Battery Energy Forecasting in Electric Vehicle Using Deep Residual Neural Network

Battery Energy Forecasting in Electric Vehicle Using Deep Residual Neural Network

In the recent decade, it is possible to use electric vehicles in a safe, cost-effective, and environmentally friendly manner, but only if accurate and trustworthy state parameter predictions are produced prior to their disposal. The state of health (SOH) of the lithium-ion batteries (LIBs) must be p...

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Bibliographic Details
Main Authors: Mohamad Reda A. Refaai, Jyothilal Nayak Bharothu, T. V. V. Pavan Kumar, Chodagam Srinivas, M. Sudhakar, Anirudh Bhowmick
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:International Journal of Photoenergy
Online Access:http://dx.doi.org/10.1155/2022/5959443
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