Impedance-based overcharging and gassing model for VRLA/AGM batteries

Thele, Marc; Karden, Eckhard; Surewaard, Erik; Sauer, Dirk Uwe

doi:10.1016/j.jpowsour.2005.11.025

Cited by 34 publications

(13 citation statements)

References 9 publications

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“…AGM batteries are less prone to sulfation and can sit in storage for longer before a charge becomes necessary (Catherino et al, 2004). The battery stands up well to low temperatures and has a low self-discharge (Thele et al, 2006). Lead-Acid battery technology is generally deployed in any passenger vehicle.…”

Section: Literature Reviewmentioning

confidence: 99%

Product development strategy with quality function deployment approach: A case study in automotive battery

Darmawan¹,

Purba²,

Rezeki³

et al. 2017

10.5267/j.msl

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Customer satisfaction is one of the main factors in determining the competitiveness of every industry. Along with the technological advances, it will impact on the increasingly intense competition in the business of providing great opportunities to the consumer to find a quality product at competitive rates. The purpose of this study is to develop the quality of automotive battery products that meet consumer needs by using Quality Function Deployment (QFD) method. The application is then analyzed and its results produced a proposal for product development according to the weight and priority development on product attributes that are considered important by customers. There are two main priorities that are most desired by customers, among others for improving the quality of products maintenance free battery in automotive battery industry with quality function deployment according to consumers. Consumers need a car battery with a good durability and great performance, low price, and environment friendly features, which can be achieved by using absorbent glass mat and expanded machine technology. Based on relative weight in House of Quality, Absorbent Glass Mat receives the highest percentage of technical priority that is equal to 31% whereas technology expanded gets the second highest percentage of technical priority that is equal to 19%. It means that both technologies are more important to develop this product. Therefore, the maintenance free battery products are expected to be attractive for consumers and extensive marketing.

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Section: Literature Reviewmentioning

confidence: 99%

Product development strategy with quality function deployment approach: A case study in automotive battery

Darmawan¹,

Purba²,

Rezeki³

et al. 2017

10.5267/j.msl

View full text Add to dashboard Cite

show abstract

“…(16) with a 3 = -7.292 × 10 -7 1/(°C) 3 , a 2 = 1.509 × 10 -4 1/(°C) 2 , a 1 = -9.869 × 10 -3 1/°C, a 0 = 1.147; for ϑ 0 = 20°C, the factor is 1. …”

Section: Parametersmentioning

confidence: 99%

“…For lead acid batteries, there are two basic approaches to modeling: based on the electrochemical phenomena (e.g., [2][3][4]) or as a phenomenological model (e.g., [5,6]). Such phenomenological models, which usually contain one or two RC elements (possibly with an additional input resistance), are often used for SOC estimation; they are frequently combined with an (extended) Kalman filter (e.g., [7]).…”

Section: Introductionmentioning

confidence: 99%

Estimator for Charge Acceptance of Lead Acid Batteries

Christen

Romano

Karden

2012

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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“…The charge acceptance with HRPSOC [4] following from the nonlinear impedance-based simulation model is, however, much too optimistic [17]. It is stated that with shallow cycling the charge acceptance increases with the increased cycling time, although the SOC is approximately stable.…”

Section: B Impedance-based Nonlinear Simulation Modelmentioning

confidence: 99%

“…In [17], the gassing branch is replaced by an overcharge model. Oxygen evolution at the positive electrode, hydrogen evolution at the negative electrode, and oxygen reduction at the negative electrode are taken into account.…”

Section: B Impedance-based Nonlinear Simulation Modelmentioning

confidence: 99%

Prediction of Battery Behavior Subject to High-Rate Partial State of Charge

Bree

Veltman

Hendrix

et al. 2009

IEEE Trans. Veh. Technol.

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Abstract-An online optimization procedure provides the parameters of a nonlinear battery model by taking into account a few minutes of measured current-voltage data. Within a defined range in terms of charge current, state of charge (SOC), and duration of charge and discharge events, the model is able to capture the relevant battery dynamics and predict the behavior for the next few minutes. From the battery behavior during specific events, the state of the battery can be revealed, which is defined as the state of function. Validation, which is carried out on measured current-voltage profiles, shows the accuracy of prediction during the high-rate partial SOC operation. Even with the data measured during a city drive within a microhybrid electrical vehicle, the method is able to predict the voltage level during high-rate discharge pulses (cranking).Index Terms-Battery model, charge acceptance, high-rate partial state-of-charge (HRPSOC), hybrid electric vehicles (HEVs), lead-acid battery, state of function (SOF).

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Impedance-based overcharging and gassing model for VRLA/AGM batteries

Cited by 34 publications

References 9 publications

Product development strategy with quality function deployment approach: A case study in automotive battery

Product development strategy with quality function deployment approach: A case study in automotive battery

Estimator for Charge Acceptance of Lead Acid Batteries

Prediction of Battery Behavior Subject to High-Rate Partial State of Charge

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