期刊
APPLIED ENERGY
卷 268, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2020.115030
关键词
Intelligent hybrid electric vehicle; Longitudinal autonomous driving; Game theory; Multi-objective equilibrium
资金
- National Key Research and Development Program of China [2018YFB0105101]
- National Fund for Fundamental Research [282018Y-5973]
- Electric Automobile and Intelligent Connected Automobile Industry Innovation Project of Anhui Province [JAC2019022505]
Autonomous driving hybrid electric vehicles can offer unprecedented opportunities for autonomous safe & energy-efficient driving. However, how to integrate energy optimization during the car-following process and vehicle safety under complex traffic flow is a formidable challenge. Moreover, the coordinated control of three chassis parts including electric motor, internal combustion engine and vehicle brake system is hard to be tackled. Therefore, this paper aims to address longitudinal autonomous driving for intelligent hybrid electric vehicles. A game-theory-based longitudinal autonomous driving control framework is proposed with much easier access to information due to vehicle-to-vehicle/vehicle-to-infrastructure communication, which is our main contribution. Firstly, the whole longitudinal driving control is transformed into a multi-objective optimal problem, which contains safety, economy, comfort, so a game theory model is built to solve the multi-objective equilibrium problem. Then, to obtain the closed-loop strategies in Nash differential game, a system of coupled algebraic Riccati equations is solved. Finally, the game-theory-based control strategies coordinate electric motor, internal combustion engine and vehicle brake system to achieve multi-objective equilibrium. Simulation tests of the proposed framework and previous existing work are carried out, and their results show the proposed framework's better performance of longitudinal dynamics control including car-following, reducing fuel consumption, and driving comfort.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据