, and control the working state of the second voltage compensation module according to the output voltage of the second voltage conversion module; wherein the first voltage conversion module and the second voltage compensation module do not work simultaneously, and the compensation voltage value of the first voltage compensation module is greater than the compensation voltage value of the second voltage compensation module.

[0040] In some embodiments, the integrated photovoltaic energy storage and charging intelligent charging system for electric vehicles further includes an environment monitoring module;

[0041] The environment monitoring module is connected to the control module, and the environment monitoring module is configured to monitor the environmental information of the photovoltaic module and send the environmental information to the control module.

[0042] In some embodiments, the environment monitoring module of the integrated photovoltaic energy storage and charging intelligent charging system for electric vehicles includes a light sensor, a temperature sensor and a communication unit;

[0043] Both the light sensor and the temperature sensor are connected to the communication unit, and the communication unit is communicatively connected to the control module.

[0044] By integrating the photovoltaic module, the energy storage module and the charging pile module, the present application realizes the efficient utilization of clean energy, reduces the dependence on the traditional power grid, reduces carbon emissions, and is beneficial to environmental protection. In addition, the integrated photovoltaic energy storage and charging intelligent charging system provided by the present application is provided with a voltage rectification and conversion module, which can convert the AC 10 kV voltage of the power grid into an AC 800 V voltage to supply power to the charging pile module, so that the charging pile module can output a DC 50 - 1000 V to quickly charge the vehicle, and has the following advantages: it can improve the charging efficiency. Reduce the number of transformers used. Reduce the wire diameter of the charging pile power supply cable. Save land resources. Reduce the power loss of power conversion BRIEF DESCRIPTION OF THE DRAWINGS

[0045] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features, and advantages of the exemplary embodiments of the present invention will become readily understood. In the drawings, several embodiments of the present invention are shown by way of illustration and not limitation, wherein:

[0046] Figure 1 FIG. is a schematic structural diagram of an integrated photovoltaic energy storage charging intelligent charging system for electric vehicles provided by an embodiment of the present invention;

[0047] Figure 2 FIG. is a schematic structural diagram of an integrated photovoltaic energy storage charging intelligent charging system for electric vehicles provided by another embodiment of the present invention;

[0048] Figure 3 FIG. is a schematic circuit structure diagram of a DC / DC unit provided by an embodiment of the present invention. Detailed Embodiments

[0049] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and thereby implement the present invention, and not to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0050] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0051] Reference is made below to Figure 1 , Figure 1 FIG. is a schematic structural diagram of an integrated photovoltaic energy storage charging intelligent charging system for electric vehicles provided by an embodiment of the present invention. As shown in Figure 1 , the integrated photovoltaic energy storage charging intelligent charging system for electric vehicles includes: a photovoltaic module, a first voltage conversion module, a second voltage conversion module, a charging pile module, an energy storage module, and a control module; the energy storage module includes a plurality of battery units connected in parallel;

[0052] The photovoltaic module, the first voltage conversion module, the energy storage module, and the charging pile module are connected;

[0053] The power grid is connected to the charging pile module through the second voltage conversion module; the first voltage conversion module, the second voltage conversion module, the plurality of battery units, and the charging pile module are all controlled by the control module;

[0054] The control module includes a power supply switching unit and a sleep control unit;

[0055] The power supply switching unit is used to control the second voltage conversion module to start working when the stored power of the energy storage module is lower than the threshold power, so that the power grid supplies power to the charging pile.

[0056] The sleep control unit is used to select a target control strategy from multiple battery control strategies according to the load of the charging pile module when the stored power of the energy storage module is lower than the threshold power, and control the state of each battery unit according to the target control strategy. The state of each battery unit includes a sleep state and a working state.

[0057] In an embodiment of the present application, the second voltage conversion module is used to convert the 10kVAC of the power grid into 800VAC to supply power to the charging pile module. The charging pile module may include multiple charging piles, and each charging pile may convert 800VAC into 50~1000VDC to charge the vehicle.

[0058] Compared with the 380V or 220V charging piles, the present application can ensure a small line pressure while enabling the vehicle to charge quickly and improving the charging efficiency.

[0059] Optionally, the multiple battery control strategies may include a first battery control strategy, a second battery control strategy, and a third battery control strategy.

[0060] The first battery control strategy is a strategy for controlling a first number of battery units to sleep. The second battery control strategy is a strategy for controlling a second number of battery units to sleep. The third battery control strategy is a strategy for controlling a third number of battery units to sleep. Among them, the first number is less than the second number, and the second number is less than the third number.

[0061] Specifically, when the stored power of the energy storage module is lower than the threshold power, the target control strategy can be determined according to the load of the charging pile module.

[0062] When the load is greater than or equal to the first load, the first battery control strategy is selected as the target control strategy. When the stored power is less than the first load and greater than or equal to the second load, the second battery control strategy is selected as the target control strategy. When the stored power is less than the second load, the third battery control strategy is selected as the target control strategy.

[0063] In the integrated intelligent charging system for electric vehicles with photovoltaics, energy storage, and charging provided by the embodiment of the present application, a second voltage conversion module is provided, which can convert the 10kVAC voltage of the power grid into 800VAC voltage to supply power to the charging pile module, so that the charging pile module can output 50~1000VDC to charge the vehicle quickly, and the charging efficiency can be improved.

[0064] In this embodiment, by setting different numbers of battery units to go into sleep mode, it is possible to more flexibly respond to different power levels and load conditions, improving the adaptability and stability of the system. Secondly, by real-time selecting the most suitable battery control strategy according to the load of the charging pile module, the charge and discharge states of the battery units can be more effectively managed, avoiding over-discharge or over-charging, thereby extending the service life of the battery. Finally, this strategy helps to optimize the energy consumption of the system, improve energy utilization efficiency, and reduce operating costs.

