Development of the Västra Götaland operating cycle for long-haul heavy-duty vehicles
Artikel i vetenskaplig tidskrift, 2023

In this paper, a complete operating cycle (OC) description is developed for heavy-duty vehicles traveling long distances in the region of Västra Götaland, Sweden. Variation amongst road transport missions is accounted for using a collection of stochastic models. These are parametrized from log data for all the influential road parameters that may affect the energy performance of heavy trucks, including topography, curvature, speed limits, and stop signs. The statistical properties of the developed OC description are investigated numerically by considering some composite variables, condensing the salient information about the road characteristics, and inspired by two existing classification systems. Two examples are adduced to illustrate the potential of the OC format, which enables ease of classification and detailed simulation of energy efficiency for individual vehicles, with application in vehicle design optimization and selection, production planning, and predictive maintenance. In particular, for the track used in the first example, a Volvo FH13 equipped with a diesel engine, simulation results indicate mean CO2 emissions of around 1700 g/km, with a standard deviation of 360 g/km; in the second example, dealing with electrical fleet sizing, the optimal proportion shows a predominance of tractor-semitrailer vehicles (70%) equipping 4 motors and 11 battery packs.

Operating cycle

stochastic modeling

road transport mission

autoregressive models

mission classification

Markov models

Författare

Luigi Romano

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Michele Godio

RISE Research Institutes of Sweden

Pär Johannesson

RISE Research Institutes of Sweden

Fredrik Bruzelius

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Toheed Ghandriz

Volvo Group

Bengt J H Jacobson

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

IEEE Access

2169-3536 (ISSN) 21693536 (eISSN)

Vol. 11 73268-73302

COVER – Bedömning av CO2 och energieffektivitet hos fordon i verklig användning

Energimyndigheten (2017-007895), 2018-01-01 -- 2021-12-31.

VINNOVA (2017-007895), 2018-01-01 -- 2021-12-31.

Nytta och förtroende för elektriska fordon (U-FEEL)

Volvo Group, 2022-10-01 -- 2025-09-30.

Volvo Cars, 2022-10-01 -- 2025-09-30.

Volvo Group, 2022-10-01 -- 2025-09-30.

Scania CV AB, 2022-10-01 -- 2025-09-30.

Energimyndigheten (P2022-00948), 2022-10-01 -- 2025-09-30.

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Energi

Ämneskategorier

Transportteknik och logistik

Farkostteknik

Energisystem

DOI

10.1109/ACCESS.2023.3295989

Mer information

Senast uppdaterat

2024-07-08