MatinHosseinianFard/Fault-Tolerant-Systems-Design-Project
A replication of "Enhancing Battery Thermal Management With Virtual Temperature Sensor Using Hybrid CNN-LSTM"
This project helps operations engineers and product developers optimize battery thermal management by predicting lithium-ion battery surface temperatures. It takes real-time voltage and current readings from a battery and outputs a precise temperature prediction, even when traditional sensors are unavailable or impractical. This enables better control and safety for battery-powered devices.
No commits in the last 6 months.
Use this if you need to monitor or manage the temperature of lithium-ion batteries without physical temperature sensors, especially in embedded systems or IoT devices.
Not ideal if you already have accurate physical temperature sensors and are not concerned with reducing hardware complexity or enabling real-time edge inference.
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 14, 2025
Commits (30d)
0
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