Análise de desempenho e emissões de simulações de caminhões híbridos elétricos com autonomia extendida (REEV)

Abstract

The worsening global climate crisis demands urgent strategies to mitigate environmental impacts in a wide range of human activities. The transport sector is responsible for around 23% of all global CO 2 emissions, and of this total, 29.4% comes from trucks. On the other hand, little research has been conducted on this transport mode. Given the global trend toward the adoption of electric trucks, the strategies adopted in many countries are evaluated. Brazil’s history with biofuels, especially ethanol, indicates that range extended electric vehicles (REEV) are the ideal solution for the country. This work proposes a study of the performance of different truck configurations with power trains (the set of components responsible for propelling the vehicle) in the REEV configuration. Four truck models are proposed, two with a maximum load of 23t and two with 57t, three power levels for the ethanol-powered combustion engine, combined with up to 17 different groups of battery banks in parallel. Thus, one-dimensional powertrain models are developed on the Realis Ignite platform based on commercial components and vehicles. Aided by routines developed in Python, the various powertrain configurations are simulated in successive standardized driving cycles. The combinations with the lowest specific energy consumption are selected, being the minimum 0.633MJ/t.km. The emissions of CO 2 , NO x , CO, and HC were evaluated according to national standards, equivalent to Euro VI, with all simulations being in compliance.