Battery Temperature Prediction Using an Adaptive Neuro-Fuzzy Inference System

Battery Temperature Prediction Using an Adaptive Neuro-Fuzzy Inference System

Maintaining batteries within a specific temperature range is vital for safety and efficiency, as extreme temperatures can degrade a battery’s performance and lifespan. In addition, battery temperature is the key parameter in battery safety regulations. Battery thermal management systems (BTMSs) are...

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Bibliographic Details
Main Authors: Hanwen Zhang, Abbas Fotouhi, Daniel J. Auger, Matt Lowe
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Batteries
Subjects:
Li-ion battery
temperature prediction
battery thermal management
ANFIS
neural network
system identification
Online Access:https://www.mdpi.com/2313-0105/10/3/85

Internet

https://www.mdpi.com/2313-0105/10/3/85

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