Abstract

Flexible and economic systems for electric operation of road vehicles is an area of interest for researchand development. This report applies such systems to the operation of city buses in Linköping. An LTHdeveloped software for simulations and economic optimizations of such systems is used and a few systemdesigns are presented. The tested systems differ in selection of bus lines and the type of chargingsystem: bus stop charger, high power bus stop charger and electric road. An attempt to a realistic costand performance estimate of the main components is presented. All buses are assumed to operatewith the same time table as today. Under some of the assumptions these systems are shown to becost competitive to diesel and gas buses in addition to being quieter and without local pollution. Thisresult is however uncertain due to the difficulty in predicting the cost of new technologies and due toother sources of error such as error in assumed energy consumption.

Abstract

The report gives an extensive overview of the results of the project entity Electric Commercial Vehicles (ECV) that was active 2012–2016 under EVE programme of the Finnish Funding Agency for Technology and Innovation (Tekes). Contributions to this final report have been made as articles written by several project participants. All the key themes of the project are covered: battery technologies and their applications, electric powertrains and electric vehicles, city buses, non-road mobile machinery, electric commercial vehicle systems and charging, as well as electric vehicles in connection with power grid. Several businesses and products have been launched during the project's span, and continue to emerge and develop in this dynamically progressing field.

Abstract

This paper presents the first phase of the redevelopment of the Electric Vehicle Scenario Simulator (EVeSSi) tool. A new methodology to generate traffic demand scenarios for the Simulation of Urban MObility (SUMO) tool for urban traffic simulation is described. This methodology is based on a Portugal census database to generate a synthetic population for a given area under study. A realistic case study of a Portuguese city, Vila Real, is assessed. For this area the road network was created along with a synthetic population and public transport. The traffic results were obtained and an electric buses fleet was evaluated assuming that the actual fleet would be replaced in a near future. The energy requirements to charge the electric fleet overnight were estimated in order to evaluate the impacts that it would cause in the local electricity network.