Backup power supply storage battery load characteristic optimal dynamic control method and system

Abstract

The invention provides a backup power supply storage battery load characteristic optimal dynamic control method, which comprises the steps of obtaining two different load side currents and online dynamic voltage and dynamic current of a storage battery side synchronously corresponding to each load side current so as to calculate the dynamic internal resistance of a storage battery, and calculating the dynamic internal resistance of the storage battery through a battery capacity degradation model. Obtaining the theoretical dynamic capacity of the storage battery; determining the nominal capacity of the storage battery based on the related model information of the storage battery, finding the nominal internal resistance corresponding to the nominal capacity from the capacity-internal resistance correlation curve, and further combining the dynamic internal resistance to obtain the actual dynamic capacity of the storage battery; according to the dynamic internal resistance, the nominal internal resistance, the theoretical dynamic capacity, the actual dynamic capacity and the nominal capacity of the storage battery, a corresponding load characteristic optimization control strategy is determined to ensure that the storage battery is in the optimal loading capacity. By implementing the invention, the loading capacity of the storage battery can be improved, so that the service life of the storage battery is prolonged, and the stability of a power system is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of storage batteries, and in particular to a method and system for optimal dynamic control of load characteristics of a backup power supply storage battery. Background Art

[0002] At present, in the application site of distribution network automation terminals, with the extension of time and the influence of energy consumption and environmental issues, the failure rate of backup power supply batteries is relatively high, which is mainly reflected in the fact that the batteries cannot supply power due to weak load capacity during emergency power supply. Therefore, it is necessary to focus on the optimal load characteristics of batteries.

[0003] However, in the prior art, the battery is in a static state for a long time, especially due to its sudden change characteristics, so that the static battery cannot ensure a certain load capacity, which leaves potential accidents for the safe operation of the distribution network and seriously affects the safety and reliability of the power supply equipment of the power system. Therefore, there is an urgent need for an optimization control method for the load characteristics of the backup power battery to improve the load capacity of the battery, thereby extending the battery life and ensuring the stability of the power system. Summary of the invention

[0004] The technical problem to be solved by the embodiments of the present invention is to provide a method and system for optimal dynamic control of the load characteristics of a backup power supply battery, which can improve the load-carrying capacity of the battery, thereby extending the battery life and ensuring the stability of the power system.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a method for optimal dynamic control of backup power supply battery load characteristics, the method comprising the following steps:

[0006] Obtaining two different load-side currents and the dynamic voltage and dynamic current of the battery side online corresponding to each load-side current synchronously to calculate the dynamic internal resistance of the battery, and obtaining the theoretical dynamic capacity of the battery according to the dynamic internal resistance through a preset battery capacity degradation model;

[0007] Based on the relevant model information of the battery, the nominal capacity of the battery is determined, and according to the nominal capacity, the nominal internal resistance corresponding to the nominal capacity is found from a preset capacity-internal resistance correlation curve, and further combined with the dynamic internal resistance to obtain the actual dynamic capacity of the battery;

[0008] According to the dynamic internal resistance, nominal internal resistance, theoretical dynamic capacity, actual dynamic capacity and nominal capacity of the battery, the corresponding load characteristic optimization control strategy is determined to ensure that the battery is at the optimal load capacity; wherein the load characteristic optimization control strategy includes the dynamic active supplementary power strategy, dynamic discharge activation strategy and degradation failure strategy of the battery.

[0009] The specific steps of obtaining two different load-side currents and the dynamic voltage and dynamic current of the battery side online corresponding to each load-side current to calculate the dynamic internal resistance of the battery, and obtaining the theoretical dynamic capacity of the battery according to the dynamic internal resistance through a preset battery capacity degradation model include:

[0010] Get the load side current I 101 And its synchronous corresponding battery side online dynamic voltage U 111 and dynamic current I 121 , and obtain the load side current I 102 And its synchronous corresponding battery side online dynamic voltage U 112 and dynamic current I 122 ;

[0011] By formula Calculate the dynamic internal resistance of the battery;

[0012] The dynamic internal resistance is introduced into the preset battery capacity degradation model to obtain the theoretical dynamic capacity of the battery.

