Fractional Order Modeling of a Li-ion Battery using Recursive Least Squares Approach considering the Effect of Aging and Variable Forgetting Factor
Author:
Affiliation:
1. National Institute of Technology Rourkela,Department of Electrical Engineering,Odisha,India,769008
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10441788/10441831/10442387.pdf?arnumber=10442387
Reference16 articles.
1. Fractional-order modeling and parameter identification for lithium-ion batteries
2. Fast UD factorization-based RLS online parameter identification for model-based condition monitoring of lithium-ion batteries
3. Battery aging assessment and parametric study of lithium-ion batteries by means of a fractional differential model
4. Estimation of state-of-charge and state-of-health for lithium-ion battery based on improved firefly optimized particle filter
5. Parameter identification method for lithium-ion batteries based on recursive least square with sliding window difference forgetting factor
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