A DC panel battery life cycle prediction system

Abstract

The present invention belongs to the technical field of battery detection. The present invention provides a DC panel battery life cycle prediction system, comprising: a charging monitoring module, a data analysis module, an aging judgment module and a battery evaluation module. During a monitoring period, the charging data of the DC panel battery is obtained, and the theoretical remaining life of the number of charging times and the theoretical remaining life of the charging time are obtained by performing data analysis on the charging data; the two are analyzed and data processed to obtain the theoretical remaining life, so as to realize the prediction of the DC panel battery life cycle; the theoretical remaining life of the DC panel battery is obtained, analyzed and the aging of the DC panel battery is judged; based on a health signal, the life data of the DC panel battery is obtained, and the quality of the DC panel battery is evaluated by processing and analyzing the life data, so as to facilitate subsequent key monitoring thereof and more efficiently prevent safety hazards such as performance degradation and system damage caused by battery aging.

Description

Technical Field

[0001] The invention belongs to the technical field of battery detection, in particular to a DC panel battery life cycle prediction system. Background Art

[0002] As an important energy storage device in the power system, the stability of the performance and the length of its service life are directly related to the safe and stable operation of the power system. However, in actual applications, the performance of the battery will gradually decline with the increase of usage time until it cannot meet the system requirements and needs to be replaced. Therefore, accurately predicting the life cycle of the DC panel battery so as to replace and maintain it in time is the key to ensure the stable operation of the power system.

[0003] A Chinese patent application with publication number CN103607025B discloses a DC power supply system for full life cycle management of batteries, which relates to the field of battery detection technology. The power supply has at least one battery and a high-frequency module connected to the battery; the high-frequency module includes an EMI circuit, a power factor correction circuit connected to the EMI circuit, a controller, a first DC / DC converter and a second DC / DC converter respectively connected to the power factor correction circuit, the first DC / DC converter outputs a DC 12V connected to the battery, and the second DC / DC converter outputs a DC 110V or 220V connected to the output wire through the circuit breaker QF1 to power external devices; a discharge resistor R1 is connected in parallel to the output line through a switch K2; the EMI circuit in each high-frequency module is connected to the external AC power through a switch K1, and multiple high-frequency modules are connected through a communication flow line. Advantages: Realize the management of the full life cycle of the battery and improve the service life of the battery.

[0004] In the prior art, the traditional method of predicting the life cycle of DC panel batteries has the disadvantages of limited scope of application, lack of real-time performance, and waste of resources. It is impossible to accurately predict the life cycle of DC panel batteries, and it is impossible to judge the aging condition and battery quality of DC panel batteries to more effectively prevent performance degradation, system damage and other safety hazards caused by battery aging.

[0005] To this end, the present invention provides a DC panel battery life cycle prediction system. Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: a DC panel battery life cycle prediction system, comprising:

[0008] Charging monitoring module: During the monitoring period, the charging data of the DC panel battery is obtained, wherein the charging data includes the number of charging times and the charging time of the DC panel battery. By analyzing the charging data, the theoretical remaining life of the charging times and the theoretical remaining life of the charging time are obtained;

[0009] Data analysis module: obtains charging theory data, wherein the charging theory data includes the theoretical remaining life of the charging times and the theoretical remaining life of the charging duration, analyzes and processes the charging theory data, and obtains the theoretical remaining life;

[0010] Aging judgment module: obtain the theoretical remaining life of the DC panel battery, analyze it, and judge the aging of the DC panel battery;

[0011] Battery evaluation module: Based on the health signal, the life data of the DC panel battery is obtained, where the life data includes the actual usage time and theoretical remaining life of the DC panel battery. The quality of the DC panel battery is evaluated by processing and analyzing the life data.

[0012] As a further technical solution of the present invention: the specific method of obtaining the theoretical remaining life of the charging times is:

[0013] Based on the obtained charge number uniform signal:

[0014] Get the duration of the monitoring cycle, marked as YC; get the number of charging times within the monitoring cycle, marked as CL;

[0015] By formula The theoretical service life XS of charging times is calculated, where S1 represents the threshold of the number of charging times that the DC panel battery can withstand;

[0016] The theoretical service life XS obtained by the number of charging times is subtracted from the actual usage time of the DC panel battery to obtain the theoretical remaining service life of the DC panel battery, which is marked as YS.