[0065] Figure 2 is a schematic structural diagram of an integrated photovoltaic energy storage and charging intelligent charging system for electric vehicles provided by another embodiment of the present invention, as Figure 2 shown, in the embodiment of the present application, the second voltage conversion module includes a first AC / DC unit and a first DC / AC unit connected in sequence;

[0066] The charging pile module includes a second AC / DC unit, a first DC / DC unit, and a second DC / DC unit connected in sequence;

[0067] The integrated photovoltaic energy storage and charging intelligent charging system for electric vehicles further includes a first switch S1; the first switch S1 is controlled by the control module, and the first switch S1 is a normally open switch;

[0068] The first AC / DC unit is connected to the input end of the DC / DC unit through the first switch S1;

[0069] The output voltage of the first AC / DC unit is the same as the output voltage of the second AC / DC unit, and the output voltage of the first DC / AC unit is the same as the output voltage of the second DC / DC unit;

[0070] The control module is further configured to control the first switch S1 to close when the first DC / AC unit or the second AC / DC unit fails, so that the first AC / DC unit supplies power to the DC / DC unit.

[0071] Optionally, the input voltage of the first AC / DC is 10 kVAC, the output voltage of the first DC / AC unit is 800 VAC, and the output voltage of the second DC / DC unit is 800 VAC.

[0072] In this embodiment, the first AC / DC unit, the first DC / AC unit, the DC / DC unit, the second DC / DC unit, and the second AC / DC unit can all be controlled by the control module. The control module can monitor the working states of the first AC / DC unit, the first DC / AC unit, the DC / DC unit, the second DC / DC unit, and the second AC / DC unit.

[0073] Optionally, when the control module detects a failure of the first DC / AC unit and / or the second AC / DC unit and other voltage conversion units are normal, it can control the first switch S1 to close.

[0074] At this time, the charging circuit of the charging pile is: power grid → first AC / DC unit → first switch S1 → DC / DC unit → second DC / DC unit → vehicle.

[0075] Through certain fault detection and switch switching strategies, the embodiments of the present application can ensure the reliable operation of the charging pile, ensure that the vehicle can be quickly and efficiently charged with 50-1000VDC, and improve the user experience.

[0076] Since the DC / DC unit in the charging pile module can still operate independently when the first switch S1 is closed, and the impact on vehicle charging is small, the first preset duration can be slightly longer.

[0077] As Figure 2 shown, in the embodiments of the present application, the first voltage conversion module may include a third DC / AC unit and a third AC / DC unit connected in sequence. The integrated photovoltaic energy storage charging system for electric vehicles may further include a third switch S3. The third switch S3 is connected between the output end of the third AC / DC unit and the input end of the DC / DC unit. The third switch S3 is controlled by the control module. The output voltage of the third AC / DC unit is the same as the output voltage of the energy storage module.

[0078] The control module is further configured to control the third switch S3 to close when the energy storage module fails, so that the photovoltaic module can directly supply power to the charging pile module.

[0079] Optionally, after the control module controls the third switch S3 to close for a third preset duration, it can control the third switch S3 to open. The third preset duration is greater than the first preset duration.

[0080] Figure 3 is a schematic circuit diagram of the DC / DC unit provided by an embodiment of the present invention. As Figure 3 shown, in the embodiments of the present application, the DC / DC unit in the charging pile module includes: a first MOS transistor Q01, a second MOS transistor Q02, a third MOS transistor Q03, a fourth MOS transistor Q04, a fifth MOS transistor Q11, a sixth MOS transistor Q12, a seventh MOS transistor Q13, an eighth MOS transistor Q14, a first energy storage capacitor C01, a filter capacitor C02, a second energy storage capacitor C03, a resonant inductor L01, a filter inductor L02, and a transformer B1;

[0081] The source of the first MOS transistor Q01 is respectively connected to the drain of the second MOS transistor Q02 and the first terminal of the filter capacitor C02, and the drain is respectively connected to the drain of the fourth MOS transistor Q04, the first terminal of the first energy storage capacitor C01, and the input / output terminal V1+ of the second AC / DC unit;

[0082] The source of the second MOS transistor Q02 is respectively connected to the source of the third MOS transistor Q03, the second terminal of the first energy storage capacitor C01, and the output negative terminal V1- of the second AC / DC unit;

[0083] The drain of the third MOS transistor Q03 is respectively connected to the source of the fourth MOS transistor Q04 and the second terminal of the primary side of the transformer B1;

[0084] The first terminal of the primary side of the transformer B1 is connected to the second terminal of the resonant inductor L01. The first terminal of the secondary side is respectively connected to the source of the fifth MOS transistor Q11 and the drain of the sixth MOS transistor Q12. The second terminal of the secondary side is respectively connected to the drain of the seventh MOS transistor Q13 and the source of the eighth MOS transistor Q14;

[0085] The drain of the fifth MOS transistor Q11 is respectively connected to the drain of the eighth MOS transistor Q14 and the first terminal of the filter inductor L02;

[0086] The source of the sixth MOS transistor Q12 is respectively connected to the source of the seventh MOS transistor Q13, the second terminal of the second energy storage capacitor C03, and the input negative terminal V- of the second DC / DC unit;

[0087] The second terminal of the filter capacitor C02 is connected to the first terminal of the resonant inductor L01. The second terminal of the filter inductor L02 is respectively connected to the first terminal of the second energy storage capacitor C03 and the input positive terminal V2+ of the second DC / DC unit.