[0013] The specific steps of determining the nominal capacity of the battery based on the relevant model information of the battery, finding the nominal internal resistance corresponding to the nominal capacity from a preset capacity-internal resistance correlation curve according to the nominal capacity, and further combining the dynamic internal resistance to obtain the actual dynamic capacity of the battery include:

[0014] Determine the nominal capacity of the battery according to the model of the battery, and find the nominal internal resistance corresponding to the nominal capacity from the preset capacity-internal resistance correlation curve according to the nominal capacity;

[0015] According to the dynamic internal resistance and nominal internal resistance of the battery, the deviation between the two is calculated, and the actual dynamic capacity of the battery is obtained from the preset deviation-capacity mapping table.

[0016] The specific steps of determining the corresponding load characteristic optimization control strategy according to the dynamic internal resistance, nominal internal resistance, theoretical dynamic capacity, actual dynamic capacity and nominal capacity of the battery to ensure that the battery is at the optimal load capacity include:

[0017] Calculating an internal resistance deviation value between a dynamic internal resistance and a nominal internal resistance of the battery, a first ratio between a theoretical dynamic capacity and a nominal capacity of the battery, and a second ratio between an actual dynamic capacity and a nominal capacity;

[0018] If the calculated internal resistance deviation value is outside the predetermined range or the calculated first ratio is greater than the first preset percentage, the load characteristic optimization control strategy is determined to be a dynamic active supplementary power strategy for the battery to realize charging of the battery;

[0019] If the calculated internal resistance deviation value is within the predetermined range or the calculated first ratio is less than the first preset percentage, the load characteristic optimization control strategy is determined to be a dynamic discharge activation strategy of the battery to discharge the battery;

[0020] If the calculated second ratio is less than the second preset percentage, the load characteristic optimization control strategy is determined to be a battery degradation failure strategy to terminate the use of the battery.

[0021] Wherein, the method further comprises:

[0022] If it is detected that the dynamic voltage on the battery side is less than the predetermined voltage lower limit, the load characteristic optimization control strategy is determined to be a dynamic active supplementary power strategy for the battery, so as to realize charging of the battery;

[0023] If it is detected that the dynamic voltage on the battery side is greater than a predetermined voltage upper limit, the load characteristic optimization control strategy is determined to be a dynamic discharge activation strategy for the battery to discharge the battery.

[0024] Wherein, the method further comprises:

[0025] In the dynamic discharge activation strategy of the battery, the battery is charged in a constant power manner; or in the dynamic discharge activation strategy of the battery, the battery is discharged in a constant current manner.

[0026] The embodiment of the present invention also provides a backup power supply battery load characteristic optimal dynamic control system, including:

[0027] An online data detection unit is used to obtain two different load-side currents and the dynamic voltage and dynamic current of the battery side online corresponding to each load-side current, so as to calculate the dynamic internal resistance of the battery, and obtain the theoretical dynamic capacity of the battery according to the dynamic internal resistance through a preset battery capacity degradation model;

[0028] A nominal data unit, used to determine the nominal capacity of the battery based on the relevant model information of the battery, and according to the nominal capacity, find the nominal internal resistance corresponding to the nominal capacity from a preset capacity-internal resistance correlation curve, and further combine the dynamic internal resistance to obtain the actual dynamic capacity of the battery;

[0029] The load characteristic optimization control unit is used to determine the corresponding load characteristic optimization control strategy according to the dynamic internal resistance, nominal internal resistance, theoretical dynamic capacity, actual dynamic capacity and nominal capacity of the battery to ensure that the battery is at the optimal load capacity; wherein the load characteristic optimization control strategy includes the dynamic active supplementary power strategy, dynamic discharge activation strategy and degradation failure strategy of the battery.

[0030] Wherein, the online data detection unit comprises:

[0031] Online data acquisition module, used to obtain the load side current I 101 And its synchronous corresponding battery side online dynamic voltage U 111 and dynamic current I 121 , and obtain the load side current I 102 And its synchronous corresponding battery side online dynamic voltage U 112 and dynamic current I 122 ;

[0032] Dynamic internal resistance calculation module, used to calculate the dynamic internal resistance through the formula Calculate the dynamic internal resistance of the battery;

[0033] The theoretical dynamic capacity acquisition module is used to import the dynamic internal resistance into the preset battery capacity degradation model to obtain the theoretical dynamic capacity of the battery.

