An evaluation of the moving horizon estimation algorithm for online estimation of battery state of charge and state of health
Indiana University-Purdue University Indianapolis (IUPUI) === Moving Horizon Estimation (MHE) is a powerful estimation technique for tackling the estimation problems of the state of dynamic systems in the presence of constraints, nonlinearities and disturbances and measurement noises. In this work...
Main Author: | Bibin Nataraja, Pattel |
---|---|
Other Authors: | Anwar, Sohel |
Language: | en_US |
Published: |
2015
|
Subjects: | |
Online Access: | http://hdl.handle.net/1805/6293 |
Similar Items
-
State of Charge Estimation in a High Temperature Sodium Nickel Chloride Battery Using Kalman Filter
by: Martinsson, Patrik
Published: (2008) -
Multivariable Control and Online State Estimation of an FCC Unit
by: A. T. Boum, et al.
Published: (2015-10-01) -
State of Charge Estimation for Lithium-Bismuth Liquid Metal Batteries
by: Xian Wang, et al.
Published: (2019-01-01) -
Robustness Evaluation of Extended and Unscented Kalman Filter for Battery State of Charge Estimation
by: Chao Huang, et al.
Published: (2018-01-01) -
Adaptive State of Charge Estimation for Li-Ion Batteries Based on an Unscented Kalman Filter with an Enhanced Battery Model
by: Yuanyuan Liu, et al.
Published: (2013-08-01)