[0017] As a further technical solution of the present invention: the specific method of obtaining the charging number uniformity signal is:

[0018] The monitoring period is evenly divided into several time periods, the number of times the DC panel battery is charged in each time period within the monitoring period is obtained, and the variance is calculated to obtain the variance of the number of times;

[0019] Compare the frequency variance with the frequency variance threshold;

[0020] If the number variance is less than the number variance threshold, it means that the fluctuation of the charging times in different time periods is small, and a uniform charging times signal is generated.

[0021] As a further technical solution of the present invention: the specific method for obtaining the theoretical remaining life of the charging time is:

[0022] Based on the obtained charging time average signal:

[0023] Get the total charging time during the monitoring period, marked as CT;

[0024] By formula The theoretical service life XT of the charging time is calculated, where S2 represents the threshold value of the charging time that the DC panel battery can withstand;

[0025] The theoretical service life XT of the charging time obtained is subtracted from the actual usage time of the DC panel battery to obtain the theoretical remaining service life of the DC panel battery, which is marked as YT.

[0026] As a further technical solution of the present invention: the specific method of obtaining the charging duration uniform signal is:

[0027] Obtain the charging time of the DC panel battery in each time period within the monitoring cycle, and perform variance calculation on it to obtain the time variance;

[0028] comparing the duration variance to a duration variance threshold;

[0029] If the duration variance is less than the duration variance threshold, it means that the fluctuation of charging duration in different time periods is small, and a uniform charging duration signal is generated.

[0030] As a further technical solution of the present invention: the specific method of obtaining the theoretical remaining life is:

[0031] Based on the low deviation signal, the theoretical remaining life of the charging times YS and the theoretical remaining life of the charging time YT are averaged to obtain the theoretical remaining life, which is marked as ST.

[0032] Based on the high deviation signal, the theoretical remaining life of the charging times YS and the theoretical remaining life of the charging time YT are processed, and the formula is used The theoretical remaining life ST is obtained, where a1 and a2 are both preset proportional coefficients.

[0033] As a further technical solution of the present invention: the specific method of obtaining the low deviation signal and the high deviation signal is:

[0034] Compare and analyze the obtained theoretical deviation value with the theoretical deviation threshold:

[0035] If the theoretical deviation value is less than the theoretical deviation threshold, it means that the deviation between the theoretical remaining life of the charging times and the theoretical remaining life of the charging time is small, and a low deviation signal is generated;

[0036] If the theoretical deviation value is greater than or equal to the theoretical deviation threshold, it means that the deviation between the theoretical remaining life of the charging times and the theoretical remaining life of the charging time is large, and a high deviation signal is generated.

[0037] As a further technical solution of the present invention: the specific method of obtaining the theoretical deviation value is:

[0038] Obtain the theoretical remaining life YS of the number of charging times and the theoretical remaining life YT of the charging time, make a difference between the two, and take the absolute value of the difference to obtain the theoretical deviation value.

[0039] As a further technical solution of the present invention: the specific method of judging the aging condition of the DC panel battery is:

[0040] Obtain the theoretical remaining life ST of the DC panel battery and compare it with the theoretical remaining life threshold;

[0041] If the theoretical remaining life span ST is greater than the theoretical remaining life span threshold, a health signal is generated;

[0042] If the theoretical remaining lifespan ST is less than or equal to the theoretical remaining lifespan threshold, an aging signal is generated.

[0043] As a further technical solution of the present invention: the specific method of quality assessment of the DC panel battery is:

[0044] The actual usage time and theoretical remaining life of the DC panel battery that generates the health signal are obtained, and the two are summed to obtain the theoretical usage time of the DC panel battery;

[0045] Compare the theoretical usage time with the usage time threshold:

[0046] If the theoretical usage time of the DC panel battery is less than the usage time threshold, the DC panel battery is marked as a low-quality battery;

[0047] If the theoretical usage time of the DC screen battery is greater than or equal to the usage time threshold, the DC screen battery will be marked as a high-quality battery.

[0048] The beneficial effects of the present invention are as follows:

[0049] 1. During the monitoring period, the charging data of the DC panel battery is obtained, wherein the charging data includes the number of charging times and the charging time of the DC panel battery. By analyzing the charging data, the theoretical service life of the charging times and the theoretical service life of the charging time are obtained; the charging theoretical data including the theoretical remaining life YS of the charging times and the theoretical remaining life YT of the charging time are analyzed and processed to obtain the theoretical remaining life, so as to realize the prediction of the life cycle of the DC panel battery;

[0050] 2. Obtain the theoretical remaining life of the DC panel battery, analyze it, and determine the health status of the DC panel battery; based on the health signal, obtain the life data of the DC panel battery, where the life data includes the actual usage time and theoretical remaining life of the DC panel battery. By processing and analyzing the life data, the quality of the DC panel battery is evaluated to facilitate subsequent key monitoring and more effectively prevent safety hazards such as performance degradation and system damage caused by battery aging. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The present invention will be further described below in conjunction with the accompanying drawings.

