@inproceedings{c402d4f18bba4197a4b2a959faebc716,
title = "A Real-Time Predictive Energy Management Strategy for Power-split Plug-in Hybrid Electric Bus",
abstract = "This paper proposes a real-Time predictive energy management strategy (EMS) for a power-split plug-in hybrid electric bus (PHEB) to improve fuel economy by decreasing the total operation cost of fuel and electricity. Firstly, a two-dimensional (2-D) velocity prediction method is adopted to improve the accuracy of the prediction. Then, an online optimal controller is designed to distribute power flows optimally by tracking the SOC reference trajectory accurately. At last, comprehensive comparative simulations are conducted to validate the effectiveness of the proposed EMS in terms of fuel economy improvement and real-Time application performance. Simulation results indicate that the proposed EMS in this paper can reduce the total cost by 8.65\% in comparison with rule-based strategy and the longest prediction horizon can reach 15 s at least for real-Time application.",
keywords = "Plug-in hybrid electric bus, energy management, fuel economy, model predictive control, real-Time application",
author = "Ruchen Huang and Hongwen He and Xiangfei Meng",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 1st International Conference on Industrial Electronics Research and Applications, ICIERA 2021 ; Conference date: 22-12-2021 Through 24-12-2021",
year = "2021",
doi = "10.1109/ICIERA53202.2021.9726733",
language = "English",
series = "ICIERA 2021 - 1st International Conference on Industrial Electronics Research and Applications, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICIERA 2021 - 1st International Conference on Industrial Electronics Research and Applications, Proceedings",
address = "United States",
}