CN117825973A - Lithium battery state estimation method and system for distributed energy storage system - Google Patents
Lithium battery state estimation method and system for distributed energy storage system Download PDFInfo
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- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 title claims abstract description 317
- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 317
- 238000004146 energy storage Methods 0.000 title claims abstract description 72
- 238000000034 method Methods 0.000 title claims abstract description 21
- 230000002159 abnormal effect Effects 0.000 claims abstract description 265
- 238000011156 evaluation Methods 0.000 claims abstract description 106
- 238000013210 evaluation model Methods 0.000 claims abstract description 18
- 238000012545 processing Methods 0.000 claims description 21
- 230000001360 synchronised effect Effects 0.000 claims description 21
- 238000012544 monitoring process Methods 0.000 claims description 19
- 230000005856 abnormality Effects 0.000 claims description 17
- 238000004891 communication Methods 0.000 claims description 12
- 230000000712 assembly Effects 0.000 claims description 9
- 238000000429 assembly Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 description 11
- 239000013598 vector Substances 0.000 description 6
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 4
- 239000002131 composite material Substances 0.000 description 4
- 229910001416 lithium ion Inorganic materials 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000012216 screening Methods 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Secondary Cells (AREA)
Abstract
The invention discloses a lithium battery state estimation method and a system for a distributed energy storage system, wherein the method comprises the following steps: determining the serial distribution condition of lithium batteries in a target battery pack in a distributed energy storage system, and configuring a target number of primary battery management components according to the serial distribution condition of the lithium batteries; the working parameters of each lithium battery in the target battery pack are respectively collected by using the primary battery management assembly, abnormal evaluation is carried out on the working parameters, and abnormal lithium batteries are selected according to the evaluation result; uploading target working parameters of the abnormal lithium battery to a secondary battery management assembly, and carrying out state evaluation on the abnormal lithium battery through the target working parameters by utilizing a state evaluation model of the secondary battery management assembly; and emergency control is carried out on the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery. The lithium battery state assessment without errors can be performed in detail based on the strong calculation power of the secondary main control BCMU, the accuracy and the precision of the assessment result are guaranteed, and the practicability is improved.
Description
Technical Field
The invention relates to the technical field of battery monitoring, in particular to a lithium battery state estimation method and system for a distributed energy storage system.
Background
In recent years, along with the rapid development of new energy automobiles, the lithium ion battery technology is also remarkably improved, the energy density is improved year by year, the price is continuously reduced, and the lithium ion battery is an electric energy storage element with great potential in the future. Current large-scale lithium battery energy storage applications still have certain difficulties, facing a series of challenges in terms of safety, cost, etc. The distributed energy storage units are jointly scheduled, so that the method is an important means for fully exerting the application value of the distributed energy storage in the power system. Accurate lithium battery state of charge and state of health remain necessary parameters for achieving efficient scheduling. At present, the state estimation of the energy storage unit on the lithium battery only depends on a battery management system equipped with each distributed energy storage unit, and the equipped BMS is limited by cost, the processor does not have strong computing power, only can run an algorithm with relatively low complexity, so that errors and misjudgment exist in the state estimation of the BMS on the lithium battery, and the practicability is reduced.
Disclosure of Invention
In view of the above-mentioned problems, the present invention provides a method and a system for estimating the state of a lithium battery for a distributed energy storage system, which are used for solving the problems that in the prior art, the state estimation of the lithium battery by the energy storage units only depends on the battery management system equipped with each distributed energy storage unit, the equipped BMS is limited by cost, the processor does not have strong computing power, only can run an algorithm with relatively low complexity, and the error and misjudgment of the state estimation of the lithium battery by the BMS are caused, thereby reducing the practicality.
A lithium battery state estimation method for a distributed energy storage system, comprising the steps of:
determining the serial distribution condition of lithium batteries in a target battery pack in a distributed energy storage system, and configuring a target number of primary battery management components according to the serial distribution condition of the lithium batteries;
the working parameters of each lithium battery in the target battery pack are respectively collected by using the primary battery management assembly, abnormal evaluation is carried out on the working parameters, and abnormal lithium batteries are selected according to the evaluation result;
uploading target working parameters of the abnormal lithium battery to a secondary battery management assembly, and carrying out state evaluation on the abnormal lithium battery through the target working parameters by utilizing a state evaluation model of the secondary battery management assembly;
and emergency control is carried out on the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery.
