Results 71 to 80 of about 153,055 (297)
A Review of Battery State of Health Estimation Methods: Hybrid Electric Vehicle Challenges
World Electric Vehicle Journal, 2020 To cope with the new transportation challenges and to ensure the safety and durability of electric vehicles and hybrid electric vehicles, high performance and reliable battery health management systems are required.
Nassim Noura, Loïc Boulon, Samir Jemeï
doaj +1 more source
Distributed Recursive Least-Squares: Stability and Performance Analysis
, 2011 The recursive least-squares (RLS) algorithm has well-documented merits for reducing complexity and storage requirements, when it comes to online estimation of stationary signals as well as for tracking slowly-varying nonstationary processes.
Giannakis, Georgios B., Mateos, Gonzalo
core +1 more source
A robust M-estimate adaptive equaliser for impulse noise suppression [PDF]
, 1999 In this paper, a FIR adaptive equaliser for impulse noise suppression is proposed. It is based on the minimization of an M-estimate objective function which has the ability to ignore or down-weight a large error signal when it exceeds certain thresholds.
Chan, SC, Ng, TS, Zou, Y
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Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Large-scale wave-front reconstruction for adaptive optics systems by use of a recursive filtering algorithm [PDF]
, 2005 We propose a new recursive filtering algorithm for wave-front reconstruction in a large-scale adaptive optics system. An embedding step is used in this recursive filtering algorithm to permit fast methods to be used for wave-front reconstruction on an ...
Britton, Matthew +2 more
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Advanced Intelligent Systems, EarlyView.: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu +9 more
wiley +1 more source
Energies, 2018 The model parameters of the lithium-ion battery are of great importance to model-based battery state estimation methods. The fact that parameters change in different rates with operation temperature, state of charge (SOC), state of health (SOH) and other
Bizhong Xia +8 more
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Intelligent Two-Step Estimation Approach for Vehicle Mass and Road Grade
IEEE Access, 2020 Vehicle mass and road grade information is important to improve the control capability and further intellectualization of vehicles. With the aim of real-time estimation of mass and grade without additional sensors, a two-step estimator is proposed in ...
Xuebo Li, Jian Ma, Xuan Zhao, Lu Wang
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An adaptive state of charge estimator for lithium‐ion batteries
Energy Science & Engineering, 2022 This study presents a data‐driven approach in conjunction with an adaptive extended Kalman filter (AEKF) to estimate lithium‐ion batteries' state of charge (SOC) online. The Thevenin battery model is used to evaluate the effects using battery voltage and
Muhammad U. Ali +7 more
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Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies
, 2017 The goal of this paper is to propose novel strategies for adaptive learning of signals defined over graphs, which are observed over a (randomly time-varying) subset of vertices.
Banelli, Paolo +4 more
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