Intelligent battery replacing system and method for electric vehicle

Abstract

The invention discloses an intelligent battery replacement system and method for an electric vehicle, and relates to the technical field of intelligent battery replacement, and the system comprises a battery replacement cabinet which is used for storing and taking a battery and providing a power supply for the battery; the communication module is used for transmitting the battery replacement request to a server and receiving an operation instruction issued by the server; the near-field communication module is used for judging whether the to-be-replaced battery is close to the battery replacement cabinet or not; and the server is used for receiving the power conversion request and issuing an operation instruction according to the power conversion request. According to the technical scheme, the battery replacement process of the electric vehicle can be simplified while the design of the battery replacement cabinet door is reserved, and the high application value is achieved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent battery replacement technology, and in particular to an intelligent battery replacement system and method for electric vehicles. Background Art

[0002] The electric vehicle industry has important strategic significance for alleviating environmental pressure and promoting economic growth. Electric vehicles have irreplaceable advantages in environmental protection due to their advantages of high efficiency and energy saving. However, electric vehicles also have problems such as small battery capacity, long charging time, and poor endurance, which limit the development of the electric vehicle industry. In order to solve the above problems, a battery replacement device for electric vehicles to quickly replace batteries has come into being. When the battery of an electric vehicle is about to run out of power, the user disassembles the original battery of the electric vehicle and replaces it with a battery with sufficient power in the battery replacement device. At present, the mainstream battery replacement method of the battery replacement device is that the user pays for the battery replacement by scanning the QR code on the battery replacement device. However, this method requires the user to scan the code through the mobile phone while carrying the battery pack, and the user experience is poor in this process; there is also a battery replacement method for a battery replacement device without a cabinet door design. Although this method has a more convenient battery replacement process, it has a greater safety hazard. When a battery fire or explosion occurs, the user is at a higher risk of being in danger. Therefore, based on this problem, the present application proposes an intelligent battery replacement system and method for electric vehicles. Summary of the invention

[0003] Technical Purpose In order to solve the above problems, the purpose of the present invention is to provide an intelligent battery replacement system and method for electric vehicles, which simplifies the battery replacement process of electric vehicles while retaining the cabinet door design of the battery replacement cabinet. The system and method have a wide range of application scenarios, ensuring the safety of the battery replacement process of electric vehicles, optimizing the battery replacement process of electric vehicles, and improving the user experience during the battery replacement process.

[0004] Technical Solution In order to achieve the above-mentioned objectives, the present invention provides an intelligent battery replacement system and method for electric vehicles, which replaces the user's operation of scanning a code to open the door by combining a physical button with near-field communication, regulates the use of the battery according to the business information stored inside the battery and supports offline verification, thereby simplifying the battery replacement process of the electric vehicle while retaining the cabinet door design of the battery replacement cabinet.

[0005] In a first aspect, the present invention provides an electric vehicle intelligent battery replacement system, comprising: Battery exchange cabinet, used to store and access batteries and provide power to the batteries; A communication module, used to transmit a battery replacement request to a server and receive operation instructions issued by the server; Near field communication module, used to determine whether the battery to be replaced is close to the battery swap cabinet; The server is used to receive a battery replacement request and issue an operation instruction according to the battery replacement request.

[0006] Furthermore, the battery swap cabinet determines whether it needs to open the cabinet door by combining a physical button with near-field communication; only when the battery swap cabinet itself meets the conditions for opening the cabinet for battery swapping, the near-field communication module determines that there is a battery to be swapped near the battery swap cabinet, and the physical button of the battery swap cabinet is pressed, the battery swap cabinet determines that an idle battery swap cabinet door needs to be opened. This avoids the need for users to scan the code while carrying the battery pack, optimizes the user experience, and avoids the phenomenon that some users place the battery pack on the ground during operation, causing the battery to be contaminated or damaged.

[0007] Furthermore, the power exchange cabinet has a voice prompt function, which will simultaneously broadcast voice when performing operations such as opening the cabinet door and verifying business information.

[0008] Furthermore, the battery swap cabinet supports offline verification of battery service information. When the battery swap cabinet is offline or the server is under maintenance, the user is still allowed to perform offline battery swapping, and the system is highly robust.

[0009] Furthermore, the battery swap cabinet supports battery swapping by scanning a code.

