A portable intelligent shared charging method, system, medium and device

By combining iris and facial recognition technology with battery remaining power and temperature index, a comprehensive evaluation coefficient is calculated, which solves the problem that energy storage devices cannot adaptively recommend power sources. This enables intelligent power source recommendation and user habit adaptation, improving the convenience and safety of device use.

CN115330208BActive Publication Date: 2026-06-26EERDUOSI DONGCHEN COAL MINE CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
EERDUOSI DONGCHEN COAL MINE CO LTD
Filing Date
2022-08-17
Publication Date
2026-06-26

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Abstract

The present application relates to the technical field of energy storage, more particularly to a portable intelligent shared charging method, system, medium and equipment. The scheme comprises matching a user serial number according to iris and face information, collecting a remaining battery percentage, a current temperature of a battery storage device and a distance index; obtaining one of a basic power index or an advanced power index according to the remaining battery percentage; obtaining one of a basic safety index or an advanced safety index according to the current temperature of the battery storage device; calculating a comprehensive evaluation coefficient according to the classification level; and providing the battery storage device to the user according to the comprehensive evaluation coefficient. The scheme learns user habits and positions through iris and face assistance, and combines online analysis of energy storage system power and system state to intelligently recommend a power source, thereby adapting to user habits and facilitating use while ensuring system safety and device service life.
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Description

Technical Field

[0001] This invention relates to the field of energy storage technology, and more specifically, to a portable intelligent shared charging method, system, medium, and device. Background Technology

[0002] With the continuous development of power electronics technology, the cost of energy storage devices is constantly decreasing, and the types and application scenarios of energy storage power supplies are also increasing. More and more scenarios require users to have access to energy storage power anytime, anywhere for work, study, or other operations. To meet user needs, customizable energy storage devices are constantly emerging, especially energy storage models based on shared charging.

[0003] Prior to this invention, existing oven energy storage primarily involved installing several energy storage power sources within a cabinet. Each time a user arrived, the energy storage power was extracted based on the input device type. However, in actual operation, it was impossible to adaptively recommend and control power based on the user's location, user habits, energy storage system capacity, and system status. Summary of the Invention

[0004] In view of the above problems, this invention proposes a portable intelligent shared charging method, system, medium and device. It learns user habits and location through iris and face recognition, and combines online analysis of energy storage system power and system status to make intelligent power recommendations. Under the premise of ensuring system safety and equipment lifespan, it adapts to user habits and is convenient to use.

[0005] According to a first aspect of the present invention, a portable intelligent shared charging method is provided.

[0006] In one or more embodiments, preferably, the portable smart shared charging method includes:

[0007] The system matches user serial numbers based on iris and facial information, and collects the remaining battery power percentage, current temperature of the energy storage device, and distance index.

[0008] One of the basic capacity index or the advanced capacity index is obtained based on the remaining battery capacity percentage;

[0009] A safety index is obtained based on the current temperature of the energy storage device, and one of the basic safety index or the advanced safety index is obtained;

[0010] The current classification level is determined based on the remaining battery power percentage and the safety index.

[0011] A comprehensive evaluation coefficient is calculated based on the classification level and in combination with the existing basic power index, advanced power index, basic safety index, advanced safety index, and distance index.

[0012] Based on the comprehensive evaluation coefficient, energy storage equipment is provided to users.

[0013] In one or more embodiments, preferably, the step of matching the user serial number based on iris and facial information, and collecting the remaining battery power percentage, the current temperature of the energy storage device, and the distance index specifically includes:

[0014] Based on the iris sensor data, it is determined whether the obtained user information is existing information. If it is existing information, the first verification is successful.

[0015] Based on facial recognition, determine whether the obtained user information is existing information. If it is existing information, then a second verification is successfully issued.

[0016] Upon receiving the first successful verification or the second successful verification, determine the current user's location, calculate the distance between each energy storage device and the current user's location as a distance index, and issue a battery acquisition command.

[0017] Upon receiving the battery acquisition command, the remaining battery percentage of each energy storage device is collected, and a temperature acquisition command is issued.

[0018] Upon receiving the temperature acquisition command, the current temperature of each energy storage device is acquired.

[0019] In one or more embodiments, preferably, obtaining one of a basic capacity index or an advanced capacity index based on the remaining battery capacity percentage specifically includes:

[0020] Obtain the remaining percentage of the battery's charge;

[0021] The basic or advanced power index is obtained based on the remaining battery power percentage using the first calculation formula.

