CN113991718A - Lead-acid battery peak clipping and valley filling self-adaptive system and method - Google Patents

Lead-acid battery peak clipping and valley filling self-adaptive system and method Download PDF

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CN113991718A
CN113991718A CN202111374204.8A CN202111374204A CN113991718A CN 113991718 A CN113991718 A CN 113991718A CN 202111374204 A CN202111374204 A CN 202111374204A CN 113991718 A CN113991718 A CN 113991718A
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battery
voltage
peak clipping
time
adaptive
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CN113991718B (en
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高建慎
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Shanghai Huzhen Intelligent Technology Co ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385Arrangements for measuring battery or accumulator variables
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/396Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0029Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
    • H02J7/00306Overdischarge protection
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0047Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • H02J7/0048Detection of remaining charge capacity or state of charge [SOC]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0068Battery or charger load switching, e.g. concurrent charging and load supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/007Regulation of charging or discharging current or voltage
    • H02J7/0071Regulation of charging or discharging current or voltage with a programmable schedule
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/007Regulation of charging or discharging current or voltage
    • H02J7/00712Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters

Abstract

The invention belongs to the technical field of lead-acid batteries, and particularly relates to a lead-acid battery peak clipping and valley filling self-adaptive system and a method. According to the lead-acid battery peak clipping and valley filling self-adaptive system and method, aiming at the use characteristics of a lead-acid battery, when the lead-acid battery is subjected to peak clipping and discharging, a self-adaptive program is arranged in a system processor, according to battery performance parameters and discharging current parameters acquired by a data acquisition system in the battery monomer voltage acquisition or current acquisition, the charging and discharging time and the charging and discharging time in the peak-valley period are corrected in a self-adaptive mode, a charging and discharging starting command is sent to an execution device, the system processor sends the peak clipping and valley filling, the battery vulcanization degree, the performance and other data to an analysis system, and the self-adaptive program automatically corrects the peak clipping and valley filling parameters according to the analysis result, so that the purpose of an optimal peak clipping and valley filling scheme of the lead-acid battery is achieved.

