Affiliation:
1. Mohan Babu University, India
2. Aditya College of Engineering and Technology, Jawaharlal Nehru Technological University, Kakinada, India
Abstract
The combination of amount computing and machine intelligence is a significant step forward in battery technology, and it is the driving force behind what can be referred to as the battery revolution. The purpose of this community is to improve battery design, optimization, and performance by utilizing the computational capacity of amount computing and the literacy capabilities of machine intelligence. Through the utilization of the capacity of amount computing to simulate intricate molecular structures and responses with an unknown level of delicacy and speed, in conjunction with the capability of machine intelligence to analyze vast datasets and forecast the most effective battery configurations, significant progress has been made in the enhancement of battery efficiency, capacity, and longevity. The purpose of this study is to investigate the synergistic link between amount computing and machine intelligence in the field of battery technology. It focuses on pressing vital advances, obstacles, and prospects.
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