[0022] The first calculation formula is:

[0023] ;

[0024] in, SOC This represents the remaining battery charge percentage. SOC 1 is the basic energy index. SOC 2 represents the advanced power index.

[0025] In one or more embodiments, preferably, obtaining a safety index based on the current temperature of the energy storage device, and obtaining one of a basic safety index or an advanced safety index, specifically includes:

[0026] Obtain the current temperature of the energy storage device;

[0027] Obtain the rated operating temperature, minimum operating temperature, and maximum operating temperature of the energy storage device;

[0028] The safety index of each energy storage device is calculated using the second calculation formula.

[0029] The basic security index or the advanced security index is calculated using the third calculation formula based on the security index.

[0030] The second calculation formula is:

[0031] ;

[0032] in, SAFE For safety index, T i For the first i The current temperature of the battery storage device. T E The rated operating temperature of the energy storage device. T Z Minimum operating temperature, T G This is the maximum operating temperature;

[0033] The third calculation formula is:

[0034] ;

[0035] in, SAFE 1 is the basic security index. SAFE 2 represents a high level of security.

[0036] In one or more embodiments, preferably, determining the current classification level based on the remaining battery charge percentage and the safety index specifically includes:

[0037] Obtain the remaining power percentage of each battery and the safety index of each energy storage device;

[0038] If both the remaining battery charge percentage and the safety index of the energy storage device are not less than 0.8, then the corresponding battery is classified as a Class I battery.

[0039] If both the remaining battery charge percentage and the safety index of the energy storage device are less than 0.8, then the corresponding battery is classified as a Class IV battery.

[0040] If the remaining battery charge percentage of the storage device is less than 0.8 and the safety index is not less than 0.8, then the corresponding battery is classified as a Class III battery.

[0041] If the remaining battery charge percentage of the storage device is not less than 0.8 and the safety index is less than 0.8, then the corresponding battery is classified as a Class II battery.

[0042] In one or more embodiments, preferably, the step of calculating a comprehensive evaluation coefficient based on the classification level and in combination with the existing basic power index, advanced power index, basic safety index, advanced safety index, and distance index specifically includes:

[0043] Obtain the classification level of each energy storage device, extract the user habit index of the current user, and set the distance index; the user habit index is the score of the user's previous evaluations, and if no score is given, it is counted as 5 points by default;

[0044] When the classification level of the energy storage device is a Class I battery, the Class I evaluation index is calculated using the fourth calculation formula.

[0045] When the energy storage device is classified as a Class II battery, the Class II evaluation index is calculated using the fifth calculation formula.

[0046] When the energy storage device is classified as a Class III battery, the Class III evaluation index is calculated using the sixth calculation formula.

[0047] When the energy storage device is classified as a Class IV battery, the Class IV evaluation index is calculated using the seventh calculation formula.

[0048] The first, second, third or fourth evaluation index of each energy storage device is used as the comprehensive evaluation coefficient of the corresponding energy storage device.

[0049] The fourth calculation formula is:

[0050] ;

[0051] in, Y User habit index J The distance index, L 1 represents a type of evaluation index. k 1. k 2. k 3 and k 4 represents the first, second, third, and fourth category evaluation coefficients, respectively.

[0052] The fifth calculation formula is:

[0053] ;

[0054] in, Y User habit index J The distance index, L 2 represents a second-category evaluation index. q 1. q 2. q 3 and q 4 represents the first, second, third, and fourth category II evaluation coefficients, in that order.

[0055] The sixth calculation formula is:

[0056] ;

[0057] in, Y User habit index J The distance index, L 3 represents three categories of evaluation indices. w 1. w 2. w 3 and w 4 represents the first, second, third, and fourth evaluation coefficients in that order.

[0058] The seventh calculation formula is:

[0059] ;

[0060] in, Y User habit index J The distance index, L 4 represents four categories of evaluation indices. e 1. e 2. e 3 and e 4 represents the first, second, third, and fourth evaluation coefficients in that order.

[0061] In one or more embodiments, preferably, providing the energy storage device to the user based on the comprehensive evaluation coefficient specifically includes:

[0062] Obtain the comprehensive evaluation coefficient for each energy storage device, and perform comparative calculations to obtain the maximum value of the comprehensive evaluation coefficient;

[0063] The corresponding energy storage device is extracted based on the maximum value of the comprehensive evaluation coefficient, and the corresponding energy storage device is sent to the user.

[0064] Users are required to provide a user rating within 10 days of receiving the energy storage device. The new user habit index is then updated based on all historical user ratings for the corresponding energy storage device.

