An intelligent energy control system for car charging

Abstract

The present invention relates to the field of energy intelligent control technology. The present invention relates to an energy intelligent control system for automobile charging. The system comprises a control authority acquisition unit, a transformer planning unit, a strategy updating unit, a strategy recovery unit, and a record supplement unit; the control authority acquisition unit is used to monitor parameters of the charging automobile, thereby obtaining control authority for the automobile battery and transformer; by updating the transformer power in combination with the real-time battery status for safety detection, if a safety warning is issued, the transformer power update is immediately stopped, effectively preventing damage to the battery and automobile due to abnormal conditions during the charging process; at the same time, by selecting a historical version of the charging strategy for safety recovery analysis, it is ensured that the safest charging method can be adopted when a problem occurs, or the transformer is stopped when no safety strategy can be found, further enhancing the safety of the system.

Description

Technical Field

[0001] The present invention relates to the technical field of energy intelligent control, and in particular to an energy intelligent control system for automobile charging. Background Art

[0002] With the rapid development of electric vehicles, electric vehicles need to charge their batteries through charging piles after driving to meet the daily operation needs of electric vehicles and ensure that the vehicles can continue to drive.

[0003] At present, after users connect electric vehicles to charging piles, the charging piles obtain electricity from the power grid and transmit the electricity to the car battery for charging through certain conversion and control. However, electric vehicles often encounter natural problems during the charging process. The reason is the lack of real-time and precise monitoring of the charging process. Abnormal conditions such as battery overcharging, over-discharging, overheating, and leakage cannot be discovered in time, causing damage to the battery and vehicle, and even causing safety accidents. In addition, during normal charging, the charging piles cannot effectively control energy output and manage battery health, resulting in a shortened battery life. In order to reduce this situation, an energy intelligent control system for car charging is proposed. Summary of the Invention

[0004] The object of the present invention is to provide an energy intelligent control system for automobile charging to solve the problems raised in the above background technology.

[0005] To achieve the above objectives, an energy intelligent control system for vehicle charging is provided, comprising a control authority acquisition unit, a transformer planning unit, a strategy updating unit, a strategy recovery unit, and a record supplement unit;

[0006] The control authority acquisition unit is used to monitor parameters of the charging vehicle, thereby obtaining control authority for the vehicle battery and transformer;

[0007] The transformer planning unit is used to establish a historical vehicle charging database, plan a charging strategy based on the historical vehicle charging database combined with battery parameters and transformer parameters, and then control the transformer to output energy to the battery according to the charging strategy;

[0008] The strategy update unit is used to predict the charging efficiency of the battery according to the charging strategy. When there is a deviation between the predicted charging efficiency and the actual charging efficiency, the input energy of the transformer and the received energy of the battery are compared, and then the energy difference is combined with the charging strategy to update the power of the transformer;

[0009] The strategy recovery unit is used to perform a safety check on the vehicle by combining the power of the transformer with the real-time status of the battery when the transformer is updating the power. When a safety warning is issued in the real-time status of the battery, the power update of the strategy update unit is stopped, and a historical version of the charging strategy is selected for recovery according to the real-time status of the battery;

[0010] The record supplement unit is used to save the charging process after the charging strategy is completed, and then upload it to the historical vehicle charging database to supplement the charging records of the same vehicle model.

[0011] As a further improvement of the present technical solution, the control authority acquisition unit applies to the vehicle terminal for establishing a data connection when the vehicle is connected to the charging pile, thereby obtaining the vehicle model of the charging vehicle and parameter data collected by the vehicle sensor in the vehicle terminal;

[0012] The control authority acquisition unit is authorized through the vehicle terminal to obtain control authority for the battery and transformer. When charging is completed, the control authority acquisition unit automatically cancels the control authority for the vehicle.

[0013] As a further improvement of this technical solution, the transformer planning unit includes a database establishment module and a transformer control module;

[0014] The database establishment module is used to collect historical car charging records, classify the historical car charging records according to car models, and divide the historical car charging records into qualified records and unqualified records for storage, thereby establishing a historical car charging database;

[0015] The transformer control module is used to record and extract the vehicle model collected by the control authority acquisition unit from the historical vehicle charging database, thereby obtaining charging records for the same vehicle model, and then plan a charging strategy based on the transformer parameters. The charging strategy is combined with the charging records of the same model for qualification analysis. If the analysis shows that the charging strategy is unqualified, the charging strategy is re-planned until the analysis shows that the charging strategy is qualified. After that, the transformer is controlled to output energy to the battery according to the charging strategy.

