Battery replacement system and battery supply method thereof

Abstract

To provide a battery replacement system and a battery providing method thereof so as to effectively improve issues caused by improper selection of batteries.SOLUTION: A battery exchange system is configured to perform a battery providing method 80 that includes: a step S0 of receiving a request to exchange a target number of batteries; a step S1 of grouping a plurality of batteries in the battery exchange system based on the target number of batteries into a plurality of battery groups; a step S3 of calculating a plurality of scores for the plurality of battery groups based on a plurality of weights and a plurality of characteristic parameters; and a step S5 of selecting an optimal battery group with the optimal score among the plurality of battery groups to provide the target number of batteries based on the plurality of scores. In this way, issues caused by improper battery selection can be effectively improved.SELECTED DRAWING: Figure 8

Description

[Technical Field]

[0001] The present invention relates to battery management technology, and more particularly to management technology applicable to battery replacement systems and their battery supply methods. [Background technology]

[0002] Some electric vehicles (EVs) are powered by replaceable batteries, and it is common for users to exchange undercharged batteries for fully charged ones at battery swapping stations. Battery characteristics can affect the performance of devices that use batteries as a power source and the overall system of the vehicle. For example, current EVs often use multiple batteries to power their systems, taking into account performance and range. Inappropriate battery selection at battery swapping stations can lead to reduced energy efficiency, shortened battery life, inconvenient battery handling, and other negative experiences, potentially causing EV malfunctions and endangering users. [Overview of the project] [Problems that the invention aims to solve]

[0003] The object of the present invention is to provide a battery replacement system and a battery supply method therefor, in order to effectively improve problems caused by the inappropriate selection of batteries. [Means for solving the problem]

[0004] To achieve the above objective, one aspect of the present invention provides a battery replacement system comprising a control component, a power component, a sensing component, an interface component, and a plurality of slots, wherein the control component is electrically connected to the power component, the sensing component, and the interface component, the interface component is electrically connected to the power component, one or more batteries are housed in each of the plurality of slots, the interface component receives a request to replace a target number of batteries, the control component groups the plurality of batteries in the plurality of slots based on a target number to form a plurality of battery groups, the control component calculates a plurality of scores for the plurality of battery groups based on a plurality of weight coefficients and a plurality of feature parameters, and the control component selects the optimal battery group having the optimal score from the plurality of battery groups based on the plurality of scores to supply the target number of batteries.

[0005] To achieve the above objective, one aspect of the present invention provides a battery supply method for a battery exchange system, comprising the steps of: receiving a request to replace a target number of batteries; dividing a plurality of batteries in a battery exchange system into a plurality of battery groups based on the target number; calculating a plurality of scores for the plurality of battery groups based on a plurality of weight coefficients and a plurality of feature parameters; and selecting the optimal battery group having the optimal score from among the plurality of battery groups based on the plurality of scores in order to supply the target number of batteries. [Effects of the Invention]

[0006] A battery replacement system and a battery supply method thereof according to the present invention divide a plurality of batteries in the battery replacement system into a plurality of battery groups based on a target number, calculate a plurality of scores for the plurality of battery groups based on a plurality of weighting factors and a plurality of characteristic parameters, and select an optimal battery group having an optimal score from among the plurality of battery groups based on the plurality of scores to supply a target number of batteries. Accordingly, by easily selecting an appropriate battery group while comprehensively considering various states of batteries, a target number of batteries can be supplied. Compared with successively selecting different batteries one after another, supplying batteries based on the selected battery group can effectively ameliorate adverse effects on batteries, such as poor user experience, reduced energy efficiency, shortened battery life, and inconvenient battery handling. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] [Figure 1] Figure 1 is a schematic external view of a battery replacement system according to an embodiment of the present invention. [Figure 2] Figure 2 is a system block diagram of a battery replacement system according to an embodiment of the present invention. [Figure 3] Figure 3 is a schematic diagram of battery grouping according to an embodiment of the present invention. [Figure 4] Figure 4 is a schematic diagram of sorting battery groups according to an embodiment of the present invention. [Figure 5] Figure 5 is a schematic diagram of selecting batteries with different characteristic parameters according to an embodiment of the present invention. [Figure 6] Figure 6 is a schematic diagram of selecting batteries with different characteristic parameters according to another embodiment of the present invention. [Figure 7] Figure 7 is a schematic diagram of selecting batteries with different characteristic parameters according to still another embodiment of the present invention. [Figure 8] Figure 8 is a flowchart of a battery supply method for a battery replacement system according to an embodiment of the present invention. DESCRIPTION OF EMBODIMENTS

[0008] To make the above and other objectives, features, and advantages of the present invention clearer and easier to understand, preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0009] Figure 1 shows a battery replacement system 10 that can be applied to supply batteries to electric vehicles, home appliances, industrial equipment, etc. For example, as shown in Figure 1, the battery replacement system 10 includes nine battery replacement slots (indexed 0 to 8).

