@inproceedings{24dbb112123e4de089b66ba0a4f4f1e0,
title = "Eco-driving and energy management for fuel cell trucks under vehicle-following scenarios considering changeable air resistance coefficient",
abstract = "The fuel cell truck has obtained huge attention during decarbonization process. Vehicle-following scenario is a quite common operation mode for fuel cell trucks. The paper designs a hierarchical control strategy of eco-driving and energy management strategy (EMS) for fuel cell truck equipped with a fuel cell/battery hybrid powertrain when the vehicle is driving in follow mode. Firstly, based on the leading vehicle speed, the eco-driving system generates the optimal speed curve with the objectives of minimizing vehicle power demand and maintaining preset inter-vehicle distance. At the same time, the changeable air resistance coefficient due to various inter-vehicle distance is considered. Then, based on the eco-driving results, EMS is applied to implement optimal control actions for vehicle powertrain. The simulations results show that the eco-driving considering changeable air resistance coefficient can decrease vehicle energy consumption by 0.53 %-1.21 % and maintain inter-vehicle distance within feasible range. Energy management can achieve power allocation, and vehicle powertrain can be controlled to work in healthy state.",
keywords = "eco-driving, energy management, fuel cell trucks, vehicle-following",
author = "Ruiqing Ma and Bo Chen and Chengzhuo Hu and Yang Zhou and Rui Ma and Wentao Jiang",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 33rd International Symposium on Industrial Electronics, ISIE 2024 ; Conference date: 18-06-2024 Through 21-06-2024",
year = "2024",
doi = "10.1109/ISIE54533.2024.10595689",
language = "英语",
series = "IEEE International Symposium on Industrial Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 33rd International Symposium on Industrial Electronics, ISIE 2024 - Proceedings",
}