Intelligent management method and system for battery compartment of battery swap station and electronic equipment

Abstract

The invention relates to the technical field of battery swap stations, in particular to an intelligent management method and system for a battery compartment of a battery swap station and electronic equipment. The method comprises the following steps: firstly, obtaining type information, size parameters and weight parameters of a battery pack through an intelligent identification system; then the system obtains an overall performance coefficient and a partition performance coefficient according to the type information, automatically selects an optimal bin position, and controls a transfer mechanism to convey the battery pack to an inlet position; then the V-shaped guide groove dynamically adjusts the opening angle and width according to the size parameters, and meanwhile the lifting type auxiliary tray presets the supporting height according to the weight parameters; in the leading-in process, the stress sensors distributed at the key positions monitor the stress state in real time, a protection mechanism is triggered immediately once abnormity is detected, the problems that traditional battery replacement equipment is poor in adaptability and low in safety are solved, the battery replacement equipment can adapt to battery pack deformation, battery packs of different models and other changes through the flexible positioning mechanism, and the safety of the battery replacement equipment is improved. And the battery replacement efficiency is obviously improved.

Description

Technical Field

[0001] The present application relates to the technical field of battery swap stations, and in particular to an intelligent management method, system and electronic equipment for battery compartments in battery swap stations. Background Art

[0002] With the rapid development of the new energy vehicle industry, battery swapping has gradually become an important energy replenishment solution due to its fast and convenient features. The battery swap station system can significantly shorten the vehicle refueling time and improve operational efficiency through a standardized and automated battery replacement process, which is especially suitable for scenarios such as fleet operations.

[0003] The existing battery swap station system uses fixed rails and positioning mechanisms to import battery packs. This mechanical structure uses preset rails and fixed mechanical arms, combined with multiple sets of position sensors, to achieve precise positioning and automatic replacement of battery packs. It has been applied and verified in many demonstration projects. However, since the battery pack may be slightly deformed or worn during use, and the sizes of battery packs of different brands and models vary, the existing positioning mechanism is difficult to adapt to these changes, which can easily cause jamming or collision, affecting battery replacement efficiency and equipment life. This situation needs further improvement. Summary of the invention

[0004] In order to solve the problem that the existing battery swap station system is difficult to adapt to various changes when importing battery packs, the present application provides a battery swap station battery compartment intelligent management method, system and electronic equipment, which adopts the following technical solutions: In a first aspect, the present application provides a battery compartment intelligent management method for a battery swap station, which is applied to a battery swap station system. The battery swap station system includes a battery compartment array, a battery transfer mechanism, and a flexible positioning device. The battery compartment intelligent management method includes the following steps: Obtain the type information, size parameters and weight parameters of the battery pack to be replaced; Receive battery transfer instructions; According to the type information, an overall performance coefficient and a partition performance coefficient are obtained, wherein the overall performance coefficient includes a battery pack replacement efficiency coefficient and a safety stability coefficient, and the partition performance coefficient includes a warehouse environment adaptability coefficient and a position matching coefficient; According to the overall performance coefficient and the partition performance coefficient, a target battery storage position is selected, wherein the target battery storage position is provided with a flexible positioning device, wherein the flexible positioning device includes a retractable V-shaped guide groove and a lifting auxiliary tray; Controlling the battery transfer mechanism to transfer the corresponding battery pack to the entrance position of the target battery storage location; Controlling the V-shaped guide groove to expand to a preset position matching the size parameters; Controlling the lifting auxiliary tray to adjust to a preset height according to the weight parameter; The battery pack is introduced into and fixed in the target battery compartment by the cooperation of the V-shaped guide groove and the lifting auxiliary tray; Among them, the V-shaped guide groove and the lifting auxiliary tray are both provided with force sensors for real-time detection of the force data of the battery pack during the import process. When abnormal force is detected, a protection mechanism is triggered to stop the import action.

[0005] By adopting the above technical solution, in actual applications, since the battery pack may be slightly deformed after multiple charge and discharge cycles, or the connection parts may become loose due to transportation vibration, the use of traditional rigid guiding mechanisms is prone to jamming; at the same time, battery packs of different brands and models differ in size and weight, and fixed parameter import devices are difficult to meet the needs of flexible battery replacement; the present application first obtains the type information, size parameters and weight parameters of the battery pack through an intelligent recognition system; then the system obtains the overall performance coefficient and the partition performance coefficient according to the type information, automatically selects the optimal position, and controls the transfer mechanism to transport the battery pack to the entrance position; then the V-shaped guide groove dynamically adjusts the opening angle and width according to the size parameters, and the lifting auxiliary tray presets the support height according to the weight parameters; during the import process, the force sensors distributed at key positions monitor the force state in real time, and once an abnormality is detected, the protection mechanism is immediately triggered, which solves the problems of poor adaptability and low safety of traditional battery replacement equipment, and through the flexible positioning mechanism, it can adapt to changes such as battery pack deformation and different models of battery packs, significantly improving the battery replacement efficiency.

[0006] Optionally, the battery compartment array is provided with a cache compartment, and the cache compartment is used to temporarily store the battery packs to be processed during the battery replacement process. The method further includes the following steps: After the battery transport mechanism obtains the battery pack, the battery transport mechanism is controlled to transport the battery pack to the cache location for temporary storage.

[0007] By adopting the above technical solution, when multiple vehicles are waiting in line for battery replacement, if a one-to-one battery replacement is carried out directly, the subsequent vehicles will have to wait too long. At the same time, if there is a temporary shortage of fully charged battery packs corresponding to a certain model, the battery replacement process will also be blocked. The system of this application presets a number of cache slots in the battery slot array. When the battery transfer mechanism removes the battery pack from the vehicle, it is first transferred to the cache slot for temporary storage. This can immediately release the parking space for the next vehicle to prepare for battery replacement, thereby improving the parallel processing capability of the battery swap station and optimizing the turnover efficiency of the battery pack.

[0008] Optionally, the method further comprises the following steps: Receive historical battery swap data sent by the battery swap station management system; Real-time collection of vehicle information currently waiting in line; Calculate a first evaluation coefficient based on the historical battery replacement data and current queuing information; A second evaluation coefficient is calculated based on the battery pack exchange record; Obtaining a comprehensive priority index based on a weighted calculation of the first evaluation coefficient and the second evaluation coefficient; When the battery packs in the cache slots need to be allocated to the charging slots, charging resources are allocated according to the comprehensive priority index so that the battery packs with higher priorities are given priority to obtain charging resources.

[0009] By adopting the above technical solution, in actual operation, there are obvious differences in the demand for battery replacement in different time periods and for different models. If a simple first-in-first-out strategy is adopted, there will often be a situation where the battery packs of popular models are in short supply, while the battery packs of unpopular models occupy charging resources; this application first analyzes the historical battery replacement data and the current queue vehicle information, predicts the user's possible electricity demand characteristics, and obtains the first evaluation coefficient; secondly, based on the exchange records directly obtained during the battery replacement process, such as service timestamp, vehicle type, number of services on the day and other information, the second evaluation coefficient is calculated; finally, a comprehensive priority index is obtained through weighted calculation to ensure that battery packs with high demand for battery replacement can obtain charging resources first.

[0010] Optionally, selecting a target battery compartment according to the overall performance coefficient and the partition performance coefficient comprises the following steps: Obtain the number of battery replacement operations completed per unit time corresponding to the battery pack replacement efficiency coefficient and the degree of equipment wear corresponding to the safety and stability coefficient, and calculate the equipment operation status score; Obtain the temperature and humidity distribution data corresponding to the warehouse environment adaptability coefficient and the electromagnetic interference intensity corresponding to the location matching coefficient, and calculate the environment adaptability score; Based on the weighted combination of the equipment operation status score and the environmental adaptability score, combined with the real-time occupancy rate of the warehouse, a warehouse dynamic score is generated; The matching warehouses are sorted according to the warehouse dynamic scores, and the warehouse with the highest score is determined as the target warehouse.

