Skip to main content
AkademIndex

Products

For developers

AkademBaseOpen API for the ecosystem
← Back to work

Works citing this work

3 works

Work: 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

    ArticleAdvanced Battery Technologies ResearchProcesses20248 citations
    ABI

  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

    ArticleAdvanced Battery Technologies ResearchElectrical Engineering20240 citations
    ABI

  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

    ArticleAdvanced Battery Technologies ResearchApplied Computational Intelligence and Soft Computing20250 citations
    ABI