2018
DOI: 10.18280/mmc_a.910303
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Modelling and analysis of a hybrid controller applied to the ultracapacitor based solar powered electric vehicle

Abstract: The high power density capability of Ultracapacitor (UC) can be utilized by developing of Hybrid Energy Storage System (HESS) with a conventional power source, battery. UC power mainly used during peak power requirement of electric vehicle (EV) / Hybrid electric vehicle (HEV) on the other hand side battery is treated as a main source of the entire system and it serves the average power to the load. Energy management between the sources, is the primary difficulty associated with HESS powered electric vehicles. … Show more

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Cited by 1 publication
(3 citation statements)
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“…An artificial neural network-based power management system can be employed to manage power flow between these components. The system uses a neural network algorithm to predict the motor's power demand and optimize power flow from PV panels, batteries, and supercapacitors to the DC bus link [25]. The DC-AC inverter converts DC power to AC power to drive the AC motor.…”
Section: Description Of the Studied Systemmentioning
confidence: 99%
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“…An artificial neural network-based power management system can be employed to manage power flow between these components. The system uses a neural network algorithm to predict the motor's power demand and optimize power flow from PV panels, batteries, and supercapacitors to the DC bus link [25]. The DC-AC inverter converts DC power to AC power to drive the AC motor.…”
Section: Description Of the Studied Systemmentioning
confidence: 99%
“…To factor in the impact of cellbalancing intervention and energy loss that results from capacitor self-discharge, an equivalent resistance (Rp) is connected in parallel to the series RC circuit. This model is illustrated in Figure 4 [30].…”
Section: Modeling Of the Supercapacitormentioning
confidence: 99%
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