[0010] Furthermore, the near-field communication module includes a reader deployed on the battery exchange cabinet and an electronic tag deployed on the battery; the reader activates the electronic tags in a certain area around the battery exchange cabinet by transmitting a wireless radio frequency signal, and records the timestamp when the electronic tag is activated; the near-field communication module determines whether the battery is a battery to be replaced based on the length of time the battery is around the battery exchange cabinet and the battery power information. This prevents a person who does not carry a battery from pressing the button of the battery exchange cabinet to open the cabinet door, thus ensuring the property safety of the battery exchange cabinet.

[0011] Furthermore, the battery replacement request includes user information, business information of the battery to be replaced, power information of the battery to be replaced and power information of the target battery. The server calculates the battery replacement fee based on the power information of the battery to be replaced and the power information of the target battery (i.e., the battery that has been fully charged in the battery replacement cabinet and can be taken away and used by the user), or calculates according to other rules. The specific calculation method is determined by the customer and business model.

[0012] Furthermore, after the user closes the cabinet door, the power-swap cabinet reads the business information of the battery to be replaced, and transmits the business information to the server through the communication module; the server processes the business information and issues corresponding operation instructions according to the processing results; if the business information verification fails, the power-swap cabinet reopens the cabinet door and returns the battery to the user; if the business information verification succeeds, the power-swap cabinet selects a battery that meets the conditions for leaving the cabinet and opens the cabinet door of the cabinet where it is located. It simplifies the battery replacement process while retaining the cabinet door design to ensure the safety of the power-swap cabinet.

[0013] Furthermore, the system also includes a high and low temperature warning module, wherein the high temperature warning includes dissipating the heat of the battery swap cabinet by physical cooling when the internal temperature of the battery swap cabinet is too high, and interrupting the charging process of the battery when the battery cell temperature exceeds a certain threshold. If a fire is detected inside the battery swap cabinet, the battery swap cabinet is controlled to enter a fire protection state, the power supply of the entire cabinet is cut off, and the fire is extinguished by a fire cylinder or water; the low temperature warning includes heating the battery through a heating module when the battery cell temperature is too low, so that the battery temperature is maintained within a certain range. It improves the safety of battery use and reduces safety accidents caused by excessive temperature; extends the service life of the battery and slows down the aging process of the battery; ensures the stable operation of the battery swap cabinet and the continuity and reliability of the battery swap service.

[0014] Furthermore, the system also includes a machine learning module, which is used to select representative features from the historical usage data of the battery swap cabinet, and predict the battery usage status based on the linear regression algorithm to optimize the battery allocation strategy. It analyzes the performance changes of the battery and formulates a personalized charging strategy for the battery to extend the battery life; by predicting battery failures, it warns of potential safety risks in advance and reduces the occurrence of safety accidents.

[0015] In a second aspect, the present invention further provides an intelligent battery replacement method for an electric vehicle, the method being based on the system described in the first aspect, comprising: Open the cabinet door according to the cabinet opening and power-swapping conditions and the judgment result of the near-field communication module; The battery swap cabinet reads the battery's business information and transmits it to the server through the communication module; The server processes the business information and issues corresponding operation instructions based on the processing results; The battery swap cabinet selects batteries that meet the conditions for release from the cabinet according to the operating instructions and writes the business information into the battery.

[0016] Furthermore, if the power swap cabinet opens a door of an idle power swap cabinet, and no battery to be swapped is connected after a period of time and the door remains open, the power swap cabinet automatically ends the current power swap process.

[0017] Furthermore, if the battery leaves the battery swap cabinet for a period of time and then approaches the battery swap cabinet again, the battery swap cabinet will re-determine the battery as a battery to be replaced; if the battery continues to exist around the battery swap cabinet and has not participated in battery replacement, the battery will be excluded by the battery swap cabinet after a certain period of time.

[0018] Furthermore, the battery swap cabinet supports only returning batteries, which specifically includes: the user starts the power return process on the mobile phone mini program by scanning the QR code on the power swap cabinet, and the power swap cabinet opens an idle cabinet door to wait for the user to return the battery; the power swap cabinet reads the business information of the battery, and if the business information verification is successful, it is determined that the current power return process has successfully ended; the user can make a power return appointment in advance through the mini program so that the power swap cabinet can reserve an idle power swap cabinet in advance.