[0010] As shown in the embodiment of Figure 2, the battery replacement system 20 includes a control component 21, a power component 22, a sensing component 23, an interface component 24, a plurality of slots 25, and an emergency power supply 26, wherein the control component 21 is electrically connected to the power component 22, the sensing component 23, the interface component 24, the slots 25, and the emergency power supply 26, and the power component 22 is electrically connected to the sensing component 23, the interface component 24, the slots 25 and / or the emergency power supply 26, and each slot 25 can accommodate one or more batteries B, and the slots 25 may further include members with suction or stopper functions for controlling to lock or unlock the batteries B in the slots 25 based on signals transmitted from the control component 21.

[0011] As shown in the embodiment of Figure 2, the control component 21 includes a controller, processor, internal memory, and hard disk, and the controller, processor, internal memory, and hard disk can work together to perform the operations necessary for the battery replacement process according to a predetermined logic or program. For example, the processor is electrically connected to the controller, internal memory, and hard disk, the controller controls the electronic modules in the power component 22, sensing component 23, and interface component 24, the hard disk stores program code and / or related data, the internal memory stores dynamic data and / or static data, and the processor of the control component 21 executes instructions to perform an embodiment of the method of the present invention. In other embodiments, the desired functions can also be implemented using modules appropriate to the battery replacement system 20 based on a different design concept. For example, an embodiment of the method of the present invention can be performed by an application-specific integrated circuit (ASIC) consisting of an internal logic circuit (such as a state machine) that performs the corresponding functions of the instructions described above.

[0012] As shown in the embodiment of Figure 2, the power component 22 includes relays, chargers, power modules, and circuit breakers, which are electrically connected in an appropriate manner to convert AC power from commercial power to DC power or to supply DC power to batteries B. For example, the power component 22 is electrically connected to a control component 21 and an interface component 24, and the control component 21 is configured to control the power component 22 to charge at least one of the multiple batteries B in slot 25.

[0013] The sensing component 23 is for detecting at least one physical quantity, and for example, the sensing component 23 includes one or more sensors for detecting information such as temperature, water level, image, smoke, and fire, and may transmit the measured information to the control component 21 by wire and / or wirelessly, so that the control component 21 can perform a corresponding control flow based on the different information or supply battery-related information. For example, a temperature sensor is used to detect battery temperature information, and the control component 21 uses the battery temperature information to determine whether individual batteries are usable so that users do not acquire batteries that may overheat due to charging or failure. A water level sensor is for supplying water level detection data so that the control component 21 can determine whether a certain location of the device is submerged in water. An image sensor detects images of the surroundings or operation of the device for use by the control component 21 for safety monitoring purposes. A smoke sensor supplies smoke detection data so that the control component 21 can determine whether the environment in which the device is located is in a fire-producing state. A fire sensor supplies fire detection data so that the control component 21 can determine whether the environment in which the device is located is in a fire-producing state.

[0014] The interface component 24 is electrically connected to the control component 21 and the power component 22 and may include modules such as a touchscreen, keyboard, audio / video input / output device, and audio / light pointing device for sending and receiving information necessary for the user to perform the battery replacement process. For example, the interactive interface touchscreen can display battery information and be used by the user to select different options; the audio / light pointing device can assist the user in replacing the battery; the audio / video input device can be used to receive user commands; the audio / video output device can be used to supply system-related information to the user; and the emergency power supply 26 can pre-store power to supply DC power to the battery replacement system 20 and / or battery B in the event of a power outage.

[0015] The battery exchange system 30 in the embodiment shown in Figure 3 has nine slots. In this embodiment, the user of the electric vehicle needs to exchange two batteries from the battery exchange system 30, and the battery exchange system 30 is a battery group TIFF0007923850000001.tif55 (wherein n is the total number of batteries in the battery replacement system 30, and m is the target number of battery replacement requests) can be supplied in whole or in part. For example, if there are batteries in all nine slots of the battery replacement system 30, then n is equal to 9, the number of batteries to be replaced m is equal to 2, and the battery group combinations that can be supplied by the battery replacement system 30 are 36 sets of dual battery indices: (0,1), (0,2), (0,3), (0,4), (0,5), (0,6), (0,7), (0,8), (1 These can be represented as (2), (1,3), (1,4), (1,5), (1,6), (1,7), (1,8), (2,3), (2,4), (2,5), (2,6), (2,7), (2,8), (3,4), (3,5), (3,6), (3,7), (3,8), (4,5), (4,6), (4,7), (4,8), (5,6), (5,7), (5,8), (6,7), (6,8), and (7,8).

[0016] As shown in Figure 3, the battery replacement system 30 can further sort all available battery groups based on conditions such as battery characteristic parameters and weighting coefficients to select the optimal candidate set. The battery replacement system 30 can select three battery characteristic parameters from "battery status," "battery type," "battery location," "electrical quantity characteristics (charge status)," and "battery health" as comparison criteria. Furthermore, each battery characteristic parameter may be a numerical value, a code, or a data format derived therefrom, associated with a weighting coefficient. In this embodiment, the battery status is used to indicate whether the batteries in this battery group are replaceable. The battery type is used to indicate whether the batteries in this battery group are of the same type (e.g., version). The battery location is used to indicate the numerical distance between multiple batteries in this battery group; for example, the coordinate index of the batteries in this group is calculated to determine whether the distance between batteries in this group is relatively small. The electrical quantity characteristics are used to indicate the charge status of the batteries in this battery group; for example, the difference or average value of the charge status of the batteries in this group is relatively large or small. Battery health is used to indicate the health status of the batteries within this battery group. For example, two parameters (e.g., a percentage) representing the degree of health of the batteries within this battery group are calculated to determine whether the batteries within this group are in good health or not.

