An intelligent BMS management method for a lithium battery

Abstract

The present invention relates to the technical field of lithium batteries, and specifically relates to an intelligent BMS management method for lithium batteries, including: collecting the charging and discharging parameters of lithium batteries, constructing a database, and storing the collected charging and discharging parameters of lithium batteries; traversing the charging and discharging parameters of lithium batteries stored in the database, analyzing the changing trend of the charging and discharging states of lithium batteries, and generating a changing trend diagram of the charging and discharging states of lithium batteries; through the analysis of the historical charging and discharging parameters of lithium batteries, the present invention generates a changing trend diagram of the charging and discharging states of lithium batteries, providing visual monitoring and management conditions for the monitoring of the charging and discharging states of lithium batteries. At the same time, based on the further analysis of the charging and discharging parameters of lithium batteries, multi-party monitoring of the charging and discharging states of lithium batteries is carried out, and based on the monitoring results, recommendations for charging disconnection operations of lithium batteries are further provided, providing charging disconnection operation prompts for lithium battery users, making the overall charging process of lithium batteries healthier, and thereby maintaining the comprehensive lifespan of lithium batteries.

Description

Technical Field

[0001] The present invention relates to the technical field of lithium batteries, and particularly relates to an intelligent BMS management method for lithium batteries. Background Art

[0002] A lithium battery is a battery with a lithium metal or lithium alloy as the negative electrode material and a non-aqueous electrolyte solution. It has the advantages of high energy density, low self-discharge rate, long cycle life, and no memory effect, and is commonly used in fields such as electric vehicles, electronic devices, and energy storage systems.

[0003] Although lithium batteries have the advantage of no memory effect, frequent and irregular charging and discharging operations can cause a certain degree of harm to the life of lithium batteries.

[0004] Therefore, we propose an intelligent BMS management method for lithium batteries. Summary of the Invention

[0005] Aiming at the above-mentioned disadvantages of the prior art, the present invention provides an intelligent BMS management method for lithium batteries, which solves the technical problems proposed in the above background art.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions:

[0007] An intelligent BMS management method for lithium batteries includes:

[0008] Collecting lithium battery charge and discharge parameters, constructing a database, and storing the collected lithium battery charge and discharge parameters; traversing the lithium battery charge and discharge parameters stored in the database, analyzing the changing trend of the lithium battery charge and discharge state, and generating a graph of the changing trend of the lithium battery charge and discharge state; identifying the corresponding graph indicating the deterioration of the lithium battery charge and discharge state in the graph of the changing trend of the lithium battery charge and discharge state, and retrieving the lithium battery charge and discharge parameters to which the corresponding graph belongs from the database; feeding back the retrieved lithium battery charge and discharge parameters to the lithium battery user, and traversing the collection times marked for each group of retrieved lithium batteries, using the collection time corresponding to the earliest set of lithium battery charge and discharge parameters to re-mark all the retrieved lithium battery charge and discharge parameters, and analyzing the health risk of the lithium battery charge and discharge based on the re-marking; monitoring the lithium battery charging disconnection operation request, setting a recommended threshold for lithium battery charging operation disconnection, and comparing the analysis result of the lithium battery charge and discharge health risk with the recommended threshold for lithium battery charging operation disconnection, and feeding back the lithium battery charging disconnection operation recommendation to the lithium battery user.

[0009] Further, the lithium battery charge and discharge parameters include: charging voltage, charging current, discharging voltage, discharging current, capacity, self-discharge rate, number of charge and discharge cycles, charge and discharge time. When the database stores the collected lithium battery charge and discharge parameters, the lithium battery charge and discharge parameters are differentially marked based on the collection time of the lithium battery charge and discharge parameters;

[0010] Among them, the lithium battery charge and discharge parameters are collected based on the BMS.

[0011] Further, the operation of collecting the lithium battery charge and discharge parameters is continuously executed based on a specified period. The database synchronously stores the newly collected battery charge and discharge parameters. The operation of traversing the lithium battery charge and discharge parameters stored in the database is synchronously executed based on the operation of the database storing the newly collected lithium battery charge and discharge parameters, and the newly stored lithium battery charge and discharge parameters are traversed;

[0012] The expression form of the lithium battery charge and discharge state change trend chart is a line chart. The horizontal axis of the lithium battery charge and discharge state change trend chart represents time, and the vertical axis represents the analysis result of the lithium battery charge and discharge state change trend.

