"A hybrid deep learning and multi-Physics approach for real-time SOC and ..."

Jamila Hemdani et al. (2025)

> Home

Details and statistics

DOI: 10.1109/CODIT66093.2025.11321918

access: closed

type: Conference or Workshop Paper

metadata version: 2026-03-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/codit/HemdaniDSRTC25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/codit/HemdaniDSRTC25
Jamila Hemdani, Laid Degaa, Moêz Soltani, Nassim Rizoug, Achraf Jabeur Telmoudi, Abdelkader Chaari:
A hybrid deep learning and multi-Physics approach for real-time SOC and SOH Estimation in electric vehicle batteries. CoDIT 2025: 1-6

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.