[0016] As a further improvement of this technical solution, the formula of the transformer control module is as follows:

[0017]

[0018] Where C is the battery capacity, t desired is the expected charging time, P initial is the initially planned charging power, and P initial ≤P rated , P rated is the rated power of the transformer;

[0019]

[0020] in, is the average value of historical charging time, t i is the historical charging time set of the same model of car, and n is the number of historical charging records;

[0021]

[0022] Among them, t current is the currently planned charging time, δ t Allowable deviation threshold for charging time;

[0023]

[0024] Among them, P safe The maximum safe charging power in history for cars of the same model;

[0025]

[0026] Among them, Q t The charging time is qualified, Q p The charging power is qualified, Q other1… Q otherm is the state of other qualified judgment factors, ∧ is conjunction;

[0027] When Q=1, it means the charging strategy is qualified, and when Q=0, it means the charging strategy is unqualified and needs to be replanned.

[0028] As a further improvement of this technical solution, the strategy update unit includes a charging prediction module and a power update module;

[0029] The charging prediction module is used to set a deviation threshold according to battery parameters and predict the charging efficiency of the battery according to the charging strategy. When the deviation between the predicted charging efficiency and the actual charging efficiency is greater than the deviation threshold, a signal is sent to the power update module. Conversely, when the deviation between the predicted charging efficiency and the actual charging efficiency is less than the deviation threshold, monitoring is continued.

[0030] The power update module is used to receive the signal sent by the charging prediction module, then compare the input energy of the transformer with the received energy of the battery, and then update the power of the transformer based on the energy difference and the charging strategy.

[0031] As a further improvement of this technical solution, the formula of the power update module is as follows:

[0032]

[0033] Among them, P updatedis the updated output power, P current is the current output power of the transformer, k is the adjustment coefficient, and △E is the energy difference.

[0034] As a further improvement of this technical solution, the policy recovery unit includes a security detection module and a version recovery module;

[0035] The safety detection module is used to monitor the power update process of the transformer by the power update module, and then perform safety detection on the vehicle based on the power of the transformer and the real-time status of the battery. When a safety warning appears in the real-time status of the battery, the transformer is stopped from continuing to update the power. Conversely, when no safety warning appears in the real-time status of the battery, the battery is kept on being detected.

[0036] The version recovery module is used to perform a safety recovery analysis based on the real-time status of the battery and the historical version of the charging strategy when the safety detection module stops updating the power of the transformer, select the charging strategy of the historical version based on the analysis result, and then enable the transformer to output energy according to the charging strategy of the historical version. At the same time, when there is no charging strategy that can be selected in the analysis result, the transformer is stopped from working.

[0037] As a further improvement of this technical solution, the formula of the version recovery module is as follows:

[0038]

[0039] Among them, S v is the battery voltage stability score, V max and V min They are the upper and lower limits of the battery safety voltage range, V current is the current battery voltage;

[0040]

[0041] Among them, S t is the battery temperature change rate score, T rate_max and T rate_min are the upper and lower limits of the battery safety temperature change rate range, T current_rate is the current battery temperature change rate;

[0042]

[0043] Among them, S c is the charging time score, t desired is the expected charging time, t current Current charging time;

[0044]

[0045] Among them, Score is the safety score, w1, w2, and w3 are weight coefficients, which respectively represent the importance of battery voltage stability, temperature change rate, and charging time in safety assessment.

[0046] As a further improvement of the present technical solution, the record supplement unit sets a qualified charging rate according to the vehicle model, then detects the charging process, and determines whether the charging process is qualified according to the detection result.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] In this energy intelligent control system for car charging, the power of the transformer is updated and combined with the real-time status of the battery for safety detection. If a safety warning is issued, the transformer power update is immediately stopped, effectively preventing damage to the battery and the car due to abnormal conditions during the charging process. At the same time, by selecting historical versions of charging strategies for safety recovery analysis, it is ensured that the safest charging method can be adopted when problems arise, or the transformer operation is stopped when no safety strategy can be found, further enhancing the safety of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is the overall structural principle diagram of the present invention.

