Abstract
This paper presents an improved moving discretized control set model predictive control (MDCS-MPC) scheme for a dual active bridge (DAB) converter-based battery charger, aimed at achieving improved current regulation performance with reduced computational demand. To achieve these objectives, the proposed strategy incorporates a reduced-order average model of the DAB for precise state prediction and utilizes a hybrid PI-MPC framework that selectively excludes half of the control set candidates. Simulation results validate the proposed scheme’s superior dynamic response and steady-state performance, confirming its suitability for advanced battery charging applications.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2024 2nd Power Electronics and Power System Conference, PEPSC 2024 |
| Editors | Xu Yan, Lijun Hang, Bin Li |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 150-154 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350390193 |
| DOIs | |
| Publication status | Published - 2024 |
| Externally published | Yes |
| Event | 2nd Power Electronics and Power System Conference, PEPSC 2024 - Singapore, Singapore Duration: Nov 6 2024 → Nov 9 2024 |
Publication series
| Name | Proceedings - 2024 2nd Power Electronics and Power System Conference, PEPSC 2024 |
|---|
Conference
| Conference | 2nd Power Electronics and Power System Conference, PEPSC 2024 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 11/6/24 → 11/9/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
ASJC Scopus Subject Areas
- Marketing
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality
- Control and Optimization
- Geography, Planning and Development
Keywords
- Dual active bridge (DAB)
- moving discretized control set model predictive control (MDCS-MPC)
