WO2013082955A1 - 一种锂离子电池运行状态评估分析系统 - Google Patents

一种锂离子电池运行状态评估分析系统 Download PDF

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Publication number
WO2013082955A1
WO2013082955A1 PCT/CN2012/081072 CN2012081072W WO2013082955A1 WO 2013082955 A1 WO2013082955 A1 WO 2013082955A1 CN 2012081072 W CN2012081072 W CN 2012081072W WO 2013082955 A1 WO2013082955 A1 WO 2013082955A1
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Prior art keywords
lithium ion
analysis system
ion battery
battery
database
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English (en)
French (fr)
Inventor
郭剑波
官亦标
金翼
陈川
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China Electric Power Research Institute Co Ltd CEPRI
State Grid Corp of China SGCC
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China Electric Power Research Institute Co Ltd CEPRI
State Grid Corp of China SGCC
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    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/05—Accumulators with non-aqueous electrolyte
    • H01M10/052—Li-accumulators
    • H01M10/0525—Rocking-chair batteries, i.e. batteries with lithium insertion or intercalation in both electrodes; Lithium-ion batteries
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • 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
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
    • 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

Definitions

  • the present invention relates to the field of battery energy storage technology, and in particular to a lithium ion battery operating state evaluation and analysis system.
  • lithium ion batteries are in the stage of demonstration operation in large-scale energy storage and electric vehicle applications, and the demand for ensuring safe operation is becoming more and more urgent.
  • the battery exhibits electrical and safety degradation over its entire life cycle and exhibits a variety of operating conditions. If some batteries in a large-scale lithium-ion battery system deviate from the normal operating state, it will bring serious safety hazards to the whole system. These abnormal states are difficult to make timely and accurate judgments and early warnings through simple monitoring.
  • the current evaluation method is based on traditional external parameters such as voltage, current, temperature and other mathematical model predictions.
  • the mathematical models summarized are based on empirical values, and the model standard curve is difficult to effectively correspond to the actual operating state of the battery.
  • the monitoring of the operating state of the battery cannot be realized in essence, and the requirements for evaluating the operating state of the battery for the large-scale application of the lithium ion battery cannot be satisfied.
  • the degradation of the electrical and safety performance of lithium-ion batteries is due to the deterioration of the internal physical and chemical reactions of the battery.
  • the current monitoring and management strategies for battery applications can only be directed to their external characteristic parameters and apparent phenomena, but not for the actual battery operation.
  • the core characteristic parameters of the state change have not yet ensured the absolute safety of lithium-ion batteries, especially for the large-scale application of lithium-ion batteries.
  • the present invention provides a lithium ion battery operating state evaluation and analysis system, which combines the external characteristic parameters of the battery with the internal physical and chemical indicators of the battery to establish a coupling relationship between the internal and external characteristics of the lithium ion battery.
  • the real evaluation of the operating state of the lithium-ion battery in large-scale applications can provide early warning of lithium-ion batteries with potential safety hazards and severe performance differentiation, effectively ensuring safe, stable and reliable operation of the battery.
  • the present invention provides a lithium ion battery operating state evaluation and analysis system, which is improved in that, based on a coupling relationship between internal and external characteristics of a lithium ion battery, the analysis system includes: a parallel setting operation state Evaluation database unit, operating state non-destructive testing
  • the operating state evaluation database unit includes a raw data storage and backup database, a basic feature database, and a state evaluation database that are sequentially connected.
  • the original data storage and the backup database store and back up the original data, where the original data includes factory information, experimental data of various test terminals, and operation data of various applications. .
  • the basic feature database automatically processes and analyzes the original data, and stores the change trend of various parameters and the relationship between the parameters during the historical operation of the battery.
  • the status evaluation database is a status evaluation database established for status characteristic parameters of a specific type of battery.
  • the coupling relationship refers to a mutual influence relationship and a variation law between the internal and external characteristic parameters of the lithium ion battery.
  • the operating state diagnostic analysis system compares the measured parameter values with the database after determining the characteristic parameter thresholds corresponding to different operating states of the lithium ion battery for different applications. Compare the quantitative parameter values, or compare the qualitative change rules or trends, and judge whether the battery status is normal through the threshold.
  • the lithium ion battery operating state includes a quantitative or qualitative description of electrochemical performance, life, safety, and environmental adaptability of the lithium ion battery.
  • the operating state non-destructive testing device is developed for a characteristic parameter of a lithium ion battery operating state, and the lithium ion battery is compared with the prior art at a use site, and the present invention provides one A lithium-ion battery operating state evaluation and analysis system, which does not affect the operation of the battery during on-line detection, and does not cause any damage to the battery during off-line detection, based on the coupling relationship between the internal and external characteristics of the lithium ion battery, and establishes the state of the lithium ion battery.
  • FIG. 1 is a schematic structural view of a lithium ion battery operating state evaluation and analysis system. detailed description
  • the evaluation method of the lithium ion battery operating state evaluation and analysis system is based on the coupling relationship between the internal and external characteristics of the lithium ion battery, and the characteristic parameters characterizing the operating state of the lithium ion battery are proposed, and lithium is built around the characteristic parameters.
  • the ion battery state evaluation database is combined with a lithium ion battery state non-destructive testing device and a lithium ion battery operating state diagnostic analysis system to construct a lithium ion battery operating state evaluation and analysis system.
  • the coupling relationship reveals the mutual influence relationship and variation law between the internal and external characteristic parameters of the battery.
  • the characteristic parameters proposed on this basis are easy to measure without loss.
  • the database is based on a smart, open concept and is scalable.
  • the database is divided into three levels, one is the storage and backup database of the original data, the second is based on the primary analysis of the original data, and is the basic feature database, and the third level is for the specific type of battery.
  • State evaluation database established by state feature parameters. Functionally, the primary database solves the storage and backup of raw data, including factory information, experimental data of various test terminals, and operational data of various applications; the secondary database solves the original data. Automated processing and analysis, at the same time, the mature research conclusions can also be directly entered, and the storage will be
  • the library solves the further deep mining of data for specific application requirements.
  • the level database is composed of state characteristic parameters, characteristic parameters of the battery under different working conditions, and characteristic curves corresponding to the whole life cycle process. There are quantitative values, as well as qualitative changes or trends over a specific period of time. These data information can provide baseline and boundary conditions for state diagnostic analysis.
  • the state nondestructive testing equipment is developed for the characteristic parameters of the operating state of the lithium ion battery, and the device for on-line or off-line detection of the lithium ion battery at the use site does not affect the operation of the battery during on-line detection, and does not cause any damage to the battery during off-line detection. .
  • the state diagnosis analysis system is for different applications.
  • the threshold value of the characteristic parameters corresponding to different operating states of the battery After determining the threshold value of the characteristic parameters corresponding to different operating states of the battery, comparing the measured parameter values with the database, the quantitative parameter values can be compared, and the qualitative change rules can also be compared. Or trend, through the threshold to determine the normal state of the battery.
  • an operational state evaluation of a lithium ion battery in a large-scale application field such as power storage, electric vehicles, and the like is performed.
  • the lithium ion battery operating state evaluation analysis system includes at least a state evaluation database, a non-destructive testing device, and a diagnostic analysis system.
  • the lithium ion battery operating state includes, but is not limited to, a quantitative or qualitative description of the electrochemical performance, life, safety, environmental adaptability, and the like of the lithium ion battery.
  • the lithium ion battery operating state evaluation method is based on the coupling relationship between the internal and external characteristics of the lithium ion battery.
  • the lithium ion battery operating state evaluation method uses the state evaluation database as an important evaluation basis.
  • the database is designed based on an intelligent, open concept and is scalable. It can realize the storage and backup of massive data, basic feature analysis, and self-improvement and optimization through continuous learning and accumulation. It can establish a corresponding professional status evaluation database for different types of lithium-ion batteries.

