A temperature analysis and charging process control method of a shared battery charging and swapping cabinet

Abstract

The application discloses a temperature analysis and charging process control method of a shared battery charging and replacing cabinet, relates to the technical field of battery charging and replacing cabinet control, and forms a latent heat analysis original feature group according to a current charging process and an original operation sequence in a current battery historical charging process after a current battery is connected to a charging bin; a ternary latent heat representation group is generated through segment alignment, background stripping and self-referencing comparison; a latent heat dislocation preliminary evaluation state and a latent heat rhythm code are generated; a cabinet control system controls a charging module to execute a slow-release charging section, a conventional charging recovery section, a slow-release convergence section or a bin area review action chain according to the latent heat rhythm code, and returns an electric heating response after execution to update the latent heat dislocation preliminary evaluation state. The current method is used for distinguishing battery self-heat release from cabinet environmental heat drift, so that the charging rhythm is adjusted according to the change of the battery heat response.

Description

Technical Field

[0001] This invention relates to the field of battery charging and swapping cabinet control technology, specifically a method for temperature analysis and charging process control of a shared battery charging and swapping cabinet. Background Technology

[0002] Shared battery charging and swapping cabinets are typically used for centralized charging, storage, and swapping of multiple shared batteries. Existing charging cabinets generally control charging based on current battery temperature, internal compartment temperature, charging current, terminal voltage, and feedback information from the battery management system. When the temperature reaches a warning threshold, they then implement current reduction, charging pause, or alarm procedures. This approach relies heavily on the temperature feedback itself and struggles to differentiate between factors such as battery heat release, cabinet environment thermal drift, conduction effects from adjacent charging compartments, and differences in historical battery thermal behavior. Consequently, the charging module may continue charging at its original pace even before internal heat is reflected in the temperature feedback.

[0003] In practical use, after a shared battery is returned by a user, it may still contain heat accumulated from cycling discharge, environmental exposure, and previous usage conditions. When the battery is connected to the charging compartment, changes in charging current will first affect the battery's internal electrochemical processes. There is a time lag between the recovery of the terminal voltage and temperature feedback and the current disturbance. At the same time, when multiple charging compartments in the cabinet are working together, the temperature of the current charging compartment will also be affected by the cabinet's inherent thermal drift and heat conduction from adjacent charging compartments. If the charging cabinet only controls based on the current temperature value, it is easy to mistake changes in the cabinet environment as internal heat release from the battery, and it is also easy to continue charging before the internal heat of the battery has been transferred to the temperature feedback position. This can lead to problems such as delayed temperature feedback, mismatched charging rhythm, failure to utilize the historical thermal behavior of the same battery, and difficulty in applying temperature analysis results to charging control actions. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a method for temperature analysis and charging process control of a shared battery charging and swapping cabinet, solving the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for temperature analysis and charging process control of a shared battery charging and swapping cabinet, comprising the following steps: S1. After the current battery is connected to the charging compartment, a latent heat analysis original feature group is formed based on the current charging process and the original operating sequence of the current battery's historical charging process. S2. Perform fragment alignment, background stripping, and self-reference comparison on the original feature group of latent heat analysis to generate a ternary latent heat characterization group, which includes electrothermal phase residue, thermal inertia deviation pattern, and warehouse stripping shadow. S3. Based on the ternary latent heat characterization group, the initial assessment state of latent heat misalignment is generated. The initial assessment state of latent heat misalignment includes the initial assessment state of internal unreleased latent heat, the initial assessment state of heat release after heat pursuit, and the initial assessment state of warehouse pseudo-heat. S4. Generate latent heat beat codes based on the initial assessment of latent heat misalignment and the three-dimensional latent heat characterization group. The latent heat beat codes include pre-release type latent heat beat codes, swing type latent heat beat codes, and verification type latent heat beat codes. S5. The charging module executes the charging cycle according to the latent heat beat code. The pre-release latent heat beat code is used to control the current battery to enter the slow-release charging stage. The swing-back latent heat beat code is used to control the current battery to enter the slow-release charging stage, the normal charging recovery stage, and the slow-release convergence stage. The verification latent heat beat code is used to regenerate the bin area stripping image and return the regenerated electrothermal phase residue, thermal inertia deviation ripple, and bin area stripping image to update the initial evaluation state of latent heat misalignment.

[0006] Preferably, S1 includes S11 and S12; S11. After the current battery is connected to the charging compartment and establishes communication with the cabinet control system, the original operating sequence is obtained from the current charging process and the current battery's historical charging process based on the battery identity information of the current battery. The original operating sequence includes the current command change sequence of the charging module, the actual current following sequence of the charging module, the current battery terminal voltage change sequence, the current battery temperature feedback sequence, the current charging compartment temperature change sequence, the adjacent charging compartment temperature change sequence, the idle charging compartment temperature change sequence, and the same operating sequence of the current battery in the historical charging process. Using the current command change sequence of the charging module as the time reference, the actual current following sequence, terminal voltage change sequence, temperature feedback sequence, and temperature change sequence of each charging compartment are adjusted to the same time axis. The moment when the current command changes is taken as the starting point of the slice, and the temperature feedback continuation process after the current follows into stable output is taken as the ending point of the slice, thus obtaining the first type of candidate segment in the current charging process. Then, from the current battery historical charging process, select historical segments that are in the same state of charge interval as the current charging process and include the switching of the charging current target value sent by the cabinet control system to the charging module and the corresponding adjustment of the actual output current of the charging module, as the second type of candidate segments. The first type of candidate fragment is used to describe the current disturbance, terminal voltage recovery and temperature feedback process during the current charging process; The second type of candidate fragment is used to describe the thermal behavior of the current battery itself during historical charging processes; Through the above processing, the sequences scattered in the charging module, battery management system and charging compartment temperature monitoring unit are organized into latent heat analysis candidate fragments with the same time base. S12. Classify the candidate segments of latent heat analysis, and encapsulate the candidate segments of current command change sequence and actual current follow sequence into current excitation morphology segments. The current excitation morphology segments are used to record the complete process of actual current following the current action after the charging module issues a current change action. The candidate segments of the current battery's terminal voltage change sequence located before and after the current command change are encapsulated as terminal voltage rebound segments; the terminal voltage rebound segments are used to record the current battery's terminal voltage recovery process before and after the current disturbance. Candidate segments of the current battery temperature feedback sequence that are on the same time axis as the current excitation topography segment are encapsulated as temperature sensing slow response segments. Temperature sensing slow response segments are used to record the delayed change process of the current battery temperature feedback relative to the current disturbance. The content of the second type of candidate segment of the current battery history charging process is encapsulated into a battery self-history reference segment. The battery self-history reference segment is used to record the current battery's own thermal behavior benchmark during the history charging process. The current excitation morphology segment, terminal voltage rebound segment, temperature sensing slow response segment, battery background drift segment, and battery self-history reference segment are encapsulated along the same time axis into a latent heat analysis original feature group. Each segment retains its source, start time, end time, and the corresponding charging process marker. Preferably, S2 includes S21 and S22; S21. Read the original feature group of latent heat analysis, take the moment when the target value of the charging current changes in the current excitation morphology segment as the starting anchor point, take the moment when the actual output current of the charging module enters the target current holding process as the current following anchor point, take the moment when the terminal voltage changes from disturbance change to recovery change in the terminal voltage rebound segment as the voltage rebound anchor point, and take the moment when the temperature feedback sequence begins to form a continuous change trajectory in the temperature sensing slow response segment as the temperature sensing response anchor point. Based on the starting anchor point, current following anchor point, voltage rebound anchor point, and temperature sensing response anchor point, the current excitation morphology segment, terminal voltage rebound segment, and temperature sensing slow response segment are adjusted to the same charging time axis to form a coaxial latent heat segment group. Based on the temperature change sequence of the current charging compartment, the temperature change sequence of the adjacent charging compartment, and the temperature change sequence of the idle charging compartment in the background drift segment of the compartment, the cabinet's base thermal drift segment and the adjacent compartment's conductive thermal drift segment are extracted. The content in the temperature sensing slow response segment that has the same source of change as the cabinet's base thermal drift segment and the adjacent compartment's conductive thermal drift segment is stripped, and the temperature sensing content originating from the current battery's own heat release is retained. The retained temperature sensing content forms the compartment stripping.

