چكيده به لاتين
The purpose of this thesis is to determine the amount of battery charge of an electric bus (or plug-in hybrid) on specified routes for Tehran. The idea of using plug-in hybrid buses in Tehran's metropolis has made to reduce energy consumption, air pollution, adverse environmental impact and noise pollution. The purpose of this thesis is to investigate the feasibility of using electric buses in Tehran metropolis. In addition, it can be said that public transport is an important part of the solution to the country's economic, energy and environmental challenges that enhances the quality of life.
The three cycles namely UDC cycle, Tehran city bus cycle and Rapid transit bus cycle, were used. The main reasons for choosing a plug-in hybrid bus for Tehran (especially Rapid transit for buses) are high efficiency, regeneration braking energy absorption, improving energy consumption and reducing emissions.
For the technical and economic feasibility of using a hybrid electric bus, at first a plug-in hybrid bus is modeled in AVL Cruise software, then the results including fuel consumption and vehicle performance, road slope, maximum speed and acceleration are examined. Finally, in order to validate the simulated model results are compared with the results of a reference paper.
Then bus routes and cycles in Tehran are extracted and analyzed. One of the important factors is the topographic characteristics of each route which has a great impact on the performance of the electric bus. The origin, destination, lines of movement, speed and position can also be defined.
In addition, the performance of the bus on these cycles, the ability of battery charging during stopping at stations, increasing the stopping time at stations, increasing battery capacity and their impact on vehicle performance are also analyzed. Finally, the results of optimization show that by increasing the battery capacity by 80% and stopping time of 87 seconds at each station, the bus can travel all of the way in pure electric mode. It will also reduce fuel consumption by 35.3% as compared to the original mode and increase the battery life and cost.
