Results 71 to 80 of about 792 (163)

Enhancing Energy Storage Efficiency: Advances in Battery Management Systems in Electric Vehicles

Energy Technology, Volume 13, Issue 8, August 2025.
The rapid adoption of electric vehicles (EVs) underscores the urgent need for advanced battery management systems (BMS) to ensure safety, efficiency, and reliability. This article delves into the core functionalities of BMS, including state estimation, thermal management, and cell balancing, which are pivotal for optimizing battery performance ...
Hamid Naseem, Abdul Hadi, Min‐Jae Kang, Jul‐Ki Seok   +3 more
wiley   +1 more source

A Type‐3 Fuzzy‐Based Model Predictive Control Approach for Management of Constant Energy

Energy Science &Engineering, Volume 13, Issue 6, Page 2647-2662, June 2025.
Application of the type‐3 fuzzy logic system (T3‐FLS) for management of constant energy and a comparison with the type‐2 fuzzy logic system. ABSTRACT Despite direct current (DC) microgrids' benefits over alternating current microgrids, these systems confront several difficulties.
Man‐Wen Tian, Lixing Zhu, Mohammad Hosein Sabzalian, Jafar Tavoosi, Amirhosein Khosravi Sarvenoee, Pierpaolo D'Urso, Ebrahim Ghaderpour, Ardashir Mohammadzadeh   +7 more
wiley   +1 more source

Optimized Hybrid Probabilistic and Geometric Constellation Shaping for Coherent Optical Communication Systems Using End‐to‐End Learning

Advanced Photonics Research, Volume 6, Issue 4, April 2025.
In this article, hybrid probabilistic and geometric constellation shaping to enhance spectral efficiency in coherent optical communication systems, particularly under a Wiener phase noise channel, is investigated. By integrating a two‐stage phase search algorithm with digital signal processing and gradient descent, the method outperforms geometrically ...
Zhiyang Liu, Lu Zhang, Xiaoyu Liu, Shilin Xiao, Weiying Yang, Weisheng Hu   +5 more
wiley   +1 more source

Application of Strong Tracking Cubature Kalman Filter in Air-to-Air Missile Guidance [PDF]

Hangkong bingqi
A strong tracking cubature Kalman filter(STCKF) method is proposed to overcome the challenges of insufficient nonlinear approximation capability and decreased tracking accuracy of traditional filtering algorithms in dealing with complex maneuvering ...
Liang Jinxin, Tang Qi, Cui Hao, Zhang Gongping
doaj   +1 more source

CKFNet: Neural Network Aided Cubature Kalman Filtering

IEEE Signal Processing Letters
The cubature Kalman filter (CKF), while theoretically rigorous for nonlinear estimation, often suffers performance degradation due to model-environment mismatches in practice. To address this limitation, we propose CKFNet-a hybrid architecture that synergistically integrates recurrent neural networks (RNN) with the CKF framework while preserving its ...
Jinhui Hu, Haiquan Zhao 0001, Yi Peng
openaire   +2 more sources

Multi-Agent cubature Kalman optimizer: A novel metaheuristic algorithm for solving numerical optimization problems

International Journal of Cognitive Computing in Engineering
Optimization problems arise in diverse fields such as engineering, economics, and industry. Metaheuristic algorithms, including the Simulated Kalman Filter (SKF), have been developed to solve these problems.
Zulkifli Musa, Zuwairie Ibrahim, Mohd Ibrahim Shapiai   +2 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

An Improved Gaussian Filter for Dynamic Positioning Ships With Colored Noises and Random Measurements Loss

IEEE Access, 2018
An improved Gaussian Filter (GF) is designed for nonlinear Dynamic Positioning (DP) ships with cross-correlated colored noises and random measurements loss.
Xiaogong Lin, Yuzhao Jiao, Dawei Zhao
doaj   +1 more source

Adaptive Minimum Error Entropy Cubature Kalman Filter in UAV-Integrated Navigation Systems

Drones
Small unmanned aerial vehicles are now commonly equipped with integrated navigation systems to obtain high-precision navigation parameters. However, affected by the dual impacts of multipath effects and dynamic environmental changes, their state ...
Xuhang Liu, Hongli Zhao, Yicheng Liu, Suxing Ling, Xinhanyang Chen, Chenyu Yang, Pei Cao   +6 more
doaj   +1 more source

Robust Student’s t-Based Stochastic Cubature Filter for Nonlinear Systems With Heavy-Tailed Process and Measurement Noises

IEEE Access, 2017
In this paper, a new robust Student's t-based stochastic cubature filter (RSTSCF) is proposed for a nonlinear state-space model with heavy-tailed process and measurement noises.
Yulong Huang, Yonggang Zhang
doaj   +1 more source