Published Paper Details:

The use of electric vehicles (EVs) has been increasing due to the need for sustainable transportation. However, the main challenge of EVs is the limited range of travel, which depends on the capacity of the battery. In order to ensure reliable and efficient use of EVs, it is necessary to monitor the state of the battery. Therefore, an IoT-based battery monitoring system can be used to track the health of the battery. The proposed IoT-based battery monitoring system for electric vehicles comprises of battery sensors, microcontroller, wireless communication module, and cloud server. The battery sensors measure the voltage, current, and temperature of the battery and send the data to the microcontroller. The microcontroller processes the data and transmits it to the cloud server through the wireless communication module. The cloud server stores the data and analyzes it to generate insights about the battery's health. The IoT-based battery monitoring system provides real-time monitoring of the battery's state, including its voltage, current, and temperature. This information can be used to optimize the performance of the battery and prolong its lifespan. The data generated by the system can also be used to predict the remaining range of the EV, which can help the driver plan the journey more efficiently. Electric vehicles are popular for transportation in the current world and are taking the place of conventional vehicles since they provide a pollution-free environment. Several battery types, including lithium batteries, lead-acid batteries, nickel-metal batteries, and solid-state batteries, are utilized in electric cars. The Lithium battery is the most recommended of these battery kinds. Since it is more efficient than conventional batteries and has a high energy content per unit of mass. It can also be recycled. In this study, an Internet of Things-based battery management system is suggested. This this project, observing the display of the car utilizing IoT approaches is proposed in this study, thus the testing should be apparent. The design and development of an IoT-enabled battery monitoring system. Monitoring entails keeping an eye on critical operating factors like as voltage, smoke, and temperature during charging and discharging. This is a hardware-timed sensor system that monitors and reports different variables such as temperature, voltage, and smoke on IOT so you can see when everything has achieved the correct value. In today's hectic environment, electric vehicles play an important role in mobility. Electric vehicles (EVs) produce no emissions and help to keep our environment clean. To help the global environment grow green, the Indian government has tackled and launched the upgrading and manufacture of electric cars in the country. Electric vehicles improve power efficiency and provide fuel alternatives. EVs are battery electric vehicles that run entirely on energy and are more efficient than others. A hybrid electric vehicle is one that uses both an engine and a battery. A fuel cell electric car is one that operates on electricity generated by chemical energy. Electric vehicles (EVs) have emerged as a promising solution for sustainable transportation. However, one of the major challenges in EVs is the limited range of travel, which is dependent on the capacity and health of the battery. Therefore, it is crucial to monitor the state of the battery to ensure the reliable and efficient use of EVs. In recent years, the Internet of Things (IoT) has gained significant attention in various industries, including automotive, due to its potential to provide real-time monitoring and control of devices remotely. The application of IoT in EVs can improve the performance and efficiency of the battery, as well as enhance the driving experience of the users. This paper proposes an IoT-based battery monitoring system for electric vehicles. The system consists of battery sensors, microcontroller, wireless communication module, and cloud server. The battery sensors measure the voltage, current, and temperature of the battery and send the data to the microcontroller. The microcontroller processes the data and transmits it to the cloud server through the wireless communication module. The cloud server stores the data and analyzes it to generate insights about the battery's health. The proposed system provides real-time monitoring of the battery's state, enabling the optimization of the battery's performance and prolonging its lifespan. Moreover, the data generated by the system can be used to predict the remaining range of the EV, which can help the driver plan the journey more efficiently.