[0011] By adopting the above technical solution, in actual operation, if only the simple factor of whether the warehouse is idle is considered, the actual operating status and environmental adaptability of the warehouse are ignored, which may lead to uneven equipment loss and unstable battery replacement quality; this application first evaluates the operating status of the warehouse by analyzing the number of battery replacements per unit time and the degree of equipment wear; the environmental adaptability of the warehouse is evaluated based on the temperature and humidity distribution and the electromagnetic interference intensity; finally, these evaluation results are combined with the real-time occupancy rate to generate a dynamic warehouse score and select the optimal warehouse. By comprehensively evaluating the equipment efficiency, safety and environmental adaptability, it can not only optimize resource allocation and extend equipment life, but also ensure the stability and reliability of battery replacement operations.

[0012] Optionally, sorting the matching warehouses according to the warehouse dynamic score and determining the warehouse with the highest score as the target warehouse further includes the following steps: Record and update the cumulative usage times of each adapted position; When the cumulative number of times used reaches a preset threshold, a maintenance inspection reminder is triggered; The comprehensive score is calculated based on the dynamic score of the storage space, the cumulative number of times it has been used, and the time of the most recent maintenance inspection; Select the position with the highest comprehensive score and that has not reached the maintenance inspection time as the target position; The dynamic position score and cumulative usage times of each applicable position are updated in real time.

[0013] By adopting the above technical solutions, in actual operation, some positions are used too frequently but not maintained in time, resulting in increased wear of mechanical parts, and eventually failures occur, affecting the entire battery replacement process; at the same time, the traditional passive maintenance mode is often handled only after the equipment fails, which not only increases the maintenance cost, but also causes a sudden drop in the service capacity of the battery replacement station; this application first establishes a usage file for each position, and records and updates key indicators such as the cumulative number of uses and operation success rate in real time; when the cumulative number of uses approaches the preset safety threshold, the system will automatically trigger a maintenance inspection reminder to ensure that preventive maintenance is carried out in time before performance declines; when selecting the target position, the system comprehensively considers the dynamic score of the position, service life and maintenance cycle factors, calculates the comprehensive score of each position, and gives priority to the position with the highest score and in a healthy operating state; at the same time, the system will continuously update various operating data to realize dynamic monitoring of the position status, improve the overall reliability of the equipment, and significantly extend the service life of the position through load balancing.

[0014] Optionally, a comprehensive score is calculated based on the dynamic score of the storage space, the cumulative number of times used, and the time of the most recent maintenance inspection, specifically including the following steps: Normalize the cumulative number of times used to obtain N'=N / Nmax, where N is the cumulative number of times used, N' is the normalized cumulative number of times used, and Nmax is the maximum number of times used threshold; According to the most recent maintenance inspection time, calculate Δt=current time-most recent maintenance inspection time, where Δt is the time from the last maintenance; According to the warehouse dynamic score, the normalized cumulative usage times and the time since the last maintenance, CS=aDS+bN′+cf(Δt) is calculated, wherein a, b, c are weight coefficients, f(Δt) is the time decay function, f(Δt)=tanh(αΔt+β), -1≤f(Δt)≤1, α, β are shape parameters fitted according to historical data, CS is the comprehensive score, and DS is the warehouse dynamic score.

[0015] By adopting the above technical scheme, this application not only takes into account the dynamic scoring of the warehouse, but also incorporates the two key indicators of cumulative usage times and the most recent maintenance time into the evaluation system, and quantifies the comprehensive score of each warehouse through a mathematical model. Among them, the hyperbolic tangent function is selected to ensure that the output value is in the range of -1 to 1. The α parameter and β parameter are obtained by fitting historical data. The attenuation rate is adjusted by α, and the initial state is adjusted by β. It shows nonlinear attenuation with the increase of maintenance interval, which is in line with the actual equipment performance degradation law; finally, the warehouse with the best condition is automatically selected for battery replacement operation according to the comprehensive score, which improves the comprehensive analysis ability, evenly distributes the usage frequency of each warehouse through load balancing to extend the overall service life, and automatically triggers maintenance reminders to achieve preventive maintenance and improve equipment reliability.

[0016] Optionally, after real-time detection of the force data of the battery pack during the import process, the method further comprises the following steps: collecting the guide arm pressure, tray support force and posture data of the battery pack during the import process to obtain real-time status data of the battery pack; calculating the spatial posture deviation and motion trajectory deviation of the battery pack according to the real-time status data to obtain a comprehensive deviation value; when the comprehensive deviation value exceeds a preset safety threshold, calculating the guide angle and support height in combination with the characteristic parameters of the battery pack to obtain a coordinated control parameter; Based on the collaborative control parameters, the guide angle of the V-shaped guide groove, the support height and the introduction speed of the lifting auxiliary tray are synchronously adjusted; Monitor the adjusted import status in real time, and perform deceleration or braking operations when an abnormality is detected.

[0017] By adopting the above technical scheme, in actual battery replacement operations, the battery pack often has multiple abnormal states such as horizontal offset, posture tilt and height deviation at the same time; if only a single parameter is adjusted independently, it is easy to cause the problem of losing sight of one thing while focusing on another, and may even cause secondary deviations in the adjustment process; the present application first collects the guide pressure, support force and posture data of the battery pack through multi-point sensing to construct complete status information; then uses the preset evaluation model to calculate the comprehensive deviation value of the spatial posture and trajectory; when the deviation exceeds the limit, the system will calculate the optimal guide angle and support height at the same time according to the characteristic parameters of the battery pack, and realize the linkage adjustment of the V-shaped guide groove, auxiliary tray and import speed through a collaborative control algorithm; at the same time, a real-time monitoring mechanism is established to promptly initiate a safety protection strategy when an abnormality is found; the accuracy and stability of battery introduction are improved, and the occurrence of secondary deviations is effectively prevented through multi-system linkage.

[0018] Optionally, the guiding angle and the supporting height are calculated in combination with the characteristic parameters of the battery pack to obtain the coordinated control parameters, which specifically includes the following steps: Obtain the length L, width W, height H and weight M of the battery pack; According to the length L and the width W, the guide angle θ of the V-shaped guide groove is calculated, θ=arctan(W / L)+g(L,W), where g(L,W) is an angle correction function determined according to the aspect ratio of the battery pack; According to the weight M, the support height H' of the lifting auxiliary tray is calculated, H'=H+k*M, where k is a height correction coefficient obtained by fitting the historical data; According to the guide angle and the support height, calculate the introduction speed v of the battery pack, v = v_max*e (-αθ-β*H′) ; Among them, v_max is the maximum allowable import speed, α and β are speed adjustment parameters; A coordinated control parameter is obtained according to the guide angle, the support height and the introduction speed of the battery pack.

[0019] By adopting the above technical solution, the present application first obtains in real time the key parameters such as the length L, width W, height H and weight M of the battery pack to be replaced; then, by establishing a mathematical model, the optimal V-shaped guide groove expansion angle θ, the lifting tray support height H' and the battery pack introduction speed v are calculated as collaborative control parameters; wherein, the battery pack introduction speed is dynamically calculated according to the guide angle and the support height. When the guide angle deviation is large, the system will automatically reduce the introduction speed to effectively prevent the battery pack from colliding with the guide rail and the support mechanism; when the support height is abnormal, the speed is reduced to avoid shaking or tilting of the battery pack to ensure that the battery pack is in place stably; at the same time, when the guide angle and the support height are in an ideal state, the system can maintain a high introduction speed to improve the battery replacement efficiency; during the battery pack introduction process, each actuator will automatically adjust according to these parameters, which not only ensures the safety and stability of the battery pack introduction process, but also maximizes the battery replacement efficiency while ensuring safety.

