An adaptive cruise control for connected energy-saving electric vehicles

被引：47

作者：

Bertoni, Lorenzo ^{[2
]}

Guanetti, Jacopo ^{[1
]}

Basso, Maria ^{[2
]}

Masoero, Marco ^{[2
]}

Cetinkunt, Sabri ^{[3
]}

Borrelli, Francesco ^{[1
]}

机构：

[1] Univ Calif Berkeley, Dept Mech Engn, Berkeley, CA 94720 USA

[2] Politecn Torino, Dipartimento Ingn Energet, Turin, Italy

[3] Univ Illinois, Dept Mech Engn, Chicago, IL USA

来源：

IFAC PAPERSONLINE | 2017年 / 50卷 / 01期

关键词：

D O I：

10.1016/j.ifacol.2017.08.425

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present an energy-saving cooperative adaptive cruise control (eco-CACC), which minimizes the energy consumption of autonomous electric vehicles. The approach leverages a trajectory preview from the preceding vehicle, and conciliates inter-vehicular distance reduction and speed profile smoothing. The problem is tackled with a nonlinear MPC approach. Rather than tracking a reference trajectory, our approach allows variations of distance and speed between vehicles, as long as the powertrain energy consumption is minimized and collision avoidance is guaranteed. Simulations show that this formulation can successfully handle real world driving conditions, with limited computational complexity. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：2359 / 2364

页数：6

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