Battery intelligent identification and dynamic charging system for battery swap cabinet

Abstract

The application relates to the technical field of battery dynamic charging, and particularly discloses a battery intelligent identification and dynamic charging system for a battery replacement cabinet, which comprises a processing module, a calculation module and a matching module.The processing module is used for obtaining all reference batteries of an incoming cabinet battery based on all battery type basic parameters of the incoming cabinet battery, and then obtaining all group junction points and all type optimal reference charging parameters of each reference battery of the incoming cabinet battery; the calculation module is used for obtaining charging effect promotion degrees of all type optimal reference charging parameters of each reference battery of the incoming cabinet battery at a current time based on all group junction points and all type optimal reference charging parameters of each reference battery of the incoming cabinet battery; and the matching module is used for obtaining optimal dynamic charging adjustment results of the incoming cabinet battery at the current time based on the output results of the calculation module.The application realizes accurate dynamic adjustment of all type charging parameters of the incoming cabinet battery at any time in a charging time period, reduces unnecessary energy loss, and improves charging efficiency.

Description

Technical Field

[0001] This invention relates to the field of battery dynamic charging technology, and in particular to a battery intelligent identification and dynamic charging system for battery swapping cabinets. Background Technology

[0002] Currently, with the widespread adoption of electric vehicles (such as electric bikes and electric scooters), battery swapping stations, as a crucial infrastructure for battery replacement and charging, directly impact user experience and operating costs through their management efficiency. The diverse types of batteries within these stations, each with varying charging states, present a significant challenge in efficiently and accurately managing their charging processes. Traditional charging methods often employ fixed charging strategies, failing to dynamically adjust charging parameters based on the battery's actual state and needs, resulting in low charging efficiency and substantial energy loss. This problem is particularly pronounced in scenarios with significant differences in battery capacity and diverse charging demands. To improve charging efficiency and reduce energy consumption, a technological solution capable of dynamically adjusting charging parameters based on the battery's current state and charging requirements is needed.

[0003] However, there is currently no intelligent battery identification and dynamic charging system for battery swapping cabinets that can accurately and dynamically adjust all types of charging parameters of the batteries in the cabinet at any time during the charging period, precisely match the charging needs of the batteries in the cabinet at any time during the charging period, reduce unnecessary energy loss, improve charging efficiency, improve the overall utilization rate of the battery swapping cabinet, and reduce operating costs.

[0004] Therefore, this invention proposes a battery intelligent identification and dynamic charging system for battery swapping cabinets. Summary of the Invention

[0005] This invention provides a battery intelligent identification and dynamic charging system for battery swapping cabinets. Based on the basic parameters of all battery types within the cabinet, it obtains all reference batteries for the incoming batteries. This allows for the selection of batteries from all batteries in the cabinet that are relevant to analyzing the optimal dynamic charging adjustment results of the incoming batteries at the current moment. Furthermore, based on the charging parameters and charging efficiency parameters of each reference battery at each moment within the latest charging period, it obtains all pairing points and optimal reference charging parameters for each type of reference battery. This facilitates the subsequent calculation of the charging effect promotion degree. Based on the charging parameters, charging efficiency parameters, and optimal reference charging parameters of each reference battery at the current moment, it obtains the charging effect promotion degree of the optimal reference charging parameters for each type of reference battery at the current moment. This achieves the goal of identifying all reference batteries within the cabinet. The system quantifies the degree to which each type of optimal reference charging parameter promotes the charging effect of the battery in the cabinet at the current moment. Based on the degree of promotion of the charging effect of all types of optimal reference charging parameters for each reference battery at the current moment, it obtains the dynamic adjustment matching value for each reference battery at the current moment. This quantifies the matching degree between the optimal reference charging parameters of each reference battery and the dynamic charging needs of the battery in the cabinet during the dynamic adjustment process. Finally, based on the dynamic adjustment matching value of all reference batteries at the current moment, it obtains the optimal dynamic charging adjustment result for the battery in the cabinet at the current moment. This allows for precise dynamic adjustment of all types of charging parameters at any moment during the charging period, accurately matching the charging needs of the battery at any moment during the charging period, reducing unnecessary energy loss, improving charging efficiency, increasing the overall utilization rate of the battery swapping cabinet, and reducing operating costs.

[0006] This invention provides a battery intelligent identification and dynamic charging system for battery swapping cabinets, comprising:

[0007] The intelligent identification module is used to obtain the legality detection result of the battery in the cabinet based on the ID number of the battery in the cabinet, and to obtain the basic parameters of all types of batteries in the cabinet based on the legality detection result of the battery in the cabinet.

[0008] The processing module is used to obtain all reference batteries of the battery in the cabinet based on the basic parameters of all types of batteries in the cabinet, and to obtain all group pairings and all types of optimal reference charging parameters of each reference battery in the cabinet based on all types of charging parameters and charging efficiency parameters at each moment in the latest charging period.

[0009] The calculation module is used to obtain the charging effect promotion degree of each reference battery in the cabinet at the current moment based on all types of charging parameters, charging efficiency parameters of the battery in the cabinet at the current moment, and all group pairs and all types of best reference charging parameters of each reference battery in the cabinet.

[0010] The matching module is used to obtain the dynamic adjustment matching value of each reference battery in the cabinet at the current moment based on the charging effect promotion degree of all classes of the best reference charging parameters of each reference battery in the cabinet at the current moment, and to obtain the best dynamic charging adjustment result of the cabinet battery at the current moment based on the dynamic adjustment matching value of all reference batteries in the cabinet at the current moment.

[0011] Preferably, the intelligent identification and dynamic charging system for battery swapping cabinets includes an intelligent identification module comprising:

[0012] The identification submodule is used to recognize the battery's legality as the result of the battery being placed in the cabinet when the ID number of the battery is matched with the preset ID number database.

