Alexander Karger

About Alexander Karger

Alexander Karger, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of lithium-ion batteries, battery aging, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Non-destructive electrode potential and open-circuit voltage aging estimation for lithium-ion batteries

ESTIMATION OF CALENDAR AGING OF BATTERY CELLS

Mechanistic cycle aging model for the open-circuit voltage curve of lithium-ion batteries

Determination of open circuit voltage curve for rechargeable batteries

Mechanistic calendar aging model for lithium-ion batteries

Method and Battery Management System for Monitoring a Battery System by Determining Impedance

Experimental degradation study of a commercial lithium-ion battery

Capacity and degradation mode estimation for lithium-ion batteries based on partial charging curves at different current rates

Alexander Karger Information

University

Position

PhD Student

Citations(all)

96

Citations(since 2020)

96

Cited By

3

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Alexander Karger Skills & Research Interests

lithium-ion batteries

battery aging

machine learning

Top articles of Alexander Karger

Non-destructive electrode potential and open-circuit voltage aging estimation for lithium-ion batteries

Journal of Power Sources

2024/5/15

Alexander Karger
Alexander Karger

H-Index: 1

Andreas Jossen
Andreas Jossen

H-Index: 43

ESTIMATION OF CALENDAR AGING OF BATTERY CELLS

2024/2/29

Mechanistic cycle aging model for the open-circuit voltage curve of lithium-ion batteries

Journal of Power Sources

2024/2/15

Determination of open circuit voltage curve for rechargeable batteries

2023/9/21

Mechanistic calendar aging model for lithium-ion batteries

Journal of Power Sources

2023/9/15

Method and Battery Management System for Monitoring a Battery System by Determining Impedance

2023/4/6

Experimental degradation study of a commercial lithium-ion battery

Journal of Power Sources

2023/3/15

Capacity and degradation mode estimation for lithium-ion batteries based on partial charging curves at different current rates

Journal of Energy Storage

2023/3/1

Alexander Karger
Alexander Karger

H-Index: 1

Andreas Jossen
Andreas Jossen

H-Index: 43

Modeling capacity fade of lithium-ion batteries during dynamic cycling considering path dependence

Journal of Energy Storage

2022/8/1

Teardown analysis and characterization of a commercial lithium-ion battery for advanced algorithms in battery electric vehicles

Journal of Energy Storage

2022/4/1

Combining the distribution of relaxation times from EIS and time-domain data for parameterizing equivalent circuit models of lithium-ion batteries

Batteries

2021/8/2

Leo Wildfeuer
Leo Wildfeuer

H-Index: 4

Alexander Karger
Alexander Karger

H-Index: 1

Novel method for the on-line estimation of low-frequency impedance of lithium-ion batteries

Journal of Energy Storage

2020/12/1

See List of Professors in Alexander Karger University(Technische Universität München)