A critical review on the efficient cooling strategy of batteries of electric vehicles: Advances, challenges, future perspectives

Renewable and Sustainable Energy Reviews, Год журнала: 2024, Номер 203, С. 114732 - 114732

Опубликована: Июль 31, 2024

Язык: Английский

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Multi-physics simulation modeling and energy flow characterization of thermal management system for a sport utility vehicle under high-temperature conditions

Energy, Год журнала: 2025, Номер unknown, С. 134653 - 134653

Опубликована: Янв. 1, 2025

Язык: Английский

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Design optimization and cooling performance assessment of a pulsating Air-Cooled Lithium-Ion battery thermal management System

Thermal Science and Engineering Progress, Год журнала: 2025, Номер unknown, С. 103391 - 103391

Опубликована: Фев. 1, 2025

Язык: Английский

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Dual melting point composite phase change materials with anti-leakage and flame retardant properties for battery thermal safety systems

Journal of Energy Storage, Год журнала: 2025, Номер 111, С. 115438 - 115438

Опубликована: Янв. 18, 2025

Язык: Английский

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Remaining Useful Life Estimation of Lithium-Ion Batteries Based on Small Sample Models

Energies, Год журнала: 2024, Номер 17(19), С. 4932 - 4932

Опубликована: Окт. 2, 2024

Accurate prediction of the Remaining Useful Life (RUL) lithium-ion batteries is essential for enhancing energy management and extending lifespan across various industries. However, raw capacity data these often noisy exhibits complex nonlinear degradation patterns, especially due to regeneration phenomena during operation, making precise RUL a significant challenge. Although deep learning-based methods have been proposed, their performance relies heavily on availability large datasets, satisfactory accuracy achievable only with extensive training samples. To overcome this limitation, we propose novel method that integrates sequence decomposition algorithms an optimized neural network. Specifically, Complementary Ensemble Empirical Mode Decomposition Adaptive Noise (CEEMDAN) algorithm employed decompose data, effectively mitigating noise from regeneration. Subsequently, Particle Swarm Optimization (PSO) used fine-tune hyperparameters Bidirectional Gated Recurrent Unit (BiGRU) model. The final BiGRU-based model was extensively tested eight battery datasets NASA CALCE, demonstrating robust generalization capability, even limited data. experimental results indicate CEEMDAN-PSO-BiGRU can reliably accurately predict batteries, providing promising reliable in practical applications.

Язык: Английский

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Experimental Study on Fire Behavior of 18650 Ncm Lithium-Ion Batteries Using Different Heating Methods

Опубликована: Янв. 1, 2025

In this study, the fire behavior of LiNi0.5Co0.3Mn0.2O2 (NCM) batteries was experimentally studied employing different thermal abuse methods. Two heating methods—namely, rod and disc—and three distinct continuous times (i.e., duration following a fire, referred to as CHT) are investigated. Fire characteristics such (including flame height width), mass loss, temperature distribution, smoke gas emissions were analyzed in detail. Results indicate that methods directly affect its combustion behavior. For given CHT, heated by disc exhibit more intense burning with higher jet fires due superior heat transfer efficiency uniform internal provided disc. Conversely, show pronounced exhaust phenomena persist for longer durations.As CHT increases, average disc-heated shows clear increasing trend. The total loss varies across CHTs reaches maximum at 60 s. contrast, battery rod, peaks = 30 s but decreases thereafter, accompanied decreasing trend loss. Finally, produces toxic gases after ignition, effects on concentration have been thoroughly examined. These findings provide critical insights into runaway lithium-ion significant importance enhancing their safety performance.

Язык: Английский

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One-step oil bath fabrication of multistage porous polymers coated K0.5Mn2O4·1.5H2O composite with ultra-high zinc storage properties

Journal of Energy Storage, Год журнала: 2025, Номер 109, С. 115252 - 115252

Опубликована: Янв. 5, 2025

Язык: Английский

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Flexible composite phase change materials with high thermal conductivity and electrical insulation properties for lithium-ion battery thermal management

Applied Thermal Engineering, Год журнала: 2025, Номер unknown, С. 125706 - 125706

Опубликована: Янв. 1, 2025

Язык: Английский

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Fusion Control Strategy Based on Rule and Dynamic Objective of Heat Pump Type Thermal Management System for Electric Vehicles

SAE technical papers on CD-ROM/SAE technical paper series, Год журнала: 2025, Номер 1

Опубликована: Янв. 31, 2025

<div class="section abstract"><div class="htmlview paragraph">Thermal management system of electric vehicles (EVs) is critical for the vehicle's safety and stability. While maintaining components within their optimal temperature ranges, it also essential to reduce energy consumption thermal system. Firstly, a kind architecture integrated (ITMS) proposed, which can operate in multiple modes meet various demands. Two typical operating vehicle cooling summer heating winter, utilizes residual heat from drive system, are respectively introduced. The ITMS based on pump enables efficient transfer between different components. Subsequently, an model developed, including subsystems such as battery powertrain cabin description modeling process each subsystem provided detail. tested under world light test cycle (WLTC) condition six groups validate its feasibility. Next, dynamic objective control strategy proposed. It divides into time steps, where at step, non-dominated sorting genetic algorithm II (NSGA-II) employed perform multi-objective optimization temperature, state charge (SOC). Different objectives prioritized stages achieve control. A fusion developed by combining rule-based with Finally, comparative validation three strategies—rule-based control, control—is conducted 40°C conditions. results indicate that designed effective. not only achieves desirable but reduction certain extent, alleviates range anxiety.</div></div>

Язык: Английский

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Developing a novel battery thermal management system utilizing supercritical CO2 as the cooling medium

Applied Energy, Год журнала: 2024, Номер 381, С. 125207 - 125207

Опубликована: Дек. 26, 2024

Язык: Английский

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