Eco-driving and energy management for fuel cell trucks under vehicle-following scenarios considering changeable air resistance coefficient

被引:0
作者
Ma, Ruiqing [1 ]
Chen, Bo [1 ]
Hu, Chengzhuo [2 ]
Zhou, Yang [3 ]
Ma, Rui [1 ]
Jiang, Wentao [1 ]
机构
[1] Northwestern Polytech Univ, Sch Automat, Xian, Peoples R China
[2] China Mobile Commun Grp Shaanxi Co Ltd, DICT Ctr, Xian, Peoples R China
[3] Northwestern Polytech Univ Shenzhen, Res & Dev Inst, Shenzhen, Peoples R China
来源
2024 33RD INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, ISIE 2024 | 2024年
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
fuel cell trucks; eco-driving; energy management; vehicle-following; STRATEGY; OPTIMIZATION;
D O I
10.1109/ISIE54533.2024.10595689
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页数:6
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