Design and Real-Time Controller Implementation for a Battery-Ultracapacitor Hybrid Energy Storage System

Shen, Junfei; Khaligh, Alireza

doi:10.1109/tii.2016.2575798

Cited by 126 publications

(52 citation statements)

References 18 publications

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“…One remedy to this problem is high power density ultracapacitors (UCs). UCs have corresponding properties to ordinary batteries with outstanding power performance over wide temperature range, desired charge‐discharge characteristics, long life span, and high reliability . Since UC is an innovation of new generation, its market price is moderately high, increasing the investment cost.…”

Section: Introductionmentioning

confidence: 99%

“…UCs have corresponding properties to ordinary batteries with outstanding power performance over wide temperature range, desired charge-discharge characteristics, long life span, and high reliability. 9,10 Since UC is an innovation of new generation, its market price is moderately high, increasing the investment cost. Power electronics are presently designed about battery technology, which makes the usage of UCs more complicated and expensive.…”

Section: Introductionmentioning

confidence: 99%

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Energy storage management of hybrid solar/wind standalone system using adaptive neuro‐fuzzy inference system

Varghese

Reji

2019

Int Trans Electr Energ Syst

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Summary This paper proposes a charge controller for ultracapacitor that acts as an energy storage device so that it can minimize the effect of irregular solar radiation and widely varying wind velocity. A suitable supervision for each generating unit and ultracapacitor are mandatory for a standalone system. The primary energy sources solar and wind systems are operating at maximum power point. Adaptive neuro‐fuzzy inference system (ANFIS) is utilized to foresee the voltage of panel at which extreme power is obtained for a solar system and also to ascertain the most extreme power delivered by the nonuniform and unpredictable characteristics of solar and wind energy sources. A common energy management technique is developed to manage the control flow between the distinctive power sources, loads, and ultracapacitor in the system. The results obtained by ANFIS are compared with artificial neural network. A Simulink model of the hybrid standalone system was developed and tested for various insolation, temperature, and wind velocity.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy storage management of hybrid solar/wind standalone system using adaptive neuro‐fuzzy inference system

Varghese

Reji

2019

Int Trans Electr Energ Syst

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“…Generally, all base sources are capable of delivering energy with high energy density, on the other hand supporting sources like UC is capable of delivering power with high power density. By combining base source with supporting one forms a new HESS, which will enhance the performances of the particular vehicle during all load conditions [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Analysis of math function based controller for a smooth transition between battery and ultracapacitor

Katuri¹,

Gorantla²

2018

MMEP

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To obtain automatic smooth switching between energy sources present in Hybrid Energy Storage System (HESS) is the main problem associated with Hybrid Electric Vehicles / Electric Vehicles (HEVs/EVs). The key objective of this work is to design a particular control strategy which is useful to switch the battery and ultracapacitor (UC) corresponding to the vehicle dynamics. In this work a new control strategy is realized by hybridizing two controllers. A math function based controller (MFB) is designed with four separate math functions in association with speed of an electric motor, which indicates that the speed of an electric motor plays a vital role during transition of energy sources. The combination, MFB and conventional Proportional-Integral-Derivative (PID) controller forms the hybrid controller which meets the main objective of the proposed work. Finally, the designed hybrid controller generates and regulates the switching signal of DC-DC converters with smooth transition can be obtains corresponding to the vehicle dynamics. The proposed methodology is implemented especially in four modes with different load; all simulation results are plotted and discussed.

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“…The single type of energy storage element might not satisfy the need of MG applications owing to their respective defects. To complement each type's advantages and improve the overall performance of ESS, two kinds of the storage elements can combine as the hybrid energy storage system (HESS) [3][4][5]. Up to now, most of the research on the HESS concern the hybrid system consisted of the battery energy storage system (BESS) and SC.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, they usually use the simple first order LPF which has a poor frequency selectivity. Some intelligent methods are used to separate the power reference such as the artificial neural network (ANN) [11] and wavelet analysis [12]. However, these methods are hard for the practical implementation owing to the complex calculation.…”

Section: Introductionmentioning

confidence: 99%

The Hardware-in-the-Loop Simulation (HILS) of the Coordinated Control of the Hybrid Energy Storage System in Microgrid

Hou¹,

Nguyen²,

Kim³

et al. 2017

IJCA

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Design and Real-Time Controller Implementation for a Battery-Ultracapacitor Hybrid Energy Storage System

Cited by 126 publications

References 18 publications

Energy storage management of hybrid solar/wind standalone system using adaptive neuro‐fuzzy inference system

Energy storage management of hybrid solar/wind standalone system using adaptive neuro‐fuzzy inference system

Analysis of math function based controller for a smooth transition between battery and ultracapacitor

The Hardware-in-the-Loop Simulation (HILS) of the Coordinated Control of the Hybrid Energy Storage System in Microgrid

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