# Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/remaining-useful-life-prediction-for-lithium-ion-batteries-using-particle-filter/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Wei Qin,Huichun Lv,Chengliang Liu,Nirmalya Datta,Peyman Jahanshahi |
| Citations | 65 |
| DOI | 10.1108/imds-03-2019-0195 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2979732971 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Wei Qin](https://scholariq.org/researchers/wei-qin-2/)

## 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/)
- [Advancements in Battery Materials](https://scholariq.org/topics/advancements-in-battery-materials/)
- [Electric Vehicles and Infrastructure](https://scholariq.org/topics/electric-vehicles-and-infrastructure/)

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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.