A meta-learning based multimodal neural network for multistep ahead battery thermal runaway forecasting

A meta-learning based multimodal neural network for multistep ahead battery thermal runaway forecasting

An effective forecast method to trigger Thermal Runaway (TR) warning in an early stage is essential for monitoring battery safety. In this article, we propose a novel data-driven approach to perform multistep ahead forecast accurately for battery TR state at cell-level. We formulate this forecasting...

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Bibliographic Details
Main Authors: Ding, Shuya, Dong, Chaoyu, Zhao, Tianyang, Koh, Liang Mong, Bai, Xiaoyin, Luo, Jun
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Feature Extraction
Batteries
Online Access:https://hdl.handle.net/10356/160292

Internet

https://hdl.handle.net/10356/160292

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