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IoT-Based System for Real-Time Monitoring and AI-Driven Energy Consumption Prediction in Fresh Fruit and Vegetable Transportation. [PDF]
Kamyod C +11 more
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Thermal management of lithium-ion batteries: from single cooling to hybrid cooling. [PDF]
Qianqian Z +6 more
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Enhancing SOC accuracy in electric vehicle batteries via trapezoidal integration and capacity degradation compensation. [PDF]
Kulkarni SV +4 more
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Optimized battery energy management using an improved type-2 fuzzy logic approach. [PDF]
Naoui M +8 more
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Flexible Sensors for Battery Health Monitoring. [PDF]
Wang X +13 more
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A thermochromic polyoxovanadate with a 200 000-fold conductivity gain for boosting zinc-ion battery performance. [PDF]
Zhang ZX +4 more
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IEEE Transactions on Intelligent Transportation Systems, 2023
Accurate state of charge (SOC) estimation of a battery pack is more meaningful than that of a cell in practical applications. The existing methods are difficult to provide an accurate SOC of a battery pack under a wide range of temperature due to cell ...
Q. Yu +4 more
semanticscholar +3 more sources
Accurate state of charge (SOC) estimation of a battery pack is more meaningful than that of a cell in practical applications. The existing methods are difficult to provide an accurate SOC of a battery pack under a wide range of temperature due to cell ...
Q. Yu +4 more
semanticscholar +3 more sources
Feature Fusion-Based Inconsistency Evaluation for Battery Pack: Improved Gaussian Mixture Model
IEEE transactions on intelligent transportation systems (Print), 2023The large-scale grouping of the battery system leads to the inconsistency of the battery pack. Aiming at tacking this issue, an inconsistency evaluation method is deployed for the battery pack based on an improved Gaussian mixture model (GMM) and feature
Jiaqiang Tian +6 more
semanticscholar +1 more source

