Energy minimization for an electric bus using a genetic algorithm
Journal article, 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

Author

Sina Torabi

Chalmers, Mechanics and Maritime Sciences, Vehicle Engineering and Autonomous Systems

Mauro Bellone

Chalmers, Mechanics and Maritime Sciences, Vehicle Engineering and Autonomous Systems

Mattias Wahde

Chalmers, Mechanics and Maritime Sciences, Vehicle Engineering and Autonomous Systems

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.

Subject Categories

Other Medical Sciences not elsewhere specified

Transport Systems and Logistics

Economics

DOI

10.1186/s12544-019-0393-1

More information

Latest update

5/25/2020