[0019] In a third aspect, the present invention further provides a computer device, comprising a processor and a memory, wherein the processor is connected to the memory, the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the computer device executes the aforementioned electric vehicle intelligent battery replacement method.

[0020] In a fourth aspect, the present invention further provides a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the aforementioned intelligent battery replacement method for electric vehicles is implemented.

[0021] The present invention replaces the user's operation of scanning a code to open the door by combining a physical button with near-field communication; regulates the use of the battery according to the business information stored inside the battery and supports offline verification; the high and low temperature warning module dissipates the heat of the battery swap cabinet by physical cooling, and interrupts the charging process of the battery when the battery cell temperature exceeds a certain threshold, and heats the battery through the heating module when the battery cell temperature is too low; the machine learning module selects representative features from the historical usage data of the battery swap cabinet, and predicts the battery usage status according to the linear regression algorithm to optimize the battery allocation strategy. The system and method simplify the battery swap process of electric vehicles while retaining the design of the battery swap cabinet door. The system and method have a wide range of application scenarios, ensuring the safety of the battery swap process of electric vehicles, optimizing the battery swap process of electric vehicles, and improving the user experience during the battery swap process.

[0022] Beneficial Effects By implementing the electric vehicle intelligent battery replacement system and method provided by the present invention, the following technical effects are achieved: (1) The user's operation of scanning a code to open the door is replaced by combining a physical button with near-field communication. This avoids the need for users to scan a code while carrying a battery pack, thereby optimizing the user experience. It also prevents some users from placing the battery pack on the ground during operation, causing the battery to be contaminated or damaged. It also prevents people who do not carry batteries from pressing the button of the battery swap cabinet to open the cabinet door, thereby ensuring the property safety of the cabinet.

[0023] (2) The use of batteries is regulated according to the business information stored inside the batteries and offline verification is supported. The battery swapping process is simplified while retaining the cabinet door design to ensure the safety of the battery swapping cabinet. The restrictions on the battery structure are removed, allowing the battery to have greater versatility. When the battery swapping cabinet is offline or the server is undergoing maintenance, users are still allowed to perform offline battery swapping, and the system is highly robust.

[0024] (3) The high and low temperature warning module dissipates heat from the battery swap cabinet by physical cooling, and interrupts the charging process of the battery when the battery cell temperature exceeds a certain threshold. When the battery cell temperature is too low, the battery is heated by the heating module. It improves the safety of battery use and reduces safety accidents caused by excessive temperature. It extends the service life of the battery and slows down the aging process of the battery. It ensures the stable operation of the battery swap cabinet and the continuity and reliability of the battery swap service.

[0025] (4) The machine learning module selects representative features from the historical usage data of the battery swap cabinet and predicts the battery usage status based on the linear regression algorithm to optimize the battery allocation strategy. It analyzes the performance changes of the battery and formulates a personalized charging strategy for the battery to extend the battery life. It predicts battery failures and provides early warning of potential safety risks to reduce the occurrence of safety accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to make the above-mentioned electric vehicle intelligent battery replacement system and method of the present invention more obvious and easy to understand, the drawings required for use in the specific implementation of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0027] Figure 1 A schematic diagram showing an intelligent battery replacement method for electric vehicles; Figure 2 A schematic diagram showing the battery replacement request processing flow. DETAILED DESCRIPTION

[0028] Embodiment 1: Provided is an electric vehicle intelligent battery replacement system and method, the intelligent battery replacement method is as follows Figure 1As shown, the system includes: a battery exchange cabinet, a communication module, a near field communication module and a server, as follows: The battery swap cabinet is used to store and access batteries and provide power to the batteries.

[0029] The battery swap cabinet determines whether it needs to open the cabinet door by combining a physical button with near-field communication; only when the battery swap cabinet itself meets the conditions for opening the cabinet for battery swapping, the near-field communication module determines that there is a battery to be replaced (that is, a low-battery battery in the owner's car, which needs to be replaced with a fully charged battery in the battery swap cabinet) close to the battery swap cabinet, and the physical button of the battery swap cabinet is pressed, the battery swap cabinet determines that a battery swap cabinet door in an idle state needs to be opened.

[0030] If the power swap cabinet opens a door of an idle power swap cabinet, and no battery to be swapped is connected after a period of time and the door remains open, the power swap cabinet automatically ends the current power swap process.

