Results 61 to 70 of about 792 (163)

Simulation‐Based Approaches to Thermal Estimation in Electric Vehicle Battery Cells

Modelling and Simulation in Engineering, Volume 2026, Issue 1, 2026.
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, Ali Almaktoof, Mohamed T. Kahn, Marco Bonopera   +3 more
wiley   +1 more source

A Novel Weighted Unscented Kalman Filter for Dynamic Load Identification

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
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, Bowen Zheng, Xiaoming Sun, Lina Guo, Yoshiki Ikeda   +4 more
wiley   +1 more source

Consensus Based Strong Tracking Adaptive Cubature Kalman Filtering for Nonlinear System Distributed Estimation

IEEE Access, 2019
The distributed cubature Kalman filter is widely used in the field of target tracking, however, the presence of model uncertainties will undermine its tracking stability and effectiveness for tracking maneuvering target. In order to eliminate this effect
Zheng Zhang, Qingdong Li, Liang Han, Xiwang Dong, Yuan Liang, Zhang Ren   +5 more
doaj   +1 more source

Efficient Hyperreduction for Large‐Scale Problems: Exploiting Reducible Constraint Manifolds in Empirical Quadrature Procedure

International Journal for Numerical Methods in Engineering, Volume 126, Issue 23, 15 December 2025.
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

Orthogonal Simplex Chebyshev-Laguerre Cubature Kalman Filter Applied in Nonlinear Estimation Systems

Applied Sciences, 2018
To further improve the filtering accuracy in nonlinear estimation systems, a nonlinear filter, called the orthogonal simplex Chebyshev-Laguerre cubature Kalman filter (OSCL-CKF), is proposed.
Zhuowei Liu, Shuxin Chen, Hao Wu, Fang Liang   +3 more
doaj   +1 more source

Desensitized Cubature Kalman Filter with Uncertain Parameter

CoRR, 2015
10 pages ...
openaire   +2 more sources

A probabilistic diagnostic for Laplace approximations: Introduction and experimentation

Canadian Journal of Statistics, Volume 53, Issue 4, December 2025.
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

Novel Calibration Strategy for Kalman Filter‐Based Measurement Fusion Operation to Enhance Aging Monitoring

Quality and Reliability Engineering International, Volume 41, Issue 6, Page 2290-2305, October 2025.
ABSTRACT This study introduces a novel calibration strategy for the linear Kalman filter (LKF) fusion application in condition monitoring, specifically utilizing accelerated aging data. Unlike the existing literature that often focuses on complex nonlinear Kalman filter variants, this research delves into the calibration of LKF.
Emre Genis, Duygu Bayram Kara
wiley   +1 more source

Joint Estimation of Lithium‐Ion Battery Health Status and Remaining Service Life by Transfer Learning Based on PatchTST and Dynamic Weighted MSE Loss Function

Energy Science &Engineering, Volume 13, Issue 9, Page 4371-4386, September 2025.
Develops a joint SOH‐RUL estimation model suitable for LIBs. This method leverages the PatchTST model and novel dynamic weighted kernel MSE (DWKMSE) loss function, employing transfer learning techniques to estimate SOH and RUL across different batteries. ABSTRACT This study proposes a transfer learning estimation method based on dynamic weighted kernel
Kaiyi Zhang, Xingzhu Wang
wiley   +1 more source

Research on Active Collision Avoidance Control of Vehicles Based on Estimation of Road Surface Adhesion Coefficient

World Electric Vehicle Journal
In order to solve the problem that intelligent vehicle active collision avoidance systems have different decision-making results under different road conditions, the square-root cubature Kalman filtering algorithm is used to estimate the road adhesion ...
Hongxiang Wang, Jian Wang, Ruofei Du
doaj   +1 more source