Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Fengwei Liang"'
1
Akademický článek
Multi-Scale Fusion Model Based on Gated Recurrent Unit for Enhancing Prediction Accuracy of State-of-Charge in Battery Energy Storage Systems
Autor: Hao Liu, Fengwei Liang, Tianyu Hu, Jichao Hong, Huimin Ma
Publikováno v: Journal of Modern Power Systems and Clean Energy, Vol 12, Iss 2, Pp 405-414 (2024)
Accurate prediction of the state-of-charge (SOC) of battery energy storage system (BESS) is critical for its safety and lifespan in electric vehicles. To overcome the imbalance of existing methods between multi-scale feature fusion and global feature
Externí odkaz: https://doaj.org/article/b296cba9877e4f3096b6dd20c366425e
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2
Akademický článek
Research progress, trends and prospects of big data technology for new energy power and energy storage system
Autor: Jichao Hong, Fengwei Liang, Haixu Yang
Publikováno v: Energy Reviews, Vol 2, Iss 3, Pp 100036- (2023)
The development of new energy industry is an essential guarantee for the sustainable development of society, and big data technology can enable new energy industrialization. Firstly, this paper presents an in-depth analysis and discussion of big data
Externí odkaz: https://doaj.org/article/6edf924afd9e4a25b0193f3326dcb8c3
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3
Akademický článek
Remaining useful life and state of health prediction for lithium batteries based on differential thermal voltammetry and a deep learning model
Autor: Lisheng Zhang, Wentao Wang, Hanqing Yu, Zheng Zhang, Xianbin Yang, Fengwei Liang, Shen Li, Shichun Yang, Xinhua Liu
Publikováno v: iScience, Vol 25, Iss 12, Pp 105638- (2022)
Summary: The accurate estimation of battery health conditions is a crucial challenge for development of battery management systems due to the degradation of cathode and anode materials. In this paper, a fusion of deep learning model and feature analy
Externí odkaz: https://doaj.org/article/a03716e8afee48cba8de6c1afd423f21
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4
Akademický článek
Lithium-Ion Battery State of Health Estimation with Multi-Feature Collaborative Analysis and Deep Learning Method
Autor: Xianbin Yang, Bin Ma, Haicheng Xie, Wentao Wang, Bosong Zou, Fengwei Liang, Xiao Hua, Xinhua Liu, Siyan Chen
Publikováno v: Batteries, Vol 9, Iss 2, p 120 (2023)
The accurate estimation of the battery state of health (SOH) is crucial for the dependability and safety of battery management systems (BMS). The generality of existing SOH estimation methods is limited as they tend to primarily consider information
Externí odkaz: https://doaj.org/article/9f7a3bd1e345487dbf88058f322e4bbd
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5
Akademický článek
Accurate State of Charge Estimation for Real-World Battery Systems Using a Novel Grid Search and Cross Validated Optimised LSTM Neural Network
Autor: Jichao Hong, Fengwei Liang, Xun Gong, Xiaoming Xu, Quanqing Yu
Publikováno v: Energies, Vol 15, Iss 24, p 9654 (2022)
State of charge (SOC) is one of the most important parameters in battery management systems, and the accurate and stable estimation of battery SOC for real-world electric vehicles remains a great challenge. This paper proposes a long short-term memor
Externí odkaz: https://doaj.org/article/e900e81443094806aadb8e51adf80e93
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6
Akademický článek
Early Prediction of the Health Conditions for Battery Cathodes Assisted by the Fusion of Feature Signal Analysis and Deep-Learning Techniques
Autor: Wentao Wang, Lisheng Zhang, Hanqing Yu, Xianbin Yang, Teng Zhang, Siyan Chen, Fengwei Liang, Huizhi Wang, Xuekun Lu, Shichun Yang, Xinhua Liu
Publikováno v: Batteries, Vol 8, Iss 10, p 151 (2022)
With rapid development of clean energy vehicles, the health diagnosis and prognosis of lithium batteries remain challenging for practical applications. Accurate state-of-health (SOH) and remaining useful life (RUL) estimation provides crucial informa
Externí odkaz: https://doaj.org/article/100248d19b3c4a77b3c87645c1f51bcc
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9
Investigation on Battery Thermal Management Based on Enhanced Heat Transfer Disturbance Structure within Mini-Channel Liquid Cooling Plate
Autor: Renzheng Li, Yi Yang, Fengwei Liang, Jichao Liu, Xinbo Chen
Publikováno v: Electronics
Volume 12
Issue 4
Pages: 832
The battery thermal management system plays an important role in the safe operation of a lithium-ion battery system. In this paper, a novel liquid cooling plate with mini-channels is proposed and is improved with disturbance structures. First, an acc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29f0d2a543316634d590282d8aca998a
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