Funder
Massachusetts Institute of Technology
University of Maryland
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Sichuan Province Youth Science and Technology Innovation Team
National Safety Academic Fund
Subject
Electrical and Electronic Engineering,Physical and Theoretical Chemistry,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
Reference44 articles.
1. Multiple health indicators assisting data-driven prediction of the later service life for lithium-ion batteries;Jiang;J. Power Sources,2022
2. Model parameter identification for lithium batteries using the coevolutionary particle swarm optimization method;Yu;IEEE Trans. Ind. Electron.,2017
3. An interval prediction approach based on fuzzy information granulation and linguistic description for remaining useful life of lithium-ion batteries;Pang;J. Power Sources,2022
4. Remaining useful life and state of health prediction for lithium batteries based on differential thermal voltammetry and a deep-learning model;Ma;J. Power Sources,2022
5. Remaining useful life prediction of lithium-ion batteries based on conditional variational autoencoders-particle filter;Jiao;IEEE Trans. Instrum. Meas.,2020