Matthias Preindl

Associate Professor

Columbia University

United States

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About

Matthias Preindl is an Associate Professor at Columbia University in the United States. His research focuses on power electronics, intelligent control systems, and renewable energy applications, as evidenced by his recent work on soft-switching inverters and real-time metric estimation for running. He is actively engaged in exploring innovative solutions for electric vehicle charging and the integration of renewable energy systems.

Articles (21)

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Collaborators (2)

Maitane Berecibar

Vrije Universiteit Brussel

BELGIUM

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Jingping Nie

Columbia University

UNITED STATES

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Matthias Preindl

Research Interests

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About

Articles (21)

SoundTrack: A Contactless Mobile Solution for Real-time Running Metric Estimation for Treadmill Running in the Wild

Second Harmonic Injection With Model Predictive Control: Attenuation of DC-Link Pulsations in Single-Phase Inverters

Single-Phase Transformerless Onboard Charger With Reduced DC Capacitance and Leakage Current

Semiconductor Material Damage Mechanisms Due to Non-Ionizing Energy in Space-Based Solar Systems

Nonlinear Characterization of Lithium-Ion Batteries With Bipolar Pulsing

A Peak 1.2-MHz, >99.5% Efficient, and >10-kW/L Power Dense Soft-Switched Inverter for EV Fast Charging Applications

Vehicle-to-Grid Fleet Service Provision Considering Nonlinear Battery Behaviors

A Three-Phase Partial Power Processing Soft-Switched Inverter

Analytical Co-Design of Receding Horizon Estimation and Control for Power Converters

Derivation and Review of Optimization-Based Estimation for Motor Drives and Power Electronics

Optimal Variable Frequency Soft Switching for Interleaved Grid Tied Inverters in Electric Vehicle Charging Applications

Reconfigurable hybrid micro-grid with standardized power module for high performance energy conversion

Characterizing degradation in lithium-ion batteries with pulsing

A Low-Cost Battery-Balancing Auxiliary Power Module With Dual-Active Half Bridge Links and Coreless Transformers

A Multilayer Software-Defined System for High-Performance Electric Vehicle Energy Conversion

Interpretable Real-Time Modeling of the Diffusion Overpotential in Lithium Batteries

Design of a 22-kW Transformerless EV Charger With V2G Capabilities and Peak 99.5% Efficiency

Piecewise Affine Modeling of Wound-Rotor Synchronous Machines for Real-Time Motor Control

Hierarchical Software-Defined Control Architecture With MPC-Based Power Module to Interface Renewable Sources and Motor Drives

High-Performance Optimal Power Flow Estimation for EV-Interfaced Microgrids With Standardized Grid Services

Optimization-Based Estimation and Model Predictive Control for High Performance, Low Cost Software-Defined Power Electronics

Collaborators (2)

Maitane Berecibar

Jingping Nie

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