Results 41 to 50 of about 984 (126)
Energies, 2018 This paper proposes a time-domain methodology based on the unscented Kalman filter to estimate voltage sags and their characteristics, such as magnitude and duration in power systems represented by nonlinear models.
Rafael Cisneros-Magaña +2 more
doaj +1 more source
Accurate State of Charge Estimation in Lithium‐Ion Batteries by Second‐Order Sliding Mode Observer
Battery Energy, Volume 5, Issue 2, March 2026.A finite‐time second‐order sliding mode observer (SO‐SMO) is proposed for accurate and robust state‐of‐charge estimation in lithium‐ion batteries, achieving fast convergence, chattering elimination, and superior estimation accuracy compared to conventional methods, making it ideal for real‐time battery management applications in electric and hybrid ...
Mohammad Asadi +5 more
wiley +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
A Robust Transformer–Based Error Compensation Method for Gyroscope of IMUs
Journal of Field Robotics, Volume 43, Issue 2, Page 932-948, March 2026.ABSTRACT Inertial Measurement Units (IMUs), comprising gyroscopes and accelerometers, are fundamental for motion estimation in navigation and robotics. However, their performance is often degraded by nonlinear and time‐varying errors, such as bias drift, scale‐factor deviations, and sensor noise.
Xin Ye +4 more
wiley +1 more source
Sensors, 2012 A new filter named the maximum likelihood-based iterated divided difference filter (MLIDDF) is developed to improve the low state estimation accuracy of nonlinear state estimation due to large initial estimation errors and nonlinearity of measurement ...
Changyuan Wang, Jing Zhang, Jing Mu
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Estimation algorithm for vehicle state estimation using ant lion optimization algorithm
Advances in Mechanical Engineering, 2022 In order to solve the problem of vehicle state estimation, an unscented Kalman filter state parameter estimator based on the Ant lion algorithm is proposed.
Yingjie Liu, Dawei Cui
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IEEE Access, 2021 State-of-charge (SOC) estimation of lithium-ion batteries in portable devices without sensing the current is considered in this study. Unlike the traditional approach of separate estimation of the SOC and current, we firstly reformulate the problem as ...
Jing Hou, Yan Yang, Tian Gao
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On Wind Directions Estimated by Nacelle Lidar Under Different Reconstruction Methods
Wind Energy, Volume 29, Issue 3, March 2026.ABSTRACT The wind direction is closely linked to the power performance and structural loads of wind turbines. Conventional nacelle‐mounted vanes or sonic anemometers face errors associated with airflow distortions caused by turbine blades. Nacelle‐mounted lidar systems offer line‐of‐sight speed measurements from multiple positions ahead of the rotor ...
Feng Guo +7 more
wiley +1 more source
Batteries &Supercaps, Volume 9, Issue 2, February 2026.Our open‐source evaluation framework enables rigorous benchmarking of real‐time algorithims. We showcase its functionality through a sodium‐ion battery case study, highlighting key strenghts and limitations for SOC diagnostics. Despite the abundance of battery state estimation algorithms in the BMS literature, their applicability to emerging cell ...
Katharina Lilith Quade +6 more
wiley +1 more source
Vehicle Pose Estimation Method Based on Maximum Correntropy Square Root Unscented Kalman Filter
Applied SciencesSimultaneous Localization and Mapping (SLAM) is an effective method for estimating and correcting the pose of the mobile robot. However, a large amount of external noise and observed outliers in complex unknown environments often lead to a decrease in ...
Shuyu Liu, Ying Guo
doaj +1 more source