[0065] According to a second aspect of the present invention, a portable intelligent shared charging system is provided to implement the method as described in any one of the first aspects of the present invention.

[0066] In one or more embodiments, preferably, the portable smart shared charging system includes:

[0067] The information collection module is used to match the user's serial number based on iris and facial information, and to collect the remaining battery power percentage, the current temperature of the energy storage device, and the distance index.

[0068] The power analysis module is used to obtain either a basic power index or an advanced power index based on the remaining power percentage of the battery.

[0069] The safety analysis module is used to obtain a safety index based on the current temperature of the energy storage device, and to obtain either a basic safety index or an advanced safety index.

[0070] The classification module is used to determine the current classification level based on the remaining battery power percentage and the safety index.

[0071] The classification recommendation module is used to calculate a comprehensive evaluation coefficient based on the classification level and in combination with the existing basic power index, advanced power index, basic safety index, advanced safety index and distance index;

[0072] The device output module is used to provide energy storage devices to users based on the comprehensive evaluation coefficient.

[0073] According to a third aspect of the present invention, a computer-readable storage medium is provided that stores computer program instructions thereon, which, when executed by a processor, implement the method as described in any one of the first aspects of the present invention.

[0074] According to a fourth aspect of the present invention, an electronic device is provided, including a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method described in any one aspect of the present invention.

[0075] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0076] The present invention uses iris and facial recognition to achieve fast and reliable extraction and learning of user information.

[0077] The present invention combines system power and system status with user information to recommend the optimal device, adapting to user habits and making it convenient to use.

[0078] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0079] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0080] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0081] Figure 1 This is a flowchart of a portable intelligent shared charging method according to an embodiment of the present invention.

[0082] Figure 2 This is a flowchart illustrating a portable intelligent shared charging method according to an embodiment of the present invention, which involves matching user serial numbers based on iris and facial information, and collecting the remaining battery power percentage, the current temperature of the energy storage device, and the distance index.

[0083] Figure 3 This is a flowchart illustrating one of the basic power index or advanced power index in a portable intelligent shared charging method according to an embodiment of the present invention.

[0084] Figure 4 This is a flowchart illustrating how a portable intelligent shared charging method according to an embodiment of the present invention obtains a safety index based on the current temperature of the energy storage device, and obtains either a basic safety index or an advanced safety index.

[0085] Figure 5 This is a flowchart illustrating how a portable intelligent shared charging method, according to an embodiment of the present invention, determines the current classification level based on the remaining battery power percentage and the safety index.

[0086] Figure 6 This is a flowchart illustrating the calculation of a comprehensive evaluation coefficient based on the classification level and in conjunction with the existing basic power index, advanced power index, basic safety index, advanced safety index, and distance index in a portable intelligent shared charging method according to an embodiment of the present invention.

[0087] Figure 7 This is a flowchart illustrating how a portable intelligent shared charging method according to an embodiment of the present invention provides a power storage device to a user based on the comprehensive evaluation coefficient.

[0088] Figure 8 This is a structural diagram of a portable intelligent shared charging system according to an embodiment of the present invention.

[0089] Figure 9 This is a structural diagram of an electronic device according to one embodiment of the present invention. Detailed Implementation

[0090] In some of the processes described in the specification, claims, and accompanying drawings of this invention, multiple operations appearing in a specific order are included. However, it should be clearly understood that these operations may not be executed in the order they appear herein, or may be executed in parallel. The operation numbers, such as 101, 102, etc., are merely used to distinguish different operations and do not represent any execution order. Furthermore, these processes may include more or fewer operations, and these operations may be executed sequentially or in parallel. It should be noted that the descriptions such as "first," "second," etc., in this document are used to distinguish different messages, devices, modules, etc., and do not represent a sequential order, nor do they limit "first" and "second" to different types.

[0091] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0092] With the continuous development of power electronics technology, the cost of energy storage devices is constantly decreasing, and the types and application scenarios of energy storage power supplies are also increasing. More and more scenarios require users to have access to energy storage power anytime, anywhere for work, study, or other operations. To meet user needs, customizable energy storage devices are constantly emerging, especially energy storage models based on shared charging.

[0093] Prior to this invention, existing oven energy storage primarily involved installing several energy storage power sources within a cabinet. Each time a user arrived, the energy storage power was extracted based on the input device type. However, in actual operation, it was impossible to adaptively recommend and control power based on the user's location, user habits, energy storage system capacity, and system status.

