Работы, цитирующие эту работу

Работ: 2

Работа: Prognostics and health management of Lithium-ion battery using deep learning methods: A review

1. 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

2. Intelligent design of lithium-ion battery thermal management systems for electric vehicles: Integration of gene expression programming modeling and multi-objective atomic orbital search optimization

   Hangxin Liu, Ahmad Alkhayyat, Normurot Fayzullaev +7

   СтатьяAdvanced Battery Technologies ResearchJournal of Power Sources2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000089