2009 Second International Conference on Computer and Electrical Engineering 2009
DOI: 10.1109/iccee.2009.254
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Design, Simulation and Implementation of an Intelligent Battery Charging System

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Cited by 6 publications
(2 citation statements)
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“…The graph below shows the power output of the stationary PV system [27]. In the stationary PV module, the sun irradiation is maximum around the periods around noon since the sun will be overhead the solar panel hence the panel generates a peak power Engineering Technology Open Access Journal value at this time hence describe the curve below shows the power increases at around noon (Figure 12) [28][29][30].…”
Section: Comparison Of the Stationary Pv System And Pv Solar Tracking...mentioning
confidence: 99%
“…The graph below shows the power output of the stationary PV system [27]. In the stationary PV module, the sun irradiation is maximum around the periods around noon since the sun will be overhead the solar panel hence the panel generates a peak power Engineering Technology Open Access Journal value at this time hence describe the curve below shows the power increases at around noon (Figure 12) [28][29][30].…”
Section: Comparison Of the Stationary Pv System And Pv Solar Tracking...mentioning
confidence: 99%
“…In recent years, some breakthroughs [4][5] have been made worldwide in the field of batteries management system and fast charging. Malekjamshidi et al [6] studied the battery charged intelligent system, taking into account the temperature control and fast charging requirements of batteries. Xu et al [7] applied the Kalman filtering theory to the estimation of the SOC by using a stochastic fuzzy neural network to model the battery nonlinear dynamic.…”
Section: Introductionmentioning
confidence: 99%