# A Data-Driven Digital Twin of Electric Vehicle Li-Ion Battery State-of-Charge Estimation Enabled by Driving Behavior Application Programming Interfaces

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-data-driven-digital-twin-of-electric-vehicle-li-ion-battery-state-of-charge/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Reda Issa,Mohamed M. Badr,Omar Shalash,Ali A. Othman,Eman Hamdan,Mostafa S. Hamad,Ayman S. Abdel‐Khalik,Shehab Ahmed,Sherif M. Imam |
| Citations | 42 |
| DOI | 10.3390/batteries9100521 |
| Fields | Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2313-0105/9/10/521/pdf?version=1698048910 |
| OpenAlex ID | https://openalex.org/W4387875371 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Omar Shalash](https://scholariq.org/researchers/omar-shalash/)

## 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/)
- [Electric and Hybrid Vehicle Technologies](https://scholariq.org/topics/electric-and-hybrid-vehicle-technologies/)

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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.