Equation-Based Design of Self Charged Solar-Powered Electric Vehicle

Saleem, Adeel; Liu, Nain; Hu, Junjie; Iqbal, Atif; Hayyat, Muhammad Aftab; Ali, Waqar

doi:10.1109/acpee48638.2020.9136572

Cited by 10 publications

(3 citation statements)

References 19 publications

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“…The vehicle's charging mode is detailed in the flowchart (figure 4) with diverse conditions. Reference Drive Cycle: Analysis of reference drive cycle to understand the vehicle's power requirements and performance characteristics [11].…”

Section: Proposed Block Diagram and Flow Chartmentioning

confidence: 99%

Optimizing Electric Vehicle Range through Integrating Rooftop Solar on Vehicle

Eragamreddy,

Naik

2024

IJEER

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This paper includes the research work to investigate the optimization of electric vehicle (EV) range by integrating rooftop solar panels onto the vehicle. The primary motivation stems from the increasing power demand for EV charging, requiring substantial grid electricity production. The paper explores the installation of rooftop solar panels to augment the EV range with a single full charge, reducing the dependence on the grid. The simulations are conducted using MATLAB modeling, optimizing solar and grid charging schedules based on solar irradiation data. The outcomes showcase a 1.44 kWh battery integration with an EV equipped with a 1 kW BLDC motor, weighing 800 kg, including payload. The installation of Rooftop Solar Photovoltaic (RTSPV) improved the range of the vehicle with 18.65%, energy consumption is increased with 15.5%, Cost savings in charging the battery is up to 15.5% and travel distance with full charge is increased up to 19.6%. This analysis is made with the reference drive cycle shown in the paper. While the integration of solar panels significantly extends the vehicle range, the research emphasizes the potential for sustainable charging practices to mitigate grid dependence and reduce emissions.

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Section: Proposed Block Diagram and Flow Chartmentioning

confidence: 99%

Optimizing Electric Vehicle Range through Integrating Rooftop Solar on Vehicle

Eragamreddy,

Naik

2024

IJEER

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“…Estimation of power quality in distribution system using fuzzy logic theory (Adeel Saleem) 1237 the voltage sags varied between 4 to 10 cycles, and the total harmonic distortion is roughly 1.5 times the standard value [10]. These voltage issues are sometimes due to the integration of solar panels and renewable energies with the power grids and used for the charging of electric stations for charging electric vehicles [11], [12]. Signals causing power disturbances are categorized using pattern recognition techniques (PRT).…”

Section: Introductionmentioning

confidence: 99%

Estimation of powerquality in distribution system using fuzzy logic theory

Saleem,

Ilkhombek Khosiljonovich,

Mashkhurakhon Mutalibjon Qizi

et al. 2023

IJEECS

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There are several methods are used to calculate the power quality indicators. These objectives are now served by the most recent soft computing theories, such as neural networks, fuzzy time series, fuzzy logic theory, and other techniques. The fuzzy logic theory is one of the methods used to calculate the power quality indicators for the distribution electric network in this paper. It resolves the issue of forecasting the voltage values on distribution electrical networks' buses and enhances the quality of electricity in the face of fluctuating consumer loads and uncertainty. This paper proposed a device that has the ability for monitoring the quality of electricity domestically which leads to getting rid of many problems such as voltage deviations and asymmetrical faults. The fuzzy logic theory is implemented to develop the algorithm for this purpose. The actual data is recorded at the distribution transformer and implement the fuzzy logic theory by using a mathematical model as well as the simulation on MATLAB for optimizing the power quality indicators with the help of fuzzy logic theory and results are discussed at the end of the paper.

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“…Given the potentially substantial amount of generation from alternating power sources, MGs (micro-grids) have a small impact on the power grid. Although RES has many benefits, they are uncertain, incredibly intermittent, and climatesensitive, requiring RES to combine energy sources [13], [14], [15]. Hybrid green energy sources are very operative in generating power, even though when there is the nonappearance of a single source of power [16].…”

Section: Introductionmentioning

confidence: 99%

Load Management System with Integration of Renewable Energy Resources

Rashid

Gilany

Rasheed

et al. 2021

IJIE

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This article presents, a load management system is designed and implemented to integrate renewable energy resources (RES) (solar and wind), which manage the load according to the supply/demand and the user's priorities. The system is implemented on a hybrid system integrating wind energy, solar energy, utility supply, and battery energy storage system. Load management is carried out via switching of the loads. The sources can also be turned ON and OFF. During excess power, the battery module works as an energy storage unit or backup energy supply unit during demand. Loads can be turned ON and OFF wirelessly via GSM. The grid operator can switch the loads by simply sending a command via a short service message (SMS). In the end, the system is tested, and the results are presented. The hybrid system is simulated in MATLAB/Simulink first and then hardware implementation is carried out, which involves integrating renewable resources via converters and load management by switching using a microcontroller (Arduino).

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Equation-Based Design of Self Charged Solar-Powered Electric Vehicle

Cited by 10 publications

References 19 publications

Optimizing Electric Vehicle Range through Integrating Rooftop Solar on Vehicle

Optimizing Electric Vehicle Range through Integrating Rooftop Solar on Vehicle

Estimation of powerquality in distribution system using fuzzy logic theory

Load Management System with Integration of Renewable Energy Resources

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