Fuel Efficient Connected Cruise Control for Heavy-Duty Trucks in Real Traffic
| Autor: | Gábor Orosz, Chaozhe R. He, Jin I. Ge |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Truck
050210 logistics & transportation 0209 industrial biotechnology Computer science 05 social sciences Cruise 02 engineering and technology Energy consumption Automotive engineering Data modeling 020901 industrial engineering & automation Control and Systems Engineering Control theory Robustness (computer science) 0502 economics and business Electrical and Electronic Engineering Cruise control Efficient energy use |
| Zdroj: | IEEE Transactions on Control Systems Technology. 28:2474-2481 |
| ISSN: | 2374-0159 1063-6536 |
| DOI: | 10.1109/tcst.2019.2925583 |
| Popis: | In this paper, we present a systematic approach for fuel-economy optimization of a connected automated truck that utilizes motion information from multiple vehicles ahead via vehicle-to-vehicle (V2V) communication. Position and velocity data collected from a chain of human-driven vehicles are utilized to design a connected cruise controller that smoothly responds to traffic perturbations while maximizing energy efficiency. The proposed design is evaluated using a high-fidelity truck model and the robustness of the design is validated on real traffic data sets. It is shown that optimally utilizing V2V connectivity leads to around 10% fuel economy improvements compared to the best nonconnected design. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|