[0052] Figure 1 It is a program flowchart of a DC panel battery life cycle prediction system according to an embodiment of the present invention;

[0053] Figure 2 It is a flow chart of the steps for obtaining the theoretical remaining life of the battery according to the number of charging times in a DC panel battery life cycle prediction system described in Example 1 of the present invention. DETAILED DESCRIPTION

[0054] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0055] Example 1

[0056] like Figure 1 As shown, a DC panel battery life cycle prediction system according to an embodiment of the present invention includes:

[0057] Charging monitoring module: During the monitoring period, the charging data of the DC panel battery is obtained, wherein the charging data includes the number of charging times and the charging time of the DC panel battery. By analyzing the charging data, the theoretical remaining life of the charging times and the theoretical remaining life of the charging time are obtained;

[0058] Specifically, the monitoring period is evenly divided into several time periods;

[0059] like Figure 2 As shown in the figure, the specific method of obtaining the theoretical remaining life of the charging times is:

[0060] Obtain the number of times the DC panel battery is charged in each time period within the monitoring cycle, and perform variance calculation on it to obtain the variance of the number of times;

[0061] It should be noted that the frequency variance represents the fluctuation of the number of times the DC panel battery is charged in different time periods during the monitoring period;

[0062] Compare the frequency variance with the frequency variance threshold;

[0063] If the frequency variance is greater than or equal to the frequency variance threshold, it means that the charging frequency in different time periods fluctuates greatly, and an uneven charging frequency signal is generated;

[0064] If the frequency variance is less than the frequency variance threshold, it means that the fluctuation of charging times in different time periods is small, and a uniform charging frequency signal is generated;

[0065] Based on the obtained charge number uniform signal:

[0066] Get the duration of the monitoring cycle, marked as YC; get the number of charging times within the monitoring cycle, marked as CL;

[0067] By formula The theoretical service life XS of charging times is calculated, where S1 represents the threshold of the number of charging times that the DC panel battery can withstand;

[0068] The theoretical service life XS obtained by the number of charging times is subtracted from the actual use time of the DC panel battery to obtain the theoretical remaining service life of the DC panel battery, which is marked as YS;

[0069] Similarly, the charging time of the DC panel battery in each time period within the monitoring cycle is obtained, and the variance is calculated to obtain the time variance;

[0070] It should be noted that the duration variance represents the fluctuation of the charging duration of the DC panel battery in each time period within the monitoring cycle;

[0071] comparing the duration variance to a duration variance threshold;

[0072] If the duration variance is greater than or equal to the duration variance threshold, it means that the charging duration in different time periods fluctuates greatly, and an uneven charging duration signal is generated;

[0073] If the duration variance is less than the duration variance threshold, it means that the fluctuation of charging duration in different time periods is small, and a uniform charging duration signal is generated;

[0074] Based on the obtained charging time average signal:

[0075] Get the total charging time during the monitoring period, marked as CT;

[0076] By formula The theoretical service life XT of the charging time is calculated, where S2 represents the threshold value of the charging time that the DC panel battery can withstand;

[0077] The theoretical service life XT of the charging time obtained is subtracted from the actual use time of the DC panel battery to obtain the theoretical remaining service life of the DC panel battery, which is marked as YT;

[0078] Data analysis module: obtain charging theory data, wherein the charging theory data includes the theoretical remaining life of the charging times YS and the theoretical remaining life of the charging time YT, analyze and process the charging theory data to obtain the theoretical remaining life;

[0079] Specifically, the theoretical remaining life YS of the number of charging times and the theoretical remaining life YT of the charging time are obtained, the difference between the two is processed, and the absolute value of the difference is taken to obtain the theoretical deviation value;

[0080] Compare and analyze the obtained theoretical deviation value with the theoretical deviation threshold:

[0081] If the theoretical deviation value is less than the theoretical deviation threshold, it means that the deviation between the theoretical remaining life of the charging times and the theoretical remaining life of the charging time is small, and a low deviation signal is generated;

[0082] If the theoretical deviation value is greater than or equal to the theoretical deviation threshold, it means that the deviation between the theoretical remaining life of the charging times and the theoretical remaining life of the charging time is large, and a high deviation signal is generated;

[0083] Based on the low deviation signal, the theoretical remaining life of the charging times YS and the theoretical remaining life of the charging time YT are averaged to obtain the theoretical remaining life, which is marked as ST.