[0094] This invention provides a portable intelligent shared charging method, system, medium, and device. This solution learns user habits and location using iris and facial recognition, and combines this with online analysis of the energy storage system's power level and system status to intelligently recommend power sources. While ensuring system safety and device lifespan, it adapts to user habits and facilitates convenient access.

[0095] According to a first aspect of the present invention, a portable intelligent shared charging method is provided.

[0096] Figure 1 This is a flowchart of a portable intelligent shared charging method according to an embodiment of the present invention.

[0097] In one or more embodiments, preferably, the portable smart shared charging method includes:

[0098] s101. Match the user serial number based on iris and facial information, and collect the remaining battery power percentage, current temperature of the energy storage device, and distance index;

[0099] s102. Obtain either a basic power index or an advanced power index based on the remaining battery power percentage;

[0100] s103. Obtain a safety index based on the current temperature of the energy storage device, and obtain either a basic safety index or an advanced safety index;

[0101] s104. Determine the current classification level based on the remaining battery power percentage and the safety index;

[0102] s105. Calculate a comprehensive evaluation coefficient based on the classification level and in conjunction with the existing basic power index, advanced power index, basic safety index, advanced safety index, and distance index;

[0103] s106. Provide energy storage equipment to users based on the comprehensive evaluation coefficient.

[0104] In this embodiment of the invention, iris and face recognition are used to quickly and reliably extract and learn user information. This learning process enables the system to determine whether the iris and face information is from an already authenticated user or incorrect user information each time it is obtained, achieving efficient, fast and intelligent information matching. In addition, rapid device status matching is also performed. Based on the system's battery level, system status and user information recommendations, the system recommends the optimal device to suit user habits and facilitate access.

[0105] Figure 2This is a flowchart illustrating a portable intelligent shared charging method according to an embodiment of the present invention, which involves matching user serial numbers based on iris and facial information, and collecting the remaining battery power percentage, the current temperature of the energy storage device, and the distance index.

[0106] like Figure 2 As shown, in one or more embodiments, preferably, the step of matching the user serial number based on iris and facial information, and collecting the remaining battery power percentage, the current temperature of the energy storage device, and the distance index specifically includes:

[0107] s201. Based on the iris sensor data, determine whether the obtained user information is existing information. If it is existing information, then issue the first verification successful.

[0108] s202. Based on the facial recognition data, determine whether the obtained user information is existing information. If it is existing information, then issue a second verification successfully.

[0109] s203. After receiving the first successful verification or the second successful verification, determine the current location of the user, calculate the distance between each energy storage device and the current location of the user as the distance index, and issue a battery acquisition command.

[0110] s204. After receiving the battery acquisition command, collect the remaining battery power percentage of each energy storage device and issue a temperature acquisition command.

[0111] s205. After receiving the temperature acquisition command, acquire the current temperature of each energy storage device.

[0112] In this embodiment of the invention, in order to track and collect battery signals online, a process-oriented control sequence is used to collect the energy storage capacity, current temperature and distance index of different energy storage devices in sequence. In this process, the distance index mainly refers to the distance the user walks to the corresponding charging device. This distance is obtained offline and the time required to reach each energy storage device is updated in real time according to the current location of the user each time.

[0113] Figure 3 This is a flowchart illustrating one of the basic power index or advanced power index in a portable intelligent shared charging method according to an embodiment of the present invention.

[0114] like Figure 3 As shown, in one or more embodiments, preferably, obtaining one of a basic capacity index or an advanced capacity index based on the remaining battery capacity percentage specifically includes:

[0115] s301. Obtain the remaining percentage of the battery's charge;

[0116] s302. Obtain the basic power index or advanced power index based on the remaining power percentage of the battery using the first calculation formula;

[0117] The first calculation formula is:

[0118] ;

[0119] in, SOC This represents the remaining battery charge percentage. SOC 1 is the basic energy index. SOC 2 represents the advanced battery level indicator;

[0120] In this embodiment of the invention, in order to quickly extract the power index, it is divided into two types. When the remaining power percentage of the battery is greater than or equal to 80%, an advanced power index is generated; otherwise, a basic power index is generated for calculation based on the classification level.

[0121] Figure 4 This is a flowchart illustrating how a portable intelligent shared charging method according to an embodiment of the present invention obtains a safety index based on the current temperature of the energy storage device, and obtains either a basic safety index or an advanced safety index.

