Electric Vehicle Battery Health Monitoring System
Author:
Affiliation:
1. M.Kumarasamy College of Engineering,Department of Electronics and Communication Engineering,Karur,Tamilnadu,India,639 113
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10533425/10533188/10533514.pdf?arnumber=10533514
Reference20 articles.
1. Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries
2. Wolf-pack (Canis lupus) hunting strategies emerge from simple rules in computational simulations
3. Battery State-of-Charge Estimation Based on Regular/Recurrent Gaussian Process Regression
4. A coulombic efficiency-based model for prognostics and health estimation of lithium-ion batteries
5. State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks
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