Fast Charging Station for Electrical Vehicles Based on DC Microgrid by using Fuzzy Logic Controller Article Swipe
N. Ramesh Raju
,
Rakesh Bhaskar
,
K Thulaseeswar
,
S Krishna Sagar
,
Sajan Varma
,
Teja Tallam
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48175/ijarsct-24451
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48175/ijarsct-24451
The rapid adoption of electric vehicles (EVs) has heightened the need for fast charging stations that can meet high-power demands efficiently. Conventional charging methods struggle with long durations and grid instability, especially when charging multiple vehicles simultaneously. This paper presents a fast charging station powered by a DC microgrid integrated with renewable energy sources, particularly solar photovoltaics (PVs), to mitigate the impact on the power grid. A fuzzy logic controller (FLC) is employed to regulate charging process, optimizing energy flow based on battery state-of-charge (SOC) levels. By utilizing a multistep constant current charging algorithm, the proposed system ensures faster charging while maintaining battery health. Simulation results demonstrate significant reductions in grid voltage dips and transformer overheating. A software validates the proposed methodology, highlighting the system's potential for sustainable EV charging infrastructure
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.48175/ijarsct-24451
- https://doi.org/10.48175/ijarsct-24451
- OA Status
- diamond
- References
- 24
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4408811766Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48175/ijarsct-24451Digital Object Identifier
- Title
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Fast Charging Station for Electrical Vehicles Based on DC Microgrid by using Fuzzy Logic ControllerWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2025Year of publication
- Publication date
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2025-03-25Full publication date if available
- Authors
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N. Ramesh Raju, Rakesh Bhaskar, K Thulaseeswar, S Krishna Sagar, Sajan Varma, Teja TallamList of authors in order
- Landing page
-
https://doi.org/10.48175/ijarsct-24451Publisher landing page
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https://doi.org/10.48175/ijarsct-24451Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://doi.org/10.48175/ijarsct-24451Direct OA link when available
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Microgrid, Fuzzy logic, Controller (irrigation), Computer science, Control engineering, Control theory (sociology), Automotive engineering, Electrical engineering, Engineering, Control (management), Artificial intelligence, Biology, AgronomyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.in | 109 |
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| abstract_inverted_index.on | 62, 81 |
| abstract_inverted_index.to | 58, 73 |
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| abstract_inverted_index.for | 11, 126 |
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| abstract_inverted_index.with | 25, 50 |
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| abstract_inverted_index.(FLC) | 70 |
| abstract_inverted_index.(SOC) | 84 |
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| abstract_inverted_index.fuzzy | 67 |
| abstract_inverted_index.grid. | 65 |
| abstract_inverted_index.logic | 68 |
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| abstract_inverted_index.(PVs), | 57 |
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| abstract_inverted_index.faster | 98 |
| abstract_inverted_index.impact | 61 |
| abstract_inverted_index.system | 96 |
| abstract_inverted_index.battery | 82, 102 |
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| abstract_inverted_index.ensures | 97 |
| abstract_inverted_index.health. | 103 |
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| abstract_inverted_index.process, | 76 |
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| abstract_inverted_index.software | 117 |
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| abstract_inverted_index.system's | 124 |
| abstract_inverted_index.vehicles | 5, 35 |
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| abstract_inverted_index.renewable | 51 |
| abstract_inverted_index.utilizing | 87 |
| abstract_inverted_index.validates | 118 |
| abstract_inverted_index.Simulation | 104 |
| abstract_inverted_index.algorithm, | 93 |
| abstract_inverted_index.controller | 69 |
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| abstract_inverted_index.heightened | 8 |
| abstract_inverted_index.high-power | 18 |
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| abstract_inverted_index.highlighting | 122 |
| abstract_inverted_index.instability, | 30 |
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| abstract_inverted_index.photovoltaics | 56 |
| abstract_inverted_index.infrastructure | 130 |
| abstract_inverted_index.simultaneously. | 36 |
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| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.09156542 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |