Power Management of Battery Energy Storage System Using Model Free Adaptive Control

Zhang, Weimin; Xu, Dazhuan; Lou, Xuyang; Yan, Wenxu; Yang, Weilin

doi:10.1109/ddcls.2018.8516079

Cited by 2 publications

(2 citation statements)

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“…In model (23), (24), (25) and (26), the HESS is obviously MOMI nonlinear system, so it is necessary to design an effective control strategy. By effectively controlling for m 1 , m 23 and m 45 , the model (23) -(26) can reliability operate, i FC , i B , i SC and u O can meet the requirements.…”

Section: Model Of Hybrid Energy Storage Systemmentioning

confidence: 99%

“…In [21], a novel adaptive control strategy based on input/output data is proposed in this paper to solve the problem of power management of battery energy storage system. There are also droop control and model-free methods that can be referred to [22]- [24]. However, the hybrid energy storage studied in this paper does not involve distributed energy storage and grid-connection, energy distribution and control strategy are the significant points.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Terminal Sliding Mode Control for Hybrid Energy Storage Systems of Fuel Cell, Battery and Supercapacitor

Liu

Yan

et al. 2019

IEEE Access

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In this paper, a terminal sliding mode control strategy with projection operator adaptive law is proposed in a hybrid energy storage system (HESS). The objective of the proposed control strategy is to provide power for load in time, get good tracking performance of the current of the fuel cell, battery, and supercapacitor, and obtain a stable voltage of the dc bus. At first, the topological structure of the system is proposed, and the mathematical models are derived. Then, on the basis of the working characteristics of the energy storage unit, the load power is reasonably and effectively distributed to increase the service life of HESS and improve energy efficiency. Meanwhile, according to the tracking errors of reference and actual values, the terminal sliding surfaces can be set out. The controller can be designed by the constraint condition, combining the projection operator adaptive law. In addition, the HESS with the proposed control is proved to be asymptotically stable by using the Lyapunov method. Finally, the simulation results show that the proposed control strategy can make the whole system stable, and the control objective can also be better realized.

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Section: Model Of Hybrid Energy Storage Systemmentioning

confidence: 99%