Eventos Anais de eventos
COBEM 2021
26th International Congress of Mechanical Engineering
Methodology for optimizing battery size when converting internal combustion utilities vehicle to electric traction
Submission Author:
Paulo Cezar da Silva , GO , Brazil
Co-Authors:
Paulo Cezar da Silva, Rudi van Els
Presenter: Paulo Cezar da Silva
doi://10.26678/ABCM.COBEM2021.COB2021-1614
Abstract
Methodology for optimizing battery size when converting internal combustion utilities vehicle to electric traction Electric vehicles are seen by many as the cars of the future, as they are highly efficient, quiet, low maintenance costs and they do not produce local pollution. Currently, however, electric cars are still considered expensive. An alternative to buying an electric vehicle is to convert na internal combustion engine vehicle into an electric vehicle. For this, there is a need for a methodology capable of simulating the power and energy needs of the vehicle that leads to specify the optmized size of the engine and battery capacity to do a specific job. This is specially the case with utility vehicles who have a more or less fixed daily trajectory pattern in the highly dense urban areas with relatively short distances and several idle waiting times along its route. The methodologies to dimension electric vehicles converted from combustion vehicles normally work with predetermine dor standard (closed) driving cycles, ignoring unexpected variations in urban traffic routes and realistic demands. The objective of the present work is the development of a methodology for dimensioning and optimization of an electric vehicle based on the survey of the needs of the vehicle and its user. The survey of the needs of the vehicle consists of recording, by means of GPS, the daily trajectory traveled by the vehicle to be converted into electric and the idling waiting time along its trajectory. Thus, with these data, it will be possible to calculate the power and energy necessary for the vehicle to travel the path determined by the user, which will allow the selection of the engine and the battery module to be installed in the vehicle according to the needs raised. An optimization algorithm, based on the maximum flow problem, can calculate the best battery configuration. Taking into account cost restrictions, size and weight allocated in the vehicle for the batteries, idling time along its paths and battery recharging time. As a result, the algorithm can indicate in which stops the user can recharge the vehicle along its path, considering, of course, the time allocated for recharging the batteries at each stop. With this, it is expected to optimize the number of batteries to be installed in the vehicle, in order to minimize the costs of converting the combustion vehicle to an electric one.
Keywords
electric vehicle, Electric Vehicle Methodology, Electric Vehicle Dimensionning, Battery Methodology, Battery dimensionning size, Converted Electric Vehicle