[0020] In a second aspect, the present application provides a battery compartment intelligent management system for a battery swap station, which is applied to a battery swap station system. The battery swap station system includes a battery compartment array, a battery transfer mechanism, and a flexible positioning device. The battery compartment intelligent management system includes: A battery information acquisition module is used to obtain the type information, size parameters and weight parameters of the battery pack to be replaced; An instruction receiving module, used for receiving a battery transport instruction; A performance coefficient acquisition module, used to acquire an overall performance coefficient and a partition performance coefficient according to the type information, wherein the overall performance coefficient includes a battery pack replacement efficiency coefficient and a safety stability coefficient, and the partition performance coefficient includes a warehouse environment adaptability coefficient and a position matching coefficient; A storage location selection module, used for selecting a target battery storage location according to the overall performance coefficient and the partition performance coefficient, wherein the target battery storage location is provided with a flexible positioning device, and the flexible positioning device includes a retractable V-shaped guide groove and a lifting auxiliary tray; A transfer control module, used to control the battery transfer mechanism to transfer the corresponding battery pack to the entrance position of the target battery storage location; A guide groove control module, used to control the V-shaped guide groove to expand to a preset position matching the size parameter; A tray control module, used for controlling the lifting auxiliary tray to adjust to a preset height according to the weight parameter; An import control module, used to import and fix the battery pack into the target battery compartment through the cooperation between the V-shaped guide groove and the lifting auxiliary tray; Among them, the V-shaped guide groove and the lifting auxiliary tray are both provided with force sensors for real-time detection of the force data of the battery pack during the import process. When abnormal force is detected, a protection mechanism is triggered to stop the import action.

[0021] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned intelligent management method for battery compartments of battery swap stations when executing the computer program.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: 1. This application first obtains the type information, size parameters and weight parameters of the battery pack through the intelligent recognition system; then the system obtains the overall performance coefficient and the partition performance coefficient according to the type information, automatically selects the optimal bin, and controls the transfer mechanism to transport the battery pack to the entrance position; then the V-shaped guide groove dynamically adjusts the opening angle and width according to the size parameters, and the lifting auxiliary tray presets the support height according to the weight parameters; during the import process, the force sensors distributed at key positions monitor the force state in real time, and once an abnormality is detected, the protection mechanism is immediately triggered, which solves the problems of poor adaptability and low safety of traditional battery replacement equipment, and through the flexible positioning mechanism, it can adapt to changes such as battery pack deformation and different models of battery packs, significantly improving the battery replacement efficiency; 2. In actual operation, there are obvious differences in the demand for battery replacement in different periods and for different models. If a simple first-in-first-out strategy is adopted, the battery packs of popular models will often be in short supply, while the battery packs of unpopular models will occupy charging resources. This application first analyzes the historical battery replacement data and the current queue vehicle information to predict the user's possible power demand characteristics and obtain the first evaluation coefficient. Secondly, based on the exchange records directly obtained during the battery replacement process, such as service timestamp, vehicle type, number of services on the day, etc., the second evaluation coefficient is calculated. Finally, a comprehensive priority index is obtained through weighted calculation to ensure that battery packs with high demand for battery replacement can obtain charging resources first. 3. In actual operation, if we only consider the simple factor of whether the warehouse is idle, and ignore the actual operating status and environmental adaptability of the warehouse, this may lead to uneven equipment loss and unstable battery replacement quality; this application first evaluates the operating status of the warehouse by analyzing the number of battery replacements per unit time and the degree of equipment wear; the environmental adaptability of the warehouse is evaluated based on the temperature and humidity distribution and the electromagnetic interference intensity; finally, these evaluation results are combined with the real-time occupancy rate to generate a dynamic warehouse score and select the optimal warehouse. By comprehensively evaluating equipment efficiency, safety and environmental adaptability, it can not only optimize resource allocation and extend equipment life, but also ensure the stability and reliability of battery replacement operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a structural schematic diagram of a battery swap station system in a battery swap station battery compartment intelligent management method according to an embodiment of the present application; Figure 2 It is a flowchart of a battery compartment intelligent management method for a battery swap station according to an embodiment of the present application; Figure 3 It is a schematic diagram of a process for calculating a priority index in a battery compartment intelligent management method for a battery swap station according to an embodiment of the present application; Figure 4 It is a flowchart of step S240 in a battery compartment intelligent management method of a battery swap station according to an embodiment of the present application; Figure 5 It is a flowchart of step S244 in a battery compartment intelligent management method of a battery swap station according to an embodiment of the present application; Figure 6 It is a flowchart of step S260 in a battery compartment intelligent management method of a battery swap station according to an embodiment of the present application; Figure 7 It is a flowchart of step S270 in a battery compartment intelligent management method of a battery swap station according to an embodiment of the present application; Figure 8 It is a schematic diagram of the collaborative control process in a battery compartment intelligent management method of a battery swap station according to an embodiment of the present application; Fig. 9 This is a module diagram of an intelligent management system for battery compartments in a battery swap station according to an embodiment of the present application; Fig.10 It is a diagram of the internal structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0024] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more listed items.

[0025] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0026] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0027] In the first aspect, the present application provides a battery compartment intelligent management method for a battery swap station, which is applied to a battery swap station system. Figure 1 The battery swap station system includes a battery bin array, a battery transfer mechanism and a flexible positioning device, wherein the battery bin array includes multiple battery bins, the currently selected bin is the target bin, each bin can store a battery pack, the battery transfer mechanism is located in front of the battery bin array, responsible for the handling and transfer of the battery pack, and can be moved horizontally to different bins, the flexible positioning device is located at the bin entrance, including a V-shaped guide groove and an auxiliary tray (not shown), the battery transfer mechanism transports the battery pack to the target bin, and guides it through the V-shaped guide groove for centering, and the lifting tray cooperates to complete the final positioning.

[0028] Understandably, Figure 1 The main components and spatial relationships of the system are demonstrated. In an actual system, it may also include a vertical lifting mechanism, the specific arrangement of sensors, the range of motion of the robotic arm, and safety protection devices.

[0029] Reference Figure 2 , the battery compartment intelligent management method includes the following steps: S210: Obtain type information, size parameters, and weight parameters of the battery pack to be replaced.

[0030] In this embodiment, the type information of the battery pack to be replaced includes basic attribute information such as the model, specification, and capacity of the battery pack, the size parameters include the three-dimensional data of the length, width, and height of the battery pack, and the weight parameters include the empty weight and actual weight of the battery pack. These parameter information is obtained through the battery pack information table pre-stored in the system database, and can also be obtained through real-time scanning and recognition.

[0031] Specifically, the system can scan the QR code or RFID tag on the battery pack to be replaced through a preset scanning device to obtain its unique identification code, and then extract corresponding parameter information from the database according to the identification code.

[0032] S220, receiving a battery transport instruction.

[0033] In this embodiment, the battery transport instruction includes source location coordinate information, target location type and task priority information. The source location coordinate is used to indicate the current location of the battery pack, the target location type is used to specify the transport to the charging bin or the discharging bin, and the priority information is used to identify the urgency of the transport task.

[0034] S230. Obtain an overall performance coefficient and a partition performance coefficient according to the type information.

[0035] In this embodiment, the overall performance coefficient reflects the overall operating characteristics of the battery pack, including the replacement efficiency coefficient and the safety stability coefficient. The environmental conditions (such as temperature, humidity, and ventilation conditions) of different regional warehouses are different, and it is necessary to evaluate the adaptability of the battery pack to the specific environment. The partition performance coefficient reflects the matching degree between the battery pack and the specific warehouse, including the environmental adaptability coefficient and the location matching coefficient.

[0036] Specifically, the system extracts the corresponding coefficient values ​​from the performance coefficient database based on the type information of the battery pack. For example, the replacement efficiency coefficient of a certain type of battery pack is 0.85, the safety stability coefficient is 0.92, the environmental adaptability coefficient is 0.88, and the position matching coefficient is 0.90. These coefficient values ​​are all between 0 and 1, and the larger the value, the better the performance.

