Simulation-based assessment of wheel torque allocation strategies on heavy vehicles with drivetrains on multiple axles

Battery electric heavy vehicles with a drivetrain on each axle and friction brake on each wheel offer significant opportunities to enhance vehicle performance and energy efficiency. This paper presents three actuator coordination algorithms for an all-wheel driven heavy vehicle to influence the wheel torque with the aim of optimising the power efficiency and vehicle stability. Two of these algorithms exploit the principle of instantaneous power loss minimisation by using the power loss models of actuators. The wheel force limits were included as a constraint to ensure safe vehicle operation. These strategies were simulated using a high-fidelity vehicle model, including simplified models for the powertrain and friction brakes. Measures such as the power loss of the actuators, longitudinal tyre slip losses, and energy consumption of the coordination strategies during a realistic drive cycle were analysed. Results show that the power loss minimisation algorithm including idle losses in the decision logic, can reduce the energy consumption by up to 7% compared to a strategy only maximising tyre grip. • Wheel torque allocation strategies for a heavy vehicle with multiple drivetrains. • Power loss minimisation of electric machines and friction brakes. • Wheel force limits included to ensure safe performance. • Inclusion of idle (no load) loss in the power loss minimisation algorithm.

Authors

Institutions

Publication Details

Journal
Transportation Engineering
Published
2025-03-26
DOI
https://doi.org/10.1016/j.treng.2025.100322
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation-based assessment of wheel torque allocation strategies on heavy vehicles with drivetrains on multiple axles

Bengt Jacobson, Esteban R. Gelso, Sachin Janardhanan, Mats Jonasson et al.
Transportation Engineering
Vehicle Dynamics and Control Systems
article

Simulation-based assessment of wheel torque allocation strategies on heavy vehicles with drivetrains on multiple axles

Bengt Jacobson, Esteban R. Gelso, Sachin Janardhanan, Mats Jonasson, Leon Henderson
article en

Abstract

Battery electric heavy vehicles with a drivetrain on each axle and friction brake on each wheel offer significant opportunities to enhance vehicle performance and energy efficiency. This paper presents three actuator coordination algorithms for an all-wheel driven heavy vehicle to influence the wheel torque with the aim of optimising the power efficiency and vehicle stability. Two of these algorithms exploit the principle of instantaneous power loss minimisation by using the power loss models of actuators. The wheel force limits were included as a constraint to ensure safe vehicle operation. These strategies were simulated using a high-fidelity vehicle model, including simplified models for the powertrain and friction brakes. Measures such as the power loss of the actuators, longitudinal tyre slip losses, and energy consumption of the coordination strategies during a realistic drive cycle were analysed. Results show that the power loss minimisation algorithm including idle losses in the decision logic, can reduce the energy consumption by up to 7% compared to a strategy only maximising tyre grip. • Wheel torque allocation strategies for a heavy vehicle with multiple drivetrains. • Power loss minimisation of electric machines and friction brakes. • Wheel force limits included to ensure safe performance. • Inclusion of idle (no load) loss in the power loss minimisation algorithm.

Transportation EngineeringVol. 20
Volvo (Sweden) (SE), Chalmers University of Technology (SE)
Affordable and clean energy
Openalex Percentile: Top 95%
Vehicle Dynamics and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.