TTSNet: State-of-Charge Estimation of Li-Ion Battery in Electrical Vehicles With Temporal Transformer-Based Sequence Network-Reference-Cited by-同舟云学术

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TTSNet: State-of-Charge Estimation of Li-Ion Battery in Electrical Vehicles With Temporal Transformer-Based Sequence Network

Published:2024-06 Issue:6 Volume:73 Page:7838-7851
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Bao Zhengyi¹^ORCID,Nie Jiahao¹^ORCID,Lin Huipin¹^ORCID,Gao Kejie²^ORCID,He Zhiwei¹^ORCID,Gao Mingyu¹^ORCID

Affiliation:

1. School of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou, China

2. Zhejiang Leapmotor Technology Company Ltd., Hangzhou, China

Funder

National Major Scientific Research Instrument Development Project of China

Zhejiang Provincial Major Research and Development Project of China

Central Guiding Local Science and Technology Development Fund Projects of China

Zhejiang Provincial Key Lab of Equipment Electronics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10564808/10382587.pdf?arnumber=10382587

Reference48 articles.

1. A Novel Single/Multiple Output Multilevel Buck Rectifier for EV-Battery Charging

2. Li-ion Battery-based Hybrid Diesel-Electric Railway Vehicle: In-depth Life Cycle Cost Analysis

3. Reliability Prediction of Battery Management System for Electric Vehicles Based on Accelerated Degradation Test: A Semi-Parametric Approach

4. Higher Order Sliding-Mode Observers for State-of-Charge and State-of-Health Estimation of Lithium-Ion Batteries

5. A combined method for state-of-charge estimation for lithium-ion batteries using a long short-term memory network and an adaptive cubature Kalman filter

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel temporal-frequency dual attention mechanism network for state of charge estimation of lithium-ion battery;Journal of Power Sources;2024-12

2. A novel hybrid electrochemical equivalent circuit model for online battery management systems;Journal of Energy Storage;2024-10

3. Transformer-Based Deep Learning Models for State of Charge and State of Health Estimation of Li-Ion Batteries: A Survey Study;Energies;2024-07-17

4. State of charge estimation for lithium-ion battery using Time Series Transformer with De-noise De-stationary Inception Network;Journal of Energy Storage;2024-07

5. A hybrid neural network based on KF-SA-Transformer for SOC prediction of lithium-ion battery energy storage systems;Frontiers in Energy Research;2024-06-21

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