[0031] The battery swap cabinet supports only returning batteries, which specifically includes: the user starts the power return process on the mobile phone mini program by scanning the QR code on the power swap cabinet, and the power swap cabinet opens an idle cabinet door to wait for the user to return the battery; the power swap cabinet reads the business information of the battery, and if the business information verification is successful, it is determined that the current power return process has ended successfully; the user can make a power return appointment in advance through the mini program so that the power swap cabinet can reserve an idle power swap cabinet in advance.

[0032] The power exchange cabinet has a voice prompt function, which will simultaneously broadcast voice when performing operations such as opening the cabinet door and verifying business information.

[0033] The battery swap cabinet supports offline verification of battery service information.

[0034] The battery swap cabinet supports battery swapping by scanning a code.

[0035] The communication module is used to transmit the battery replacement request to the server and receive the operation instructions issued by the server.

[0036] The near-field communication module is used to determine whether the battery to be replaced is close to the battery swap cabinet.

[0037] The near-field communication module includes a reader deployed on the power exchange cabinet and an electronic tag deployed on the battery; the reader activates the electronic tags in a certain area around the power exchange cabinet by transmitting wireless radio frequency signals, and records the timestamp when the electronic tag is activated; the near-field communication module determines whether the battery is a battery to be replaced based on the length of time the battery is located around the power exchange cabinet and the battery power information.

[0038] The near field communication mode of the near field communication module includes RFID, Bluetooth, Star Flash, Zigbee and the like.

[0039] If the battery leaves the battery swap cabinet for a period of time and then approaches the battery swap cabinet again, the battery swap cabinet will re-determine the battery as a battery to be replaced; if the battery continues to exist around the battery swap cabinet and has not participated in battery replacement, the battery will be excluded by the battery swap cabinet after a certain period of time.

[0040] The server is used to receive a battery replacement request and issue an operation instruction according to the battery replacement request.

[0041] The battery replacement request processing process is as follows Figure 2 As shown, the battery replacement request includes user information, business information of the battery to be replaced, power information of the battery to be replaced and power information of the target battery. The server calculates the battery replacement fee based on the power information of the battery to be replaced and the power information of the target battery (that is, the battery that has been fully charged in the battery replacement cabinet and can be taken away and used by the user), or calculates according to other rules. The specific calculation method is determined by the customer and business model.

[0042] After the user closes the cabinet door, the battery swap cabinet reads the business information of the battery to be swapped and transmits the business information to the server through the communication module; the server processes the business information and issues corresponding operation instructions based on the processing results; if the business information verification fails, the battery swap cabinet reopens the cabinet door and returns the battery to the user; if the business information verification succeeds, the battery swap cabinet selects a battery that meets the conditions for leaving the cabinet and opens the cabinet door where it is located.

[0043] The system also includes a high and low temperature warning module, wherein the high temperature warning includes dissipating the heat of the battery swap cabinet by physical cooling when the internal temperature of the battery swap cabinet is too high, and interrupting the charging process of the battery when the battery cell temperature exceeds a certain threshold. If a fire is detected inside the battery swap cabinet, the battery swap cabinet is controlled to enter a fire protection state, the power supply of the entire cabinet is cut off, and the fire is extinguished by a fire cylinder or water; the low temperature warning includes heating the battery through a heating module when the battery cell temperature is too low, so that the battery temperature remains within a certain range. The application of high and low temperature warning modules can reduce the possibility of high temperature accidents in the intelligent battery swap system of electric vehicles to less than 5%.

[0044] Embodiment 2: On the basis of the above-mentioned embodiment, the system adds a machine learning module for selecting representative characteristics from the historical usage data of the battery swap cabinet, predicting the battery usage status according to the linear regression algorithm, and optimizing the battery allocation strategy; First, it is necessary to collect the historical usage data of the battery swap cabinet, including battery usage frequency, battery swap time, battery charging cycle and battery health status, and clean, standardize and convert the collected data. The data standardization formula is as follows:

[0045] in, Represents the original data value; Indicates the average value of the data; Indicates the standard deviation of the data; Represents the scaling factor, which is used to adjust the sensitivity of the data; Indicates the data after normalization.

[0046] The chi-square test is used to select features related to the target variable. The calculation formula of the chi-square statistic is:

[0047] in, Indicates The observed frequency of a feature; Indicates The expected frequency of a feature; Indicates The weight of a feature is used to reflect the importance of the feature in the chi-square test; Represents the feature variable.

