Results 51 to 60 of about 1,983 (163)

Benchmarking the Transferability of Real‐Time State of Charge Algorithms to Sodium‐Ion Cells Using an Open‐Source Diagnostics Framework

Batteries &Supercaps, Volume 9, Issue 2, February 2026.
Our open‐source evaluation framework enables rigorous benchmarking of real‐time algorithims. We showcase its functionality through a sodium‐ion battery case study, highlighting key strenghts and limitations for SOC diagnostics. Despite the abundance of battery state estimation algorithms in the BMS literature, their applicability to emerging cell ...
Katharina Lilith Quade, Elias Hempen, Hanna van den Berg, Dominik Jöst, Franziska Berger, Florian Ringbeck, Dirk Uwe Sauer   +6 more
wiley   +1 more source

Study of the Effectiveness of Different Kalman Filtering Methods and Smoothers in Object Tracking Based on Simulation Tests

Reports on Geodesy and Geoinformatics, 2015
In navigation practice, there are various navigational architecture and integration strategies of measuring instruments that affect the choice of the Kalman filtering algorithm.
Malinowski Marcin, Kwiecień Janusz
doaj   +1 more source

UKF-Based Parameter Estimation and Identification for Permanent Magnet Synchronous Motor

Frontiers in Energy Research, 2022
The accuracy of rotor position estimation determines the performance of the sensorless control system of a permanent magnet synchronous motor. In order to realize the accurate control of rotor position and speed, it is necessary to identify the motor ...
Zhiwei Wang, Xin Liu, Wenzhuo Wang, Yunling Lv, Bo Yuan, Wujing Li, Qiufang Li, Shijie Wang, Qianchang Chen, Yi Zhang   +9 more
doaj   +1 more source

Matrix‐Free Kalman Filtering for Real‐Time Thermal State Estimation in Nanofluid Systems via Randomized Kaczmarz Iterations

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
ABSTRACT Classical Kalman filtering is computationally prohibitive in high‐dimensional settings because memory scales as O(n2)$\mathcal {O}(n^2)$ and covariance propagation as O(n3)$\mathcal {O}(n^3)$. For a thermal system with n=1000$n=1000$ states, a single covariance matrix already exceeds 8 MB, ruling out deployment on embedded hardware. This paper
Jaafar Almutawa
wiley   +1 more source

An Improved Robust Filter Algorithm for Manoeuvering Target Tracking With the Unknown and Time‐Varying Noise

Electronics Letters, Volume 62, Issue 1, January/December 2026.
The unstable radar measurement noise in natural environments degrades tracking performance. This Letter introduces a noise‐adaptive matrix to efficiently compute a corrected fading factor, enabling real‐time compensation for noise variations. Superior performance is verified through comparison with existing methods. ABSTRACT In the natural environment,
Tianhao Liu, Xi Chen, Naichang Yuan
wiley   +1 more source

Unscented Kalman Filter With Enhanced Generalised Cross Correlation Entropy for Robust State Estimation of Power System

IET Energy Systems Integration, Volume 8, Issue 1, January/December 2026.
ABSTRACT To solve the complex scenarios, such as multimodal noise, bad measurement data and sudden load changes, in the power system, the enhanced generalised cross correlation entropy unscented Kalman filter (EnGCCE‐UKF) method is proposed in this paper.
Liangzheng Wu, Taofei Ku, Kaiman Li, Peifeng Chen   +3 more
wiley   +1 more source

Research on Temperature Estimation Model of Planar Solid Oxide Fuel Cell Stack

IET Energy Systems Integration, Volume 8, Issue 1, January/December 2026.
ABSTRACT The solid oxide fuel cell (SOFC) is an innovation power generation device in the form of an electric stack. The temperature distribution is crucial for the stable and safe operation of the system. Considering the difficulty of accurately measuring the internal temperature of the device, this paper proposes a temperature estimation method based
Anan Zhang, Qin Xiao, Chuan Liu, Huang Huang, Qian Li, Wei Yang   +5 more
wiley   +1 more source

Time‐Varying Inertia Estimation for Grid‐Connected DFIG‐Based Wind Farms Using Sensitivity‐Guided Clustering and Aggregation

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper proposes a time‐varying inertia estimation framework based on sensitivity‐guided clustering and aggregation. It can achieve high‐accuracy inertia estimation with limited measurements, reducing the relative error by nearly 10% compared with existing methods, and exhibit strong robustness to noise and disturbances.
Yulong Li, Wei Yao, Yongxin Xiong, Hongyu Zhou, Shanyang Wei, Wei Huang, Jinyu Wen   +6 more
wiley   +1 more source

A Two‐Level Hierarchical Sparse DRL Framework for Coordinated Wide‐Area and Local Damping in DFIG‐Rich Low‐Inertia Grids

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
ABSTRACT This paper presents a two‐level hierarchical adaptive damping control strategy designed to robustly mitigate inter‐area low‐frequency oscillations (LFOs) in large‐scale power systems featuring high shares of doubly‐fed induction generator (DFIG) wind farms. The proposed structure integrates a central wide‐area damping controller (WADC), driven
Mohsen Darabian, Abdullah Ahmed Bawazir, Vipulkumar M. Dabhi, Ramneek Sidhu, Satish Choudhury   +4 more
wiley   +1 more source

Adaptive High Manoeuvring Target Tracking Algorithm Based on CNN‐LSTM Fusion Architecture

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
To solve the problems of model switching lag and tracking accuracy decline in interacting multiple model (IMM) algorithm in complex manoeuvring target tracking, an adaptive interacting multiple model unscented Kalman filter (IMM‐UKF) algorithm based on convolutional neural network and long short‐term memory network (CNN‐LSTM) fusion architecture is ...
Yuhan Cui, Chunbo Xiu, Yuxia Liu, Dawei Liu   +3 more
wiley   +1 more source