[0013] The reading submodule is used to read all the basic parameters of the battery type when the legality test result of the battery in the cabinet is legal. The basic parameters of all battery types include the battery rated capacity and battery health status.

[0014] Preferably, the battery intelligent identification and dynamic charging system for the battery swapping cabinet includes a processing module comprising:

[0015] The acquisition submodule is used to take all batteries in the battery swapping cabinet whose basic parameters are similar to those of all batteries in the cabinet as reference batteries for the batteries in the cabinet, and to acquire all charging parameters and charging efficiency parameters of each reference battery in the cabinet at each moment in the latest charging time period. The charging parameters include charging voltage parameters and charging current parameters.

[0016] The processing submodule is used to obtain all group pairings and all class of optimal reference charging parameters for each reference battery in the cabinet based on all types of charging parameters and charging efficiency parameters at all times during the latest charging period.

[0017] Preferably, the battery intelligent identification and dynamic charging system for the battery swapping cabinet includes a processing submodule comprising:

[0018] The plotting unit is used to take the charging current parameter values ​​of each reference battery in the latest charging time period as the horizontal axis value and the charging voltage parameter values ​​of the corresponding reference battery in the latest charging time period as the vertical axis value, so as to obtain all parameter points of each reference battery in the cabinet.

[0019] The first processing unit is used to take the value of the charging efficiency parameter at each parameter point of each reference battery in the cabinet at the corresponding time as the charging efficiency parameter value of the corresponding parameter point of the corresponding reference battery in the cabinet, and take the parameter point with the largest charging efficiency parameter value among all parameter points of each reference battery in the cabinet as the best reference point of each reference battery in the cabinet, and take the charging current parameter and charging voltage parameter corresponding to the best reference point of each reference battery in the cabinet as the best charging current parameter and best charging voltage parameter of the corresponding reference battery in the cabinet, respectively, and take the best charging current parameter and best charging voltage parameter of each reference battery in the cabinet as the best reference charging parameter of all classes of the corresponding reference battery in the cabinet.

[0020] The second processing unit is used to obtain all group pairing points of each reference cell of the battery in the cabinet based on the optimal reference point of each reference cell.

[0021] Preferably, the battery intelligent identification and dynamic charging system for the battery swapping cabinet includes a second processing unit, comprising:

[0022] The first processing subunit is used to connect and extend the coordinate origin with the best reference point of each reference battery in the cabinet to obtain the pairing line of the corresponding reference battery in the cabinet, and take the distance from each parameter point of each reference battery in the cabinet to the pairing line of the corresponding reference battery in the cabinet as the pairing distance of the corresponding parameter point of the corresponding reference battery in the cabinet.

[0023] The second processing subunit is used to classify the parameter points above the pairing line of the corresponding reference battery in each reference battery as first-type parameter points of the corresponding reference battery, and the parameter points below the pairing line of the corresponding reference battery as second-type parameter points. The subunit sorts all first-type and second-type parameter points of each reference battery in the cabinet according to the pairing distance from smallest to largest, obtaining the sorting results of the first-type and second-type parameter points for each reference battery. Based on the sorting results of the first-type and second-type parameter points for each reference battery, the subunit obtains all pairs of pairing points for each reference battery.

[0024] Preferably, the battery intelligent identification and dynamic charging system for the battery swapping cabinet includes a computing module, comprising:

[0025] The first pre-calculation submodule is used to obtain all types of charging parameters and charging efficiency parameters of the battery in the cabinet at the current moment, where all types of charging parameters include charging voltage parameters and charging current parameters.

[0026] The second pre-calculation submodule is used to obtain all group comparison points of each reference battery in the cabinet at the current time based on all types of charging parameters and charging efficiency parameters of the battery in the cabinet at the current time.

[0027] The calculation submodule is used to obtain the charging effect promotion degree of all classes of optimal reference charging parameters of each reference battery in the cabinet at the current time, based on all group comparison points and all group pairing points of each reference battery in the cabinet at the current time.

[0028] Preferably, the second pre-calculation submodule of the battery intelligent identification and dynamic charging system for the battery swapping cabinet includes:

[0029] The first preparatory unit is used to take the value of the charging current parameter of the battery in the cabinet at the current moment as the horizontal axis value and the value of the charging voltage parameter of the battery in the cabinet at the current moment as the vertical axis value to obtain the positioning point of the battery in the cabinet at the current moment.

[0030] The second preparatory unit is used to rotate the corresponding reference battery's pairing line and all pairs of pairing points with the origin of the coordinates on the pairing line of each reference battery in the cabinet as a fixed rotation center, until the positioning point of the battery in the cabinet at the current moment is on the pairing line of the corresponding reference battery in the cabinet, and then stop rotating. The corresponding point of each reference battery's single pairing point after rotation is taken as a comparison point of the corresponding reference battery in the cabinet at the current moment, and the two comparison points corresponding to each pair of pairing points of each reference battery in the cabinet after rotation at the current moment are taken as a set of comparison points of the corresponding reference battery in the cabinet at the current moment.

[0031] Preferably, the matching module for the battery intelligent identification and dynamic charging system used in the battery swapping cabinet includes:

[0032] The matching submodule is used to obtain the dynamic adjustment matching value of each reference battery in the cabinet at the current moment based on the charging effect promotion degree of all classes of the best reference charging parameters of each reference battery in the cabinet at the current moment.

[0033] The first adjustment submodule is used to take the reference battery with the largest dynamic adjustment matching value among all the reference batteries in the cabinet at the current moment as the adjustment reference battery for the battery in the cabinet at the current moment.

[0034] The second adjustment submodule is used to obtain the optimal dynamic charging adjustment result of the battery in the cabinet at the current moment based on the adjustment reference battery of the battery in the cabinet at the current moment.

[0035] Preferably, the battery intelligent identification and dynamic charging system for the battery swapping cabinet includes a matching submodule, comprising:

[0036] The matching preparation unit is used to take the volume of a sphere with the radius of the charging effect promotion degree of the optimal charging current parameter of each reference battery in the cabinet at the current moment as the single adjustment value of the optimal charging current parameter of the corresponding reference battery in the cabinet at the current moment, and take the volume of a sphere with the radius of the charging effect promotion degree of the optimal charging voltage parameter of each reference battery in the cabinet at the current moment as the single adjustment value of the optimal charging voltage parameter of the corresponding reference battery in the cabinet at the current moment.

[0037] The matching calculation unit is used to take the sum of the individual adjustment values ​​of all class-optimal reference charging parameters of each reference battery in the cabinet at the current moment as the dynamic adjustment matching value of the corresponding reference battery in the cabinet at the current moment.

[0038] Preferably, the second adjustment submodule of the battery intelligent identification and dynamic charging system for the battery swapping cabinet includes:

[0039] The first adjustment unit is used to take the charging current parameters and charging voltage parameters corresponding to the optimal reference point of the battery in the cabinet at the current moment as the optimal charging current parameters and charging voltage parameters of the battery in the cabinet at the current moment.

[0040] The second adjustment unit is used to adjust the charging current parameter of the battery in the cabinet at the next moment from the current moment to be the same as the optimal charging current parameter of the battery in the cabinet at the current moment, and to adjust the charging voltage parameter of the battery in the cabinet at the next moment from the current moment to be the same as the optimal charging voltage parameter of the battery in the cabinet at the current moment, so as to obtain the optimal dynamic charging adjustment result of the battery in the cabinet at the current moment.

[0041] The beneficial effects of this invention compared to existing technologies are as follows: Based on the basic parameters of all types of batteries in the battery cabinet, all reference batteries are obtained, enabling the selection of batteries from all batteries in the battery swapping cabinet that are relevant to analyzing the optimal dynamic charging adjustment results of the battery cabinet at the current moment. Furthermore, based on the charging parameters and charging efficiency parameters of each reference battery in the latest charging time period, all pairing points and optimal reference charging parameters for each type of reference battery are obtained, facilitating the subsequent calculation of the charging effect promotion degree. Based on the charging parameters, charging efficiency parameters, and all pairing points and optimal reference charging parameters of each reference battery in the current moment, the charging effect promotion degree of the optimal reference charging parameters for each type of reference battery in the current moment is obtained, realizing the optimal charging parameters for each type of reference battery in the current moment. The reference charging parameters quantify the degree to which they promote the charging effect of the batteries in the cabinet at the current moment. Then, based on the degree to which all types of optimal reference charging parameters for each reference battery promote the charging effect at the current moment, a dynamic adjustment matching value is obtained for each reference battery. This quantifies the matching degree between all types of optimal reference charging parameters for each reference battery and the dynamic charging needs of the batteries in the cabinet during the dynamic adjustment process. Finally, based on the dynamic adjustment matching values ​​of all reference batteries in the cabinet at the current moment, the optimal dynamic charging adjustment result for the batteries in the cabinet is obtained. This allows for precise dynamic adjustment of all types of charging parameters at any moment during the charging period, accurately matching the charging needs of the batteries at any moment during the charging period, reducing unnecessary energy loss, improving charging efficiency, increasing the overall utilization rate of the battery swapping cabinet, and reducing operating costs.

[0042] 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 documents of this application.

[0043] 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

[0044] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0045] Figure 1 This is a schematic diagram of a battery intelligent identification and dynamic charging system for a battery swapping cabinet according to an embodiment of the present invention;

[0046] Figure 2 This is a schematic diagram of the intelligent recognition module in an embodiment of the present invention. Detailed Implementation

[0047] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0048] Example 1: This invention provides a battery intelligent identification and dynamic charging system for battery swapping cabinets, referencing... Figure 1 ,include:

[0049] The intelligent identification module is used to obtain the legality detection result of the battery in the cabinet based on the ID number of the battery in the cabinet, and to obtain the basic parameters of all types of batteries in the cabinet based on the legality detection result of the battery in the cabinet.

[0050] The processing module is used to obtain all reference batteries of the battery in the cabinet based on the basic parameters of all types of batteries in the cabinet, and to obtain all group pairings and all types of optimal reference charging parameters of each reference battery in the cabinet based on all types of charging parameters and charging efficiency parameters at each moment in the latest charging period.

[0051] The calculation module is used to obtain the charging effect promotion degree of each reference battery in the cabinet at the current moment based on all types of charging parameters, charging efficiency parameters of the battery in the cabinet at the current moment, and all group pairs and all types of best reference charging parameters of each reference battery in the cabinet.

[0052] The matching module is used to obtain the dynamic adjustment matching value of each reference battery in the cabinet at the current moment based on the charging effect promotion degree of all classes of the best reference charging parameters of each reference battery in the cabinet at the current moment, and to obtain the best dynamic charging adjustment result of the cabinet battery at the current moment based on the dynamic adjustment matching value of all reference batteries in the cabinet at the current moment.

[0053] In this embodiment, the battery being stored in the battery swapping cabinet is a battery that is being charged.

[0054] In this embodiment, the ID number is a number used to uniquely identify the battery, which is usually composed of numbers, letters, or a combination of both.

[0055] In this embodiment, the legality detection result of the battery placed in the cabinet is obtained based on the ID number of the battery placed in the cabinet to determine whether the battery is legal.

[0056] In this embodiment, all reference batteries for the battery in the cabinet are those batteries in the battery swapping cabinet that can be used as a reference for analyzing the optimal dynamic charging adjustment results of the battery in the cabinet at the current moment.

