Design and analysis of sustainable photovoltaic solar charging system with battery storage for electric vehicles

Eyad Radwan; Emad Awada; Mutasim Nour

doi:10.11591/eei.v13i5.7508

Design and analysis of sustainable photovoltaic solar charging system with battery storage for electric vehicles

Eyad Radwan^*, Emad Awada, Mutasim Nour

^*Corresponding author for this work

School of Engineering & Physical Sciences

Research output: Contribution to journal › Article › peer-review

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Abstract

This paper presents a sustainable electric vehicle (EV) charging system that operates in three modes of operation to maximize the yield of photovoltaic (PV) system. The design and analysis of the EV charging system is customized based on the operational or office hours of a corporation. The proposed system incorporates a battery pack capable of providing at least one day of autonomy to overcome the weather conditions during early morning, shading times, or cloudy days. In this study, the perturb and observe (P&O) algorithm is modified and used to operate the PV system at maximum power point (MPP) when charging either the EV or the storage battery. The load current, in both cases, is regulated using proportional integral (PI) controllers and pulse width modulation (PWM) switching of DC-DC converter. The proposed system operation is switched between three modes (boost operation for direct charging of EV and discharging of storage battery, and buck operation for charging of storage battery) by a simple event-driven finite state machine (FSM). Simulation results showed excellent tracking behavior of the proposed system when supplying a 5 kW load with variation in solar irradiance between 1000 and 400 W/m², battery state of charge (SOC) between 40% and 100%, and temperature between 15 to 39 °C.

Original language	English
Pages (from-to)	3001-3012
Number of pages	12
Journal	Bulletin of Electrical Engineering and Informatics
Volume	13
Issue number	5
Early online date	19 Jul 2024
DOIs	https://doi.org/10.11591/eei.v13i5.7508
Publication status	Published - Oct 2024

Keywords

DC converter
Electric vehicles
Perturb and observe
Photovoltaic car park
Proportional integral controllers

ASJC Scopus subject areas

Computer Science (miscellaneous)
Control and Systems Engineering
Information Systems
Instrumentation
Hardware and Architecture
Computer Networks and Communications
Control and Optimization
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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abstract = "This paper presents a sustainable electric vehicle (EV) charging system that operates in three modes of operation to maximize the yield of photovoltaic (PV) system. The design and analysis of the EV charging system is customized based on the operational or office hours of a corporation. The proposed system incorporates a battery pack capable of providing at least one day of autonomy to overcome the weather conditions during early morning, shading times, or cloudy days. In this study, the perturb and observe (P&O) algorithm is modified and used to operate the PV system at maximum power point (MPP) when charging either the EV or the storage battery. The load current, in both cases, is regulated using proportional integral (PI) controllers and pulse width modulation (PWM) switching of DC-DC converter. The proposed system operation is switched between three modes (boost operation for direct charging of EV and discharging of storage battery, and buck operation for charging of storage battery) by a simple event-driven finite state machine (FSM). Simulation results showed excellent tracking behavior of the proposed system when supplying a 5 kW load with variation in solar irradiance between 1000 and 400 W/m2, battery state of charge (SOC) between 40% and 100%, and temperature between 15 to 39 °C.",

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AB - This paper presents a sustainable electric vehicle (EV) charging system that operates in three modes of operation to maximize the yield of photovoltaic (PV) system. The design and analysis of the EV charging system is customized based on the operational or office hours of a corporation. The proposed system incorporates a battery pack capable of providing at least one day of autonomy to overcome the weather conditions during early morning, shading times, or cloudy days. In this study, the perturb and observe (P&O) algorithm is modified and used to operate the PV system at maximum power point (MPP) when charging either the EV or the storage battery. The load current, in both cases, is regulated using proportional integral (PI) controllers and pulse width modulation (PWM) switching of DC-DC converter. The proposed system operation is switched between three modes (boost operation for direct charging of EV and discharging of storage battery, and buck operation for charging of storage battery) by a simple event-driven finite state machine (FSM). Simulation results showed excellent tracking behavior of the proposed system when supplying a 5 kW load with variation in solar irradiance between 1000 and 400 W/m2, battery state of charge (SOC) between 40% and 100%, and temperature between 15 to 39 °C.

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Design and analysis of sustainable photovoltaic solar charging system with battery storage for electric vehicles

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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