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Characterization and quantification of multi-field coupling in lithium-ion batteries under mechanical constraints

Journal of Energy Chemistry 2024年第8期95卷 364-379,I0009页

作者： Xue Cai Caiping Zhang Zeping Chen Linjing Zhang dirk uwe sauer Weihan Li National Active Distribution Network Technology Research Center Beijing Jiaotong UniversityBeijing 100044China Chair for Electrochemical Energy Conversion and Storage Systems Institute for Power Electronics and Electrical Drives(ISEA)RWTH Aachen UniversityCampus Boulevard 8952074 AachenGermany Center for Ageing Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems(CARL)Campus-Boulevard 8952074 AachenGermany Juelich Aachen Research Alliance JARA-EnergyAachenGermany Helmholtz Institute Münster(HI MS) IEK-12Forschungszentrum JülichGermany

The safety and durability of lithium-ion batteries under mechanical constraints depend significantly on electrochemical,thermal,and mechanical fields in *** and quantifying the multi-field coupling behaviors requires interdisciplinary ***,we design experiments under mechanical constraints and introduce an in-situ analytical framework to clarify the complex interaction mechanisms and coupling degrees among multi-physics *** proposed analytical framework integrates the parameterization of equivalent models,in-situ mechanical analysis,and quantitative assessment of coupling *** results indicate that the significant impact of pressure on impedance at low temperatures results from the diffusion-controlled step,enhancing kinetics when external pressure,like 180 to 240 k Pa at 10℃,is *** diversity in control steps for the electrochemical reaction accounts for the varying impact of pressure on battery performance across different *** thermal expansion rate suggests that the swelling force varies by less than 1.60%per unit of elevated temperature during the lithiation *** introducing a composite metric,we quantify the coupling correlation and intensity between characteristic parameters and physical fields,uncovering the highest coupling degree in electrochemical-thermal *** results underscore the potential of analytical approaches in revealing the mechanisms of interaction among multi-fields,with the goal of enhancing battery performance and advancing battery management.

关键词： Lithium-ion battery Muti-field coupling Mechanical constraints Interaction mechanisms Quantitative analysis

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Unlocking the potential of unlabeled data:Self-supervised machine learning for battery aging diagnosis with real-world field data

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Journal of Energy Chemistry 2024年第12期99卷 681-691页

作者： Qiao Wang Min Ye Sehriban Celik Zhongwei Deng Bin Li dirk uwe sauer Weihan Li National Engineering Research Center for Highway Maintenance Equipment Chang'an UniversityXi'an 710064ShanxiChina Key Laboratory of Road Construction Technology and Equipment of MOE Chang'an UniversityXi'an 710064ShanxiChina School of Automobile Chang'an UniversityXi'an 710064ShanxiChina Chair for Electrochemical Energy Conversion and Storage Systems Institute for Power Electronics and Electrical Drives(ISEA)RWTH Aachen University52074 AachenGermany Center for Ageing Reliability and Lifetime Prediction of Electrochemical and Power Electronics Systems(CARL)RWTH Aachen University52074 AachenGermany Jülich Aachen Research Alliance JARA-Energy52074 AachenGermany Helholtz Institute Münster(HI MS) Forschungszentrum Jülich52425 JülichGermany School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu 611731SichuanChina

Accurate aging diagnosis is crucial for the health and safety management of lithium-ion batteries in electric *** significant advancements achieved by data-driven methods,diagnosis accuracy remains constrained by the high costs of check-up tests and the scarcity of labeled *** paper presents a framework utilizing self-supervised machine learning to harness the potential of unlabeled data for diagnosing battery aging in electric vehicles during field *** validate our method using battery degradation datasets collected over more than two years from twenty real-world electric *** analysis comprehensively addresses cell inconsistencies,physical interpretations,and charging uncertainties in real-world *** is achieved through self-supervised feature extraction using random short charging sequences in the main peak of incremental capacity *** leveraging inexpensive unlabeled data in a self-supervised approach,our method demonstrates improvements in average root mean square errors of 74.54%and 60.50%in the best and worst cases,respectively,compared to the supervised *** work underscores the potential of employing low-cost unlabeled data with self-supervised machine learning for effective battery health and safety management in realworld scenarios.

关键词： Lithium-ion battery Aging diagnosis Self-supervised Machine learning Unlabeled data

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Internal short circuit evaluation and corresponding failure mode analysis for lithium-ion batteries

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Journal of Energy Chemistry 2021年第10期30卷 269-280,I0008页

作者： Lishuo Liu Xuning Feng Christiane Rahe Weihan Li Languang Lu Xiangming He dirk uwe sauer Minggao Ouyang State Key Laboratory of Automotive Safety and Energy Tsinghua UniversityBeijing 100084China Chair for Electrochemical Energy Conversion and Storage Systems Institute for Power Electronics and Electrical Drives(ISEA)RWTH Aachen UniversityJaegerstrasse 17/19Aachen 52066Germany Institute of Nuclear and New Energy Technology Tsinghua UniversityBeijing 100084China

Internal short circuit(ISC)is the major failure problem for the safe application of lithium-ion batteries,especially for the batteries with high energy ***,how to quantify the hazard aroused by the ISC,and what kinds of ISC will lead to thermal runaway are still *** paper investigates the thermal-electrical coupled behaviors of ISC,using batteries with Li(Ni_(1/3)CO_(1/3)Mn_(1/3))O_(2) cathode and composite *** electrochemical impedance spectroscopy of customized battery that has no LiPF6 salt is utilized to standardize the resistance of ***,this paper compares the thermal-electrical coupled behaviors of the above four types of ISC at different *** is an area expansion phenomenon for the aluminum-anode type of *** expansion effect of the failure area directly links to the melting and collapse of separator,and plays an important role in further evolution of thermal *** work provides guidance to the development of the ISC models,detection algorithms,and correlated countermeasures.

