Results 51 to 60 of about 9,465 (199)

Kalman-variant estimators for state of charge in lithium-sulfur batteries [PDF]

, 2017
Lithium-sulfur batteries are now commercially available, offering high specific energy density, low production costs and high safety. However, there is no commercially-available battery management system for them, and there are no published methods for ...
Auger, Daniel J., Fotouhi, Abbas, Knap, Vaclav, Longo, Stefano, Propp, Karsten   +4 more
core   +2 more sources

Pseudolite dynamic tracking and positioning algorithm based on square root UKF

Journal of Hebei University of Science and Technology, 2020
In order to solve the limitation of traditional Kalman filter in dealing with nonlinear system and the problem of divergence and poor accuracy of extended Kalman filter (EKF) in dealing with strong nonlinear system, a dynamic tracking and positioning ...
Chenhao DUAN, Jue WANG, Zhixin DENG
doaj   +1 more source

State Estimation for Kite Power Systems with Delayed Sensor Measurements [PDF]

, 2017
We present a novel estimation approach for airborne wind energy systems with ground-based control and energy generation. The estimator fuses measurements from an inertial measurement unit attached to a tethered wing and position measurements from a ...
Hesse, Henrik, Polzin, Max, Smith, Roy S., Wood, Tony A.   +3 more
core   +1 more source

Passive Radar Tracking in Clutter Using Range and Range-Rate Measurements

Sensors, 2023
Passive bistatic radar research is essential for accurate 3D target tracking, especially in the presence of missing or low-quality bearing information. Traditional extended Kalman filter (EKF) methods often introduce bias in such scenarios.
Asma Asif, Sithamparanathan Kandeepan, Robin J. Evans   +2 more
doaj   +1 more source

A Novel Extended Unscented Kalman Filter Is Designed Using the Higher-Order Statistical Property of the Approximate Error of the System Model

Actuators
In the actual working environment, most equipment models present nonlinear characteristics. For nonlinear system filtering, filtering methods such as the Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Cubature Kalman Filter (CKF) have ...
Chengyi Li, Chenglin Wen
doaj   +1 more source

Distributed Acoustic Source Tracking in Noisy and Reverberant Environments With Distributed Microphone Networks

IEEE Access, 2020
In this paper, an improved distributed unscented Kalman particle filter (DUKPF) is proposed for the problem of tracking a single moving acoustic source in noisy and reverberant environments with distributed microphone networks.
Qiaoling Zhang, Weiwei Zhang, Jie Feng, Roubing Tang   +3 more
doaj   +1 more source

State-of-Charge Estimation of Lithium-Ion Batteries Based on Fractional-Order Square-Root Unscented Kalman Filter

Fractal and Fractional, 2022
The accuracy of the state-of-charge (SOC) estimation of lithium batteries affects the battery life, driving performance, and the safety of electric vehicles.
Liping Chen, Xiaobo Wu, José A. Tenreiro Machado, António M. Lopes, Penghua Li, Xueping Dong   +5 more
doaj   +1 more source

Automated weighing by sequential inference in dynamic environments

, 2015
We demonstrate sequential mass inference of a suspended bag of milk powder from simulated measurements of the vertical force component at the pivot while the bag is being filled.
Martin, A. D., Molteno, T. C. A.
core   +1 more source

Performance analysis of state of charge and state of health prediction using Kalman filter techniques with battery parameter variation

Global Energy Interconnection
Accurate estimation of the State of Charge (SOC), State of Health (SOH), and Terminal Resistance (TR) is crucial for the effective operation of Battery Management Systems (BMS) in lithium-ion batteries.
Ranagani Madhavi, Indragandhi Vairavasundaram   +1 more
doaj   +1 more source

Accuracy Evaluation of Marginalized Unscented Kalman Filter

Space: Science & Technology, 2023
Compared with a conventional unscented Kalman filter (UKF), the recently proposed marginalized unscented Kalman filter (MUKF) uses a partially sampling strategy to achieve similar filter accuracy with fewer sigma points, demonstrating its powerful ...
Han Yan, Hanyu Liu, Xiucong Sun, Ming Xu
doaj   +1 more source