[0007] Preferably, in step S22, the current excitation morphology segment in the coaxial latent heat segment group is used as the excitation axis, the terminal voltage rebound segment is used as the polarization recovery axis, and the temperature sensing slow response segment after the heat shadow stripping in the warehouse is used as the temperature sensing axis. The excitation axis, polarization recovery axis and temperature sensing axis are morphologically folded according to the order of appearance, continuation segment and convergence segment of the excitation axis, polarization recovery axis and temperature sensing axis in the same charging time axis to generate an electrothermal phase afterimage. The electrothermal phase ghost image is used to record the timing misalignment between the actual output current of the charging module, the current battery terminal voltage recovery, and the current battery temperature feedback after the target value of the charging current is switched. The battery's historical reference segment is invoked, and the same event anchoring coaxialization and phase folding rules as the current charging process are used to process the battery's historical reference segment into a historical electrothermal phase afterimage. The electrothermal phase ghost image generated during the current charging process is compared with the historical electrothermal phase ghost image using a self-reference comparison. The comparison result generates thermal inertia deviation texture. Thermal inertia deviation texture is used to record the deviation of the current battery's thermal response path during the current charging process from the thermal response path during the historical charging process. The self-reference comparison process is as follows: input the electrothermal phase ghost image generated in the current charging process and the historical electrothermal phase ghost image generated in the historical charging process into the same comparison process, first perform segment equalization processing on the two, so that the current electrothermal phase ghost image and the historical electrothermal phase ghost image are compared in the same charging process segment. Subsequently, instead of directly comparing single-point temperature, single-point voltage, or single-point current values, the cabinet control system organizes the change sequence, change duration segments, and change fall segments in the current electrothermal phase afterimage into the current afterimage chain, and organizes the change sequence, change duration segments, and change fall segments in the historical electrothermal phase afterimage into the historical afterimage chain. Then, the cabinet control system compares the current afterimage chain and the historical afterimage chain segment by segment according to the same segment order, extracts the segment content of the current afterimage chain that appears earlier, appears later, is retained longer, or fades earlier than the historical afterimage chain, and synthesizes the above segment content into thermal inertia deviation pattern; The electrothermal phase residue, thermal inertia deviation pattern, and bin area peeling shadow are packaged into a ternary latent heat characterization group according to the same charging time axis.

[0008] Preferably, S3 includes S31 and S32; S31. Read the ternary latent heat characterization group, and use the warehouse stripping shadow as the environmental attribution entry point to divide the source branch of the temperature sensing content in the electrothermal phase residual image. Among them, the temperature-sensing content that is received by the warehouse domain stripping image is classified into the warehouse domain source branch, and the temperature-sensing content that is not received by the warehouse domain stripping image but is still retained in the electrothermal phase residual image is classified into the battery source branch. Based on the battery source branch, the disturbance content formed by the current excitation morphology segment, the recovery content formed by the terminal voltage rebound segment, and the temperature sensing content formed by the temperature sensing slow response segment in the electrothermal phase residual image are arranged into a latent heat misalignment sequence according to the entry order, continuation order, and recovery order in the same charging time axis. The thermal inertia deviation pattern is coupled to the latent thermal misalignment sequence. The segments of the current electrothermal phase residual image that appear earlier, appear later, are retained longer, or fade earlier relative to the historical electrothermal phase residual image are marked into the latent thermal misalignment sequence to form a latent thermal misalignment discrimination chain.

[0009] Preferably, in step S32, an initial assessment state of latent heat misalignment is generated based on the latent heat misalignment discrimination chain. The specific process is as follows: When the current latent heat misalignment discrimination chain has the warehouse source branch connected to the temperature sensing content, and the battery source branch has not formed a continuous arrangement from current disturbance and terminal voltage recovery to the temperature sensing content, a warehouse pseudo-heat initial evaluation state is generated; this is used to indicate that the current temperature sensing content originates from the thermal drift of the cabinet environment. The battery source branch in the current latent heat misalignment discrimination chain retains the temperature sensing content, and the latent heat misalignment sequence with the self-historical snapping label is characterized by the current disturbance content and the terminal voltage recovery content having entered and continued, while the temperature sensing content has not yet entered the corresponding arrangement. This generates the internal latent unreleased initial evaluation state, which is used to indicate that the current internal heat release of the battery has not yet formed a follow-up in the temperature sensing content. The battery source branch in the current latent heat misalignment discrimination chain retains the temperature sensing content, and the latent heat misalignment sequence with the self-historical snapping label is generated when the temperature sensing content has been followed by the current disturbance content and the terminal voltage recovery content. This is used to indicate that the current battery temperature sensing content has begun to take over the previous current disturbance and terminal voltage recovery. The initial assessment states of latent heat, heat release, and pseudo-heat in the storage area are fitted to obtain the initial assessment state of latent heat misalignment.

[0010] Preferably, S4 includes S41 and S42; S41. Take the initial evaluation state of latent heat misalignment as the beat entry point, and take the electrothermal phase afterimage, thermal inertia deviation pattern and warehouse peeling shadow as the source of beat arrangement; When the current latent heat misalignment initial assessment state is the internal latent unreleased initial assessment state, the residual content of current disturbance and terminal voltage recovery that has been formed but not yet received by temperature sensing content is extracted from the electrothermal phase residual image. Then, the deviation segment generated by the current electrothermal phase residual image relative to the historical electrothermal phase residual image is extracted from the thermal inertia deviation pattern. The temperature sensing content after the cabinet environment thermal drift is excluded by the warehouse stripping shadow, and the pre-release candidate skeleton is generated. The pre-release candidate skeleton includes the slow release intervention section, the temperature sensing reception verification section, and the conventional charging reconnection section. When the current latent heat misalignment initial assessment state is the temperature release initial assessment state, the delayed appearance segment and extended retention segment of the current electrothermal phase remnant image relative to the historical electrothermal phase remnant image are extracted from the thermal inertia deviation pattern. Then, the temperature sensing content that has been continued in the electrothermal phase remnant image is combined with the temperature sensing content after the thermal drift of the cabinet environment is excluded by the warehouse domain stripping shadow to generate the swing back candidate skeleton. The swing back candidate skeleton includes the slow release intervention segment, the regular charging recovery segment, the slow release convergence segment, and the self-reference verification segment. When the current latent heat misalignment initial assessment state is the warehouse domain pseudo-heat initial assessment state, the cabinet control system uses the temperature sensing content received by the warehouse domain stripping shadow as the source of the beat arrangement to generate a review candidate skeleton; the review candidate skeleton includes the warehouse domain stripping recalculation segment and the latent heat misalignment initial assessment state return segment. The pre-release candidate skeleton, the swing candidate skeleton, and the re-core candidate skeleton are fitted into a latent heat beat candidate skeleton.

