VRLA Battery Virtual Reference Electrode: Battery Float Charge Analysis

Hunter, P.M.; Anbuky, A.H.

doi:10.1109/tec.2008.926041

Cited by 10 publications

(9 citation statements)

References 11 publications

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“…For nodes neighboring the interfaces, we develop secondorder one-sided schemes using the method of undetermined coefficients to reevaluate the spatial diffusion. For example, (16) represents the left-sided scheme at the negative electrode and separator interface…”

Section: Methodsmentioning

confidence: 99%

“…Combining the results of these substitutions (14,15,16,17) into the diffusion equation 12, we obtain the system of equations c n = Bc n +1 (13), where the 3m × 3m matrix B is pentadiagonal.…”

Section: Methodsmentioning

confidence: 99%

“…The calculated voltage of this expanded model was remarkably accurate, yet the voltage modeled used was not clearly specified. The traditional model continues to be adapted, with contributions focusing more recently on voltage restorers [15], the VRLA reference electrode [16], and parameter estimation [17]. Separately, a model for acid concentration exclusively based upon conservation of mass and reactive electrode surface was developed by Appel [4], [18], Gill [19], and Cantrell [20] starting in 1987.…”

Section: A Previous Researchmentioning

confidence: 99%

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Lead-Acid Battery Model Under Discharge With a Fast Splitting Method

Harwood

Manoranjan

Edwards

2011

IEEE Trans. Energy Convers.

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A mathematical model of a valve-regulated lead-acid battery under discharge is presented as simplified from a standard electrodynamics model. This nonlinear reaction-diffusion model of a battery cell is solved using an operator splitting method to quickly and accurately simulate sulfuric acid concentration. This splitting method incorporates one-sided approximation schemes to preserve continuity over material interfaces encompassing discontinuous parameters. Numerical results are compared with measured data by calculating battery voltage from modeled acid concentration as derived from the Nernst equation.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: A Previous Researchmentioning

confidence: 99%

See 1 more Smart Citation

Lead-Acid Battery Model Under Discharge With a Fast Splitting Method

Harwood

Manoranjan

Edwards

2011

IEEE Trans. Energy Convers.

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“…There are two main parameters within the model that define the current tail that appears in the float stage, which are the curve that associates SOC V with OCV, and the aggregate electric impedance that the system offers (the addition of the internal battery impedance and the installation parasitic resistance). A battery can be modeled as a non-linear capacitance [30], [31] with a very high storage capacity. Though its internal voltage varies non-linearly with the charge it stores, this effect can be explained using a simple RC equivalent circuit under constant voltage.…”

Section: ( )mentioning

confidence: 99%

New battery model considering thermal transport and partial charge stationary effects in photovoltaic off-grid applications

Sanz-Gorrachategui

Bernal

Oyarbide

et al. 2018

Journal of Power Sources

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The optimization of the battery pack in an off-grid Photovoltaic application must consider the minimum sizing that assures the availability of the system under the worst environmental conditions. Thus, it is necessary to predict the evolution of the state of charge of the battery under incomplete daily charging and discharging processes and fluctuating temperatures over day-night cycles. Much of previous development work has been carried out in order to model the short term evolution of battery variables. Many works focus on the on-line parameter estimation of available charge, using standard or advanced estimators, but they are not focused on the development of a model with predictive capabilities. Moreover, normally stable environmental conditions and standard charge-discharge patterns are considered. As the actual cycle-patterns differ from the manufacturer's tests, batteries fail to perform as expected. This paper proposes a novel methodology to model these issues, with predictive capabilities to estimate the remaining charge in a battery after several solar cycles. A new non-linear state space model is proposed as a basis, and the methodology to feed and train the model is introduced. The new methodology is validated using experimental data, providing only 5% of error at higher temperatures than the nominal one.

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“…Hence, the effective management of lead-acid batteries is considered as a critical issue [4,5]. Nonetheless, it is currently not easy to test the residual capacity and the service life of lead-acid batteries, which are affected by the battery structure, environmental temperature, depth of previous discharge, self-discharge of batteries, discharge current, charge method, and end of discharge voltage [6,7]. Besides, the capacity change during the leadacid battery discharge is not linear, and some aged batteries would appear decreased in voltage.…”

Section: Introductionmentioning

confidence: 99%