Gaussian process regression for forecasting battery state of health

16 March 2017

Papers citing "Gaussian process regression for forecasting battery state of health"

14 / 14 papers shown

Title
Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models With and Without Pre-Trained Priors Michael J. Kenney Katerina G. Malollari Sergei V. Kalinin M. Ziatdinov BDL 36 0 0 08 Oct 2024
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 33 75 0 07 May 2023
Learning battery model parameter dynamics from data with recursive Gaussian process regression A. Aitio Dominik Jöst D. Sauer David A. Howey 11 5 0 26 Apr 2023
Machine Learning for a Sustainable Energy Future Zhenpeng Yao Yanwei Lum Andrew K. Johnston L. M. Mejia-Mendoza Xiaoxia Zhou Yonggang Wen Alán Aspuru-Guzik E. Sargent Z. Seh 32 211 0 19 Oct 2022
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies Adam Thelen Xiaoge Zhang Olga Fink Yan Lu Sayan Ghosh B. Youn Michael D. Todd S. Mahadevan Chao Hu Zhen Hu SyDa AI4CE 27 189 0 26 Aug 2022
Case-based reasoning for rare events prediction on strategic sites Vincent Vidal M. Corbineau Tugdual Ceillier 21 0 0 10 Feb 2022
Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts M. Huotari S. Arora A. Malhi Kary Främling 29 21 0 06 Jul 2021
A Dynamic Battery State-of-Health Forecasting Model for Electric Trucks: Li-Ion Batteries Case-Study M. Huotari S. Arora A. Malhi Kary Främling 12 5 0 30 Mar 2021
Slip-Based Autonomous ZUPT through Gaussian Process to Improve Planetary Rover Localization Cagri Kilic Nicholas Ohi Yu Gu Jason N. Gross 26 33 0 13 Mar 2021
Multivariable Fractional Polynomials for lithium-ion batteries degradation models under dynamic conditions C. B. Salucci Azzeddine Bakdi I. Glad E. Vanem R. D. Bin 9 14 0 16 Feb 2021
Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries Kailong Liu Xiaosong Hu Zhongbao Wei Yi Li Yan Jiang 18 250 0 31 Dec 2020
Gaussian Processes with Skewed Laplace Spectral Mixture Kernels for Long-term Forecasting Kai Chen Twan van Laarhoven E. Marchiori AI4TS 39 8 0 08 Nov 2020
Understanding the effect of hyperparameter optimization on machine learning models for structure design problems Xianping Du Hongyi Xu Feng Zhu AI4CE 9 44 0 04 Jul 2020
Latent Function Decomposition for Forecasting Li-ion Battery Cells Capacity: A Multi-Output Convolved Gaussian Process Approach Abdallah A. Chehade A. Hussein BDL 15 16 0 19 Jul 2019