[0011] Preferably, in step S42, the latent heat beat candidate skeleton is encapsulated into a single code to obtain the latent heat beat code. The specific process is as follows: When the current latent heat beat candidate skeleton is the pre-release candidate skeleton, the slow-release intervention segment is taken as the first charging action, the temperature sensing acceptance verification segment is taken as the intermediate verification action, and the regular charging return segment is taken as the subsequent charging action, and it is encapsulated as a pre-release latent heat beat code; the pre-release latent heat beat code is used to deal with the problem that the current disturbance and the terminal voltage recovery have been formed in the initial evaluation state of the internal latent heat without release, but the temperature sensing content has not yet been accepted. When the current latent heat beat candidate skeleton is a swing-back candidate skeleton, the slow-release intervention segment, the regular charging recovery segment, the slow-release convergence segment, and the self-reference verification segment are encapsulated into a swing-back type latent heat beat code in the execution order. The swing-back type latent heat beat code is used to handle the problem that the temperature sensing content has been followed by the previous current disturbance and the terminal voltage recovery in the initial evaluation state of temperature release, and the current electrothermal phase residual image still has a deviation segment relative to the historical electrothermal phase residual image. When the current latent heat beat candidate skeleton is a verification candidate skeleton, the warehouse domain stripping recalculation segment and the latent heat misalignment initial evaluation state return segment are encapsulated into a verification latent heat beat code; the verification latent heat beat code is used to handle the problem that the temperature sensing content in the warehouse domain pseudo-heat initial evaluation state originates from the thermal drift of the cabinet environment; The pre-release latent heat beat code, the swing-type latent heat beat code, and the verification-type latent heat beat code are encapsulated into a latent heat beat code.

[0012] S5 includes S51 and S52; S51 reads the tick segment name and execution order encapsulated in the latent heat tick code, and converts the tick segment name into a current control action that the charging module can execute; When the current latent heat beat code is a pre-release latent heat beat code, the slow-release intervention segment in the pre-release latent heat beat code is converted into a slow-release charging command, so that the current battery enters the slow-release charging segment. The slow-release charging segment is used to interrupt the continuous continuation of current disturbance within the same charging time axis, so that the current disturbance content and the terminal voltage recovery content already formed in the electrothermal phase afterimage in S2 can obtain a new temperature sensing connection time. When the current latent heat beat code is a swing-type latent heat beat code, the slow-release intervention segment, the conventional charging recovery segment, and the slow-release convergence segment in the swing-type latent heat beat code are sequentially converted into a continuous charging action chain. Among them, the slow-release intervention section is used to suppress the deviation segment marked by the thermal inertia deviation pattern, the regular charge recovery section is used to maintain the current charging process of the battery, and the slow-release convergence section is used to cut off the continuous continuation of the current disturbance again after the regular charge recovery section, so that the temperature sensing content can be reorganized in the subsequent review. When the current latent heat beat code is a verification type latent heat beat code, the current temperature sensing content is not directly used as the basis for the current internal heat release of the battery. Instead, the current charging process is controlled to enter the domain verification action chain, so that the domain stripping shadow is regenerated first, and then enters the latent heat misalignment initial evaluation state update process.

[0013] Preferably, in step S52, after the charging action is executed, the original feature group construction rules of latent heat analysis are used to form new latent heat analysis candidate segments for the current charging process after the charging action is executed, and the electrothermal phase residue, thermal inertia deviation texture and warehouse stripping shadow are regenerated according to the event anchoring coaxialization, warehouse thermal shadow stripping, phase folding and self-reference comparison processing in step S2. When the current latent heat beat code is a pre-release latent heat beat code, the electrothermal phase residual image is regenerated with the current disturbance content, terminal voltage recovery content and temperature sensing content after the execution of the slow-release charging segment, and the regenerated electrothermal phase residual image is sent back to S3; used to update the initial evaluation state of the unreleased latent heat or the initial evaluation state of the temperature release. When the current latent heat beat code is a swing-type latent heat beat code, the electrothermal phase after the execution of the slow-release intervention segment, the regular charging recovery segment and the slow-release convergence segment is used as the current afterimage chain, and the historical electrothermal phase afterimage generated by the battery from the historical reference segment is used as the historical afterimage chain. The thermal inertia deviation pattern is regenerated, and the regenerated thermal inertia deviation pattern is sent back to S3 to update the initial evaluation state of latent heat misalignment. When the current latent heat beat code is a verification latent heat beat code, the warehouse domain stripping image is regenerated based on the temperature changes of the current charging compartment, adjacent charging compartments, and idle charging compartments after the warehouse domain verification action chain is executed. The regenerated warehouse domain stripping image is then sent back to S3 to update the warehouse domain pseudo-heat initial evaluation state. Finally, through the process of "decoding and executing latent heat beat codes, reconstructing segments after execution, updating the ternary latent heat characterization group, and returning the initial evaluation state of latent heat misalignment", the charging control action is no longer limited to one-time segmented charging, but can continue to be updated according to the current battery's electrothermal response after the charging action.

[0014] This invention provides a method for temperature analysis and charging process control of a shared battery charging and swapping cabinet, which has the following beneficial effects: (1) By generating a ternary latent heat characterization group through fragment alignment, background stripping, and self-reference comparison, the influence of battery heat release, cabinet environment thermal drift, and heat conduction in adjacent compartments can be effectively distinguished. At the same time, the deviation of the current charging process can be identified by combining historical references. This processing method makes temperature analysis no longer limited to single-point temperature or single measurement, realizing in-depth thermal response modeling of the charging process and providing reliable feature input for accurate charging cycle.

[0015] (2) The candidate segments of latent heat analysis are classified and encapsulated to form the original feature group of latent heat analysis. The current excitation morphology segment, terminal voltage rebound segment, temperature sensing slow response segment, warehouse background drift segment, and battery self-historical reference segment are integrated into a unified time axis to achieve multi-dimensional synchronous representation of current, voltage, temperature, and environmental factors. This processing method can distinguish between the battery's own heat release and the ambient temperature drift, improve the accuracy of temperature analysis, and provide reliable input for the subsequent generation of ternary latent heat characterization group and latent heat misalignment initial evaluation state.

