, Renewable and Sustainable Energy Reviews, Volume 113, October 2019
Accurate health estimation and lifetime prediction of lithium-ion batteries are crucial for durable electric vehicles. Early detection of inadequate performance facilitates timely maintenance of battery systems. This reduces operational costs and prevents accidents and malfunctions. Recent advancements in “Big Data” analytics and related statistical/computational tools raised interest in data-driven battery health estimation. Here, we will review these in view of their feasibility and cost-effectiveness in dealing with battery health in real-world applications.
, Renewable and Sustainable Energy Reviews, Volume 70, 1 April 2017
Equality between economic progress and environmental sustainability is essential for a developing country like India. In the present time, the economy of India is growing rapidly in a vibrant mode and an efficient way, which in turn demands huge uninterrupted energy supplies. The country's energy needs are met mostly by the usage of fossil fuels and nearly 70% of electricity is generated from coal based power plants. In India, nearly 840 million people depend on traditional biomass to satisfy their energy necessities.