[0057] In this embodiment, the latest charging time period is the most recent complete charging time period for each reference battery in the battery cabinet.

[0058] In this embodiment, each moment is selected from the latest charging time period of each reference battery in the battery cabinet, and the time length between each adjacent moment is the same.

[0059] In this embodiment, the charging efficiency parameter at each moment is the ratio of the actual electrical energy stored by the battery at each moment during the charging process (the actual electrical energy stored at each moment is based on the actual electrical energy stored between each moment and the previous moment) to the input electrical energy (the input electrical energy at each moment is based on the input electrical energy between each moment and the previous moment), usually expressed as a percentage.

[0060] In this embodiment, all pairs of points for each reference battery are combinations of all types of charging parameters and charging efficiency parameters of each reference battery at each moment within the latest charging time period, which can be used to analyze the degree of promotion of charging effect.

[0061] In this embodiment, the optimal reference charging parameters for all classes are the optimal charging parameters for each reference battery in the cabinet during the latest charging time period.

[0062] In this embodiment, the charging effect promotion degree is a numerical value obtained based on all types of charging parameters and charging efficiency parameters of the battery in the cabinet at the current moment, and all group pairing points and all types of best reference charging parameters of each reference battery in the cabinet, which can characterize the degree of promotion of the charging effect of each type of best reference charging parameter of each reference battery in the cabinet on the charging effect of the battery in the cabinet at the current moment.

[0063] In this embodiment, the dynamic adjustment matching value is a numerical value obtained based on the degree of promotion of the charging effect of all types of optimal reference charging parameters of each reference battery in the cabinet at the current moment. It reflects the degree of matching between the optimal reference charging parameters of each reference battery and the dynamic charging needs of the cabinet battery during the dynamic adjustment of charging at the current moment.

[0064] In this embodiment, the optimal dynamic charging adjustment result of the battery in the cabinet at the current moment is obtained by adjusting the charging current parameter of the battery in the cabinet at the next moment to be the same as the optimal charging current parameter of the battery in the cabinet at the current moment, and adjusting the charging voltage parameter of the battery in the cabinet at the next moment to be the same as the optimal charging voltage parameter of the battery in the cabinet at the current moment.

[0065] The beneficial effects of the above technology are as follows: Based on the basic parameters of all types of batteries in the battery cabinet, all reference batteries are obtained, enabling the selection of batteries from all batteries in the battery swapping cabinet that can be used as a reference for analyzing the optimal dynamic charging adjustment results of the batteries in the cabinet at the current moment. Furthermore, based on all types of charging parameters and charging efficiency parameters of each reference battery in the latest charging time period, all pairing points and all types of optimal reference charging parameters of each reference battery in the battery cabinet are obtained, facilitating the subsequent calculation of the charging effect promotion degree. Based on all types of charging parameters, charging efficiency parameters, all pairing points, and all types of optimal reference charging parameters of each reference battery in the battery cabinet at the current moment, the charging effect promotion degree of all types of optimal reference charging parameters of each reference battery in the battery cabinet at the current moment is obtained, realizing the optimal reference charging degree of each type of optimal reference charging parameter of each reference battery in the battery cabinet. The parameters quantify the degree to which the charging effect of the battery in the cabinet is promoted at the current moment. Then, based on the degree of promotion of the charging effect of all types of optimal reference charging parameters of each reference battery in the cabinet at the current moment, the dynamic adjustment matching value of each reference battery in the cabinet at the current moment is obtained. This realizes the quantification of the matching degree between all types of optimal reference charging parameters of each reference battery and the dynamic charging demand of the battery in the cabinet during the dynamic adjustment process of the battery in the cabinet at the current moment. Finally, based on the dynamic adjustment matching value of all reference batteries in the cabinet at the current moment, the optimal dynamic charging adjustment result of the battery in the cabinet at the current moment is obtained. This allows for precise dynamic adjustment of all types of charging parameters of the battery in the cabinet at any moment during the charging period, accurately matching the charging demand of the battery in the cabinet at any moment during the charging period, reducing unnecessary energy loss, improving charging efficiency, increasing the overall utilization rate of the battery swapping cabinet, and reducing operating costs.

[0066] Example 2: Based on Example 1, a battery intelligent identification and dynamic charging system for a battery swapping cabinet, including an intelligent identification module, is described in reference. Figure 2 ,include:

[0067] The identification submodule is used to recognize the battery's legality as the result of the battery being placed in the cabinet when the ID number of the battery is matched with the preset ID number database.

[0068] The reading submodule is used to read all the basic parameters of the battery type when the legality test result of the battery in the cabinet is legal. The basic parameters of all battery types include the battery rated capacity and battery health status.

[0069] In this embodiment, the preset ID number database is a pre-set ID number database used to obtain the legality detection results of batteries placed in the cabinet.

[0070] In this embodiment, the rated capacity of the battery is the amount of electricity that the battery can continuously output under standard test conditions (such as specific discharge current, temperature, termination voltage, etc.), usually expressed in ampere-hours (Ah) or milliampere-hours (mAh).

[0071] In this embodiment, the battery health status is the ratio of the battery's current performance (capacity, internal resistance, peak power, etc.) to its initial performance (new battery state), which is used to quantify the battery's aging degree and remaining lifespan.

[0072] The beneficial effects of the above technology are as follows: Based on the ID number of the battery placed in the cabinet, the legality test result of the battery placed in the cabinet can be obtained, which makes it easier to read all the basic parameters of all types of batteries in the cabinet and clarifies the specific parameter items of all the basic parameters of all types of batteries in the cabinet.

