Teleconnections detection of land use carbon emissions beyond geographical proximity promotes the construction of cross-city networks

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113092 - 113092

Published: Jan. 1, 2025

Language: Английский

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Prediction of Lithium-ion Battery Degradation Trajectory in Electric Vehicles Under Real-World Scenarios

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134663 - 134663

Published: Jan. 1, 2025

Language: Английский

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Correlation Analysis of Automotive Battery State-of-Health Indicators for Advanced Battery Management Systems

SAE technical papers on CD-ROM/SAE technical paper series, Journal Year: 2025, Volume and Issue: 1

Published: Jan. 31, 2025

<div class="section abstract"><div class="htmlview paragraph">With increasing global attention on environmental issues and the greenhouse effect, electric vehicles (EVs) have become a focal point for sustainable transportation solutions. Lithium-ion batteries are integral to EVs due their high energy density, elevated operating voltage, long service life. However, performance is highly influenced by factors such as ambient temperature, charge discharge rates, aging processes. To enhance safety, reliability, efficiency of lithium-ion battery systems, it critical develop robust advanced management system (BMS) that can monitor states accurately in real-time. A key aspect BMS design estimation prediction battery's state health (SOH). Accurately characterizing SOH during actual usage conditions essential optimal longevity. This study investigates various indicator extraction methods reported literature, including features related incremental capacity (IC) curves. Correlation analyses these indicators conducted using two experimental datasets. The results demonstrate selected strong correlations with SOH, confirming effectiveness prediction. By validating specific indicators, this research contributes development more reliable efficient strategies, offering significant practical application value advancement vehicle technologies.</div></div>

Language: Английский

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High-accuracy cell discrimination based on multiple regression combined with k-means clustering algorithm for lithium-ion rechargeable cells

Journal of Power Electronics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 21, 2025

Language: Английский

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An efficient catalyst screening strategy combining machine learning and causal inference

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 377, P. 124665 - 124665

Published: Feb. 24, 2025

Language: Английский

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Improved particle swarm optimization-adaptive dual extended Kalman filtering for accurate battery state of charge and state of energy joint estimation with efficient core factor feedback correction

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135686 - 135686

Published: March 1, 2025

Language: Английский

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Prior task aware-augmented meta learning for early state-of-health estimation of lithium-ion batteries

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135648 - 135648

Published: March 1, 2025

Language: Английский

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Battery capacity correction method for electric vehicles based on knowledge distillation and multi-feature coupling

Journal of Power Sources, Journal Year: 2025, Volume and Issue: 643, P. 236909 - 236909

Published: April 16, 2025

Language: Английский

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SOH evaluation and RUL estimation of lithium-ion batteries based on MC-CNN-TimesNet model

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 111125 - 111125

Published: April 1, 2025

Language: Английский

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Remaining Life Prediction Method for Lithium Batteries Based on the Fusion of Multiple Health Factors

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 156 - 163

Published: Jan. 1, 2025

Language: Английский

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