[0017] In the example shown in Figure 3, the battery exchange system 30 can sort 36 battery groups based on the above-mentioned characteristic parameters and related weight coefficients, and an example of sorting is shown in Figure 4. The battery exchange system 30 produces sorting results, which are (2,3), (6,7), (0,7), (2,5), (0,5), (0,6), (0,7), (0,8), (1,2), etc., with (2,3) being the most desirable battery group to sort. The battery exchange system 30 can display battery group (2,3) as a replaceable battery group for the user on the interface component 24.

[0018] In the embodiment shown in Figure 5, referring to Figures 2 and 3, the battery exchange system 30 includes nine slots 25, and the battery exchange system 30 measures the batteries B in the slots 25 using modules such as a sensing component 23 to obtain characteristic parameters of the batteries, and a control component 21 selects one optimal battery group (containing two batteries) from four battery groups using five characteristic parameters. In this embodiment, the weight coefficients associated with the five characteristic parameters, "battery state," "battery type," "battery location," "electrical quantity characteristics," and "battery health," are set to 0.5, 0.25, 0.08, 0.09, and 0.08, respectively, and the sum of the weight coefficients is set to 1. The battery group index of the first battery group is (0,7), and the numerical values ​​of the five characteristic parameters, such as battery state, battery type, battery location (distance of the battery within the battery exchange system), electrical quantity characteristics, and battery health, are 1, 1, 0.1, 0.5, and 0.7, respectively. The battery group index for the second battery group is (2,3), and the values ​​for the five characteristic parameters—battery state, battery type, battery location, electrical characteristics, and battery health—are 1, 1, 1, 1, and 0.8, respectively. The battery group index for the third battery group is (2,5), and the values ​​for the five characteristic parameters—battery state, battery type, battery location, electrical characteristics, and battery health—are 0, 0, 0.8, 0.8, and 0.8, respectively. The battery group index for the fourth battery group is (6,7), and the values ​​for the five characteristic parameters—battery state, battery type, battery location, electrical characteristics, and battery health—are 1, 1, 1, 0.75, and 1, respectively. The control component 21 can generate four scores based on the calculation result by adding the product of the characteristic parameters of four battery groups with the associated weight coefficients. For example, the calculation result can be rounded to the third decimal place to obtain the score. For instance, the score for the first set of characteristic parameters is 0.859, the score for the second set of characteristic parameters is 0.984, the score for the third set of characteristic parameters is 0.2, and the score for the fourth set of characteristic parameters is 0.978.The control component 21 sorts the four scores in descending order. For example, as a sorting result, the score of the second group of characteristic parameters is 0.984, the score of the fourth group of characteristic parameters is 0.978, the score of the first group of characteristic parameters is 0.859, and the score of the third group of characteristic parameters is 0.2. Since the score of the second group of characteristic parameters is the highest, the second battery group is determined as the battery group with the optimal score in this example. In other embodiments, the battery replacement system 30 can use an appropriate algorithm to directly select the battery group with the optimal score without sorting the battery groups (for example, bubble sort). In other embodiments, the battery replacement system 30 can also use other appropriate algorithms to select a battery group, for example, the battery replacement system 30 selects one or more battery groups with scores higher than a preset score.

[0019] In some embodiments, the target number of battery replacement requests is equal to 2 (it may be a number greater than or equal to 2, and 2 is taken as an example herein), and the formula for the control component 21 to calculate the score of the battery group based on five weighting factors is: S N =A N *W1 N +B N *W2 N +C N *W3 N +D N *W4 N +E N *W5 N . (wherein, S N is the score of the N-th battery group, and N is a positive integer. A N is a battery state parameter of the N-th battery group, and the battery state parameter indicates whether two batteries in the N-th battery group can be replaced. B N is a battery type parameter of the N-th battery group, and the battery type parameter indicates whether two batteries in the N-th battery group are of the same battery type. C ND is the charge parameter of the Nth battery group, and the charge parameter indicates the difference in the charge state of two batteries in the Nth battery group. N This is the battery health parameter for the Nth battery group, and the battery health parameter indicates the difference in battery health between two batteries in the Nth battery group. N is the battery position parameter of the Nth battery group, and the battery position parameter indicates the distance between two batteries in the Nth battery group. In one embodiment, W1 N is 0.5, W2 N is 0.25, W3 N is 0.09, W4 N is 0.08, W5 N (This is equal to 0.08.) This allows for battery selection based on weighting coefficients of features related to the battery's availability, version type, relative position, electrical characteristics, and health, enabling the selection of batteries using many battery features. This improves situations such as reduced energy efficiency, short battery life, and inconvenient battery handling, effectively mitigating the poor user experience and negative impact on the battery.

[0020] In one embodiment, if there are two or more battery groups with the same highest score, the battery replacement system 30 can randomly select one of the multiple groups with the highest score to supply to the user.

