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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).

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Chapter_3_ReadData.m - Model
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Chapter_3_Model.m - Model
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Chapter_4_Model_1.m - Model
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Chapter_4_Model_2.m - Model
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Chapter_5_LeastSquares.m - Model
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Chapter_5_Thermal_Model.m - Model
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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: https://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: 08 Jan 2019 17:31

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Contributors

Creator: Thomas, Samuel Bryden

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