[0034] Wherein, the nominal data unit includes:

[0035] A nominal internal resistance acquisition module, used to determine the nominal capacity of the battery according to the model of the battery, and find the nominal internal resistance corresponding to the nominal capacity from the preset capacity-internal resistance correlation curve according to the nominal capacity;

[0036] The actual dynamic capacity acquisition module is used to calculate the deviation between the dynamic internal resistance and the nominal internal resistance of the battery according to the two, and obtain the actual dynamic capacity of the battery from a preset deviation-capacity mapping table.

[0037] Wherein, the load characteristic optimization control unit comprises:

[0038] A deviation and ratio calculation module, used to calculate the internal resistance deviation value between the dynamic internal resistance and the nominal internal resistance of the battery, the first ratio between the theoretical dynamic capacity and the nominal capacity of the battery, and the second ratio between the actual dynamic capacity and the nominal capacity;

[0039] A dynamic active supplementary power strategy acquisition module, for determining that the load characteristic optimization control strategy is a dynamic active supplementary power strategy for the battery if the calculated internal resistance deviation value is outside a predetermined range or the calculated first ratio is greater than a first preset percentage, so as to realize charging of the battery;

[0040] A dynamic discharge activation strategy acquisition module, configured to determine that the load characteristic optimization control strategy is a dynamic discharge activation strategy of the battery if the calculated internal resistance deviation value is within the predetermined range or the calculated first ratio is less than the first preset percentage, so as to discharge the battery;

[0041] The degradation failure strategy acquisition module is used to determine that the load characteristic optimization control strategy is the degradation failure strategy of the battery if the calculated second ratio is less than the second preset percentage, so as to terminate the use of the battery.

[0042] Implementing the embodiments of the present invention has the following beneficial effects:

[0043] The present invention determines the load characteristic optimization control strategy through online analysis of the dynamic internal resistance, nominal internal resistance, theoretical dynamic capacity, actual dynamic capacity and nominal capacity of the battery to ensure that the battery is at the optimal load capacity, thereby improving the load capacity of the battery, extending the battery life and ensuring the stability of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, without paying creative labor, other drawings obtained based on these drawings still belong to the scope of the present invention.

[0045] Figure 1 A flowchart of a method for optimal dynamic control of backup power supply battery load characteristics provided by an embodiment of the present invention;

[0046] Figure 2 A schematic diagram of the structure of a backup power supply battery load characteristic optimal dynamic control system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings.

[0048] like Figure 1 As shown in the figure, a method for optimal dynamic control of backup power supply battery load characteristics is provided in an embodiment of the present invention, and the method comprises the following steps:

[0049] Step S1, obtaining two different load-side currents and the dynamic voltage and dynamic current of the battery side online corresponding to each load-side current, so as to calculate the dynamic internal resistance of the battery, and according to the dynamic internal resistance, obtain the theoretical dynamic capacity of the battery through a preset battery capacity degradation model;

[0050] The specific process is as follows: first, obtain the load side current I 101 And its synchronous corresponding battery side online dynamic voltage U 111 and dynamic current I 121 , and obtain the load side current I 102 And its synchronous corresponding battery side online dynamic voltage U 112 and dynamic current I 122 .

[0051] Secondly, through the formula Calculate the dynamic internal resistance of the battery.

[0052] Finally, the dynamic internal resistance is introduced into the preset battery capacity degradation model to obtain the theoretical dynamic capacity of the battery.

[0053] It should be noted that the online dynamic voltage and dynamic current of the battery side are the online output voltage and current of the battery; the battery capacity degradation model is constructed by technicians in this field based on the correlation between battery capacity and internal impedance using common technical means in this field, so it will not be repeated here.

[0054] Step S2: determining the nominal capacity of the battery based on the relevant model information of the battery, and finding the nominal internal resistance corresponding to the nominal capacity from a preset capacity-internal resistance correlation curve according to the nominal capacity, and further combining the dynamic internal resistance to obtain the actual dynamic capacity of the battery;

[0055] The specific process is, first, determine the nominal capacity of the battery according to the battery model, and according to the nominal capacity, find the nominal internal resistance corresponding to the nominal capacity from the preset capacity-internal resistance correlation curve; it should be noted that, given that the battery capacity curve changes in a downward parabola, the battery internal resistance curve changes in an upward parabola, and the inflection points and change rates of the two are correlated, thereby constructing a capacity-internal resistance correlation curve, and it can be further known that the smaller the battery capacity, the greater the internal resistance.