Preferably, the determining a serial distribution condition of lithium batteries in a target battery pack in the distributed energy storage system configures a target number of primary battery management components according to the serial distribution condition of the lithium batteries, and includes:
determining the number of the series lithium batteries in a target battery pack in the distributed energy storage system, and determining the series distribution condition of the lithium batteries according to the number of the series lithium batteries;
determining the upper limit of the number of the monitored lithium batteries of each primary battery management component according to the serial distribution condition of the lithium batteries and the upper limit number of the monitored lithium batteries of the primary battery management components;
configuring the number of the monitored battery packs of each primary battery management assembly based on the upper limit of the number of the monitored lithium batteries of each primary battery management assembly and the number of the series lithium batteries in the target battery pack;
configuring a target number of primary battery management components according to the number of the monitored battery packs of each primary battery management component and the total number of the target battery packs in the distributed energy storage system;
the target number is a quotient of the total number of target battery packs in the distributed energy storage system and the number of monitoring battery packs of the primary battery management assembly.
Preferably, the step of using the primary battery management component to collect the working parameters of each lithium battery in the target battery pack and perform abnormal evaluation on the working parameters, and selecting an abnormal lithium battery according to the evaluation result includes:
setting acquisition parameter items of the primary battery management assembly and starting corresponding battery monitoring equipment according to the acquisition parameter items;
collecting working parameters corresponding to parameter collection items of each lithium battery in the target battery pack by using battery monitoring equipment;
performing abnormal evaluation on the working parameters of each lithium battery by using a standard parameter set of the parameter acquisition item to obtain an evaluation result;
and selecting the target lithium battery with the abnormal parameter item as an abnormal lithium battery according to the evaluation result.
Preferably, the uploading the target operating parameter of the abnormal lithium battery to the secondary battery management component, and performing state evaluation on the abnormal lithium battery by using the state evaluation model of the secondary battery management component through the target operating parameter includes:
uploading target working parameters of the abnormal lithium battery to a secondary battery management assembly through CAN communication and RS485 communication modes;
performing relevant abnormal state matching according to synchronous abnormal parameter items in target working parameters of the abnormal lithium battery by using a state evaluation model of the secondary battery management component, and obtaining a plurality of matched abnormal states;
determining a state parameter value of each abnormal state, and matching the state parameter value of each abnormal state with the current parameter value of the synchronous abnormal parameter item of the abnormal lithium battery;
and selecting the target abnormal state with the largest matching degree as an evaluation abnormal state of the abnormal lithium battery.
Preferably, the emergency control of the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery includes:
determining the current state of charge of the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery, and determining supportable charge conditions and self risk factors of the abnormal lithium battery based on the current state of charge;
determining the power supply capacity and risk index of the abnormal lithium battery based on supportable charge conditions and risk factors of the abnormal lithium battery;
determining a processing mode of the abnormal lithium battery according to the power supply capacity and the risk index of the abnormal lithium battery, wherein the processing mode comprises the following steps: cutting off the abnormal lithium battery or cutting off the battery pack where the abnormal lithium battery is located;
and emergency control is carried out on the abnormal lithium battery according to the processing mode.
A lithium battery state estimation system for a distributed energy storage system, the system comprising:
the battery assembly configuration module is used for determining the serial distribution condition of lithium batteries in a target battery pack in the distributed energy storage system and configuring a target number of primary battery management assemblies according to the serial distribution condition of the lithium batteries;
the battery parameter abnormality evaluation module is used for respectively acquiring the working parameters of each lithium battery in the target battery pack by using the primary battery management component, performing abnormality evaluation on the working parameters, and selecting abnormal lithium batteries according to the evaluation result;
the lithium battery state evaluation module is used for uploading the target working parameters of the abnormal lithium battery to the secondary battery management assembly, and carrying out state evaluation on the abnormal lithium battery through the target working parameters by utilizing the state evaluation model of the secondary battery management assembly;
and the emergency control module is used for carrying out emergency control on the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery.
