Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
May 7, 2024Batteries & Supercaps

State of Health Estimation of Lithium‐ion Batteries Based on Machine Learning with Mechanical‐Electrical Features

View Full Paper
Ask AI
Bookmark
Share

Authors

LGLili GongUniversity of Science and Technology of ChinaZZZhiyuan ZhangUniversity of Shanghai for Science and TechnologyXLXueyan LiKunming University of Science and Technology

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Gong et al. (2024) studied this question.

synapsesocial.com/papers/68e6b291b6db643587633dadhttps://doi.org/10.1002/batt.202400201
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning2022 · 218 citations
  2. 2A Double-Scale, Particle-Filtering, Energy State Prediction Algorithm for Lithium-Ion Batteries2017 · 291 citations
  3. 3A Phenomenological Model of Bulk Force in a Li-Ion Battery Pack and Its Application to State of Charge Estimation2014 · 115 citations