[0016] (3) By performing event anchoring and coaxialization processing on the original feature set of latent heat analysis and generating a coaxial latent heat segment set, current disturbance, terminal voltage recovery and slow temperature response can be aligned on a unified time axis, while removing the influence of cabinet background thermal drift and adjacent compartment conductive heat. This processing method overcomes the limitation of traditional charging cabinets that only rely on single temperature or current feedback, enabling the temperature sensing content to accurately reflect the battery's own heat release, providing reliable input for subsequent in-depth temperature analysis. Attached Figure Description

[0017] Figure 1 This is a schematic diagram illustrating the steps of a temperature analysis and charging process control method for a shared battery charging and swapping cabinet according to the present invention. Figure 2 This is a schematic diagram of the self-reference comparison process of the present invention; Figure 3 This is a schematic diagram of the latent heat beat code encapsulation process of the present invention. Detailed Implementation

[0018] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0019] Example 1 This invention provides a method for temperature analysis and charging process control of a shared battery charging and swapping cabinet. Please refer to [link / reference]. Figures 1 to 3 This includes the following steps: S1. After the current battery is connected to the charging compartment, a latent heat analysis original feature group is formed based on the current charging process and the original operating sequence of the current battery's historical charging process. S2. Perform fragment alignment, background stripping, and self-reference comparison on the original feature group of latent heat analysis to generate a ternary latent heat characterization group, which includes electrothermal phase residue, thermal inertia deviation pattern, and warehouse stripping shadow. S3. Based on the ternary latent heat characterization group, the initial assessment state of latent heat misalignment is generated. The initial assessment state of latent heat misalignment includes the initial assessment state of internal unreleased latent heat, the initial assessment state of heat release after heat pursuit, and the initial assessment state of warehouse pseudo-heat. S4. Generate latent heat beat codes based on the initial assessment of latent heat misalignment and the three-dimensional latent heat characterization group. The latent heat beat codes include pre-release type latent heat beat codes, swing type latent heat beat codes, and verification type latent heat beat codes. S5. The charging module executes the charging cycle according to the latent heat beat code. The pre-release latent heat beat code is used to control the current battery to enter the slow-release charging stage. The swing-back latent heat beat code is used to control the current battery to enter the slow-release charging stage, the normal charging recovery stage, and the slow-release convergence stage. The verification latent heat beat code is used to regenerate the bin area stripping image and return the regenerated electrothermal phase residue, thermal inertia deviation ripple, and bin area stripping image to update the initial evaluation state of latent heat misalignment.

[0020] In this embodiment, by organizing and analyzing the original operating sequences of the current charging process and the battery's historical charging processes, a set of original latent heat analysis features is formed. This allows for the capture of current disturbances, terminal voltage recovery, temperature feedback, battery temperature drift, and historical thermal behavior information at the beginning of charging, providing a complete latent heat analysis foundation for subsequent charging control. Compared to traditional methods that rely solely on surface temperature feedback, this embodiment can identify the internal heat accumulation of the battery in advance, preventing the charging module from continuing to charge before the internal heat of the battery becomes apparent, thereby reducing the potential risk of exceeding temperature limits.

[0021] Based on the ternary latent heat characterization set, a latent heat misalignment initial evaluation state is generated, and further, a latent heat beat code is generated. This code maps different types of thermal response states to corresponding charging action chains. The design of pre-release, swing-back, and verification latent heat beat codes enables the charging module to flexibly adjust the charging beat according to the current internal thermal hysteresis and historical thermal behavior of the battery. This achieves combined control of slow-release charging, regular charging recovery, and the convergence phase, thereby reducing battery overheating, extending battery life, and improving charging safety. After executing the charging beat under the control of the latent heat beat code, the electrothermal response after the charging action is executed can be fed back to the ternary latent heat characterization set and the latent heat misalignment initial evaluation state, achieving closed-loop update. This closed-loop mechanism ensures that the charging control can respond in real time to changes in the internal thermal state of the battery and environmental disturbances, continuously optimizing the charging process, avoiding charging hysteresis or overcharging, and ultimately improving the temperature control accuracy, safety, and stability of shared battery charging and swapping cabinets in scenarios where multiple batteries and multiple compartments are charged simultaneously.

[0022] Example 2 Please refer to Figure 1 Specifically: S1 includes S11 and S12; S11. After the current battery is connected to the charging compartment and establishes communication with the cabinet control system, the original operating sequence is obtained from the current charging process and the current battery's historical charging process based on the battery identity information of the current battery. The original operating sequence includes the current command change sequence of the charging module, the actual current following sequence of the charging module, the current battery terminal voltage change sequence, the current battery temperature feedback sequence, the current charging compartment temperature change sequence, the adjacent charging compartment temperature change sequence, the idle charging compartment temperature change sequence, and the same operating sequence of the current battery in the historical charging process. Using the current command change sequence of the charging module as the time reference, the actual current following sequence, terminal voltage change sequence, temperature feedback sequence, and temperature change sequence of each charging compartment are adjusted to the same time axis. The moment when the current command changes is taken as the starting point of the slice, and the temperature feedback continuation process after the current follows into stable output is taken as the ending point of the slice, thus obtaining the first type of candidate segment in the current charging process. Then, from the current battery historical charging process, select historical segments that are in the same state of charge interval as the current charging process and include the switching of the charging current target value sent by the cabinet control system to the charging module and the corresponding adjustment of the actual output current of the charging module, as the second type of candidate segments. Through the above processing, the sequences scattered in the charging module, battery management system and charging compartment temperature monitoring unit are organized into latent heat analysis candidate fragments with the same time base. S12. Classify the candidate segments of latent heat analysis and encapsulate the candidate segments of current command change sequence and actual current follow sequence into current excitation morphology segments. Encapsulate the current battery terminal voltage change sequence and the candidate segments located before and after the current command change into a terminal voltage rebound segment. Candidate segments of the current battery temperature feedback sequence that are on the same time axis as the current excitation topography segment are encapsulated as temperature-sensing slow-response segments. Encapsulate the content of the second type of candidate segment of the current battery history charging process into a battery self-history reference segment; The current excitation morphology segment, terminal voltage rebound segment, temperature sensing slow response segment, warehouse background drift segment, and battery self-history reference segment are packaged into a latent heat analysis original feature group along the same time axis.

[0023] In this embodiment, by systematically organizing and slicing the original operating sequences of the current charging process and the battery's historical charging processes, the charging module current command, actual output current, terminal voltage changes, temperature feedback, and multi-source temperature sequences within the charging compartment can be unified onto the same time axis. This allows the dispersed data to form candidate segments for latent heat analysis with time alignment. This processing method breaks through the traditional approach that relies solely on single-point temperature or current values, providing a precise and continuous multi-source data foundation for subsequent charging control.

[0024] By selecting historical segments corresponding to the current state of charge from the current battery's historical charging process, and including current target value switching and actual output tracking information, the historical thermal response behavior of individual batteries can be incorporated into the analysis. This improvement can identify potential internal heat accumulation and response delays during the current charging process, enabling charging control to not only rely on real-time temperature feedback but also combine historical battery behavior to predict the internal thermal state, thereby improving the safety and accuracy of the charging process.

[0025] Through the above processing, this embodiment can capture the battery's internal electrothermal response and historical thermal behavior characteristics at the beginning of charging, providing basic data for subsequent latent heat misalignment assessment and latent heat cycle control. Compared with traditional control methods that rely on temperature overshoot or single measurement, this embodiment can identify the state of latent heat inside the battery before it is manifested, reducing the safety risks caused by temperature lag, and at the same time providing support for the charging module to perform dynamic cycle control, realizing active adjustment and closed-loop optimization of the charging process.