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Manufacturing & Machinery (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Secondary Cells (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Materials Engineering (AREA)
  • Tests Of Electric Status Of Batteries (AREA)

Abstract

本发明提供了一种锂离子电池运行状态评估分析系统，以锂离子电池内外特性之间的耦合关系为基础，所述分析系统包括：并列设置的运行状态评估数据库单元、运行状态无损检测设备和运行状态诊断分析系统。本发明提供的锂离子电池运行状态评估分析系统，将电池外特性参数与电池的内部理化指标结合起来，建立起锂离子电池内外特性之间的耦合关系，得到锂离子电池规模化应用时运行状态的真实评估，能够提前对存在安全隐患以及性能分化严重的锂离子电池进行预警，有效保障电池安全稳定可靠运行。

Description

一种锂离子电池运行状态评估分析系统 技术领域 本发明属于电池储能技术领域， 具体涉及一种锂离子电池运行状态评 估分析系统。
背景技术 当前，锂离子电池在大规模储能以及电动汽车应用正处于示范运行阶 段， 对保障安全运行的需求越来越迫切。 电池在其全寿命周期内会出现电 性能以及安全性能退化， 并表现出各种不同的运行状态。 如果规模化应用 的锂离子电池系统中某些电池偏离了正常的运行状态， 会给整个系统带来 严重的安全隐患， 而这些非正常状态通过简单的监控很难做到及时准确的 判断和预警。 当前的评估方法是以传统的电压、 电流、 温度等外特性参数 结合数学模型预测为基础， 其总结的数学模型均是基于经验值， 其模型标 准曲线很难与电池的实际运行状态有效对应， 因此不能从本质上实现对电 池运行状态的监测， 无法满足锂离子电池规模化应用对电池运行状态评估 的要求。 锂离子电池的电性能以及安全性能退化， 其本质是电池内部理化 反应的恶化， 当前电池应用过程中的监控和管理策略只能针对其外特性参 数和表观现象， 而没有针对真正引起电池运行状态变化的核心特征参数， 造成目前仍然无法保证锂离子电池的绝对安全， 特别是对于锂离子电池的 规模化应用。
发明内容 为克服上述缺陷， 本发明提供了一种锂离子电池运行状态评估分析系 统， 将电池外特性参数与电池的内部理化指标结合起来， 建立起锂离子电 池内外特性之间的耦合关系， 得到锂离子电池规模化应用时运行状态的真 实评估， 能够提前对存在安全隐患以及性能分化严重的锂离子电池进行预 警， 有效保障电池安全稳定可靠运行。
为实现上述目的，本发明提供一种锂离子电池运行状态评估分析系统， 其改进之处在于， 以锂离子电池内外特性之间的耦合关系为基础， 所述分 析系统包括： 并列设置的运行状态评估数据库单元、 运行状态无损检测设 本发明提供的优选技术方案中， 所述运行状态评估数据库单元包括依 次连接的原始数据存储与备份数据库、基本特征数据库和状态评估数据库。
本发明提供的第二优选技术方案中， 所述原始数据存储与备份数据库 对原始数据进行存储和备份， 所述原始数据包括出厂信息、 各种测试终端 的实验数据以及各种应用场合的运行数据。
本发明提供的第三优选技术方案中， 所述基本特征数据库对原始数据 进行自动化处理和分析， 并将电池历史运行过程中各种参数的变化趋势及 参数之间的关联关系进行存储。
本发明提供的第四优选技术方案中， 所述状态评估数据库是针对具体 类型电池的状态特征参数建立的状态评估数据库。
本发明提供的第五优选技术方案中， 所述耦合关系是指锂离子电池内 外特性参数之间的相互影响关系和变化规律。
本发明提供的第六优选技术方案中， 所述运行状态诊断分析系统针对 不同的应用场合， 在确定锂离子电池的不同运行状态对应的特征参数阈值 后， 将实测参数值与数据库进行对比分析， 比较定量的参数值， 或者比较 定性的变化规律或趋势， 通过阈值来判断电池状态是否正常。
