AI-Enabled Cyber Physical System And Battery Life Estimation For Smart Grid Applications
Author:
Affiliation:
1. IIT(BHU),Dept. of Computer Science and Engineering,Varanasi,India
2. IIT(BHU),Dept. of Electrical Engineering,Varanasi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10311571/10311610/10312224.pdf?arnumber=10312224
Reference9 articles.
1. A deep learning method for lithium-ion battery remaining useful life prediction based on sparse segment data via cloud computing system
2. State of Health Estimation and Remaining Useful Life Prediction of Electric Vehicles Based on Real-World Driving and Charging Data
3. Towards Remaining Useful Life Prediction in Rotating Machine Fault Prognosis: An Exponential Degradation Model
4. Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods
5. Data-Driven Fault Diagnosis of Lithium-Ion Battery Overdischarge in Electric Vehicles
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