[0026] Example 3 Please refer to Figure 2 Specifically: S2 includes S21 and S22; S21. Read the original feature group of latent heat analysis, take the moment when the target value of the charging current changes in the current excitation morphology segment as the starting anchor point, take the moment when the actual output current of the charging module enters the target current holding process as the current following anchor point, take the moment when the terminal voltage changes from disturbance change to recovery change in the terminal voltage rebound segment as the voltage rebound anchor point, and take the moment when the temperature feedback sequence begins to form a continuous change trajectory in the temperature sensing slow response segment as the temperature sensing response anchor point. Based on the starting anchor point, current following anchor point, voltage rebound anchor point, and temperature sensing response anchor point, the current excitation morphology segment, terminal voltage rebound segment, and temperature sensing slow response segment are adjusted to the same charging time axis to form a coaxial latent heat segment group. Based on the temperature change sequence of the current charging compartment, the temperature change sequence of the adjacent charging compartment, and the temperature change sequence of the idle charging compartment in the background drift segment of the compartment, the cabinet's base thermal drift segment and the adjacent compartment's conductive thermal drift segment are extracted. The content in the temperature sensing slow response segment that has the same source of change as the cabinet's base thermal drift segment and the adjacent compartment's conductive thermal drift segment is stripped, and the temperature sensing content originating from the current battery's own heat release is retained. The retained temperature sensing content forms the compartment stripping.

[0027] S22. The current excitation morphology segment in the coaxial latent heat segment group is taken as the excitation axis, the terminal voltage rebound segment is taken as the polarization recovery axis, and the temperature sensing slow response segment after the heat shadow stripping of the warehouse domain is taken as the temperature sensing axis. The excitation axis, polarization recovery axis and temperature sensing axis are morphologically folded according to the order of appearance, continuation segment and convergence segment of the excitation axis, polarization recovery axis and temperature sensing axis in the same charging time axis to generate electrothermal phase afterimage. The battery's historical reference segment is invoked, and the same event anchoring coaxialization and phase folding rules as the current charging process are used to process the battery's historical reference segment into a historical electrothermal phase afterimage. The electrothermal phase ghost image generated during the current charging process is compared with the historical electrothermal phase ghost image using a self-reference comparison, and thermal inertia deviation pattern is generated from the comparison result. The electrothermal phase residue, thermal inertia deviation pattern, and bin area peeling shadow are packaged into a ternary latent heat characterization group according to the same charging time axis.

[0028] S3 includes S31 and S32; S31. Read the ternary latent heat characterization group, and use the warehouse stripping shadow as the environmental attribution entry point to divide the source branch of the temperature sensing content in the electrothermal phase residual image. Among them, the temperature-sensing content that is received by the warehouse domain stripping image is classified into the warehouse domain source branch, and the temperature-sensing content that is not received by the warehouse domain stripping image but is still retained in the electrothermal phase residual image is classified into the battery source branch. Based on the battery source branch, the disturbance content formed by the current excitation morphology segment, the recovery content formed by the terminal voltage rebound segment, and the temperature sensing content formed by the temperature sensing slow response segment in the electrothermal phase residual image are arranged into a latent heat misalignment sequence according to the entry order, continuation order, and recovery order in the same charging time axis. The thermal inertia deviation pattern is coupled to the latent thermal misalignment sequence. The segments of the current electrothermal phase residual image that appear earlier, appear later, are retained longer, or fade earlier relative to the historical electrothermal phase residual image are marked into the latent thermal misalignment sequence to form a latent thermal misalignment discrimination chain.

[0029] S32. Generate the initial evaluation state of latent heat misalignment based on the latent heat misalignment discrimination chain. The specific process is as follows: When the current latent heat misalignment discrimination chain has temperature sensing content attached to the source branch of the storage area, and the battery source branch has not formed a continuous arrangement from current disturbance and terminal voltage recovery to temperature sensing content, a false initial evaluation state of storage area heat is generated. The battery source branch in the current latent heat misalignment discrimination chain retains the temperature sensing content, and the latent heat misalignment sequence with the self-historical snapping label is generated when the current disturbance content and the terminal voltage recovery content have entered and continued, while the temperature sensing content has not yet entered the corresponding arrangement, thus generating the unreleased initial evaluation state of latent heat. The battery source branch in the current latent heat misalignment discrimination chain retains the temperature sensing content, and the latent heat misalignment sequence with the self-historical snapping label is generated when the temperature sensing content has been followed by the current disturbance content and the terminal voltage recovery content, generating the initial evaluation state of temperature release. The initial assessment states of latent heat, heat release, and pseudo-heat in the storage area are fitted to obtain the initial assessment state of latent heat misalignment.

[0030] In this embodiment, by folding the coaxial latent heat segment group into a triaxial shape and combining it with self-reference comparison with the battery's historical reference segment, electrothermal phase residue and thermal inertia deviation texture are generated. This enables the identification of the deviation between the current battery's thermal response path and its historical thermal behavior during the current charging process. This innovative improvement breaks through the single-charge temperature judgment method, enabling the system to distinguish between the internal heat accumulation of the battery and the difference in historical behavior reference, achieving more accurate thermal state modeling.

[0031] By dividing the latent heat characterization set into source branches and generating latent heat misalignment sequences, the system can distinguish whether the temperature sensing content originates from the battery's own heat release or from thermal disturbances in the enclosure environment. Combined with the deviation segments marked by thermal inertia deviation patterns, the system can classify the battery's current internal thermal hysteresis state, temperature tracking state, and enclosure environment disturbance state into initial assessment states of unreleased internal latent heat, initial assessment states of temperature tracking release, and initial assessment states of pseudo-heat in the enclosure, respectively. This approach overcomes the shortcomings of traditional methods that cannot distinguish between environmental disturbances and the battery's own thermal behavior.

[0032] By fitting three types of initial evaluation states to form a latent heat misalignment initial evaluation state, it can comprehensively reflect the battery's internal thermal hysteresis, temperature following, and environmental disturbance state at the beginning of charging, providing an accurate basis for subsequent latent heat clock code generation and charging module control. Compared with traditional methods that rely on temperature overshoot or simple current control, this embodiment achieves active adjustment and dynamic closed-loop management of the shared battery charging process, reducing the safety risks caused by temperature hysteresis and improving the safety and stability of the charging process.

[0033] Example 4 Please refer to Figure 1 Specifically: S4 includes S41 and S42; S41. Take the initial evaluation state of latent heat misalignment as the beat entry point, and take the electrothermal phase afterimage, thermal inertia deviation pattern and warehouse peeling shadow as the source of beat arrangement; When the current latent heat misalignment initial assessment state is the internal latent unreleased initial assessment state, extract the residual content of current disturbance and terminal voltage recovery that has been formed but the temperature sensing content has not yet been received from the electrothermal phase residual image. Then, extract the deviation segment generated by the current electrothermal phase residual image relative to the historical electrothermal phase residual image from the thermal inertia deviation pattern. Use the warehouse domain stripping shadow to exclude the temperature sensing content after the cabinet environment thermal drift participates, and generate the pre-release candidate skeleton. When the current latent heat misalignment initial assessment state is the temperature release initial assessment state, the delayed appearance segment and extended retention segment of the current electrothermal phase remnant image relative to the historical electrothermal phase remnant image are extracted from the thermal inertia deviation pattern. Then, the temperature sensing content that has been continued in the electrothermal phase remnant image is combined with the temperature sensing content after the cabinet environment thermal drift is excluded by the warehouse domain stripping shadow to generate the swing candidate skeleton. When the current latent heat misalignment initial assessment state is the warehouse domain pseudo-heat initial assessment state, the cabinet control system uses the temperature sensing content received by the warehouse domain stripping shadow as the source of the rhythm arrangement to generate the review candidate skeleton; The pre-release candidate skeleton, the swing candidate skeleton, and the re-core candidate skeleton are fitted into a latent heat beat candidate skeleton.

