Search

Phillip Kollmeyer

Transfer learning based battery state of power estimation techniques with updating through battery lifetime
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
Technique for estimating battery system power capability using machine learning models and search algorithms
Sequence Training and Data Shuffling to Enhance the Accuracy of Recurrent Neural Network Based Battery Voltage Models
Techniques for measuring battery system state of power
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.