Rafael Basso, Electrical Engineering

​Route Planning and Energy Consumption Estimation for Electric Commercial Vehicles

​Rafael Basso is a PhD student at Systems and Control/Automatic control

Examiner is Docent Balázs Adam Kulcsár at Systems and Control/Automatic control

Discussion leader is Professor Stefan Engevall from Linköping University

With the recent growing interest for electric vehicles as one of the initiatives to help tackle pollution and climate change, several opportunities and challenges emerge. This kind of vehicle releases no tailpipe emissions, is quieter, more energy ecient in terms of tank-to-wheels and simpler, which can lead to less maintenance. On the other hand their battery is still the main limitation in terms of energy capacity, time to recharge, weight and cost. One of the main consequences is a limitation in driving range, which especially impacts commercial vehicles. In order to adopt electric trucks for urban distribution of goods, there is a need to improve and adapt current planning tools to take into account their constraints. To plan the routes and charging for these vehicles it is necessary to precisely estimate their energy consumption.
This thesis gives an overall background and state of the art review in the introductory chapters. The main contributions are presented in the second part. The rst paper describes a time-dependent electric vehicle
routing problem. It also analyses the dierent factors that aect energy consumption and routing for electric vehicles. The second paper introduces the Two-stage Electric Vehicle Routing Problem (2sEVRP), with a precise
energy consumption estimation model, a rst stage to nd the best paths between the nodes to be visited and the second stage to nd the route considering time-windows and planning charging when necessary. The paper shows numerical experiments with the road network from Gothenburg-Sweden and a high-delity vehicle simulation. The results indicate higher precision in energy estimation and savings while routing when comparing to existing approaches from the literature.

Keywords: Electric Vehicles, Energy Consumption, Vehicle Routing,
Green Logistics, Eco-Routing
Category Licentiate seminar
Location: ES51, lecture room, Linsen, EDIT
Starts: 15 January, 2018, 10:00
Ends: 15 January, 2018, 12:00

Published: Mon 08 Jan 2018. Modified: Thu 11 Jan 2018