[0034] S42. Perform single-code encapsulation on the latent heat beat candidate skeleton to obtain the latent heat beat code. The specific process is as follows: When the current latent heat beat candidate skeleton is a pre-release candidate skeleton, the slow-release intervention segment is taken as the first charging action, the temperature sensing and receiving verification segment is taken as the intermediate verification action, and the regular charging return segment is taken as the subsequent charging action, and it is encapsulated into a pre-release latent heat beat code. When the current latent heat beat candidate skeleton is a swing candidate skeleton, the slow-release intervention segment, the regular charging recovery segment, the slow-release convergence segment, and the self-reference verification segment are encapsulated into a swing-type latent heat beat code in the execution order; When the current latent heat beat candidate skeleton is a verification candidate skeleton, the warehouse stripping recalculation segment and the latent heat misalignment initial evaluation state return segment are encapsulated into a verification latent heat beat code; The pre-release latent heat beat code, the swing-type latent heat beat code, and the verification-type latent heat beat code are encapsulated into a latent heat beat code.

[0035] In this embodiment, by using the latent heat misalignment initial assessment state as the cycle entry point and the electrothermal phase residue, thermal inertia deviation pattern, and bin area peeling shadow as the cycle arrangement source, the temperature analysis results can be converted into the cycle arrangement basis during the charging process. Compared to the method of reducing current or stopping charging based solely on the current temperature value, this embodiment does not execute control only after an anomaly has been formed in the temperature feedback. Instead, after the latent heat misalignment initial assessment state, the temperature-tracking release initial assessment state, and the bin area pseudo-heat initial assessment state have been formed, it generates candidate charging paths that match the current thermal response process in advance, allowing the temperature analysis results to enter the charging module control process.

[0036] In the initial assessment state before the internal latent heat is released, the residual content of current disturbance and terminal voltage recovery that has been formed but not yet received by temperature sensing content is extracted from the electrothermal phase residual image. This residual content is then combined with the deviation segments in the thermal inertia deviation pattern to generate a candidate skeleton for pre-release. Through this processing, the charging cabinet can prioritize the formation of a slow-release intervention segment, a temperature sensing verification segment, and a regular charging reconnection segment for scenarios where "internal thermal effects have occurred but temperature feedback has not followed." This prevents the charging module from continuing to operate according to a single charging rhythm and enables the subsequent charging process to adapt to the lag in the external manifestation of internal latent heat.

[0037] Under the initial assessment state of temperature release and the initial assessment state of latent heat misalignment, a swing-back candidate skeleton and a verification candidate skeleton are generated respectively. The swing-back candidate skeleton can incorporate the already continuous temperature sensing content, the delayed occurrence segment generated from historical comparison, and the extended retention segment into the charging cycle arrangement, so that the charging process can switch between the slow release intervention segment, the regular charging recovery segment, the slow release convergence segment, and the self-reference verification segment. When the temperature sensing content comes from the thermal drift of the cabinet environment, the verification candidate skeleton can first execute the cabinet stripping recalculation segment and the latent heat misalignment initial assessment state return segment, so as to avoid directly using environmental changes as the basis for the current internal heat release of the battery.

[0038] By encapsulating the pre-release candidate skeleton, the swing-back candidate skeleton, and the verification candidate skeleton with single codes, pre-release latent heat beat codes, swing-back latent heat beat codes, and verification latent heat beat codes are generated. This allows the multi-branch temperature analysis results to be converged into a single control entry point that the charging module can execute. Thus, the problem of the disconnect between temperature analysis and charging control actions in the background technology is solved. The charging cabinet can output the corresponding charging beat path based on different latent heat misalignment initial evaluation states, and provide a clear control basis for the subsequent execution of charging actions and feedback updates in S5.

[0039] Example 5 Please refer to Figure 3 Specifically: S5 includes S51 and S52; S51. Read the tick segment name and execution order encapsulated in the latent heat tick code, and convert the tick segment name into a current control action that the charging module can execute; When the current latent heat beat code is a pre-release latent heat beat code, the slow-release intervention segment in the pre-release latent heat beat code is converted into a slow-release charging command, so that the current battery enters the slow-release charging segment. When the current latent heat beat code is a swing-type latent heat beat code, the slow-release intervention segment, the conventional charging recovery segment, and the slow-release convergence segment in the swing-type latent heat beat code are sequentially converted into a continuous charging action chain. When the current latent heat beat code is a verification type latent heat beat code, the current temperature sensing content is not directly used as the basis for the current internal heat release of the battery. Instead, the current charging process is controlled to enter the domain verification action chain, so that the domain stripping shadow is regenerated first, and then enters the latent heat misalignment initial evaluation state update process.

[0040] S52. After the charging action is executed, the original feature group construction rules of latent heat analysis are used to form new latent heat analysis candidate segments for the current charging process after the charging action is executed. Then, according to the event anchoring coaxialization, warehouse thermal shadow stripping, phase folding and self-reference comparison in S2, the electrothermal phase residue, thermal inertia deviation pattern and warehouse stripping shadow are regenerated. When the current latent heat beat code is a pre-release latent heat beat code, the electrothermal phase image is regenerated with the current disturbance content, terminal voltage recovery content and temperature sensing content after the execution of the slow-release charging segment, and the regenerated electrothermal phase image is sent back to S3. When the current latent heat beat code is a swing-type latent heat beat code, the electrothermal phase after the execution of the slow-release intervention segment, the regular charging recovery segment and the slow-release convergence segment is used as the current afterimage chain, and the historical electrothermal phase afterimage generated by the battery from the historical reference segment is used as the historical afterimage chain. The thermal inertia deviation pattern is regenerated and sent back to S3. When the current latent heat beat code is a verification latent heat beat code, the warehouse domain stripping image is regenerated based on the temperature changes of the current charging warehouse, adjacent charging warehouses, and idle charging warehouses after the warehouse domain verification action chain is executed, and the regenerated warehouse domain stripping image is sent back to S3. Finally, through the process of "decoding and executing latent heat beat codes, reconstructing segments after execution, updating the ternary latent heat characterization group, and returning the initial evaluation state of latent heat misalignment", the charging control action is no longer limited to one-time segmented charging, but can continue to be updated according to the current battery's electrothermal response after the charging action.

[0041] In this embodiment, by reading and decoding the tick segment names and execution order encapsulated in the latent heat tick code, the multi-branch temperature analysis results can be directly converted into current control actions that the charging module can execute. Compared with traditional control methods that rely solely on temperature thresholds or single current strategies, this embodiment can generate corresponding charging action chains based on different latent heat misalignment initial evaluation states, enabling the charging module to accurately match the internal thermal state of the battery during execution.

[0042] Under the control of the pre-release and oscillating latent heat clock codes, the charging module executes a slow-release charging phase, a regular charging recovery phase, and a slow-release convergence phase, allowing the internal heat of the battery to be released and dissipated reasonably during the charging process. This approach avoids the problem of continuous high-current charging in traditional methods before the internal heat of the battery becomes apparent, thereby reducing the potential risk of temperature hysteresis, improving charging safety, and extending the battery's lifespan.

