Bidirectional Converter Optimal Control for Battery Charge/Discharge System

The bidirectional converter is essential to battery charge/discharge system. However, stabilizing output voltage and current of this converter is a complex task due to nonlinear system behaviour, changing load demands, and the battery’s dynamic characteristics. This paper proposes an optimal control method for a bidirectional converter employed in battery charge/discharge system. The control method utilizes a proportional-integral (PI) scheme, in which the parameters are fine-tuned using the sequential quadratic programming (SQP). The proposed method is simulated and validated using MATLAB/Simulink. Simulation results show that the SQP-tuned PI method greatly enhances the control accuracy and stability, compared to classical fixed-gain PI controllers. The combination of classical control with modern optimization reveals a promising method to enhance energy management in DC microgrid and energy storage applications.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-08-28
DOI
https://doi.org/10.1051/e3sconf/202564503001/pdf
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bidirectional Converter Optimal Control for Battery Charge/Discharge System

Springer Link (Chiba Institute of Technology)
Geochemistry and Geologic Mapping
article

Bidirectional Converter Optimal Control for Battery Charge/Discharge System

article en

Abstract

The bidirectional converter is essential to battery charge/discharge system. However, stabilizing output voltage and current of this converter is a complex task due to nonlinear system behaviour, changing load demands, and the battery’s dynamic characteristics. This paper proposes an optimal control method for a bidirectional converter employed in battery charge/discharge system. The control method utilizes a proportional-integral (PI) scheme, in which the parameters are fine-tuned using the sequential quadratic programming (SQP). The proposed method is simulated and validated using MATLAB/Simulink. Simulation results show that the SQP-tuned PI method greatly enhances the control accuracy and stability, compared to classical fixed-gain PI controllers. The combination of classical control with modern optimization reveals a promising method to enhance energy management in DC microgrid and energy storage applications.

Springer Link (Chiba Institute of Technology)
Affordable and clean energy
Openalex Percentile: Top 59%
Geochemistry and Geologic Mapping
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.