Performance Evaluation of PI and Fuzzy Logic Controllers for a Bidirectional Buck-Boost DC/DC Converter in V2G and G2V Applications

This paper presents a comparative analysis of a linear proportional-integral controller and a nonlinear fuzzy logic controller for a bidirectional buck-boost converter in onboard chargers for vehicle-to-grid and grid-to-vehicle applications. The study examines the robustness of both control strategies under voltage variations and assesses their dynamic response to setpoint changes. Simulation results highlight the advantages and limitations of each controller in terms of stability, transient behavior, and adaptability to varying operating conditions. The findings provide insights into selecting the most effective control approach for enhancing the performance and reliability of bidirectional power conversion in electric vehicle charging systems.

Authors

Publication Details

Journal
Journal of Machine Engineering
Published
2025-09-09
DOI
https://doi.org/10.36897/jme/210294
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance Evaluation of PI and Fuzzy Logic Controllers for a Bidirectional Buck-Boost DC/DC Converter in V2G and G2V Applications

Rachid El Bachtiri, Abdelaziz Fri, Karima El Hammoumi, Hamza EL-HASSOUNI
Journal of Machine Engineering
Advanced Battery Technologies Research
article

Performance Evaluation of PI and Fuzzy Logic Controllers for a Bidirectional Buck-Boost DC/DC Converter in V2G and G2V Applications

Rachid El Bachtiri, Abdelaziz Fri, Karima El Hammoumi, Hamza EL-HASSOUNI
article en

Abstract

This paper presents a comparative analysis of a linear proportional-integral controller and a nonlinear fuzzy logic controller for a bidirectional buck-boost converter in onboard chargers for vehicle-to-grid and grid-to-vehicle applications. The study examines the robustness of both control strategies under voltage variations and assesses their dynamic response to setpoint changes. Simulation results highlight the advantages and limitations of each controller in terms of stability, transient behavior, and adaptability to varying operating conditions. The findings provide insights into selecting the most effective control approach for enhancing the performance and reliability of bidirectional power conversion in electric vehicle charging systems.

Journal of Machine Engineering
Openalex Percentile: Top 73%
Advanced Battery Technologies Research
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.

Performance Evaluation of PI and Fuzzy Logic Controllers for a Bidirectional Buck-Boost DC/DC Converter in V2G and G2V Applications — Rachid El Bachtiri, Abdelaziz Fri, et al. · Journal of Machine Engineering (2025) | TGRS Research Map | TGRS