Results 51 to 60 of about 984 (126)

Electrochemical Modeling and Degradation Analysis of Lithium‐Ion Batteries in High Temperature Environments

Battery Energy, Volume 5, Issue 1, January 2026.
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, Fan Yang, Haoran Chu, Jiatong Xu, Kaiyi Yang, Justice D. Akoto, Ali Haider, Xingrui Wang, Jie Yang, Xinhua Liu, Zhiming Feng, Rui Tan   +11 more
wiley   +1 more source

Improved State-of-Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Parameter Estimation and Multi-Innovation Adaptive Robust Unscented Kalman Filter

Energies
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
doaj   +1 more source

A New Approach for Estimation of Lithium‐Ion Battery State of Charge and Health Using Mixed H∞/H2 Control With Sliding Mode Observer

Battery Energy, Volume 5, Issue 1, January 2026.
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, Jalal Faraj, Bechara Nehme, Mahmoud Khaled, Rachid Outbib   +4 more
wiley   +1 more source

Safety Considerations in Deployment of Robotic Systems – A Systematic Review

Journal of Field Robotics, Volume 43, Issue 1, Page 5-33, January 2026.
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, Segun E. Ibitoye, Rasheedat M. Mahamood, Olalekan A. Olayemi, Peter O. Omoniyi, Tien‐Chien Jen, Esther T. Akinlabi   +6 more
wiley   +1 more source

An Adaptive Robust Square Root Unscented Kalman Filter for State of Charge Estimation for Lithium-ion Batteries [PDF]

International Journal of Industrial Electronics, Control and Optimization
Accurate estimation of State of Charge (SOC) is essential for the efficiency, safety, and durability of battery-powered devices, playing a vital role in Battery Management Systems (BMS).
Ramezan Havangi, Fatemeh Karimi
doaj   +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

Precise Train Positioning With Unscented Kalman Filter and Low-Cost Sensors

IEEE Open Journal of Intelligent Transportation Systems
This contribution is embedded into the challenge of track fault localization with low-cost hardware. For precise localization on the track, with an accuracy of a few decimeters for separating overlapping errors, a high resolution trajectory is needed and
R. Frolow, L. Zhang, V. Schwieger
doaj   +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

Road Adhesion Coefficient Estimation Method for Distributed Drive Electric Vehicles Based on SR-UKF

Vehicles
To improve recognition accuracy, convergence speed, and numerical stability in estimating the road adhesion coefficient for distributed-drive electric vehicles, a nonlinear seven-degree-of-freedom vehicle dynamics model was developed based on a modified ...
Jinhui Li, Xinyu Wei, Hui Peng
doaj   +1 more source

A New Adaptive Square-Root Unscented Kalman Filter for Nonlinear Systems with Additive Noise

International Journal of Aerospace Engineering, 2015
The Kalman filter (KF), extended KF, and unscented KF all lack a self-adaptive capacity to deal with system noise. This paper describes a new adaptive filtering approach for nonlinear systems with additive noise.
Yong Zhou, Chao Zhang, Yufeng Zhang, Juzhong Zhang   +3 more
doaj   +1 more source