[0021] The battery replacement system 30 can also select battery groups with the same score using other appropriate algorithms. In other embodiments, if there are two or more battery groups with the same highest score, the battery replacement system 30 can compare battery characteristic parameters such as "electrical quantity characteristics," "battery health," and "battery location" in that order until only one battery group can be determined to be the optimal battery group. For example, the control component 21 of the battery replacement system 30 first calculates the total electrical quantity (e.g., expressed as a percentage) of the batteries in each of the two or more battery groups with the same score, and determines the battery group with the largest total electrical quantity characteristics among the two or more battery groups with the same score to be the optimal battery group. If the total electrical quantity of two or more battery groups is equal, the control component 21 further calculates the total battery health (e.g., expressed as a percentage) of the battery groups with equal total electrical quantity characteristics, and determines the battery group with the largest total battery health among the battery groups with equal total electrical quantity characteristics to be the optimal battery group. If the sum of the battery health in two or more battery groups is equal, the control component 21 further calculates the difference in the coordinate indices of the battery locations in the battery groups with equal sums of battery health, and determines the battery group with the smallest difference in the coordinate indices of the battery locations (shortest interval sum) in the battery groups with equal sums of battery health as the optimal battery group. In other embodiments, the order in which battery characteristic parameters such as electrical quantity characteristics, battery health, and battery location are compared can be changed based on different design concepts.

[0022] In the embodiment shown in Figure 6, referring to Figures 2 and 3, the battery replacement system 30 includes nine slots, and the battery replacement system 30 measures the battery B in slot 25 using modules such as the sensing component 23 to obtain battery characteristic parameters, and the control component 21 selects two batteries from four battery groups using four characteristic parameters. In this embodiment, the weight coefficients associated with the four characteristic parameters, "battery state," "battery type," "electrical quantity characteristics," and "battery health," are set to 0.5, 0.25, 0.15, and 0.1, respectively, and the sum of the weight coefficients is 1. The battery group index for the first battery group is (0,7), and the numerical values ​​of the four characteristic parameters, battery state, battery type, electrical quantity characteristics, and battery health, are 1, 1, 0.5, and 0.7, respectively. The battery group index for the second battery group is (2,3), and the numerical values ​​of the four characteristic parameters, battery state, battery type, electrical quantity characteristics, and battery health, are 1, 1, 1, and 0.8, respectively. The battery group index for the third battery group is (2,5), and the values ​​of the four characteristic parameters—battery state, battery type, electrical quantity characteristics, and battery health—are 0, 0, 0.8, and 0.8, respectively. The battery group index for the fourth battery group is (6,7), and the values ​​of the four characteristic parameters—battery state, battery type, electrical quantity characteristics, and battery health—are 1, 1, 0.75, and 1, respectively. Subsequently, the control component 21 can generate four scores for the four battery groups based on the calculation results by adding the products of the four sets of battery characteristic parameters with the associated weight coefficients. For example, the score for the first set of characteristic parameters is 0.895, the score for the second set of characteristic parameters is 0.98, the score for the third set of characteristic parameters is 0.2, and the score for the fourth set of characteristic parameters is 0.9625. Subsequently, the control component 21 further sorts the four scores in descending order. For example, as a result of sorting, the score for the second set of feature parameters is 0.98, the score for the fourth set of feature parameters is 0.9625, the score for the first set of feature parameters is 0.895, and the score for the third set of feature parameters is 0.2.Therefore, the control component 21 selects the second battery group with the highest score as the optimally scored battery group in this example. In other embodiments, without requiring a sorting process, the battery replacement system can further select and supply the optimally scored battery group as the optimal battery group to the user.

[0023] In some embodiments, the target number of battery replacement requests is equal to 2 (it may be a number greater than or equal to 2, but here we will use 2 as an example), and the formula by which the control component 21 calculates the score for each of the multiple battery groups based on four weighting coefficients is: S N =A N *W1 N +B N *W2 N +C N *W3 N +D N *W4 N That is the case. (In the formula, S N This is the score for the Nth battery group out of several battery groups, where N is a positive integer. N This is the battery state parameter for the Nth battery group, and the battery state parameter indicates whether two of the batteries in the Nth battery group are replaceable. N This is the battery type parameter for the Nth battery group, and the battery type parameter indicates whether two batteries in the Nth battery group have the same battery type. N D is the charge parameter of the Nth battery group, and the charge parameter indicates the difference in the charge state of two batteries in the Nth battery group. N This is the battery health parameter for the Nth battery group, and the battery health parameter indicates the difference in battery health between two batteries in the Nth battery group. In one embodiment, W1 N is 0.5, W2 N is 0.25, W3 N is 0.15, W4 N(This is equal to 0.1.) This allows for battery selection based on weighting coefficients of features related to the battery's availability status, version type, electrical characteristics, and health, enabling the selection of a battery using appropriate battery features, thereby improving situations such as reduced energy efficiency and short battery life, and effectively mitigating the negative user experience and adverse effects on the battery.

[0024] As shown in Figure 6, if the highest scores are the same in two or more battery groups, the battery replacement system can randomly select the battery group containing the optimal score. In the above embodiment, the control component 21 considers the highest score as the optimal score, while in other embodiments, the control component 21 may consider a lower score or a score close to the target value as the optimal score.

