Results 71 to 80 of about 1,423 (188)
Simulation‐Based Approaches to Thermal Estimation in Electric Vehicle Battery Cells
This study presents a simulation‐based evaluation of a hybrid fiber Bragg grating (FBG) temperature estimation framework combining the extended Kalman filter (EKF) and unscented Kalman filter (UKF) for electric vehicle (EV) lithium‐ion battery cells. The work addresses key gaps in nonlinear thermal observability, robustness under high C‐rate excitation,
Kritzman P. Jooste +3 more
wiley +1 more source
Adaptive Iterated Square-Root Cubature Kalman Filter and Its Application to SLAM of a Mobile Robot [PDF]
For the mobile robot Simultaneous Localization and Mapping(SLAM),a new algorithm is proposed, and named Adaptive Iterated Square-Root Cubature Kalman Filter based SLAM algorithm(AISRCKF-SLAM).
Cai, Biao +4 more
core +1 more source
Reduced-Complexity Algorithms for Indoor Map-Aware Localization Systems [PDF]
The knowledge of environmental maps (i.e., map-awareness) can appreciably improve the accuracy of optimal methods for position estimation in indoor scenarios.
MONTORSI, FRANCESCO +2 more
core +2 more sources
Derivative‐free square‐root cubature Kalman filter for non‐linear brushless DC motors [PDF]
This paper presents a non‐linear square‐root estimation scheme for brushless DC (BLDC) motors. The cubature Kalman filter (CKF) is the main estimation tool for the presented approach. The CKF is a recently proposed estimator for highly non‐linear systems and its efficacy has been verified on several applications.
Potnuru, D. +5 more
openaire +2 more sources
A Novel Weighted Unscented Kalman Filter for Dynamic Load Identification
To address the limitations of traditional unscented Kalman filter (UKF)‐based algorithms—which typically require either additional displacement measurements or iterative optimization for load identification—this study proposes a fast and convenient load excitation identification algorithm.
Yanzhe Zhang +4 more
wiley +1 more source
ABSTRACT We develop efficient hyperreduction methods for projection‐based model reduction of nonlinear partial differential equations (PDEs) with a large number of parameters and/or large parametric extents. Our formulation is based on the empirical quadrature procedure (EQP), which solves an optimization problem that involves “residual‐matching ...
Adrian Humphry, Masayuki Yano
wiley +1 more source
Kalman filter (KF) is a widely used technique to obtain health condition in aero engine health management, and each kind of measurement is commonly assumed to be collected and tackled simultaneously from one sensor in the KF for state tracking in ...
Feng Lu +3 more
doaj +1 more source
In this paper, a co-estimation scheme of the state of charge (SOC) and available capacity is proposed for lithium−ion batteries based on the adaptive model-based algorithm.
Zheng Chen +5 more
doaj +1 more source
A New Approach to Adaptive Signal Processing
A unified linear algebraic approach to adaptive signal processing (ASP) is presented. Starting from just Ax=b, key ASP algorithms are derived in a simple, systematic, and integrated manner without requiring any background knowledge to the field ...
Anjum, Muhammad Ali Raza
core +2 more sources
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation
Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
wiley +1 more source

