An estimation method of state of charge and lifetime for lead-acid batteries in smart grid scenario

Montenegro, Danny; Rodríguez, Simón; Fuelagán, Javier Revelo; Jimenez, John Barco

doi:10.1109/isgt-la.2015.7381216

Cited by 7 publications

(7 citation statements)

References 10 publications

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“…If we consider in the model of Equation (19) parameters expressed in Wh, the voltage V(t) is related to the current i(t), the state of charge can be expressed [35,36]:…”

Section: Socmentioning

confidence: 99%

Design and Simulation of a Powertrain System for a Fuel Cell Extended Range Electric Golf Car

et al. 2018

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This article analyses the energy behaviour of an electric golf car as the penultimate step to developing a fuel cell electric light-duty vehicle. The configuration used is that of an extended range electric vehicle with a fuel cell (FCEREV). The system includes two energy storage sources to drive the powertrain: the first consists of using energy stored in a lead-acid battery pack and the second consists of hydrogen stored in metal hydrides and its use is based on a 200 W polymer electrolyte membrane (PEM) type fuel cell. The type of system also allows charging the vehicle by connecting it to the electrical grid. The aim of the proposed design is to extend the autonomy of the golf car allowing it to make several trips in one day without having to charge it by connecting it to the electrical grid, considering the large amount of time this would take. The analysis of the performance has been set based on the current regulation and is therefore within the range for these types of vehicles. This arrangement extends autonomy by 38% as opposed to the pure EV electrical mode, which allows for making at least two more trips with a hydrogen tank filled with 0.085 kg H 2 .

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“…If we consider in the model of Equation (19) parameters expressed in Wh, the voltage V(t) is related to the current i(t), the state of charge can be expressed [35,36]:…”

Section: Socmentioning

confidence: 99%

Design and Simulation of a Powertrain System for a Fuel Cell Extended Range Electric Golf Car

et al. 2018

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“…A battery is at its best usage when operating at its 80% capacity, which means that it has only delivered 20% of its energy or being called as its depth of discharge (DOD) [9]- [13]. The relationship between the charging voltage and the cycle life of a battery for various DOD is shown in Fig 2. As seen, there is a certain charging voltage value which will give the maximum cycle life at a certain DOD level.…”

Section: A Battery Lifetime Predictionmentioning

confidence: 99%

“…The relationship between the charging voltage and the cycle life of a battery for various DOD values [8] Corrosion is an unavoidable process occurring on everything which can oxidize [9]- [10]. The loss of capacity caused by the corrosion C corr can be obtained using Eq.…”

Section: A Battery Lifetime Predictionmentioning

confidence: 99%

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Lifetime Prediction of Lead-Acid Batteries in Base-Transceiver Station

Wibawa

Pratama

Hasanah

2017

International Journal on Advanced Science, Engineering and Information Technology

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The battery is an essential component in providing continuous electricity supply using renewable energy sources. It can be found in many daily applications, such as in the telecommunication system, radio microwave system, emergency lighting, the backup system of power plants, even in a photovoltaic system. It is often used as the backup source in case of a failure in the main supply system. The duration of how long the battery can still supply energy to loads without being charged is defined as the battery autonomy day. If during its daily utilization the battery often exceeds its autonomy day, it can result in the deterioration of the battery lifetime. It produces the deviation of the battery lifetime specification which has been previously determined by the manufacturer. This paper presents the results of battery lifetime prediction at a base-transceiver station (BTS) of Telkomsel Company in Indonesia. It has two main purposes which are to evaluate the policy of autonomy day and to predict the remaining lifetime of the battery before reaching its time limit. The obtained results show that there have been some alterations from the batteries' former policy of autonomy day, from 72 hours to 43.03 hours and 43.26 hours for both existing batteries respectively with considered depth-of-discharge (DOD) of 20%. By using a linear data curve fitting, the results of calculation and analysis indicate that the remaining useful lifetime of both batteries were 5.72 years and 5.77 years. Another approach using an exponential data curve fitting resulted in the remaining lifetime of 7.12 years and 7.16 years for both batteries respectively.

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“…Si se considera en el modelo de la ecuación (3.38) los parámetros expresados en Wh, la tensión V(t) está relacionada con la corriente i(t), el estado de carga se puede expresar como [155,157]:…”

Section: Sistemas Auxiliaresunclassified

Gestión energética para flotas de vehículos eléctricos e híbridos con pila de combustible

Campana¹,

Raúl²

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An estimation method of state of charge and lifetime for lead-acid batteries in smart grid scenario

Cited by 7 publications

References 10 publications

Design and Simulation of a Powertrain System for a Fuel Cell Extended Range Electric Golf Car

Design and Simulation of a Powertrain System for a Fuel Cell Extended Range Electric Golf Car

Lifetime Prediction of Lead-Acid Batteries in Base-Transceiver Station

Gestión energética para flotas de vehículos eléctricos e híbridos con pila de combustible

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