Ultralocal Model-Free Pulse-Frequency-Modulation of a Bidirectional Resonant DC-DC Converter for V2G System

CLLLC-type dc-dc converter (abbreviated as CLLLC converter) has drawn significant attention due to its capability to step-up and step-down voltage in both forward and reverse operation directions, while maintaining consistent operating characteristics, soft-switching across the full-load range, and high efficiency. Conventional control methods, such as Proportional-Integral (PI) regulator, are widely used due to their simple structure and straightforward principles. However, these approaches heavily depend on the model accuracy, which may lead to suboptimal performance in the presence of parameter mismatches and disturbances. To overcome this limitation, this paper proposes a comprehensive control framework for voltage closed-loop regulation and introduces an ultra-local model-free pulse-frequency modulation (UMF-PFM) approach. In this framework, the frequency and output voltage are used as variables in frequency modulation. This enables the identification of the unknown nonlinear term of the system, which encapsulates all relevant structural information. By adjusting the frequency, the controller's performance remains robust, reducing its dependence on model accuracy. Simulation and experimental results demonstrate that, the UMF-PFM shows better stability against parameter mismatches and perturbations on the primary side of the dc-dc converter compared to existing PFM and PSM methods, which are affected by less than 1 V of the output voltage under the same conditions.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Power Electronics
Published
2025-09-02
DOI
https://doi.org/10.1109/tpel.2025.3605216
Primary Topic
Induction Heating and Inverter Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ultralocal Model-Free Pulse-Frequency-Modulation of a Bidirectional Resonant DC-DC Converter for V2G System

Bo Long, José Rodríguez, Luping Wang, Peng Qi
IEEE Transactions on Power Electronics
Induction Heating and Inverter Technology
article

Ultralocal Model-Free Pulse-Frequency-Modulation of a Bidirectional Resonant DC-DC Converter for V2G System

Bo Long, José Rodríguez, Luping Wang, Peng Qi
article en

Abstract

CLLLC-type dc-dc converter (abbreviated as CLLLC converter) has drawn significant attention due to its capability to step-up and step-down voltage in both forward and reverse operation directions, while maintaining consistent operating characteristics, soft-switching across the full-load range, and high efficiency. Conventional control methods, such as Proportional-Integral (PI) regulator, are widely used due to their simple structure and straightforward principles. However, these approaches heavily depend on the model accuracy, which may lead to suboptimal performance in the presence of parameter mismatches and disturbances. To overcome this limitation, this paper proposes a comprehensive control framework for voltage closed-loop regulation and introduces an ultra-local model-free pulse-frequency modulation (UMF-PFM) approach. In this framework, the frequency and output voltage are used as variables in frequency modulation. This enables the identification of the unknown nonlinear term of the system, which encapsulates all relevant structural information. By adjusting the frequency, the controller's performance remains robust, reducing its dependence on model accuracy. Simulation and experimental results demonstrate that, the UMF-PFM shows better stability against parameter mismatches and perturbations on the primary side of the dc-dc converter compared to existing PFM and PSM methods, which are affected by less than 1 V of the output voltage under the same conditions.

IEEE Transactions on Power ElectronicsVol. 41(2)
Universidad Andrés Bello (CL), University of Electronic Science and Technology of China (CN), San Sebastián University (CL), Aalborg University (DK)
Openalex Percentile: Top 76%
Induction Heating and Inverter Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.