The Mechanism and Characterization of Accelerated Capacity Deterioration for Lithium-Ion Battery with Li(NiMnCo) O<sub>2</sub> Cathode

Gao, Yang; Yang, Sijia; Jiang, Jiuchun; Zhang, Caiping; Zhang, Weige; Zhou, Xingzhen

doi:10.1149/2.1001908jes

Cited by 33 publications

(15 citation statements)

References 46 publications

(80 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study showed two things that are extremely important for BMS integration of EVS. First, the choice of FOI is chemistry dependent and that the effectiveness of the FOI choice needs to be carefully verified using one of the mechanistic models [9,17,20,78]. Second, no FOI is likely to be affected by just one degradation mode throughout all the possible degradation paths.…”

Section: Discussionmentioning

confidence: 99%

“…This implies that it is nearly impossible to predetermine how a deployed battery will age, and thus, any accurate diagnosis and prognosis must be performed onboard to be effective. As previously mentioned, lithium-ion batteries are known to degrade slowly at first before a seemingly random and undetectable change occurs, leading to a rapid acceleration of the degradation [9,[15][16][17], Fig. 1.…”

Section: Introductionmentioning

confidence: 89%

“…This hypothesis turned out to be true for only one of the tested conditions as the real SOHs were between 9% and 60%. This is because battery capacity loss and resistance increase quite often showcase a drastic acceleration, referred to as the second stage of aging, that deviates from the initial quasi-linear capacity loss trend [9,[14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Perspective on State-of-Health Determination in Lithium-Ion Batteries

Dubarry

Baure

Anseán

2020

Journal of Electrochemical Energy Conversion and Storage

View full text Add to dashboard Cite

State-of-health (SOH) is an essential parameter for the proper functioning of large battery packs. A wide array of methodologies has been proposed in the literature to track state of health, but they often lack the proper validation that needed to be universally adaptable to large deployed systems. This is likely induced by the lack of knowledge bridge between scientists, who understand batteries, and engineers, who understand controls. In this work, we will attempt to bridge this gap by providing definitions, concepts, and tools to apply necessary material science knowledge to advanced battery management systems (BMS). We will address SOH determination and prediction, as well as BMS implementation and validation using the mechanistic framework developed around electrochemical voltage spectroscopies. Particular focus will be set on the onset and the prediction of the second stage of accelerating capacity loss that is commonly observed in commercial lithium-ion batteries.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Perspective on State-of-Health Determination in Lithium-Ion Batteries

Dubarry

Baure

Anseán

2020

Journal of Electrochemical Energy Conversion and Storage

View full text Add to dashboard Cite

show abstract

“… 18 − 20 (iii) Impedance reduces the accessible electrode capacity at a given rate due to limited ion and/or electron transport. 21 It is important to note that a particular degradation mechanism may contribute to more than one type of capacity loss simultaneously or at different stages of cycling. For example, the transformation of the NMC surface to a spinel/rock-salt layer may lead to the direct loss of active material through the material transformation itself and constraints it places on delithiation of the bulk NMC.…”

Section: Introductionmentioning

confidence: 99%

Cycle-Induced Interfacial Degradation and Transition-Metal Cross-Over in LiNi_0.8Mn_0.1Co_0.1O₂–Graphite Cells

Björklund

Dose

et al. 2022

Chem. Mater.