[0122] like Figure 4 As shown, in one or more embodiments, preferably, obtaining a safety index based on the current temperature of the energy storage device, and obtaining one of a basic safety index or an advanced safety index, specifically includes:

[0123] s401. Obtain the current temperature of the energy storage device;

[0124] s402. Obtain the rated operating temperature, minimum operating temperature, and maximum operating temperature of the energy storage equipment;

[0125] s403. Calculate the safety index of each energy storage device using the second calculation formula;

[0126] s404. Calculate the basic security index or the advanced security index using the third calculation formula based on the security index;

[0127] The second calculation formula is:

[0128] ;

[0129] in, SAFE For safety index, T i For the first i The current temperature of the battery storage device. T E The rated operating temperature of the energy storage device.T Z Minimum operating temperature, T G This is the maximum operating temperature;

[0130] The third calculation formula is:

[0131] ;

[0132] in, SAFE 1 is the basic security index. SAFE 2 represents a high level of security.

[0133] In this embodiment of the invention, in order to perform effective equipment status analysis, the analysis is based on temperature. However, a comprehensive safety index calculation must be performed based on the minimum, maximum and rated operating temperatures of each energy storage device. Then, devices with excessively high safety indices are analyzed separately to achieve real-time classified equipment status assessment.

[0134] Figure 5 This is a flowchart illustrating how a portable intelligent shared charging method, according to an embodiment of the present invention, determines the current classification level based on the remaining battery power percentage and the safety index.

[0135] like Figure 5 As shown, in one or more embodiments, preferably, determining the current classification level based on the remaining battery charge percentage and the safety index specifically includes:

[0136] s501. Obtain the remaining power percentage of each battery and the safety index of each energy storage device;

[0137] s502. If both the remaining battery charge percentage and the safety index of the energy storage device are not less than 0.8, then the corresponding battery is classified as a Class I battery.

[0138] s503. If both the remaining battery capacity percentage and the safety index of the energy storage device are less than 0.8, then the corresponding battery is classified as a Class IV battery.

[0139] s504. If the remaining battery charge percentage of the storage device is less than 0.8 and the safety index is not less than 0.8, then the corresponding battery is classified as a Class III battery.

[0140] s505. If the remaining battery charge percentage of the storage device is not less than 0.8 and the safety index is less than 0.8, then the corresponding battery is classified as a Class II battery.

[0141] In this embodiment of the invention, online classification of energy storage devices was performed, mainly based on online analysis of the remaining battery capacity and battery temperature. After analysis, all energy storage devices were divided into four different battery categories. These classifications change in real time according to the collected data, in preparation for subsequent classification evaluation.

[0142] Figure 6 This is a flowchart illustrating the calculation of a comprehensive evaluation coefficient based on the classification level and in conjunction with the existing basic power index, advanced power index, basic safety index, advanced safety index, and distance index in a portable intelligent shared charging method according to an embodiment of the present invention.

[0143] like Figure 6 As shown, in one or more embodiments, preferably, the step of calculating a comprehensive evaluation coefficient based on the classification level and in combination with the existing basic power index, advanced power index, basic safety index, advanced safety index, and distance index specifically includes:

[0144] s601. Obtain the classification level of each energy storage device, extract the user habit index of the current user, and set the distance index;

[0145] s602. When the classification level of the energy storage device is a Class I battery, calculate the Class I evaluation index using the fourth calculation formula;

[0146] s603. When the classification level of the energy storage device is Class II battery, the Class II evaluation index shall be calculated using the fifth calculation formula.

[0147] s604. When the classification level of the energy storage device is Class III battery, the Class III evaluation index shall be calculated using the sixth calculation formula.

[0148] s605. When the classification level of the energy storage device is a Class IV battery, the Class IV evaluation index shall be calculated using the seventh calculation formula.

[0149] s606. Use the first-class evaluation index, second-class evaluation index, third-class evaluation index or fourth-class evaluation index of each energy storage device as the comprehensive evaluation coefficient of the corresponding energy storage device.

[0150] The fourth calculation formula is:

[0151] ;

[0152] in, Y User habit index J The distance index, L 1 represents a type of evaluation index. k 1. k 2.k 3 and k 4 represents the first, second, third, and fourth category evaluation coefficients, respectively.

[0153] In this embodiment of the invention, a Class I evaluation index is calculated when the remaining battery charge percentage is less than 80% and the safety index is less than 0.8. The maximum value of the Class I evaluation index is used as the user's recommended power source. The user habit index is calculated by taking the user's scores from previous evaluations and directly relating them to the power source used at that time. If the user does not make an evaluation, it is assumed to be a perfect score, and the preferred perfect score in this scheme is 5 points. In addition, the first, second, third, and fourth Class I evaluation coefficients are all pre-set real numbers that are less than 1 and greater than 0.

