期刊
IET INTELLIGENT TRANSPORT SYSTEMS
卷 13, 期 2, 页码 323-329出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-its.2018.5336
关键词
predictive control; mobile robots; road vehicles; vehicle dynamics; robot dynamics; fuel economy; velocity control; trajectory control; model predictive control-based eco-driving strategy; CAV; connected autonomous vehicle; fuel efficiency; car-following scenarios; longitudinal dynamic model; fuel-consumption model; speed trajectory; preceding vehicles; vehicle-to-vehicle communication function; vehicle-to-infrastructure communication function; fuel consumption optimisation; urban driving condition; highway driving condition; fuel-saving benefits
资金
- Project of Jiangsu Provincial Six Talent Peaks [2016-JXQC-020]
- Fundamental Research Funds for the Central Universities [309171B8811]
- National Natural Science Fund of China [51205209, 51205204]
- China Scholarship Council Funds [201606845008]
In this study, an eco-driving strategy is proposed to enhance the fuel efficiency of the connected autonomous vehicle (CAV) in car-following scenarios. First, the longitudinal dynamic model and fuel-consumption model of the vehicle are established. The speed trajectory of the preceding vehicles is obtained via vehicle-to-vehicle/vehicle-to-infrastructure communication function of CAVs, which is used as the reference of the following vehicles. Second, a model predictive controller is presented to optimise fuel consumption of the following vehicle. Finally, simulations in urban and highway driving conditions demonstrate that the proposed controller enables effective tracking of the preceding vehicle in an energy-efficient way. Comparisons between the second and the third following vehicles verify the fuel-saving benefits of the proposed method.
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