The University of Southampton
University of Southampton Institutional Repository

Model predictive control of off-board PEV charger

Model predictive control of off-board PEV charger
Model predictive control of off-board PEV charger

This paper presents a three-phase off-board charger for plug-in electric vehicles (PEV) with model predictive direct power control (MPDPC) for PEV battery charging. In the paper, the system description of the PEV charger is explained and its control is thoroughly discussed. Then, the steady-state characteristics of the charger is verified using MATLAB Simulink to confirm the feasibility of the PEV charger using MPDPC. Results show good power delivery for battery charging with respect to preset active and reactive power references while providing constant battery charging voltage and current.

Model predictive direct power control, Plug-in electric vehicle
1876-1100
167-172
Springer
Tan, Adrian Soon Theam
2f1536e0-9cf7-49ba-bea5-3889400bde03
Ishak, Dahaman
6d062aed-a30b-4ccf-9fc5-da6b449edfaa
Mohd-Mokhtar, Rosmiwati
1e97bd75-2335-4cc5-bd17-8164cf99c956
Lee, Sze Sing
47f36964-db27-4f5e-a4d3-4b0ba78ce29e
Md Zawawi, Mohamad Adzhar
Teoh, Soo Siang
Abdullah, Noramalina Binti
Mohd Sazali, Mohd Ilyas Sobirin
Tan, Adrian Soon Theam
2f1536e0-9cf7-49ba-bea5-3889400bde03
Ishak, Dahaman
6d062aed-a30b-4ccf-9fc5-da6b449edfaa
Mohd-Mokhtar, Rosmiwati
1e97bd75-2335-4cc5-bd17-8164cf99c956
Lee, Sze Sing
47f36964-db27-4f5e-a4d3-4b0ba78ce29e
Md Zawawi, Mohamad Adzhar
Teoh, Soo Siang
Abdullah, Noramalina Binti
Mohd Sazali, Mohd Ilyas Sobirin

Tan, Adrian Soon Theam, Ishak, Dahaman, Mohd-Mokhtar, Rosmiwati and Lee, Sze Sing (2019) Model predictive control of off-board PEV charger. Md Zawawi, Mohamad Adzhar, Teoh, Soo Siang, Abdullah, Noramalina Binti and Mohd Sazali, Mohd Ilyas Sobirin (eds.) In 10th International Conference on Robotics, Vision, Signal Processing and Power Applications - Enabling Research and Innovation Towards Sustainability. vol. 547, Springer. pp. 167-172 . (doi:10.1007/978-981-13-6447-1_21).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper presents a three-phase off-board charger for plug-in electric vehicles (PEV) with model predictive direct power control (MPDPC) for PEV battery charging. In the paper, the system description of the PEV charger is explained and its control is thoroughly discussed. Then, the steady-state characteristics of the charger is verified using MATLAB Simulink to confirm the feasibility of the PEV charger using MPDPC. Results show good power delivery for battery charging with respect to preset active and reactive power references while providing constant battery charging voltage and current.

This record has no associated files available for download.

More information

e-pub ahead of print date: 2 April 2019
Venue - Dates: 10th International Conference on Robotic, Vision, Signal Processing and Power Applications, ROVISP 2018, , Penang, Malaysia, 2018-08-14 - 2018-08-15
Keywords: Model predictive direct power control, Plug-in electric vehicle

Identifiers

Local EPrints ID: 433049
URI: http://eprints.soton.ac.uk/id/eprint/433049
ISSN: 1876-1100
PURE UUID: 86feaced-1d28-4548-8225-f4ef4aba00ba
ORCID for Sze Sing Lee: ORCID iD orcid.org/0000-0003-2455-5783

Catalogue record

Date deposited: 07 Aug 2019 16:30
Last modified: 16 Mar 2024 03:21

Export record

Altmetrics

Contributors

Author: Adrian Soon Theam Tan
Author: Dahaman Ishak
Author: Rosmiwati Mohd-Mokhtar
Author: Sze Sing Lee ORCID iD
Editor: Mohamad Adzhar Md Zawawi
Editor: Soo Siang Teoh
Editor: Noramalina Binti Abdullah
Editor: Mohd Ilyas Sobirin Mohd Sazali

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×