Energy intelligent control system for automobile charging

Abstract

The invention relates to the technical field of energy intelligent control. The invention relates to an intelligent energy 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 for performing parameter monitoring on a charged automobile so as to acquire the control authority of an automobile battery and a transformer; safety detection is carried out by combining power updating of the transformer with the real-time state of the battery, if safety early warning occurs, power updating of the transformer is stopped immediately, damage to the battery and an automobile caused by abnormal conditions in the charging process is effectively prevented, safety recovery analysis is carried out by selecting a historical version charging strategy, and the safety recovery efficiency is improved. It is ensured that the safest charging mode can be adopted when problems occur, or work of the transformer is stopped when a safety strategy cannot be found, and the safety of the system is further enhanced.

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 have natural problems during the charging process. The reason is the lack of real-time and precise monitoring of the charging process, and the inability to detect abnormal conditions such as battery overcharging, over-discharging, overheating, leakage, etc. in time, causing damage to the battery and the 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 purpose 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-mentioned purpose, an energy intelligent control system for automobile 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 the parameters of the charged vehicle, thereby acquiring the control authority of the vehicle battery and the transformer;

[0007] The transformer planning unit is used to establish a historical vehicle charging database, perform charging strategy planning 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 updating unit 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 is compared with the received energy of the battery, and then the power of the transformer is updated according to the energy difference and the charging strategy.

[0009] The strategy recovery unit is used to perform safety detection 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 appears in the real-time status of the battery, the power update of the strategy update unit is stopped, and the 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 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.

[0011] As a further improvement of the technical solution, when the control authority acquisition unit is connected to the vehicle and the charging pile, it applies to the vehicle terminal to establish a data connection, thereby obtaining the vehicle model of the charging vehicle and the 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 the control authority of the battery and the transformer. When charging is completed, the control authority acquisition unit automatically cancels the control authority of the vehicle.

[0013] As a further improvement of the 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 car model collected by the control authority acquisition unit in the historical car charging database, so as to obtain the charging record 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 record of the same model for qualification. When the analysis shows that it is unqualified, the charging strategy is re-planned until the analysis shows that the charging strategy is qualified, and then the transformer is controlled to output energy to the battery according to the charging strategy.

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

[0017]

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

[0019]

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

[0021]

[0022] Among them, t current is the currently planned charging time, δ t The allowable deviation threshold of the charging time;

[0023] P initial ≤P safe

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

[0025] Q=Q t ∧Q p ∧Q other1 ∧…∧Q otherm

[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 indicates that the charging strategy is qualified, and when Q=0, it indicates that the charging strategy is unqualified and needs to be replanned.

[0028] As a further improvement of the 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 the battery parameters, predict the charging efficiency of the battery according to the charging strategy, and send a signal to the power update module when the deviation between the predicted charging efficiency and the actual charging efficiency is greater than the deviation threshold. On the contrary, when the deviation between the predicted charging efficiency and the actual charging efficiency is less than the deviation threshold, the 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 the technical solution, the formula of the power update module is as follows:

[0032] P updated =P current +k+ΔE

[0033] 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.

[0034] As a further improvement of the 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 process of the power update module updating the power of the transformer, and then perform safety detection on the car 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. On the contrary, when no safety warning appears in the real-time status of the battery, the battery is continuously 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 according to 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 stops 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 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, tdesired is the expected charging time, t current Current charging time;

[0044] Score=w1×S v +w2×S t +w3×S c

[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 technical solution, the record supplement unit sets a qualified charging rate according to the car model, and then detects the charging process, and determines the qualified status of the charging process based on the detection results.

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

[0048] In this energy intelligent control system for automobile charging, the power of the transformer is updated and safety detection is performed in combination with the real-time status of the battery. If a safety warning occurs, the transformer power update is stopped immediately, effectively preventing damage to the battery and the car due to abnormal conditions during the charging process. At the same time, by selecting the 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. 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 be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] See also Figure 1As 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 update unit 30, a strategy recovery unit 40 and a record supplement unit 50;

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

[0055] When the control authority acquisition unit 10 is connected to the charging pile through the car, it applies to the car terminal to establish a data connection, so as to obtain the car model of the charging car and the parameter data collected by the car sensor in the car terminal;

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

[0057] Establishing 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 a data connection. If the user disagrees, charging cannot be performed.

[0058] Obtaining vehicle model and parameter data: After the connection is established, the charging pile sends a command to the vehicle terminal requesting 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, giving 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, perform charging strategy planning 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 the historical car charging records according to the car model, and divide the historical car charging records into qualified records and unqualified records for storage, so as to establish 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 the detailed information of each charging, 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 can be 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 car model collected by the control authority acquisition unit 10 in the historical car charging database, so as to obtain the charging record 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 record of the same model. If the analysis shows that it is unqualified, the charging strategy is re-planned until the analysis shows that the charging strategy is qualified. Then, 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 the car model is collected, it is queried in the historical car charging database, and the corresponding charging records are filtered out 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 formulated charging strategy is analyzed for qualification, which can consider multiple factors, such as whether the charging time is reasonable, whether the charging power is within the safe range, whether it will have an adverse effect on the battery life, etc.