[0048] A random forest is trained to predict the battery life, failure rate, and charging requirements. The splitting criterion of the random forest uses the Gini impurity reduction :

[0049] in, Represents the entire data set; The dataset representing the left subtree after splitting; The data set representing the right subtree after splitting; represents the adjustment parameter used to balance the purity gain of the split; represents the Gini impurity.

[0050] The generalization ability of the model is tested through cross-validation techniques:

[0051] in, Representation model; Indicates the number of cross-validation folds; represents the error rate, that is, the performance of the model on a specific dataset; Represents the confidence interval, which is used to indicate the stability range of the model evaluation results; represents the training set; Represents the test set.

[0052] The linear regression model is used to detect the operating status of the battery swap cabinet and predict future maintenance requirements and battery replacement time. The prediction formula is:

[0053] in, Indicates at time The predicted value of Indicates at time The characteristic variable value of represents the input feature of the model; Represents the model coefficient, which indicates the degree of influence of the feature on the predicted value; Represents the time decay factor, which is used to consider the dynamic changes of time series data.

[0054] For example, suppose there is a data column of battery charge and discharge times , the average value is 300 times, standard deviation For 50 times, select To 0.5 to adjust the sensitivity of the data;

[0055] Assume there are five characteristics: number of charge and discharge cycles, battery temperature, battery voltage, battery internal resistance, and usage time:

[0056]

[0057]

[0058] Compute the chi-square statistic for the first feature:

[0059] Assume that the random forest is trained with the following splitting criterion parameters, , , , ;

[0060] Assume that after 5 cross validations, , , ;

[0061] Predicting battery RUL through linear regression model:

[0062] The effects of the machine learning module are shown in Table 1: Table 1. Summary of machine learning module effects

[0063] As shown in Table 1, the battery allocation strategy optimized by the machine learning module can significantly reduce the battery failure rate; this shows that the machine learning module can effectively improve the service life of the battery in the electric vehicle intelligent battery swapping system and the operation and maintenance efficiency of the battery swapping cabinet.

[0064] Embodiment 3: Based on the above embodiments, a method for intelligent battery replacement of an electric vehicle is provided, which specifically includes the following steps: (1) The power swap cabinet determines whether it needs to open the cabinet door by combining a physical button with near-field communication. Only when the power swap cabinet itself meets the conditions for opening the cabinet for power swapping, the near-field communication module determines that there is a battery to be swapped near the power swap cabinet, and the physical button of the power swap cabinet is pressed, the power swap cabinet determines that it needs to open an idle power swap cabinet door. If the power swap cabinet opens an idle power swap cabinet door, and after a period of time, no battery to be swapped is connected and the cabinet door remains open, the power swap cabinet automatically ends the current power swap process.

[0065] (2) The near-field communication module determines whether the battery is a battery to be replaced based on the length of time the battery has been around the power swap cabinet; if the battery leaves the power swap cabinet for a period of time and then approaches the power swap cabinet again, the power swap cabinet will re-determine the battery as a battery to be replaced; if the battery continues to exist around the power swap cabinet and has not been involved in power swapping, the power swap cabinet will exclude the battery after a certain period of time.

[0066] (3) The server calculates the battery replacement fee based on the power information of the battery to be replaced and the power information of the target battery, or calculates according to other rules. The specific calculation method is determined by the customer and business model.

[0067] (4) After the user closes the cabinet door, the battery swap cabinet reads the business information of the battery to be swapped and transmits the business information to the server through the communication module; the server processes the business information and issues corresponding operation instructions based on the processing results; if the business information verification fails, the battery swap cabinet reopens the cabinet door and returns the battery to the user; if the business information verification succeeds, the battery swap cabinet selects a battery that meets the conditions for leaving the cabinet and opens the cabinet door where it is located.

[0068] (5) The high and low temperature warning module dissipates heat from the battery swap cabinet by physical cooling, and interrupts the charging process of the battery when the battery cell temperature exceeds a certain threshold. When the battery cell temperature is too low, the battery is heated by the heating module.

