Analysis of state of charge estimation methods for smart grid with VRLA batteries

Galád, Martin; Špánik, Pavol; Cacciato, M.; Nobile, Giovanni

doi:10.1007/s00202-017-0618-z

Cited by 23 publications

(3 citation statements)

References 10 publications

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“…The ACR is incremented or decremented by one with each underflow or overflow of the pre-scaler, so that integration time can be effectively scaled. It is also possible to improve such circuitry by implementation of sigma-delta ADC for voltage monitoring that enables to apply voltagebased methods for SOC estimation [9], [10].…”

Section: A Current-based Methodsmentioning

confidence: 99%

Electronically Isolated Measuring Circuit for Multicell Traction Battery Modules Identifying State of Charge (SOC) Values

Pipiska¹,

Frivaldský²,

Danko³

et al. 2019

ELEKTRON ELEKTROTECH

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Paper focuses on the topic related to State of Charge (SOC) estimation of the battery modules. The design issues of the electronic circuit suited for very accurate voltage and current measurement used for evaluation of the SOC parameters of battery module (NexSys 12 V) are presented. The SOC evaluation is not described here, but the principles are based on the open-circuit voltage measurement in combination with the coulomb counting method. Both methods are considered within the practical design of the measuring circuit of traction lead-acid batteries connected in series (3 cells). The circuit proposal is verified by the simulation model and consequently by the experimental measurement. Mutual comparisons are done for each battery within the module. The results show a very high accuracy between the simulation and measurement, while the relative tolerance varies from - 7 % to 1 % within wide measuring ranges.

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Section: A Current-based Methodsmentioning

confidence: 99%

Electronically Isolated Measuring Circuit for Multicell Traction Battery Modules Identifying State of Charge (SOC) Values

Pipiska¹,

Frivaldský²,

Danko³

et al. 2019

ELEKTRON ELEKTROTECH

View full text Add to dashboard Cite

show abstract

“…), or exogenous causes such as the the cell's operating temperature, the type of load connected to the cell, aging effects, state of health, etc. A static battery model (e.g., Randle's circuit) could not address the time varying characteristics of the cells [34]. DUCM is constantly polling the SoC and voltage of every cell and contributes to an updated cell model.…”

Section: Evaluation Analysismentioning

confidence: 99%

DERauth: A Battery-based Authentication Scheme for Distributed Energy Resources

Zografopoulos¹,

Konstantinou²

2020

Preprint

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Over the past decades, power systems have experienced drastic transformations in order to address the growth in energy demand, reduce carbon emissions, and enhance power quality and energy efficiency. This shift to the smart grid concept involves, among others, the utilization of distributed energy resources (DERs) such as rooftop solar panels and storage systems, contributing towards grid decentralization while improving control over power generation. In order to seamlessly integrate DERs into power systems, embedded devices are used to support the communication and control functions of DERs. As a result, vulnerabilities of such components can be ported to the industrial environment. Insecure control networks and protocols further exacerbate the problem. Towards reducing the attack surface, we present an authentication scheme for DERs, DERauth, which leverages the inherent entropy of the DER battery energy storage system (BESS) as a root-of-trust. The DER authentication is achieved using a challenge-reply mechanism that relies on the corresponding DER's BESS state-of-charge (SoC) and voltage measurements. A dynamically updating process ensures that the BESS state is up-to-date. We evaluate our proof-of-concept in a prototype development that uses lithium-ion (li-ion) batteries for the BESS. The robustness of our design is assessed against modeling attacks performed by neural networks.

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“…The measures to reduce the impact on the climate changes also include a change of the process of the use of primary energy source -fossil fuels. Nowadays, many attempts have been done in order to shift from fossil fuels to clean or renewable primary energy sources (photovoltaic systems, wind and water turbines, energy hubs and smart-grids) [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

DC-DC Converter Design Issues for High-Efficient DC Microgrid

Frivaldský¹,

Morgos²

2019

Komunikácie

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In this article, the electrical properties, as well as the economic aspects of the modular and non-modular solution of the DC-DC photovoltaic converter for DC microgrid subsystem, are described. Principally a theoretical overview of the circuit configuration for the selected DC-DC stage of the DC microgrid system is shown. It is dealt with the comparison of the one non-modular high - voltage SiC-based dual - interleaved converter operating at the low switching frequency and with modular low voltage GaN-based DC-DC converters operating at high switching frequencies. The main focus is given to the research of the dependency that arises from the different module count, overall efficiency, costs, and power density (system volume). High efficiency, reduced overall volume, and maximum power density are important factors within modern and progressive solar systems. It is assumed that with the increase of switching frequency within the modular system the volume reduction of the passive components will be highly demanded, thus PCB dimensions and overall volume can be reduced. This dependency is investigated, while the total volume of the non-modular system is a unit of the measure. For these purposes, the design of variant solution was done, and consequently mutually compared in the way of simulations and experimental measurements.

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Analysis of state of charge estimation methods for smart grid with VRLA batteries

Cited by 23 publications

References 10 publications

Electronically Isolated Measuring Circuit for Multicell Traction Battery Modules Identifying State of Charge (SOC) Values

Electronically Isolated Measuring Circuit for Multicell Traction Battery Modules Identifying State of Charge (SOC) Values

DERauth: A Battery-based Authentication Scheme for Distributed Energy Resources

DC-DC Converter Design Issues for High-Efficient DC Microgrid

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