[0013] Further, the analysis logic of the lithium battery charge and discharge state change trend is expressed as:

[0014] ;

[0015] In the formula: is the lithium battery charge and discharge state change trend value; is the lithium battery charging efficiency; is the lithium battery discharging efficiency;

[0016] Among them, the lithium battery discharging efficiency does not include the self-discharge efficiency of the lithium battery in any state. The larger the lithium battery charge and discharge state change trend value , the better the lithium battery state. On the contrary, it means the worse the lithium battery state. Based on the above formula, the lithium battery charge and discharge state change trend value is calculated for each group of lithium battery charge and discharge parameters stored in the database, and the calculated groups of are sorted according to the collection time marked for each corresponding group of lithium battery charge and discharge parameters, and are fed back to be represented in the lithium battery charge and discharge state change trend chart.

[0017] Further, the lithium battery charging efficiency and the lithium battery discharging efficiency are calculated by the following formula:

[0018] ;

[0019] In the formula: is the charging current; is the charging time; is the Coulomb efficiency; is the rated capacity of the lithium battery; is the current voltage of the lithium battery; is the initial voltage of the lithium battery; is the nominal voltage of the lithium battery; is the discharge current; is the discharge time; is the voltage at the start of discharge; is the voltage at the end of discharge;

[0020] Among them, the charging current is the charging time is the average value of the currents at each timestamp during charging, and the discharge current is the discharge time is the average value of the currents at each timestamp during discharge.

[0021] Furthermore, the analysis result of the lithium battery charge and discharge state change trend represented in the lithium battery charge and discharge state change trend diagram is denoted as: , then identify the corresponding graph in the lithium battery charge and discharge state change trend diagram that represents the deterioration of the lithium battery charge and discharge state, that is in the case of the corresponding in the graph represented by the lithium battery charge and discharge state change trend diagram;

[0022] Among them, ∈ and is based on the continuous time sequence in .

[0023] Furthermore, when feedbacking the lithium battery charge and discharge parameters and the lithium battery charge and discharge monitoring risks retrieved to the lithium battery user, the feedback target is any internet-connected mobile computer device held by the lithium battery user, and the lithium battery charge and discharge health risk analysis logic is:

[0024] ;

[0025] In the formula: is the lithium battery charge and discharge health risk value; , , , ,... are the lithium battery charge and discharge state change trend values corresponding to the lithium battery charge and discharge parameters with repeated marks in the 1st group, 2nd group, 3rd group, 4th group,... in the lithium battery charge and discharge state change trend diagram is the acquisition time of the repeated mark;

[0026] Among them, the lithium battery charge and discharge health risk value The smaller it is, the healthier the charge and discharge state of the lithium battery is. Conversely, it indicates that the charge and discharge state of the lithium battery is less healthy.

[0027] Furthermore, when the lithium battery charging device is connected to the lithium battery and the power supply, the connection between the lithium battery charging device and the power supply is controlled by the BMS. The request for battery charging disconnection operation and monitoring are executed in the BMS. The recommended threshold for disconnecting the lithium battery charging operation is manually set by the system-end user.

[0028] Furthermore, based on the comparison between the analysis result of the charge and discharge health risk of the lithium battery and the recommended threshold for disconnecting the lithium battery charging operation, the operation of recommending the lithium battery charging disconnection operation is fed back to the lithium battery user, subject to:

[0029] ;

[0030] In the formula: is the recommended threshold for disconnecting the lithium battery charging operation;

[0031] Among them, When it holds, the request for disconnecting the lithium battery charging operation is agreed by the BMS. When it holds, the BMS feeds back the recommendation for disconnecting the lithium battery charging operation to the lithium battery user. The recommended content is: It is not recommended to disconnect the charging currently. When the lithium battery is fully charged, the BMS actively disconnects the connection between the lithium battery charging device and the power supply.

