Bidirectional DC/DC converter based on the model predictive control method: Application to the battery

Jinhong Sun; Ka Wai Eric Cheng

doi:10.1109/PESA50370.2020.9344025

Bidirectional DC/DC converter based on the model predictive control method: Application to the battery

Jinhong Sun
, Ka Wai Eric Cheng

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

To solve the battery voltage instability and the system's power imbalance problem, which mainly caused by uncertainty in DC microgrid and load fluctuations, the mode-activated finite set model predictive control (MPC) algorithm for bidirectional DC/DC converter (Bi-DCC) is proposed. This control strategy's primary purpose is to maintain the battery side voltage within the expected value range. After the prefer limitation values of the fluctuation range for the battery's upper and lower voltage is set, the converter can be operated flexible between the buck operation and boost operation modes based on the real-time battery voltage through the using of the designed MPC module. The proposed control method is validated can quickly and stabilized the battery side voltage value reaches the pre-set limation values through the simulations.

Original language	English
Title of host publication	2020 8th International Conference on Power Electronics Systems and Applications
Subtitle of host publication	Future Mobility and Future Power Transfer, PESA 2020
Editors	K.W. Eric Cheng
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728193823
DOIs	https://doi.org/10.1109/PESA50370.2020.9344025
Publication status	Published - 7 Dec 2020
Event	8th International Conference on Power Electronics Systems and Applications, PESA 2020 - Hong Kong, China Duration: 7 Dec 2020 → 10 Dec 2020

Publication series

Name	2020 8th International Conference on Power Electronics Systems and Applications: Future Mobility and Future Power Transfer, PESA 2020

Conference

Conference	8th International Conference on Power Electronics Systems and Applications, PESA 2020
Country/Territory	China
City	Hong Kong
Period	7/12/20 → 10/12/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Battery
Bidirectional DC/DC converter (Bi-DCC)
Model predictive control

ASJC Scopus subject areas

Electrical and Electronic Engineering
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Automotive Engineering

More information

10.1109/PESA50370.2020.9344025

Cite this

Sun, J., & Cheng, K. W. E. (2020). Bidirectional DC/DC converter based on the model predictive control method: Application to the battery. In K. W. E. Cheng (Ed.), 2020 8th International Conference on Power Electronics Systems and Applications: Future Mobility and Future Power Transfer, PESA 2020 Article 9344025 (2020 8th International Conference on Power Electronics Systems and Applications: Future Mobility and Future Power Transfer, PESA 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PESA50370.2020.9344025

Sun, Jinhong ; Cheng, Ka Wai Eric. / Bidirectional DC/DC converter based on the model predictive control method: Application to the battery. 2020 8th International Conference on Power Electronics Systems and Applications: Future Mobility and Future Power Transfer, PESA 2020. editor / K.W. Eric Cheng. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 8th International Conference on Power Electronics Systems and Applications: Future Mobility and Future Power Transfer, PESA 2020).

@inproceedings{8bc0b9d739fe44edb137c5717fdf1557,

title = "Bidirectional DC/DC converter based on the model predictive control method: Application to the battery",

abstract = "To solve the battery voltage instability and the system's power imbalance problem, which mainly caused by uncertainty in DC microgrid and load fluctuations, the mode-activated finite set model predictive control (MPC) algorithm for bidirectional DC/DC converter (Bi-DCC) is proposed. This control strategy's primary purpose is to maintain the battery side voltage within the expected value range. After the prefer limitation values of the fluctuation range for the battery's upper and lower voltage is set, the converter can be operated flexible between the buck operation and boost operation modes based on the real-time battery voltage through the using of the designed MPC module. The proposed control method is validated can quickly and stabilized the battery side voltage value reaches the pre-set limation values through the simulations.",

keywords = "Battery, Bidirectional DC/DC converter (Bi-DCC), Model predictive control",

author = "Jinhong Sun and Cheng, \{Ka Wai Eric\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 8th International Conference on Power Electronics Systems and Applications, PESA 2020 ; Conference date: 07-12-2020 Through 10-12-2020",

year = "2020",

month = dec,

day = "7",

doi = "10.1109/PESA50370.2020.9344025",

language = "English",

series = "2020 8th International Conference on Power Electronics Systems and Applications: Future Mobility and Future Power Transfer, PESA 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Cheng, \{K.W. Eric\}",

booktitle = "2020 8th International Conference on Power Electronics Systems and Applications",

