Energy minimization for an electric bus using a genetic algorithm
Artikel i vetenskaplig tidskrift, 2020

Background and methods: This paper addresses, in simulation, energy minimization of an autonomous electric minibus operating in an urban environment. Two different case studies have been considered, each involving a total of 10 different 2?km bus routes and two different average speeds. In the proposed method, the minibus follows an optimized speed profile, generated using a genetic algorithm. Results: In the first case study the vehicle was able to reduce its energy consumption by around 7 to 12% relative to a baseline case in which it maintains a constant speed between stops, with short acceleration and deceleration phases. In the second case study, involving mass variation (passengers entering and alighting) it was demonstrated that the number of round trips that can be completed on a single battery charge is increased by around 10% using the proposed method.

Energy minimization

Speed profile optimization

Genetic algorithms

Autonomous vehicles

Electric minibuses

Författare

Sina Torabi

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Mauro Bellone

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Mattias Wahde

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

European Transport Research Review

1867-0717 (ISSN) 1866-8887 (eISSN)

Vol. 12 1 2

Sohjoa Baltic

European Commission, 2017-11-17 -- 2020-10-31.

Interreg-BSR, 2017-11-17 -- 2020-10-31.

Ämneskategorier

Övrig annan medicin och hälsovetenskap

Transportteknik och logistik

Nationalekonomi

DOI

10.1186/s12544-019-0393-1

Mer information

Senast uppdaterat

2020-05-25