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Multiphysics Feature-Based State-of-Energy Estimation for LiFePO4 Batteries Using Bidirectional Long Short-Term Memory and Particle Swarm-Optimized Kalman Filter.

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Title: Multiphysics Feature-Based State-of-Energy Estimation for LiFePO4 Batteries Using Bidirectional Long Short-Term Memory and Particle Swarm-Optimized Kalman Filter.
Authors: Wu, Zhengpu1, He, Xu1,2, Chen, Haisen1, Lv, Lu1,2, Jiang, Jiuchun1, Wang, Lujun2, wanglujun@zju.edu.cn
Source: Applied Sciences (2076-3417); May2025, Vol. 15 Issue 9, p5003, 19p
Database: Applied Science & Technology Source
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  Data: Multiphysics Feature-Based State-of-Energy Estimation for LiFePO4 Batteries Using Bidirectional Long Short-Term Memory and Particle Swarm-Optimized Kalman Filter.
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        Value: 10.3390/app15095003
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        Text: English
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      – TitleFull: Multiphysics Feature-Based State-of-Energy Estimation for LiFePO4 Batteries Using Bidirectional Long Short-Term Memory and Particle Swarm-Optimized Kalman Filter.
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            – D: 01
              M: 05
              Text: May2025
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              Y: 2025
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