Stochastic modeling of mission stops and variable cargo weight for heavy-duty trucks
Paper i proceeding, 2023

The vehicle’s mass is one of the most influential parameters in determining energy consumption. Indeed, the inertial terms are approximately proportional to the instantaneous power required by the prime mover to sustain or accelerate the vehicle. In particular, heavy-duty trucks used in goods distribution are subject to frequent changes in payload, depending on the specific task or sequence of tasks to be executed. In this context, the variability of the cargo weight is clearly reflected in the energy performance, which may exhibit a relatively large spread compared to the nominal operational conditions. The present paper proposes a stochastic model for mission stops and variable cargo weight for heavy-duty trucks. The model is parametrized using log data acquired during real-world road operations and differentiates between multiple working conditions of the vehicle. The model is formally analyzed concerning to the probability distribution and expectation of the cargo weight and the mean number of mission stops. The stochastic description is finally integrated with full driver and vehicle models in a virtual simulation environment, and a comparison is performed against log data to validate the proposed formulation. The comparison shows an encouragingly good agreement with the empirical evidence.

Markov models

probability distributions

road transport mission

Operating cycle

stochastic modeling

cargo weight

Författare

Luigi Romano

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Carl Emvin

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Fredrik Bruzelius

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Pär Johannesson

RISE Research Institutes of Sweden

Rickard Andersson

Volvo Group

Bengt Jacobson

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

2023 IEEE Vehicle Power and Propulsion Conference


9798350344455 (ISBN)

2023 IEEE Vehicle Power and Propulsion Conference
Milan, Italy,

Nytta och förtroende för elektriska fordon U-FEEL

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

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

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

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

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

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.

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Energi

Ämneskategorier

Transportteknik och logistik

Farkostteknik

DOI

10.1109/VPPC60535.2023.10403336

Mer information

Senast uppdaterat

2024-03-01