[0025] The battery swapping system can perform other sorting processes comparing "electrical quantity characteristics" and "battery health" in this order until only one battery group is determined to be the optimal battery group. For example, the system can first calculate the sum of the electrical quantities of two batteries (e.g., expressed as a percentage) for two or more battery groups, and then determine the battery group with the highest sum of electrical quantity characteristics among the two or more battery groups as the optimal battery group. If the sum of the electrical quantities of two batteries in two or more battery groups is equal, the system can further calculate the sum of the battery health (e.g., expressed as a percentage) of two batteries in the two or more battery groups, and determine the battery group with the largest sum of one or more battery health among the two or more battery groups as the optimal battery group. In other embodiments, the order in which characteristic parameters such as electrical quantity characteristics and battery health are compared can be changed based on different design concepts.

[0026] In some embodiments, the control component 21 of the battery replacement system is further configured to cause the processor to execute instructions to perform the following steps: in response to two or more battery groups having the same highest score, select a battery group from which two batteries have the highest total charge score in order to supply a target number of batteries; and in response to two or more battery groups having the same total maximum charge score, select a battery group from which two batteries have the highest total battery health score in order to supply a target number of batteries. This allows for the selection of more appropriate battery groups based on conditions such as charge state and health, compared to a random selection method, when the scores are the same.

[0027] The embodiment shown in Figure 7, with reference to Figures 2 and 3, is a battery exchange system 30 that includes nine slots 25 and selects two batteries from four battery groups using three characteristic parameters. In this embodiment, the weight coefficients associated with the three characteristic parameters, "battery state," "battery type," and "electrical quantity characteristics," are set to 0.5, 0.25, and 0.25, respectively, and the sum of the weight coefficients is set to 1. The battery group index of the first battery group is (0,7), and the numerical values ​​of the three characteristic parameters, battery state, battery type, and electrical quantity characteristics, are 1, 1, and 0.6, respectively. The battery group index of the second battery group is (2,3), and the numerical values ​​of the three characteristic parameters, battery state, battery type, and electrical quantity characteristics, are 1, 1, and 0.8, respectively. The battery group index of the third battery group is (2,5), and the numerical values ​​of the three characteristic parameters, battery state, battery type, and electrical quantity characteristics, are 1, 0, and 0.8, respectively. The battery group index for the fourth battery group is (6,7), and the values ​​of the three feature parameters—battery state, battery type, and electrical quantity characteristics—are 0, 0, and 0.75, respectively. Then, the products of the four sets of feature parameters and their associated weight coefficients are added together to generate four scores based on the calculation results. For example, the score for the first set of feature parameters is 0.9, the second set is 0.95, the third set is 0.95, and the fourth set is 0.1875. Next, the four scores are sorted in descending order. For example, the sorted result is 0.95 for the second set of feature parameters, 0.95 for the third set, 0.95 for the first set, and 0.1875 for the fourth set. Finally, since the scores for the second and third sets of feature parameters are the highest, one of the second or third battery groups is selected, and in this example, the battery group with the best score is determined. In another embodiment, the battery replacement system can select and supply to the user the battery group with the optimal score.

[0028] In some embodiments, the target number of battery replacement requests is equal to 2 (it may be a number greater than or equal to 2, but here we will use 2 as an example), and the formula by which the control component 21 calculates the score for each of the multiple battery groups based on three weighting coefficients is: S N =A N *W1 N +B N *W2 N +C N *W3 N That is the case. (In the formula, S N This is the score for the Nth battery group out of several battery groups, where N is a positive integer. N This is the battery state parameter for the Nth battery group, and the battery state parameter indicates whether two of the batteries in the Nth battery group are replaceable. N This is the battery type parameter for the Nth battery group, and the battery type parameter indicates whether two batteries in the Nth battery group have the same battery type. N is the electrical quantity parameter of the Nth battery group, and the electrical quantity parameter indicates the difference in the charge state of two batteries within the Nth battery group. This allows for battery selection based on weighting coefficients of features related to the battery's borrowing status, version type, and electrical quantity characteristics, enabling battery selection using fewer battery features, improving situations such as reduced energy efficiency, and effectively mitigating a poor user experience and adverse effects on batteries.

[0029] As shown in Figure 7, the highest scores of the two sets are the same (i.e., in this example, the scores of the second and third battery groups are both 0.95), and in one embodiment, the battery replacement system can randomly select either the second or third battery group as the battery group with the optimal score.

[0030] The battery swapping system can perform other sorting processes comparing "electrical quantity characteristics" until only one of the second and third battery groups is determined to be the optimal battery group. For example, the sum of the electrical quantity characteristics of the two batteries in the second battery group (e.g., expressed as a percentage), which is 184 (=94+90), is greater than the sum of the electrical quantities of the two batteries in the third battery group, which is 180 (=92+88). Finally, the second battery group is determined to be the battery group with the best score.

[0031] In some embodiments, the control component of the battery replacement system is further configured to cause the processor to execute an instruction in response to two or more battery groups having the same highest score, in order to select from the battery groups having the same highest score the battery group whose two batteries have the highest total charge score in order to supply a target number of batteries. This allows for the selection of a more appropriate battery group based on charge state than a random selection method when the scores are the same.

