Results 41 to 50 of about 1,039 (167)
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
doaj +1 more source
Estimation algorithm for vehicle state estimation using ant lion optimization algorithm
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
doaj +1 more source
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
doaj +1 more source
On Wind Directions Estimated by Nacelle Lidar Under Different Reconstruction Methods
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
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
Simultaneous 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
A multi‐side‐reaction electrochemical model is developed to predict lithium‐ion battery degradation under high temperatures, incorporating SEI growth, electrode cracking, and electrolyte oxidation. The model shows strong agreement with experimental results, enabling accurate cycle life prediction and identification of dominant aging mechanisms ...
Fei Chen +11 more
wiley +1 more source
In this study, an improved adaptive robust unscented Kalman Filter (ARUKF) is proposed for an accurate state-of-charge (SOC) estimation of battery management system (BMS) in electric vehicles (EV). The extended Kalman Filter (EKF) algorithm is first used
Cheng Li, Gi-Woo Kim
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The rise of renewable energy sources is accompanied with a depletion of raw materials used in batteries. The project summarized in this paper presents a system aiming to estimate the SOC and SOH of Lithium‐Ion Battery. This is achieved Using Mixed H∞/H2 Control with Sliding Mode Observer.
Chadi Nohra +4 more
wiley +1 more source
Safety Considerations in Deployment of Robotic Systems – A Systematic Review
ABSTRACT An in‐depth understanding of the risks related to robotic systems is crucial to guarantee safety throughout all stages of robot design and operations. This required a thorough risk assessment following international standards. This study presents a systematic review of previous research on safety considerations in the design of robotic systems,
Adedire D. Adesiji +6 more
wiley +1 more source