Description

Lead-acid battery peak clipping and valley filling self-adaptive system and method
Technical Field
The invention relates to the technical field of lead-acid batteries, in particular to a lead-acid battery peak clipping and valley filling self-adaptive system and method.
Background
In order to advocate the saving of electricity, China implements schemes with different time intervals and different electricity prices. At present, lead-acid batteries and lithium batteries are mainly used as a storage power supply of a standby power supply. Because the current lithium battery is expensive and the safety, scale and systematization of the lithium battery are all to be improved, the lead-acid battery is still an irreplaceable energy storage option in a short time.
The peak clipping and valley filling environment of the lead-acid battery is that the lead-acid battery is discharged at the peak in the daytime, and the optimal discharge time is 9: 00-12: 00 at the peak, 15: 00-20: when the charging time is 00 hours, the optimal charging time period is 22: 00-6: 00 hours (different places are slightly). Since the lead-acid battery needs to be left for a certain period of time after being charged, the discharge rate should be smaller than the charge rate. Because of the cyclic charge-discharge characteristics of the lead-acid battery and the function of the standby power supply, the peak clipping and valley filling scheme suitable for the characteristics of the lead-acid battery is selected, so that the service life of the lead-acid battery can be prolonged, and the energy storage function of the lead-acid battery can be increased.
Disclosure of Invention
Based on the technical problems that the energy saving effect is not obvious in peak-valley application and the service life is reduced in the conventional lead-acid storage battery, the invention provides a peak clipping and valley filling self-adaptive system and method for the lead-acid storage battery.
The invention provides a lead-acid battery peak clipping and valley filling self-adaptive system and a method, which comprise single voltage acquisition, current acquisition, a system processor, an analysis system and an execution device, wherein the single voltage acquisition and the current acquisition respectively output acquired battery performance parameters and discharge current parameters to the system processor through a data acquisition system;
the system processor is preset with a peak clipping and valley filling scheme, automatically starts to operate according to the preset peak clipping and valley filling scheme, and outputs a result to the execution device;
the analysis system receives the cell data and operational data output by the system processor in real time.
Preferably, the system processor includes an adaptive system, the adaptive program starts the operation of the peak clipping and valley filling scheme, during the peak clipping and discharging process, the adaptive program in the system processor receives the battery performance parameters acquired by the cell voltage acquisition via the data acquisition system through the real-time monitoring processor, and once the battery performance parameters are lower than a standard value, the adaptive program stops the peak clipping and valley filling scheme.
Preferably, the adaptive program sends the operation parameters and the collected data to the analysis system in real time during the operation process, receives the analysis result output by the analysis system, and stores the current data of discharge time, capacity, cell voltage and the like into an analysis memory of the analysis system when the peak clipping and valley filling scheme is stopped.
Preferably, the system processor automatically starts operation according to the peak clipping and valley filling scheme preset by the adaptive program, and outputs a result to the execution device.
Preferably, the analysis system comprises a monomer residual capacity analysis, the monomer residual capacity analysis adopts a discharge rate and equivalent voltage difference time method, namely, the voltage of the monomer battery is collected in real time in the discharge process, when the voltage of the monomer battery is reduced to the cut-off voltage, the time used by the voltage of the monomer battery is compared with the time required by the standard battery to reduce to the cut-off voltage, and the current battery residual capacity is calculated by combining the discharge rate.
Preferably, the analysis system further comprises a battery pack standby power time analysis, wherein the battery pack standby power time analysis adopts the comprehensive discharge current analysis of each battery performance index in the battery pack, calculates the discharge time of the battery pack, and outputs the result to the adaptive program of the system processor.
Preferably, the analysis system outputs an analysis structure to the adaptive program, the adaptive program analyzes and adjusts a charging current value according to the monomer residual capacity, the battery voltage is cut to a voltage lower limit value, and the discharge time and the discharge duration are analyzed and corrected according to the battery pack standby power time.
