Accurate State of Charge Estimation of Lithium-Ion cell using Unscented Kalman Filter
Author:
Affiliation:
1. Indian Institute of Technology Jodhpur,Transportation Electrification Lab,Jodhpur,India,342037
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10652596/10653458/10653471.pdf?arnumber=10653471
Reference16 articles.
1. A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
2. State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review
3. Thermoelectric Modeling and Online SOC Estimation of Li-Ion Battery for Plug-In Hybrid Electric Vehicles
4. Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries
5. Kalman Filter Tuning Using Multi-Objective Genetic Algorithm for State and Parameter Estimation of Lithium-Ion Cells
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