[0032] Figure 8 shows an embodiment of the battery supply method 80 of the battery replacement system 30, referring to Figures 2 and 3. In step S0, the battery supply method 80 is as follows: the battery replacement system 30 receives a battery replacement request via the interface component 24, and the target number of the battery replacement request may be a system default value or a target number (for example, at least two) input by the user received by the interface component 24. In step S1, the control component 21 groups the batteries B in the slot 25 based on the target number, for example, based on the number of all or some batteries n and the target number m in the slot 25. TIFF0007923850000002.tif55 The battery is divided into combinations of 5 battery groups, each combination containing a target number of batteries. In step S3, the control component 21 scores the battery groups based on battery characteristic parameters and corresponding weight coefficients, for example, calculating the score for each combination based on multiple battery characteristic parameters and associated weight coefficients. In step S5, a battery group is selected based on the scoring results, for example, the control component 21 selects the battery group with the optimal score from the multiple battery groups based on the scores.

[0033] A high value for the feature parameter "Battery Status" indicates that all batteries in the battery group are replaceable. A high value for the feature parameter "Battery Type" indicates that all batteries in the battery group are of the same type (version). The feature parameter "Battery Location (Distance between Batteries)" indicates that the distance between battery groups in the battery replacement system is relatively large or relatively small. A high value for the feature parameter "Electrical Quantity Characteristics" indicates that the average electrical quantity characteristics of the battery group are high, and the differences in electrical quantity characteristics (e.g., standard deviation) between batteries are relatively small. A high value for the feature parameter "Battery Health" indicates that the battery health within the battery group is relatively high.

[0034] The characteristic parameter "Battery Status" can be determined based on "Battery Authentication," "Battery and Slot Status," "Battery Voltage," and "Battery Replacement System Status." For example, "Battery Authentication" indicates whether the battery is an authenticated battery or not. "Battery and Slot Status" indicates whether there are errors in the battery and slots. "Battery Voltage" indicates whether the battery voltage is greater than the default threshold. "Battery Replacement System Status" indicates whether there are any errors in the battery replacement system related to the replacement operation.

[0035] The characteristic parameter "Battery Status" can be further determined based on one or more of the following: "Battery Health," "Battery Life," "Battery Temperature and Time," and "Incorrect Safety Action Marks." For example, "Battery Health" indicates whether the battery health is greater than a preset threshold. "Battery Life" indicates whether the battery has expired. "Battery Temperature and Time" indicates whether the battery temperature is between a high and low temperature threshold, and whether the return time is longer than a preset threshold. "Incorrect Safety Action Marks" indicates whether there are error marks with a logical value of "TRUE."

[0036] Feature parameters may be binary values ​​(e.g., 0 or 1) to indicate the binary status of all batteries in a battery group, such as whether they are replaceable or of a different type (version). In other examples, each feature parameter may be a value ranging between 0 and 1 to indicate the degree of a particular feature between two batteries in a battery group, such as physical distance, difference in charge, or a normalized value of a healthy state. In other examples, feature parameters may be other appropriate positive or negative values.

[0037] The battery exchange system and battery supply method of the above embodiment of the present invention divides multiple batteries in the battery exchange system into multiple battery groups based on a target number, calculates multiple scores for the multiple battery groups based on multiple weight coefficients and multiple characteristic parameters, and selects the optimal battery group with the optimal score from among the multiple battery groups based on the multiple scores in order to supply the target number of batteries. By doing so, the target number of batteries can be supplied by easily selecting an appropriate battery group by comprehensively considering the various conditions of the batteries, and by supplying batteries based on the selected battery group rather than selecting different batteries one after another, adverse effects on batteries such as a poor user experience, reduced energy efficiency, shortened battery life, and inconvenience in handling batteries can be effectively improved.

[0038] Although the present invention has been disclosed by preferred embodiments, those skilled in the art can make various modifications and alterations without departing from the spirit and scope of the invention, so the scope of protection of the present invention shall be as defined in the appended claims. [Explanation of Symbols]

[0039] 10, 20, 30 Battery Replacement System 21 Control Components 22 Power Components 23 detection components 24 Interface Components 25 slots 26 Emergency power supply 80. Battery supply method S0, S1, S3, S5 steps B Battery

Claims

1. A method for supplying batteries to a battery replacement system, The steps include receiving a request to replace a target number of batteries, A step of dividing the batteries in the battery exchange system into multiple battery groups based on the aforementioned target number, A step of calculating multiple scores for the multiple battery groups based on multiple weight coefficients and multiple feature parameters, The step of selecting the optimal battery group having the optimal score from among the plurality of battery groups in order to supply the target number of batteries based on the plurality of scores, The aforementioned multiple weighting coefficients include three weighting coefficients, and the formula for calculating the score of each of the aforementioned multiple battery groups is: S Ｎ = A Ｎ *W1 Ｎ +B Ｎ *W2 Ｎ +C Ｎ *W3 Ｎ And, In the formula, S Ｎ This is the score of the Nth battery group among the aforementioned multiple battery groups, where N is a positive integer. A Ｎ is a battery state parameter of the N-th battery group, and the battery state parameter indicates whether a plurality of batteries in the N-th battery group can be replaced, B Ｎ This is the battery type parameter for the N battery group, and this battery type parameter indicates whether the plurality of batteries in the N battery group have the same battery type. C Ｎ This is an electrical quantity parameter of the aforementioned N battery group, and this electrical quantity parameter indicates the difference in the charge state of the plurality of batteries in the aforementioned N battery group. A method for supplying batteries to a battery replacement system.

