Energy-Efficient Automated Driving for Everyday Maneuvers: Fundamentals to Experimentation

扫码查看

原文链接

NETL
NSTL
IEEE

外文摘要：Energy-efficient driving is a key advancement in the deployment of automated vehicles once safety concerns are addressed. This letter formulates the energy-efficient driving problem with constraints and explores various solution methods for common driving scenarios. The findings, rooted in theory of optimal control and Pontryagin’s Minimum Principle (PMP), offer fundamental insights into energy-efficient driving strategies in every-day driving scenarios. Analytical insights from PMP, coupled with fast analytical solution of the respective boundary value problem, enabled implementation in a real-time control system and near-optimal energy savings. The proposed approach was validated through real vehicle testing on the track, with results demonstrating that automated eco-driving can achieve significant energy savings over human drivers in basic daily driving scenarios. This letter not only highlights the effectiveness of the proposed approach but also provides practical guidance for integrating energy-efficient driving strategies into real-world automated driving and advanced driver assistance systems.

外文关键词：

VehiclesRoadsArtificial intelligenceTrainingEnergy efficiencyData miningFuelsEnergy conservationAerodynamicsTrajectory

作者：

Tyler Ard、Jihun Han、Prakhar Gupta、Dominik Karbowski、Yunyi Jia、Ardalan Vahidi

展开 >

作者单位：

Department of Mechanical Engineering, Clemson University, Clemson, SC, USA|Vehicle and Mobility Systems Department, Argonne National Laboratory, Lemont, IL, USA

Vehicle and Mobility Systems Department, Argonne National Laboratory, Lemont, IL, USA

Department of Automotive Engineering, Clemson University, Clemson, SC, USA

Department of Mechanical Engineering, Clemson University, Clemson, SC, USA

展开 >

出版年：

2025

DOI：

10.1109/LCSYS.2025.3539207

IEEE Control Systems Letters

ISSN：

年,卷(期)：2025.9(1)

参考文献量18