Diagnosis of Battery Degradation using IoT

Battery degradation is a critical issue in the field of battery technology, as it significantly affects the performance and lifespan of batteries used in a variety of applications, from portable electronics to electric vehicles and renewable energy systems. Battery degradation diagnosis is the process of predicting the future performance and lifespan of a battery based on its current condition and usage history. Accurate battery degradation monitoring is essential for optimizing battery performance, extending battery lifespan, and preventing unexpected failures. The study discusses the challenges associated with battery degradation prognosis, including the complexity of the battery degradation process and the limited availability of data. The study discusses the directions for battery degradation prognosis research, including the need for more accurate and reliable battery degradation models, the development of new sensor technologies, and the integration of battery degradation prognosis with other battery management systems. This study also provides valuable insights into the current state of battery degradation prognosis research and its potential impact on the field of battery technology. The research work provides how battery degradation can be accounted using Arduino.