[0043] Under the control of the verification-type latent heat cycle code, the compartment stripping image is regenerated by executing the compartment verification action chain, enabling the charging control to distinguish between environmental thermal disturbances and the battery's own heat release. This innovation allows the charging cabinet to maintain accurate temperature analysis even when multiple compartments are charging simultaneously or when the ambient temperature fluctuates, avoiding the misleading influence of environmental interference on charging decisions and ensuring more reliable temperature control decisions.

[0044] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended technical solutions and their equivalents.

Claims

1. A method for temperature analysis and charging process control of a shared battery charging and swapping cabinet, characterized in that: Includes the following steps: S1. After the current battery is connected to the charging compartment, a latent heat analysis original feature group is formed based on the current charging process and the original operating sequence of the current battery's historical charging process. S2. Perform fragment alignment, background stripping, and self-reference comparison on the original feature group of latent heat analysis to generate a ternary latent heat characterization group, which includes electrothermal phase residue, thermal inertia deviation pattern, and warehouse stripping shadow. S3. Based on the ternary latent heat characterization group, the initial assessment state of latent heat misalignment is generated. The initial assessment state of latent heat misalignment includes the initial assessment state of internal unreleased latent heat, the initial assessment state of heat release after heat pursuit, and the initial assessment state of warehouse pseudo-heat. S4. Generate latent heat beat codes based on the initial assessment of latent heat misalignment and the three-dimensional latent heat characterization group. The latent heat beat codes include pre-release type latent heat beat codes, swing type latent heat beat codes, and verification type latent heat beat codes. S5. The charging module executes the charging cycle according to the latent heat beat code. The pre-release latent heat beat code is used to control the current battery to enter the slow-release charging stage. The swing-back latent heat beat code is used to control the current battery to enter the slow-release charging stage, the normal charging recovery stage, and the slow-release convergence stage. The verification latent heat beat code is used to regenerate the bin area stripping image and return the regenerated electrothermal phase residue, thermal inertia deviation ripple, and bin area stripping image to update the initial evaluation state of latent heat misalignment.

2. The method for temperature analysis and charging process control of a shared battery charging and swapping cabinet according to claim 1, characterized in that: S1 includes S11 and S12; S11. After the current battery is connected to the charging compartment and establishes communication with the cabinet control system, the original operating sequence is obtained from the current charging process and the current battery's historical charging process based on the battery identity information of the current battery. The original operating sequence includes the current command change sequence of the charging module, the actual current following sequence of the charging module, the current battery terminal voltage change sequence, the current battery temperature feedback sequence, the current charging compartment temperature change sequence, the adjacent charging compartment temperature change sequence, the idle charging compartment temperature change sequence, and the same operating sequence of the current battery in the historical charging process. Using the current command change sequence of the charging module as the time reference, the actual current following sequence, terminal voltage change sequence, temperature feedback sequence, and temperature change sequence of each charging compartment are adjusted to the same time axis. The moment when the current command changes is taken as the starting point of the slice, and the temperature feedback continuation process after the current follows into stable output is taken as the ending point of the slice, thus obtaining the first type of candidate segment in the current charging process. Then, from the current battery historical charging process, select historical segments that are in the same state of charge interval as the current charging process and include the switching of the charging current target value sent by the cabinet control system to the charging module and the corresponding adjustment of the actual output current of the charging module, as the second type of candidate segments. Through the above processing, the sequences scattered in the charging module, battery management system and charging compartment temperature monitoring unit are organized into latent heat analysis candidate fragments with the same time base. S12. Classify the candidate segments of latent heat analysis and encapsulate the candidate segments of current command change sequence and actual current follow sequence into current excitation morphology segments. Encapsulate the current battery terminal voltage change sequence and the candidate segments located before and after the current command change into a terminal voltage rebound segment. Candidate segments of the current battery temperature feedback sequence that are on the same time axis as the current excitation topography segment are encapsulated as temperature-sensing slow-response segments. Encapsulate the content of the second type of candidate segment of the current battery history charging process into a battery self-history reference segment; The current excitation morphology segment, terminal voltage rebound segment, temperature sensing slow response segment, warehouse background drift segment, and battery self-history reference segment are packaged into a latent heat analysis original feature group along the same time axis.

3. The method for temperature analysis and charging process control of a shared battery charging and swapping cabinet according to claim 2, characterized in that: S2 includes S21 and S22; S21. Read the original feature group of latent heat analysis, take the moment when the target value of the charging current changes in the current excitation morphology segment as the starting anchor point, take the moment when the actual output current of the charging module enters the target current holding process as the current following anchor point, take the moment when the terminal voltage changes from disturbance change to recovery change in the terminal voltage rebound segment as the voltage rebound anchor point, and take the moment when the temperature feedback sequence begins to form a continuous change trajectory in the temperature sensing slow response segment as the temperature sensing response anchor point. Based on the starting anchor point, current following anchor point, voltage rebound anchor point, and temperature sensing response anchor point, the current excitation morphology segment, terminal voltage rebound segment, and temperature sensing slow response segment are adjusted to the same charging time axis to form a coaxial latent heat segment group. Based on the temperature change sequence of the current charging compartment, the temperature change sequence of the adjacent charging compartment, and the temperature change sequence of the idle charging compartment in the background drift segment of the compartment, the cabinet's base thermal drift segment and the adjacent compartment's conductive thermal drift segment are extracted. The content in the temperature sensing slow response segment that has the same source of change as the cabinet's base thermal drift segment and the adjacent compartment's conductive thermal drift segment is stripped, and the temperature sensing content originating from the current battery's own heat release is retained. The retained temperature sensing content forms the compartment stripping.

4. The method for temperature analysis and charging process control of a shared battery charging and swapping cabinet according to claim 3, characterized in that: S22. The current excitation morphology segment in the coaxial latent heat segment group is taken as the excitation axis, the terminal voltage rebound segment is taken as the polarization recovery axis, and the temperature sensing slow response segment after the heat shadow stripping of the warehouse domain is taken as the temperature sensing axis. The excitation axis, polarization recovery axis and temperature sensing axis are morphologically folded according to the order of appearance, continuation segment and convergence segment of the excitation axis, polarization recovery axis and temperature sensing axis in the same charging time axis to generate electrothermal phase afterimage. The battery's historical reference segment is invoked, and the same event anchoring coaxialization and phase folding rules as the current charging process are used to process the battery's historical reference segment into a historical electrothermal phase afterimage. The electrothermal phase ghost image generated during the current charging process is compared with the historical electrothermal phase ghost image using a self-reference comparison, and thermal inertia deviation pattern is generated from the comparison result. The electrothermal phase residue, thermal inertia deviation pattern, and bin area peeling shadow are packaged into a ternary latent heat characterization group according to the same charging time axis.

