single-jc.php

JACIII Vol.21 No.2 pp. 266-270
doi: 10.20965/jaciii.2017.p0266
(2017)

Short Paper:

An MPC Control System for Onboard Ultracapacitors with Maximum Current Constraint

Rong Zhou, Zhiwu Huang, Heng Li, Jun Peng, and Yu Song

School of Information Science and Engineering, Central South University
Changsha 410075, China

Received:
July 7, 2016
Accepted:
November 8, 2016
Online released:
March 15, 2017
Published:
March 20, 2017
Keywords:
ultracapacitor, MPC, charge, extended interior point, Kalman filter
Abstract
This study proposes model predictive control (MPC) for onboard ultracapacitors for light rail vehicles using a maximum current constraint. In this study, a Kalman filter is used to estimate the system states. Compared to the PID controller, the MPC-based charging control strategy can solve the maximum current limit problem because it converts the charging problem to an optimization one. Simulation and experiments are carried out to demonstrate the effectiveness of the method.
Cite this article as:
R. Zhou, Z. Huang, H. Li, J. Peng, and Y. Song, “An MPC Control System for Onboard Ultracapacitors with Maximum Current Constraint,” J. Adv. Comput. Intell. Intell. Inform., Vol.21 No.2, pp. 266-270, 2017.
Data files:
References
  1. [1] H. Li, J. Peng, W. Liu, Z. Huang, “Stationary Charging Station Design for Sustainable Urban Rail Systems: A Case Study at Zhu zhou Electric Locomotive Co., China,” Sustainability, Vol.7, No.1, pp. 465-481, 2015.
  2. [2] M. Steiner and J. Scholten, “Energy storage on board of railway vehicles,” 2005 European Conf. on Power Electronics and Applications, Vol.1, No.10, 2005.
  3. [3] Y. Wang and S. Boyd, “Fast model predictive control using online optimization,” IEEE Trans. on Control Systems Technology, Vol.18, No.2, pp. 267-278, 2010.
  4. [4] G. L. Plett, “Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 1. Background,” J. of Power sources, Vol.134, No.2, pp. 252-261, 2004.
  5. [5] A. Nadeau, M. Hass analieragh, G. Sharma, et al., “Energy awareness for supercapacitors using Kalman filter state-of-charge tracking,” J. of Power Sources, Vol.296, pp. 383-391, 2015.
  6. [6] A. S. Weddell, G. V. Merrett, T. J. Kazmierski, et al.. “Accurate supercapacitor modeling for energy harvesting wireless sensor nodes,” IEEE Trans. Circuits and Systems II: Express Briefs, Vol.58, No.12, pp. 911-915, 2011.
  7. [7] L. Zubieta and R. Bonert, “Characterization of double-layer capacitors for power electronics applications,” IEEE Trans. on Industry Applications, Vol.36, No.1, pp. 199-205, 2000.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Apr. 19, 2024