Optimization Based Design of Heterogeneous Truck Fleet and Electric Propulsion
Paper i proceeding, 2016

Many researches have been focused on vehicle routing problem during past decades where subject vehicles are previously fully designed and ready to start operation. Further, extensive studies have been done on powertrain design irrespective of the routes where the vehicle is going to be employed. In the present paper, we try to define a new branch of problems where the vehicle design, in particular its propulsion system and loading capacity, is treated simultaneously with the routing problem. The focus is on optimization based design of heterogeneous electric truck fleet to perform a prescribed task with a lowest cost on an available set of routes. The approach is illustrated in a simple case study problem. It is shown that long heavy combination vehicles are energy-efficient but not cost-optimal on short routes.

Routing problems

Energy efficient

Trucks

Vehicle design

Electric truck

Powertrain design

Intelligent vehicle highway systems

Vehicles

Energy efficiency

Loading capacities

Intelligent systems

Propulsion system

Vehicle routing

Fleet operations

Vehicle Routing Problems

Propulsion

Författare

Toheed Ghandriz

Chalmers, Tillämpad mekanik, Fordonsteknik och autonoma system

Jonas Hellgren

Volvo Group

Manjurul Islam

Chalmers, Tillämpad mekanik, Fordonsteknik och autonoma system

Leo Laine

Chalmers, Tillämpad mekanik, Fordonsteknik och autonoma system

Bengt J H Jacobson

Chalmers, Tillämpad mekanik, Fordonsteknik och autonoma system

Proceedings, ITSC. IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), November 1-4, 2016, Rio de Janeiro, Brazil

Art no 7795575, Pages 328-335
978-1-5090-1889-5 (ISBN)

Ämneskategorier

Maskinteknik

Farkostteknik

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Building Futures (2010-2018)

Produktion

Energi

Lärande och undervisning

Pedagogiskt arbete

DOI

10.1109/ITSC.2016.7795575

ISBN

978-1-5090-1889-5

Mer information

Senast uppdaterat

2018-11-15