Results 11 to 20 of about 512,282 (391)
State of charge estimation of lithium-ion battery based on extended Kalman filter algorithm
Frontiers in Energy Research, 2023 Due to excellent power and energy density, low self-discharge and long life, lithium-ion battery plays an important role in many fields. Directed against the complexity of above noises and the strong sensitivity of the common Kalman filter algorithm to ...
Jiamiao Xie +6 more
semanticscholar +1 more source
Remote Sensing, 2021 The extended Kalman filter is an extended version of the Kalman filter for a non-linear problem. This study applies this extended Kalman filter to the real-time estimation of the parameters of the dual-pol radar rain rate estimator.
Wooyoung Na, Chulsang Yoo
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Factor graph optimization for GNSS/INS integration: A comparison with the extended Kalman filter
Navigation, 2021 Factor graph optimization (FGO) recently has attracted attention as an alternative to the extended Kalman filter (EKF) for GNSS-INS integration.
W. Wen, Tim Pfeifer, Xiwei Bai, L. Hsu
semanticscholar +1 more source
Machines, 2023 This paper analyzes the performance of Kalman filter-based estimators for robust filtering and rotor asymmetry detection in wound rotor induction machines (WRIMs) using real-time data. Filter models were designed based on an extended model of WRIMs.
Furzana John Basha, Kumar Somasundaram
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Scientific Reports, 2021 An accurate state of charge (SOC) estimation in battery management systems (BMS) is of crucial importance to guarantee the safe and effective operation of automotive batteries.
Shichun Yang +7 more
semanticscholar +1 more source
Energies, 2021 The growing share of renewable energies in power production and the rise of the market share of battery electric vehicles increase the demand for battery technologies.
Benedikt Rzepka, Simon Bischof, T. Blank
semanticscholar +1 more source
A quantum extended Kalman filter [PDF]
Journal of Physics A: Mathematical and Theoretical, 2017 A stochastic filter uses a series of measurements over time to produce estimates of unknown variables based on a dynamic model. For a quantum system, such an algorithm is provided by a quantum filter, which is also known as a stochastic master equation (SME).
Emzir, Muhammad F +2 more
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An Extended Kalman Filter for Data-Enabled Predictive Control [PDF]
IEEE Control Systems Letters, 2020 The literature dealing with data-driven analysis and control problems has significantly grown in the recent years. Most of the recent literature deals with linear time-invariant systems in which the uncertainty (if any) is assumed to be deterministic and
Daniele Alpago, F. Dörfler, J. Lygeros
semanticscholar +1 more source
Extended fractional singular kalman filter [PDF]
Applied Mathematics and Computation, 2021 Abstract Effective and accurate state estimation is a staple of modern modeling. On the other hand, nonlinear fractional-order singular (FOS) systems are an attractive modeling tool as well since they can provide accurate descriptions of systems with complex dynamics.
Komeil Nosrati +3 more
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Atmospheric Science Letters, Volume 24, Issue 1, January 2023., 2023 We report on a meeting on progress and challenges in convection‐permitting data assimilation. Novel developments include the assimilation of novel observations such as cloud‐affected satellite radiances, ground‐based profiling networks and aircraft data, as well as methodological advancements in error covariance modelling, and progress in operational ...
Guannan Hu +7 more
wiley +1 more source