2. If two or more of the aforementioned battery groups have the same highest score, the further step includes selecting the battery group with the highest charge state from among the battery groups having the same highest score. A method for supplying batteries to a battery replacement system according to claim 1.

3. A method for supplying batteries to a battery replacement system, The steps include receiving a request to replace a target number of batteries, A step of dividing the batteries in the battery exchange system into multiple battery groups based on the aforementioned target number, A step of calculating multiple scores for the multiple battery groups based on multiple weight coefficients and multiple feature parameters, The step of selecting the optimal battery group having the optimal score from among the plurality of battery groups in order to supply the target number of batteries based on the plurality of scores, The aforementioned multiple weighting coefficients include four weighting coefficients, and the formula for calculating the score of each of the aforementioned multiple battery groups is: S Ｎ = A Ｎ *W1 Ｎ +B Ｎ *W2 Ｎ +C Ｎ *W3 Ｎ +D Ｎ *W4 Ｎ And, In the formula, S Ｎ This is the score of the Nth battery group among the aforementioned multiple battery groups, where N is a positive integer. A Ｎ This is a battery state parameter for the N battery group, and this battery state parameter indicates whether multiple batteries in the N battery group are replaceable or not. B Ｎ This is the battery type parameter for the N battery group, and this battery type parameter indicates whether the plurality of batteries in the N battery group have the same battery type. C Ｎ This is an electrical quantity parameter of the aforementioned battery group N, and this electrical quantity parameter indicates the difference in the charge state of the plurality of batteries in the aforementioned battery group N. D Ｎ This is the battery health parameter for the aforementioned N battery group, and the battery health parameter indicates the difference in battery health among the multiple batteries in the aforementioned N battery group. A method for supplying batteries to a battery replacement system.

4. If two or more of the aforementioned battery groups have the same highest score, the step of selecting the battery group with the highest charge state from among the battery groups having the same highest score, If two or more of the aforementioned battery groups have the same maximum charge state, the step of selecting the battery group having the highest battery health among the multiple battery groups is further included. A method for supplying batteries to a battery replacement system according to claim 3.

5. A method for supplying batteries to a battery replacement system, The steps include receiving a request to replace a target number of batteries, A step of dividing the batteries in the battery exchange system into multiple battery groups based on the aforementioned target number, A step of calculating multiple scores for the multiple battery groups based on multiple weight coefficients and multiple feature parameters, The step of selecting the optimal battery group having the optimal score from among the plurality of battery groups in order to supply the target number of batteries based on the plurality of scores, The aforementioned multiple weighting coefficients include five weighting coefficients, and the formula for calculating the score of each of the aforementioned multiple battery groups is: S Ｎ = A Ｎ *W1 Ｎ +B Ｎ *W2 Ｎ +C Ｎ *W3 Ｎ +D Ｎ *W4 Ｎ +E Ｎ *W5 Ｎ And, In the formula, S Ｎ This is the score of the Nth battery group among the aforementioned multiple battery groups, where N is a positive integer. A Ｎ This is a battery state parameter for the N battery group, and this battery state parameter indicates whether multiple batteries in the N battery group are replaceable or not. B Ｎ This is the battery type parameter for the N battery group, and this battery type parameter indicates whether the plurality of batteries in the N battery group have the same battery type. C Ｎ This is an electrical quantity parameter of the aforementioned battery group N, and this electrical quantity parameter indicates the difference in the charge state of the plurality of batteries in the aforementioned battery group N. D Ｎ This is the battery health parameter for the aforementioned N battery group, and the battery health parameter indicates the difference in battery health among the multiple batteries in the aforementioned N battery group. E Ｎ This is a battery position parameter for the N battery group, and the battery position parameter indicates the spacing between the plurality of batteries in the N battery group. A method for supplying batteries to a battery replacement system.

6. If two or more of the aforementioned battery groups have the same highest score, the step of selecting the battery group with the highest charge state from among the battery groups having the same highest score, If two or more of the aforementioned battery groups have the same maximum charge state, the step is to select the battery group that has the highest battery health among the multiple batteries. If two or more of the aforementioned battery groups have the same highest health level, the step of selecting the battery group that has the shortest interval sum of batteries is further included. A method for supplying batteries to a battery replacement system according to claim 5.

7. A battery replacement system including control components, power components, sensing components, interface components and multiple slots, The control component is electrically connected to the power component, the detection component, and the interface component. The interface component is electrically connected to the power component, and one or more batteries are housed in each of the multiple slots. The interface component receives a request to replace a target number of batteries. The control component divides the multiple batteries in the multiple slots into multiple battery groups based on the target number. The control component calculates multiple scores for the multiple battery groups based on multiple weight coefficients and multiple feature parameters, In order to supply the target number of batteries, the control component selects the optimal battery group having the optimal score from among the plurality of battery groups based on the plurality of scores, The aforementioned multiple weighting coefficients include three weighting coefficients, and the formula for calculating the score of each of the aforementioned multiple battery groups is: S Ｎ = A Ｎ *W1 Ｎ +B Ｎ *W2 Ｎ +C Ｎ *W3 Ｎ And, In the formula, S Ｎ This is the score of the Nth battery group among the aforementioned multiple battery groups, where N is a positive integer. A Ｎ This is a battery state parameter for the N battery group, and this battery state parameter indicates whether multiple batteries in the N battery group are replaceable or not. B Ｎ This is the battery type parameter for the N battery group, and this battery type parameter indicates whether two batteries in the N battery group have the same battery type. C Ｎ This is an electrical quantity parameter of the aforementioned N battery group, and this electrical quantity parameter indicates the difference in the charge state of the plurality of batteries in the aforementioned N battery group. Battery replacement system.

