State-of-Health Prediction Using Transfer Learning and a Multi-Feature Fusion Model

State-of-Health Prediction Using Transfer Learning and a Multi-Feature Fusion Model

Existing data-driven technology for prediction of state of health (SOH) has insufficient feature extraction capability and limited application scope. To deal with this challenge, this paper proposes a battery SOH prediction model based on multi-feature fusion. The model is based on a convolutional n...

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Bibliographic Details
Main Authors: Pengyu Fu, Liang Chu, Zhuoran Hou, Zhiqi Guo, Yang Lin, Jincheng Hu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
state of health (SOH)
convolutional neural network (CNN)
long short-term memory (LSTM)
transfer learning (TL)
multi-feature fusion (MFF)
Online Access:https://www.mdpi.com/1424-8220/22/21/8530

Internet

https://www.mdpi.com/1424-8220/22/21/8530

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