Estimation and Sensitivity Analysis of Electric Buses Energy Consumption through Microscopic Simulations on Public Transport Lines
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Abstract
The integration of electric mobility is real nowadays. Government policies increasingly focus on encouraging the use of electric vehicles (EVs); particularly, replacing conventional public mobility with electric buses. An adequate energy management of electric bus systems must optimize resource usage, and extend the lifespan of transport units and charging stations, while providing quality service to users. The performance of the EV transport system depends on various deterministic and stochastic variables that need to be accurately simulated to analyze its behavior as closely as possible to real conditions. In this study, a model for the energy analysis of EVs has been implemented, by using the software SUMO (Simulation of Urban Mobility) and applying it to public transport routes in Quito, Ecuador. Through the executed simulations, energy consumption has been estimated and, a sensitivity analysis of the energy consumption of electric bus units to the variations in relevant parameters in the energy management of public transport systems, has been carried out. The impact of certain parameters on energy consumption has been verified, by indicating a significant decrease in the autonomy of EVs on the simulated route under very similar to reality operating conditions. For study case, autonomy reduction of electric bus is around 27% in comparison with manufacturer's specifications. The analysis of energy performance under various traffic scenarios will allow future optimizations of the electric public transport system operation, since traffic levels, variable traffic flow, and pronounced changes in terrain elevation, are considered.
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