[0037] S240. Select a target battery storage location according to the overall performance coefficient and the partition performance coefficient. The target battery storage location is provided with a flexible positioning device, which includes a retractable V-shaped guide groove and a lifting auxiliary tray.

[0038] In this embodiment, the system calculates the comprehensive score of each candidate location through a preset scoring model based on the obtained overall performance coefficient and partition performance coefficient, and selects the location with the highest score as the target battery location. The flexible positioning device equipped in the target location includes a retractable V-shaped guide groove and a lifting auxiliary tray to assist in the precise positioning of the battery pack.

[0039] Specifically, the system uses a weighted summation method to calculate the comprehensive score, where the weight of the overall performance coefficient is 0.6 and the weight of the partition performance coefficient is 0.4. By comparing the scores of all candidate warehouses, the warehouse with the highest score is selected.

[0040] S250, controlling the battery transfer mechanism to transfer the corresponding battery pack to the entrance position of the target battery storage location.

[0041] In this embodiment, the battery transfer mechanism is a multi-degree-of-freedom robotic arm system that can accurately transport battery packs in three-dimensional space. The system plans the optimal transfer path based on the source position coordinates and the target bin position, and controls the battery transfer mechanism to complete the transfer task according to the planned path.

[0042] Specifically, the battery transfer mechanism first moves to the source position coordinates, grabs the battery pack through the robot arm, and then moves to the target bin entrance along the planned path. For example, from the source position to the target bin entrance, the entire process uses a trapezoidal speed curve control to ensure smooth movement.

[0043] S260, controlling the V-shaped guide groove to expand to a preset position matching the size parameters.

[0044] In this embodiment, the V-shaped guide groove is driven by an electric telescopic mechanism, which can automatically adjust the opening and closing angle and the unfolding width according to the size parameters of the battery pack. The system controls the V-shaped guide groove to unfold to the most suitable preset position according to the pre-established corresponding relationship table between the size parameters and the guide groove position.

[0045] Specifically, for example, when the width of the battery pack is 800 mm, the unfolded width of the V-shaped guide groove is set to 850 mm, and the opening and closing angle is set to 30 degrees to ensure sufficient guiding space and appropriate guiding force.

[0046] S270, controlling the lifting auxiliary tray to adjust to a preset height according to the weight parameter.

[0047] In this embodiment, the lifting auxiliary tray is driven by an electric lifting mechanism, and the height of the tray can be automatically adjusted according to the weight parameters of the battery pack. The system controls the lifting auxiliary tray to adjust to the optimal preset height according to the pre-established corresponding relationship table between the weight parameter and the tray height.

[0048] S280: The battery pack is introduced and fixed in the target battery compartment through the cooperation of the V-shaped guide groove and the lifting auxiliary tray.

[0049] Among them, the V-shaped guide groove and the lifting auxiliary tray are both equipped with force sensors for real-time detection of the force data of the battery pack during the import process. When abnormal force is detected, the protection mechanism is triggered to stop the import action.

[0050] In this embodiment, the V-shaped guide groove and the lifting auxiliary tray work together to complete the introduction and fixation of the battery pack. The V-shaped guide groove is mainly responsible for the horizontal guidance and positioning, and the lifting auxiliary tray is mainly responsible for the vertical support and buffering. Both are equipped with force sensors to monitor the force status in real time.

[0051] Specifically, the battery pack slides into the bin along the preset track under the guidance of the V-shaped guide groove, while the lifting auxiliary tray provides bottom support. For example, when it is detected that the force on the guide groove exceeds 2000N or the force on the tray exceeds 3500N, the system will immediately stop the import action and issue an alarm signal to prevent collision or damage.

[0052] When multiple vehicles are waiting in line for battery replacement, if a one-to-one battery replacement is performed directly, the subsequent vehicles will have to wait too long; at the same time, if there is a temporary shortage of fully charged battery packs corresponding to a certain vehicle model, it will also cause a blockage in the battery replacement process. Therefore, in one embodiment, the battery bin array is provided with a cache bin, which is used to temporarily store the battery packs to be processed during the battery replacement process. The method also includes the following steps: after the battery transport mechanism obtains the battery pack, the battery transport mechanism is controlled to transport the battery pack to the cache bin for temporary storage. After the battery transport mechanism removes the battery pack from the vehicle, it is first transported to the cache bin for temporary storage. This can immediately release the parking space for the next vehicle to prepare for battery replacement, thereby improving the parallel processing capability of the battery swap station and optimizing the turnover efficiency of the battery pack.

[0053] In one embodiment, referring to Figure 3 , the method further comprises the following steps: S310. Receive historical battery swapping data sent by the battery swap station management system.

[0054] In this embodiment, the historical battery replacement data includes the recent battery replacement records of the battery replacement station, the vehicle arrival time distribution and the peak electricity demand.

[0055] Specifically, the system obtains historical data updates from the battery swap station management system every 30 minutes, including the hourly battery swap volume, average waiting time, and battery pack turnover rate over the past 7 days.

[0056] S320: Collect information about vehicles currently waiting in line in real time.

[0057] In this embodiment, the current queue information includes the number of vehicles waiting for battery replacement, vehicle type, remaining power and arrival time in real time. The system collects this information in real time through the vehicle identification system and reservation management system, and uses it to dynamically adjust the charging resource allocation strategy.

[0058] Specifically, the system uses a combination of video recognition and Internet of Vehicles data collection to obtain queue vehicle information in real time.

[0059] S330. Calculate a first evaluation coefficient based on historical battery replacement data and current queue information.

[0060] In this embodiment, the first evaluation coefficient mainly reflects the current operating pressure and resource demand of the battery swap station. The system establishes a time series model based on historical battery swap data, combines the current queue information, and calculates this coefficient through a preset evaluation model.

[0061] Specifically, the system adopts a weighted calculation method to comprehensively calculate the historical power replacement amount in the same period, the current number of vehicles in the queue and the proportion of emergency vehicles to obtain the first evaluation coefficient.

[0062] S340: Calculate a second evaluation coefficient according to the battery pack exchange record.

[0063] In this embodiment, the second evaluation coefficient mainly reflects the service characteristics and usage frequency of the battery pack. The system evaluates the service performance and assigns priority of the battery pack by analyzing the service timestamp of the battery pack (recording the specific time of each service), the type of service vehicle (such as private cars, online car-hailing vehicles, logistics vehicles, etc.), the number of services on the day (counting the replacement frequency within 24 hours), and other information.

[0064] Specifically, the system uses a multi-dimensional evaluation model to calculate the second evaluation coefficient. For example, for a certain battery pack, the service interval coefficient (calculated based on the time interval between two adjacent services, the interval is scored 0.95 within 1 hour, and 0.85 for 1-2 hours), the vehicle model matching coefficient (online car-hailing scores 0.90, private cars score 0.85, and logistics vehicles score 0.80, determined according to the power urgency of different models), and the service frequency coefficient (the third service of the day scores 0.92, the fourth score 0.88, and the more services the lower the score to prevent excessive use). The weights of these three sub-item coefficients are 0.4, 0.3, and 0.3, respectively, and the final weighted calculation results in the second evaluation coefficient.

[0065] S350, obtaining a comprehensive priority index based on weighted calculation of the first evaluation coefficient and the second evaluation coefficient.

[0066] In this embodiment, the comprehensive priority index is an important indicator for measuring the priority of the battery pack in obtaining charging resources. The system adopts a dynamic weight method to weight the first evaluation coefficient and the second evaluation coefficient to obtain the final priority index.

[0067] Specifically, when calculating the comprehensive priority index, the system dynamically adjusts the weight ratio according to the current operating status of the battery swap station. For example, during peak power consumption, the weight of the first evaluation coefficient is set to 0.7, and the weight of the second evaluation coefficient is set to 0.3; during off-peak periods, they are set to 0.5 and 0.5 respectively. The final comprehensive priority index ranges from 0 to 1, and the larger the value, the higher the priority.

