Results 81 to 90 of about 1,611 (218)
Infrastructure Wi-Fi for connected autonomous vehicle positioning : a review of the state-of-the-art [PDF]
, 2019 In order to realize intelligent vehicular transport networks and self driving cars, connected autonomous vehicles (CAVs) are required to be able to estimate their position to the nearest centimeter.
Adegoke, Elijah I. +5 more
core +1 more source
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
IEEE Access, 2018 Kalman filter (KF) is a widely used technique to obtain health condition in aero engine health management, and each kind of measurement is commonly assumed to be collected and tackled simultaneously from one sensor in the KF for state tracking in ...
Feng Lu +3 more
doaj +1 more source
Energies, 2020 In this paper, a co-estimation scheme of the state of charge (SOC) and available capacity is proposed for lithium−ion batteries based on the adaptive model-based algorithm.
Zheng Chen +5 more
doaj +1 more source
Nonlinear Attitude Filtering: A Comparison Study [PDF]
, 2015 This paper contains a concise comparison of a number of nonlinear attitude filtering methods that have attracted attention in the robotics and aviation literature.
Mahony, R., Trumpf, J., Zamani, M.
core +1 more source
Nonlinear state estimation using neural-cubature Kalman filter [PDF]
, 2017 The cubature Kalman filter (CKF) has been widely used in solving nonlinear state estimation problems because of many advantages such as satisfactory filtering accuracy and easy implementation compared to extended Kalman filter and unscented Kalman filter.
Fan Xun +3 more
core +2 more sources
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
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 +3 more
wiley +1 more source
Centralized Multi-Sensor Square Root Cubature Joint Probabilistic Data Association
Sensors, 2017 This paper focuses on the tracking problem of multiple targets with multiple sensors in a nonlinear cluttered environment. To avoid Jacobian matrix computation and scaling parameter adjustment, improve numerical stability, and acquire more accurate ...
Yu Liu +5 more
doaj +1 more source
Machine Learning for Modeling the Singular Multi-Pantograph Equations
Entropy, 2020 In this study, a new approach to basis of intelligent systems and machine learning algorithms is introduced for solving singular multi-pantograph differential equations (SMDEs).
Amirhosein Mosavi +5 more
doaj +1 more source