[0050] The meaning of each number in the figure is:

[0051] 10. Control authority acquisition unit; 20. Transformer planning unit; 30. Strategy update unit; 40. Strategy recovery unit; 50. Record supplement unit. DETAILED DESCRIPTION

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0053] See also Figure 1 As shown, the purpose of this embodiment is to provide an energy intelligent control system for automobile charging, including a control authority acquisition unit 10, a transformer planning unit 20, a strategy updating unit 30, a strategy recovery unit 40 and a record supplementing unit 50;

[0054] The control authority acquisition unit 10 is used to monitor the parameters of the charging vehicle, thereby obtaining the control authority of the vehicle battery and transformer;

[0055] When the car and the charging pile are connected, the control authority acquisition unit 10 applies to the car terminal to establish a data connection, thereby obtaining the car model of the charging car and the parameter data collected by the car sensor in the car terminal;

[0056] The vehicle terminal authorizes the control authority acquisition unit 10 to obtain control authority for the battery and the transformer. When charging is completed, the control authority acquisition unit 10 automatically cancels the control authority for the vehicle. The specific operation steps are as follows:

[0057] Establishing a data connection: After the car is connected to the charging pile, the charging pile sends a request signal to the car terminal to establish a data connection. After receiving the request, the car terminal prompts the user whether to allow the connection to be established. If the user agrees, the car terminal sends a confirmation signal to the charging pile to establish the data connection. If the user disagrees, charging cannot proceed;

[0058] Obtaining vehicle model and parameter data: After the connection is established, the charging pile sends a request to the vehicle terminal to obtain the vehicle model and parameter data. After receiving the command, the vehicle terminal reads the vehicle model information from its storage system and collects the current parameter data from the vehicle sensor. The vehicle terminal then sends the vehicle model and parameter data back to the charging pile;

[0059] Control authorization: The charging pile sends a signal to the car terminal requesting control authorization, and then the car terminal prompts the user to confirm the authorization again. After the user confirms, the car terminal sends an authorization signal to the charging pile, granting the charging pile control authority over the battery and transformer;

[0060] Cancellation of control authority: When charging is completed, the charging station detects that the charging status has reached the set completion standard, takes back the control authority of the battery and transformer, and restores autonomous control of the vehicle system.

[0061] The transformer planning unit 20 is used to establish a historical vehicle charging database, plan a charging strategy based on the historical vehicle charging database combined with battery parameters and transformer parameters, and then control the transformer to output energy to the battery according to the charging strategy;

[0062] The transformer planning unit 20 includes a database building module and a transformer control module;

[0063] The database establishment module is used to collect historical car charging records, classify them according to car models, and divide them into qualified records and unqualified records for storage, thereby establishing a historical car charging database. The specific operation steps are as follows:

[0064] Data collection: During the car charging process, the charging pile or related charging management system records detailed information of each charge, including charging start time, end time, charging duration, charging power, charging power, battery status voltage, current, temperature, etc., and car model;

[0065] Data classification: For each record, it is classified according to the car model information. Different folders or data tables can be created, and the corresponding charging records can be stored in the corresponding locations using different car models as identifiers.

[0066] The transformer control module is used to record and extract the vehicle model collected by the control authority acquisition unit 10 from the historical vehicle charging database, thereby obtaining charging records of the same vehicle model, and then plan a charging strategy based on the transformer parameters. The charging strategy is combined with the charging records of the same vehicle model for qualification analysis. If the analysis shows that the charging strategy is unqualified, the charging strategy is re-planned until the analysis shows that the charging strategy is qualified. Thereafter, the transformer is controlled to output energy to the battery according to the charging strategy. The specific operation steps are as follows:

[0067] Record extraction: After collecting the car model, query the historical car charging database and filter out the corresponding charging records based on the car model;

[0068] Charging strategy planning: Develop a preliminary charging strategy based on transformer parameters and current charging needs;

[0069] Qualification analysis: Combined with the charging records of the same model, the charging strategy is analyzed for qualification. Multiple factors can be considered, such as whether the charging time is reasonable, whether the charging power is within the safe range, and whether it will have an adverse impact on the battery life.