Preferably, the battery assembly configuration module includes:
the battery distribution determining submodule is used for determining the number of the lithium batteries in series connection in a target battery pack in the distributed energy storage system and determining the series connection distribution situation of the lithium batteries according to the number of the lithium batteries in series connection;
the battery upper limit determining submodule is used for determining the upper limit of the number of the monitored lithium batteries of each primary battery management assembly according to the serial distribution condition of the lithium batteries and the upper limit number of the monitored primary battery management assemblies;
the battery pack number configuration submodule is used for configuring the number of the monitored battery packs of each primary battery management assembly based on the upper limit of the number of the monitored lithium batteries of each primary battery management assembly and the number of the series lithium batteries in the target battery pack;
a battery management assembly configuration sub-module for configuring a target number of primary battery management assemblies based on the number of monitored battery packs for each primary battery management assembly and the total number of target battery packs in the distributed energy storage system,
the target number is a quotient of the total number of target battery packs in the distributed energy storage system and the number of monitoring battery packs of the primary battery management assembly.
Preferably, the battery parameter abnormality evaluation module includes:
the acquisition parameter setting sub-module is used for setting acquisition parameter items of the primary battery management assembly and starting corresponding battery monitoring equipment according to the acquisition parameter items;
the working parameter acquisition sub-module is used for acquiring working parameters corresponding to parameter acquisition items of each lithium battery in the target battery pack by using the battery monitoring equipment;
the working parameter abnormality evaluation sub-module is used for carrying out abnormality evaluation on the working parameters of each lithium battery by utilizing the standard parameter set of the parameter acquisition item to obtain an evaluation result;
and the abnormal lithium battery selection submodule is used for selecting a target lithium battery with abnormal parameter items as an abnormal lithium battery according to the evaluation result.
Preferably, the lithium battery state evaluation module includes:
the working parameter uploading sub-module is used for uploading the target working parameters of the abnormal lithium battery to the secondary battery management assembly in a CAN communication and RS485 communication mode;
the abnormal state matching sub-module is used for matching related abnormal states according to synchronous abnormal parameter items in target working parameters of the abnormal lithium battery by using a state evaluation model of the secondary battery management assembly, and obtaining a plurality of matched abnormal states;
the parameter value matching sub-module is used for determining a state parameter value of each matching abnormal state and matching the state parameter value of each matching abnormal state with the current parameter value of the synchronous abnormal parameter item of the abnormal lithium battery;
the abnormal state selection sub-module is used for selecting the target abnormal state with the largest matching degree as the evaluation abnormal state of the abnormal lithium battery.
Preferably, the emergency control module includes:
the charge condition and risk factor determination submodule is used for determining the current charge state of the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery, and determining supportable charge conditions and self risk factors of the abnormal lithium battery based on the current charge state;
the abnormal lithium battery state determining submodule is used for determining the electric energy supply capacity and the risk index of the abnormal lithium battery based on supportable charge conditions of the abnormal lithium battery and risk factors of the abnormal lithium battery;
the processing mode determining submodule is used for determining the processing mode of the abnormal lithium battery according to the power supply capacity and the risk index of the abnormal lithium battery, and the processing mode comprises the following steps: cutting off the abnormal lithium battery or cutting off the battery pack where the abnormal lithium battery is located;
and the emergency control sub-module is used for carrying out emergency control on the abnormal lithium battery according to the processing mode.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention.
FIG. 1 is a flow chart of a method for estimating the state of a lithium battery for a distributed energy storage system according to the present invention;
FIG. 2 is another workflow diagram of a method for estimating the state of a lithium battery for a distributed energy storage system according to the present invention;
fig. 3 is a schematic structural diagram of a lithium battery state estimation system for a distributed energy storage system according to the present invention;
fig. 4 is a schematic structural diagram of a battery parameter anomaly evaluation module in a lithium battery state estimation system for a distributed energy storage system according to the present invention.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
In recent years, along with the rapid development of new energy automobiles, the lithium ion battery technology is also remarkably improved, the energy density is improved year by year, the price is continuously reduced, and the lithium ion battery is an electric energy storage element with great potential in the future. Current large-scale lithium battery energy storage applications still have certain difficulties, facing a series of challenges in terms of safety, cost, etc. The distributed energy storage units are jointly scheduled, so that the method is an important means for fully exerting the application value of the distributed energy storage in the power system. Accurate lithium battery state of charge and state of health remain necessary parameters for achieving efficient scheduling. At present, the state estimation of the energy storage unit on the lithium battery only depends on a battery management system equipped with each distributed energy storage unit, and the equipped BMS is limited by cost, the processor does not have strong computing power, only can run an algorithm with relatively low complexity, so that errors and misjudgment exist in the state estimation of the BMS on the lithium battery, and the practicability is reduced. In order to solve the above-mentioned problems, the present embodiment discloses a lithium battery state estimation method for a distributed energy storage system.
