Results 71 to 80 of about 984 (126)

Enhancing soil moisture simulation in the Northeast China permafrost region through the Noah-MP and Kalman filter

Journal of Hydrology: Regional Studies
Study region: Permafrost region in Northeast China. Study focus: This study aims to improve soil moisture (SM) simulation in the Northeast China permafrost region by integrating the Noah-MP land surface model with several Kalman filter–based data ...
Xianju Yuan, Ying Guo, Xianrui Yuan, Ye Lu, Xiang Li, Chengcheng Zhang, Wei Shan   +6 more
doaj   +1 more source

Research on SOC Estimation of Lithium-Ion Battery Based on CA-SVDUKF Algorithm

Batteries
Because of the problem that the traditional unscented Kalman filter algorithm (UKF) may terminate the iteration due to the non-positive definite error covariance matrix during state of charge (SOC) estimation of lithium-ion battery, considering the ...
Jinrun Cheng, Kuo Yang, Xing Hu
doaj   +1 more source

Online estimation of lithium battery SOC based on fractional order FOUKF‐FOMIUKF algorithm with multiple time scales

Energy Science & Engineering
Aiming at the matter of poor precision in predicting the charge of lithium battery by applying conventional integer‐order models and offline parameter identification, this paper proposes a joint fractional‐order multi‐innovations unscented Kalman filter (
Likun Xing, Hengqi Ren, Wenfei Luo, Zhenyun Zhang, Yangwanhao Song   +4 more
doaj   +1 more source

Robust hybrid Neural–Kalman filter for real-time supercapacitor state-of-charge estimation in electric vehicles

Future Batteries
Accurate estimation of supercapacitor state-of-charge (SOC) is vital for optimal energy management in electric vehicles (EVs), particularly within hybrid energy storage systems (HESS). Challenges arise from nonlinear dynamics, self-discharge, temperature
Islam A. Sayed, Yousef Mahmoud
doaj   +1 more source

A Gaussian Unscented Kalman Filter algorithm for indoor positioning system using Ultra Wide Band measurement

IET Radar, Sonar & Navigation
In order to further improve the accuracy of the non‐linear positioning model in the research of ultra wide band (UWB) indoor positioning, a Gaussian unscented Kalman filter (GUKF) algorithm is proposed in this paper.
DaLong Sun, Mingsheng Wei, Yiyang Lyu, Di Wang, Shidang Li, Wenshuai Li, Lei He, Shihu Zhu   +7 more
doaj   +1 more source

Comparative Analysis of State of Charge Estimation Methods for Li-Ion Batteries Using Kalman Filter Variants and Machine Learning Techniques for Electric Vehicle Applications

IEEE Access
State of Charge (SoC) measurement accuracy stands as a fundamental requirement to boost both safety and power performance together with energy efficiency in Battery Management Systems (BMS) of Electric Vehicles (EVs).
Archana Mohan, P. V. Manitha, Umashankar Subramaniam   +2 more
doaj   +1 more source

Research on GNSS/INS Integrated Navigation Method Based on Adaptive Unscented Kalman Filter

Kongzhi Yu Xinxi Jishu
Vehicle-mounted integrated navigation systems suffer from insufficient positioning accuracy in complex urban environments and traditional filtering algorithms with fixed model parameters struggle to adapt to dynamically changing noise.
ZHANG Qi, LIU Ning, ZHU Lixuan
doaj  

A TLS-Motivated Non-Iterative Robust Square-Root Cubature Kalman Filter for Bearings-Only Tracking. [PDF]

Sensors (Basel)
Li C, Wu H, Zeng G, Yang M, Zhao Y, Mehmood A.   +5 more
europepmc   +1 more source

Estimation of battery SOC using a combined approach of temporal convolutional networks and Unscented Kalman Filter. [PDF]

PLoS One
Lin H, Chen X, Zhang L, Bao Z, Tang S.
europepmc   +1 more source

An Extended Kalman Filter with Remainder Terms and Correlation Compensation for Nonlinear State Monitoring and Soft Sensing. [PDF]

Sensors (Basel)
Ke J, Wen C.
europepmc   +1 more source