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Author

Stefan Käbitz

Other affiliations: Forschungszentrum Jülich
Bio: Stefan Käbitz is an academic researcher from RWTH Aachen University. The author has contributed to research in topics: Battery (electricity) & Lithium-ion battery. The author has an hindex of 12, co-authored 16 publications receiving 2447 citations. Previous affiliations of Stefan Käbitz include Forschungszentrum Jülich.

Papers
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Journal ArticleDOI
TL;DR: In this paper, a 40 Ah lithium-ion cell with nickel manganese cobalt oxide (NMC) cathode material was used to investigate the battery impedance and its dependence on the battery state-of-charge (SoC), temperature, current and previous history.

735 citations

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TL;DR: In this paper, an extensive set of accelerated aging tests has been carried out employing a Li-ion high energy 18650 system (2.05-Ah), negative electrode: carbon, positive electrode: Li(NiMnCo)O2).

581 citations

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TL;DR: In this paper, a holistic aging model from accelerated aging tests is presented to analyze the impact of different impact factors on lithium-ion battery aging and lifetime estimation, which is a fundamental aspect for successful market introduction in high-priced goods like electric mobility.

495 citations

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TL;DR: In this article, a multivariable analysis of a detailed series of accelerated lifetime experiments representing typical operating conditions in a hybrid electric vehicle is presented, where the impact of temperature and state of charge on impedance rise and capacity loss is quantified.

492 citations

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TL;DR: In this article, a model based on a system made of a spherical graphite particle surrounded by the solid electrolyte interphase layer was proposed to reproduce capacity fade during battery lifetime, and the model results were compared against cycle life aging experimental data, reproducing accurately the influence of the depth of discharge as well as the average state of charge on the capacity fade.

257 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the authors present a summary of techniques, models, and algorithms used for battery ageing estimation, going from a detailed electrochemical approach to statistical methods based on data, and their respective characteristics are discussed.

1,224 citations

Journal ArticleDOI
TL;DR: In this paper, the methods for monitoring the battery state of charge, capacity, impedance parameters, available power, state of health, and remaining useful life are reviewed with the focus on elaboration of their strengths and weaknesses for the use in on-line BMS applications.

827 citations

Journal ArticleDOI
TL;DR: In this paper, a 40 Ah lithium-ion cell with nickel manganese cobalt oxide (NMC) cathode material was used to investigate the battery impedance and its dependence on the battery state-of-charge (SoC), temperature, current and previous history.

735 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of temperatures in the range of −20°C to 70°C on the ageing behavior of cycled Lithium-ion batteries are investigated quantitatively by electrochemical methods and post-mortem analysis.

732 citations

Journal ArticleDOI
TL;DR: In this paper, a battery management system (BMS) for the smart grid and electric vehicles (EVs) has been proposed to improve the performance of Li-ion batteries.
Abstract: With the rapidly evolving technology of the smart grid and electric vehicles (EVs), the battery has emerged as the most prominent energy storage device, attracting a significant amount of attention. The very recent discussions about the performance of lithium-ion (Li-ion) batteries in the Boeing 787 have confirmed so far that, while battery technology is growing very quickly, developing cells with higher power and energy densities, it is equally important to improve the performance of the battery management system (BMS) to make the battery a safe, reliable, and cost-efficient solution. The specific characteristics and needs of the smart grid and EVs, such as deep charge/discharge protection and accurate state-of-charge (SOC) and state-of-health (SOH) estimation, intensify the need for a more efficient BMS. The BMS should contain accurate algorithms to measure and estimate the functional status of the battery and, at the same time, be equipped with state-of-the-art mechanisms to protect the battery from hazardous and inefficient operating conditions.

721 citations