Design and assessment of solar‐powered electric vehicle by different techniques

Khare, Vikas; Bunglowala, Aaquil

doi:10.1002/2050-7038.12271

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…See figure 1 below of the sample thin solar cells, which can be folded to take up a surface manifold, hence maximising the size of the solar panel surface for maximum energy absorption area coverage. From article [10], it is known that the formulae for calculating power output of solar panel is given as (1) below:…”

Section: Surface Manifold Hypothesismentioning

confidence: 99%

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Panel Surface Area Maximization for Increasing PV Performance

Okello

2024

Preprint

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Solar energy is one of the most important renewable energy sources for many settings, such as households, solar-powered vehicles, power grid support, etc. However, the amount of solar energy produced is directly proportional to the surface area of the solar panel exposed to the sun rays, and so the challenges arise for the space required to install solar panels in order to get maximum area coverage of sun radiation energy absorption in constricted spaces such as vehicles powered by solar, small residential apartments, etc. The challenge with solar energy is that once a plate is installed, the space under it or above it cannot be used for another solar panel installation. This is due to the fact that the shadow cast by the above solar panel or structure prevents sun rays from reaching the below solar panel. The introduction of flexible solar panels that can take on any shape has given us the opportunity to explore the possibility of maximising solar plate surface area using surface manifold techniques. In this optimisation study, the constraint is that we have a space with fixed dimensions of length, width, and height, and the objective is to maximise the surface area of the panel within the given space dimensions to maximise solar energy absorption. Thus, this paper then proposes curving the panel surface and/or protruding the surfaces of the panel using the concept of a topology surface manifold to maximise the surface area: Protruding panel surface with shapes such as pyramidal, cone, hemisphere, sinusoidal wavy curve, etc. are analysed to check if the panel surface increases at all. The geometrical design result shows that the panel surface can increase by more than 20%. Although this paper only presents concept work and details of experimental design are yet to be performed, it should also be noted that curving surfaces have drawbacks, such as some protruding parts of solar panels when the plate is tilted, not facing the sun directly, which may cast shadows on parts of the solar panel, causing hindrance.

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Section: Surface Manifold Hypothesismentioning

confidence: 99%

“…See equations ( 5) and (6). The surface area of the above surface manifold produced by curving along the x and y-axes can be obtained by using the below equation (10). This solution can be obtained numerically using MATLAB or any other numerical solver.…”

Section: Curving Surface (Along X-axis and Y-axis)mentioning

confidence: 99%

Panel Surface Area Maximization for Increasing PV Performance

Okello

2024

Preprint

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“…In this way, it is expected that accurate data on the operation of the charging system will be obtained, such as the improved percentage of autonomy of the electric vehicle [45,46] and the behavior of the mobile charging system on a pre-established route in which direct and diffuse solar radiation is present.…”

Section: Introductionmentioning

confidence: 99%

Electromobility with Photovoltaic Generation in an Andean City

Lojano-Riera,

Flores-Vázquez,

Cobos-Torres

et al. 2023

Energies

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This research focuses on the measurement of the solar generation potential on the roads of the Andean city of Cuenca, Ecuador, and its application in electric vehicles. The tests were conducted in real environments, whereby natural and artificial structures obstruct direct radiation to the panel during the trajectory. An initial study is presented with daily operating conditions, using an urban bus route as a case study. The methodology used consists of taking measurements on different days and weather conditions to evaluate the photovoltaic generation and its contribution to the energy autonomy of the electric vehicle. Additionally, the energy autonomy between the electric vehicle with its factory configuration versus the one equipped with the solar panel is compared. For this purpose, a photovoltaic panel is installed on the roof of the vehicle, connected to a control system that monitors the radiation and current data, regulating the charging and discharging of the batteries. The aim is to demonstrate that the installation of solar panels on electric vehicles can significantly increase their energy autonomy. The contribution of this research could serve as an initial guide for governments and private companies to make decisions on the deployment of electric buses, electric vehicles and other vehicles integrated with solar photovoltaic energy, taking into account their routes. The findings of the study reveal that the implementation of the mobile charging system improves the range of the electric vehicle used in this study. In detail, an average increase of 40% in range was achieved in favorable environmental conditions and an increase of 14% in unfavorable environmental conditions. It is important to highlight that Cuenca has favorable conditions for solar systems due to its geographical location: altitude, hours of radiation and angle of incidence.

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Blockchain‐Based Financial and Economic Analysis of Green Vehicles

Jain,

Khare

2024

Interconnected Modern Multi‐Energy Networks and Intelligent Transportation Systems

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Design and assessment of solar‐powered electric vehicle by different techniques

Cited by 6 publications

References 26 publications

Panel Surface Area Maximization for Increasing PV Performance

Panel Surface Area Maximization for Increasing PV Performance

Electromobility with Photovoltaic Generation in an Andean City

Blockchain‐Based Financial and Economic Analysis of Green Vehicles

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