A lithium battery state estimation method for a distributed energy storage system, as shown in fig. 1, comprises the following steps:
step S101, determining the serial distribution condition of lithium batteries in a target battery pack in a distributed energy storage system, and configuring a target number of primary battery management components according to the serial distribution condition of the lithium batteries;
step S102, respectively acquiring working parameters of each lithium battery in the target battery pack by using a primary battery management component, carrying out abnormal evaluation on the working parameters, and selecting abnormal lithium batteries according to an evaluation result;
step S103, uploading target working parameters of the abnormal lithium battery to a secondary battery management assembly, and carrying out state evaluation on the abnormal lithium battery through the target working parameters by utilizing a state evaluation model of the secondary battery management assembly;
and step S104, emergency control is carried out on the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery.
In this embodiment, the primary battery management component is a primary slave BMU, and the secondary battery management component is a secondary master BCMU.
The working principle of the technical scheme is as follows: determining the serial distribution condition of lithium batteries in a target battery pack in a distributed energy storage system, and configuring a target number of primary battery management components according to the serial distribution condition of the lithium batteries; the working parameters of each lithium battery in the target battery pack are respectively collected by using the primary battery management assembly, abnormal evaluation is carried out on the working parameters, and abnormal lithium batteries are selected according to the evaluation result; uploading target working parameters of the abnormal lithium battery to a secondary battery management assembly, and carrying out state evaluation on the abnormal lithium battery through the target working parameters by utilizing a state evaluation model of the secondary battery management assembly; and emergency control is carried out on the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery.
The beneficial effects of the technical scheme are as follows: the battery management system is used for collecting working parameters of the lithium battery, the second-level battery management assembly is used for carrying out accurate and detailed state evaluation on the working parameters of the abnormal lithium battery after the abnormal lithium battery is screened, the detailed and error-free lithium battery state evaluation can be carried out based on the strong calculation power of the second-level main control BCMU, the precision and the accuracy of an evaluation result are ensured, the practicability is improved, the problem that the state evaluation of the lithium battery by the energy storage unit in the prior art only depends on the battery management system equipped by each distributed energy storage unit, the equipped BMS is limited by cost, the processor does not have strong calculation capability and can only operate an algorithm with relatively low complexity, so that the error and the erroneous judgment exist in the state evaluation of the lithium battery by the BMS, and the practicability is reduced is solved.
In one embodiment, the determining a serial distribution of lithium batteries in a target battery pack in the distributed energy storage system configures a target number of primary battery management components according to the serial distribution of lithium batteries, including:
determining the number of the series lithium batteries in a target battery pack in the distributed energy storage system, and determining the series distribution condition of the lithium batteries according to the number of the series lithium batteries;
determining the upper limit of the number of the monitored lithium batteries of each primary battery management component according to the serial distribution condition of the lithium batteries and the upper limit number of the monitored lithium batteries of the primary battery management components;
configuring the number of the monitored battery packs of each primary battery management assembly based on the upper limit of the number of the monitored lithium batteries of each primary battery management assembly and the number of the series lithium batteries in the target battery pack;
configuring a target number of primary battery management components according to the number of the monitored battery packs of each primary battery management component and the total number of the target battery packs in the distributed energy storage system;
the target number is a quotient of the total number of target battery packs in the distributed energy storage system and the number of monitoring battery packs of the primary battery management assembly.
The beneficial effects of the technical scheme are as follows: the system can comprehensively ensure the parameter monitoring work of all lithium batteries and simultaneously ensure the upper limit of the quantity of the monitored lithium batteries of the primary battery management assembly, improves the stability and the practicability, and comprehensively realizes the parameter monitoring work of each lithium battery.
In one embodiment, the collecting, by using the primary battery management component, the working parameter of each lithium battery in the target battery pack and performing abnormal evaluation on the working parameter, and selecting an abnormal lithium battery according to the evaluation result, including:
setting acquisition parameter items of the primary battery management assembly and starting corresponding battery monitoring equipment according to the acquisition parameter items;
collecting working parameters corresponding to parameter collection items of each lithium battery in the target battery pack by using battery monitoring equipment;
performing abnormal evaluation on the working parameters of each lithium battery by using a standard parameter set of the parameter acquisition item to obtain an evaluation result;
and selecting the target lithium battery with the abnormal parameter item as an abnormal lithium battery according to the evaluation result.
