Leo Wildfeuer

About Leo Wildfeuer

Leo Wildfeuer, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Li-Ion Batteries.

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

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

Mechanistic calendar aging model for lithium-ion batteries

Experimental degradation study of a commercial lithium-ion battery

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

Quantifying the state of the art of electric powertrains in battery electric vehicles: Range, efficiency, and lifetime from component to system level of the Volkswagen ID. 3

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

Using degradation modes for large-scale capacity and power fade diagnostics

Review of fast charging strategies for lithium-ion battery systems and their applicability for battery electric vehicles

Leo Wildfeuer Information

University

Position

___

Citations(all)

503

Citations(since 2020)

500

Cited By

68

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Leo Wildfeuer Skills & Research Interests

Li-Ion Batteries

Top articles of Leo Wildfeuer

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

Journal of Power Sources

2024/2/15

Mechanistic calendar aging model for lithium-ion batteries

Journal of Power Sources

2023/9/15

Experimental degradation study of a commercial lithium-ion battery

Journal of Power Sources

2023/3/15

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

Journal of Energy Storage

2022/8/1

Quantifying the state of the art of electric powertrains in battery electric vehicles: Range, efficiency, and lifetime from component to system level of the Volkswagen ID. 3

2022/5/1

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

Journal of Energy Storage

2022/4/1

Using degradation modes for large-scale capacity and power fade diagnostics

2022

Review of fast charging strategies for lithium-ion battery systems and their applicability for battery electric vehicles

2021/12/15

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

Quantifiability of inherent cell-to-cell variations of commercial lithium-ion batteries

ETransportation

2021/8/1

Leo Wildfeuer
Leo Wildfeuer

H-Index: 4

Markus Lienkamp
Markus Lienkamp

H-Index: 20

Experimental investigation of the influence of electrical contact resistance on lithium-ion battery testing for fast-charge applications

Journal of Energy Storage

2022/8/15

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

Journal of Energy Storage

2020/12/1

Accelerated aging characterization of lithium-ion cells: Using sensitivity analysis to identify the stress factors relevant to cyclic aging

Batteries

2020/1/20

Leo Wildfeuer
Leo Wildfeuer

H-Index: 4

Markus Lienkamp
Markus Lienkamp

H-Index: 20

See List of Professors in Leo Wildfeuer University(Technische Universität München)