[0070] Control transformer output: When the analysis shows that the charging strategy is qualified, a control instruction is sent to the transformer according to the charging strategy. The formula is as follows:

[0071]

[0072] Where C is the battery capacity, t desired is the expected charging time, P initial is the initially planned charging power, and P initial ≤P rated , P rated is the rated power of the transformer;

[0073]

[0074] in, is the average value of historical charging time, t i is the historical charging time set of the same model of car, and n is the number of historical charging records;

[0075]

[0076] Among them, t current is the currently planned charging time, δ t Allowable deviation threshold for charging time;

[0077]

[0078] Among them, P safe The maximum safe charging power in history for cars of the same model;

[0079]

[0080] Among them, Q t The charging time is qualified, Q p The charging power is qualified, Q other1… Q otherm is the state of other qualified judgment factors, ∧ is conjunction, and the qualified state Q of the entire charging strategy is 1 only when all state variables are 1;

[0081] When Q=1, it means the charging strategy is qualified, and when Q=0, it means the charging strategy is unqualified and needs to be replanned.

[0082] The strategy update unit 30 is used to predict the charging efficiency of the battery according to the charging strategy. When there is a deviation between the predicted charging efficiency and the actual charging efficiency, the input energy of the transformer is compared with the received energy of the battery. Then, the energy difference is combined with the charging strategy to update the power of the transformer.

[0083] The strategy update unit 30 includes a charging prediction module and a power update module;

[0084] The charging prediction module is used to set a deviation threshold based on battery parameters and predict the battery charging efficiency according to the charging strategy. When the deviation between the predicted charging efficiency and the actual charging efficiency is greater than the deviation threshold, a signal is sent to the power update module. Conversely, when the deviation between the predicted charging efficiency and the actual charging efficiency is less than the deviation threshold, monitoring is continued. The specific operation steps are as follows:

[0085] Set the deviation threshold: Determine a reasonable deviation threshold based on battery type, capacity, health status, and other parameters, combined with actual experience or through experiments;

[0086] Charging efficiency prediction: Based on the current charging strategy, factors such as charging power, voltage, current, and battery characteristics are considered to use models or predict charging efficiency;

[0087] Monitor actual charging efficiency: During the charging process, monitor the battery's input energy and actual charged capacity in real time to calculate the actual charging efficiency;

[0088] Deviation judgment and processing: Calculate the deviation between the predicted charging efficiency and the actual charging efficiency. When the deviation between the predicted charging efficiency and the actual charging efficiency is greater than the deviation threshold, send a signal to the power update module. Conversely, when the deviation between the predicted charging efficiency and the actual charging efficiency is less than the deviation threshold, continue monitoring.

[0089] The power update module is used to receive the signal sent by the charging prediction module, then compare the input energy of the transformer with the received energy of the battery, and then update the power of the transformer based on the energy difference and the charging strategy. The formula is as follows:

[0090]

[0091] Among them, P updated is the updated output power, P current is the current transformer output power, k is the adjustment coefficient, and △E is the energy difference;

[0092] Adjust the transformer's output power based on the energy difference and the current charging strategy. If the energy difference is positive and large, it means that the input energy is too much and the battery receives insufficient energy, and the transformer's output power needs to be reduced. If the energy difference is negative and large, it means that the input energy is insufficient and the battery receives more energy, and the transformer's output power needs to be increased.

[0093] The policy recovery unit 40 is used to perform a safety check on the vehicle by combining the power of the transformer with the real-time status of the battery when the transformer is updating the power. If a safety warning is issued in the real-time status of the battery, the power update of the policy update unit 30 is stopped and the historical version of the charging policy is selected for recovery based on the real-time status of the battery.

[0094] The policy recovery unit 40 includes a security detection module and a version recovery module;

[0095] The safety detection module is used to monitor the power update process of the power update module on the transformer, and then combine the transformer power with the real-time status of the battery to perform safety detection on the vehicle. When a safety warning appears in the real-time status of the battery, the transformer is stopped from continuing to update the power. Conversely, when no safety warning appears in the real-time status of the battery, the battery is continuously detected. The specific operation steps are as follows:

[0096] Monitor the power update process: track the transformer power update in real time, and record the updated power value and update time;

[0097] Safety testing: Continuously monitor the real-time status of the battery, including parameters such as battery voltage, current, temperature, and internal resistance. Then, based on the battery's safety standards and characteristics, set safety warning thresholds. For battery voltage, set excessively high and low voltage thresholds; for battery temperature, set a high temperature threshold. Then, combine the transformer power with the real-time battery status parameters for safety analysis. If the transformer power is high, it may cause the battery temperature to rise rapidly, requiring closer monitoring to ensure that the battery temperature exceeds the safety threshold.

