A Novel Sequence-to-Sequence Prediction Model for Lithium-Ion Battery Capacity Degradation Based on Improved Particle Swarm Optimization

A Novel Sequence-to-Sequence Prediction Model for Lithium-Ion Battery Capacity Degradation Based on Improved Particle Swarm Optimization

The state of health (SOH) evaluation and remaining useful life (RUL) prediction for lithium-ion batteries (LIBs) are crucial for health management. This paper proposes a novel sequence-to-sequence (Seq2Seq) prediction method for LIB capacity degradation based on the gated recurrent unit (GRU) neural...

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Bibliographic Details
Main Authors: Dinghong Chen, Weige Zhang, Caiping Zhang, Bingxiang Sun, Haoze Chen, Sijia Yang, Xinwei Cong
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Batteries
Subjects:
lithium-ion battery
lifetime prediction
deep learning
sequence to sequence (Seq2Seq)
gated recurrent unit (GRU)
improved particle swarm optimization (IPSO)
Online Access:https://www.mdpi.com/2313-0105/9/8/414

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https://www.mdpi.com/2313-0105/9/8/414

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