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Parameterisation of coupled degradation mechanisms in lithium-ion batteries is a major challenge. Interactions between the mechanisms depend on usage conditions: C-rate, rest state-of-charge (SoC), depth-of-discharge (DoD) and temperature.…

Materials Science · Physics 2026-04-13 Ganesh Madabattula

Li-ion batteries with nickel-manganese-cobalt (NMC) cathode and graphite anode are popularly used in portable electronic devices and electric vehicles. Calendar loss of the lithium ion battery is a dominating factor in battery degradation.…

Chemical Physics · Physics 2021-03-04 Boman Su , Xinyou Ke , Chris Yuan

Higher energy density and longer lifetime are the requirements for next-generation lithium-ion batteries. A promising anode material is silicon, which offers high specific capacity, but its significant volume change during lithiation and…

Ageing of lithium-ion batteries results in irreversible reduction in performance. Intrinsic variability between cells, caused by manufacturing differences, occurs throughout life and increases with age. Researchers need to know the minimum…

Predicting lithium-ion battery lifetime is one of the greatest unsolved problems in battery research right now. Recent years have witnessed a surge in lifetime prediction papers using physics-based, empirical, or data-driven models, most of…

Lithium-ion batteries degrade due to usage and exposure to environmental conditions, which affects their capability to store energy and supply power. Accurately predicting the capacity and power fade of lithium-ion battery cells is…

Systems and Control · Electrical Eng. & Systems 2021-12-28 Weihan Li , Haotian Zhang , Bruis van Vlijmen , Philipp Dechent , Dirk Uwe Sauer

Nickel-rich layered oxides have been widely used as positive electrode materials for high-energy-density lithium-ion batteries, but their degradation has severely affected cell performance, in particular at a high voltage and temperature.…

Materials Science · Physics 2023-04-04 Mingzhao Zhuo , Gregory Offer , Monica Marinescu

Capacity degradation of lithium-ion batteries under long-term cyclic aging is modelled via a flexible sigmoidal-type regression set-up, where the regression parameters can be interpreted. Different approaches known from the literature are…

Applications · Statistics 2019-07-31 Marcus Johnen , Simon Pitzen , Udo Kamps , Maria Kateri , Dirk Uwe Sauer

Battery health assessment and recuperation play a crucial role in the utilization of second-life Li-ion batteries. However, due to ambiguous aging mechanisms and lack of correlations between the recovery effects and operational states, it…

Signal Processing · Electrical Eng. & Systems 2024-04-04 Riko I Made , Jing Lin , Jintao Zhang , Yu Zhang , Lionel C. H. Moh , Zhaolin Liu , Ning Ding , Sing Yang Chiam , Edwin Khoo , Xuesong Yin , Guangyuan Wesley Zheng

Accurately predicting aging of lithium-ion batteries would help to prolong their lifespan, but remains a challenge owing to the complexity and interrelation of different aging mechanisms. As a result, aging prediction often relies on…

Battery degradation is a major challenge in electric vehicles (EV) and energy storage systems (ESS). However, most degradation investigations focus mainly on estimating the state of charge (SOC), which fails to accurately interpret the…

Machine Learning · Computer Science 2025-04-22 Md Azizul Hoque , Babul Salam , Mohd Khair Hassan , Abdulkabir Aliyu , Abedalmuhdi Almomany , Muhammed Sutcu

Moving to larger cell formats in lithium-ion batteries increases overall useable energy but introduces inhomogeneities that influence aging. This study investigates degradation in 21700-type cells with NCM cathodes and graphite/SiOx anodes…

Predicting lithium-ion battery degradation is worth billions to the global automotive, aviation and energy storage industries, to improve performance and safety and reduce warranty liabilities. However, very few published models of battery…

Understanding battery degradation in electric vehicles (EVs) under real-world conditions remains a critical yet under-explored area of research. Central to this investigation is the challenge of estimating the specific degradation modes in…

Optimization and Control · Mathematics 2024-05-20 Raja Abhishek Appana , Faissal El Idrissi , Prashanth Ramesh , Marcello Canova , Chun Yong Kang , Kimoon Um

Accurate battery lifetime prediction is important for preventative maintenance, warranties, and improved cell design and manufacturing. However, manufacturing variability and usage-dependent degradation make life prediction challenging.…

Machine Learning · Computer Science 2024-04-23 Tingkai Li , Zihao Zhou , Adam Thelen , David Howey , Chao Hu

This work explores controllability and the control effort required for lithium-ion batteries. Battery packs have become a critical technology in both personal and professional applications as a means to store large amounts of energy.…

Systems and Control · Electrical Eng. & Systems 2026-04-14 Preston T. Abadie , Donald J. Docimo

Small amounts of high-capacity silicon-based materials are already used in the anode of commercial Li-ion batteries, helping increase their energy density. Despite their remarkable storage capability, silicon continuously reacts with the…

Designing lithium-ion batteries for long service life remains a challenge, as most cells are optimized for beginning-of-life metrics such as energy density, often overlooking how design and operating conditions shape degradation. This work…

Ubiquitous use of lithium-ion batteries across multiple industries presents an opportunity to explore cost saving initiatives as the price to performance ratio continually decreases in a competitive environment. Manufacturers using…

Signal Processing · Electrical Eng. & Systems 2021-10-20 Anmol Singh , Caitlin Feltner , Jamie Peck , Kurt I. Kuhn

This paper proposes an analytical framework describing how initial capacity and resistance variability in parallel-connected battery cells may inflict additional variability or reduce variability while the cells age. We derive closed-form…

Systems and Control · Electrical Eng. & Systems 2023-10-17 Andrew Weng , Hamidreza Movahedi , Clement Wong , Jason B. Siegel , Anna Stefanopoulou
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