[0088] In an embodiment of the present application, the first MOS transistor Q01, the second MOS transistor Q02, the third MOS transistor Q03, the fourth MOS transistor Q04, the fifth MOS transistor Q11, the sixth MOS transistor Q12, the seventh MOS transistor Q13, and the eighth MOS transistor Q14 may all be controlled by a control module. The control module can control the operation of these eight MOS transistors to achieve voltage conversion.

[0089] In an embodiment of the present application, the charging pile module includes multiple charging piles;

[0090] Each charging pile is connected to different numbers of energy storage batteries;

[0091] The control module further includes a charging control unit;

[0092] The charging control unit is used to control the output states of the multiple energy storage batteries corresponding to each charging pile according to the load of each charging pile.

[0093] Optionally, the integrated photovoltaic energy storage charging intelligent charging system for electric vehicles further includes a first voltage compensation module and a second voltage compensation module;

[0094] The first voltage compensation module is connected between the first voltage conversion module and the energy storage module;

[0095] The second voltage compensation module is connected between the second voltage conversion module and the charging pile module;

[0096] Both the first voltage compensation module and the second voltage compensation module are controlled by the control module;

[0097] The control module further includes a compensation control unit;

[0098] The compensation control unit is used to control the working state of the first voltage compensation module according to the output voltage of the first voltage conversion module, and control the working state of the second voltage compensation module according to the output voltage of the second voltage conversion module; wherein the first voltage conversion module and the second voltage compensation module do not work simultaneously, and the compensation voltage value of the first voltage compensation module is greater than the compensation voltage value of the second voltage compensation module.

[0099] When the output voltage of the first voltage conversion module is lower than the preset first output voltage, the first voltage compensation module can be controlled to work, so that the first voltage compensation module compensates the output voltage of the first voltage conversion module to ensure the normal operation of the energy storage module.

[0100] When the output voltage of the second voltage conversion module is lower than the preset second output voltage, the second voltage compensation module can be controlled to work, so that the second voltage compensation module compensates the output voltage of the second voltage conversion module to ensure the normal operation of the energy storage module.

[0101] Because the first voltage conversion module and the second voltage conversion module generally do not work simultaneously, therefore, the first voltage compensation module and the second voltage compensation module do not work simultaneously.

[0102] In this application, by integrating photovoltaic components, energy storage modules and charging pile modules, the efficient utilization of clean energy is realized, the dependence on the traditional power grid is reduced, carbon emissions are reduced, which is beneficial to environmental protection. Secondly, the integrated photovoltaic energy storage charging intelligent power supply provided in this application has an intelligent control function, which can automatically switch the power supply source and adjust the working state of the battery unit according to the power state of the energy storage module and the load condition of the charging pile, improving the reliability and stability of the power supply. Finally, through the optimized management of the sleep control unit, the service life of the battery unit is effectively extended, the operation cost of the system is reduced, and the overall energy utilization rate is improved.

[0103] In some embodiments of the present application, the first voltage conversion module includes a plurality of first voltage conversion units; the plurality of first voltage conversion units are controlled by the control module; each first voltage conversion unit is connected between the photovoltaic module and a battery unit;

[0104] The control module further includes a photovoltaic control unit;

[0105] The photovoltaic control unit is configured to control the states of the respective first voltage conversion units according to the operating state of the photovoltaic module, wherein the state of each first voltage conversion unit includes a sleep state and an operating state.

[0106] Optionally, each battery unit is connected between a first voltage conversion unit and the charging pile module.

[0107] In some embodiments of the present application, the multiple battery control strategies may include: a fourth battery control strategy, a fifth battery control strategy, and a sixth battery control strategy;

[0108] The fourth control strategy is a strategy of controlling a fourth number of battery units to sleep for a first sleep duration and starting the fourth number of battery units to work after the first sleep duration.

[0109] The fifth control strategy is a strategy of controlling a fifth number of battery units to sleep for a second sleep duration and starting the fifth number of battery units to work after the second sleep duration.

[0110] The sixth control strategy is a strategy of controlling a sixth number of battery units to sleep for a third sleep duration and starting the sixth number of battery units to work after the third sleep duration.

[0111] Wherein, the fourth number is less than the fifth number, the fifth number is less than the sixth number, the first sleep duration is greater than the second sleep duration, and the second sleep duration is greater than the third sleep duration.

[0112] Selecting a target control strategy from multiple battery control strategies according to the load of the charging pile module may include:

[0113] Every preset working duration, based on a target formula, the load of the charging pile module, and the working duration of the charging pile module under different loads, select a target control strategy from multiple battery control strategies.

[0114] The target formula includes:

[0115]

[0116] Wherein, Q represents the selection quantity, T0 represents the preset working duration, N0 represents the standard load of the charging pile module under the preset working duration T0, Ni represents the i-th load of the charging pile module at the preset working duration, T i represents the working duration of the charging pile module at the load of N i under the condition, and n represents the number of different loads of the charging pile module at the preset working duration. represents rounding up.

[0117] In this embodiment, N0 and T0 can be determined according to the historical working data of the charging pile module, and can be specifically selected according to the actual situation.

[0118] When the selected quantity Q is less than the first preset threshold, select the sixth battery control strategy as the target control strategy to control the sixth number of battery units to sleep for the third sleep duration, and start the sixth number of battery units to work after the third sleep duration.

[0119] When the selected quantity Q is greater than or equal to the first preset threshold and less than the second preset threshold, select the fifth battery control strategy as the target control strategy to control the fifth number of battery units to sleep for the second sleep duration, and start the fifth number of battery units to work after the second sleep duration.