Preferably, an execution method of the lead-acid battery peak clipping and valley filling adaptive system is as follows: PO1, selecting an adaptive program to run;
PO2, and prompting by an adaptive program to set peak clipping and valley filling operation parameters: the method comprises the following steps of (1) automatically correcting other parameter values except for spare endurance according to analysis results of a last-time discharge analysis system by using a single battery voltage lower limit, a peak discharge time period, a discharge current, a charge time period, a charge current, the spare endurance and the like;
PO3, judging whether the voltage of the single battery meets the conditions in real time, entering P04 if the voltage meets the conditions, jumping to P06 if the voltage does not meet the conditions, and outputting real-time data to an analysis system;
PO4, when the P03 condition is satisfied, automatically starting a peak clipping and valley filling scheme according to preset parameters;
PO5, real-time judging whether the running data reaches the set running parameters, entering P06 if the running data reaches the set values, continuing running the adaptive program if the running data does not reach the set values, and simultaneously sending the real-time running data to the analysis system;
PO6, when the operation data reaches the set data, stopping the peak clipping and valley filling scheme and waiting for the next adaptive program starting command.
Preferably, the analysis method of the analysis system in the lead-acid battery peak clipping and valley filling adaptive system comprises the following steps: c01, the analysis system receives the single battery data and the operation data which are output by the system processor in real time;
c02, analyzing the residual capacity of the single battery by adopting a voltage difference method, collecting the voltage of the single battery in real time in the discharging process, comparing the time of the voltage of the single battery when the voltage of the single battery is reduced to a cut-off voltage with the time required by the standard battery when the voltage of the single battery is reduced to the cut-off voltage, and calculating the residual capacity of the current battery, wherein the formula is as follows;
Figure DEST_PATH_IMAGE002
Figure DEST_PATH_IMAGE004
c03, calculating the sustainable discharge time of the battery pack by combining the performance parameters of each battery in the battery pack and the discharge current comprehensively, wherein the formula is as follows;
Figure DEST_PATH_IMAGE006
Figure DEST_PATH_IMAGE008
c04, outputting the analysis result to a self-adaptive program, and adjusting the charging current value and the lower limit value of the battery cut-off voltage according to the residual capacity of the battery by the program; and correcting the discharge time and the discharge duration according to the dischargeable time of the battery pack.
The beneficial effects of the invention are as follows:
the lead-acid storage battery can discharge the required capacity at the peak through setting a self-adaptive program and self-adaptively correcting the discharge time, the discharge duration and the charging current parameter, and can store the corresponding spare capacity and prevent the lead-acid storage battery from being over-discharged to cause damage.
Drawings
Fig. 1 is a block diagram of a peak clipping and valley filling adaptive system and method for a lead-acid battery according to the present invention;
fig. 2 is a flow chart of an adaptive program of a system and a method for peak clipping and valley filling adaptive for lead-acid batteries according to the present invention;
fig. 3 is a flow chart of an analysis system of the lead-acid battery peak clipping and valley filling adaptive system and method provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-3, a lead-acid battery peak clipping and valley filling adaptive system and method includes a single voltage acquisition unit, a current acquisition unit, a system processor, an analysis system and an execution device, wherein the single voltage acquisition unit and the current acquisition unit respectively output acquired battery performance parameters and discharge current parameters to the system processor through a data acquisition system;
the system processor is preset with a peak clipping and valley filling scheme, automatically starts to operate according to the preset peak clipping and valley filling scheme, and outputs a result to the execution device;
further, in order to realize the release of the required capacity of the lead-acid storage battery during peak load, the system processor comprises an adaptive system, the adaptive program starts the operation of the peak load shifting scheme, the adaptive program in the system processor receives the battery performance parameters acquired by the monomer voltage acquisition system through a real-time monitoring processor in the peak load shifting discharging process, and once the battery performance parameters are lower than a standard value, the adaptive program stops the peak load shifting scheme;