[0032] Adopting the technical solution provided by the present invention, compared with the known public technology, it has the following beneficial effects:

[0033] The present invention provides an intelligent BMS management method for a lithium battery. During the execution of its steps, by analyzing the historical charge and discharge parameters of the lithium battery, a change trend diagram of the charge and discharge state of the lithium battery is generated, providing visual monitoring and management conditions for monitoring the charge and discharge state of the lithium battery. At the same time, based on the further analysis of the charge and discharge parameters of the lithium battery, the charge and discharge state of the lithium battery is monitored in multiple ways, and based on the monitoring results, a recommendation for disconnecting the lithium battery charging operation is further provided, providing a charging disconnection operation prompt for the lithium battery user, making the overall charging process of the lithium battery healthier, and thus maintaining the comprehensive life of the lithium battery. Description of the Drawings

[0034] Figure 1 It is a schematic flowchart of an intelligent BMS management method for a lithium battery. Detailed Embodiments

[0035] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0036] The present invention will be further described below in conjunction with embodiments. Embodiment 1:

[0037] An intelligent BMS management method for a lithium battery in this embodiment is as Figure 1 shown and includes the following steps:

[0038] Step 1: Collect the charge and discharge parameters of the lithium battery, construct a database, and store the collected charge and discharge parameters of the lithium battery.

[0039] Step 2: Traverse the charge and discharge parameters of the lithium battery stored in the database, analyze the changing trend of the charge and discharge state of the lithium battery, and generate a changing trend diagram of the charge and discharge state of the lithium battery.

[0040] The analysis logic of the changing trend of the charge and discharge state of the lithium battery is expressed as:

[0041] ;

[0042] In the formula: is the changing trend value of the charge and discharge state of the lithium battery; is the charging efficiency of the lithium battery; is the discharging efficiency of the lithium battery;

[0043] Among them, the discharging efficiency of the lithium battery does not include the self-discharging efficiency in any state of the lithium battery. The larger the changing trend value of the charge and discharge state of the lithium battery, the better the state of the lithium battery. Conversely, it indicates that the state of the lithium battery is worse. Based on the above formula, the changing trend value of the charge and discharge state of the lithium battery is obtained for each set of charge and discharge parameters stored in the database. The obtained groups are sorted according to the collection time marked for each set of charge and discharge parameters of the lithium battery and fed back to be represented in the changing trend diagram of the charge and discharge state of the lithium battery.

[0044] The charging efficiency of the lithium battery and the discharging efficiency of the lithium battery are obtained through the following formula, and the formula is:

[0045] ;

[0046] In the formula: is the charging current; is the charging time; is the Coulomb efficiency; is the rated capacity of the lithium battery; is the current voltage of the lithium battery; is the initial voltage of the lithium battery; is the nominal voltage of the lithium battery; is the discharge current; is the discharge time; is the voltage at the start of discharge; is the voltage at the end of discharge;

[0047] Among them, the charging current is the average value of the currents at each timestamp during the charging time , and the discharge current is the average value of the currents at each timestamp during the discharge time ;

[0048] Step 3: Identify the corresponding graph indicating the deterioration of the lithium battery charge and discharge state in the lithium battery charge and discharge state change trend graph, and retrieve the lithium battery charge and discharge parameters belonging to the corresponding graph from the database;

[0049] Step 4: Feed back the retrieved lithium battery charge and discharge parameters to the lithium battery user, and traverse the acquisition times of the corresponding marks of each group of retrieved lithium batteries. Use the acquisition time of the lithium battery charge and discharge parameters corresponding to the earliest acquisition time to re-mark all the retrieved lithium battery charge and discharge parameters, and analyze the lithium battery charge and discharge health risks based on the re-marking;

[0050] When feeding back the retrieved lithium battery charge and discharge parameters and the lithium battery charge and discharge monitoring risks to the lithium battery user, the feedback target is any internet-connected mobile computer device held by the lithium battery user. The lithium battery charge and discharge health risk analysis logic is:

[0051] ;

[0052] In the formula: is the lithium battery charge and discharge health risk value; , , , ,... are the lithium battery charge and discharge state change trend values corresponding to the lithium battery charge and discharge parameters with repeated marks in the 1st group, 2nd group, 3rd group, 4th group,... in the lithium battery charge and discharge state change trend graph of the repeated mark acquisition time;

