Parameter Estimation for Lithium-ion Batteries Based on the Weighted Gradient Descent Algorithm
Author:
Affiliation:
1. Qingdao University of Science and Technology,College of Automation and Electronic Engineering,Qingdao,China,266061
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10326447/10326467/10327465.pdf?arnumber=10327465
Reference22 articles.
1. Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems
2. Separable Multi-innovation Newton Iterative Modeling Algorithm for Multi-frequency Signals Based on the Sliding Measurement Window
3. Adaptive Fractional-order Unscented Kalman Filters for Nonlinear Fractional-order Systems
4. A fractional-order model-based state estimation approach for lithium-ion battery and ultra-capacitor hybrid power source system considering load trajectory
5. Nonlinear system identification using fractional Hammerstein–Wiener models
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