On-Board Analysis of Degradation Mechanisms of Lithium-Ion Battery Using Differential Voltage Analysis

Reliability of lithium-ion (Li-ion) rechargeable batteries has been recognized as of high importance from a broad range of stakeholders, including manufacturers of battery-powered devices, regulatory agencies, researchers and the general public. Failures of Li-ion batteries could result in enormous economic losses and catastrophic events. To enable early identification and resolution of reliability issues and proactive prevention of failures, it is important to be able to diagnose, in a quantitative manner, degradation mechanisms of individual battery cells while the cells are in operation. This paper proposes a methodological framework for on-board quantitative analysis of degradation mechanisms of Li-ion battery using differential voltage analysis. In the framework, the task of on-board degradation analysis is decomposed into two phases: 1) offline high precision characterization of half-cell differential voltage (dV/dQ) behavior, which collects high precision voltage (V) and capacity (Q) data from positive and negative electrode half-cells; and 2) online (on-board) quantitative analysis of degradation mechanisms, which adopts recursive Bayesian filtering to online estimate degradation parameters based on measurement of full-cell dV/dQ curve. These degradation parameters quantify the degrees of degradation from the mechanisms. Simulation results obtained from LiCoO2/graphite Li-ion cells verify the effectiveness of the proposed framework in online estimation of the degradation parameters.

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Online Estimation of Lithium-Ion Battery Capacity Using Deep Convolutional Neural Networks

Volume 2A: 44th Design Automation Conference ◽

10.1115/detc2018-86347 ◽

2018 ◽

Cited By ~ 1

Author(s):

Sheng Shen ◽

M. K. Sadoughi ◽

Xiangyi Chen ◽

Mingyi Hong ◽

Chao Hu

Keyword(s):

Neural Networks ◽

Deep Learning ◽

Convolutional Neural Networks ◽

Lithium Ion ◽

Relevance Vector Machine ◽

Rechargeable Batteries ◽

Li Ion Battery ◽

Deep Convolutional Neural Networks ◽

Battery Capacity ◽

Li Ion

Over the past two decades, safety and reliability of lithium-ion (Li-ion) rechargeable batteries have been receiving a considerable amount of attention from both industry and academia. To guarantee safe and reliable operation of a Li-ion battery pack and build failure resilience in the pack, battery management systems (BMSs) should possess the capability to monitor, in real time, the state of health (SOH) of the individual cells in the pack. This paper presents a deep learning method, named deep convolutional neural networks, for cell-level SOH assessment based on the capacity, voltage, and current measurements during a charge cycle. The unique features of deep convolutional neural networks include the local connectivity and shared weights, which enable the model to estimate battery capacity accurately using the measurements during charge. To our knowledge, this is the first attempt to apply deep learning to online SOH assessment of Li-ion battery. 10-year daily cycling data from implantable Li-ion cells are used to verify the performance of the proposed method. Compared with traditional machine learning methods such as relevance vector machine and shallow neural networks, the proposed method is demonstrated to produce higher accuracy and robustness in capacity estimation.

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Lithium-Ion-Conducting Ceramics-Coated Separator for Stable Operation of Lithium Metal-Based Rechargeable Batteries

Materials ◽

10.3390/ma15010322 ◽

2022 ◽

Vol 15 (1) ◽

pp. 322

Author(s):

Ryo Shomura ◽

Ryota Tamate ◽

Shoichi Matsuda

Keyword(s):

Negative Electrode ◽

Lithium Ion ◽

Cycling Performance ◽

Rechargeable Batteries ◽

Stable Operation ◽

Lithium Metal ◽

Interfacial Resistance ◽

Metal Anode ◽

Ion Conducting ◽

Coated Separator

Lithium metal anode is regarded as the ultimate negative electrode material due to its high theoretical capacity and low electrochemical potential. However, the significantly high reactivity of Li metal limits the practical application of Li metal batteries. To improve the stability of the interface between Li metal and an electrolyte, a facile and scalable blade coating method was used to cover the commercial polyethylene membrane separator with an inorganic/organic composite solid electrolyte layer containing lithium-ion-conducting ceramic fillers. The coated separator suppressed the interfacial resistance between the Li metal and the electrolyte and consequently prolonged the cycling stability of deposition/dissolution processes in Li/Li symmetric cells. Furthermore, the effect of the coating layer on the discharge/charge cycling performance of lithium-oxygen batteries was investigated.

