Battery health management—a perspective of design, optimization, manufacturing, fault detection, and recycling-Reference-Cited by-同舟云学术

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Battery health management—a perspective of design, optimization, manufacturing, fault detection, and recycling

Published:2024-09 Issue:3 Volume:3 Page:190-208
ISSN:2772-6835
Container-title:Energy Storage and Saving
language:en
Short-container-title:Energy Storage and Saving

Author:

Roy Pavel M.^ORCID,Sawant Harsh H.^ORCID,Shelar Pratik P.^ORCID,Sarode Prashil U.^ORCID,Gawande S.H.^ORCID

Publisher

Elsevier BV

Reference100 articles.

1. Electrochemical model-based investigation of thick LiFePO4 electrode design parameters;Franke-Lang;Modelling,2021

2. The effect of electrode design parameters on battery performance and optimization of electrode thickness based on the electrochemical–thermal coupling model;Mei;Sustain. Energy Fuels,2019

3. Machine learning for optimal electrode wettability in lithium ion batteries;El Malki;J. Power Sources Adv.,2023

4. Fast charging optimization for lithium-ion batteries based on improved electro-thermal coupling model;Li;Energies,2022

5. Reliability-based robust design optimization of lithium-ion battery cells for maximizing the energy density by increasing reliability and robustness;Park;Energies,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. From data to durability: Evaluating conventional and optimized machine learning techniques for battery health assessment;Results in Engineering;2024-09

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