Smart Power Management and Traffic Control System for Electric Vehicle Using Arduino Mega

Abstract-This paper presents a Smart Power Manage­ment and Traffic Control System for Electric Vehicles (EVs) using Arduino Mega The system enhances EV efficiency by managing dual power sources solar panels and batteries through DC voltage sensors and an LDR-based solar tracking servo mechanism. A dual-battery setup enables one battery to charge while the other powers the DC motor, with relay-based automatic switching for uninterrupted opera­tion. For intelligent traffic control, the system uses RSSI (Received Signal Strength Indicator) to automate vehicle responses to traffic lights, improving road safety. Real-time data on power, battery levels, and traffic signals is pro­cessed by the Arduino and displayed on an LCD, with remote monitoring enabled via IoT. This integrated system promotes sustainable, safe, and smart urban mobility. Keywords: Electric Vehicle, BMS, Arduino Mega, Solar Tracking, RSSI, IoT, Traffic Control System, Rechargeable battery

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-09
DOI
https://doi.org/10.55041/ijsrem47284
Primary Topic
IoT-based Smart Home Systems
Type
article
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article

Smart Power Management and Traffic Control System for Electric Vehicle Using Arduino Mega

Syed Feroze Hussain S
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
IoT-based Smart Home Systems
article

Smart Power Management and Traffic Control System for Electric Vehicle Using Arduino Mega

Syed Feroze Hussain S
article en

Abstract

Abstract-This paper presents a Smart Power Manage­ment and Traffic Control System for Electric Vehicles (EVs) using Arduino Mega The system enhances EV efficiency by managing dual power sources solar panels and batteries through DC voltage sensors and an LDR-based solar tracking servo mechanism. A dual-battery setup enables one battery to charge while the other powers the DC motor, with relay-based automatic switching for uninterrupted opera­tion. For intelligent traffic control, the system uses RSSI (Received Signal Strength Indicator) to automate vehicle responses to traffic lights, improving road safety. Real-time data on power, battery levels, and traffic signals is pro­cessed by the Arduino and displayed on an LCD, with remote monitoring enabled via IoT. This integrated system promotes sustainable, safe, and smart urban mobility. Keywords: Electric Vehicle, BMS, Arduino Mega, Solar Tracking, RSSI, IoT, Traffic Control System, Rechargeable battery

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 92%
IoT-based Smart Home Systems
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Smart Power Management and Traffic Control System for Electric Vehicle Using Arduino Mega — Syed Feroze Hussain S · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS