Electric vehicles (EVs) are representatives of the future of the automobile sector due to their many advantages over fossil fuel vehicles. The battery is their main component. Batteries can degrade over time due to overcharging, dip discharging, overheating and suffer from age-related issues. Therefore, a continuous monitoring system is essential to maintain battery health and inform the user about its condition and performance metrics. This paper provides a management system for a battery by monitoring various factors such as power, voltage, current, temperature, and real-time vehicle location via GPS (Global Positioning System), Additionally, the accelerometer is employed to analyze the EVs motion. By analyzing the EV’s motion, the system monitoring utilized power based on road conditions such as traveling on an upward road, downward road, and flat surface road. Further, this received data is transmitted to the cloud for further analysis. By analyzing these factors, the system then calculates each 10-min interval EVs distance cover. The battery health information which, enabling users to plan their journeys with confidence.

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IoT-Based Real-Time Electric Vehicles Battery Health Monitoring

  • Anand Burud,
  • Kamalakar Desai

摘要

Electric vehicles (EVs) are representatives of the future of the automobile sector due to their many advantages over fossil fuel vehicles. The battery is their main component. Batteries can degrade over time due to overcharging, dip discharging, overheating and suffer from age-related issues. Therefore, a continuous monitoring system is essential to maintain battery health and inform the user about its condition and performance metrics. This paper provides a management system for a battery by monitoring various factors such as power, voltage, current, temperature, and real-time vehicle location via GPS (Global Positioning System), Additionally, the accelerometer is employed to analyze the EVs motion. By analyzing the EV’s motion, the system monitoring utilized power based on road conditions such as traveling on an upward road, downward road, and flat surface road. Further, this received data is transmitted to the cloud for further analysis. By analyzing these factors, the system then calculates each 10-min interval EVs distance cover. The battery health information which, enabling users to plan their journeys with confidence.