The selection of an electric vehicle for the existing photovoltaic system - case study in Polish climatic conditions

Abstract

The article presents an algorithm for selecting an electric vehicle for your photovoltaic system. Generating electricity by distributed photovoltaic systems is a very visible trend across Europe. Individual and institutional owners are looking for opportunities to save large amounts of money spent on the purchase of electricity. Many times they have built a photovoltaic system larger than their current energy needs. The author suggests a solution to increase the energy produced for own needs instead of giving it to the power grid at unfavorable prices. Such a solution is the purchase of an electric vehicle that will be charged with surplus energy. Research on the selection of a vehicle for a photovoltaic system should start with a precise profile of the current energy consumption from the power grid, energy production from the photovoltaic system and transferring its excess to the power grid. The next step is to characterize the potential electric vehicle. Such characteristics include determination of the energy capacity of the traction battery and the methods of its charging. The final stage is the analytical confirmation of the choice made. For this purpose, the Metalog family of distributions was used to determine the probability of generating the appropriate hourly amount of energy needed to charge an electric vehicle.

Strategic Model for Yellow Hydrogen Production Using the Metalog Family of Probability Distributions

“…They also used recurrent neural networks to predict the amount of electricity produced from renewable energy sources for use in charging electric vehicles [122]. The metalog family of probability distributions turned out to be very effective, and the authors used it to select the power of the photovoltaic system for their electric vehicle and vice versa [123]. There are very strong similarities in the case of charging electric vehicles and producing yellow hydrogen from the energy obtained from the sun.…”

A Method for Assessing the Technical Condition of Traction Batteries Using the Metalog Family of Probability Distributions

“…Electric vehicles are the most ecological if the energy from Renewable Energy Sources is used to charge their traction batteries. More and more often, owners of single-family houses design and build a photovoltaic system with a sufficiently high peak power so that it can supply both the house and an electric vehicle with electricity [82,83]. Electric vehicles are the important components in the home energy production and consumption systems [84].…”