The beneficial effects of the technical scheme are as follows: by carrying out abnormal evaluation on each lithium battery in a parameter set comparison mode, abnormal lithium batteries can be rapidly and accurately determined based on the working parameter performance values of the lithium batteries, and screening efficiency and practicality are improved.
In one embodiment, as shown in fig. 2, the uploading the target operating parameters of the abnormal lithium battery to the secondary battery management component, and performing the state evaluation on the abnormal lithium battery by using the state evaluation model of the secondary battery management component through the target operating parameters includes:
step S201, uploading target working parameters of the abnormal lithium battery to a secondary battery management assembly through CAN communication and RS485 communication modes;
step S202, performing relevant abnormal state matching according to synchronous abnormal parameter items in target working parameters of an abnormal lithium battery by using a state evaluation model of a secondary battery management component, and obtaining a plurality of matched abnormal states;
step S203, determining a state parameter value of each abnormal state, and matching the state parameter value of each abnormal state with the current parameter value of the synchronous abnormal parameter item of the abnormal lithium battery;
and S204, selecting the target abnormal state with the largest matching degree as the evaluation abnormal state of the abnormal lithium battery.
The beneficial effects of the technical scheme are as follows: the method can ensure the comprehensive and non-omission performance of the state evaluation of the abnormal lithium battery and accurately determine the specific abnormal state at the same time by carrying out the double matching of the abnormal state, thereby further improving the evaluation accuracy and the practicability.
In this embodiment, the state evaluation model of the secondary battery management component is used to perform relevant abnormal state matching according to the synchronous abnormal parameter item in the target working parameters of the abnormal lithium battery, and a plurality of matching abnormal states are obtained, including:
determining a data abnormality exceeding range of the synchronous abnormality parameter item;
determining a data characteristic according to the data value of the synchronous abnormal parameter item, wherein the data characteristic comprises: static trace features and dynamic trace features;
determining the abnormal state type of the abnormal lithium battery according to the data characteristics of the synchronous abnormal parameter items and the abnormal exceeding range, wherein the abnormal state type comprises: steady state abnormal state and dynamic abnormal state;
selecting an abnormal state database based on the abnormal state type of the abnormal lithium battery;
generating a discrete time data sequence according to the abnormal value of the synchronous abnormal data item at the same moment and the abnormal value of the synchronous abnormal data item at the same moment, inputting the discrete time data sequence into an abnormal state database for matching, and obtaining a matching result;
determining a plurality of single matching abnormal states and a composite abnormal matching state according to the matching result;
obtaining an abnormal reference contrast vector of each single matching abnormal state and each composite matching abnormal state;
detecting the current vector value of the abnormal reference comparison vector of the abnormal lithium battery, and screening the target single abnormal state and the target composite abnormal state with consistent vectors from the single matching abnormal state and the composite matching abnormal state according to the consistency condition of the current vector value and the standard vector value.
The beneficial effects of the technical scheme are as follows: the abnormal state type of the abnormal lithium battery can be determined according to the data characteristics of the synchronous abnormal parameter items, so that the abnormal state searching range of the abnormal lithium battery can be rapidly shortened, the searching efficiency is improved, furthermore, the abnormal state according with the parameter change can be more accurately matched through carrying out abnormal state assessment according with the synchronous change condition among various indexes of the synchronous abnormal parameter items, and the matching efficiency and accuracy are improved.
In one embodiment, the emergency control of the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery includes:
determining the current state of charge of the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery, and determining supportable charge conditions and self risk factors of the abnormal lithium battery based on the current state of charge;
determining the power supply capacity and risk index of the abnormal lithium battery based on supportable charge conditions and risk factors of the abnormal lithium battery;
determining a processing mode of the abnormal lithium battery according to the power supply capacity and the risk index of the abnormal lithium battery, wherein the processing mode comprises the following steps: cutting off the abnormal lithium battery or cutting off the battery pack where the abnormal lithium battery is located;
and emergency control is carried out on the abnormal lithium battery according to the processing mode.
The beneficial effects of the technical scheme are as follows: the influence of the abnormal lithium battery on the whole distributed energy storage system can be intuitively determined by determining the processing mode of the abnormal lithium battery according to the supportable charge condition of the abnormal lithium battery and the risk factors of the abnormal lithium battery, so that the influence of the abnormal lithium battery on the whole distributed energy storage system is reasonably controlled, the normal operation of the distributed energy storage system is ensured, the influence risk of the abnormal lithium battery on other batteries is avoided, and the safety and the working efficiency are improved.