本发明提供的第七优选技术方案中， 所述锂离子电池运行状态包括对 锂离子电池的电化学性能、寿命、 安全性和环境适应性的定量或定性描述。
本发明提供的第八优选技术方案中， 所述运行状态无损检测设备是针 对锂离子电池运行状态的特征参数开发的、 在使用现场对锂离子电池进行 与现有技术比，本发明提供的一种锂离子电池运行状态评估分析系统， 在线检测时不影响电池的运行， 离线检测时也不对电池进行任何破坏， 以 锂离子电池内外特性之间的耦合关系为基础， 并通过建立锂离子电池状态 评估数据库的方式来建立电池运行状态评估方法， 从理论上保证规模化应 用的锂离子电池运行状态评估的真实准确性； 而且可以针对不同类型锂离 子电池建立对应的状态评估数据库， 使锂离子电池运行状态评估具有专业 性和可操作性； 运行状态评估数据库单元基于智能、 开放理念设计， 并具 有可扩展性； 再者， 在架构上有利于海量电池运行数据的处理与利用； 在 功能上， 可实现对锂离子电池运行数据和特性持续深入的积累， 从而可以 持续完善与优化状态评估数据库， 进而可以不断提高后续锂离子电池状态 评估的准确率。 附图说明 图 1为锂离子电池运行状态评估分析系统的结构示意图。 具体实施方式
如图 1所示， 锂离子电池运行状态评估分析系统所涉及的评估方法以 锂离子电池内外特性之间的耦合关系为基础， 从中提出表征锂离子电池运 行状态的特征参数， 围绕特征参数建立锂离子电池状态评估数据库， 并结 合锂离子电池状态无损检测设备以及锂离子电池运行状态诊断分析系统构 建锂离子电池运行状态评估分析系统。 其中， 耦合关系揭示的是电池内外特性参数之间的相互影响关系和变 化规律， 在此基础上提出的特征参数易于无损测量。 数据库基于智能、 开放理念设计， 具有可扩展性。 在架构上， 数据库 分为三级， 一级是原始数据的存储与备份数据库， 二级是建立在对原始数 据的初级分析的基础上， 是基本特征数据库， 三级则是针对具体类型电池 的状态特征参数建立的状态评估数据库。 在功能上， 一级数据库解决的是 原始数据的存储和备份， 这些数据来源包括出厂信息、 各种测试终端的实 验数据、 各种应用场合的运行数据； 二级数据库解决的是对原始数据的自 动化处理和分析， 同时， 也可将成熟的研究结论直接录入， 其存储的将是
库解决的是针对具体应用需求对数据的进一步深度挖掘， 具体地说， 该级 数据库是围绕状态特征参数， 由不同工况下电池的特征参数值、 全寿命周 期过程对应的特征曲线组成， 既有定量的数值， 也有特定周期范围内定性 的变化规律或趋势， 这些数据信息可以为状态诊断分析提供基准和边界条 件。 状态无损检测设备是针对锂离子电池运行状态的特征参数开发的、 在 使用现场对锂离子电池进行在线或离线检测的设备， 在线检测时不影响电 池的运行， 离线检测时也不对电池进行任何破坏。 状态诊断分析系统则是针对不同的应用场合， 在确定电池不同运行状 态对应的特征参数阈值后， 将实测参数值与数据库进行对比分析， 即可比 较定量的参数值， 也可以比较定性的变化规律或趋势， 通过阈值来判断电 池状态的正常与否。 如上所述， 通过构建锂离子电池运行状态评估分析系统， 来对电力系 统储能、 电动汽车等规模化应用领域的锂离子电池进行运行状态评估。
所述的锂离子电池运行状态评估分析系统至少包含状态评估数据库、 无损检测设备、 诊断分析系统。
所述的锂离子电池运行状态包括但不限于锂离子电池的电化学性能、 寿命、 安全性、 环境适应性等指标的定量或定性描述。
所述的锂离子电池运行状态评估方法以锂离子电池内外特性之间的耦 合关系作为理论基础。
所述的锂离子电池运行状态评估方法以状态评估数据库作为重要的评 估依据。
所述的数据库基于智能、 开放理念设计， 具有可扩展性。 可实现海量 数据的存储与备份、 基本特征分析， 并可通过持续的学习与积累实现自我 完善与优化， 可以针对不同类型的锂离子电池建立与之对应的专业化状态 评估数据库。
需要声明的是，本发明内容及具体实施方式意在证明本发明所提供技 术方案的实际应用， 不应解释为对本发明保护范围的限定。 本领域技术人 员在本发明的精神和原理启发下， 可作各种修改、 等同替换、 或改进。 但 这些变更或修改均在申请待批的保护范围内。

