Differentiation Power Control of Modules in Second-Life Battery Energy Storage System Based on Cascaded H-Bridge Converter

Liu, Chang; Gao, Ning; Cai, Xu; Li, Rui

doi:10.1109/tpel.2019.2954577

Cited by 39 publications

(5 citation statements)

References 45 publications

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“…Howey and Frost, in [33], show this application in a decentralized control topology using an MMC converter. The usage of this topology as a second-hand battery approach was conducted by Liu et al [34]. Another point to note is that the gain k, increases or decreases the speed of the charge balancing scheme [35].…”

Section: Adapted Soc Strategymentioning

confidence: 99%

Comparison of Advanced Charge Strategies for Modular Cascaded Battery Chargers

et al. 2021

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Although the literature extensively covers the development of battery chargers control strategies, a comparison of these strategies remains a literary gap. The inherent conditions (i.e., State of Health and State of Charge) of each unit in the Battery Energy Storage Systems directly influence the charger control techniques for extending battery lifetime, which makes modular battery chargers an appealing topology for this analysis. This work groups charger control strategies presented in the literature into two: Adapted SoC strategies, directly linked to the field of overstress management, and SoH strategies, which are directly linked to the field of wear-out management. The methodology for comparing the control strategies encompasses battery lifetime, charger, and photovoltaic plant models. Three distinct cases were simulated using real measure data from a solar power plant and a battery model provided by MathWorks®. The results evidence that the Capacity Fade and Energy Throughput strongly depend on the strategy. The controller action evidences the previous statement, as the strategies have different goals that are related to each field. Furthermore, this work analyses the effect of the estimation process in the action of the controller.

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Section: Adapted Soc Strategymentioning

confidence: 99%

Comparison of Advanced Charge Strategies for Modular Cascaded Battery Chargers

et al. 2021

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“…The commonly used method for external uncertainty is scenario based optimization techniques. Scenario based optimization involves generating a series of scenarios through uncertain parameters that represent different possible future scenarios, such as changes in energy prices or the occurrence of power outages [10].…”

Section: Introductionmentioning

confidence: 99%

Research and Application of Big Data Analysis in Energy Storage of Distributed Energy System

Liu,

Ni,

Wang

et al. 2024

J. Phys.: Conf. Ser.

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In order to ensure the reliability and high efficiency of the optimal scheduling strategy of distributed energy system, this paper combines big data technology to study the energy storage system of distributed energy system. In order to simplify the daily scheduling optimization of regional DES, the loss of energy storage device and energy conversion device is ignored in this paper, and the output power, conversion power and interworking power of specific equipment are treated linearly in the energy supply model to a certain extent, so as to better simulate the scheduling process. Moreover, this paper combines the big data algorithm to avoid the algorithm falling into local optimum by improving the group learning method. Taking the distribution system as the reference system, the electric energy demand is met by the power grid, the heat energy demand is generated by the gas boiler, and the cold energy is generated by the electric refrigeration. In addition, in different seasons, the comprehensive benefits of the energy supply model in this paper are compared and analyzed. The research results show that the method in this paper has certain effect.

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“…For example, in PV systems, energy imbalances among panels may occur due to partial shading, dirt and aging [12], [13]. Similarly, energy storage systems, especially those based on secondlife batteries, have to deal with energy imbalances due to differences in the parameters of the batteries [14], [15]. In these cases, the fundamental component of each H-bridge output voltage must be controlled to achieve the desired power distribution among the converter modules.…”

Section: Introductionmentioning

confidence: 99%

Power Distribution Method for Single-Phase Cascaded Multilevel Converters Based on Space Vector Modulation

Saccol

Vilerá

Carnielutti

et al. 2023

IEEE J. Emerg. Sel. Topics Power Electron.

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Cascaded H-bridge converters are interesting candidates for photovoltaic (PV) and energy storage systems, since PV panels and/or batteries can be directly connected to the input dc-side of each converter module. However, differences in the parameters of the batteries or variable ambient conditions may result in energy imbalances among the power modules. In these cases, conventional modulation strategies will lead to an increased distortion on the converter output voltage. Therefore, this paper proposes a generalized space vector modulation for single-phase cascaded H-bridge converters considering the power processed by each power module and maintaining a low-THD multilevel output voltage waveform. The proposed method improves the converter output voltage harmonic spectrum compared to the conventional phase-shifted modulation strategy in cases of power imbalance among modules. Experimental results are included to demonstrate the performance of the proposed method.

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Differentiation Power Control of Modules in Second-Life Battery Energy Storage System Based on Cascaded H-Bridge Converter

Cited by 39 publications

References 45 publications

Comparison of Advanced Charge Strategies for Modular Cascaded Battery Chargers

Comparison of Advanced Charge Strategies for Modular Cascaded Battery Chargers

Research and Application of Big Data Analysis in Energy Storage of Distributed Energy System

Power Distribution Method for Single-Phase Cascaded Multilevel Converters Based on Space Vector Modulation

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