[0056] Secondly, according to the dynamic internal resistance and the nominal internal resistance of the battery, the deviation between the two is calculated, and the actual dynamic capacity of the battery is obtained from the preset deviation-capacity mapping table. It should be noted that the deviation-capacity mapping table is predefined based on the linear correlation between the internal resistance deviation value and the battery capacity, or the correlation between the dynamic internal resistance, the nominal internal resistance and the slope of the degradation inflection point curve.

[0057] Step S3, determining the corresponding load characteristic optimization control strategy according to the dynamic internal resistance, nominal internal resistance, theoretical dynamic capacity, actual dynamic capacity and nominal capacity of the battery to ensure that the battery is at an optimal load capacity; wherein the load characteristic optimization control strategy includes the dynamic active supplementary power strategy, dynamic discharge activation strategy and degradation failure strategy of the battery.

[0058] The specific process is as follows: first, the internal resistance deviation value between the dynamic internal resistance and the nominal internal resistance of the battery, the first ratio between the theoretical dynamic capacity and the nominal capacity of the battery, and the second ratio between the actual dynamic capacity and the nominal capacity are calculated.

[0059] Secondly, if the calculated internal resistance deviation value is outside the predetermined range (such as the nominal internal resistance * [-35%, 35%]) or the calculated first ratio is greater than the first preset percentage (such as 10%), the load characteristic optimization control strategy is determined to be the dynamic active supplementary power strategy of the battery to realize charging the battery; it should be noted that in the dynamic discharge activation strategy of the battery, the battery is charged in a constant power manner, so as to realize the dynamic control of online active rate shallow fast charging through closed-loop control of the charging current value, continuously and actively perform supplementary control, and complete the purpose of fast dynamic correction of the deviation between capacity and internal resistance, so as to ensure that the battery is in the optimal load capacity range;

[0060] Or, if the calculated internal resistance deviation value is within a predetermined range or the calculated first ratio is less than a first preset percentage, the load characteristic optimization control strategy is determined to be a dynamic discharge activation strategy for the battery to discharge the battery; it should be noted that in the dynamic discharge activation strategy for the battery, a constant current method is used to discharge the battery, so that the discharge current value is controlled in a closed loop to achieve dynamic control of online active rate shallow fast discharge, and the activation control is continuously and actively performed to achieve the purpose of fast dynamic correction of the deviation between the capacity and the internal resistance, thereby ensuring that the battery is in the optimal load capacity range;

[0061] Alternatively, if the calculated second ratio is less than a second preset percentage (eg, 80%), the load characteristic optimization control strategy is determined to be a battery degradation failure strategy to terminate the use of the battery.

[0062] In an example, if -35%*dynamic internal resistance R<nominal internal resistance RT-dynamic internal resistance R<35%*dynamic internal resistance R or theoretical dynamic capacity / nominal capacity>10%, the dynamic active charging strategy of the battery is adopted to charge the battery; if nominal internal resistance RT-dynamic internal resistance R<-35%*dynamic internal resistance R or nominal internal resistance RT-dynamic internal resistance R<35%*dynamic internal resistance R or theoretical dynamic capacity / nominal capacity<10%, the dynamic discharge activation strategy of the battery is adopted to discharge the battery.

[0063] In another example, when the actual dynamic capacity / nominal capacity is less than 80%, a battery degradation failure strategy is adopted to terminate the use of the battery.

[0064] It is understandable that when the battery is charged in a constant power mode in the dynamic discharge activation strategy of the battery, the charging will automatically stop when the output voltage of the battery reaches the allowable range of the floating charge voltage. When the battery is discharged in a constant current mode in the dynamic discharge activation strategy of the battery, the discharge will automatically stop when the output voltage of the battery reaches the safe stop voltage.

