Работы, цитирующие эту работу

Работ: 3

Работа: New Filter-based Supervised Learning Approach for State of Charge Estimation of Li-Ion Battery for EV Applications

1. A Novel Approach for State of Health Estimation of Lithium-Ion Batteries Based on Improved PSO Neural Network Model

   Rashid Nasimov, Deepak Kumar, M. Rizwan +3

   СтатьяAdvanced Battery Technologies ResearchProcesses2024Цитирований: 8

   ABIABI:AkademIndex/openalex/2026.other.103998

2. Robust state of health estimation of commercial lithium-ion batteries based on enhanced hybrid machine learning model for electrified transportation

   Deepak Kumar, M. Rizwan, Amrish K. Panwar

   СтатьяAdvanced Battery Technologies ResearchElectrical Engineering2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000969

3. Artificial Intelligence Approaches for SOH Estimation in Lithium‐Ion Batteries: A Comprehensive Review of Progress, Critical Evaluations, Challenges, and Toward Future Outlooks

   Deepak Kumar, Rashid Nasimov, Akshat Singh +3

   СтатьяAdvanced Battery Technologies ResearchApplied Computational Intelligence and Soft Computing2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000845