An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures

An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures

The LiFePO4 (LFP) battery tends to underperform in low temperature: the available energy drops, while the state of charge (SOC) and residual available energy (RAE) estimation error increase dramatically compared to the result under room temperature, which causes mileage anxiety for drivers. This pap...

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Bibliographic Details
Main Authors: Shuoyuan Mao, Meilin Han, Xuebing Han, Languang Lu, Xuning Feng, Anyu Su, Depeng Wang, Zixuan Chen, Yao Lu, Minggao Ouyang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Batteries
Subjects:
LFP battery
SOC
RAE
electrical–thermal coupling
low temperature
Online Access:https://www.mdpi.com/2313-0105/8/10/140

Internet

https://www.mdpi.com/2313-0105/8/10/140

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