[0154] The fifth calculation formula is:

[0155] ;

[0156] in, Y User habit index J The distance index, L 2 represents a second-category evaluation index. q 1. q 2. q 3 and q 4 represents the first, second, third, and fourth category II evaluation coefficients, in that order.

[0157] In this embodiment of the invention, a binary evaluation index is calculated when the remaining battery charge percentage is greater than or equal to 80% and the safety index is less than 0.8. The maximum value of the binary evaluation index is used as the user's recommended power source. Furthermore, the first, second, third, and fourth binary evaluation coefficients are all pre-set real numbers that are less than 1 and greater than 0.

[0158] The sixth calculation formula is:

[0159] ;

[0160] in, Y User habit index J The distance index, L 3 represents three categories of evaluation indices. w 1. w 2. w 3 and w 4 represents the first, second, third, and fourth evaluation coefficients in that order.

[0161] In this embodiment of the invention, the main focus is on calculating a three-category evaluation index when the remaining battery charge percentage is less than 80% and the safety index is greater than or equal to 0.8. The maximum value of the three-category evaluation index is then used as the user's recommended power source. Furthermore, the first, second, third, and fourth three-category evaluation coefficients are all pre-set real numbers less than 1 and greater than 0.

[0162] The seventh calculation formula is:

[0163] ;

[0164] in, Y User habit index J The distance index, L 4 represents four categories of evaluation indices. e 1. e 2. e 3 and e 4 represents the first, second, third, and fourth evaluation coefficients in that order.

[0165] ;

[0166] in, Y User habit index J The distance index, k 1. k 2. k 3 and k 4 represents the first, second, third, and fourth category evaluation coefficients, respectively.

[0167] In this embodiment of the invention, a four-category evaluation index is calculated when the remaining battery power percentage is greater than or equal to 80% and the safety index is greater than or equal to 0.8. The maximum value of the four-category evaluation index is used as the user's recommended power source. In addition, the first, second, third and fourth four-category evaluation coefficients are all real numbers that are less than 1 and greater than 0, which are preset.

[0168] Figure 7 This is a flowchart illustrating how a portable intelligent shared charging method according to an embodiment of the present invention provides a power storage device to a user based on the comprehensive evaluation coefficient.

[0169] like Figure 7 As shown, in one or more embodiments, preferably, providing the energy storage device to the user based on the comprehensive evaluation coefficient specifically includes:

[0170] s701. Obtain the comprehensive evaluation coefficient of each energy storage device and perform a comparison calculation to obtain the maximum value of the comprehensive evaluation coefficient;

[0171] s702. Extract the corresponding energy storage device based on the maximum value of the comprehensive evaluation coefficient, and send the corresponding energy storage device to the user;

[0172] s703. Within 10 days of receiving the energy storage device, the user provides a user rating. The user rating is updated based on all historical user ratings for the corresponding energy storage device.

[0173] In this embodiment of the invention, each existing energy storage device generates a comprehensive evaluation coefficient. The maximum value among these coefficients will be used to locate the energy storage device most suitable for the user. This energy storage device is recommended to the corresponding user, and the user habit index of the corresponding energy storage device is updated to form a control closed loop.

[0174] According to a second aspect of the present invention, a portable intelligent shared charging system is provided.

[0175] Figure 8 This is a structural diagram of a portable intelligent shared charging system according to an embodiment of the present invention.

[0176] In one or more embodiments, preferably, the portable smart shared charging system includes:

[0177] The information acquisition module 801 is used to match the user serial number based on iris and face information, and to collect the remaining battery power percentage, the current temperature of the energy storage device and the distance index.

[0178] The power analysis module 802 is used to obtain one of a basic power index or an advanced power index based on the remaining power percentage of the battery.

[0179] The safety analysis module 803 is used to obtain a safety index based on the current temperature of the energy storage device, and to obtain one of a basic safety index or an advanced safety index.

[0180] The classification module 804 is used to determine the current classification level based on the remaining battery power percentage and the safety index.

[0181] The classification recommendation module 805 is used to calculate a comprehensive evaluation coefficient based on the classification level and in combination with the existing basic power index, advanced power index, basic safety index, advanced safety index and distance index;

[0182] The device output module 806 is used to provide the energy storage device to the user based on the comprehensive evaluation coefficient.