[0068] S360: When the battery packs in the cache slot need to be allocated to the charging slot, the charging resources are allocated according to the comprehensive priority index so that the battery packs with higher priorities are given priority to obtain the charging resources.

[0069] In this embodiment, the system sorts the battery packs to be charged in the cache slots according to the calculated comprehensive priority index to determine the charging priority. When charging slot resources are available, the system preferentially allocates battery packs with higher priority indexes to the charging slots to improve the overall battery replacement efficiency.

[0070] In one embodiment, referring to Figure 4 In step S240, the target battery position is selected according to the overall performance coefficient and the partition performance coefficient, including the following steps: S241. Obtain the number of battery replacement operations completed per unit time corresponding to the battery pack replacement efficiency coefficient and the degree of equipment wear corresponding to the safety and stability coefficient, and calculate the equipment operation status score.

[0071] In this embodiment, the equipment operation status score mainly reflects the actual operation efficiency and equipment health of the battery swapping equipment. The system comprehensively evaluates the equipment operation status by analyzing the completion of the battery swapping operation per unit time corresponding to the replacement efficiency coefficient (such as the maximum number of battery swaps per hour, the average battery swapping time, etc.), and the equipment wear corresponding to the safety and stability coefficient (such as the movement accuracy of the robot arm, the change in clamping force, etc.).

[0072] S242. Obtain the temperature and humidity distribution data corresponding to the warehouse environment adaptability coefficient and the electromagnetic interference intensity corresponding to the position matching coefficient, and calculate the environment adaptability score.

[0073] In this embodiment, the environmental adaptability score mainly evaluates the impact of the warehouse environment on the battery pack performance. The system evaluates the adaptability of the warehouse environment by real-time monitoring the temperature distribution (such as temperature uniformity, temperature gradient, etc.) and humidity changes corresponding to the warehouse environment adaptability coefficient, as well as the electromagnetic interference intensity (such as the electromagnetic field intensity generated by peripheral equipment, signal interference, etc.) corresponding to the location matching coefficient.

[0074] S243. Generate a dynamic score for the warehouse based on a weighted combination of the equipment operation status score and the environmental adaptability score and the real-time occupancy rate of the warehouse.

[0075] In this embodiment, the dynamic scoring of the warehouse needs to comprehensively consider the equipment operation status, environmental adaptability and real-time warehouse occupancy. The system adopts a dynamic weight allocation method to adaptively adjust the weight coefficients of various indicators according to the current operation status of the battery swap station to achieve the optimal allocation of warehouse resources.

[0076] Specifically, when calculating the dynamic score of a storage location, the system performs a weighted combination of the equipment operating status score and the environmental adaptability score, and then makes corrections based on the storage location occupancy factor.

[0077] S244. Sort the matching warehouses according to the warehouse dynamic scores, and determine the warehouse with the highest score as the target warehouse.

[0078] In this embodiment, the system sorts all the matching warehouses according to the warehouse dynamic scores and selects the warehouse with the highest score as the final target warehouse.

[0079] Specifically, the system establishes a real-time updated position score list, and when position allocation is required, it automatically selects the available positions with the highest scores.

[0080] In one embodiment, referring to Figure 5 In step S244, the matching warehouses are sorted according to the warehouse dynamic scores, and the warehouse with the highest score is determined as the target warehouse, which also includes the following steps: S2441. Record and update the cumulative usage times of each adapted position.

[0081] In this embodiment, the system establishes a bin usage record database to count and store the cumulative usage of each adapted bin in real time. The record content includes bin number, start and end time of each use, service type (charging / battery replacement), operation results and other information, which is used to evaluate the usage intensity and equipment status of the bin.

[0082] Specifically, the system uses a counter to record the number of times each storage location is used, and stores them by category according to date.

[0083] S2442: When the cumulative number of times used reaches a preset threshold, a maintenance inspection reminder is triggered.

[0084] In this embodiment, the system sets up a hierarchical maintenance mechanism based on the cumulative number of times used. When the cumulative number of times a bin is used reaches a preset inspection threshold, the system automatically generates a maintenance reminder and sets different inspection levels according to the intensity of use to ensure the safe and reliable operation of the equipment.

[0085] Specifically, the system sets three levels of maintenance inspection thresholds: 300 cumulative uses trigger a level one inspection (basic inspection), 500 times trigger a level two inspection (key inspection), and 800 times trigger a level three inspection (comprehensive overhaul).

[0086] S2443. Calculate the comprehensive score based on the dynamic score of the warehouse, the cumulative number of times it has been used, and the time of the most recent maintenance inspection.

[0087] In this embodiment, the calculation of the comprehensive score needs to balance the current performance status and maintenance cycle of the warehouse. The system weights and combines the three dimensions of warehouse dynamic score, cumulative usage times and the latest maintenance inspection time to generate a comprehensive evaluation index.

[0088] Specifically, the cumulative number of uses is normalized to obtain N'=N / Nmax, where N is the cumulative number of uses, N' is the normalized cumulative number of uses, and Nmax is the maximum number of uses threshold; based on the time of the most recent maintenance inspection, Δt=current time-most recent maintenance inspection time is calculated, where Δt is the time since the last maintenance; based on the dynamic score of the warehouse, the normalized cumulative number of uses and the time since the last maintenance, CS=aDS+bN′+cf(Δt) is calculated, where a, b, c are weight coefficients, and f(Δt) is the time attenuation function. This embodiment uses the hyperbolic tangent function, f(Δt)=tanh(αΔt+β), -1≤f(Δt)≤1, α and β are shape parameters fitted according to historical data, CS is the comprehensive score, and DS is the dynamic score of the warehouse. By selecting the hyperbolic tangent function, the output value is guaranteed to be in the range of -1 to 1. The α and β parameters are obtained by fitting historical data. The attenuation rate is adjusted by α and the initial state is adjusted by β, so that the comprehensive score decays nonlinearly with the increase of the maintenance interval, which is in line with the actual performance degradation law of the equipment. Finally, the best position is automatically selected for the battery replacement operation based on the comprehensive score, which improves the comprehensive analysis capability. The use frequency of each position is evenly distributed through load balancing to extend the overall service life. The maintenance reminder is automatically triggered to achieve preventive maintenance and improve equipment reliability.

[0089] S2444. Select the position with the highest comprehensive score and which has not reached the maintenance inspection time as the target position.

[0090] In this embodiment, when selecting a target storage location, the system not only considers the comprehensive score, but also ensures that the selected storage location is within a safe maintenance cycle.

[0091] Specifically, the system first screens out the warehouses that have not reached the maintenance inspection time, and then selects the warehouse with the highest comprehensive score as the target warehouse.

[0092] S2445. Update the dynamic ranking and cumulative usage times of each adapted position in real time.

[0093] In this embodiment, the system adopts a real-time update mechanism to ensure the timeliness of the position status data. After each battery replacement operation is completed, the system automatically updates the dynamic score and usage count of the relevant position, and synchronizes the updated data to the central database.

[0094] In one embodiment, referring to Figure 6 In step S260, the V-shaped guide groove is controlled to expand to a preset position matching the size parameters, which specifically includes the following steps: S261. Expand the V-shaped guide groove to a preset position according to the size parameters.

[0095] In this embodiment, the system controls the expansion angle and width of the V-shaped guide groove according to the size parameters of the battery pack. The servo motor drives the guide arm to rotate so that the V-shaped guide groove reaches a preset opening state to ensure that it matches the outer dimensions of the battery pack to be loaded.

[0096] S262. During the battery pack introduction process, the contact pressure of the guide arm is collected to obtain pressure distribution data.

[0097] In this embodiment, the system arranges a pressure sensor array on the surface of the guide arm to collect the contact pressure between the battery pack and the guide arm in real time during the process of entering. The sensor array is evenly distributed along the length of the guide arm, and the pressure distribution state between the battery pack and the guide surface can be obtained.

[0098] S263. Calculate the pressure difference between the two sides according to the pressure distribution data.