}

Sun, J & Cheng, KWE 2020, Bidirectional DC/DC converter based on the model predictive control method: Application to the battery. in KWE Cheng (ed.), 2020 8th International Conference on Power Electronics Systems and Applications: Future Mobility and Future Power Transfer, PESA 2020., 9344025, 2020 8th International Conference on Power Electronics Systems and Applications: Future Mobility and Future Power Transfer, PESA 2020, Institute of Electrical and Electronics Engineers Inc., 8th International Conference on Power Electronics Systems and Applications, PESA 2020, Hong Kong, China, 7/12/20. https://doi.org/10.1109/PESA50370.2020.9344025

Bidirectional DC/DC converter based on the model predictive control method: Application to the battery. / Sun, Jinhong; Cheng, Ka Wai Eric.
2020 8th International Conference on Power Electronics Systems and Applications: Future Mobility and Future Power Transfer, PESA 2020. ed. / K.W. Eric Cheng. Institute of Electrical and Electronics Engineers Inc., 2020. 9344025 (2020 8th International Conference on Power Electronics Systems and Applications: Future Mobility and Future Power Transfer, PESA 2020).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Bidirectional DC/DC converter based on the model predictive control method: Application to the battery

AU - Sun, Jinhong

AU - Cheng, Ka Wai Eric

PY - 2020/12/7

Y1 - 2020/12/7

N2 - To solve the battery voltage instability and the system's power imbalance problem, which mainly caused by uncertainty in DC microgrid and load fluctuations, the mode-activated finite set model predictive control (MPC) algorithm for bidirectional DC/DC converter (Bi-DCC) is proposed. This control strategy's primary purpose is to maintain the battery side voltage within the expected value range. After the prefer limitation values of the fluctuation range for the battery's upper and lower voltage is set, the converter can be operated flexible between the buck operation and boost operation modes based on the real-time battery voltage through the using of the designed MPC module. The proposed control method is validated can quickly and stabilized the battery side voltage value reaches the pre-set limation values through the simulations.

AB - To solve the battery voltage instability and the system's power imbalance problem, which mainly caused by uncertainty in DC microgrid and load fluctuations, the mode-activated finite set model predictive control (MPC) algorithm for bidirectional DC/DC converter (Bi-DCC) is proposed. This control strategy's primary purpose is to maintain the battery side voltage within the expected value range. After the prefer limitation values of the fluctuation range for the battery's upper and lower voltage is set, the converter can be operated flexible between the buck operation and boost operation modes based on the real-time battery voltage through the using of the designed MPC module. The proposed control method is validated can quickly and stabilized the battery side voltage value reaches the pre-set limation values through the simulations.

KW - Battery

KW - Bidirectional DC/DC converter (Bi-DCC)

KW - Model predictive control

UR - https://www.scopus.com/pages/publications/85101328117

U2 - 10.1109/PESA50370.2020.9344025

DO - 10.1109/PESA50370.2020.9344025

M3 - Conference article published in proceeding or book

AN - SCOPUS:85101328117

T3 - 2020 8th International Conference on Power Electronics Systems and Applications: Future Mobility and Future Power Transfer, PESA 2020

BT - 2020 8th International Conference on Power Electronics Systems and Applications

A2 - Cheng, K.W. Eric

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th International Conference on Power Electronics Systems and Applications, PESA 2020

Y2 - 7 December 2020 through 10 December 2020

ER -

Sun J, Cheng KWE. Bidirectional DC/DC converter based on the model predictive control method: Application to the battery. In Cheng KWE, editor, 2020 8th International Conference on Power Electronics Systems and Applications: Future Mobility and Future Power Transfer, PESA 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9344025. (2020 8th International Conference on Power Electronics Systems and Applications: Future Mobility and Future Power Transfer, PESA 2020). doi: 10.1109/PESA50370.2020.9344025

Bidirectional DC/DC converter based on the model predictive control method: Application to the battery

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this