# minimum_cost: Computes the minimum cost function In EVchargcost: Computes and Plot the Optimal Charging Strategy for Electric Vehicles

 minimum_cost R Documentation

## Computes the minimum cost function

### Description

Function that computes the minimal cost function for a given charging function (given by a, alpha and beta), an electricity price function (given by delta and gamma), a consumption tau and a range R

### Usage

``````minimum_cost(a, alpha, beta, delta, gamma, tau, R)
``````

### Arguments

 `a` vector with the breaking points of charging function in the x-axis `alpha` vector with the slopes of the charging function on each segment `beta` vector with the y-intercepts of the charging function on each segment `delta` vector with the times duration of each segment of electricity price function `gamma` vector with the prices of the electricity on each segment of electricity price function `tau` consumption of the vehicle (numerical value) `R` range of the vehicle (numerical value)

### Value

list with the x-values and y-values of the minimum cost function

### Examples

``````a <- c(0,3.3,6.6,10)
alpha <- c(0.1757576, 0.07272727, 0.05294118)
beta <- c(0, 0.34, 0.4705882)
delta <- c(4, 3, 5)
gamma <- c(0.45, 0.25, 0.5)
tau <- 0.15
R <- 250
opt_cost_function = minimum_cost(a, alpha, beta, delta, gamma, tau, R)
print(opt_cost_function)
``````

EVchargcost documentation built on May 29, 2024, 8:29 a.m.