[0065] Similarly, the battery is actively charged when the output voltage of the battery reaches the voltage lower limit, or the battery is actively charged when the output voltage of the battery reaches the voltage upper limit. Therefore, the method further includes: if it is detected that the dynamic voltage on the battery side is less than the predetermined voltage lower limit, the load characteristic optimization control strategy is determined to be the dynamic discharge activation strategy of the battery to discharge the battery; if it is detected that the dynamic voltage on the battery side is greater than the predetermined voltage upper limit, the load characteristic optimization control strategy is determined to be the dynamic discharge activation strategy of the battery to discharge the battery.

[0066] like Figure 2 As shown, an optimal dynamic control system for backup power supply battery load characteristics is provided in an embodiment of the present invention, including:

[0067] The online data detection unit 110 is used to obtain two different load-side currents and the dynamic voltage and dynamic current of the battery side online corresponding to each load-side current, so as to calculate the dynamic internal resistance of the battery, and obtain the theoretical dynamic capacity of the battery according to the dynamic internal resistance through a preset battery capacity degradation model;

[0068] The nominal data unit 120 is used to determine the nominal capacity of the battery based on the relevant model information of the battery, and according to the nominal capacity, find the nominal internal resistance corresponding to the nominal capacity from a preset capacity-internal resistance correlation curve, and further combine the dynamic internal resistance to obtain the actual dynamic capacity of the battery;

[0069] The load characteristic optimization control unit 130 is used to determine the corresponding load characteristic optimization control strategy according to the dynamic internal resistance, nominal internal resistance, theoretical dynamic capacity, actual dynamic capacity and nominal capacity of the battery to ensure that the battery is at the optimal load capacity; wherein the load characteristic optimization control strategy includes the dynamic active supplementary power strategy, dynamic discharge activation strategy and degradation failure strategy of the battery.

[0070] Wherein, the online data detection unit 110 includes:

[0071] Online data acquisition module, used to obtain the load side current I 101 And its synchronous corresponding battery side online dynamic voltage U 111 and dynamic current I 121 , and obtain the load side current I 102 And its synchronous corresponding battery side online dynamic voltage U 112 and dynamic current I 122 ;

[0072] Dynamic internal resistance calculation module, used to calculate the dynamic internal resistance through the formula Calculate the dynamic internal resistance of the battery;

[0073] The theoretical dynamic capacity acquisition module is used to import the dynamic internal resistance into the preset battery capacity degradation model to obtain the theoretical dynamic capacity of the battery.

[0074] The nominal data unit 120 includes:

[0075] A nominal internal resistance acquisition module, used to determine the nominal capacity of the battery according to the model of the battery, and find the nominal internal resistance corresponding to the nominal capacity from the preset capacity-internal resistance correlation curve according to the nominal capacity;

[0076] The actual dynamic capacity acquisition module is used to calculate the deviation between the dynamic internal resistance and the nominal internal resistance of the battery according to the two, and obtain the actual dynamic capacity of the battery from a preset deviation-capacity mapping table.

[0077] The load characteristic optimization control unit 130 includes:

[0078] A deviation and ratio calculation module, used to calculate the internal resistance deviation value between the dynamic internal resistance and the nominal internal resistance of the battery, the first ratio between the theoretical dynamic capacity and the nominal capacity of the battery, and the second ratio between the actual dynamic capacity and the nominal capacity;

[0079] A dynamic active supplementary power strategy acquisition module, for determining that the load characteristic optimization control strategy is a dynamic active supplementary power strategy for the battery if the calculated internal resistance deviation value is outside a predetermined range or the calculated first ratio is greater than a first preset percentage, so as to realize charging of the battery;

[0080] A dynamic discharge activation strategy acquisition module, configured to determine that the load characteristic optimization control strategy is a dynamic discharge activation strategy of the battery if the calculated internal resistance deviation value is within the predetermined range or the calculated first ratio is less than the first preset percentage, so as to discharge the battery;

[0081] The degradation failure strategy acquisition module is used to determine that the load characteristic optimization control strategy is the degradation failure strategy of the battery if the calculated second ratio is less than the second preset percentage, so as to terminate the use of the battery.

[0082] Implementing the embodiments of the present invention has the following beneficial effects:

[0083] The present invention determines the load characteristic optimization control strategy through online analysis of the dynamic internal resistance, nominal internal resistance, theoretical dynamic capacity, actual dynamic capacity and nominal capacity of the battery to ensure that the battery is at the optimal load capacity, thereby improving the load capacity of the battery, extending the battery life and ensuring the stability of the power system.

