Hazard based modelling of electric vehicles charging patterns

Nicoló Daina, John W. Polak

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

12 Citations (Scopus)
23 Downloads (Pure)

Abstract

Understanding and predicting charging behaviour of electric vehicles' users is essential for the appropriate design of charging services and for the implementation aggregator services mediating between electric vehicle drivers, electricity markets, distribution system operator, and transmission system operator. Research into actionable charging behaviour insights to be implemented in predictive models has so far been modest. The present paper intends to contribute at the development of predictive models of charging patterns for operational implementation. It proposes hazard-based analysis of the gap times between charging events model with time dependent covariates in order to investigate which set of potential covariates that will enable an eventual formulation of short-term predictive model of the timing of charging events. Empirical estimation of the hazard model shows that both monitored vehicle state variables (e.g. state of charge, cumulative average driving speed) and individual characteristics significantly affect the instantaneous rate of occurrence of charging events.

Original languageEnglish
Title of host publication2016 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2016
Pages479-484
Number of pages6
ISBN (Electronic)9781509012725
DOIs
Publication statusPublished - 13 Jul 2016
Event2016 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2016 - Busan, Korea, Republic of
Duration: 1 Jun 20164 Jun 2016

Publication series

Name2016 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2016

Conference

Conference2016 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2016
Country/TerritoryKorea, Republic of
CityBusan
Period1/06/164/06/16

Keywords

  • charging behaviour prediction
  • electric vehicles
  • electric vehicles charging behaviour
  • hazards models
  • power distribution

Fingerprint

Dive into the research topics of 'Hazard based modelling of electric vehicles charging patterns'. Together they form a unique fingerprint.

Cite this