[0099] In this embodiment, the system processes the collected pressure data in real time and calculates the pressure difference between the left and right guide arms. By analyzing the size and distribution characteristics of the pressure difference, the offset degree and force balance of the battery pack during the guiding process are determined.

[0100] Specifically, the system uses a moving average algorithm to process pressure data and calculate the average pressure value and difference between the left and right sides. For example, the average pressure of the left guide arm is 2.0N, and the right side is 2.4N, then the pressure difference is 0.4N. The system compares the difference with the preset balance threshold (±0.3N) to determine whether the guide arm angle needs to be adjusted.

[0101] S264. Adjust the angles of the guide arms on both sides based on the pressure difference.

[0102] In this embodiment, the system controls the fine-tuning of the guide arms on both sides through precision motors according to the calculated pressure difference. The adjustment process adopts a closed-loop control strategy to monitor the pressure changes in real time to ensure that the battery pack maintains good centering during the guidance process.

[0103] Specifically, when the pressure difference exceeds the threshold, the system starts the fine-tuning procedure. For example, if the pressure on the right side is 0.4N greater than that on the left side, the right guide arm is controlled to slightly extend outward by 0.5 degrees, while the left guide arm is controlled to retract inward by 0.3 degrees until the pressure difference returns to the balance range. The entire adjustment process uses progressive control to avoid oscillation caused by sudden changes.

[0104] S265. When the battery pack is fully inserted, restore the V-shaped guide groove to the locked state.

[0105] In this embodiment, the system detects the entry depth of the battery pack through a position sensor, and when it is confirmed that the battery pack has completely entered the predetermined position, the V-shaped guide groove is controlled to retract to the locking position.

[0106] Specifically, after the system detects the battery pack in place signal, it controls the guide arms on both sides to retract synchronously. When the locking position is reached, the mechanical lock automatically engages. The system confirms the locking in place through position feedback, completing the entire loading process. At this point, the battery pack is firmly fixed in the preset position.

[0107] In one embodiment, referring to Figure 7 In step S270, the lifting auxiliary tray is controlled to be adjusted to a preset height according to the weight parameter, which specifically includes the following steps: S271. Adjust the lifting auxiliary tray to a preset height according to the weight parameter.

[0108] In this embodiment, the system controls the initial height adjustment of the lifting auxiliary tray based on the weight parameter of the battery pack. The high-precision stepper motor drives the screw lifting mechanism to make the tray reach a preset support height corresponding to the weight of the battery pack.

[0109] Specifically, the system has established a weight-height correspondence table and presets different pallet heights according to different weight levels.

[0110] S272. Collect the force data of the tray during the battery pack import process to obtain the support status.

[0111] In this embodiment, the tray is equipped with a high-precision weighing sensor array to collect force data in real time during the battery pack import process. The system evaluates the support status and center of gravity position of the battery pack by analyzing the force distribution at each point of the tray.

[0112] Specifically, four corner load cells are arranged on the pallet, with a sampling frequency of 200 Hz. For example, when the battery pack begins to enter, the system records the force data of the four supporting points.

[0113] S273. Calculate a height compensation value according to the support state.

[0114] In this embodiment, the system calculates the height compensation value according to the real-time support status of the pallet. By analyzing the balance and stability of the force data and combining the preset support standards, the correction amount of the pallet height is determined to ensure that the battery pack obtains the best support effect.

[0115] Specifically, the system uses a force balance algorithm to calculate height compensation. For example, when it is detected that the force difference between the front and rear support points exceeds 35kg, the system calculates the height value that needs to be compensated. If the force on the front end is too large, a compensation value of -2mm is calculated; if the force on the rear end is too large, a compensation value of +2mm is calculated to ensure that the battery pack is supported evenly and horizontally.

[0116] S274. Adjust the tray support height based on the height compensation value.

[0117] In this embodiment, the system adjusts the tray support height in real time through the servo control system based on the calculated height compensation value. The adjustment process uses a smooth transition algorithm to ensure the continuity and stability of the tray height change and avoid impact on the battery pack.

[0118] S275. After the battery pack is fully inserted, fix the lifting auxiliary tray in the final supporting position.

[0119] In this embodiment, when the battery pack is fully inserted and reaches the ideal support state, the system starts the tray locking program to ensure that the tray is firmly locked in the final support position to provide reliable load-bearing support for the battery pack.

[0120] In one embodiment, referring to Figure 8 , the method further comprises the following steps: S810. Collect the guide arm pressure, tray support force and posture data of the battery pack during the import process to obtain the real-time status data of the battery pack.

[0121] In this embodiment, the system collects the status information of the battery pack during the import process in real time through a multi-dimensional sensor network. The collected content includes the pressure distribution of the left and right guide arms, the support force data of the four corners of the tray, and the inclination angle, acceleration and other posture parameters of the battery pack, forming a complete status monitoring system.

[0122] S820. Calculate the spatial posture deviation and motion trajectory deviation of the battery pack according to the real-time status data to obtain a comprehensive deviation value.

[0123] In this embodiment, the posture deviation and trajectory deviation of the battery pack during the import process are calculated by performing multi-dimensional analysis on the real-time status data.

[0124] S830: When the comprehensive deviation value exceeds the preset safety threshold, the steering angle and support height are calculated in combination with the characteristic parameters of the battery pack to obtain the coordinated control parameters.

[0125] In this embodiment, the system sets up a hierarchical safety threshold management mechanism. When the comprehensive deviation value exceeds the preset threshold, the system combines the characteristic parameters such as the size and weight of the battery pack, calculates the optimal guidance angle and support height through an adaptive algorithm, and generates a coordinated adjustment instruction.

[0126] Specifically, the length L, width W, height H and weight M of the battery pack are obtained; according to the length L and width W, the guide angle θ of the V-shaped guide groove is calculated, θ = arctan (W / L) + g (L, W), where g (L, W) is an angle correction function determined according to the aspect ratio of the battery pack. First, the import success rate and stability data of battery packs with different aspect ratios at various guide angles are collected to find the optimal guide angle corresponding to each aspect ratio. The difference between the basic angle arctan (W / L) and the optimal guide angle is used as the compensation amount, and the angle correction function is obtained by mathematical fitting. Experiments show that for slender battery packs, a smaller negative compensation is required to prevent jamming; when the battery pack is flat, a larger positive compensation is required to improve stability; when the aspect ratio is close to 1, only a small compensation adjustment is required; according to the weight M, the support height H' of the lifting auxiliary tray is calculated, H' = H + k*M, where k is the height correction coefficient obtained by fitting based on historical data; according to the guide angle and support height, the introduction speed v of the battery pack is calculated, v = v_max*e (-αθ-β*H′) ; Where v_max is the maximum allowable import speed, α and β are speed adjustment parameters; according to the guide angle, support height and battery pack import speed, the coordinated control parameters are obtained. When the guide angle deviation is large, the system will automatically reduce the import speed to effectively prevent the battery pack from colliding with the guide rail and support mechanism; when the support height is abnormal, the speed is reduced to avoid the battery pack from shaking or tilting, ensuring that the battery pack is in place smoothly; at the same time, when the guide angle and support height are in an ideal state, the system can maintain a high import speed to improve the battery replacement efficiency.

[0127] S840. Based on the collaborative control parameters, the guide angle of the V-shaped guide groove, the support height and the introduction speed of the lifting auxiliary tray are synchronously adjusted.

[0128] In this embodiment, the system adopts a coordinated control strategy to ensure the synchronous adjustment of the three control quantities of the V-shaped guide groove, the lifting auxiliary tray and the introduction speed. The control system realizes a smooth transition adjustment process by calculating the coordinated relationship of each actuator in real time.

[0129] Specifically, the system breaks down the adjustment process into a continuous fine-tuning sequence. For example, the entire adjustment process is completed within 2 seconds: the guide angle is adjusted at a speed of 0.4 degrees / second, the tray is raised and lowered at a speed of 0.75mm / second, and the introduction speed is reduced by 20%. The system ensures the synchronization of the actions of each mechanism through precision servo control to avoid additional disturbances during the adjustment process.

