The University of Southampton
University of Southampton Institutional Repository

MATLAB codes for predicting fast charging station usage, user waiting times and a battery thermal model

MATLAB codes for predicting fast charging station usage, user waiting times and a battery thermal model
MATLAB codes for predicting fast charging station usage, user waiting times and a battery thermal model
This dataset holds the MATLAB codes for the PhD thesis "Overcoming the Electricity Grid Capacity and Battery Thermal Limitations of Electric Vehicle Fast Charging using Stationary Energy Storage and Cell Thermal Modelling" by Thomas Bryden. The files for Chapter 3 include codes to predict daily demand at fast charging stations. The files for Chapter 4 include codes to determine electric vehicle waiting times at fast charging stations. The files for Chapter 5 include codes for a battery thermal model as well as least squares regression to determine heat capacity of cells. This research was funded by EPSRC (Centre for Doctoral Training in Energy Storage and its Applications. EP/L016818/1 and ELEctrochemical Vehicle Advanced TEchnology (ELEVATE). EP/M009394/1).
electric vehicle, fast charging, fast charging station, GPS vehicle data, waiting time model, battery, thermal model, specific heat capacity
University of Southampton
Bryden, Thomas, Samuel
451e1fd4-25ab-4771-9e69-0598acf6d626
Bryden, Thomas, Samuel
451e1fd4-25ab-4771-9e69-0598acf6d626

Bryden, Thomas, Samuel (2019) MATLAB codes for predicting fast charging station usage, user waiting times and a battery thermal model. University of Southampton doi:10.5258/SOTON/D0768 [Dataset]

Record type: Dataset

Abstract

This dataset holds the MATLAB codes for the PhD thesis "Overcoming the Electricity Grid Capacity and Battery Thermal Limitations of Electric Vehicle Fast Charging using Stationary Energy Storage and Cell Thermal Modelling" by Thomas Bryden. The files for Chapter 3 include codes to predict daily demand at fast charging stations. The files for Chapter 4 include codes to determine electric vehicle waiting times at fast charging stations. The files for Chapter 5 include codes for a battery thermal model as well as least squares regression to determine heat capacity of cells. This research was funded by EPSRC (Centre for Doctoral Training in Energy Storage and its Applications. EP/L016818/1 and ELEctrochemical Vehicle Advanced TEchnology (ELEVATE). EP/M009394/1).

Text
Chapter_3_ReadData.m - Model
Download (2kB)
Text
Chapter_3_Model.m - Model
Download (7kB)
Text
Chapter_4_Model_1.m - Model
Download (18kB)
Text
Chapter_4_Model_2.m - Model
Download (18kB)
Text
Chapter_5_LeastSquares.m - Model
Download (1kB)
Text
Chapter_5_Thermal_Model.m - Model
Download (2kB)

Show all 6 downloads.

More information

Published date: 2019
Keywords: electric vehicle, fast charging, fast charging station, GPS vehicle data, waiting time model, battery, thermal model, specific heat capacity
Organisations: School of Engineering

Identifiers

Local EPrints ID: 427217
URI: http://eprints.soton.ac.uk/id/eprint/427217
PURE UUID: 904de57c-8ecf-4120-8363-795c9803c4e0

Catalogue record

Date deposited: 08 Jan 2019 17:31
Last modified: 12 Nov 2023 12:39

Export record

Altmetrics

Contributors

Creator: Thomas, Samuel Bryden

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.

×