Results 51 to 60 of about 1,965 (164)

The Unscented Kalman Filter With Reduced Computation Time for Estimating the Attitude of the Attitude and Heading Reference System

IEEE Journal of Indoor and Seamless Positioning and Navigation
The algorithms of the Kalman filters have been used in many papers on the Pedestrian Dead Reckoning (PDR) and attitude estimation for the attitude and heading reference system (AHRS).
Shunsei Yamagishi, Lei Jing
doaj   +1 more source

Adaptive Q‐Wavelet Transform and Kalman Filtering for Power Quality Disturbance Prediction and Carbon Emission Impact Analysis in Smart Grids

Engineering Reports, Volume 8, Issue 5, May 2026.
Maintaining power quality (PQ) and minimizing carbon emissions are crucial for sustainable smart grids, especially with increasing renewable energy integration. This paper proposes a novel method combining Adaptive Q‐Wavelet Transform (AQWT) and Kalman Filtering (KF) to predict PQ disturbances and faults while analyzing their impact on carbon emissions.
Abhishek Raj, Anvesha Nandi, Sunil Kumar Sawant, Anil Kumar Swain, Ashlok Prasad Yadav, Ajaya kumar parida, Mohamed Metwally Mahmoud, Vojtech Blazek, Daniel Eutyche Mbadjoun Wapet, Shazly Nasser Fahmy   +9 more
wiley   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Estimation of Lithium-Ion Battery State of Charge: A Comparative Study of Four Variants of Kalman Filters Based on Equivalent Circuit Model

Emitor: Jurnal Teknik Elektro
State of Charge (SoC) adalah parameter kritis dalam Sistem Manajemen Baterai (BMS) lithium-ion, karena mempengaruhi keselamatan, kerahasiaan, dan efisiensi operasional.
Axiosa Nalendra Haidar Putra, Arya Kusumawardana, Heri Wijayanto, Satrio Prakoso   +3 more
doaj   +1 more source

State of Charge Estimation of EV Secondary Battery Pack Using Hybrid Hedge Feedforward Feedback‐Based Gated Recurrent Unit to Extend Lifespan

Battery Energy, Volume 5, Issue 2, March 2026.
SOC estimation is performed using a newly developed online HFF‐GRU method. Improves charge balancing among battery cells, leading to a substantial increase in the battery pack's lifespan. ABSTRACT Accurate estimation of state of charge (SoC) and maintaining balanced charge levels across secondary battery cells are crucial in battery management systems (
Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, Mohammad A. S. Masoum, Paul Moses   +4 more
wiley   +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, Vahid Behnamgol, Mona Faraji Niri, Mohamed Mohamed, Uchenna Diala, Behnaz Sohani   +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

Benchmarking the Transferability of Real‐Time State of Charge Algorithms to Sodium‐Ion Cells Using an Open‐Source Diagnostics Framework

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, Elias Hempen, Hanna van den Berg, Dominik Jöst, Franziska Berger, Florian Ringbeck, Dirk Uwe Sauer   +6 more
wiley   +1 more source

An Improved Robust Filter Algorithm for Manoeuvering Target Tracking With the Unknown and Time‐Varying Noise

Electronics Letters, Volume 62, Issue 1, January/December 2026.
The unstable radar measurement noise in natural environments degrades tracking performance. This Letter introduces a noise‐adaptive matrix to efficiently compute a corrected fading factor, enabling real‐time compensation for noise variations. Superior performance is verified through comparison with existing methods. ABSTRACT In the natural environment,
Tianhao Liu, Xi Chen, Naichang Yuan
wiley   +1 more source

Unscented Kalman Filter With Enhanced Generalised Cross Correlation Entropy for Robust State Estimation of Power System

IET Energy Systems Integration, Volume 8, Issue 1, January/December 2026.
ABSTRACT To solve the complex scenarios, such as multimodal noise, bad measurement data and sudden load changes, in the power system, the enhanced generalised cross correlation entropy unscented Kalman filter (EnGCCE‐UKF) method is proposed in this paper.
Liangzheng Wu, Taofei Ku, Kaiman Li, Peifeng Chen   +3 more
wiley   +1 more source