Model predictive eco-driving control of internal-combustion-engine vehicles equipped with CVTs in car-following scenarios

被引：0

作者：

Yoshinaka S. ^{[1
]}

Narisawa S. ^{[1
]}

Yuno T. ^{[1
]}

Cao W. ^{[2
]}

Mukai M. ^{[3
]}

Kawabe T. ^{[1
]}

机构：

[1] Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka

[2] Department of Engineering and Applied Science, Sophia University, Tokyo

[3] Department of Electrical and Electronic Engineering, Kogakuin University, Tokyo

来源：

SICE Journal of Control, Measurement, and System Integration | 2023年 / 16卷 / 01期

基金：

日本学术振兴会;

关键词：

car-following; continuous variable transmission; Eco-driving; internal combustion engine; model predictive control; pulse and glide; vehicles;

D O I：

10.1080/18824889.2023.2188976

中图分类号：

学科分类号：

摘要：

Eco-driving control is a key technology for achieving carbon neutrality of vehicles equipped with automated-driving systems and advanced driver-assistance systems. This paper proposes a model-predictive eco-driving controller for car-following by internal-combustion-engine vehicles equipped with continuous variable transmissions. The effectiveness of our controller is demonstrated through numerical simulations. The results indicate that driving operations like the pulse-and-glide strategy are still candidate optimal solutions to the eco-driving control problem in car-following scenarios even in the receding-horizon setting. Moreover, the results indicate that restricting the engine operation range to the optimal brake-specific-fuel-consumption line is not necessarily optimal in the receding-horizon setting. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

引用

页码：109 / 116

页数：7

共 32 条

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