Increasing Electric Vehicle Autonomy Using a Photovoltaic System Controlled by Particle Swarm Optimization

Kraiem, Habib; Aymen, Flah; Mohamed, Naoui; Alowaidi, Majed; Bajaj, Mohit; Mishra, Shailendra; Sharma, Naveen Kumar; Sharma, Sunil Kumar

doi:10.1109/access.2021.3077531

Cited by 42 publications

(14 citation statements)

References 28 publications

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“…The results showed the importance of this addition and proved some related problems related to the resonance between the coils. This is also discussed by the authors of [15,16].…”

Section: Introductionmentioning

confidence: 72%

The Impact of Coil Position and Number on Wireless System Performance for Electric Vehicle Recharging

Mohamed

Aymen

Issam

et al. 2021

Sensors

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Recently, most transportation systems have used an integrated electrical machine in their traction scheme, resulting in a hybrid electrified vehicle. As a result, an energy source is required to provide the necessary electric power to this traction portion. However, this cannot be efficient without a reliable recharging method and a practical solution. This study discusses the wireless recharge solutions and tests the system’s effectiveness under various external and internal conditions. Moreover, the Maxwell tool is used in this research to provide a complete examination of the coils’ position, size, number, and magnetic flux evolution when the coils are translated. In addition, the mutual inductance for each of these positions is computed to determine the ideal conditions for employing the wireless recharge tool for every charging application. A thorough mathematical analysis is also presented, and the findings clearly demonstrate the relationship between the magnet flux and the various external conditions employed in this investigation.

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“…The results showed the importance of this addition and proved some related problems related to the resonance between the coils. This is also discussed by the authors of [15,16].…”

Section: Introductionmentioning

confidence: 72%

The Impact of Coil Position and Number on Wireless System Performance for Electric Vehicle Recharging

Mohamed

Aymen

Issam

et al. 2021

Sensors

Self Cite

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“…Then, at each iteration, each particle moves, linearly combining the three components mentioned above. Indeed, at iteration t + 1, the speed vector and the position vector are calculated from Equations ( 9) and (10), respectively, as follows:…”

Section: A the Pso Algorithmmentioning

confidence: 99%

“…As pointed out, these components can be used to help feed the car with electricity. It is possible to have 6 kW of electrical power in some buses or trucks with this kind of installation [10].…”

Section: Introductionmentioning

confidence: 99%

A Comparison between Particle Swarm and Grey Wolf Optimization Algorithms for Improving the Battery Autonomy in a Photovoltaic System

et al. 2021

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This research focuses on a photovoltaic system that powers an Electric Vehicle when moving in realistic scenarios with partial shading conditions. The main goal is to find an efficient control scheme to allow the solar generator producing the maximum amount of power achievable. The first contribution of this paper is the mathematical modelling of the photovoltaic system, its function and its features, considering the synthesis of the step-up converter and the maximum power point tracking analysis. This research looks at two intelligent control strategies to get the most power out, even with shading areas. Specifically, we show how to apply two evolutionary algorithms for this control. They are the “particle swarm optimization method” and the “grey wolf optimization method”. These algorithms were tested and evaluated when a battery storage system in an Electric Vehicle is fed through a photovoltaic system. The Simulink/Matlab tool is used to execute the simulation phases and to quantify the performances of each of these control systems. Based on our simulation tests, the best method is identified.

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“…In the previous three decades, this innovation was extensively researched for systems ranging from 1 kW to 50 kW, and it has demonstrated significant energy and performance increases while operating safely and dependably [7]. This machinery can be applied to the charge of the battery of an EV (Electric Vehicle) for which daily recharging is mandatory [8,9]. Different methods of control were proposed for IPT systems and resonant converters for improving the recharge phase and decreasing the recharge time.…”

Section: Introductionmentioning

confidence: 99%

Inductive Power Transmission System for Electric Car Charging Phase: Modeling plus Frequency Analysis

Mohamed

Aymen

Alqarni

2021

WEVJ

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The effectiveness of inductive power transfer (IPT) presents a serious challenge for improving the global recharge system performance. An electric vehicle (EVs) needs to be charged rapidly and have maximum power when it is charged with wireless technology. Based on various research, the performance of this recharge system is attached to several points and the frequency resonance is one of those parameters that can influence. In this paper, we try to explore the relationship between the obtained power and the signal input frequency for charging a lithium battery, solve the class imbalance problem and understand the maximum allowed frequency. To obtain the results, a mathematical model was first created to demonstrate the relationship, then the dynamic model was validated and tested using the Matlab Simulink platform. The performance of the worldwide wireless recharging system in terms of frequency variation is depicted in a summary graph.

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Increasing Electric Vehicle Autonomy Using a Photovoltaic System Controlled by Particle Swarm Optimization

Cited by 42 publications

References 28 publications

The Impact of Coil Position and Number on Wireless System Performance for Electric Vehicle Recharging

The Impact of Coil Position and Number on Wireless System Performance for Electric Vehicle Recharging

A Comparison between Particle Swarm and Grey Wolf Optimization Algorithms for Improving the Battery Autonomy in a Photovoltaic System

Inductive Power Transmission System for Electric Car Charging Phase: Modeling plus Frequency Analysis

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