# Computer Vision for DC Partial Discharge Diagnostics in Traction Battery Systems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/computer-vision-for-dc-partial-discharge-diagnostics-in-traction-battery-systems/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ronan Sangouard,Ivo Freudenberg,Maximilian Kertel |
| Citations | 1 |
| DOI | 10.3390/wevj14080222 |
| Fields | Engineering,Materials Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2032-6653/14/8/222/pdf?version=1692092294 |
| OpenAlex ID | https://openalex.org/W4385833697 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Maximilian Kertel](https://scholariq.org/researchers/maximilian-kertel/)

## Paper journal

- [World Electric Vehicle Journal](https://scholariq.org/journals/world-electric-vehicle-journal/)

## Paper primary topic

- [High voltage insulation and dielectric phenomena](https://scholariq.org/topics/high-voltage-insulation-and-dielectric-phenomena/)

## Paper topics

- [High voltage insulation and dielectric phenomena](https://scholariq.org/topics/high-voltage-insulation-and-dielectric-phenomena/)
- [Power Transformer Diagnostics and Insulation](https://scholariq.org/topics/power-transformer-diagnostics-and-insulation/)
- [Advanced Battery Technologies Research](https://scholariq.org/topics/advanced-battery-technologies-research/)

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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.