[0120] When the selected quantity Q is greater than the second preset threshold, select the fourth battery control strategy as the target control strategy to control the fourth number of battery units to sleep for the first sleep duration, and start the fourth number of battery units to work after the first sleep duration.

[0121] By calculating the selected quantity Q and then selecting an appropriate battery sleep strategy according to the selected quantity Q, the embodiments of the present application can extend the service life of each battery unit and improve the working reliability of the entire system while ensuring the normal operation of the charging pile module.

[0122] In some embodiments of the present application, the electric vehicle integrated photovoltaic energy storage and charging intelligent charging system further includes an environment monitoring module;

[0123] The environment monitoring module is connected to the control module, and the environment monitoring module is used to monitor the environmental information of the photovoltaic module and send the environmental information to the control module.

[0124] Optionally, the environment monitoring module includes a light sensor, a temperature sensor and a communication unit;

[0125] Both the light sensor and the temperature sensor are connected to the communication unit, and the communication unit is communicatively connected to the control module.

[0126] Optionally, the environment monitoring module further includes a first indicator light and a second indicator light;

[0127] The first indicator light is disposed between the light sensor and the communication unit, and the second indicator light is disposed between the temperature sensor and the communication unit.

[0128] In some embodiments of the present application, the integrated intelligent charging system for electric vehicle light storage and charging further includes a central control center;

[0129] The central control center includes a component division module, a data processing module, and a data analysis module;

[0130] The component division module is configured to divide the photovoltaic components, energy storage modules, and charging pile modules respectively, so that each photovoltaic component forms at least two photovoltaic sub-regions, each energy storage module forms at least two battery units, and each charging pile module forms at least two charging piles;

[0131] The data processing module is configured to determine an optimal state threshold for the operation of the integrated intelligent charging system for electric vehicle light storage and charging based on the division result, and distinguish between high-efficiency power generation regions and low-efficiency power generation regions, high-demand charging regions and low-demand charging regions, and high charge-discharge efficiency states and low charge-discharge efficiency states of the energy storage module;

[0132] The data analysis module is configured to analyze and learn the historical operation data based on the processing result of the data processing module by using a machine learning algorithm, establish a prediction model, and predict the power generation of the photovoltaic sub-region, the energy change trend of the battery unit, and the change in charging demand of the charging pile.

[0133] Wherein, the optimal state threshold includes: a power generation efficiency threshold for the photovoltaic sub-region, a charge-discharge efficiency threshold for the battery unit, and a charging demand threshold for the charging pile.

[0134] Specifically, the component division module is configured to divide the components of the integrated intelligent charging system for electric vehicle light storage and charging, including solar photovoltaic components, energy storage modules, and charging piles that have a linear connection relationship along the energy conversion and use sequence. Each photovoltaic component forms at least two photovoltaic sub-regions, each energy storage module forms at least two battery units, and each charging pile forms at least two charging piles.

[0135] A data processing module, configured to obtain the power generation data of each photovoltaic sub-region, the charge and discharge status data of each battery unit, and the charging demand data of each charging pile respectively based on a preset time interval; collect the real-time data of each photovoltaic sub-region, each battery unit and each charging pile, including light intensity, temperature, power and voltage. Moreover, preprocess the collected data and perform threshold segmentation on the preprocessed data to determine the optimal state threshold for the operation of the electric vehicle integrated photovoltaic energy storage charging system, distinguish the high-efficiency power generation area from the low-efficiency power generation area, the high-demand charging area from the low-demand charging area, and the high charge and discharge efficiency state from the low charge and discharge efficiency state of the energy storage module. Moreover, it is used to classify the data of the electric vehicle integrated photovoltaic energy storage charging system based on the determined optimal state threshold, set the high-efficiency power generation area, the high-demand charging area, and the high charge and discharge efficiency state as the active state, and the rest as the non-active state, to obtain the binary state diagram of the operation of the electric vehicle integrated photovoltaic energy storage charging system;

[0136] A data analysis module, configured to process the binary state diagram through data analysis algorithms, evaluate the power generation efficiency of each photovoltaic sub-region, the energy state of each battery unit, and the charging efficiency of each charging pile. Moreover, extract the central indicators of the state of the electric vehicle integrated photovoltaic energy storage charging system, and use statistical analysis methods to fit the central indicators of the operation of the electric vehicle integrated photovoltaic energy storage charging system. The central indicators include the average power generation efficiency and the average charging demand; segment the fitted central indicators into key segments to determine the key operation intervals, including the high-efficiency power generation interval, the high-demand charging interval, and the high-efficiency charge and discharge interval; set monitoring points at the key operation intervals, and the monitoring points intersect with the actual operation state of the electric vehicle integrated photovoltaic energy storage charging system to form reference points for intelligent power supply. Moreover, according to the reference points, dynamically adjust the working state of the photovoltaic sub-region, optimize the charge and discharge strategy of the battery unit, and match the charging demand of the charging pile to form a partition management strategy for integrated photovoltaic energy storage charging intelligent power supply. Moreover, use machine learning algorithms to analyze and learn historical operation data, establish a prediction model, and predict the power generation of the photovoltaic sub-region, the energy change trend of the battery unit, and the change of the charging demand of the charging pile.

[0137] In some embodiments, when using the electric vehicle integrated photovoltaic energy storage charging system, first conduct a detailed component division on the system to ensure an orderly energy conversion and usage process among the solar photovoltaic components, the energy storage module, and the charging piles. By dividing the photovoltaic components into multiple photovoltaic sub-regions, the energy storage module into multiple battery units, and the charging piles into multiple charging piles, the operation efficiency of the entire system can be managed and optimized more precisely.