关键词： Energy storage Lithium-ion battery Battery safety Internal short circuit Thermal runaway

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Public Charging Infrastructure in Germany–A Utilization and Profitability Analysis

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Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1750-1760页

作者： Benedict J.Mortimer Amandus Dominik Bach Christopher Hecht dirk uwe sauer Rik W.De Doncker Institute for Power Generation and Storage Systems at the E.ON Energy Research Center RWTH Aachen UniversityAachenGermany

The current increase in the number of electric vehicles in Germany requires an adequately developed charging *** numbers of public and semi-public charging stations are necessary to ensure sufficient coverage of charging *** order to make the installation worthwhile for the mostly private operators as well as public ones,a sufficient utilization is *** paper gives an overview of the differences in the utilization across the public charging infrastructure in *** this end,a dataset on the utilization of 21164 public and semi-public charging stations in Germany is *** installation and operating costs of various charging stations are modeled and economically evaluated in combination with the utilization *** is shown that in 2019-2020,the average utilization in Germany was rather low,albeit with striking regional *** consider future scenarios allowing the regional development forecasting of economic *** is demonstrated that a growth in electric mobility of 20%-30%per year leads to a large number of economically feasible charging parks in urban agglomeration areas.

关键词： Charging infrastructure charging station utilization electromobility economic analysis

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Nonlinear health evaluation for lithium-ion battery within full-lifespan

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Journal of Energy Chemistry 2022年第9期31卷 333-341,I0010页

作者： Heze You Jiangong Zhu Xueyuan Wang Bo Jiang Hao Sun Xinhua Liu Xuezhe Wei Guangshuai Han Shicong Ding Hanqing Yu Weihan Li dirk uwe sauer Haifeng Dai School of Automotive Studies Tongji UniversityShanghai 201804China National Fuel Cell Vehicle&Powertrain System Research&Engineering Center Shanghai 201804China Institute for Advanced Study Tongji UniversityShanghai 200092China Shanghai AI NEV Innovative Platform Co. Ltd.Shanghai 201804China School of Transportation Science and Engineering Beihang UniversityBeijing 100191China Chair for Electrochemical Energy Conversion and Storage Systems Institute for Power Electronics and Electrical Drives(ISEA)RWTH Aachen UniversityAachen 52062Germany

Lithium-ion batteries(LIBs), as the first choice for green batteries, have been widely used in energy storage, electric vehicles, 3C devices, and other related fields, and will have greater application prospects in the future. However, one of the obstacles hindering the future development of battery technology is how to accurately evaluate and monitor battery health, which affects the entire lifespan of battery use. It is not enough to assess battery health comprehensively through the state of health(SoH) alone, especially when nonlinear aging occurs in onboard applications. Here, for the first time, we propose a brand-new health evaluation indicator—state of nonlinear aging(SoNA) to explain the nonlinear aging phenomenon that occurs during the battery use, and also design a knee-point identification method and two SoNA quantitative methods. We apply our health evaluation indicator to build a complete LIB full-lifespan grading evaluation system and a ground-to-cloud service framework, which integrates multi-scenario data collection, multi-dimensional data-based grading evaluation, and cloud management functions. Our works fill the gap in the LIBs’ health evaluation of nonlinear aging, which is of great significance for the health and safety evaluation of LIBs in the field of echelon utilization such as vehicles and energy storage. In addition, this comprehensive evaluation system and service framework are expected to be extended to other battery material systems other than LIBs, yet guiding the design of new energy ecosystem.

关键词： Lithium-ion battery State of nonlinear aging Knee-point Grading evaluation system Echelon utilization

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德国家用光伏系统储能预测及运行策略

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住宅科技 2020年第6期40卷 73-77页

作者：陈超逸 Georg Angenendt dirk uwe sauer 上海建科工程咨询有限公司亚琛工业大学

为了缓解电网压力,德国KfW集团为光伏电池储能系统(PV BESS)提供了一个新的资助计划,要求光伏入网功率不超过光伏发电设备额定功率的50%。文章通过对某栋德国居民建筑的家用光伏电池储能系统进行建模仿真,比较了几种不同的基于预测的运... 详细信息

为了缓解电网压力,德国KfW集团为光伏电池储能系统(PV BESS)提供了一个新的资助计划,要求光伏入网功率不超过光伏发电设备额定功率的50%。文章通过对某栋德国居民建筑的家用光伏电池储能系统进行建模仿真,比较了几种不同的基于预测的运行策略。研究结果表明,基于预测的运行策略减少了能源的浪费,从而降低了平准化度电成本,采用可变入网限制可以进一步提高家用光伏电池储能系统经济效益。由于入网限制而产生的额外成本可以由KfW提供的资金来补偿。

关键词：家用光伏系统运行策略入网功率限制能源自产自销电池储能系统

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