A controllable deep transfer learning network with multiple domain adaptation for battery state-of-charge estimation
Deep learning models have been drawing significant attention in the literature of state-of-
charge (SOC) estimation because of their capabilities to capture non-trivial temporal …
charge (SOC) estimation because of their capabilities to capture non-trivial temporal …
Uncorrelated sparse autoencoder with long short-term memory for state-of-charge estimations in lithium-ion battery cells
For the safe and reliable operation of battery-driven machines, accurate state-of-charge
(SOC) estimations are necessary. Unfortunately, existing methods often fail to identify …
(SOC) estimations are necessary. Unfortunately, existing methods often fail to identify …
A novel neural network with gaussian process feedback for modeling the state-of-charge of battery cells
M Savargaonkar, A Chehade… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Although several state-of-charge (SOC) estimation methods have been proposed at the
battery cell level, limited work has been done to identify the effect of cell aging on SOC …
battery cell level, limited work has been done to identify the effect of cell aging on SOC …
Polar vortex multi-day intensity prediction relying on new deep learning model: A combined convolution neural network with long short-term memory based on …
K Peng, X Cao, B Liu, Y Guo, C Xiao, W Tian - Entropy, 2021 - mdpi.com
The variation of polar vortex intensity is a significant factor affecting the atmospheric
conditions and weather in the Northern Hemisphere (NH) and even the world. However …
conditions and weather in the Northern Hemisphere (NH) and even the world. However …
State-of-Health Forecasting for Battery Cells using Bayesian Inference and LSTM-based Change Point Detection
With the global shift towards an ecologically conscious environment and the increasing
prominence of electric vehicles, the focus on Lithium-ion (Li-ion) batteries continues to grow …
prominence of electric vehicles, the focus on Lithium-ion (Li-ion) batteries continues to grow …
A Polynomial Regression Model with Bayesian Inference for State-of-Health Prediction of Li-ion Batteries
State-of-health (SOH) prediction is one of the key tasks of the Battery Management System
(BMS) to ensure improved efficiency and safe operations of Lithium-ion (Li-ion) Batteries …
(BMS) to ensure improved efficiency and safe operations of Lithium-ion (Li-ion) Batteries …
A Long Horizon Data Augmentation Technique to Produce Reliable Synthetic Battery Parameters
J Channegowda, V Maiya… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Battery driven Electric Vehicles have created huge inroads into the conventional
transportation sector over the past decade. Lowered cost and greater energy density …
transportation sector over the past decade. Lowered cost and greater energy density …
Custom AI Architectures for Predictive Analytics Using Bayesian Statistics and Deep Learning
M Savargaonkar - 2023 - deepblue.lib.umich.edu
Predictive analytics has emerged as a vital field with significant potential in industries
ranging from energy to mobility. As such, it has become a topic of considerable interest for …
ranging from energy to mobility. As such, it has become a topic of considerable interest for …
Battery state of charge prediction based on adaptive knowledge transfer mechanism and temporal deep learning model
State of charge (SOC) is an important prognostic parameter for assessing the performance
level and reliability of battery-powered systems. Most of the existing deep learning predictive …
level and reliability of battery-powered systems. Most of the existing deep learning predictive …
A Bayesian Predictive Inference with Parametric Regression Model for Battery SOH and RUL Predictions
Effective prognostic and health management of lithium-ion battery-powered systems relies
heavily on accurate prediction of battery internal state parameters, including state of health …
heavily on accurate prediction of battery internal state parameters, including state of health …