Search

Ali Emadi

Thermal fault detection of lithium-ion battery packs through an integrated physics and deep neural network based model
Battery state-of-health estimation using CNNs with transfer learning and multi-modal fusion of partial voltage profiles and histogram data
Driving-Aware Battery Thermal Management System in Electric Vehicles: Incorporating Cell Discharge Rate, Temperature, and Aging
Sequence Training and Data Shuffling to Enhance the Accuracy of Recurrent Neural Network Based Battery Voltage Models
A Convolutional Neural Network for Estimation of Lithium-Ion Battery State-of-Health during Constant Current Operation
Lithium-ion Battery State-of-Health Estimation via Histogram Data, Principal Component Analysis, and Machine Learning

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.