View full text Add to dashboard Cite

Ni-rich lithium nickel manganese cobalt (NMC) oxide cathode materials promise Li-ion batteries with increased energy density and lower cost. However, higher Ni content is accompanied by accelerated degradation and thus poor cycle lifetime, with the underlying mechanisms and their relative contributions still poorly understood. Here, we combine electrochemical analysis with surface-sensitive X-ray photoelectron and absorption spectroscopies to observe the interfacial degradation occurring in LiNi 0.8 Mn 0.1 Co 0.1 O 2 –graphite full cells over hundreds of cycles between fixed cell voltages (2.5–4.2 V). Capacity losses during the first ∼200 cycles are primarily attributable to a loss of active lithium through electrolyte reduction on the graphite anode, seen as thickening of the solid-electrolyte interphase (SEI). As a result, the cathode reaches ever-higher potentials at the end of charge, and with further cycling, a regime is entered where losses in accessible NMC capacity begin to limit cycle life. This is accompanied by accelerated transition-metal reduction at the NMC surface, thickening of the cathode electrolyte interphase, decomposition of residual lithium carbonate, and increased cell impedance. Transition-metal dissolution is also detected through increased incorporation into and thickening of the SEI, with Mn found to be initially most prevalent, while the proportion of Ni increases with cycling. The observed evolution of anode and cathode surface layers improves our understanding of the interconnected nature of the degradation occurring at each electrode and the impact on capacity retention, informing efforts to achieve a longer cycle lifetime in Ni-rich NMCs.

show abstract

“…reflects the main phase transformation on the positive electrode. 37,44 Thus, area A and B involve with LAMPE and LAMNE, respectively, combined with CL. The resistance growth https://mc04.manuscriptcentral.com/jes-ecs due to increase thickness of the SEI layer responsible for LLI and possible dissolution of transition metal.…”

Section: Incremental Capacity Analysismentioning

confidence: 99%

Methodologies for Large-Size Pouch Lithium-Ion Batteries End-of-Life Gateway Detection in the Second-Life Application

Attidekou

Milojevic

Muhammad

et al. 2020

J. Electrochem. Soc.

View full text Add to dashboard Cite

In electric vehicles, the battery pack is deemed to reach the end-of-life (EoL) when the capacity of the lithium-ion batteries (LiBs) drops below 80% of their nominal capacity. This leads to an emerging market of reuse and repurposing of retired LiBs in less power demanding applications. However, longevity, safety, higher performance and system warranty are the requirements of such a novel market and detecting batteries degradation level and their “real” EoL in the second-life applications before recycling is paramount. Here, we present a combination of diagnosis methodologies applied on large-size pouch LiBs from a dismantled first-generation Nissan Leaf retired battery pack, cycled with different accelerated ageing cycling procedures. While the capacity-based state of health is limited, the degradation modes and the “real” EoL were successfully detected by the incremental capacity analysis (ICA) and infrared (IR) thermal techniques. The ICA and IR measurements can be utilised to detect quantitative changes or different qualitative spacious non-uniform ageing changes over the large-size LiB’s surface. Moreover, these methodologies represent an important first step for “real” EoL prediction a hundred cycles earlier and can be applied on large-size pouch cells with different chemistries in second-life applications.

show abstract

The Mechanism and Characterization of Accelerated Capacity Deterioration for Lithium-Ion Battery with Li(NiMnCo) O₂ Cathode

Cited by 33 publications

References 46 publications

Perspective on State-of-Health Determination in Lithium-Ion Batteries

Perspective on State-of-Health Determination in Lithium-Ion Batteries

Cycle-Induced Interfacial Degradation and Transition-Metal Cross-Over in LiNi_0.8Mn_0.1Co_0.1O₂–Graphite Cells

Methodologies for Large-Size Pouch Lithium-Ion Batteries End-of-Life Gateway Detection in the Second-Life Application

Contact Info

Product

Resources

About

The Mechanism and Characterization of Accelerated Capacity Deterioration for Lithium-Ion Battery with Li(NiMnCo) O2 Cathode

Cited by 33 publications

References 46 publications

Perspective on State-of-Health Determination in Lithium-Ion Batteries

Perspective on State-of-Health Determination in Lithium-Ion Batteries

Cycle-Induced Interfacial Degradation and Transition-Metal Cross-Over in LiNi0.8Mn0.1Co0.1O2–Graphite Cells

Methodologies for Large-Size Pouch Lithium-Ion Batteries End-of-Life Gateway Detection in the Second-Life Application

Contact Info

Product

Resources

About

The Mechanism and Characterization of Accelerated Capacity Deterioration for Lithium-Ion Battery with Li(NiMnCo) O₂ Cathode

Cycle-Induced Interfacial Degradation and Transition-Metal Cross-Over in LiNi_0.8Mn_0.1Co_0.1O₂–Graphite Cells