Joachim Böcker

About Joachim Böcker

Joachim Böcker, With an exceptional h-index of 37 and a recent h-index of 27 (since 2020), a distinguished researcher at Universität Paderborn, specializes in the field of Leistungselektronik und Elektrische Antriebstechnik.

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

Insights and Challenges of Co-Simulation-based Optimal Pulse Pattern Evaluation for Electric Drives

Flying-capacitor inverter, multi-level phase-shift converter, and method of controlling the flying-capacitor inverter and the multi-level-phase-shift converter

Digital Implementation of a Current Observer with On-Line Current Sample Correction for PFC Rectifiers

On-the-fly topology morphing for frequency-multiplier half-bridge operation

Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning

Mechatronik und elektrische Antriebe

Isolated full-bridge converter

Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors in the Whole Speed and Modulation Range Considering Current and Torque Limits

Joachim Böcker Information

University

Position

___

Citations(all)

6070

Citations(since 2020)

3005

Cited By

3450

hIndex(all)

37

hIndex(since 2020)

27

i10Index(all)

128

i10Index(since 2020)

78

Email

University Profile Page

Google Scholar

Joachim Böcker Skills & Research Interests

Leistungselektronik und Elektrische Antriebstechnik

Top articles of Joachim Böcker

Insights and Challenges of Co-Simulation-based Optimal Pulse Pattern Evaluation for Electric Drives

IEEE Transactions on Energy Conversion

2024/3/8

Flying-capacitor inverter, multi-level phase-shift converter, and method of controlling the flying-capacitor inverter and the multi-level-phase-shift converter

2024/2/8

Digital Implementation of a Current Observer with On-Line Current Sample Correction for PFC Rectifiers

2023/3/19

Joachim Böcker
Joachim Böcker

H-Index: 21

On-the-fly topology morphing for frequency-multiplier half-bridge operation

2023/3/16

Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning

Engineering Applications of Artificial Intelligence

2023/1/1

Mechatronik und elektrische Antriebe

2023

Joachim Böcker
Joachim Böcker

H-Index: 21

Isolated full-bridge converter

2023/12/21

Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors in the Whole Speed and Modulation Range Considering Current and Torque Limits

IEEE Open Journal of the Industrial Electronics Society

2023/11/21

Converter component and converter

2023/11/9

Reducing Contact Bouncing of a Relay by Optimizing the Switch Signal During Run-Time

IEEE Transactions on Automation Science and Engineering

2023/10/24

Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays

IEEE Open Journal of the Industrial Electronics Society

2023/10/13

An Optimized Third-Harmonic Injection Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to 50% for all Power Factors

2023/9/4

Roland Unruh
Roland Unruh

H-Index: 2

Joachim Böcker
Joachim Böcker

H-Index: 21

Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control

2023/8/28

Laser absorption spectroscopy for plasma-assisted thermochemical treatment. Part I.: Applicability of the Beer–Lambert law and interpretation of spectroscopic data

Plasma Sources Science and Technology

2023/8/17

Finite set sensorless control with minimum a priori knowledge and tuning effort for interior permanent magnet synchronous motors

IEEE Transactions on Power Electronics

2023/7/12

Model predictive direct self-control for six-step operation of permanent magnet synchronous machines

IEEE Transactions on Power Electronics

2023/6/15

Power balancing in interleaved LLC converters via duty cycle variation

2023/5/30

Fade-Over Strategy for use of Model Predictive Direct Self-Control with Field-Oriented Control

2023/5/15

Advanced Synchronous Rectification for an IGBT-Based ZCS LLC Converter with High Output Currents for a 2 kW Automotive DC-DC Stage

2023/5/9

Run-to-failure relay dataset for predictive maintenance research with machine learning

IEEE Transactions on Reliability

2023/3/28

Joachim Böcker
Joachim Böcker

H-Index: 21

See List of Professors in Joachim Böcker University(Universität Paderborn)