Journal article Open Access

# Framework for Real-Time Monitoring of Battery Performance in Electric Vehicles and Locating Charging Facilities Nearby

Pranay Jain; Sanjana Kumari; Shreenivas B

### DataCite XML Export

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<identifier identifierType="URL">https://zenodo.org/record/5410126</identifier>
<creators>
<creator>
<creatorName>Pranay Jain</creatorName>
<affiliation>Dept. of Telecommunication Engineering, BMS  College of Engineering, Bangalore, India.</affiliation>
</creator>
<creator>
<creatorName>Sanjana Kumari</creatorName>
<affiliation>Dept. of Telecommunication Engineering, BMS College of Engineering, Bangalore, India.</affiliation>
</creator>
<creator>
<creatorName>Shreenivas B</creatorName>
<affiliation>Dept. of Telecommunication Engineering, BMS College of Engineering, Bangalore, India.</affiliation>
</creator>
</creators>
<titles>
<title>Framework for Real-Time Monitoring of Battery Performance in Electric Vehicles and Locating Charging Facilities Nearby</title>
</titles>
<publisher>Zenodo</publisher>
<publicationYear>2021</publicationYear>
<subjects>
<subject>Electric Vehicles, Battery, Charging stations,  Mobile.</subject>
<subject subjectScheme="issn">2249-8958</subject>
<subject subjectScheme="handle">100.1/ijeat.F29800810621</subject>
</subjects>
<contributors>
<contributorName>Blue Eyes Intelligence Engineering  and Sciences Publication (BEIESP)</contributorName>
<affiliation>Publisher</affiliation>
</contributor>
</contributors>
<dates>
<date dateType="Issued">2021-08-30</date>
</dates>
<language>en</language>
<resourceType resourceTypeGeneral="JournalArticle"/>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5410126</alternateIdentifier>
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<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="ISSN" relationType="IsCitedBy" resourceTypeGeneral="JournalArticle">2249-8958</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.35940/ijeat.F2980.0810621</relatedIdentifier>
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<rightsList>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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<descriptions>
<description descriptionType="Abstract">&lt;p&gt;Electric vehicles (EVs) are becoming more prevalent in the market. In a world where all vehicles are electric, it will be necessary to provide infrastructure on average highways that is similar to the energy consumption of the automobiles on that highway. As a result, a large transition from one type of energy carrier to electrical energy would be required. In comparison to where we are now, this translates into a significant increase in the carrying capacity of the power grid. Electric vehicles are in increasing demand because they have several advantages over gasoline-powered vehicles. On the other hand, limited battery power stations and a lack of infrastructure giving real-time vehicle performance parameters such as battery efficiency, durability, total distance travelled before being totally depleted, and so on should be considered. As a result, an embedded system is being developed in our project to address the aforementioned restrictions. The suggested research demonstrates all of the mathematical calculations of battery characteristics (including but not limited to battery efficiency and percentage durability), which aids in evaluating real-time batter performance. The system was tested and verified in laboratories using acceptable methodologies. In addition, a mobile application for the end-user is being created to provide information on battery parameters as well as the maximum distance it can travel till full discharge.&lt;/p&gt;</description>
</descriptions>
</resource>

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