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A Real-time MPC-based Energy Management of Hybrid Energy Storage System in Urban Rail Vehicles.
- Source :
- Energy Procedia; Oct2018, Vol. 152, p526-531, 6p
- Publication Year :
- 2018
-
Abstract
- Abstract The most challenges for the hybrid energy storage system made up of the battery and super capacitor (SC) are the reasonable energy management strategy (EMS) and real-time implementation. Therefore, a variable-step multistep prediction MPC-based energy management strategy is proposed in this paper, which minimizes the system energy losses of the whole operating process and ensures the battery current and SC SOC in a suitable range. In addition, the neural networks (NN) are applied in this paper for real-time implementation, which are trained by using MPC optimization results. To do this, the loss models of the battery, SC and DC/DC converter are built and Simulation is carried out in MATLAB/Simulink, which shows that the proposed EMS can keep the SC SOC in a suitable range. At the same time, the proposed online energy management method can achieve excellent results of MPC optimization. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18766102
- Volume :
- 152
- Database :
- Supplemental Index
- Journal :
- Energy Procedia
- Publication Type :
- Academic Journal
- Accession number :
- 132854071
- Full Text :
- https://doi.org/10.1016/j.egypro.2018.09.205