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

[0073]

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

[0075]

[0076] Among them, t current is the currently planned charging time, δ t The allowable deviation threshold of the charging time;

[0077] P initial ≤P safe

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

[0079] Q=Q t ∧Q p ∧Q other1 ∧…∧Q otherm

[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 only when all state variables are 1, the qualified state Q of the entire charging strategy is 1;

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

[0082] 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 is compared with the received energy of the battery, and then the power of the transformer is updated based on the energy difference and the charging strategy.

[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 the deviation threshold according to the battery parameters and predict the charging efficiency of the battery according to the charging strategy. When the predicted charging efficiency and the actual charging efficiency deviate and are 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 the 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, consider factors such as charging power, voltage, current, and battery characteristic parameters, and use models to predict charging efficiency;

[0087] Monitor actual charging efficiency: During the charging process, monitor the battery input energy and actual charged power 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, and 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] P updated =P current +k+ΔE

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

[0092] Adjust the output power of the transformer according to 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 output power of the transformer 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 output power of the transformer needs to be increased.

[0093] The strategy recovery unit 40 is used to perform safety detection 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 appears in the real-time status of the battery, the power update of the strategy update unit 30 is stopped, and the historical version of the charging strategy is selected for recovery according to 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 process of the power update module updating the power of the transformer, and then perform safety detection on the car 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. On the contrary, 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, record the updated power value and update time, etc.

[0097] Safety detection: Continuously monitor the real-time status of the battery, including battery voltage, current, temperature, internal resistance and other parameters, and then set the safety warning threshold according to the safety standards and characteristics of the battery. For the battery voltage, set the over-high and under-low voltage thresholds; for the battery temperature, set the high temperature threshold, etc., and then combine the transformer power with the real-time status parameters of the battery for safety analysis. If the transformer power is high, it may cause the battery temperature to rise quickly, and it is necessary to monitor the battery temperature more closely to see if it exceeds the safety threshold;

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

[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 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 results, 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 results, the transformer stops working. The specific operation steps are as follows:

[0101]

[0102] Among them, S v is the battery voltage stability score, V max and V min 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 Trate_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] Score=w1×S v +w2×S t +w3×S c

[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 current charging process after the charging strategy is completed, and then upload it to the historical vehicle charging database to supplement the charging records for the same vehicle model.

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

[0111] According to the car model and battery characteristics, the qualified standard charging rate for the car model is 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 by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An energy intelligent control system for automobile charging, characterized in that: 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 automobile charging database, perform charging strategy planning based on the historical automobile 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; The strategy updating unit (30) is used to predict the charging efficiency of the battery according to the charging strategy, and 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 power of the transformer is updated based on the energy difference and the charging strategy; The strategy recovery unit (40) is used to perform safety detection on the automobile by combining the power of the transformer with the real-time state of the battery when the transformer is updating power. When a safety warning appears in the real-time state 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 state 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 for the same vehicle model.

2. According to claim 1, an energy intelligent control system for automobile charging is characterized in that: When the vehicle and the charging pile are connected, the control authority acquisition unit (10) applies to the vehicle terminal for establishing a data connection, 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 automobile 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 automobile.

3. According to claim 1, an energy intelligent control system for automobile charging is characterized in that: The transformer planning unit (20) comprises 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 automobile model collected by the control authority acquisition unit (10) from the historical automobile charging database, thereby obtaining the charging record of the same automobile model, and then plan the charging strategy according to the transformer parameters, and analyze the charging strategy in combination with the charging record of the same model for qualification. When the analysis shows that it is unqualified, the charging strategy is re-planned until the analysis shows that the charging strategy is qualified, and then the transformer is controlled according to the charging strategy to output energy to the battery.

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

5. The energy intelligent control system for automobile charging according to claim 1 is characterized in that: The strategy updating unit (30) comprises a charging prediction module and a power updating module; The charging prediction module is used to set a deviation threshold according to the battery parameters, predict the charging efficiency of the battery according to the charging strategy, and send a signal to the power update module when the deviation between the predicted charging efficiency and the actual charging efficiency is greater than the deviation threshold. On the contrary, when the deviation between the predicted charging efficiency and the actual charging efficiency is less than the deviation threshold, the 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 is characterized in that: The formula of the power update module is as follows; P updated =P current +k+ΔE 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 is characterized in that: The policy recovery unit (40) includes a security detection module and a version recovery module; The safety detection module is used to monitor the process of the power update module updating the power of the transformer, and then perform safety detection on the car 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. On the contrary, when no safety warning appears in the real-time status of the battery, the battery is continuously 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, select the charging strategy of the historical version according to 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 stops working.

8. The energy intelligent control system for automobile charging according to claim 7 is characterized in that: 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 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; Score=w1×S v +w2×S t +w3×S c 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.

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

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