[0138] Next, the system will regularly collect the power generation data of each photovoltaic sub-region, the charge and discharge status data of each battery unit, and the charging demand data of each charging pile according to the preset time interval. The collection of these data is the basis for realizing intelligent management and provides a basis for subsequent data analysis and decision-making.

[0139] Furthermore, the data acquisition module will collect various data of the photovoltaic sub-region, battery unit, and charging pile in real time, including light intensity, temperature, power, and voltage. The real-time nature of these data is crucial for ensuring that the system can quickly respond to environmental changes and user needs. The collected data needs to be preprocessed to remove noise and outliers to ensure the accuracy and reliability of the data. Then, through threshold segmentation technology, the data is divided into efficient and inefficient power generation, charging, and energy storage states to determine the optimal operating state of the system.

[0140] Based on the optimal state threshold, the system will classify the data to form a binary state diagram, clearly distinguishing the active state and the non-active state, providing an intuitive reference for the system's operating state.

[0141] Furthermore, the data analysis algorithm will deeply process the binary state diagram, evaluate the power generation efficiency of the photovoltaic sub-region, the energy state of the battery unit, and the charging efficiency of the charging pile, providing key information for system optimization.

[0142] By extracting the central indicators of the state of the electric vehicle integrated photovoltaic energy storage charging intelligent charging system, such as the average power generation efficiency and the average charging demand, and using statistical analysis methods for fitting, the overall operating conditions of the system can be better understood.

[0143] It should be noted that for key operating intervals, such as the high-efficiency power generation interval, the high-demand charging interval, and the high-efficiency charge and discharge interval, monitoring points will be set for the system. These monitoring points are combined with the actual operating state of the system to form reference points for intelligent power supply. The system will dynamically adjust the working state of the photovoltaic sub-region, optimize the charge and discharge strategy of the battery unit, and match the charging demand of the charging pile to implement the zoning management strategy of integrated photovoltaic energy storage charging intelligent power supply.

[0144] Finally, by using machine learning algorithms to deeply analyze and learn historical operation data and establish a prediction model, the power generation of the photovoltaic sub-region, the energy change trend of the battery unit, and the change of the charging demand of the charging pile can be predicted, further improving the intelligent level and operating efficiency of the system.

[0145] In some embodiments, the central control center of the electric vehicle integrated photovoltaic energy storage charging intelligent charging system may further include:

[0146] The first data screening unit is used to screen the power generation data of each photovoltaic sub-region.

[0147] Specifically, the data screening process for PV sub-regions may include:

[0148] For each power generation data of each photovoltaic sub-area, the similarity between the power generation data and each standard power generation data in the first data set may be calculated to obtain a plurality of first similarities.

[0149] If the largest first similarity among the multiple first similarities is smaller than the first preset threshold, the power generation data is determined to be invalid data and the power generation data is filtered out.

[0150] If there is no largest first similarity among the multiple first similarities that is smaller than the first preset threshold, it is determined that the power generation data is valid data and the power generation data is retained.

[0151] For each photovoltaic sub-region, if the amount of invalid power generation data in the photovoltaic sub-region exceeds a second preset threshold, the photovoltaic sub-region is determined to be invalid. The power generation data of the photovoltaic sub-region needs to be collected again and the above screening process needs to be repeated.

[0152] The second data screening unit is used to screen the charge and discharge status data of each battery cell.

[0153] Specifically, the data screening process for battery cells may include:

[0154] For the charge and discharge state data of each battery cell, the similarity between the charge and discharge data and each standard charge and discharge data in the second data set may be calculated to obtain a plurality of second similarities.

[0155] If the largest second similarity among the plurality of second similarities is smaller than a second preset threshold, the charge and discharge data is determined to be invalid data and is filtered out.

[0156] If there is no maximum second similarity among the multiple second similarities that is smaller than the second preset threshold, it is determined that the charge and discharge data is valid data and the charge and discharge data is retained.

[0157] For each battery cell, if the amount of invalid charge and discharge data in the battery cell exceeds a third preset threshold, the battery cell is determined to be invalid, and the charge and discharge data of the battery cell needs to be collected again and the above screening process is repeated.

[0158] In some embodiments, in each collection cycle, if the invalid number of photovoltaic sub-areas is greater than a first number, and the invalid number of battery cells is greater than a second number, it is determined that the data collection module in the electric vehicle integrated photovoltaic storage and charging intelligent charging system is faulty. At this time, a corresponding data collection alarm instruction can be issued.

[0159] In some embodiments, if the number of cycles in which the data acquisition module fails within the first time period exceeds the third number, it is determined that the integrated photovoltaic, energy storage and charging intelligent charging system of the electric vehicle fails. At this time, a corresponding fault warning instruction can be issued.

[0160] In some embodiments, the optimal state thresholds include: a power generation efficiency threshold for the photovoltaic sub-region, a charge-discharge efficiency threshold for the battery unit, and a charging demand threshold for the charging pile.

[0161] Furthermore, these thresholds are respectively for the power generation efficiency of the photovoltaic sub-region, the charge-discharge efficiency of the battery unit, and the charging demand of the charging pile. First, for the photovoltaic sub-region, we set a power generation efficiency threshold, which is obtained based on the analysis of historical data and environmental factors, and is used to distinguish between high-efficiency power generation areas and low-efficiency power generation areas. When the power generation efficiency of the photovoltaic sub-region exceeds this threshold, the system marks it as a high-efficiency power generation area to prioritize the utilization of the power generation potential of these areas.

