Prognostics and health management of lithium-ion batteries based on modeling techniques and Bayesian approaches: A review
T Ouyang, C Wang, P Xu, J Ye, B Liu - Sustainable Energy Technologies …, 2023 - Elsevier
Accurate prognostics and health management of power batteries is extremely important to
the driving safety of electric vehicles. Bayesian methods can be applied to a wide range of …
the driving safety of electric vehicles. Bayesian methods can be applied to a wide range of …
Major development under Gaussian filtering since unscented Kalman filter
AK Singh - IEEE/CAA Journal of Automatica Sinica, 2020 - ieeexplore.ieee.org
Filtering is a recursive estimation of hidden states of a dynamic system from noisy
measurements. Such problems appear in several branches of science and technology …
measurements. Such problems appear in several branches of science and technology …
An advanced mixed-degree cubature formula for reliability analysis
Efficient assessment of mechanical system reliability subject to arbitrary probability
distributions and dependent input parameters signifies an important yet challenging task. To …
distributions and dependent input parameters signifies an important yet challenging task. To …
Student's t-based robust Kalman filter for a SINS/USBL integration navigation strategy
In order to satisfy the requirements of the placement, the operation, and the high-precision
navigation and positioning for the underwater vehicles and the underwater operational …
navigation and positioning for the underwater vehicles and the underwater operational …
Improved stabilization of nonlinear DC microgrids: Cubature Kalman filter approach
This paper investigates the injecting power stabilization of nonlinear dc microgrids (MGs)
with constant power loads (CPLs). By considering a centralized controller scheme, the …
with constant power loads (CPLs). By considering a centralized controller scheme, the …
The cubature Kalman filter revisited
In this paper, the construction and effectiveness of the so-called Cubature Kalman Filter
(CKF) is revisited, as well as its extensions for higher degrees of precision. In this sense …
(CKF) is revisited, as well as its extensions for higher degrees of precision. In this sense …
Embedded cubature Kalman filter with adaptive setting of free parameter
The choice of free parameter in embedded cubature Kalman filter (ECKF) is important, and it
is difficult to choose an optimal value in practice. To solve this problem, an adaptive method …
is difficult to choose an optimal value in practice. To solve this problem, an adaptive method …
[图书][B] Nonlinear estimation: methods and applications with deterministic Sample Points
Nonlinear Estimation: Methods and Applications with Deterministic Sample Points focusses
on a comprehensive treatment of deterministic sample point filters (also called Gaussian …
on a comprehensive treatment of deterministic sample point filters (also called Gaussian …
Interpolatory cubature Kalman filters
In this study, a novel class of interpolatory cubature Kalman filters (ICKFs) with arbitrary
degrees of accuracy, including the third‐degree ICKF and the fifth‐degree ICKF, are …
degrees of accuracy, including the third‐degree ICKF and the fifth‐degree ICKF, are …
A robust Student's t based cubature filter
In the paper, a novel third-degree Student's t spherical-radial cubature rule (SRCR) is
proposed, from which a new robust Student's t based cubature filter is developed. The …
proposed, from which a new robust Student's t based cubature filter is developed. The …