Open Access

ARTICLE

Enhancing IoT-Enabled Electric Vehicle Efficiency: Smart Charging Station and Battery Management Solution

Supriya Wadekar^1,*, Shailendra Mittal¹, Ganesh Wakte², Rajshree Shinde²
1 Department of Electrical Engineering, G H Raisoni University, Amravati, 444701, Maharashtra, India
2 Department of Electrical Engineering, Tulsiramji Gaikwad Patil College of Engineering and Technology, Nagpur, 441108, Maharashtra, India
* Corresponding Author: Supriya Wadekar. Email:
(This article belongs to the Special Issue: AI in Green Energy Technologies and Their Applications)

Energy Engineering https://doi.org/10.32604/ee.2025.071761

Received 11 August 2025; Accepted 28 October 2025; Published online 02 December 2025

Abstract

Rapid evolutions of the Internet of Electric Vehicles (IoEVs) are reshaping and modernizing transport systems, yet challenges remain in energy efficiency, better battery aging, and grid stability. Typical charging methods allow for EVs to be charged without thought being given to the condition of the battery or the grid demand, thus increasing energy costs and battery aging. This study proposes a smart charging station with an AI-powered Battery Management System (BMS), developed and simulated in MATLAB/Simulink, to increase optimality in energy flow, battery health, and impractical scheduling within the IoEV environment. The system operates through real-time communication, load scheduling based on priorities, and adaptive charging based on battery mathematically computed State of Charge (SOC), State of Health (SOH), and thermal state, with bidirectional power flow (V2G), thus allowing EVs’ participation towards grid stabilization. Simulation results revealed that the proposed model can reduce peak grid load by 37.8%; charging efficiency is enhanced by 92.6%; battery temperature lessened by 4.4°C; SOH extended over 100 cycles by 6.5%, if compared against the conventional technique. By this way, charging time was decreased by 12.4% and energy costs dropped by more than 20%. These results showed that smart charging with intelligent BMS can boost greatly the operational efficiency and sustainability of the IoEV ecosystem.

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Keywords

Battery management system; internet of electric vehicles; MATLAB/Simulink; smart charging; state of charge; vehicle-to-grid

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