[0084] Based on the high deviation signal, the theoretical remaining life of the charging times YS and the theoretical remaining life of the charging time YT are processed, and the formula is used The theoretical remaining life ST is obtained, where a1 and a2 are both preset proportional coefficients;

[0085] The technical solution of the embodiment of the present invention is: within the monitoring period, the charging data of the DC panel battery is obtained, wherein the charging data includes the number of times the DC panel battery is charged and the charging time, and the theoretical remaining life of the charging number and the theoretical remaining life of the charging time are obtained by analyzing the charging data; the charging theoretical data including the theoretical remaining life of the charging number YS and the theoretical remaining life of the charging time YT are analyzed and data processed to obtain the theoretical remaining life, thereby realizing the prediction of the life cycle of the DC panel battery.

[0086] Example 2

[0087] like Figure 1 As shown, a DC panel battery life cycle prediction system according to an embodiment of the present invention includes:

[0088] Aging judgment module: obtain the theoretical remaining life of the DC panel battery, analyze it, and judge the aging of the DC panel battery;

[0089] Specifically, the theoretical remaining life ST of the DC panel battery is obtained and compared with the theoretical remaining life threshold;

[0090] If the theoretical remaining life span ST is greater than the theoretical remaining life span threshold, a health signal is generated;

[0091] If the theoretical remaining lifespan ST is less than or equal to the theoretical remaining lifespan threshold, an aging signal is generated;

[0092] It should be noted that if an aging signal is received, it means that the DC panel battery has an abnormal charging tolerance and needs to be repaired or replaced to prevent safety hazards such as performance degradation and system damage caused by battery aging;

[0093] Battery evaluation module: Based on the health signal, the life data of the DC panel battery is obtained, where the life data includes the actual use time and theoretical remaining life of the DC panel battery. The quality of the DC panel battery is evaluated by processing and analyzing the life data;

[0094] Specifically, the actual usage time and theoretical remaining life of the DC panel battery that generates the health signal are obtained, and the two are summed to obtain the theoretical usage time of the DC panel battery;

[0095] It should be noted that the shorter the theoretical service life of the DC screen battery, the faster the DC screen battery ages and the lower the quality;

[0096] Compare the theoretical usage time with the usage time threshold:

[0097] If the theoretical usage time of the DC panel battery is less than the usage time threshold, the DC panel battery is marked as a low-quality battery;

[0098] If the theoretical usage time of the DC panel battery is greater than or equal to the usage time threshold, the DC panel battery is marked as a high-quality battery;

[0099] It should be noted that the purpose of quality assessment of DC panel batteries is to mark out batteries with lower quality, so as to facilitate subsequent key monitoring and more efficiently maintain the stability and safety of the energy system supplied by the batteries;

[0100] The technical solution of the embodiment of the present invention is: obtaining the theoretical remaining life of the DC panel battery, analyzing it, and judging the health status of the DC panel battery; based on the health signal, obtaining the life data of the DC panel battery, wherein the life data includes the actual usage time and the theoretical remaining life of the DC panel battery, and through processing and analyzing the life data, performing quality assessment on the DC panel battery, which is convenient for subsequent key monitoring and more efficiently preventing safety hazards such as performance degradation and system damage caused by battery aging.

[0101] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A DC panel battery life cycle prediction system, characterized by: include: Charging monitoring module: During the monitoring period, the charging data of the DC panel battery is obtained, wherein the charging data includes the number of charging times and the charging time of the DC panel battery. By analyzing the charging data, the theoretical remaining life of the charging times and the theoretical remaining life of the charging time are obtained; Data analysis module: obtains charging theory data, wherein the charging theory data includes the theoretical remaining life of the charging times and the theoretical remaining life of the charging duration, analyzes and processes the charging theory data, and obtains the theoretical remaining life; Aging judgment module: obtain the theoretical remaining life of the DC panel battery, analyze it, and judge the aging of the DC panel battery; Battery evaluation module: Based on the health signal, the life data of the DC panel battery is obtained, where the life data includes the actual usage time and theoretical remaining life of the DC panel battery. The quality of the DC panel battery is evaluated by processing and analyzing the life data.

2. A DC panel battery life cycle prediction system according to claim 1, characterized in that: The specific method for obtaining the theoretical remaining life of the charging times is as follows: Based on the obtained charge number uniform signal: Get the duration of the monitoring cycle, marked as YC; get the number of charging times within the monitoring cycle, marked as CL; By formula The theoretical service life XS of charging times is calculated, where S1 represents the threshold of the number of charging times that the DC panel battery can withstand; The theoretical service life XS obtained by the number of charging times is subtracted from the actual usage time of the DC panel battery to obtain the theoretical remaining service life of the DC panel battery, which is marked as YS.

3. A DC panel battery life cycle prediction system according to claim 2, characterized in that: The specific method of obtaining the charging number uniformity signal is: The monitoring period is evenly divided into several time periods, the number of times the DC panel battery is charged in each time period within the monitoring period is obtained, and the variance is calculated to obtain the variance of the number of times; Compare the frequency variance with the frequency variance threshold; If the number variance is less than the number variance threshold, it means that the fluctuation of the charging times in different time periods is small, and a uniform charging times signal is generated.

4. A DC panel battery life cycle prediction system according to claim 1, characterized in that: The specific method for obtaining the theoretical remaining life of the charging time is: Based on the obtained charging time average signal: Get the total charging time during the monitoring period, marked as CT; By formula The theoretical service life XT of the charging time is calculated, where S2 represents the threshold value of the charging time that the DC panel battery can withstand; The theoretical service life XT of the charging time obtained is subtracted from the actual usage time of the DC panel battery to obtain the theoretical remaining service life of the DC panel battery, which is marked as YT.

5. A DC panel battery life cycle prediction system according to claim 4, characterized in that: The specific method for obtaining the charging duration uniformity signal is as follows: Obtain the charging time of the DC panel battery in each time period within the monitoring cycle, and perform variance calculation on it to obtain the time variance; comparing the duration variance to a duration variance threshold; If the duration variance is less than the duration variance threshold, it means that the fluctuation of charging duration in different time periods is small, and a uniform charging duration signal is generated.

6. A DC panel battery life cycle prediction system according to claim 1, characterized in that: The specific method of obtaining the theoretical remaining life is as follows: Based on the low deviation signal, the theoretical remaining life of the charging times YS and the theoretical remaining life of the charging time YT are averaged to obtain the theoretical remaining life, which is marked as ST. Based on the high deviation signal, the theoretical remaining life of the charging times YS and the theoretical remaining life of the charging time YT are processed, and the formula is used The theoretical remaining life ST is obtained, where a1 and a2 are both preset proportional coefficients.

7. A DC panel battery life cycle prediction system according to claim 6, characterized in that: The specific method for obtaining the low deviation signal and the high deviation signal is: Compare and analyze the obtained theoretical deviation value with the theoretical deviation threshold: If the theoretical deviation value is less than the theoretical deviation threshold, it means that the deviation between the theoretical remaining life of the charging times and the theoretical remaining life of the charging time is small, and a low deviation signal is generated; If the theoretical deviation value is greater than or equal to the theoretical deviation threshold, it means that the deviation between the theoretical remaining life of the charging times and the theoretical remaining life of the charging time is large, and a high deviation signal is generated.

8. A DC panel battery life cycle prediction system according to claim 7, characterized in that: The specific method for obtaining the theoretical deviation value is as follows: Obtain the theoretical remaining life YS of the number of charging times and the theoretical remaining life YT of the charging time, perform difference processing on the two, and take the absolute value of the difference to obtain the theoretical deviation value.

9. A DC panel battery life cycle prediction system according to claim 1, characterized in that: The specific method for judging the aging condition of the DC panel battery is: Obtain the theoretical remaining life ST of the DC panel battery and compare it with the theoretical remaining life threshold; If the theoretical remaining life span ST is greater than the theoretical remaining life span threshold, a health signal is generated; If the theoretical remaining lifespan ST is less than or equal to the theoretical remaining lifespan threshold, an aging signal is generated.

10. A DC panel battery life cycle prediction system according to claim 1, characterized in that: The specific method of quality assessment of DC panel batteries is as follows: The actual usage time and theoretical remaining life of the DC panel battery that generates the health signal are obtained, and the two are summed to obtain the theoretical usage time of the DC panel battery; Compare the theoretical usage time with the usage time threshold: If the theoretical usage time of the DC panel battery is less than the usage time threshold, the DC panel battery is marked as a low-quality battery; If the theoretical usage time of the DC screen battery is greater than or equal to the usage time threshold, the DC screen battery will be marked as a high-quality battery.

Images