8. The aforementioned control component further, If two or more of the aforementioned battery groups have the same highest score, the following steps are taken to cause the processor to execute an instruction to select the battery group with the highest charge state from among the battery groups having the same highest score: The battery replacement system according to claim 7.

9. A battery replacement system including control components, power components, sensing components, interface components and multiple slots, The control component is electrically connected to the power component, the detection component, and the interface component. The interface component is electrically connected to the power component, and one or more batteries are housed in each of the multiple slots. The interface component receives a request to replace a target number of batteries. The control component divides the multiple batteries in the multiple slots into multiple battery groups based on the target number. The control component calculates multiple scores for the multiple battery groups based on multiple weight coefficients and multiple feature parameters, In order to supply the target number of batteries, the control component selects the optimal battery group having the optimal score from among the plurality of battery groups based on the plurality of scores, The aforementioned multiple weighting coefficients include four weighting coefficients, and the formula for calculating the score of each of the aforementioned multiple battery groups is: S Ｎ = A Ｎ *W1 Ｎ +B Ｎ *W2 Ｎ +C Ｎ *W3 Ｎ +D Ｎ *W4 Ｎ And, In the formula, S Ｎ This is the score of the Nth battery group among the aforementioned multiple battery groups, where N is a positive integer. A Ｎ This is a battery state parameter for the N battery group, and this battery state parameter indicates whether multiple batteries in the N battery group are replaceable or not. B Ｎ This is the battery type parameter for the N battery group, and this battery type parameter indicates whether the plurality of batteries in the N battery group have the same battery type. C Ｎ This is an electrical quantity parameter of the aforementioned battery group N, and this electrical quantity parameter indicates the difference in the charge state of the plurality of batteries in the aforementioned battery group N. D Ｎ This is the battery health parameter for the aforementioned N battery group, and the battery health parameter indicates the difference in battery health among the multiple batteries in the aforementioned N battery group. Battery replacement system.

10. The aforementioned control component further, If two or more of the aforementioned battery groups have the same highest score, the step of selecting the battery group with the highest charge state from among the battery groups having the same highest score, If two or more of the aforementioned battery groups have the same maximum charge state, the battery group is selected to have the highest battery health. To perform this step, the instructions are arranged to cause the processor to execute an instruction. The battery replacement system according to claim 9.

11. A battery replacement system including control components, power components, sensing components, interface components and multiple slots, The control component is electrically connected to the power component, the detection component, and the interface component. The interface component is electrically connected to the power component, and one or more batteries are housed in each of the multiple slots. The interface component receives a request to replace a target number of batteries. The control component divides the multiple batteries in the multiple slots into multiple battery groups based on the target number. The control component calculates multiple scores for the multiple battery groups based on multiple weight coefficients and multiple feature parameters, In order to supply the target number of batteries, the control component selects the optimal battery group having the optimal score from among the plurality of battery groups based on the plurality of scores, The aforementioned multiple weighting coefficients include five weighting coefficients, and the formula for calculating the score of each of the aforementioned multiple battery groups is: S Ｎ = A Ｎ *W1 Ｎ +B Ｎ *W2 Ｎ +C Ｎ *W3 Ｎ +D Ｎ *W4 Ｎ +E Ｎ *W5 Ｎ And, In the formula, S Ｎ This is the score of the Nth battery group among the aforementioned multiple battery groups, where N is a positive integer. A Ｎ This is a battery state parameter for the N battery group, and this battery state parameter indicates whether multiple batteries in the N battery group are replaceable or not. B Ｎ This is the battery type parameter for the N battery group, and this battery type parameter indicates whether the plurality of batteries in the N battery group have the same battery type. C Ｎ This is an electrical quantity parameter of the aforementioned battery group N, and this electrical quantity parameter indicates the difference in the charge state of the plurality of batteries in the aforementioned battery group N. D Ｎ This is the battery health parameter for the aforementioned N battery group, and the battery health parameter indicates the difference in battery health among the multiple batteries in the aforementioned N battery group. E Ｎ This is a battery position parameter for the N battery group, and the battery position parameter indicates the spacing between the plurality of batteries in the N battery group. Battery replacement system.

12. The aforementioned control component further, If two or more of the aforementioned battery groups have the same highest score, the step of selecting the battery group with the highest charge state from among the battery groups having the same highest score, If two or more of the aforementioned battery groups have the same maximum charge state, the step is to select the battery group that has the highest battery health among the multiple batteries. If two or more of the aforementioned battery groups have the same highest health level, the steps include selecting the battery group that has the shortest interval sum of batteries, and arranging to cause the processor to execute instructions in order to perform this step. The battery replacement system according to claim 11.

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