[0053] Among them, the smaller the lithium battery charge and discharge health risk value , the healthier the lithium battery charge and discharge state. Conversely, the unhealthier the lithium battery charge and discharge state;

[0054] Step 5: Monitor the lithium battery charging disconnection operation request, set the recommended threshold for lithium battery charging operation disconnection, compare the lithium battery charge and discharge health risk analysis results with the recommended threshold for lithium battery charging operation disconnection, and feedback the recommended lithium battery charging disconnection operation to the lithium battery user;

[0055] The operation of comparing the lithium battery charge and discharge health risk analysis results with the recommended threshold for lithium battery charging operation disconnection and then feedbacking the recommended lithium battery charging disconnection operation to the lithium battery user is subject to:

[0056] ;

[0057] In the formula: is the recommended threshold for lithium battery charging operation disconnection;

[0058] Among them, When it holds, the lithium battery charging disconnection operation request is approved by the BMS, When it holds, the BMS feedbacks the recommended lithium battery charging disconnection operation to the lithium battery user, and the recommended content is: It is not recommended to disconnect the charging currently. When the lithium battery is fully charged, the BMS actively disconnects the connection between the lithium battery charging device and the power supply.

[0059] In this embodiment, by executing the steps of the method in the above embodiment, the charge and discharge operations of the lithium battery can be further supervised based on the BMS, so that the charge and discharge operations of the lithium battery have less impact on the life of the lithium battery. When the lithium battery is applied to electronic devices or new energy vehicles, based on the above method, the endurance and life of the lithium battery are ensured, creating higher value for the application of the lithium battery. Embodiment 2:

[0060] At the specific implementation level, on the basis of Embodiment 1, this embodiment further specifically describes a smart BMS management method for a lithium battery in Embodiment 1 with reference to Figure 1 :

[0061] The lithium battery charge and discharge parameters include: charging voltage, charging current, discharging voltage, discharging current, capacity, self-discharge rate, number of charge and discharge cycles, and charge and discharge time. When the database stores the collected lithium battery charge and discharge parameters, the lithium battery charge and discharge parameters are marked differently based on the collection time of the lithium battery charge and discharge parameters;

[0062] Among them, the lithium battery charge and discharge parameters are collected based on the BMS.

[0063] Through the above settings, the types and sources of the lithium battery charge and discharge parameters collected by the method execution in Embodiment 1 are further defined.

[0064] Such as Figure 1As shown, the operation of collecting the charging and discharging parameters of the lithium battery is continuously executed based on a specified period. Database synchronization stores the newly collected battery charging and discharging parameters. The operation of traversing the lithium battery charging and discharging parameters stored in the database is synchronously executed based on the operation of storing the newly collected lithium battery charging and discharging parameters in the database, and traverses the newly stored lithium battery charging and discharging parameters.

[0065] The form of the lithium battery charging and discharging state change trend chart is a line chart. The horizontal axis of the lithium battery charging and discharging state change trend chart represents time, and the vertical axis represents the analysis result of the lithium battery charging and discharging state change trend.

[0066] Through the above settings, the collection logic of the lithium battery charging and discharging parameters and the corresponding logic configuration of the database when applied to the storage of the lithium battery charging and discharging parameters are further defined. Embodiment 3:

[0067] At the specific implementation level, based on Embodiment 1, this embodiment refers to Figure 1 to further specifically describe a smart BMS management method for a lithium battery in Embodiment 1:

[0068] The analysis result of the lithium battery charging and discharging state change trend shown in the lithium battery charging and discharging state change trend chart is denoted as: , then identify the corresponding graph in the lithium battery charging and discharging state change trend chart that represents the deterioration of the lithium battery charging and discharging state, that is, in the case of the corresponding in the graph represented by the lithium battery charging and discharging state change trend chart;

[0069] Among them, ∈ , and in is continuous based on the time sequence.

[0070] Through the above settings, it provides the necessary execution logic support for the execution of Step 3 of the method in Embodiment 1, ensures that the method in Embodiment 1 can stably identify the corresponding graph in the lithium battery charging and discharging state change trend chart that represents the deterioration of the lithium battery charging and discharging state, and provides the necessary data support for the execution of the subsequent steps in the method.