[0162] Next, for the battery unit, a charge-discharge efficiency threshold can also be set. This threshold is used to evaluate the energy conversion efficiency of the energy storage module during the charge-discharge process, so as to identify high-efficiency charge-discharge states. When the efficiency of the battery unit reaches or exceeds this threshold, the system will set it to a high-efficiency state to optimize the efficiency of energy storage and release.

[0163] Finally, for the charging pile, a charging demand threshold is set, which is determined based on the historical data of user charging demands and a prediction model. Through this threshold, the system can identify high-demand charging areas, where the charging demand is higher than the average level and more power supply is required to meet user demands.

[0164] In some embodiments, the preprocessed data is subjected to threshold segmentation to determine the optimal state thresholds for the operation of the integrated photovoltaic, energy storage and charging intelligent charging system of the electric vehicle, including:

[0165] Apply statistical analysis methods to calculate and determine the statistical characteristics of the power generation data of the photovoltaic sub-region, the charge-discharge state data of the battery unit, and the charging demand data of the charging pile, including but not limited to mean, median, variance, and standard deviation;

[0166] Use the statistical characteristics to determine the power generation threshold for distinguishing between high-efficiency power generation areas and low-efficiency power generation areas, and the power generation threshold is the boundary value of the confidence interval of the power generation data;

[0167] Determine the charging demand threshold for distinguishing between high-demand charging areas and low-demand charging areas, and the charging demand threshold is the standard deviation value based on the distribution characteristics of the charging demand data;

[0168] Based on the functional relationship between charge-discharge efficiency and time, the efficiency threshold for distinguishing the high charge-discharge efficiency state and the low charge-discharge efficiency state of the energy storage module is determined by analyzing the average efficiency within the charge-discharge cycle;

[0169] The determined power generation threshold, charging demand threshold, and efficiency threshold are classified to achieve the dynamic recognition of the high-efficiency power generation area, high-demand charging area, and high charge-discharge efficiency state, and the generation of a binary state diagram.

[0170] It should be noted that statistical analysis methods can be applied to deeply analyze the power generation data of the photovoltaic sub-region, the charge-discharge state data of the battery unit, and the charging demand data of the charging pile, and calculate the statistical characteristics of these data, including the mean, median, variance, and standard deviation.

[0171] Through the analysis of these statistical characteristics, we can determine the power generation threshold for the high-efficiency power generation area and the low-efficiency power generation area. Specifically, the power generation threshold is set as the boundary value of the confidence interval of the power generation data, which means that only when the power generation of the photovoltaic sub-region reaches or exceeds this threshold, it is regarded as the high-efficiency power generation area.

[0172] Similarly, we use the distribution characteristics of the charging demand data to determine the charging demand threshold for the high-demand charging area and the low-demand charging area. This threshold is usually set as the standard deviation value of the charging demand data to distinguish different charging demand areas and ensure that the system can preferentially meet the charging demands of the high-demand areas.

[0173] For the charge-discharge efficiency state of the energy storage module, we analyze based on the functional relationship between charge-discharge efficiency and time. By observing the average efficiency within the charge-discharge cycle, we can determine an efficiency threshold to distinguish the high charge-discharge efficiency state and the low charge-discharge efficiency state of the energy storage module.

[0174] Finally, the determined power generation threshold, charging demand threshold, and efficiency threshold can be comprehensively classified. This process involves binaryizing the data according to these thresholds to generate a binary state diagram for the operation of the integrated photovoltaic energy storage charging system for electric vehicles.

[0175] In some embodiments, the binary state diagram is processed to evaluate the power generation efficiency of each photovoltaic sub-region, the energy state of each battery unit, and the charging efficiency of each charging pile, including:

[0176] For each photovoltaic sub-region, by analyzing the real-time power generation data and comparing it with the preset power generation efficiency threshold, its power generation efficiency level is determined; if the real-time power generation exceeds the threshold, it is considered that the sub-region is in a high-efficiency power generation state;

[0177] For each battery cell, its energy charge-discharge efficiency is evaluated by monitoring the charge-discharge status data and comparing it with the charge-discharge efficiency threshold. If the charge-discharge status meets or exceeds the efficiency threshold, the subunit is considered to be in a high-efficiency charge-discharge state.

[0178] For each charging pile, its charging efficiency is evaluated by analyzing the charging demand data and comparing it with the charging demand threshold. If the charging demand data reaches or exceeds the threshold, the sub-module is considered to be in a high-demand charging state.

[0179] For all areas or units evaluated as high-efficiency power generation, high-efficiency charge-discharge, or high-demand charging, their status is recorded and updated, and these data are integrated to form a statistical dataset of the system operation efficiency.

[0180] It should be noted that for the photovoltaic sub-areas, we monitor the power generation data in real time and compare these data with the previously determined power generation efficiency threshold. Through this comparison, we can evaluate the power generation efficiency level for each photovoltaic sub-area. If the real-time power generation of a certain photovoltaic sub-area exceeds the preset threshold, then this sub-area will be marked as being in a high-efficiency power generation state.

[0181] Next, for the battery cells, we evaluate their energy charge-discharge efficiency by continuously monitoring their charge-discharge status data and comparing it with the charge-discharge efficiency threshold. If the charge-discharge status of the battery cell meets or exceeds the efficiency threshold, then this subunit will be considered to be in a high-efficiency charge-discharge state, which helps to ensure that the energy storage module operates in an optimal state.

[0182] For the charging piles, their charging efficiency can be evaluated by analyzing their charging demand data and comparing it with the charging demand threshold. If the charging demand data of the charging pile reaches or exceeds the threshold, then this sub-module will be marked as being in a high-demand charging state, which helps the system to preferentially allocate power resources to meet the charging demands of these modules.