[0069] (6) The battery swap cabinet supports only returning batteries, which specifically includes: the user starts the power return process on the mobile phone mini program by scanning the QR code on the battery swap cabinet, and the battery swap cabinet opens an idle cabinet door to wait for the user to return the battery; the battery swap cabinet reads the business information of the battery, and if the business information is successfully verified, it is determined that the current power return process has been successfully completed; the user can make a power return reservation in advance through the mini program so that the power swap cabinet can reserve an idle battery swap cabinet in advance.

[0070] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable non-transient storage media containing computer-usable program code.

[0071] The present invention can provide computer program instructions to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce means for implementing the system.

[0072] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device that implements the functions of the system.

[0073] These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions of the system.

Claims

1. An intelligent battery replacement system for electric vehicles, characterized in that: include: A battery swap cabinet is used to store and access batteries and provide power to the batteries. The battery swap cabinet determines whether it needs to open the cabinet door by combining a physical button with near-field communication; A communication module, used to transmit a battery replacement request to a server and receive operation instructions issued by the server; A near-field communication module is used to determine whether a battery to be replaced is near the battery-swapping cabinet. The near-field communication module determines whether the battery is a battery to be replaced based on the length of time the battery is located around the battery-swapping cabinet and the battery power information; A server, used to receive a battery replacement request and issue an operation instruction according to the battery replacement request; High and low temperature warning module, used to control the battery cell temperature and provide high and low temperature warning; Machine learning module for optimizing battery allocation strategy.

2. The electric vehicle intelligent battery replacement system according to claim 1, characterized in that: Only when the battery swap cabinet itself meets the conditions for opening the cabinet for battery swapping, the near-field communication module determines that there is a battery to be swapped near the battery swap cabinet, and the physical button of the battery swap cabinet is pressed, the battery swap cabinet determines that a battery swap cabinet door in an idle state needs to be opened.

3. The electric vehicle intelligent battery replacement system according to claim 2 is characterized in that: The near-field communication module includes a reader deployed on the power exchange cabinet and an electronic tag deployed on the battery; the reader activates the electronic tags within a certain area around the power exchange cabinet by transmitting wireless radio frequency signals, and records the timestamp when the electronic tags are activated.

4. The electric vehicle intelligent battery replacement system according to claim 1, characterized in that: The battery replacement request includes user information, business information of the battery to be replaced, power information of the battery to be replaced and power information of the target battery. The server calculates the battery replacement fee based on the power information of the battery to be replaced and the power information of the target battery.

5. The electric vehicle intelligent battery replacement system according to claim 4, characterized in that: After the user closes the cabinet door, the battery exchange cabinet reads the business information of the battery to be exchanged, and transmits the business information to the server through the communication module; the server processes the business information and issues corresponding operation instructions according to the processing results.

6. The electric vehicle intelligent battery replacement system according to any one of claims 1 to 5, characterized in that: The high and low temperature warning module, the high temperature warning includes dissipating the heat of the power swap cabinet by physical cooling when the internal temperature of the power swap cabinet is too high, and interrupting the charging process of the battery when the battery cell temperature exceeds a certain threshold. If a fire is detected inside the power swap cabinet, the power swap cabinet is controlled to enter a fire protection state and the power supply of the entire cabinet is cut off; the low temperature warning includes heating the battery through a heating module when the battery cell temperature is too low.

7. The electric vehicle intelligent battery replacement system according to any one of claims 1 to 5, characterized in that: The machine learning module is used to select representative characteristics from the historical usage data of the battery swap cabinet and predict the battery usage status based on a linear regression algorithm.

8. An intelligent battery replacement method for electric vehicles, characterized in that: The method is implemented based on the system according to any one of claims 1 to 7: The method comprises: Open the cabinet door according to the cabinet opening and power-swapping conditions and the judgment result of the near-field communication module; The battery swap cabinet reads the battery's business information and transmits it to the server through the communication module; The server processes the business information and issues corresponding operation instructions based on the processing results; The battery swap cabinet selects batteries that meet the conditions for release from the cabinet according to the operating instructions and writes the business information into the battery.

9. A computer device comprising a processor and a memory, wherein the processor is connected to the memory, and the memory is used to store a computer program, wherein: The processor is used to execute the computer program stored in the memory so that the computer device executes the electric vehicle intelligent battery replacement method as claimed in claim 8.

10. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, characterized in that: When the computer program is executed, the intelligent battery replacement method for electric vehicles as described in claim 8 is implemented.

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