[0073] Example 3: Based on Example 1, a battery intelligent identification and dynamic charging system for a battery swapping cabinet, comprising a processing module, including:

[0074] The acquisition submodule is used to take all batteries in the battery swapping cabinet whose basic parameters are similar to those of all batteries in the cabinet as reference batteries for the batteries in the cabinet, and to acquire all charging parameters and charging efficiency parameters of each reference battery in the cabinet at each moment in the latest charging time period. The charging parameters include charging voltage parameters and charging current parameters.

[0075] The processing submodule is used to obtain all group pairings and all class of optimal reference charging parameters for each reference battery in the cabinet based on all types of charging parameters and charging efficiency parameters at all times during the latest charging period.

[0076] In this embodiment, if the difference in the basic parameters of each type of battery between two batteries is less than a preset difference (a preset difference used to obtain the reference battery for the battery to be placed in the cabinet, and each type of battery basic parameter corresponds to a separate preset difference), then the basic parameters of the corresponding types of batteries are determined to be similar.

[0077] In this embodiment, the charging voltage parameter is the actual charging voltage output by the charger to the reference battery at each moment during the latest charging time period for each reference battery in the cabinet.

[0078] In this embodiment, the charging current parameter is the amount of current supplied by the charging device to each reference battery in the cabinet at each moment during the latest charging time period.

[0079] The beneficial effects of the above technology are as follows: Based on the basic parameters of all types of batteries in the battery cabinet, all reference batteries of the battery cabinet are obtained, and the selection of batteries from all batteries in the battery swapping cabinet that can be used as a reference for analyzing the optimal dynamic charging adjustment results of the battery cabinet at the current moment is realized. This facilitates the subsequent acquisition of all pairing points and all types of optimal reference charging parameters of each reference battery in the battery cabinet based on all types of charging parameters and charging efficiency parameters of each reference battery in the latest charging time period.

[0080] Example 4: Based on Example 3, the battery intelligent identification and dynamic charging system for the battery swapping cabinet includes a processing submodule, comprising:

[0081] The plotting unit is used to take the charging current parameter values ​​of each reference battery in the latest charging time period as the horizontal axis value and the charging voltage parameter values ​​of the corresponding reference battery in the latest charging time period as the vertical axis value, so as to obtain all parameter points of each reference battery in the cabinet.

[0082] The first processing unit is used to take the value of the charging efficiency parameter at each parameter point of each reference battery in the cabinet at the corresponding time as the charging efficiency parameter value of the corresponding parameter point of the corresponding reference battery in the cabinet, and take the parameter point with the largest charging efficiency parameter value among all parameter points of each reference battery in the cabinet as the best reference point of each reference battery in the cabinet, and take the charging current parameter and charging voltage parameter corresponding to the best reference point of each reference battery in the cabinet as the best charging current parameter and best charging voltage parameter of the corresponding reference battery in the cabinet, respectively, and take the best charging current parameter and best charging voltage parameter of each reference battery in the cabinet as the best reference charging parameter of all classes of the corresponding reference battery in the cabinet.

[0083] The second processing unit is used to obtain all group pairing points of each reference cell of the battery in the cabinet based on the optimal reference point of each reference cell.

[0084] The beneficial effects of the above technology are as follows: a specific method for determining all classes of optimal reference charging parameters for each reference cell in the battery cabinet is provided in detail, and all group pairing points of each reference cell in the battery cabinet are obtained based on the optimal reference point of each reference cell in the battery cabinet.

[0085] Example 5: Based on Example 4, the second processing unit of the battery intelligent identification and dynamic charging system for the battery swapping cabinet includes:

[0086] The first processing subunit is used to connect and extend the coordinate origin with the best reference point of each reference battery in the cabinet to obtain the pairing line of the corresponding reference battery in the cabinet, and take the distance from each parameter point of each reference battery in the cabinet to the pairing line of the corresponding reference battery in the cabinet as the pairing distance of the corresponding parameter point of the corresponding reference battery in the cabinet.

[0087] The second processing subunit is used to classify the parameter points above the pairing line of the corresponding reference battery in each reference battery as first-type parameter points of the corresponding reference battery, and the parameter points below the pairing line of the corresponding reference battery as second-type parameter points. The subunit sorts all first-type and second-type parameter points of each reference battery in the cabinet according to the pairing distance from smallest to largest, obtaining the sorting results of the first-type and second-type parameter points for each reference battery. Based on the sorting results of the first-type and second-type parameter points for each reference battery, the subunit obtains all pairs of pairing points for each reference battery.

[0088] In this embodiment, based on the sorting results of the first type of parameter points and the second type of parameter points for each reference battery in the cabinet, all group pairings of each reference battery in the cabinet are obtained, namely:

[0089] For each reference battery in the cabinet, the first-class parameter points with sorting results of 1 and 2 and the first-class parameter points with sorting results of 3 and 4 are respectively regarded as a pair of points for each reference battery in the cabinet. Similarly, the second-class parameter points with sorting results of 1 and 2 and the second-class parameter points with sorting results of 3 and 4 are respectively regarded as a pair of points for each reference battery in the cabinet.

[0090] The beneficial effects of the above technology are as follows: Based on the optimal reference point of each reference battery in the cabinet, the pairing distance of each parameter point of each reference battery in the cabinet is obtained, and then based on the pairing distance of each parameter point of each reference battery in the cabinet, all pairs of pairing points of each reference battery in the cabinet are obtained. A specific method for obtaining all pairs of pairing points of each reference battery in the cabinet based on the optimal reference point of each reference battery in the cabinet is given in detail.

[0091] Example 6: Based on Example 1, a battery intelligent identification and dynamic charging system for a battery swapping cabinet includes a calculation module, comprising:

[0092] The first pre-calculation submodule is used to obtain all types of charging parameters and charging efficiency parameters of the battery in the cabinet at the current moment, where all types of charging parameters include charging voltage parameters and charging current parameters.