[0084] It is worth noting that in the above system embodiment, the various system modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the various functional modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0085] A person skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, such as ROM / RAM, disk, CD-ROM, etc.

[0086] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for optimal dynamic control of backup power battery load characteristics, characterized in that: The method comprises the following steps: Obtaining two different load-side currents and the dynamic voltage and dynamic current of the battery side online corresponding to each load-side current synchronously to calculate the dynamic internal resistance of the battery, and obtaining the theoretical dynamic capacity of the battery according to the dynamic internal resistance through a preset battery capacity degradation model; Based on the relevant model information of the battery, the nominal capacity of the battery is determined, and according to the nominal capacity, the nominal internal resistance corresponding to the nominal capacity is found from a preset capacity-internal resistance correlation curve, and further combined with the dynamic internal resistance to obtain the actual dynamic capacity of the battery; According to the dynamic internal resistance, nominal internal resistance, theoretical dynamic capacity, actual dynamic capacity and nominal capacity of the battery, the corresponding load characteristic optimization control strategy is determined to ensure that the battery is at the optimal load capacity; wherein the load characteristic optimization control strategy includes the dynamic active supplementary power strategy, dynamic discharge activation strategy and degradation failure strategy of the battery.

2. The optimal dynamic control method for backup power supply battery load characteristics as claimed in claim 1, characterized in that: The specific steps of obtaining two different load-side currents and the dynamic voltage and dynamic current of the battery side online corresponding to each load-side current to calculate the dynamic internal resistance of the battery, and obtaining the theoretical dynamic capacity of the battery according to the dynamic internal resistance through a preset battery capacity degradation model include: Get the load side current I 101 And its synchronous corresponding battery side online dynamic voltage U 111 and dynamic current I 121 , and obtain the load side current I 102 And its synchronous corresponding battery side online dynamic voltage U 112 and dynamic current I 122 ; By formula Calculate the dynamic internal resistance of the battery; The dynamic internal resistance is introduced into the preset battery capacity degradation model to obtain the theoretical dynamic capacity of the battery.

3. The optimal dynamic control method for backup power supply battery load characteristics as claimed in claim 1, characterized in that: The specific steps of determining the nominal capacity of the battery based on the battery model information, finding the nominal internal resistance corresponding to the nominal capacity from a preset capacity-internal resistance correlation curve according to the nominal capacity, and further combining the dynamic internal resistance to obtain the actual dynamic capacity of the battery include: Determine the nominal capacity of the battery according to the model of the battery, and find the nominal internal resistance corresponding to the nominal capacity from the preset capacity-internal resistance correlation curve according to the nominal capacity; According to the dynamic internal resistance and nominal internal resistance of the battery, the deviation between the two is calculated, and the actual dynamic capacity of the battery is obtained from the preset deviation-capacity mapping table.

4. The optimal dynamic control method for backup power supply battery load characteristics as claimed in claim 1, characterized in that: The specific steps of determining the corresponding load characteristic optimization control strategy according to the dynamic internal resistance, nominal internal resistance, theoretical dynamic capacity, actual dynamic capacity and nominal capacity of the battery to ensure that the battery is at the optimal load capacity include: Calculating an internal resistance deviation value between a dynamic internal resistance and a nominal internal resistance of the battery, a first ratio between a theoretical dynamic capacity and a nominal capacity of the battery, and a second ratio between an actual dynamic capacity and a nominal capacity; If the calculated internal resistance deviation value is outside the predetermined range or the calculated first ratio is greater than the first preset percentage, the load characteristic optimization control strategy is determined to be a dynamic active supplementary power strategy for the battery to realize charging of the battery; If the calculated internal resistance deviation value is within the predetermined range or the calculated first ratio is less than the first preset percentage, the load characteristic optimization control strategy is determined to be a dynamic discharge activation strategy of the battery to discharge the battery; If the calculated second ratio is less than the second preset percentage, the load characteristic optimization control strategy is determined to be a battery degradation failure strategy to terminate the use of the battery.