[0183] Furthermore, during the evaluation process, the status of all areas or units rated as high-efficiency power generation, high-efficiency charge-discharge, or high-demand charging will be recorded and updated in real time. The integration of these data will form a statistical dataset of the system operation efficiency, providing a basis for the further optimization and management of the system. Through such evaluation and recording, the integrated intelligent charging system for electric vehicles with photovoltaic energy storage can achieve precise control of each subsystem, thereby improving the overall operation efficiency and energy utilization rate.

[0184] The above-mentioned embodiments of the present invention have the following beneficial effects: Through precise component division and data collection, the above-mentioned embodiments achieve efficient management and optimization of the entire system. By real-time monitoring of the power generation of photovoltaic sub-regions, the charge and discharge status of battery units, and the charging demand of charging piles, it is possible to accurately identify the high-efficiency power generation regions and high-demand charging regions in the system, as well as the high charge and discharge efficiency status of the energy storage module. This refined management strategy not only improves the energy utilization efficiency but also ensures that the system can maintain the optimal operating state under different conditions, thereby extending the service life of the system and reducing the maintenance cost. In addition, by preprocessing the collected data and threshold segmentation, an optimal state threshold of the system is established, which provides a clear reference standard for the operation of the system. By processing the binary state diagram through data analysis algorithms, the power generation efficiency of photovoltaic sub-regions, the energy state of battery units, and the charging efficiency of charging piles are evaluated and optimized. This not only improves the energy conversion efficiency but also realizes the reasonable allocation and efficient utilization of energy through dynamic adjustment of the working state and charge and discharge strategies, further enhancing the intelligent level and power supply reliability of the entire system.

[0185] The above description is only some preferred embodiments of the present invention and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the technical solutions formed by mutually replacing the above features with the technical features (but not limited to) having similar functions disclosed in the embodiments of the present invention.

Claims

1. An integrated intelligent charging system for electric vehicles with solar energy storage and charging, characterized in that: include: Photovoltaic assembly, a first voltage conversion module, a second voltage conversion module, a charging pile module, an energy storage module and a control module; the energy storage module includes a plurality of battery cells connected in parallel; The photovoltaic assembly, the first voltage conversion module, the energy storage module and the charging pile module are connected; The power grid is connected to the charging pile module through the second voltage conversion module; the first voltage conversion module, the second voltage conversion module, the multiple battery units and the charging pile module are all controlled by the control module; The control module includes a power supply switching unit and a sleep control unit; The power supply switching unit is configured to control the second voltage conversion module to start working when the stored power of the energy storage module is lower than the limit power, so that the power grid supplies power to the charging pile; The dormancy control unit is configured to select a target control strategy from a plurality of battery control strategies according to the load of the charging pile module when the stored power of the energy storage module is lower than the limit power, and control the state of each battery cell according to the target control strategy, wherein the state of each battery cell includes a dormant state and a working state; wherein the plurality of battery control strategies include a first battery control strategy, a second battery control strategy, and a third battery control strategy; The first battery control strategy is a strategy for controlling a first number of battery cells to sleep, the second battery control strategy is a strategy for controlling a second number of battery cells to sleep, and the third battery control strategy is a strategy for controlling a third number of battery cells to sleep, wherein the first number is smaller than the second number, and the second number is smaller than the third number; The dormancy control unit is configured to select a target control strategy from a plurality of battery control strategies according to the load of the charging pile module, specifically to select the first battery control strategy as the target control strategy when the load is greater than or equal to the first load, select the second battery control strategy as the target control strategy when the load is less than the first load and greater than or equal to the second load, and select the third battery control strategy as the target control strategy when the load is less than the second load; The multiple battery control strategies further include: a fourth battery control strategy, a fifth battery control strategy, and a sixth battery control strategy; The fourth control strategy is to control the fourth number of battery units to sleep for a first sleep time, and to start the fourth number of battery units to work after the first sleep time; The fifth control strategy is a strategy of controlling the fifth number of battery units to sleep for a second sleep time, and starting the fifth number of battery units to work after the second sleep time; The sixth control strategy is to control the sixth number of battery units to sleep for a third sleep time, and to start the sixth number of battery units to work after the third sleep time; The fourth number is smaller than the fifth number, the fifth number is smaller than the sixth number, the first sleep duration is greater than the second sleep duration, and the second sleep duration is greater than the third sleep duration; The dormancy control unit is specifically configured to: select a target control strategy from a plurality of battery control strategies according to the load of the charging pile module and control the state of each battery unit according to the target control strategy; The working time of each interval is preset, and the selection amount is determined based on the target formula, the load of the charging pile module and the working time of the charging pile module under different loads; The target formula includes: Among them, Q represents the selected quantity, T0 represents the preset working time, N0 represents the standard load of the charging pile module under the preset working time T0, and N i Indicates the i-th load of the charging pile module under the preset working time, T i Indicates that the charging pile module is under the preset working time and the load is N i The working time under the preset working time, n represents the number of different loads of the charging pile module under the preset working time, Indicates rounding up; When the selected quantity Q is less than the first preset threshold, a sixth battery control strategy is selected as the target control strategy to control the sixth number of battery cells to sleep for a third sleep time, and to start the sixth number of battery cells to operate after the third sleep time; When the selected quantity Q is greater than or equal to the first preset threshold value and less than the second preset threshold value, selecting the fifth battery control strategy as the target control strategy to control the fifth number of battery units to sleep for the second sleep time, and to start the fifth number of battery units to work after the second sleep time; When the selected quantity Q is greater than the second preset threshold, the fourth battery control strategy is selected as the target control strategy to control the fourth number of battery cells to sleep for the first sleep time, and start the fourth number of battery cells to work after the first sleep time.

