Modelling and Performance Analysis of Li-ion Batteries with Silicon Anode DOI

Kania Yusriani Amalia,

Tresna Dewi,

Rusdianasari Rusdianasari

et al.

Published: Sept. 12, 2024

Language: Английский

A comprehensive study on heat transfer mechanism and thermal runaway suppression of the lithium‐ion battery DOI
Tao Sun,

Yulong Yan,

Xinhua Wang

et al.

International Journal of Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 245, P. 127027 - 127027

Published: March 29, 2025

Language: Английский

Citations

0
A review on advanced phase change material-based cooling for energy-efficient electronics DOI Creative Commons

Ahmad Al Takash,

Khaireldin Faraj,

Jalal Faraj

et al.

Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 100994 - 100994

Published: March 1, 2025

Language: Английский

Citations

0
A novel hierarchical parameter identification method for electrochemical-thermal model of Li-ion battery DOI

Jiashuo Dong,

Dan Dan, Yihang Zhao

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 120, P. 116410 - 116410

Published: April 4, 2025

Language: Английский

Citations

0
Optimal thermal management of lithium-ion battery packs using a fuzzy neural network controller DOI

Dailin Li,

Zhiguo An, Yongfeng Zhou

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 125, P. 116960 - 116960

Published: May 9, 2025

Language: Английский

Citations

0
A Novel Approach for State of Health Estimation of Lithium-Ion Batteries Based on Improved PSO Neural Network Model DOI Open Access
Rashid Nasimov, Deepak Kumar, M. Rizwan

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(9), P. 1806 - 1806

Published: Aug. 26, 2024

The operation and maintenance of futuristic electric vehicles need accurate estimation the state health (SOH) lithium-ion batteries (LIBs). To address this issue, a robust neural network framework is proposed to estimate SOH. This article developed novel approach that combines improved particle swarm optimization (IPSO) with bidirectional long short-term memory (Bi-LSTM) effectively issue precisely estimating IPSO-Bi-LSTM model more effective than other models for SOH estimation. because Bi-LSTM can capture both past future appropriate information, making it suitable modeling complicated temporal sequences. IPSO main objective optimize hyperparameters. increase model’s accuracy, improves parameters. PSO-Bi-LSTM performed better approaches, according experimental findings based on NASA-PCOE battery dataset, all estimated outcomes, such as root mean square errors, were less 0.50%. result suggests has ability robustly high accuracy.

Language: Английский

Citations

3
Review of integrated thermal management system research for battery electrical vehicles DOI
Zhijie Zhu, Yongchang Zhang, A.D. Chen

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 106, P. 114662 - 114662

Published: Dec. 2, 2024

Language: Английский

Citations

3
Systematic investigation of hybrid cold plate combining embedded phase change material with liquid cooling minichannels under different ambient temperatures for battery thermal management DOI
Xinyu Li, Li Li,

Weixing Hang

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 108, P. 115125 - 115125

Published: Dec. 26, 2024

Language: Английский

Citations

2
An active bidirectional balancer with power distribution control strategy based on state of charge for Lithium-ion battery pack DOI

Yi‐Feng Luo,

Guan‐Jhu Chen, Chunliang Liu

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 377, P. 124661 - 124661

Published: Oct. 17, 2024

Language: Английский

Citations

1
Modeling, Design, and Optimization of Loop Heat Pipes DOI Creative Commons
Yihang Zhao, Mingshan Wei, Dan Dan

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(16), P. 3971 - 3971

Published: Aug. 10, 2024

Thermal management technology based on loop heat pipes (LHPs) has broad application prospects in transfer control for aerospace and new energy vehicles. LHPs offer excellent performance, reliability, flexibility, making them suitable high-heat flux density, high-power dissipation, complex thermal scenarios. However, due to limitations source temperature power range, LHP-based systems still face challenges, especially thermohydraulic modeling, component design, optimization. Steady-state models improve computational efficiency accuracy, while transient capture dynamic behavior under various conditions, aiding performance evaluation during start-up non-steady-state Designs single/multi-evaporators, compensation chambers, wick materials are also reviewed. Single-evaporator designs compact efficient start-up, multi-evaporator handle environments with multiple sources. Innovations materials, such as porous metals, composites, 3D printing, enhance capillary driving force performance. A comprehensive summary of working fluid selection criteria is conducted, the effects selecting organic, inorganic, nanofluid fluids evaluated. The process should consider thermodynamic properties, safety, environmental friendliness ensure optimal Additionally, mechanism optimization methods behavior, oscillation, non-condensable gas operating characteristics were summarized. Optimizing vapor/liquid distribution, load, sink enhances minimizes overshoot. Improved structures reduce oscillations. Addressing gases like titanium thermoelectric coolers ensures long-term stability reliability. This review comprehensively discusses development trends LHP technology, aiming guide design LHP.

Language: Английский

Citations

0
Modelling and Performance Analysis of Li-ion Batteries with Silicon Anode DOI

Kania Yusriani Amalia,

Tresna Dewi,

Rusdianasari Rusdianasari

et al.

Published: Sept. 12, 2024

Language: Английский

Citations

0