[0093] The second pre-calculation submodule is used to obtain all group comparison points of each reference battery in the cabinet at the current time based on all types of charging parameters and charging efficiency parameters of the battery in the cabinet at the current time.

[0094] The calculation submodule is used to obtain the charging effect promotion degree of all classes of optimal reference charging parameters of each reference battery in the cabinet at the current time, based on all group comparison points and all group pairing points of each reference battery in the cabinet at the current time.

[0095] In this embodiment, based on all group comparison points and all group pairing points of each reference battery in the battery cabinet at the current moment, the charging effect promotion degree of each type of optimal reference charging parameter of each reference battery in the battery cabinet at the current moment is obtained, which is:

[0096] ;

[0097] Where β represents the degree of charging effect promotion of the currently calculated optimal reference charging parameters of the reference battery in the current calculation at the current moment, and b represents the currently calculated optimal reference charging parameters of the reference battery in the current calculation. The current calculated charging parameters of the battery in the cabinet at the current moment (the current calculated charging parameters and the current calculated best reference charging parameters are the same type of charging parameters). Let x be the mean of the x-coordinates of the i-th pair of points in the reference battery currently being used in the cabinet. This represents the mean x-coordinate of the i-th comparison point (determined by rotating the i-th pairing point) of the reference battery currently being compared with the battery in the cabinet at the current moment. Let be the mean of the ordinates of the i-th pair of points in the reference battery currently being calculated for the batteries placed in the cabinet. Let ln be the mean of the ordinates of the i-th comparison point (the i-th comparison point is determined by rotating the i-th pairing point) of the reference battery currently being compared with the battery in the cabinet at the current time, and let e be the natural logarithm, with a value of 2.718.

[0098] The beneficial effects of the above technology are as follows: Based on all types of charging parameters and charging efficiency parameters of the battery in the cabinet at the current moment, all comparison points of each reference battery in the cabinet at the current moment are obtained, thereby obtaining the degree of promotion of the charging effect of each type of optimal reference charging parameter of each reference battery in the cabinet at the current moment, realizing the quantification of the degree of promotion of the charging effect of each type of optimal reference charging parameter of each reference battery in the cabinet on the charging effect of the battery in the cabinet at the current moment.

[0099] Example 7: Based on Example 5 or 6, the second pre-calculation submodule of the battery intelligent identification and dynamic charging system for the battery swapping cabinet includes:

[0100] The first preparatory unit is used to take the value of the charging current parameter of the battery in the cabinet at the current moment as the horizontal axis value and the value of the charging voltage parameter of the battery in the cabinet at the current moment as the vertical axis value to obtain the positioning point of the battery in the cabinet at the current moment.

[0101] The second preparatory unit is used to rotate the corresponding reference battery's pairing line and all pairs of pairing points (the relative positions of all pairs of pairing points and the pairing line remain unchanged during the rotation) with the origin of the coordinates on the pairing line of each reference battery in the cabinet as a fixed rotation center (rotation angle not exceeding 90°) until the positioning point of the battery in the cabinet at the current moment is on the pairing line of the corresponding reference battery in the cabinet. The rotation stops when the positioning point of the battery in the cabinet at the current moment is on the pairing line of the corresponding reference battery in the cabinet. The corresponding point of each reference battery's single pairing point after rotation is taken as a comparison point of the corresponding reference battery in the cabinet at the current moment. The two comparison points corresponding to each pair of pairing points of each reference battery in the cabinet at the current moment after rotation are taken as a set of comparison points of the corresponding reference battery in the cabinet at the current moment.

[0102] The beneficial effects of the above technology are as follows: It provides a detailed method for obtaining all comparison points of each reference battery in the cabinet at the current moment based on all types of charging parameters and charging efficiency parameters of the battery in the cabinet at the current moment.

[0103] Example 8: Based on Example 1, a matching module for a battery intelligent identification and dynamic charging system for a battery swapping cabinet includes:

[0104] The matching submodule is used to obtain the dynamic adjustment matching value of each reference battery in the cabinet at the current moment based on the charging effect promotion degree of all classes of the best reference charging parameters of each reference battery in the cabinet at the current moment.

[0105] The first adjustment submodule is used to take the reference battery with the largest dynamic adjustment matching value among all the reference batteries in the cabinet at the current moment as the adjustment reference battery for the battery in the cabinet at the current moment.

[0106] The second adjustment submodule is used to obtain the optimal dynamic charging adjustment result of the battery in the cabinet at the current moment based on the adjustment reference battery of the battery in the cabinet at the current moment.

[0107] In this embodiment, the reference battery for adjusting the battery in the cabinet at the current moment is the reference battery required to achieve the best dynamic charging adjustment result for the battery in the cabinet at the current moment.

[0108] The beneficial effects of the above technology are as follows: based on the charging effect promotion degree of all types of optimal reference charging parameters of each reference battery in the cabinet at the current moment, the dynamic adjustment matching value of each reference battery in the cabinet at the current moment is obtained; then, based on the dynamic adjustment matching value of each reference battery in the cabinet at the current moment, the adjustment reference battery of the cabinet at the current moment is obtained; and finally, the optimal dynamic charging adjustment result of the cabinet battery at the current moment is obtained.

[0109] Example 9: Based on Example 8, the battery intelligent identification and dynamic charging system for the battery swapping cabinet includes a matching submodule, comprising:

[0110] The matching preparation unit is used to take the volume of a sphere with the radius of the charging effect promotion degree of the optimal charging current parameter of each reference battery in the cabinet at the current moment as the single adjustment value of the optimal charging current parameter of the corresponding reference battery in the cabinet at the current moment, and take the volume of a sphere with the radius of the charging effect promotion degree of the optimal charging voltage parameter of each reference battery in the cabinet at the current moment as the single adjustment value of the optimal charging voltage parameter of the corresponding reference battery in the cabinet at the current moment.