In one embodiment, the present embodiment further discloses a lithium battery state estimation system for a distributed energy storage system, as shown in fig. 3, the system includes:
the battery assembly configuration module 301 is configured to determine a serial distribution condition of lithium batteries in a target battery pack in the distributed energy storage system, and configure a target number of primary battery management assemblies according to the serial distribution condition of the lithium batteries;
the battery parameter abnormality evaluation module 302 is configured to collect working parameters of each lithium battery in the target battery pack by using the primary battery management component, perform abnormality evaluation on the working parameters, and select an abnormal lithium battery according to an evaluation result;
the lithium battery state evaluation module 303 is configured to upload a target operating parameter of an abnormal lithium battery to the secondary battery management component, and perform state evaluation on the abnormal lithium battery through the target operating parameter by using a state evaluation model of the secondary battery management component;
the emergency control module 304 is configured to perform emergency control on the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery.
The working principle of the technical scheme is as follows: firstly, determining the serial distribution condition of lithium batteries in a target battery pack in a distributed energy storage system through a battery pack configuration module, and configuring a target number of primary battery management components according to the serial distribution condition of the lithium batteries; secondly, using a battery parameter abnormality evaluation module to respectively acquire working parameters of each lithium battery in the target battery pack by using a primary battery management assembly, performing abnormality evaluation on the working parameters, and selecting an abnormal lithium battery according to an evaluation result; uploading the target working parameters of the abnormal lithium battery to a secondary battery management assembly through a lithium battery state evaluation module, and performing state evaluation on the abnormal lithium battery through the target working parameters by utilizing a state evaluation model of the secondary battery management assembly; and finally, emergency control is carried out on the abnormal lithium battery by using an emergency control module according to the state evaluation result of the abnormal lithium battery.
The beneficial effects of the technical scheme are as follows: the battery management system is used for collecting working parameters of the lithium battery, the secondary battery management assembly is used for carrying out accurate and detailed state evaluation on the working parameters of the abnormal lithium battery after the abnormal lithium battery is screened, the detailed and error-free lithium battery state evaluation can be carried out based on the strong calculation power of the secondary main control BCMU, the precision and the accuracy of an evaluation result are ensured, and the practicability is improved.
In one embodiment, the battery assembly configuration module includes:
the battery distribution determining submodule is used for determining the number of the lithium batteries in series connection in a target battery pack in the distributed energy storage system and determining the series connection distribution situation of the lithium batteries according to the number of the lithium batteries in series connection;
the battery upper limit determining submodule is used for determining the upper limit of the number of the monitored lithium batteries of each primary battery management assembly according to the serial distribution condition of the lithium batteries and the upper limit number of the monitored primary battery management assemblies;
the battery pack number configuration submodule is used for configuring the number of the monitored battery packs of each primary battery management assembly based on the upper limit of the number of the monitored lithium batteries of each primary battery management assembly and the number of the series lithium batteries in the target battery pack;
a battery management assembly configuration sub-module for configuring a target number of primary battery management assemblies based on the number of monitored battery packs for each primary battery management assembly and the total number of target battery packs in the distributed energy storage system,
the target number is a quotient of the total number of target battery packs in the distributed energy storage system and the number of monitoring battery packs of the primary battery management assembly.
The beneficial effects of the technical scheme are as follows: the system can comprehensively ensure the parameter monitoring work of all lithium batteries and simultaneously ensure the upper limit of the quantity of the monitored lithium batteries of the primary battery management assembly, improves the stability and the practicability, and comprehensively realizes the parameter monitoring work of each lithium battery.
In one embodiment, as shown in fig. 4, the battery parameter anomaly evaluation module 302 includes:
the acquisition parameter setting submodule 3021 is used for setting acquisition parameter items of the primary battery management assembly and starting corresponding battery monitoring equipment according to the acquisition parameter items;
an operating parameter acquisition sub-module 3022, configured to acquire, by using the battery monitoring device, an operating parameter corresponding to a parameter acquisition item of each lithium battery in the target battery pack;
the working parameter abnormality evaluation submodule 3023 is used for performing abnormality evaluation on the working parameters of each lithium battery by using a standard parameter set of the parameter acquisition item to obtain an evaluation result;
and the abnormal lithium battery selection submodule 3024 is used for selecting a target lithium battery with abnormal parameter items as an abnormal lithium battery according to the evaluation result.