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User-Friendly Differential Voltage Analysis Freeware for the Analysis of Degradation Mechanisms in Li-Ion Batteries

Journal of The Electrochemical Society ◽

10.1149/2.013209jes ◽

2012 ◽

Vol 159 (9) ◽

pp. A1405-A1409 ◽

Cited By ~ 100

Author(s):

Hannah M. Dahn ◽

A. J. Smith ◽

J. C. Burns ◽

D. A. Stevens ◽

J. R. Dahn

Keyword(s):

Li Ion Batteries ◽

Degradation Mechanisms ◽

Differential Voltage ◽

Li Ion ◽

User Friendly

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Effect of Prelithiation Process for Hard Carbon Negative Electrode on the Rate and Cycling Behaviors of Lithium-Ion Batteries

Batteries ◽

10.3390/batteries4040071 ◽

2018 ◽

Vol 4 (4) ◽

pp. 71 ◽

Cited By ~ 8

Author(s):

Yusuke Abe ◽

Tomoaki Saito ◽

Seiji Kumagai

Keyword(s):

Lithium Ion Batteries ◽

Current Density ◽

High Current Density ◽

Negative Electrode ◽

Lithium Ion ◽

High Current ◽

Hard Carbon ◽

Li Ion ◽

Charge Discharge ◽

Ion Insertion

Two prelithiation processes (shallow Li-ion insertion, and thrice-repeated deep Li-ion insertion and extraction) were applied to the hard carbon (HC) negative electrode (NE) used in lithium-ion batteries (LIBs). LIB full-cells were assembled using Li(Ni0.5Co0.2Mn0.3)O2 positive electrodes (PEs) and the prelithiated HC NEs. The assembled full-cells were charged and discharged under a low current density, increasing current densities in a stepwise manner, and then constant under a high current density. The prelithiation process of shallow Li-ion insertion resulted in the high Coulombic efficiency (CE) of the full-cell at the initial charge-discharge cycles as well as in a superior rate capability. The prelithiation process of thrice-repeated Li-ion insertion and extraction attained an even higher CE and a high charge-discharge specific capacity under a low current density. However, both prelithiation processes decreased the capacity retention during charge-discharge cycling under a high current density, ascertaining a trade-off relationship between the increased CE and the cycling performance. Further elimination of the irreversible capacity of the HC NE was responsible for the higher utilization of both the PE and NE, attaining higher initial performances, but allowing the larger capacity to fade throughout charge-discharge cycling.

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Understanding Electrolyte Degradation Mechanisms over the Lifespan of Li-Ion Cells Using Differential Thermal Analysis (DTA) and High Precision Coulometry (HPC)

ECS Meeting Abstracts ◽

10.1149/ma2019-02/5/233 ◽

2019 ◽

Keyword(s):

Thermal Analysis ◽

Differential Thermal Analysis ◽

High Precision ◽

Degradation Mechanisms ◽

Li Ion

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Current Li-Ion Battery Technologies in Electric Vehicles and Opportunities for Advancements

Energies ◽

10.3390/en12061074 ◽

2019 ◽

Vol 12 (6) ◽

pp. 1074 ◽

Cited By ~ 70

Author(s):

Yu Miao ◽

Patrick Hynan ◽

Annette von Jouanne ◽

Alexandre Yokochi

Keyword(s):

Electric Vehicles ◽

Electrode Materials ◽

Negative Electrode ◽

Lithium Ion ◽

High Energy ◽

High Energy Density ◽

Li Ion Batteries ◽

Li Ion Battery ◽

Li Ion ◽

On The Road

Over the past several decades, the number of electric vehicles (EVs) has continued to increase. Projections estimate that worldwide, more than 125 million EVs will be on the road by 2030. At the heart of these advanced vehicles is the lithium-ion (Li-ion) battery which provides the required energy storage. This paper presents and compares key components of Li-ion batteries and describes associated battery management systems, as well as approaches to improve the overall battery efficiency, capacity, and lifespan. Material and thermal characteristics are identified as critical to battery performance. The positive and negative electrode materials, electrolytes and the physical implementation of Li-ion batteries are discussed. In addition, current research on novel high energy density batteries is presented, as well as opportunities to repurpose and recycle the batteries.

