Results 41 to 50 of about 404 (153)

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

Adaptive Non-Linear Joint Probabilistic Data Association for Vehicle Target Tracking

IEEE Access, 2021
This paper investigated the problem of multi-target tracking (MTT) over a vehicle sensor network. A novel adaptive square root cubature joint probabilistic data association (ASRCJPDA) was proposed.
Shijie Zhao, Yang Wang, Pengyu Wang, Tianfei Ma, Konghui Guo   +4 more
doaj   +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

Research on Collaborative Estimation of SOC and SOH for Lithium‐Ion Batteries Based on BS‐SRCKF‐DEKF

Energy Science &Engineering, Volume 14, Issue 3, Page 1416-1430, March 2026.
This paper presents a novel method for jointly estimating the state of charge (SOC) and state of health (SOH) in lithium‐ion battery systems. A second‐order hysteresis RC model and the BS‐SRCKF‐DEKF algorithm are used to improve estimation accuracy. Simulation and experimental results verify the method′s robustness and superior performance.
Meijin Lin, Haokun Lin, Jiehua Tan
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

Research on Near Ground Precision Application Navigation Technology of Plant Protection UAV Based on SRCKF-SLAM

Journal of Applied Science and Engineering
The traditional quaternion is used as the description parameter of the nonlinear state model of the aircraft, and the accuracy of the attitude estimation is presented. A square root cubature Kalman filter algorithm based on quaternion is proposed.
Dandan Wang, Zhaokun Zhu, Kaituo Tan, Hongjie Li, Liang Yu   +4 more
doaj   +1 more source

Application of Spherical-Radial Cubature Bayesian Filtering and Smoothing in Bearings Only Passive Target Tracking

Entropy, 2019
In this paper, an application of spherical radial cubature Bayesian filtering and smoothing algorithms is presented to solve a typical underwater bearings only passive target tracking problem effectively.
Wasiq Ali, Yaan Li, Zhe Chen, Muhammad Asif Zahoor Raja, Nauman Ahmed, Xiao Chen   +5 more
doaj   +1 more source

Dynamic Stability Analysis of Multi‐Infeed Wind Power System With Composite Dynamic Short Circuit Ratio

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
A GEDMM is proposed to represent the MIWPS as multiple VSISs and model each of them as the VTDS2M whose unknown parameters are identified with the proposed hybrid optimized square root cubature Kalman filter (HOSRCKF). To solve the issues that the physical meanings of existing short circuit ratios (SCRs) are unclear and the critical values of existing ...
Mengxian Sun, Dongdong Li, Weilun Zhong, Dajun Yu   +3 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

Multiple-sensor Fusion Tracking Based on Square-root Cubature Kalman Filtering

Journal of Networks, 2014
Nonlinear state estimation and fusion tracking are always hot research topics for information processing. Compared to linear fusion tracking, nonlinear fusion tracking takes many new problems and challenges. Especially, the performances of fusion tracking, based on different nonlinear filters, are obviously different.
openaire   +1 more source