Claims

1、 一种锂离子电池运行状态评估分析系统， 其特征在于， 以锂离子电 池内外特性之间的耦合关系为基础， 所述分析系统包括： 并列设置的运行
2、 根据权利要求 1所述的分析系统， 其特征在于， 所述运行状态评估 数据库单元包括依次连接的原始数据存储与备份数据库、 基本特征数据库 和状态评估数据库。
3、 根据权利要求 2所述的分析系统， 其特征在于， 所述原始数据存储 与备份数据库对原始数据进行存储和备份， 所述原始数据包括出厂信息、 各种测试终端的实验数据以及各种应用场合的运行数据。
4、 根据权利要求 2所述的分析系统， 其特征在于， 所述基本特征数据 库对原始数据进行自动化处理和分析， 并将电池历史运行过程中各种参数 的变化趋势及参数之间的关联关系进行存储。
5、 根据权利要求 2所述的分析系统， 其特征在于， 所述状态评估数据 库是针对具体类型电池的状态特征参数建立的状态评估数据库。
6、 根据权利要求 1所述的分析系统， 其特征在于， 所述耦合关系是指 锂离子电池内外特性参数之间的相互影响关系和变化规律。
7、 根据权利要求 1所述的分析系统， 其特征在于， 所述运行状态诊断 分析系统针对不同的应用场合， 在确定锂离子电池的不同运行状态对应的 特征参数阈值后， 将实测参数值与数据库进行对比分析， 比较定量的参数 值， 或者比较定性的变化规律或趋势， 通过阈值来判断电池状态是否正常。
8、 根据权利要求 7所述的分析系统， 其特征在于， 所述锂离子电池运 行状态包括对锂离子电池的电化学性能、 寿命、 安全性和环境适应性的定
^ 9, 根据权利要求 1所述的分析系统， 其特征在于， 所述运行状态无损 检测设备是 对锂，子电池 行状态的特征参数开发的、 在使用现场对锂
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