The effect of temperature on VRLA reaction rates and the determination of battery state of charge. II. Fundamental considerations

Vaccaro, F.J.; Rhoades, J.; Le, B.

doi:10.1109/intlec.1997.645893

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…The SOC estimation for lead acid batteries is discussed for stationary and non stationary applications in [5] and [6] respectively. In [1], the authors developed an extended Kalman filter to estimate the SOC of the battery using open circuit battery voltage method.…”

Section: Set) = Voc(t)-vb Somentioning

confidence: 99%

Battery state of charge estimation using adaptive subspace identification method

Swarup

Tan

Liu

et al. 2011

2011 9th IEEE International Conference on ASIC

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Estimation of battery state of charge (SOC) is essential for many emerging battery powered applications such as smart phones, electric and hybrid electric vehicles. In this paper, we propose a new battery SOC estimation method using adaptive subspace identification method. The subspace identification method is a numerically robust approach and is used to build the dynamic linear model based on battery's terminal voltages and current. To deal with the non linearity of the battery, the transient battery terminal voltages and current are partitioned into piecewise linear regions and subspace identification is performed on each linear region. As a result, the battery SOC can be accurately calculated for each region. Our experiments show that the new method has an error margin of 1.4% from ideal SOC values as given by Dualfoil, a powerful battery simulator. This outperforms the least square estimation algorithm, which is found to have a higher error margin of 4.5% for some load profiles, while not converging at all for some other load profiles.

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Section: Set) = Voc(t)-vb Somentioning

confidence: 99%

Battery state of charge estimation using adaptive subspace identification method

Swarup

Tan

Liu

et al. 2011

2011 9th IEEE International Conference on ASIC

View full text Add to dashboard Cite

show abstract

“…Other efforts have been made to estimate the batteries SOC. In [1], [10], and [17] stationary (vehicle not under motion) estimation applications were investigated, while in [3], [4], and [6] nonstationary (vehicle under motion) estimation application were discussed. From these works, five categories for estimating SOC have been determined as follows [15]: (i) electrolyte specific gravity, (ii) stabilized float current, (iii) coulometric measurement, (iv) open circuit battery voltage, and (v) loaded battery voltage.…”

Section: Introductionmentioning

confidence: 99%