3DOF Vehicle Dynamics Model for Fuel Consumption Estimation

Author:

De Carlo Matteo1,Dragone Paolo1,Tempone Giuseppe Pio1,Carello Massimiliana1

Affiliation:

1. Politecnico di Torino

Abstract

<div class="section abstract"><div class="htmlview paragraph">The dynamic model is built in Siemens Simcenter Amesim platform and simulates the performances on track of JUNO, a low energy demanding Urban Concept vehicle to take part in the Shell Eco-Marathon competition, in which the goal is to achieve the lowest fuel consumption in covering some laps of a racetrack, with limitations on the maximum race time.</div><div class="htmlview paragraph">The model starts with the longitudinal dynamics, analysing all the factors that characterize the vehicle’s forward resistance, like aerodynamic forces, altimetry changes and rolling resistance.</div><div class="htmlview paragraph">To improve the correlation between simulation and track performances, the model has been updated with the implementation of a Single-Track Model, including vehicle rotation around its roll axis, and a 3D representation of the racetrack, with an automatic trajectory following control implemented. This is crucial to characterise the vehicle’s lateral dynamics, which cannot be neglected in simulating its performances on track.</div><div class="htmlview paragraph">Analysis of suspension geometry, vehicle mass distribution and tire characteristics are made to properly define the parameters of the model, which is used for the optimal race strategy model.</div><div class="htmlview paragraph">The model has been validated by analysis of performance data obtained by the properly made telemetry system during the 2023 competition, and it predicts with good accuracy the fuel consumption obtained.</div></div>

Publisher

SAE International

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Control System for Regenerative Braking Efficiency in Electric Vehicles with Electro-Actuated Brakes;SAE International Journal of Vehicle Dynamics, Stability, and NVH;2024-05-01

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