[0071] As Figure 1 shown, when the lithium battery charging device is connected to the lithium battery and the power supply, the BMS controls the connection between the lithium battery charging device and the power supply. The request for the battery charging disconnection operation and the monitoring are executed in the BMS. The recommended threshold for disconnecting the lithium battery charging operation is manually set by the system-end user.

[0072] Through the above settings, the application scenario of the method in Embodiment 1 and the control logic of the lithium battery supporting equipment when executing based on the method in Embodiment 1 are further defined.

[0073] In summary, during the execution of the steps of the method in the above embodiments, by analyzing the historical charge and discharge parameters of the lithium battery, a trend chart of the change in the charge and discharge state of the lithium battery is generated, providing a visual monitoring and management condition for the monitoring of the charge and discharge state of the lithium battery. At the same time, based on the further analysis of the charge and discharge parameters of the lithium battery, multi-party monitoring of the charge and discharge state of the lithium battery is carried out, and based on the monitoring results, a recommendation for disconnecting the charging of the lithium battery is further provided, providing a charging disconnection operation prompt for the lithium battery user, making the overall charging process of the lithium battery healthier, and thus maintaining the comprehensive life of the lithium battery.

[0074] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent BMS management method for a lithium battery, characterized in that, it includes the following steps: Step 1: Collect the charging and discharging parameters of the lithium battery, construct a database, and store the collected charging and discharging parameters of the lithium battery; Step 2: Traverse the charging and discharging parameters of the lithium battery stored in the database, analyze the changing trend of the charging and discharging state of the lithium battery, and generate a graph of the changing trend of the charging and discharging state of the lithium battery; Step 3: Identify the corresponding graph indicating the deterioration of the charging and discharging state of the lithium battery in the graph of the changing trend of the charging and discharging state of the lithium battery, and retrieve the charging and discharging parameters of the lithium battery to which the corresponding graph belongs from the database; Step 4: Feed back the retrieved charging and discharging parameters of the lithium battery to the lithium battery user, and traverse the collection time marked for each group of retrieved lithium batteries. Use the collection time corresponding to the earliest group of charging and discharging parameters of the lithium battery to mark all the retrieved charging and discharging parameters of the lithium battery repeatedly, and analyze the charging and discharging health risks of the lithium battery based on the repeated marking; Step 5: Monitor the lithium battery charging disconnection operation request, set a recommended threshold for lithium battery charging operation disconnection, compare the result of the lithium battery charging and discharging health risk analysis with the recommended threshold for lithium battery charging operation disconnection, and feed back the lithium battery charging disconnection operation recommendation to the lithium battery user; The analysis logic of the changing trend of the lithium battery charging and discharging state is expressed as: Where: γ is the change value of the charging and discharging state of the lithium battery; k in is the charging efficiency of lithium battery; k out is the discharge efficiency of lithium battery; Among them, the lithium battery discharge efficiency k out does not include the self-discharge efficiency of the lithium battery in any state. The larger the change trend value γ of the lithium battery charge and discharge state, the better the state of the lithium battery. On the contrary, it means the worse the state of the lithium battery. Based on the above formula, the change trend value γ of the lithium battery charge and discharge state is obtained for each set of lithium battery charge and discharge parameters stored in the database. The obtained groups of γ are sorted according to the acquisition time marked by each set of lithium battery charge and discharge parameters and fed back to the lithium battery charge and discharge state change trend diagram for representation; The charging efficiency and discharging efficiency of the lithium battery are obtained by the following formula: Where: A In is the charging current; tIn is the charging time; f is the Coulomb efficiency; M is the rated capacity of the lithium battery; V In is the current voltage of the lithium battery; V Start-In is the initial voltage of the lithium battery; V 0 is the nominal voltage of the lithium battery; A out is the discharge current; tout is the discharge time; V 1 is the voltage at the start of discharge; V 2 is the voltage at the end of discharge; Among them, the charging current A In is the average value of the currents at each timestamp during the charging time tIn, and the discharging current A out is the average value of the currents at each timestamp during the discharging time tout; The analysis result of the charging and discharging state change trend of the lithium battery represented in the charging and discharging state change trend diagram of the lithium battery is denoted as: γ 1 , γ 2 , γ 3 ,..., then when identifying the corresponding graph indicating the deterioration of the charging and discharging state of the lithium battery in the charging and discharging state change trend diagram of the lithium battery, that is, in the case of γx > γx+1 > γx+2 >..., the corresponding γx, γx+1, γx+2,... in γx > γx+1 > γx+2 >... are the graphs represented in the charging and discharging state change trend diagram of the lithium battery; Among them, γx, γx+1, γx+2,... ∈ γ 1 , γ 2 , γ 3 ,... and γx, γx+1, γx+2,... are sequential in γ 1 , γ 2 , γ 3 ,... based on time sequence.

