# Estimation of the residual useful life of EV batteries using advanced hybrid learning tools

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/estimation-of-the-residual-useful-life-of-ev-batteries-using-advanced-hybrid/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shimaa A. Hussien,Amal BaQais,Mostafa Al‐Gabalawy |
| Citations | 14 |
| DOI | 10.1007/s00202-023-02071-3 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4388525438 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Shimaa A. Hussien](https://scholariq.org/researchers/shimaa-a-hussien/)

## Paper journal

- [Electrical Engineering](https://scholariq.org/journals/electrical-engineering/)

## Paper primary topic

- [Advanced Battery Technologies Research](https://scholariq.org/topics/advanced-battery-technologies-research/)

## Paper topics

- [Advanced Battery Technologies Research](https://scholariq.org/topics/advanced-battery-technologies-research/)
- [Electric Vehicles and Infrastructure](https://scholariq.org/topics/electric-vehicles-and-infrastructure/)
- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.