The beneficial effects of the technical scheme are as follows: by carrying out abnormal evaluation on each lithium battery in a parameter set comparison mode, abnormal lithium batteries can be rapidly and accurately determined based on the working parameter performance values of the lithium batteries, and screening efficiency and practicality are improved.
In one embodiment, the lithium battery state evaluation module includes:
the working parameter uploading sub-module is used for uploading the target working parameters of the abnormal lithium battery to the secondary battery management assembly in a CAN communication and RS485 communication mode;
the abnormal state matching sub-module is used for matching related abnormal states according to synchronous abnormal parameter items in target working parameters of the abnormal lithium battery by using a state evaluation model of the secondary battery management assembly, and obtaining a plurality of matched abnormal states;
the parameter value matching sub-module is used for determining a state parameter value of each matching abnormal state and matching the state parameter value of each matching abnormal state with the current parameter value of the synchronous abnormal parameter item of the abnormal lithium battery;
the abnormal state selection sub-module is used for selecting the target abnormal state with the largest matching degree as the evaluation abnormal state of the abnormal lithium battery.
The beneficial effects of the technical scheme are as follows: the method can ensure the comprehensive and non-omission performance of the state evaluation of the abnormal lithium battery and accurately determine the specific abnormal state at the same time by carrying out the double matching of the abnormal state, thereby further improving the evaluation accuracy and the practicability.
In one embodiment, the emergency control module comprises:
the charge condition and risk factor determination submodule is used for determining the current charge state of the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery, and determining supportable charge conditions and self risk factors of the abnormal lithium battery based on the current charge state;
the abnormal lithium battery state determining submodule is used for determining the electric energy supply capacity and the risk index of the abnormal lithium battery based on supportable charge conditions of the abnormal lithium battery and risk factors of the abnormal lithium battery;
the processing mode determining submodule is used for determining the processing mode of the abnormal lithium battery according to the power supply capacity and the risk index of the abnormal lithium battery, and the processing mode comprises the following steps: cutting off the abnormal lithium battery or cutting off the battery pack where the abnormal lithium battery is located;
and the emergency control sub-module is used for carrying out emergency control on the abnormal lithium battery according to the processing mode.
The beneficial effects of the technical scheme are as follows: the influence of the abnormal lithium battery on the whole distributed energy storage system can be intuitively determined by determining the processing mode of the abnormal lithium battery according to the supportable charge condition of the abnormal lithium battery and the risk factors of the abnormal lithium battery, so that the influence of the abnormal lithium battery on the whole distributed energy storage system is reasonably controlled, the normal operation of the distributed energy storage system is ensured, the influence risk of the abnormal lithium battery on other batteries is avoided, and the safety and the working efficiency are improved.
It will be appreciated by those skilled in the art that the first and second aspects of the present invention refer to different phases of application.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method for estimating the state of a lithium battery for a distributed energy storage system, comprising the steps of:
determining the serial distribution condition of lithium batteries in a target battery pack in a distributed energy storage system, and configuring a target number of primary battery management components according to the serial distribution condition of the lithium batteries;
the working parameters of each lithium battery in the target battery pack are respectively collected by using the primary battery management assembly, abnormal evaluation is carried out on the working parameters, and abnormal lithium batteries are selected according to the evaluation result;
uploading target working parameters of the abnormal lithium battery to a secondary battery management assembly, and carrying out state evaluation on the abnormal lithium battery through the target working parameters by utilizing a state evaluation model of the secondary battery management assembly;
and emergency control is carried out on the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery.
2. The method for estimating a state of lithium batteries of a distributed energy storage system according to claim 1, wherein determining a serial distribution of lithium batteries in a target battery pack in the distributed energy storage system, configuring a target number of primary battery management components according to the serial distribution of lithium batteries, comprises:
determining the serial distribution condition of lithium batteries according to the number of the serial lithium batteries in a target battery pack in the distributed energy storage system;
and configuring a target number of primary battery management components according to the serial distribution condition of the lithium batteries and the monitoring upper limit number of the primary battery management components.