2. An intelligent BMS management method for a lithium battery according to claim 1, characterized in that, the charging and discharging parameters of the lithium battery include: charging voltage, charging current, discharging voltage, discharging current, capacity, self-discharge rate, number of charge and discharge cycles, charge and discharge time. When the database stores the collected charging and discharging parameters of the lithium battery, the charging and discharging parameters of the lithium battery are marked differently based on the collection time of the charging and discharging parameters of the lithium battery; Among them, the charging and discharging parameters of the lithium battery are collected based on the BMS.

3. An intelligent BMS management method for a lithium battery according to claim 1, characterized in that, The operation of collecting the charging and discharging parameters of the lithium battery is continuously executed based on a specified period. The database synchronously stores the newly collected battery charging and discharging parameters. The operation of traversing the charging and discharging parameters of the lithium battery stored in the database is synchronously executed based on the operation of the database storing the newly collected charging and discharging parameters of the lithium battery, and the newly stored charging and discharging parameters of the lithium battery are traversed; The graph of the changing trend of the lithium battery charging and discharging state is in the form of a line graph. The horizontal axis of the graph of the changing trend of the lithium battery charging and discharging state represents time, and the vertical axis represents the analysis result of the changing trend of the lithium battery charging and discharging state.

4. An intelligent BMS management method for a lithium battery according to claim 1, characterized in that, When feeding back the retrieved charging and discharging parameters of the lithium battery and the lithium battery charging and discharging monitoring risks to the lithium battery user, the feedback target is any internet-connected mobile computer device held by the lithium battery user. The analysis logic of the lithium battery charging and discharging health risk is: Where: Q is the health risk value of lithium battery charge and discharge; T 1 , T 2 , T 3 , T 4 ,... are the acquisition times of the repeated marks corresponding to the lithium battery charge and discharge parameters and the lithium battery charge and discharge state change trend value γ in the first group, second group, third group, fourth group,... with repeated marks in the lithium battery charge and discharge state change trend diagram; Among them, the smaller the lithium battery charging and discharging health risk value Q, the healthier the charging and discharging state of the lithium battery. On the contrary, it means that the charging and discharging state of the lithium battery is less healthy.

5. An intelligent BMS management method for a lithium battery according to claim 1, It is characterized in that when the lithium battery charging device is connected to the lithium battery and the power supply, the connection between the lithium battery charging device and the power supply is controlled by the BMS, the request for disconnecting the battery charging operation and the monitoring are executed in the BMS, and the recommended threshold for disconnecting the lithium battery charging operation is manually set by the system-side user.

6. The intelligent BMS management method for a lithium battery according to claim 1, It is characterized in that Based on the comparison between the lithium battery charge and discharge health risk analysis result and the recommended threshold for disconnecting the lithium battery charging operation, the operation of recommending the lithium battery charging disconnection operation is fed back to the lithium battery user, subject to: Where: Q 0 is the recommended threshold for disconnecting the lithium battery charging operation; where Q ∈ Q 0 When it holds, the BMS agrees to the lithium battery charging disconnection operation request. When it holds, the BMS feeds back to the lithium battery user a recommendation for the lithium battery charging disconnection operation. The recommended content is: It is not recommended to disconnect the charging at present. When the lithium battery is fully charged, the BMS actively disconnects the connection between the lithium battery charging device and the power supply.

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