[0111] The matching calculation unit is used to take the sum of the individual adjustment values ​​of all class-optimal reference charging parameters of each reference battery in the cabinet at the current moment as the dynamic adjustment matching value of the corresponding reference battery in the cabinet at the current moment.

[0112] The beneficial effects of the above technology are as follows: based on the charging effect promotion degree of all types of optimal reference charging parameters of each reference battery in the cabinet at the current moment, the dynamic adjustment matching value of each reference battery in the cabinet at the current moment is obtained, thereby realizing the quantification of the matching degree between all types of optimal reference charging parameters of each reference battery and the dynamic charging requirements of the cabinet battery during the dynamic adjustment of charging of the cabinet battery at the current moment.

[0113] Example 10: Based on Example 4 or 8, the second adjustment submodule of the battery intelligent identification and dynamic charging system for the battery swapping cabinet includes:

[0114] The first adjustment unit is used to take the charging current parameters and charging voltage parameters corresponding to the optimal reference point of the battery in the cabinet at the current moment as the optimal charging current parameters and charging voltage parameters of the battery in the cabinet at the current moment.

[0115] The second adjustment unit is used to adjust the charging current parameter of the battery in the cabinet at the next moment from the current moment to be the same as the optimal charging current parameter of the battery in the cabinet at the current moment, and to adjust the charging voltage parameter of the battery in the cabinet at the next moment from the current moment to be the same as the optimal charging voltage parameter of the battery in the cabinet at the current moment, so as to obtain the optimal dynamic charging adjustment result of the battery in the cabinet at the current moment.

[0116] The beneficial effects of the above technologies are as follows: Based on the adjustment reference battery of the battery in the cabinet at the current moment, the optimal dynamic charging adjustment result of the battery in the cabinet at the current moment is obtained. All types of charging parameters of the battery in the cabinet are accurately and dynamically adjusted at any moment during the charging period, which precisely matches the charging needs of the battery in the cabinet at any moment during the charging period, reduces unnecessary energy loss, improves charging efficiency, improves the overall utilization rate of the battery swapping cabinet, and reduces operating costs.

[0117] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from the spirit and scope of the invention, and this invention is also intended to include these modifications and variations.