3. The method for estimating a state of a lithium battery of a distributed energy storage system according to claim 1, wherein the step of collecting and performing an abnormal evaluation on each lithium battery in the target battery pack by using the primary battery management component, and selecting an abnormal lithium battery according to the evaluation result, comprises:
determining a parameter acquisition item for the lithium batteries and acquiring working parameters corresponding to the parameter acquisition item of each lithium battery in the target battery pack;
performing abnormal evaluation on the working parameters of each lithium battery by using a standard parameter set of the parameter acquisition item to obtain an evaluation result;
and selecting the target lithium battery with the abnormal parameter item as an abnormal lithium battery according to the evaluation result.
4. The method for estimating the state of a lithium battery of a distributed energy storage system according to claim 1, wherein uploading the target operating parameters of the abnormal lithium battery to the secondary battery management component and performing the state estimation of the abnormal lithium battery by using the state estimation model of the secondary battery management component through the target operating parameters comprises:
uploading target working parameters of the abnormal lithium battery to a secondary battery management assembly through CAN communication and RS485 communication modes;
and determining a synchronous abnormal parameter item according to the target working parameter of the abnormal lithium battery by using a state evaluation model of the secondary battery management assembly, and evaluating the abnormal state of the abnormal lithium battery according to the synchronous abnormal parameter item.
5. The method for estimating a state of a lithium battery of a distributed energy storage system according to claim 1, wherein the emergency control of the abnormal lithium battery according to the state estimation result of the abnormal lithium battery comprises:
determining the current state of charge of the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery, and selecting a processing mode based on the current state of charge;
and emergency control is carried out on the abnormal lithium battery according to the processing mode.
6. A lithium battery state estimation system for a distributed energy storage system, the system comprising:
the battery assembly configuration module is used for determining the serial distribution condition of lithium batteries in a target battery pack in the distributed energy storage system and configuring a target number of primary battery management assemblies according to the serial distribution condition of the lithium batteries;
the battery parameter abnormality evaluation module is used for respectively acquiring the working parameters of each lithium battery in the target battery pack by using the primary battery management component, performing abnormality evaluation on the working parameters, and selecting abnormal lithium batteries according to the evaluation result;
the lithium battery state evaluation module is used for uploading the target working parameters of the abnormal lithium battery to the secondary battery management assembly, and carrying out state evaluation on the abnormal lithium battery through the target working parameters by utilizing the state evaluation model of the secondary battery management assembly;
and the emergency control module is used for carrying out emergency control on the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery.
7. The lithium battery state estimation system for a distributed energy storage system of claim 6, wherein the battery assembly configuration module comprises:
the battery distribution determining submodule is used for determining the serial distribution condition of the lithium batteries according to the number of the lithium batteries in the target battery pack in the distributed energy storage system;
the battery management assembly configuration submodule is used for configuring target number of primary battery management assemblies according to the serial distribution condition of the lithium batteries and the monitoring upper limit number of the primary battery management assemblies.
8. The lithium battery state estimation system for a distributed energy storage system of claim 6, wherein the battery parameter anomaly evaluation module comprises:
the acquisition parameter setting sub-module is used for setting acquisition parameter items of the primary battery management assembly and starting corresponding battery monitoring equipment according to the acquisition parameter items;
the working parameter acquisition sub-module is used for determining a parameter acquisition item for the lithium batteries and acquiring working parameters corresponding to the parameter acquisition item of each lithium battery in the target battery pack;
the working parameter abnormality evaluation sub-module is used for carrying out abnormality evaluation on the working parameters of each lithium battery by utilizing the standard parameter set of the parameter acquisition item to obtain an evaluation result;
and the abnormal lithium battery selection submodule is used for selecting a target lithium battery with abnormal parameter items as an abnormal lithium battery according to the evaluation result.
9. The lithium battery state estimation system for a distributed energy storage system of claim 6, wherein the lithium battery state estimation module comprises:
the working parameter uploading sub-module is used for uploading the target working parameters of the abnormal lithium battery to the secondary battery management assembly in a CAN communication and RS485 communication mode;
and the evaluation sub-module is used for determining a synchronous abnormal parameter item according to the target working parameters of the abnormal lithium battery by using a state evaluation model of the secondary battery management component, and evaluating the abnormal state of the abnormal lithium battery according to the synchronous abnormal parameter item.
10. The lithium battery state estimation system for a distributed energy storage system of claim 6, wherein the emergency control module comprises:
the processing mode determining submodule is used for determining the current state of charge of the abnormal lithium battery according to the state evaluation result of the abnormal lithium battery and selecting a processing mode based on the current state of charge;
and the emergency control sub-module is used for carrying out emergency control on the abnormal lithium battery according to the processing mode.
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