5. The optimal dynamic control method for backup power supply battery load characteristics as claimed in claim 4, characterized in that: The method further comprises: If it is detected that the dynamic voltage on the battery side is less than the predetermined voltage lower limit, the load characteristic optimization control strategy is determined to be a dynamic active supplementary power strategy for the battery, so as to realize charging of the battery; If it is detected that the dynamic voltage on the battery side is greater than a predetermined voltage upper limit, the load characteristic optimization control strategy is determined to be a dynamic discharge activation strategy for the battery to discharge the battery.

6. The optimal dynamic control method for backup power supply battery load characteristics as claimed in claim 5, characterized in that: The method further comprises: In the dynamic discharge activation strategy of the battery, the battery is charged in a constant power manner; or in the dynamic discharge activation strategy of the battery, the battery is discharged in a constant current manner.

7. A backup power supply battery load characteristic optimal dynamic control system, characterized in that: include; An online data detection unit is used to obtain two different load-side currents and the dynamic voltage and dynamic current of the battery side online corresponding to each load-side current, so as to calculate the dynamic internal resistance of the battery, and obtain the theoretical dynamic capacity of the battery according to the dynamic internal resistance through a preset battery capacity degradation model; A nominal data unit, used to determine the nominal capacity of the battery based on the relevant model information of the battery, and according to the nominal capacity, find the nominal internal resistance corresponding to the nominal capacity from a preset capacity-internal resistance correlation curve, and further combine the dynamic internal resistance to obtain the actual dynamic capacity of the battery; The load characteristic optimization control unit is used to determine the corresponding load characteristic optimization control strategy according to the dynamic internal resistance, nominal internal resistance, theoretical dynamic capacity, actual dynamic capacity and nominal capacity of the battery to ensure that the battery is at the optimal load capacity; wherein the load characteristic optimization control strategy includes the dynamic active supplementary power strategy, dynamic discharge activation strategy and degradation failure strategy of the battery.

8. The optimal dynamic control system for backup power supply battery load characteristics as claimed in claim 7, characterized in that: The online data detection unit comprises: Online data acquisition module, used to obtain the load side current I 101 And its synchronous corresponding battery side online dynamic voltage U 111 and dynamic current I 121 , and obtain the load side current I 102 And its synchronous corresponding battery side online dynamic voltage U 112 and dynamic current I 122 ; Dynamic internal resistance calculation module, used to calculate the dynamic internal resistance through the formula Calculate the dynamic internal resistance of the battery; The theoretical dynamic capacity acquisition module is used to import the dynamic internal resistance into the preset battery capacity degradation model to obtain the theoretical dynamic capacity of the battery.

9. The optimal dynamic control system for backup power supply battery load characteristics as claimed in claim 7, characterized in that: The nominal data unit includes: A nominal internal resistance acquisition module, used to determine the nominal capacity of the battery according to the model of the battery, and find the nominal internal resistance corresponding to the nominal capacity from the preset capacity-internal resistance correlation curve according to the nominal capacity; The actual dynamic capacity acquisition module is used to calculate the deviation between the dynamic internal resistance and the nominal internal resistance of the battery according to the two, and obtain the actual dynamic capacity of the battery from a preset deviation-capacity mapping table.

10. The optimal dynamic control system for backup power supply battery load characteristics as claimed in claim 7, characterized in that: The load characteristic optimization control unit comprises: A deviation and ratio calculation module, used to calculate the internal resistance deviation value between the dynamic internal resistance and the nominal internal resistance of the battery, the first ratio between the theoretical dynamic capacity and the nominal capacity of the battery, and the second ratio between the actual dynamic capacity and the nominal capacity; A dynamic active supplementary power strategy acquisition module, for determining that the load characteristic optimization control strategy is a dynamic active supplementary power strategy for the battery if the calculated internal resistance deviation value is outside a predetermined range or the calculated first ratio is greater than a first preset percentage, so as to realize charging of the battery; A dynamic discharge activation strategy acquisition module, configured to determine that the load characteristic optimization control strategy is a dynamic discharge activation strategy of the battery if the calculated internal resistance deviation value is within the predetermined range or the calculated first ratio is less than the first preset percentage, so as to discharge the battery; The degradation failure strategy acquisition module is used to determine that the load characteristic optimization control strategy is the degradation failure strategy of the battery if the calculated second ratio is less than the second preset percentage, so as to terminate the use of the battery.

Images