5. The method for temperature analysis and charging process control of a shared battery charging and swapping cabinet according to claim 4, characterized in that: S3 includes S31 and S32; S31. Read the ternary latent heat characterization group, and use the warehouse stripping shadow as the environmental attribution entry point to divide the source branch of the temperature sensing content in the electrothermal phase residual image. Among them, the temperature-sensing content that is received by the warehouse domain stripping image is classified into the warehouse domain source branch, and the temperature-sensing content that is not received by the warehouse domain stripping image but is still retained in the electrothermal phase residual image is classified into the battery source branch. Based on the battery source branch, the disturbance content formed by the current excitation morphology segment, the recovery content formed by the terminal voltage rebound segment, and the temperature sensing content formed by the temperature sensing slow response segment in the electrothermal phase residual image are arranged into a latent heat misalignment sequence according to the entry order, continuation order, and recovery order in the same charging time axis. The thermal inertia deviation pattern is coupled to the latent thermal misalignment sequence. The segments of the current electrothermal phase residual image that appear earlier, appear later, are retained longer, or fade earlier relative to the historical electrothermal phase residual image are marked into the latent thermal misalignment sequence to form a latent thermal misalignment discrimination chain.

6. The method for temperature analysis and charging process control of a shared battery charging and swapping cabinet according to claim 5, characterized in that: S32. Generate the initial evaluation state of latent heat misalignment based on the latent heat misalignment discrimination chain. The specific process is as follows: When the current latent heat misalignment discrimination chain has temperature sensing content attached to the source branch of the storage area, and the battery source branch has not formed a continuous arrangement from current disturbance and terminal voltage recovery to temperature sensing content, a false initial evaluation state of storage area heat is generated. The battery source branch in the current latent heat misalignment discrimination chain retains the temperature sensing content, and the latent heat misalignment sequence with the self-historical snapping label is generated when the current disturbance content and the terminal voltage recovery content have entered and continued, while the temperature sensing content has not yet entered the corresponding arrangement, thus generating the unreleased initial evaluation state of latent heat. The battery source branch in the current latent heat misalignment discrimination chain retains the temperature sensing content, and the latent heat misalignment sequence with the self-historical snapping label is generated when the temperature sensing content has been followed by the current disturbance content and the terminal voltage recovery content, generating the initial evaluation state of temperature release. The initial assessment states of latent heat, heat release, and pseudo-heat in the storage area are fitted to obtain the initial assessment state of latent heat misalignment.

7. The method for temperature analysis and charging process control of a shared battery charging and swapping cabinet according to claim 6, characterized in that: S4 includes S41 and S42; S41. Take the initial evaluation state of latent heat misalignment as the beat entry point, and take the electrothermal phase afterimage, thermal inertia deviation pattern and warehouse peeling shadow as the source of beat arrangement; When the current latent heat misalignment initial assessment state is the internal latent unreleased initial assessment state, extract the residual content of current disturbance and terminal voltage recovery that has been formed but the temperature sensing content has not yet been received from the electrothermal phase residual image. Then, extract the deviation segment generated by the current electrothermal phase residual image relative to the historical electrothermal phase residual image from the thermal inertia deviation pattern. Use the warehouse domain stripping shadow to exclude the temperature sensing content after the cabinet environment thermal drift participates, and generate the pre-release candidate skeleton. When the current latent heat misalignment initial assessment state is the temperature release initial assessment state, the delayed appearance segment and extended retention segment of the current electrothermal phase remnant image relative to the historical electrothermal phase remnant image are extracted from the thermal inertia deviation pattern. Then, the temperature sensing content that has been continued in the electrothermal phase remnant image is combined with the temperature sensing content after the cabinet environment thermal drift is excluded by the warehouse domain stripping shadow to generate the swing candidate skeleton. When the current latent heat misalignment initial assessment state is the warehouse domain pseudo-heat initial assessment state, the cabinet control system uses the temperature sensing content received by the warehouse domain stripping shadow as the source of the rhythm arrangement to generate the review candidate skeleton; The pre-release candidate skeleton, the swing candidate skeleton, and the re-core candidate skeleton are fitted into a latent heat beat candidate skeleton.

8. The method for temperature analysis and charging process control of a shared battery charging and swapping cabinet according to claim 7, characterized in that: S42. Perform single-code encapsulation on the latent heat beat candidate skeleton to obtain the latent heat beat code. The specific process is as follows: When the current latent heat beat candidate skeleton is a pre-release candidate skeleton, the slow-release intervention segment is taken as the first charging action, the temperature sensing and receiving verification segment is taken as the intermediate verification action, and the regular charging return segment is taken as the subsequent charging action, and it is encapsulated into a pre-release latent heat beat code. When the current latent heat beat candidate skeleton is a swing candidate skeleton, the slow-release intervention segment, the regular charging recovery segment, the slow-release convergence segment, and the self-reference verification segment are encapsulated into a swing-type latent heat beat code in the execution order; When the current latent heat beat candidate skeleton is a verification candidate skeleton, the warehouse stripping recalculation segment and the latent heat misalignment initial evaluation state return segment are encapsulated into a verification latent heat beat code; The pre-release latent heat beat code, the swing-type latent heat beat code, and the verification-type latent heat beat code are encapsulated into a latent heat beat code.

9. The method for temperature analysis and charging process control of a shared battery charging and swapping cabinet according to claim 8, characterized in that: S5 includes S51 and S52; S51. Read the tick segment name and execution order encapsulated in the latent heat tick code, and convert the tick segment name into a current control action that the charging module can execute; When the current latent heat beat code is a pre-release latent heat beat code, the slow-release intervention segment in the pre-release latent heat beat code is converted into a slow-release charging command, so that the current battery enters the slow-release charging segment. When the current latent heat beat code is a swing-type latent heat beat code, the slow-release intervention segment, the conventional charging recovery segment, and the slow-release convergence segment in the swing-type latent heat beat code are sequentially converted into a continuous charging action chain. When the current latent heat beat code is a verification type latent heat beat code, the current temperature sensing content is not directly used as the basis for the current internal heat release of the battery. Instead, the current charging process is controlled to enter the domain verification action chain, so that the domain stripping shadow is regenerated first, and then enters the latent heat misalignment initial evaluation state update process.

10. The method for temperature analysis and charging process control of a shared battery charging and swapping cabinet according to claim 9, characterized in that: S52. After the charging action is executed, the original feature group construction rules of latent heat analysis are used to form new latent heat analysis candidate segments for the current charging process after the charging action is executed. Then, according to the event anchoring coaxialization, warehouse thermal shadow stripping, phase folding and self-reference comparison in S2, the electrothermal phase residue, thermal inertia deviation pattern and warehouse stripping shadow are regenerated. When the current latent heat beat code is a pre-release latent heat beat code, the electrothermal phase image is regenerated with the current disturbance content, terminal voltage recovery content and temperature sensing content after the execution of the slow-release charging segment, and the regenerated electrothermal phase image is sent back to S3. When the current latent heat beat code is a swing-type latent heat beat code, the electrothermal phase after the execution of the slow-release intervention segment, the regular charging recovery segment and the slow-release convergence segment is used as the current afterimage chain, and the historical electrothermal phase afterimage generated by the battery from the historical reference segment is used as the historical afterimage chain. The thermal inertia deviation pattern is regenerated and sent back to S3. When the current latent heat beat code is a verification latent heat beat code, the warehouse domain stripping image is regenerated based on the temperature changes of the current charging warehouse, adjacent charging warehouses, and idle charging warehouses after the warehouse domain verification action chain is executed, and the regenerated warehouse domain stripping image is sent back to S3. Finally, through the process of "decoding and executing latent heat beat codes, reconstructing segments after execution, updating the ternary latent heat characterization group, and returning the initial evaluation state of latent heat misalignment", the charging control action is no longer limited to one-time segmented charging, but can continue to be updated according to the current battery's electrothermal response after the charging action.

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