Results 51 to 60 of about 18,531 (254)

Research on Permanent Magnet Synchronous Motor Control System Based on Adaptive Kalman Filter

Applied Sciences, 2022
A sensorless control system of a permanent magnet synchronous motor based on an extended Kalman filter (EKF) algorithm faces problems with inaccurate or mismatched process noise statistics. This problem affects the performance of the filter, resulting in
Jiadong Cui, Wenhao Xing, Huibin Qin, Yongzhu Hua, Xin Zhang, Xinran Liu   +5 more
doaj   +1 more source

A particle filter for freeway traffic estimation [PDF]

, 2004
This paper considers the traffic flow estimation problem for the purposes of on-line traffic prediction, mode detection and ramp-metering control. The solution to the estimation problem is given within the Bayesian recursive framework. A particle filter (
Mihaylova, Lyudmila, Boel, R., Boel, René, Lyudmila Mihaylova, R. Boel, L. Mihaylova, Mihaylova, L., René Boel   +7 more
core   +1 more source

Flowchart for the extended Kalman filter algorithm. [PDF]

, 2023
Flowchart for the extended Kalman filter algorithm.
Muhammad Wasim (8319120), Osama A. Choudhry (16806875), Jamshed Iqbal (82302), Mohammad Ahmad Choudhry (11654931), Ahsan Ali (6478244)   +4 more
core   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Application of Kalman Filter Algorithm in Battery State-of-Charge Detection

Chemical Engineering Transactions, 2018
This paper throws light on the State-Of-Charge (SOC) and the detection technology of vehicle battery based on the Kalman filter algorithm. To fill the gaps of the Ampere-hour integration estimation algorithm and the extended Kalman filter estimation ...
Tuo Zheng
doaj   +1 more source

An Invariant Method for Electric Vehicle Battery State-of-Charge Estimation Under Dynamic Drive Cycles

IEEE Access, 2023
This paper proposes a novel invariant extended Kalman filter (IEKF), a modified version of the extended Kalman filter (EKF), for state-of-charge (SOC) estimation of lithium-ion (Li-ion) battery cells.
Ali Wadi, Mamoun Abdel-Hafez, Hashim A. Hashim, Ala A. Hussein   +3 more
doaj   +1 more source

Inference of nonlinear state-space models for sandwich-type lateral flow immunoassay using extended Kalman filtering [PDF]

, 2011
Copyright [2011] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Zeng, N, Liu, X, null Min Du, Wang, Z, null Nianyin Zeng, null Zidong Wang, Li, Y, null Yurong Li, null Xiaohui Liu, Du, M   +9 more
core   +1 more source

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar, Goktug Hambarci, Ali Sezai Demirel   +2 more
wiley   +1 more source

NONLINEAR FILTERING OF RANDOM SEQUENCES WITH EXTENDED LEAST-SQUARE METHOD 1

Informatika, 2018
For nonlinear random sequences filtering the extended least-square method is proposed. The received suboptimal filter equations include linearization for nonlinear measurement function only.
V. M. Artemiev, A. O. Naumov, L. L. Kokhan   +2 more
doaj  

Extended Kalman filtering on Stiefel manifolds

Frontiers in Signal Processing
A generalization of the extended Kalman filter for Stiefel manifold-valued measurements is presented. Our approach is based on translating between manifold-valued measurements and the ambient space through an injective mapping between scalar true ...
Jordi-Lluís Figueras, Aron Persson, Aron Persson, Lauri Viitasaari   +3 more
doaj   +1 more source