TS fuzzy output control for a boost converter in PV systems

Belattar, Abdellatif; Chennanni, Mohammed; Doubabi, Saïd

doi:10.1109/irsec.2015.7455051

Cited by 3 publications

(1 citation statement)

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“…In LSV used in these race vehicles, the PV generator is the main source in the power system and as its production depends on sunlight [4], a storage system is required to ensure the energy demand all time [5,6]. In order to achieve the same power and the same energy density as in internal combustion engines, the battery is combined with a SC which can provide high power during acceleration periods or under high demand.…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria and Hierarchical Level Energy Management System for Light Solar Vehicle Integrating a Supercapacitor

Belattar¹,

Hamdaouy²,

Madi³

2020

JESA

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In this paper, multi-criteria and hierarchical energy management system (EMS) for a light solar vehicle (LSV) is investigated. This vehicle uses of a lithium-ion battery (bat), a supercapacitor (SC), a photovoltaic (PV) generator and a propulsion system. The proposed management strategy aims to enhance power sharing between multiple sources with different characteristics, and to optimize power trajectory in order to avoid the energy losses in the DC/DC converters. For this sake, the developed strategy is based on five modes switching process. The proposed EMS consists of three hierarchical levels. The high level defines dynamically mode operation according to system situation and management strategy (decision strategy). It employs the state of charge of the battery (SOCbat), the state of charge of SC (SOCsc), the PV power (Ppv) and the load power (Pload) as a four-information sensor to distinguish different modes and determine the mode selected. While the medium level, integrates an algorithm to compute the reference power for the SC and the battery at each instant and according to selected mode. The low level plays an interface between EMS and DC/DC converters. It is composed from the proportional integral (PI) controllers which provide a pulse width modulation (PWM) signal to DC/DC converters. It is noteworthy here that the fuzzy logic (FL) technology is used to implement the suggested EMS. The obtained results of various simulations demonstrate the effectiveness and reliability of the proposed strategy.

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Section: Introductionmentioning

confidence: 99%