the self-adaptive program sends operation parameters and acquired data to the analysis system in real time in the operation process, receives an analysis result output by the analysis system, and stores the data of the discharge time, the capacity, the monomer voltage and the like in an analysis memory of the analysis system when the peak clipping and valley filling scheme stops;
the lead-acid storage battery can discharge the required capacity at the peak through setting a self-adaptive program and self-adaptively correcting the discharge time, the discharge duration and the charging current parameter, and can store the corresponding spare capacity and prevent the lead-acid storage battery from being over-discharged to cause damage.
The system processor automatically starts operation according to the peak clipping and valley filling scheme preset by the self-adaptive program, and outputs a result to the execution device;
the analysis system receives the single battery data and the operation data which are output by the system processor in real time;
further, in order to store corresponding spare capacity and prevent damage caused by over-discharge of the lead-acid battery, the analysis system comprises monomer residual capacity analysis and battery pack spare power time analysis;
the monomer residual capacity analysis adopts a discharge multiplying power and equivalent voltage difference time method, namely, the voltage of the monomer battery is collected in real time in the discharge process, when the voltage of the monomer battery is reduced to a cut-off voltage, the time used for the voltage of the monomer battery is compared with the time required for the voltage of a standard battery to be reduced to the cut-off voltage, and the current battery residual capacity is calculated by combining the discharge multiplying power;
the battery pack standby power time analysis adopts the comprehensive discharge current analysis of each battery performance index in the battery pack, calculates the discharge time of the battery pack and outputs the result to the self-adaptive program of the system processor;
the analysis system outputs an analysis structure to the self-adaptive program, the self-adaptive program analyzes and adjusts the charging current value according to the monomer residual capacity, the battery voltage is cut to the lower limit value of the voltage, and the discharge time and the discharge duration are analyzed and corrected according to the standby power time of the battery pack;
the adaptive program starts an execution method of the peak clipping and valley filling scheme: PO1, selecting an adaptive program to run;
PO2, and prompting by an adaptive program to set peak clipping and valley filling operation parameters: the method comprises the following steps of (1) automatically correcting other parameter values except for spare endurance according to analysis results of a last-time discharge analysis system by using a single battery voltage lower limit, a peak discharge time period, a discharge current, a charge time period, a charge current, the spare endurance and the like;
PO3, judging whether the voltage of the single battery meets the conditions in real time, entering P04 if the voltage meets the conditions, jumping to P06 if the voltage does not meet the conditions, and outputting real-time data to an analysis system;
PO4, when the P03 condition is satisfied, automatically starting a peak clipping and valley filling scheme according to preset parameters;
PO5, real-time judging whether the running data reaches the set running parameters, entering P06 if the running data reaches the set values, continuing running the adaptive program if the running data does not reach the set values, and simultaneously sending the real-time running data to the analysis system;
PO6, when the operation data reaches the set data, stopping the peak clipping and valley filling scheme, and waiting for the next adaptive program starting command;
the analysis method of the analysis system comprises the following steps: c01, the analysis system receives the single battery data and the operation data which are output by the system processor in real time;
c02, analyzing the residual capacity of the single battery by adopting a voltage difference method, collecting the voltage of the single battery in real time in the discharging process, comparing the time of the voltage of the single battery when the voltage of the single battery is reduced to a cut-off voltage with the time required by the standard battery when the voltage of the single battery is reduced to the cut-off voltage, and calculating the residual capacity of the current battery, wherein the formula is as follows;
Figure 849270DEST_PATH_IMAGE002
Figure 172935DEST_PATH_IMAGE004
c03, calculating the sustainable discharge time of the battery pack by combining the performance parameters of each battery in the battery pack and the discharge current comprehensively, wherein the formula is as follows;
Figure 670781DEST_PATH_IMAGE006
Figure 534832DEST_PATH_IMAGE008
c04, outputting the analysis result to a self-adaptive program, and adjusting the charging current value and the lower limit value of the battery cut-off voltage according to the residual capacity of the battery by the program; and correcting the discharge time and the discharge duration according to the dischargeable time of the battery pack.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (9)