[0183] In this embodiment of the invention, in order to modularly process the recommendation of energy storage devices, information collection, power analysis, and safety analysis are completed, and then classification and recommendation are carried out on this basis to form an effective and intelligent device recommendation scheme.

[0184] According to a third aspect of the present invention, a computer-readable storage medium is provided that stores computer program instructions thereon, which, when executed by a processor, implement the method as described in any one of the first aspects of the present invention.

[0185] According to a fourth aspect of the present invention, an electronic device is provided. Figure 9 This is a structural diagram of an electronic device according to one embodiment of the present invention. Figure 9 The illustrated electronic device is a general-purpose portable intelligent shared charging device, comprising a general-purpose computer hardware architecture, including at least a processor 901 and a memory 902. The processor 901 and memory 902 are connected via a bus 903. The memory 902 is adapted to store instructions or programs executable by the processor 901. The processor 901 can be a standalone microprocessor or a collection of one or more microprocessors. Thus, the processor 901 executes the instructions stored in the memory 902, thereby performing the method flow of the embodiments of the present invention as described above to process data and control other devices. The bus 903 connects the aforementioned components together, and also connects these components to a display controller 904, a display device, and an input / output (I / O) device 905. The input / output (I / O) device 905 can be a mouse, keyboard, modem, network interface, touch input device, motion-sensing input device, printer, and other devices known in the art. Typically, the input / output device 905 is connected to the system via an input / output (I / O) controller 906.

[0186] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0187] The present invention uses iris and facial recognition to achieve fast and reliable extraction and learning of user information.

[0188] The present invention combines system power and system status with user information to recommend the optimal device, adapting to user habits and making it convenient to use.

[0189] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0190] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure One One or more processes and / or boxes Figure One A device that provides the functions specified in one or more boxes.

[0191] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure One One or more processes and / or boxes Figure One The function specified in one or more boxes.

[0192] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure One One or more processes and / or boxes Figure One The steps of the function specified in one or more boxes.

[0193] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A portable intelligent shared charging method, characterized in that, The method includes: The system matches user serial numbers based on iris and facial information, and collects the remaining battery power percentage, current temperature of the energy storage device, and distance index. One of the basic capacity index or the advanced capacity index is obtained based on the remaining battery capacity percentage; A safety index is obtained based on the current temperature of the energy storage device, and one of the basic safety index or the advanced safety index is obtained; The current classification level is determined based on the remaining battery power percentage and the safety index. A comprehensive evaluation coefficient is calculated based on the classification level and in combination with the existing basic power index, advanced power index, basic safety index, advanced safety index, and distance index. Based on the comprehensive evaluation coefficient, provide energy storage equipment to users; The step of determining the current classification level based on the remaining battery charge percentage and the safety index specifically includes: Obtain the remaining power percentage of each battery and the safety index of each energy storage device; If both the remaining battery charge percentage and the safety index of the energy storage device are not less than 0.8, then the corresponding battery is classified as a Class I battery. If both the remaining battery charge percentage and the safety index of the energy storage device are less than 0.8, then the corresponding battery is classified as a Class IV battery. If the remaining battery charge percentage of the storage device is less than 0.8 and the safety index is not less than 0.8, then the corresponding battery is classified as a Class III battery. If the remaining battery charge percentage of the storage device is not less than 0.8 and the safety index is less than 0.8, then the corresponding battery is classified as a Class II battery. The calculation of a comprehensive evaluation coefficient based on the classification level and in conjunction with the existing basic power index, advanced power index, basic safety index, advanced safety index, and distance index specifically includes: Obtain the classification level of each energy storage device, extract the user habit index of the current user, and set the distance index; the user habit index is the score of the user's previous evaluations, and if no score is given, it is counted as 5 points by default; When the classification level of the energy storage device is a Class I battery, the Class I evaluation index is calculated using the fourth calculation formula. When the energy storage device is classified as a Class II battery, the Class II evaluation index is calculated using the fifth calculation formula. When the energy storage device is classified as a Class III battery, the Class III evaluation index is calculated using the sixth calculation formula. When the energy storage device is classified as a Class IV battery, the Class IV evaluation index is calculated using the seventh calculation formula. The first, second, third or fourth evaluation index of each energy storage device is used as the comprehensive evaluation coefficient of the corresponding energy storage device. The fourth calculation formula is: ; in, Y User habit index J The distance index, L 1 represents a type of evaluation index. k 1. k 2. k 3 and k 4 represents the first, second, third, and fourth category evaluation coefficients, respectively. SOC 1 is the basic energy index. SAFE 1 is the basic security index; The fifth calculation formula is: ; in, Y User habit index J The distance index, L 2 represents a second-category evaluation index. q 1. q 2. q 3 and q 4 represents the first, second, third, and fourth category II evaluation coefficients, respectively. SOC 2 represents the advanced battery level indicator. SAFE 2 represents a high level of security. The sixth calculation formula is: ; in, Y User habit index J The distance index, L 3 represents three categories of evaluation indices. w 1. w 2. w 3 and w 4 represents the first, second, third, and fourth evaluation coefficients in that order. The seventh calculation formula is: ; in, Y User habit index J The distance index, L 4 represents four categories of evaluation indices. e 1. e 2. e 3 and e 4 represents the first, second, third, and fourth evaluation coefficients in that order.