[0098] Handling safety warnings: If a safety warning is detected in the real-time battery status, the transformer power update is immediately stopped and corresponding safety measures are taken, such as reducing the charging power and disconnecting the charging circuit, to protect the safety of the battery and the vehicle;

[0099] If no safety warning appears in the real-time battery status, continue to check the battery to ensure the safety of the charging process.

[0100] The version recovery module is used to perform a safety recovery analysis based on the real-time battery status and the historical version of the charging strategy when the safety detection module stops updating the transformer power. Based on the analysis results, the charging strategy of the historical version is selected, and then the transformer outputs energy according to the charging strategy of the historical version. At the same time, if there is no selectable charging strategy in the analysis results, the transformer is stopped. The specific operation steps are as follows:

[0101]

[0102] Among them, S v is the battery voltage stability score, V max and V min They are the upper and lower limits of the battery safety voltage range, V current is the current battery voltage;

[0103]

[0104] Among them, S t is the battery temperature change rate score, T rate_max and T rate_min are the upper and lower limits of the battery safety temperature change rate range, T current_rate is the current battery temperature change rate;

[0105]

[0106] Among them, S c is the charging time score, t desired is the expected charging time, t current Current charging time;

[0107]

[0108] Among them, Score is the safety score, w1, w2, and w3 are weight coefficients, which respectively represent the importance of battery voltage stability, temperature change rate, and charging time in safety assessment.

[0109] The record supplement unit 50 is used to save the charging process after the charging strategy is completed, and then upload it to the historical vehicle charging database to supplement the charging records of the same vehicle model.

[0110] The record supplement unit 50 sets a qualified charging rate according to the vehicle model, then detects the charging process, and determines whether the charging process is qualified according to the detection result.

[0111] Based on the car model and battery characteristics, the qualified standard charging rate for the car model can be set. By analyzing the historical charging data of the same model of cars, a reasonable average charging rate range or a specific charging rate threshold can be determined.

[0112] 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 to the above embodiments. The above embodiments and descriptions are merely preferred examples of the present invention and are not intended to limit the present invention. Various changes and improvements may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and improvements fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent energy control system for automobile charging, characterized by: It includes a control authority acquisition unit (10), a transformer planning unit (20), a strategy updating unit (30), a strategy recovery unit (40), and a record supplement unit (50); The control authority acquisition unit (10) is used to monitor parameters of the charged vehicle, thereby acquiring the control authority of the vehicle battery and the transformer; The transformer planning unit (20) is used to establish a historical vehicle charging database, perform charging strategy planning based on the historical vehicle charging database in combination with battery parameters and transformer parameters, and then control the transformer to output energy to the battery according to the charging strategy; The strategy updating unit (30) is used to predict the charging efficiency of the battery according to the charging strategy. When the predicted charging efficiency deviates from the actual charging efficiency, the input energy of the transformer and the received energy of the battery are compared, and then the energy difference is combined with the charging strategy to update the power of the transformer; The strategy recovery unit (40) is used to perform a safety check on the vehicle safety by combining the power of the transformer with the real-time status of the battery when the transformer is updating the power. When a safety warning occurs in the real-time status of the battery, the power update of the strategy update unit (30) is stopped, and a historical version of the charging strategy is selected for recovery according to the real-time status of the battery; The record supplement unit (50) is used to save the current charging process after the charging strategy is completed, and then upload it to the historical vehicle charging database to supplement the charging records of the same vehicle model; The policy recovery unit (40) includes a security detection module and a version recovery module; The safety detection module is used to monitor the power update process of the transformer by the power update module, and then perform safety detection on the vehicle based on the power of the transformer and the real-time status of the battery. When a safety warning appears in the real-time status of the battery, the transformer is stopped from continuing to update the power. Conversely, when no safety warning appears in the real-time status of the battery, the battery is kept on being detected. The version recovery module is used to perform a safety recovery analysis based on the real-time status of the battery and the historical version of the charging strategy when the safety detection module stops updating the power of the transformer. The charging strategy of the historical version is selected according to the analysis result, and then the transformer outputs energy according to the charging strategy of the historical version. At the same time, when there is no charging strategy that can be selected in the analysis result, the transformer stops working; The formula of the version recovery module is as follows: ； Among them, S v is the battery voltage stability score, V max and V min They are the upper and lower limits of the battery safety voltage range, V current is the current battery voltage; ； Among them, S t is the battery temperature change rate score, T rate_max and T rate_min are the upper and lower limits of the battery safety temperature change rate range, T current_rate is the current battery temperature change rate; ； Among them, S c is the charging time score, t desired is the expected charging time, t current Current charging time; ； Among them, Score is the safety score, w1, w2, and w3 are weight coefficients, which respectively represent the importance of battery voltage stability, temperature change rate, and charging time in safety assessment.

