Работы, цитирующие эту работу

Работ: 2

Работа: Online state of charge and state of power co-estimation of lithium-ion batteries based on fractional-order calculus and model predictive control theory

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