[0130] S850: monitor the adjusted import status in real time, and when an abnormality is detected, perform a deceleration or braking operation.

[0131] In this embodiment, the system establishes a real-time monitoring and emergency response mechanism. By continuously analyzing the import status data, the adjustment effect and potential risks are judged. When an abnormal state is detected, the system automatically performs corresponding deceleration or braking operations according to the degree of abnormality to ensure the safety of the import process.

[0132] Specifically, the system defines a multi-level exception handling strategy. For example, when a minor abnormality is detected (such as a sudden change in posture deviation exceeding 1 degree), the import speed is automatically reduced to 50%; when a serious abnormality is detected (such as a sudden change in support force exceeding 50kg), the emergency braking procedure is immediately initiated, and the guide arm and tray are controlled to maintain the current state to prevent the battery pack from tilting or falling.

[0133] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0134] In the second aspect, the present application provides an intelligent management system for battery compartments of battery swap stations. The intelligent management system for battery compartments of battery swap stations of the present application is described below in combination with the above-mentioned intelligent management method for battery compartments of battery swap stations.

[0135] Reference Fig. 9 , a battery compartment intelligent management system for a battery swap station, applied to a battery swap station system, the battery swap station system includes a battery compartment array, a battery transfer mechanism and a flexible positioning device, the battery compartment intelligent management system includes: A battery information acquisition module is used to obtain the type information, size parameters and weight parameters of the battery pack to be replaced; An instruction receiving module, used for receiving a battery transport instruction; The performance coefficient acquisition module is used to obtain the overall performance coefficient and the partition performance coefficient according to the type information. The overall performance coefficient includes the battery pack replacement efficiency coefficient and the safety stability coefficient, and the partition performance coefficient includes the warehouse environment adaptability coefficient and the position matching coefficient. A storage location selection module is used to select a target battery storage location according to the overall performance coefficient and the partition performance coefficient. The target battery storage location is equipped with a flexible positioning device, which includes a retractable V-shaped guide groove and a lifting auxiliary tray; A transfer control module, used to control the battery transfer mechanism to transfer the corresponding battery pack to the entrance position of the target battery storage location; A guide groove control module, used to control the V-shaped guide groove to expand to a preset position matching the size parameters; A tray control module, used to control the lifting auxiliary tray to adjust to a preset height according to a weight parameter; An import control module is used to import and fix the battery pack into the target battery compartment through the cooperation of the V-shaped guide groove and the lifting auxiliary tray; Among them, the V-shaped guide groove and the lifting auxiliary tray are both equipped with force sensors for real-time detection of the force data of the battery pack during the import process. When abnormal force is detected, the protection mechanism is triggered to stop the import action.

[0136] In one embodiment, the battery compartment array is provided with a cache compartment, and the cache compartment is used to temporarily store the battery pack to be processed during the battery replacement process. The system further includes: The cache control module is used to control the battery transport mechanism to transport the battery pack to the cache position for temporary storage after the battery transport mechanism obtains the battery pack.

[0137] In one embodiment, the system further comprises: A data receiving module, used to receive historical battery swap data sent by the battery swap station management system; Information collection module, used to collect real-time information of vehicles currently waiting in line; A first evaluation module, used to calculate a first evaluation coefficient based on historical battery replacement data and current queuing information; A second evaluation module, used for calculating a second evaluation coefficient according to the battery pack exchange record; The priority calculation module is used to obtain a comprehensive priority index based on the weighted calculation of the first evaluation coefficient and the second evaluation coefficient; the resource allocation module is used to allocate charging resources according to the comprehensive priority index when the battery packs in the cache position need to be allocated to the charging position, so that the battery packs with high priority can obtain charging resources first.

[0138] In one embodiment, the position selection module includes: A status scoring unit is used to obtain the number of battery replacement operations completed per unit time corresponding to the battery pack replacement efficiency coefficient, the degree of equipment wear corresponding to the safety and stability coefficient, and calculate the equipment operation status score; The environmental scoring unit is used to obtain the temperature and humidity distribution data corresponding to the warehouse environment adaptation coefficient and the electromagnetic interference intensity corresponding to the location matching coefficient, and calculate the environmental adaptation score; A score generating unit, used to generate a dynamic score for a storage bin based on a weighted combination of a device operation status score and an environmental adaptability score combined with a real-time occupancy rate of the storage bin; The position determination unit is used to sort the suitable positions according to the dynamic position scores and determine the position with the highest score as the target position.

[0139] In one embodiment, the position determination unit further includes: A usage record unit is used to record and update the cumulative usage times of each adapted position; A maintenance reminder unit, used to trigger a maintenance inspection reminder when the cumulative number of uses reaches a preset threshold; Comprehensive scoring unit, used to calculate the comprehensive score based on the dynamic score of the warehouse, the cumulative number of times used and the time of the most recent maintenance inspection; A target selection unit, used to select a position with the highest comprehensive score and which has not reached the maintenance inspection time as a target position; The real-time updating unit is used to update the dynamic score and cumulative usage times of each adapted position in real time.

[0140] In one embodiment, the guide slot control module includes: A guide expansion unit, used to expand the V-shaped guide groove to a preset position according to the size parameters; The pressure collection unit is used to collect the contact pressure of the guide arm during the battery pack introduction process to obtain pressure distribution data; A difference calculation unit, used for calculating the pressure difference on both sides according to the pressure distribution data; An angle adjustment unit, used for adjusting the angles of the guide arms on both sides based on the pressure difference; The state recovery unit is used to restore the V-shaped guide groove to a locked state after the battery pack is fully inserted.

[0141] In one embodiment, the tray control module includes: A height adjustment unit, used to adjust the lifting auxiliary tray to a preset height according to the weight parameter; A force collection unit is used to collect the force data of the tray during the battery pack import process to obtain the support status; A compensation calculation unit, used for calculating a height compensation value according to a support state; A height adjustment unit, used for adjusting the tray support height based on the height compensation value; The position fixing unit is used to fix the lifting auxiliary tray in the final supporting position when the battery pack is fully inserted.

[0142] In one embodiment, the system further comprises: The status monitoring module is used to collect the guide arm pressure, tray support force and posture data of the battery pack during the import process to obtain the real-time status data of the battery pack; The deviation calculation module is used to calculate the spatial posture deviation and motion trajectory deviation of the battery pack according to the real-time status data to obtain a comprehensive deviation value; A parameter generation module is used to calculate the steering angle and support height in combination with the characteristic parameters of the battery pack to obtain the coordinated control parameters when the comprehensive deviation value exceeds the preset safety threshold; A collaborative adjustment module is used to synchronously adjust the guide angle of the V-shaped guide groove, the support height and the introduction speed of the lifting auxiliary tray based on the collaborative control parameters; The protection execution module is used to monitor the adjusted import status in real time and perform deceleration or braking operations when an abnormality is detected.

[0143] In one embodiment, the present application provides an electronic device, which may be a server, and its internal structure diagram may be as follows: Fig.10 As shown. The electronic device includes a processor, a memory and a network interface connected via a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the electronic device is used to store data. The network interface of the electronic device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for intelligent management of battery compartments in a battery swap station is implemented.