2. The energy intelligent control system for automobile charging according to claim 1, characterized in that: The control authority acquisition unit (10) applies to the vehicle terminal for establishing a data connection when the vehicle is connected to the charging pile, thereby acquiring the vehicle model of the charging vehicle and parameter data collected by the vehicle sensor in the vehicle terminal; The control authority acquisition unit (10) is controlled and authorized through the vehicle terminal to obtain the control authority of the battery and the transformer. When charging is completed, the control authority acquisition unit (10) automatically cancels the control authority of the vehicle.

3. The energy intelligent control system for automobile charging according to claim 1, characterized in that: The transformer planning unit (20) includes a database establishment module and a transformer control module; The database establishment module is used to collect historical car charging records, classify the historical car charging records according to car models, and divide the historical car charging records into qualified records and unqualified records for storage, thereby establishing a historical car charging database; The transformer control module is used to record and extract the car model collected by the control authority acquisition unit (10) from the historical car charging database, thereby obtaining the charging records of the same car model, and then plan the charging strategy according to the transformer parameters, and analyze the charging strategy in combination with the charging records of the same car model. If the analysis shows that the charging strategy is unqualified, the charging strategy is re-planned until the analysis shows that the charging strategy is qualified. After that, the transformer is controlled to output energy to the battery according to the charging strategy.

4. The energy intelligent control system for automobile charging according to claim 3, characterized in that: The formula of the transformer control module is as follows: ； Where C is the battery capacity, t desired is the expected charging time, P initial is the initially planned charging power, and P initial ≤P rated , P rated is the rated power of the transformer; ； in, is the average value of historical charging time, t i is the historical charging time set of the same model of car, and n is the number of historical charging records; ； Among them, t current is the currently planned charging time, δ t Allowable deviation threshold for charging time; ； Among them, P safe The maximum safe charging power in history for cars of the same model; ； Among them, Q t The charging time is qualified, Q p The charging power is qualified, Q other1… Q otherm is the state of other qualified judgment factors, ∧ is conjunction; When Q=1, it means the charging strategy is qualified, and when Q=0, it means the charging strategy is unqualified and needs to be replanned.

5. The energy intelligent control system for automobile charging according to claim 1, characterized in that: The strategy updating unit (30) includes a charging prediction module and a power updating module; The charging prediction module is used to set a deviation threshold according to battery parameters and predict the charging efficiency of the battery according to the charging strategy. When the deviation between the predicted charging efficiency and the actual charging efficiency is greater than the deviation threshold, a signal is sent to the power update module. Conversely, when the deviation between the predicted charging efficiency and the actual charging efficiency is less than the deviation threshold, monitoring is continued. The power update module is used to receive the signal sent by the charging prediction module, then compare the input energy of the transformer with the received energy of the battery, and then update the power of the transformer based on the energy difference and the charging strategy.

6. The energy intelligent control system for automobile charging according to claim 5, characterized in that: The formula of the power update module is as follows: ； Among them, P updated is the updated output power, P current is the current output power of the transformer, k is the adjustment coefficient, and △E is the energy difference.

7. The energy intelligent control system for automobile charging according to claim 1, characterized in that: The record supplement unit (50) sets a qualified charging rate according to the vehicle model, then detects the charging process, and determines the qualified status of the charging process according to the detection result.

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