Výsledky vyhledávání - "Marco Ströbel"

Akademický článek

A Novel Long Short-Term Memory Approach for Online State-of-Health Identification in Lithium-Ion Battery Cells

Autor: Mike Kopp, Alexander Fill, Marco Ströbel, Kai Peter Birke

Publikováno v: Batteries, Vol 10, Iss 3, p 77 (2024)

Revolutionary and cost-effective state estimation techniques are crucial for advancing lithium-ion battery technology, especially in mobile applications. Accurate prediction of battery state-of-health (SoH) enhances state-of-charge estimation while p

Externí odkaz: https://doaj.org/article/e279af2aa3624296b66f0f80284b87b2

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Akademický článek

Temperature Estimation in Lithium-Ion Cells Assembled in Series-Parallel Circuits Using an Artificial Neural Network Based on Impedance Data

Autor: Marco Ströbel, Vikneshwara Kumar, Kai Peter Birke

Publikováno v: Batteries, Vol 9, Iss 9, p 458 (2023)

Lithium-ion cells are widely used in various applications. For optimal performance and safety, it is crucial to have accurate knowledge of the temperature of each cell. However, determining the temperature for individual cells is challenging as the c

Externí odkaz: https://doaj.org/article/c6b09e3a7e74402ea45122850a0de7c2

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Akademický článek

High Flashpoint and Eco-Friendly Electrolyte Solvent for Lithium-Ion Batteries

Autor: Marco Ströbel, Larissa Kiefer, Julia Pross-Brakhage, Jessica Hemmerling, Philipp Finster, Carlos Ziebert, Kai Peter Birke

Publikováno v: Batteries, Vol 9, Iss 7, p 348 (2023)

Since Sony launched the commercial lithium-ion cell in 1991, the composition of the liquid electrolytes has changed only slightly. The electrolyte consists of highly flammable solvents and thus poses a safety risk. Solid-state ion conductors, classif

Externí odkaz: https://doaj.org/article/10fabb3d4077419f92f286f8ed4bf155

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Akademický článek

Artificial Feature Extraction for Estimating State-of-Temperature in Lithium-Ion-Cells Using Various Long Short-Term Memory Architectures

Autor: Mike Kopp, Marco Ströbel, Alexander Fill, Julia Pross-Brakhage, Kai Peter Birke

Publikováno v: Batteries, Vol 8, Iss 4, p 36 (2022)

The temperature in each cell of a battery system should be monitored to correctly track aging behavior and ensure safety requirements. To eliminate the need for additional hardware components, a software based prediction model is needed to track the

Externí odkaz: https://doaj.org/article/193993f4165244c19848f31c073f01c6

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Akademický článek

Impedance Based Temperature Estimation of Lithium Ion Cells Using Artificial Neural Networks

Autor: Marco Ströbel, Julia Pross-Brakhage, Mike Kopp, Kai Peter Birke

Publikováno v: Batteries, Vol 7, Iss 4, p 85 (2021)

Tracking the cell temperature is critical for battery safety and cell durability. It is not feasible to equip every cell with a temperature sensor in large battery systems such as those in electric vehicles. Apart from this, temperature sensors are u

Externí odkaz: https://doaj.org/article/9df6792b65f84a62904b58ccae1256c3

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Akademický článek

Investigation of a Novel Ecofriendly Electrolyte-Solvent for Lithium-Ion Batteries with Increased Thermal Stability

Autor: Marco Ströbel, Larissa Kiefer, Kai Peter Birke

Publikováno v: Batteries, Vol 7, Iss 4, p 72 (2021)

This study presents tributyl acetylcitrate (TBAC) as a novel ecofriendly high flash point and high boiling point solvent for electrolytes in lithium-ion batteries. The flash point (TFP=217∘C) and the boiling point (TBP=331∘C) of TBAC are approxim

Externí odkaz: https://doaj.org/article/b8a7c402b25241a29a828494fd6d17a8

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