Standby Power System VRLA Battery Reserve Life Estimation Scheme

Pascoe, P.E.; Anbuky, A.H.

doi:10.1109/tec.2005.853749

Cited by 25 publications

(13 citation statements)

References 12 publications

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“…Coup de Fouet voltage [35], internal resistance and transient current, were input into a modified extension matter-element model to develop intelligent SOH evaluation [32]. The mathematical formula is expressed as in Equation (7).…”

Section: Figurementioning

confidence: 99%

Battery Management Systems in Electric and Hybrid Vehicles

et al. 2011

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Abstract:The battery management system (BMS) is a critical component of electric and hybrid electric vehicles. The purpose of the BMS is to guarantee safe and reliable battery operation. To maintain the safety and reliability of the battery, state monitoring and evaluation, charge control, and cell balancing are functionalities that have been implemented in BMS. As an electrochemical product, a battery acts differently under different operational and environmental conditions. The uncertainty of a battery's performance poses a challenge to the implementation of these functions. This paper addresses concerns for current BMSs. State evaluation of a battery, including state of charge, state of health, and state of life, is a critical task for a BMS. Through reviewing the latest methodologies for the state evaluation of batteries, the future challenges for BMSs are presented and possible solutions are proposed as well.

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Section: Figurementioning

confidence: 99%

Battery Management Systems in Electric and Hybrid Vehicles

et al. 2011

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“…Jossen has expressed that the dynamic behavior of batteries is influenced by both the internal parameters (i.e., SOC, SOH, alternating current (ac) and direct current (dc) resistances, and the battery design parameters) and external parameters (i.e., temperature, dc current, and short-and longterm histories) [9]. Damlund [10], Cox and Perez-Kite [11], and Pasco and Anbuky [12] showed the effective parameters on the SOH. Damlund proposed two ac measuring methods for the impedance and conductance tests for determining the SOH.…”

Section: Introductionmentioning

confidence: 99%

Online State-of-Health Estimation of VRLA Batteries Using State of Charge

Shahriari

Farrokhi

2013

IEEE Trans. Ind. Electron.

171

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This paper presents an online method for the estimation of the state of health (SOH) of valve-regulated lead acid (VRLA) batteries. The proposed method is based on the state of charge (SOC) of the battery. The SOC is estimated using the extended Kalman filter and a neural-network model of the battery. Then, the SOH is estimated online based on the relationship between the SOC and the battery open-circuit voltage using fuzzy logic and the recursive least squares method. To obtain the open-circuit voltage while the battery is operating, the reflective charging process is employed. Experimental results show good estimation of the SOH of VRLA batteries.

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“…However, the problem with determining the SOH using the temperature is that the battery SOH is indirectly correlated with the temperature changes. Moreover, the temperature has a low to medium reliability in this regard [10]. The SOH of a lead acid battery can be estimated accurately by measuring the coup de fouet voltage, appearing in the early stages of the battery discharge [11, 12 and 13].…”

Section: Introductionmentioning

confidence: 99%

State of health estimation of VRLA batteries using fuzzy logic

Shahriari

Farrokhi

2010

2010 18th Iranian Conference on Electrical Engineering

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State of Health (SOH) is an important characteristicin determining the overall profile of a battery. SOH is a measure of the remaining full charge capacity of a battery with respect to its nominal capacity. As continuously charged and discharged and battery ages, the chemical composition starts to degrade. This paper describes a novel online method to determine the SOH of a battery. In the proposed method, the SOH of ValveRegulated Lead-Acid (VRLA) batteries is estimated using the relation between the State of Charge (SOC) and the battery opencircuit terminal voltage (Voc ). This estimation is performed using the least-square method and the fuzzy logic. Experimental results show good estimation of the SOH in relatively short time.

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Standby Power System VRLA Battery Reserve Life Estimation Scheme

Cited by 25 publications

References 12 publications

Battery Management Systems in Electric and Hybrid Vehicles

Battery Management Systems in Electric and Hybrid Vehicles

Online State-of-Health Estimation of VRLA Batteries Using State of Charge

State of health estimation of VRLA batteries using fuzzy logic

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