[0144] Those skilled in the art will understand that Fig.10 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0145] In one embodiment, an electronic device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0146] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the above-mentioned computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0147] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A battery storage intelligent management method for a battery swap station, applied to a battery swap station system, wherein the battery swap station system comprises a battery storage array, a battery transfer mechanism and a flexible positioning device, characterized in that: The battery compartment intelligent management method comprises the following steps: Obtain the type information, size parameters and weight parameters of the battery pack to be replaced; Receive battery transfer instructions; According to the type information, an overall performance coefficient and a partition performance coefficient are obtained, wherein the overall performance coefficient includes a battery pack replacement efficiency coefficient and a safety stability coefficient, and the partition performance coefficient includes a warehouse environment adaptability coefficient and a position matching coefficient; According to the overall performance coefficient and the partition performance coefficient, a target battery storage position is selected, wherein the target battery storage position is provided with a flexible positioning device, wherein the flexible positioning device includes a retractable V-shaped guide groove and a lifting auxiliary tray; Controlling the battery transfer mechanism to transfer the corresponding battery pack to the entrance position of the target battery storage location; Controlling the V-shaped guide groove to expand to a preset position matching the size parameters; Controlling the lifting auxiliary tray to adjust to a preset height according to the weight parameter; The battery pack is introduced into and fixed in the target battery compartment by the cooperation of the V-shaped guide groove and the lifting auxiliary tray; Among them, the V-shaped guide groove and the lifting auxiliary tray are both provided with force sensors for real-time detection of the force data of the battery pack during the import process. When abnormal force is detected, a protection mechanism is triggered to stop the import action.

2. The intelligent management method for battery compartments in a battery swap station according to claim 1, characterized in that: The battery compartment array is provided with a cache compartment, and the cache compartment is used to temporarily store the battery packs to be processed during the battery replacement process. The method further includes the following steps: After the battery transport mechanism obtains the battery pack, the battery transport mechanism is controlled to transport the battery pack to the cache location for temporary storage.

3. The intelligent management method for battery compartments in a battery swap station according to claim 2, characterized in that: The method further comprises the steps of: Receive historical battery swap data sent by the battery swap station management system; Real-time collection of vehicle information currently waiting in line; Calculate a first evaluation coefficient based on the historical battery replacement data and current queuing information; A second evaluation coefficient is calculated based on the battery pack exchange record; Obtaining a comprehensive priority index based on a weighted calculation of the first evaluation coefficient and the second evaluation coefficient; When the battery packs in the cache slots need to be allocated to the charging slots, charging resources are allocated according to the comprehensive priority index so that the battery packs with higher priorities are given priority to obtain charging resources.

4. The intelligent management method for battery compartments in a battery swap station according to claim 1, characterized in that: Selecting a target battery storage location according to the overall performance coefficient and the partition performance coefficient includes the following steps: Obtain the number of battery replacement operations completed per unit time corresponding to the battery pack replacement efficiency coefficient and the degree of equipment wear corresponding to the safety and stability coefficient, and calculate the equipment operation status score; Obtain the temperature and humidity distribution data corresponding to the warehouse environment adaptability coefficient and the electromagnetic interference intensity corresponding to the location matching coefficient, and calculate the environment adaptability score; Generate a dynamic score for a storage bin based on the equipment operation status score and the environmental adaptability score in combination with the real-time occupancy rate of the storage bin; The matching warehouses are sorted according to the warehouse dynamic scores, and the warehouse with the highest score is determined as the target warehouse.

5. The intelligent management method for battery compartments in a battery swap station according to claim 4, characterized in that: The matching warehouses are sorted according to the warehouse dynamic score, and the warehouse with the highest score is determined as the target warehouse, which also includes the following steps: Record and update the cumulative usage times of each adapted position; When the cumulative number of times used reaches a preset threshold, a maintenance inspection reminder is triggered; The comprehensive score is calculated based on the dynamic score of the storage space, the cumulative number of times it has been used, and the time of the most recent maintenance inspection; Select the position with the highest comprehensive score and that has not reached the maintenance inspection time as the target position; The dynamic position score and cumulative usage times of each applicable position are updated in real time.

6. The intelligent management method for battery compartments in a battery swap station according to claim 5, characterized in that: The comprehensive score is calculated based on the dynamic score of the storage space, the cumulative number of times used, and the time of the most recent maintenance inspection, including the following steps: Normalize the cumulative number of times used to obtain N'=N / Nmax, where N is the cumulative number of times used, N' is the normalized cumulative number of times used, and Nmax is the maximum number of times used threshold; According to the most recent maintenance inspection time, calculate Δt=current time-most recent maintenance inspection time, where Δt is the time from the last maintenance; According to the warehouse dynamic score, the normalized cumulative usage times and the time since the last maintenance, CS=aDS+bN′+cf(Δt) is calculated, wherein a, b, c are weight coefficients, f(Δt) is the time decay function, f(Δt)=tanh(αΔt+β), -1≤f(Δt)≤1, α, β are shape parameters fitted according to historical data, CS is the comprehensive score, and DS is the warehouse dynamic score.

7. The intelligent management method for battery compartments in a battery swap station according to claim 1, characterized in that: After real-time detection of the force data of the battery pack during the import process, the method further includes the following steps: Collect the guide arm pressure, tray support force and posture data of the battery pack during the import process to obtain the real-time status data of the battery pack; calculate the spatial posture deviation and motion trajectory deviation of the battery pack according to the real-time status data to obtain a comprehensive deviation value; When the comprehensive deviation value exceeds a preset safety threshold, the steering angle and the support height are calculated in combination with the characteristic parameters of the battery pack to obtain the coordinated control parameters; Based on the collaborative control parameters, the guide angle of the V-shaped guide groove, the support height and the introduction speed of the lifting auxiliary tray are synchronously adjusted; Monitor the adjusted import status in real time, and perform deceleration or braking operations when an abnormality is detected.

8. The intelligent management method for battery compartments in a battery swap station according to claim 7, characterized in that: The guiding angle and the supporting height are calculated in combination with the characteristic parameters of the battery pack to obtain the coordinated control parameters, which specifically includes the following steps: Obtain the length L, width W, height H and weight M of the battery pack; According to the length L and the width W, the guide angle θ of the V-shaped guide groove is calculated, θ=arctan(W / L)+g(L,W), where g(L,W) is an angle correction function determined according to the aspect ratio of the battery pack; According to the weight M, the support height H' of the lifting auxiliary tray is calculated, H'=H+k*M, where k is a height correction coefficient obtained by fitting the historical data; According to the guide angle and the support height, calculate the introduction speed v of the battery pack, v = v_max*e (-αθ-β*H′) ; Among them, v_max is the maximum allowable import speed, α and β are speed adjustment parameters; A coordinated control parameter is obtained according to the guide angle, the support height and the introduction speed of the battery pack.

9. An intelligent management system for battery compartments in a battery swap station, applied to a battery swap station system, the battery swap station system comprising a battery compartment array, a battery transfer mechanism and a flexible positioning device, characterized in that: The battery compartment intelligent management system includes: A battery information acquisition module is used to obtain the type information, size parameters and weight parameters of the battery pack to be replaced; An instruction receiving module, used for receiving a battery transport instruction; A performance coefficient acquisition module, used to acquire an overall performance coefficient and a partition performance coefficient according to the type information, wherein the overall performance coefficient includes a battery pack replacement efficiency coefficient and a safety stability coefficient, and the partition performance coefficient includes a warehouse environment adaptability coefficient and a position matching coefficient; A storage location selection module, used for selecting a target battery storage location according to the overall performance coefficient and the partition performance coefficient, wherein the target battery storage location is provided with a flexible positioning device, and the flexible positioning device includes a retractable V-shaped guide groove and a lifting auxiliary tray; A transfer control module, used to control the battery transfer mechanism to transfer the corresponding battery pack to the entrance position of the target battery storage location; A guide groove control module, used to control the V-shaped guide groove to expand to a preset position matching the size parameter; A tray control module, used for controlling the lifting auxiliary tray to adjust to a preset height according to the weight parameter; An import control module, used to import and fix the battery pack into the target battery compartment through the cooperation between the V-shaped guide groove and the lifting auxiliary tray; Among them, the V-shaped guide groove and the lifting auxiliary tray are both provided with force sensors for real-time detection of the force data of the battery pack during the import process. When abnormal force is detected, a protection mechanism is triggered to stop the import action.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the intelligent management method for battery compartments of battery swap stations as described in any one of claims 1 to 8 when executing the computer program.

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