An on-line fast model predictive control of highpower ultracapacitors charging current for renewable energy urban rail vehicle

Huang, Zhiwu; Li, Hao; Hu, Jia; Liu, Weirong; Liu, Jianfeng

doi:10.1109/apec.2014.6803522

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…In recent years, much attention of the control and energy community has been paid to both the design of stationary charging stations [3], [6], [7], [8] and energy management of onboard ESSs [9], [10]. This interest can only grow in the foreseeable future, for the energy-storage urban rails have been considered a strong contender for the next generation of urban public transportation systems.…”

Section: Introductionmentioning

confidence: 99%

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An adaptive parallel charging system for energy-storage urban rails

Peng

Wang

et al. 2015

2015 American Control Conference (ACC)

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In this paper, an adaptive parallel charging system is designed for energy-storage urban rail vehicles. The main circuit of the charging system is chosen with two parallel buck converters. The state space model of the charging system is derived with averaging method. Then an adaptive model-free extremum seeking charging controller is designed. Different from existing model-based charging methods, the proposed strategy calls for no knowledge of urban rail vehicles and hence has a wider range of applications. We further show that the proposed charging method can suppress the current imbalance between two parallel buck converters efficiently. The effectiveness of the proposed charging strategy is proved with rigorous theoretical analysis. Moreover, experiment results from a prototype parallel charging system verify the theoretical analysis.

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Section: Introductionmentioning

confidence: 99%

“…Thus the charging system should be designed to supply a required power in a limited time. Several interesting studies have been reported in this field, see e.g., [7], [8], [11]. The basic idea of these studies is to apply a fast convergent control algorithm to regulate the output power of the charging system to a desired value.…”

Section: Introductionmentioning

confidence: 99%