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cff-version: 1.2.0
message: 'To cite package "EVchargcost" in publications use:'
type: software
license: GPL-3.0-only
title: 'EVchargcost: Computes and Plot the Optimal Charging Strategy for Electric
  Vehicles'
version: 0.1.0
doi: 10.32614/CRAN.package.EVchargcost
abstract: The purpose of this library is to compute the optimal charging cost function
  for a electric vehicle (EV). It is well known that the charging function of a EV
  is a concave function that can be approximated by a piece-wise linear function,
  so bigger the state of charge, slower the charging process is. Moreover, the other
  important function is the one that gives the electricity price. This function is
  usually step-wise, since depending on the time of the day, the price of the electricity
  is different. Then, the problem of charging an EV to a certain state of charge is
  not trivial. This library implements an algorithm to compute the optimal charging
  cost function, that is, it plots for a given state of charge r (between 0 and 1)
  the minimum cost we need to pay in order to charge the EV to that state of charge
  r. The details of the algorithm are described in González-Rodríguez et at (2023)
  <https://inria.hal.science/hal-04362876v1>.
authors:
- family-names: Gonzalez-Rodriguez
  given-names: Brais
  email: braisgonzalez.rodriguez@usc.es
repository: https://CRAN.R-project.org/package=EVchargcost
date-released: '2024-01-10'
contact:
- family-names: Gonzalez-Rodriguez
  given-names: Brais
  email: braisgonzalez.rodriguez@usc.es