2. The electric vehicle integrated solar storage and charging intelligent charging system according to claim 1 is characterized in that: The second voltage conversion module includes a first AC / DC unit and a first DC / AC unit connected in sequence; The charging pile module includes a second AC / DC unit, a first DC / DC unit and a second DC / DC unit connected in sequence; The electric vehicle integrated solar storage and charging intelligent charging system further includes a first switch S1; the first switch S1 is controlled by the control module, and the first switch S1 is a normally open switch; The first AC / DC unit is connected to the input end of the first DC / DC unit through the first switch S1; The output voltage of the first AC / DC unit is the same as the output voltage of the second AC / DC unit; The control module is further configured to control the first switch S1 to close when the first DC / AC unit or the second AC / DC unit fails, so that the first AC / DC unit supplies power to the DC / DC unit.

3. The electric vehicle integrated solar storage and charging intelligent charging system according to claim 2 is characterized in that: The DC / DC unit in the charging pile module includes: a first MOS transistor Q01, a second MOS transistor Q02, a third MOS transistor Q03, a fourth MOS transistor Q04, a fifth MOS transistor Q11, a sixth MOS transistor Q12, a seventh MOS transistor Q13, an eighth MOS transistor Q14, a first energy storage capacitor C01, a filter capacitor C02, a second energy storage capacitor C03, a resonant inductor L01, a filter inductor L02 and a transformer B1; The first MOS transistor Q01 has a source connected to the drain of the second MOS transistor Q02 and the first end of the filter capacitor C02, and a drain connected to the drain of the fourth MOS transistor Q04, the first end of the first energy storage capacitor C01, and the input output electrode V1+ of the second AC / DC unit. The source of the second MOS transistor Q02 is respectively connected to the source of the third MOS transistor Q03, the second end of the first energy storage capacitor C01 and the output negative electrode V1- of the second AC / DC unit; The drain of the third MOS transistor Q03 is connected to the source of the fourth MOS transistor Q04 and the second end of the primary side of the transformer B1 respectively; The transformer B1 has a primary first end connected to the second end of the resonant inductor L01, a secondary first end connected to the source of the fifth MOS transistor Q11 and the drain of the sixth MOS transistor Q12, and a secondary second end connected to the drain of the seventh MOS transistor Q13 and the source of the eighth MOS transistor Q14. The drain of the fifth MOS transistor Q11 is connected to the drain of the eighth MOS transistor Q14 and the first end of the filter inductor L02 respectively; The sixth MOS transistor Q12 has a source connected to the source of the seventh MOS transistor Q13, the second end of the second energy storage capacitor C03, and the input negative electrode V- of the second DC / DC unit respectively; The second end of the filter capacitor C02 is connected to the first end of the resonant inductor L01; the second end of the filter inductor L02 is respectively connected to the first end of the second energy storage capacitor C03 and the input positive electrode V2+ of the second DC / DC unit.

4. The electric vehicle integrated solar storage and charging intelligent charging system according to claim 2 is characterized in that: The input voltage of the first AC / DC is 10 kVAC, the output voltage of the first DC / AC unit is 800 VAC, and the output voltage of the second DC / DC unit is 50-1000 V.

5. The electric vehicle integrated solar storage and charging intelligent charging system according to claim 1 is characterized in that: The first voltage conversion module includes a plurality of first voltage conversion units; the plurality of first voltage conversion units are controlled by the control module; each first voltage conversion unit is connected between the photovoltaic assembly and a battery unit; The control module also includes a photovoltaic control unit; The photovoltaic control unit is used to control the state of each first voltage conversion unit according to the working state of the photovoltaic assembly, wherein the state of each first voltage conversion unit includes a dormant state and a working state.

6. The electric vehicle integrated solar storage and charging intelligent charging system according to claim 5 is characterized in that: Each battery unit is connected between a first voltage conversion unit and the charging pile module.

7. The electric vehicle integrated solar storage and charging intelligent charging system according to claim 1 is characterized in that: The charging pile module includes a plurality of charging piles; Each charging station is connected to a different number of energy storage batteries; The control module also includes a charging control unit; The charging control unit is used to control the output status of multiple energy storage batteries corresponding to each charging pile according to the load of each charging pile.

8. The electric vehicle integrated solar storage and charging intelligent charging system according to claim 1 is characterized in that: Also includes a first voltage compensation module and a second voltage compensation module; The first voltage compensation module is connected between the first voltage conversion module and the energy storage module; The second voltage compensation module is connected between the second voltage conversion module and the charging pile module; The first voltage compensation module and the second voltage compensation module are both controlled by the control module; The control module further includes a compensation control unit; The compensation control unit is used to control the working state of the first voltage compensation module according to the output voltage of the first voltage conversion module, and to control the working state of the second voltage compensation module according to the output voltage of the second voltage conversion module; The first voltage conversion module and the second voltage compensation module do not operate at the same time, and the compensation voltage value of the first voltage compensation module is greater than the compensation voltage value of the second voltage compensation module.

9. The electric vehicle integrated solar storage and charging intelligent charging system according to claim 1 is characterized in that: Also includes an environmental monitoring module; The environmental monitoring module is connected to the control module, and is used to monitor environmental information of the photovoltaic assembly and send the environmental information to the control module.

10. The electric vehicle integrated solar storage and charging intelligent charging system according to claim 9 is characterized in that: The environmental monitoring module includes a light sensor, a temperature sensor and a communication unit; The light sensor and the temperature sensor are both connected to the communication unit, and the communication unit is in communication connection with the control module.

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