Claims

1. A battery intelligent identification and dynamic charging system for a battery swap cabinet, characterized in that, The application relates to an intelligent battery charging method and device. The intelligent identification module comprises: The identification submodule is used for taking the battery as the legality detection result of the battery in the cabinet when the ID number of the battery in the cabinet matches the preset ID number database. The reading submodule is used for reading all the battery basic parameters of the battery in the cabinet when the legality detection result of the battery in the cabinet is the battery. ; wherein β is the current calculated reference battery's current calculated class optimal reference charging parameter's current time's charging effect promotion degree of the battery into the cabinet, b is the current calculated reference battery's current calculated class optimal reference charging parameter of the battery into the cabinet, is the current calculated class charging parameter of the battery into the cabinet at the current time, and the current calculated class charging parameter and the current calculated class optimal reference charging parameter are the same class charging parameter, is the mean of the abscissa of the i-th group of paired points of the current calculated reference battery of the battery into the cabinet, is the mean of the abscissa of the i-th group of comparison points of the current calculated reference battery of the battery into the cabinet at the current time, the i-th group of comparison points being determined by the rotation of the i-th group of paired points, is the mean of the ordinate of the i-th group of paired points of the current calculated reference battery of the battery into the cabinet, is the mean of the ordinate of the i-th group of comparison points of the current calculated reference battery of the battery into the cabinet at the current time, ln is the natural logarithm, and the value of the natural constant e is 2.718; The processing module comprises: 2.The battery intelligent identification and dynamic charging system for battery swap cabinets according to claim 1, characterized in that, The processing submodule is used for obtaining all the group junction points and all the best reference charging parameters of each reference battery of the battery in the cabinet based on all the charging parameters and charging efficiency parameters of each reference battery of the battery in the cabinet at all time points in the latest charging period. The processing submodule comprises: The drawing unit is used for taking the value of the charging current parameter of each reference battery of the battery in the cabinet at all time points in the latest charging period as the abscissa value, taking the value of the charging voltage parameter of the corresponding reference battery of the battery in the cabinet at the corresponding time point in the latest charging period as the ordinate value, and obtaining all the parameter points of each reference battery of the battery in the cabinet. 3.The battery intelligent identification and dynamic charging system for battery swap cabinets according to claim 1, characterized in that, ​ ​ ​ 4.The battery intelligent identification and dynamic charging system for battery swap cabinets according to claim 3, characterized in that, ​ ​ The first processing unit is configured to: take a value of a charging efficiency parameter of each parameter point of each reference battery of the battery cabinet at a corresponding time as a value of the charging efficiency parameter of the corresponding parameter point of the corresponding reference battery of the battery cabinet, take a parameter point with the maximum charging efficiency parameter value among all the parameter points of each reference battery of the battery cabinet as an optimal reference point of each reference battery of the battery cabinet, and take a charging current parameter and a charging voltage parameter corresponding to the optimal reference point of each reference battery of the battery cabinet as an optimal charging current parameter and an optimal charging voltage parameter of the corresponding reference battery of the battery cabinet respectively, and take the optimal charging current parameter and the optimal charging voltage parameter of each reference battery of the battery cabinet as all the optimal reference charging parameters of the corresponding reference battery of the battery cabinet. The second processing unit is configured to: obtain all the group pairing points of each reference battery of the battery cabinet based on the optimal reference point of each reference battery of the battery cabinet. 5.The battery intelligent identification and dynamic charging system for battery swap cabinets according to claim 4, characterized in that, The second processing unit comprises: The first processing subunit is configured to: connect and extend the coordinate origin and the optimal reference point of each reference battery of the battery cabinet to obtain a pairing straight line of the corresponding reference battery of the battery cabinet, and take a distance from each parameter point of each reference battery of the battery cabinet to the pairing straight line of the corresponding reference battery of the battery cabinet as a pairing distance of the corresponding parameter point of the corresponding reference battery of the battery cabinet. The second processing subunit is configured to: take a parameter point above the pairing straight line of the corresponding reference battery of the battery cabinet among all the parameter points of each reference battery of the battery cabinet as a first-type parameter point of the corresponding reference battery of the battery cabinet, take a parameter point below the pairing straight line of the corresponding reference battery of the battery cabinet among all the parameter points of each reference battery of the battery cabinet as a second-type parameter point of the corresponding reference battery of the battery cabinet, sort all the first-type parameter points and all the second-type parameter points of each reference battery of the battery cabinet in a descending order of the pairing distance respectively to obtain a first-type parameter point sorting result and a second-type parameter point sorting result of each reference battery of the battery cabinet, and obtain all the group pairing points of each reference battery of the battery cabinet based on the first-type parameter point sorting result and the second-type parameter point sorting result of each reference battery of the battery cabinet. 6.The battery intelligent identification and dynamic charging system for battery swap cabinets of claim 1, wherein, The calculation module comprises: The first preliminary calculation sub-module is configured to: obtain all the charging parameters and the charging efficiency parameter of the battery cabinet at the current time, wherein the all the charging parameters comprise the charging voltage parameter and the charging current parameter. The second preliminary calculation sub-module is configured to: obtain all the group comparison points of each reference battery of the battery cabinet at the current time based on the all the charging parameters and the charging efficiency parameter of the battery cabinet at the current time. The calculation sub-module is configured to: obtain a charging effect promotion degree of all the optimal reference charging parameters of each reference battery of the battery cabinet at the current time based on the all the group comparison points of each reference battery of the battery cabinet at the current time and the all the group pairing points of each reference battery of the battery cabinet. 7.The battery intelligent identification and dynamic charging system for battery swap cabinets according to claim 5 or 6, characterized in that, The second preliminary calculation sub-module comprises: The first preparation unit is configured to take the value of the charging current parameter of the battery in the cabinet at the current time as the abscissa value, take the value of the charging voltage parameter of the battery in the cabinet at the current time as the ordinate value, and obtain the positioning point of the battery in the cabinet at the current time; The second preparation unit is configured to take the coordinate origin on the paired straight line of each reference battery of the battery in the cabinet as the fixed rotation center, rotate the paired straight line of the corresponding reference battery of the battery in the cabinet and all the group paired points, stop the rotation until the positioning point of the battery in the cabinet at the current time is on the paired straight line of the corresponding reference battery of the battery in the cabinet, take the corresponding point of the single paired point of each reference battery of the battery in the cabinet after the rotation as one comparison point of the corresponding reference battery of the battery in the cabinet at the current time, and take the corresponding two comparison points of each group of paired points of each reference battery of the battery in the cabinet at the current time after the rotation as one group of comparison points of the corresponding reference battery of the battery in the cabinet at the current time. 8.The battery intelligent identification and dynamic charging system for battery swap cabinets of claim 1, wherein, The matching module comprises: The matching submodule is configured to obtain the dynamic adjustment matching value of each reference battery of the battery in the cabinet at the current time based on the charging effect promotion degree of all the class-optimal reference charging parameters of each reference battery of the battery in the cabinet at the current time; The first adjustment submodule is configured to take the reference battery with the maximum dynamic adjustment matching value among all the reference batteries of the battery in the cabinet at the current time as the adjustment reference battery of the battery in the cabinet at the current time. The second adjustment submodule is configured to obtain the optimal dynamic charging adjustment result of the battery in the cabinet at the current time based on the adjustment reference battery of the battery in the cabinet at the current time. 9.The battery intelligent identification and dynamic charging system for battery swap cabinets of claim 8, wherein, The matching submodule comprises: The matching preparation unit is configured to take the spherical volume with the charging effect promotion degree of the optimal charging current parameter of each reference battery of the battery in the cabinet at the current time as the radius as the single-item adjustment value of the optimal charging current parameter of the corresponding reference battery of the battery in the cabinet at the current time, and take the spherical volume with the charging effect promotion degree of the optimal charging voltage parameter of each reference battery of the battery in the cabinet at the current time as the radius as the single-item adjustment value of the optimal charging voltage parameter of the corresponding reference battery of the battery in the cabinet at the current time; The matching calculation unit is configured to take the sum of the single-item adjustment values of all the class-optimal reference charging parameters of each reference battery of the battery in the cabinet at the current time as the dynamic adjustment matching value of the corresponding reference battery of the battery in the cabinet at the current time. 10.The battery intelligent identification and dynamic charging system for battery swap cabinets according to claim 4 or 8, characterized in that, The second adjustment submodule comprises: The first adjustment unit is configured to take the charging current parameter and the charging voltage parameter corresponding to the optimal reference point of the adjustment reference battery of the battery in the cabinet at the current time as the optimal charging current parameter and the optimal charging voltage parameter of the battery in the cabinet at the current time; The second adjustment unit is configured to adjust the charging current parameter of the battery in the cabinet at the next time of the current time to be the same as the optimal charging current parameter of the battery in the cabinet at the current time, and adjust the charging voltage parameter of the battery in the cabinet at the next time of the current time to be the same as the optimal charging voltage parameter of the battery in the cabinet at the current time, to obtain the optimal dynamic charging adjustment result of the battery in the cabinet at the current time.

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