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Synthesis of LiFePO4 in an Open-air Environment

MRS Advances ◽

10.1557/adv.2017.135 ◽

2017 ◽

Vol 2 (17) ◽

pp. 939-944

Author(s):

Fei Gu ◽

Kichang Jung ◽

Taehoon Lim ◽

Alfredo A. Martinez-Morales

Keyword(s):

Solid State ◽

Solid State Reaction ◽

Synthesis Method ◽

Lithium Ion ◽

Iron Phosphate ◽

Rechargeable Batteries ◽

X Ray Diffraction ◽

The Family ◽

Li Ion ◽

The Cost

ABSTRACTAmong different efforts to increase the competitiveness of lithium-ion batteries (LIBs) in the energy storage marketplace, reducing the cost of production is a major effort by the LIB industry. This work proposes a synthesis method to decrease the production cost for LiFePO4, by synthesizing the material through an open-air environment solid state reaction.The lithium (Li)-ion battery is a member of the family of rechargeable batteries. In our approach, iron phosphate (FePO4) powder is preheated to eliminate moisture. Once dried, the FePO4 is mixed with lithium acetate (CH3COOLi), and the mixture is heated in a tube furnace. The solid-state reaction is conducted in an open-air environment. In order to minimize the oxidation of the formed LiFePO4, a modified tube reaction vessel is utilized during synthesis. X-ray Diffraction (XRD) and Energy Dispersive Spectroscopy (EDS) are used to characterize the crystal structure and chemical composition of the synthesized material. Furthermore, scanning electron microscopy (SEM) characterization shows the grain size of the formed LiFePO4 to be in the range of 200 nm to 600 nm. Cycling testing of fabricated battery cells using the synthesized LiFePO4 is done using an Arbin Tester.

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In situ electrochemical impedance spectroscopy to investigate negative electrode of lithium-ion rechargeable batteries

Journal of Power Sources ◽

10.1016/j.jpowsour.2004.04.004 ◽

2004 ◽

Vol 135 (1-2) ◽

pp. 255-261 ◽

Cited By ~ 84

Author(s):

Masayuki Itagaki ◽

Nao Kobari ◽

Sachiko Yotsuda ◽

Kunihiro Watanabe ◽

Shinichi Kinoshita ◽

...

Keyword(s):

Electrochemical Impedance Spectroscopy ◽

Impedance Spectroscopy ◽

Electrochemical Impedance ◽

Negative Electrode ◽

Lithium Ion ◽

Rechargeable Batteries

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Properties of a Carbon Negative Electrode in Completely Inorganic Thin Film Li-Ion Batteries with a LiCoO2 Positive Electrode

MRS Proceedings ◽

10.1557/proc-369-137 ◽

1994 ◽

Vol 369 ◽

Cited By ~ 5

Author(s):

R.B. Goldner ◽

S. Slaven ◽

T.Y. Liu ◽

T.E. Haas ◽

F.O. Arnt ◽

...

Keyword(s):

Thin Film ◽

Diffusion Constant ◽

Negative Electrode ◽

Lithium Ion ◽

Chemical Diffusion ◽

Carbon Films ◽

Rechargeable Batteries ◽

Metallic Lithium ◽

Disordered Carbon ◽

Deposition Processes

AbstractCompletely inorganic thin film lithium ion battery cells have been prepared by vapor deposition processes (vacuum evaporation and sputtering). The negative and positive electrodes were films of disordered carbon and lithium cobalt oxide, respectively. The results of battery charging/discharging and other measurements (e.g., in-situ lithium chemical diffusion constant measurements for the carbon films) indicate that disordered carbon films have a relatively high reversible charge capacity, (> 160 mC/μmand possibly higher than 360 mC/cm2-μm, or > 296 and possibly 667 mAh/g, respectively, assuming the measured film density of 1.5g/cm3), and a lithium chemical diffusion constant at room temperature ≈10-9 cm2/s. These results suggest that disordered carbon films should be good substitutes for metallic lithium in thin film rechargeable batteries.

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