2. The portable intelligent shared charging method as described in claim 1, characterized in that, The process of matching user serial numbers based on iris and facial information, and collecting the remaining battery percentage, current temperature of the energy storage device, and distance index specifically includes: Based on the iris sensor data, it is determined whether the obtained user information is existing information. If it is existing information, the first verification is successful. Based on facial recognition, determine whether the obtained user information is existing information. If it is existing information, then a second verification is successfully issued. Upon receiving the first successful verification or the second successful verification, determine the current user's location, calculate the distance between each energy storage device and the current user's location as a distance index, and issue a battery acquisition command. Upon receiving the battery acquisition command, the remaining battery percentage of each energy storage device is collected, and a temperature acquisition command is issued. Upon receiving the temperature acquisition command, the current temperature of each energy storage device is acquired.

3. The portable intelligent shared charging method as described in claim 1, characterized in that, The step of obtaining either a basic capacity index or an advanced capacity index based on the remaining battery capacity percentage specifically includes: Obtain the remaining percentage of the battery's charge; The basic or advanced power index is obtained based on the remaining battery power percentage using the first calculation formula. The first calculation formula is: ; in, SOC This represents the remaining battery charge percentage. SOC 1 is the basic energy index. SOC 2 represents the advanced power index.

4. A portable intelligent shared charging method as described in claim 1, characterized in that, The process of obtaining a safety index based on the current temperature of the energy storage device, and obtaining either a basic safety index or an advanced safety index, specifically includes: Obtain the current temperature of the energy storage device; Obtain the rated operating temperature, minimum operating temperature, and maximum operating temperature of the energy storage device; The safety index of each energy storage device is calculated using the second calculation formula. The basic security index or the advanced security index is calculated using the third calculation formula based on the security index. The second calculation formula is: ; in, SAFE For safety index, T i For the first i The current temperature of the battery storage device. T E The rated operating temperature of the energy storage device. T Z Minimum operating temperature, T G This is the maximum operating temperature; The third calculation formula is: ; in, SAFE 1 is the basic security index. SAFE 2 represents a high level of security.

5. A portable intelligent shared charging method as described in claim 1, characterized in that, The provision of energy storage equipment to users based on the comprehensive evaluation coefficient specifically includes: Obtain the comprehensive evaluation coefficient for each energy storage device, and perform comparative calculations to obtain the maximum value of the comprehensive evaluation coefficient; The corresponding energy storage device is extracted based on the maximum value of the comprehensive evaluation coefficient, and the corresponding energy storage device is sent to the user. Users are required to provide a user rating within 10 days of receiving the energy storage device. The new user habit index is then updated based on all historical user ratings for the corresponding energy storage device.

6. A portable intelligent shared charging system, characterized in that, The system for implementing the method as described in any one of claims 1-5 comprises: The information collection module is used to match the user's serial number based on iris and facial information, and to collect the remaining battery power percentage, the current temperature of the energy storage device, and the distance index. The power analysis module is used to obtain either a basic power index or an advanced power index based on the remaining power percentage of the battery. The safety analysis module is used to obtain a safety index based on the current temperature of the energy storage device, and to obtain either a basic safety index or an advanced safety index. The classification module is used to determine the current classification level based on the remaining battery power percentage and the safety index. The classification recommendation module is used to calculate a comprehensive evaluation coefficient based on the classification level and in combination with the existing basic power index, advanced power index, basic safety index, advanced safety index and distance index; The device output module is used to provide energy storage devices to users based on the comprehensive evaluation coefficient.

7. A computer-readable storage medium storing computer program instructions thereon, characterized in that, The computer program instructions, when executed by a processor, implement the method as described in any one of claims 1-5.

8. An electronic device comprising a memory and a processor, characterized in that, The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method as described in any one of claims 1-5.