LAPSE:2023.8103
Published Article
LAPSE:2023.8103
Dynamic Characteristic Improvement of Integrated On-Board Charger Using a Model Predictive Control
February 24, 2023
Abstract
This paper proposes a dynamic characteristic improvement of an integrated on-board charger (OBC) using a model predictive control (MPC) method. The integrated OBC performs both battery charging and starter generator (SG) driving for engine starting in plug-in hybrid electric vehicles (PHEVs). If it performs battery charging, battery-side voltage and battery-side current are control objects which are usually controlled by using a proportional-integral (PI) controller. However, it has the disadvantage of undesirable dynamic characteristics, and gain tuning of the PI controller is necessary to properly control the voltage and current. Therefore, this paper proposes the MPC method for the dynamic characteristic improvement of integrated OBC. It can achieve not only dynamic characteristic improvement, but also robustness from the abrupt change of load impedance. By using the proposed MPC method for integrated OBC, the settling time to control the output voltage is decreased by 50% in the transient state compared to that by using the PI controller. The effectiveness of the proposed MPC method is verified by simulation and experimental results.
Keywords
dynamic characteristic improvement, model predictive control method, on-board charger, plug-in hybrid electric vehicle
Suggested Citation
Bak Y. Dynamic Characteristic Improvement of Integrated On-Board Charger Using a Model Predictive Control. (2023). LAPSE:2023.8103
Author Affiliations
Bak Y: Department of Electrical Energy Engineering, Keimyung University, Daegu 42601, Republic of Korea [ORCID]
Journal Name
Energies
Volume
15
Issue
22
First Page
8745
Year
2022
Publication Date
2022-11-21
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15228745, Publication Type: Journal Article
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LAPSE:2023.8103
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https://doi.org/10.3390/en15228745
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Feb 24, 2023
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