How AI and Data Analytics will help Predict Battery Life and its Expansion - The Next Tech

In its next major breakthrough, Artificial Intelligence (AI) is defined to interrupt the battery technology distance, by combining the power of predictive intelligence and information analytics to accomplish high-performance and operational reliability. OEMs, battery pack makers, electrical fleet supervisors, and Electric Vehicle (EV) manufacturers will leverage AI, information engineering and machine learning how to remarkably enhance the battery's functionality & acquire much better ROI through all phases of the battery life cycle. With significant development and conscious efforts being led towards sustainable living and authorities pushing for fresh freedom, the worldwide EV market has been valued is estimated to reach 567,299.8 million by 2025, increasing at a CAGR of 22.3percent from 2018 to 2025. The EV uptake indicates a substantial transition in battery production volumes and improved investment in battery technologies, which is critical as EVs are costly and the price of the battery figures to 40 percent of the entire vehicle price. Lithium-ion batteries, that power high-resolution solutions such as EVs, houses & big solar/wind micro-grids, have among the maximum energy densities of almost any battery technology, a comparatively low self-discharge, & needs minimal maintenance.