1. The utility model provides a lead acid battery peak clipping valley filling self-adaptation system which characterized in that: the system comprises a single voltage acquisition device, a current acquisition device, a system processor, an analysis system and an execution device, wherein the single voltage acquisition device and the current acquisition device respectively output acquired battery performance parameters and discharge current parameters to the system processor through a data acquisition system;
the system processor is preset with a peak clipping and valley filling scheme, automatically starts to operate according to the preset peak clipping and valley filling scheme, and outputs a result to the execution device;
the analysis system receives the cell data and operational data output by the system processor in real time.
2. The lead-acid battery peak clipping and valley filling adaptive system according to claim 1, characterized in that: the system processor comprises an adaptive system, the adaptive program starts the peak clipping and valley filling scheme to operate, the adaptive program in the system processor receives battery performance parameters acquired by the monomer voltage acquisition through the data acquisition system through the real-time monitoring processor in the peak clipping and discharging process, and once the battery performance parameters are lower than a standard value, the adaptive program stops the peak clipping and valley filling scheme.
3. The lead-acid battery peak clipping and valley filling adaptive system according to claim 2, characterized in that: and in the operation process of the self-adaptive program, the operation parameters and the acquired data are sent to the analysis system in real time, the analysis result output by the analysis system is received, and when the peak clipping and valley filling scheme stops, the self-adaptive program stores the data of the current discharge time, the current capacity, the current cell voltage and the like into an analysis memory of the analysis system.
4. The lead-acid battery peak clipping and valley filling adaptive system according to claim 2, characterized in that: and the system processor automatically starts operation according to the peak clipping and valley filling scheme preset by the self-adaptive program, and outputs a result to the execution device.
5. The lead-acid battery peak clipping and valley filling adaptive system according to claim 2, characterized in that: the analysis system comprises a monomer residual capacity analysis, wherein the monomer residual capacity analysis adopts a discharge multiplying power and equivalent voltage difference time method, namely, the voltage of a monomer battery is collected in real time in the discharge process, when the voltage of the monomer battery is reduced to a cut-off voltage, the used time is compared with the time required by a standard battery to reduce to the cut-off voltage, and the current battery residual capacity is calculated by combining the discharge multiplying power.
6. The lead-acid battery peak clipping and valley filling adaptive system according to claim 5, characterized in that: the analysis system also comprises a battery pack standby power time analysis, wherein the battery pack standby power time analysis adopts the comprehensive discharge current analysis of each battery performance index in the battery pack, calculates the discharge time of the battery pack and outputs the result to the self-adaptive program of the system processor.
7. The lead-acid battery peak clipping and valley filling adaptive system according to claim 6, characterized in that: and the analysis system outputs an analysis structure to the self-adaptive program, the self-adaptive program analyzes and adjusts the charging current value according to the monomer residual capacity, the battery voltage is cut to the voltage lower limit value, and the discharge time and the discharge duration are analyzed and corrected according to the standby power time of the battery pack.
8. The implementation method of the lead-acid battery peak clipping and valley filling adaptive system according to any one of claims 1 to 7, the implementation method comprises: PO1, selecting an adaptive program to run;
PO2, and prompting by an adaptive program to set peak clipping and valley filling operation parameters: the method comprises the following steps of (1) automatically correcting other parameter values except for spare endurance according to analysis results of a last-time discharge analysis system by using a single battery voltage lower limit, a peak discharge time period, a discharge current, a charge time period, a charge current, the spare endurance and the like;
PO3, judging whether the voltage of the single battery meets the conditions in real time, entering P04 if the voltage meets the conditions, jumping to P06 if the voltage does not meet the conditions, and outputting real-time data to an analysis system;
PO4, when the P03 condition is satisfied, automatically starting a peak clipping and valley filling scheme according to preset parameters;
PO5, real-time judging whether the running data reaches the set running parameters, entering P06 if the running data reaches the set values, continuing running the adaptive program if the running data does not reach the set values, and simultaneously sending the real-time running data to the analysis system;
PO6, when the operation data reaches the set data, stopping the peak clipping and valley filling scheme and waiting for the next adaptive program starting command.
9. The analysis method of the analysis system in the lead-acid battery peak clipping and valley filling adaptive system based on any one of claims 1 to 7 comprises the following steps: c01, the analysis system receives the single battery data and the operation data which are output by the system processor in real time;
c02, analyzing the residual capacity of the single battery by adopting a voltage difference method, collecting the voltage of the single battery in real time in the discharging process, comparing the time of the voltage of the single battery when the voltage of the single battery is reduced to a cut-off voltage with the time required by the standard battery when the voltage of the single battery is reduced to the cut-off voltage, and calculating the residual capacity of the current battery, wherein the formula is as follows;
Figure 405268DEST_PATH_IMAGE001
Figure 73010DEST_PATH_IMAGE002
c03, calculating the sustainable discharge time of the battery pack by combining the performance parameters of each battery in the battery pack and the discharge current comprehensively, wherein the formula is as follows;
Figure 725577DEST_PATH_IMAGE003
Figure 187782DEST_PATH_IMAGE004
c04, outputting the analysis result to a self-adaptive program, and adjusting the charging current value and the lower limit value of the battery cut-off voltage according to the residual capacity of the battery by the program; and correcting the discharge time and the discharge duration according to the dischargeable time of the battery pack.
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CN104795829A (en) * 2015-04-29 2015-07-22 中国电力科学研究院 Energy storage system scheduling method based on peak clipping and valley filling
CN104967136A (en) * 2015-07-09 2015-10-07 杭州中恒电气股份有限公司 Energy storage system based on novel peak load shifting controller
CN105203968A (en) * 2015-10-22 2015-12-30 南京鼎尔特科技有限公司 Lead-acid battery residual energy on-line measuring system
CN109245085A (en) * 2018-10-11 2019-01-18 福建星云电子股份有限公司 DC energy storage backup power supply and control method with peak load shifting function
CN113612269A (en) * 2021-07-02 2021-11-05 国网山东省电力公司莱芜供电公司 Battery monomer charging and discharging control method and system for lead-acid storage battery energy storage station

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020186576A1 (en) * 2001-06-06 2002-12-12 Akihiko Kanouda Backup power supply
CN102073016A (en) * 2009-11-20 2011-05-25 艾默生网络能源系统北美公司 Methods for detecting actual capacity, residual capacity, standby time and health condition of battery
CN102279369A (en) * 2011-07-21 2011-12-14 深圳市核达中远通电源技术有限公司 Intelligent remote online storage battery detection method and system
CN104795829A (en) * 2015-04-29 2015-07-22 中国电力科学研究院 Energy storage system scheduling method based on peak clipping and valley filling
CN104967136A (en) * 2015-07-09 2015-10-07 杭州中恒电气股份有限公司 Energy storage system based on novel peak load shifting controller
CN105203968A (en) * 2015-10-22 2015-12-30 南京鼎尔特科技有限公司 Lead-acid battery residual energy on-line measuring system
CN109245085A (en) * 2018-10-11 2019-01-18 福建星云电子股份有限公司 DC energy storage backup power supply and control method with peak load shifting function
CN113612269A (en) * 2021-07-02 2021-11-05 国网山东省电力公司莱芜供电公司 Battery monomer charging and discharging control method and system for lead-acid storage battery energy storage station

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