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Long Zhou, Xin Lai, Bin Li, Yi Yao, Ming Yuan, Jiahui Weng and Yuejiu Zheng
The state estimation technology of lithium-ion batteries is one of the core functions elements of the battery management system (BMS), and it is an academic hotspot related to the functionality and safety of the battery for electric vehicles. This paper ...
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Shiwei Xia, Qian Zhang, Jiangping Jing, Zhaohao Ding, Jing Yu, Bing Chen and Haiwei Wu
Effective state estimation is critical to the security operation of power systems. With the rapid expansion of interconnected power grids, there are limitations of conventional centralized state estimation methods in terms of heavy and unbalanced communi...
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Yan Huang and Lin Feng
The popularization of electricity-gas systems leads to increasing demand for state management of systems. However, the existence of neglected measurement correlations brings uncertainties to the electricity-gas systems state estimation. In this paper, an...
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Tomasz Okon and Kazimierz Wilkosz
The paper concerns the estimation of the state of a power system in which there is a phase shifter called a quadrature booster. The aim of the paper is a comparative analysis of two different cases including the quadrature booster in the state estimation...
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Peter Kurzweil, Bernhard Frenzel and Wolfgang Scheuerpflug
Differential capacity dQ/dU (capacitance) can be used for the instant diagnosis of battery performance in common constant current applications. A novel criterion allows state-of-charge (SOC) and state-of-health (SOH) monitoring of lithium-ion batteries d...
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Xingtao Liu, Chaoyi Zheng, Ji Wu, Jinhao Meng, Daniel-Ioan Stroe and Jiajia Chen
In this paper, an improved method for estimating the state of charge (SOC) of lithium-ion batteries is proposed, which is developed from the particle filter (PF). An improved genetic particle filter (GPF), owing to the advantages of the PF and genetic al...
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Ning Ding, Krishnamachar Prasad, Tek Tjing Lie and Jinhui Cui
The battery State of Charge (SoC) estimation is one of the basic and significant functions for Battery Management System (BMS) in Electric Vehicles (EVs). The SoC is the key to interoperability of various modules and cannot be measured directly. An impro...
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Tianpu Dong, Fujun Zhang, Bolan Liu and Xiaohui An
This paper describes a method for the control of transient exhaust gas recirculation (EGR) systems. Firstly, a state space model of the air system is developed by simplifying a mean value model. The state space model is linearized by using linearization ...
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Martie van der Vlist, Luc Wismans, Paul van Beek, Leon Suijs
Pág. 3370 - 3379
Approximately 25 per cent of all congestion on motorways is caused by incidents. By virtual patrolling, incidents e.g. queues, accidents and car breakdowns on a road network, can be predicted or detected in an early stage. This early detection and predic...
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Mehdi Ganjkhani, Seyedeh Narjes Fallah, Sobhan Badakhshan, Shahaboddin Shamshirband and Kwok-wing Chau
This paper provides a novel bad data detection processor to identify false data injection attacks (FDIAs) on the power system state estimation. The attackers are able to alter the result of the state estimation virtually intending to change the result of...
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This paper provides a novel bad data detection processor to identify false data injection attacks (FDIAs) on the power system state estimation. The attackers are able to alter the result of the state estimation virtually intending to change the result of...
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José Francisco Lima, Fernanda Catarina Pereira, Arminda Manuela Gonçalves and Marco Costa
Linear models, seasonal autoregressive integrated moving average (SARIMA) models, and state-space models have been widely adopted to model and forecast economic data. While modeling using linear models and SARIMA models is well established in the literat...
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Panagiotis Eleftheriadis, Spyridon Giazitzis, Sonia Leva and Emanuele Ogliari
In recent years, there has been a noticeable shift towards electric mobility and an increasing emphasis on integrating renewable energy sources. Consequently, batteries and their management have been prominent in this context. A vital aspect of the BMS r...
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Haibo Huo, Jiajie Chen, Ke Wang, Fang Wang, Guangzhe Jin and Fengxiang Chen
Too high or too low water content in the proton exchange membrane (PEM) will affect the output performance of the proton exchange membrane fuel cell (PEMFC) and shorten its service life. In this paper, the mathematical mechanisms of cathode mass flow, an...
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Yue Yu, Jiahui Guo and Zhaoyang Jin
As the penetration rate of distributed generators (DG) in active distribution networks (ADNs) gradually increases, it is necessary to accurately estimate the operating state of the ADNs to ensure their safe and stable operation. However, the high randomn...
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Yunji Li, Wenzhuo Zhou and Yajun Wu
This paper investigates an event-triggered framework for addressing fault estimation and fault tolerance issues in discrete-time cyber-physical systems (CPSs) with partial state saturations and random false data injection attacks (FDIAs). A stochastic va...
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Ning Wang, Buhao Zhang, Jian Gu, Huahua Kong, Song Hu and Shengchao Lu
The road traffic state is usually analyzed from a temporal and macroscopic perspective; however, traffic flow parameters, such as density and spacing, can explain the evolution of traffic states from the microscopic perspective and the spatial distributi...
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Shijun Chen, Xin Xiong, Yuanqiao Wen, Jiaxin Jian and Yamin Huang
With the development of emerging techniques, maritime autonomous surface ships (MASS) have attracted much attention, and the remote control ships? future seems promising. However, due to communication issues, ship?shore transmission faces the challenge o...
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Haichao Wang, Yong Yin and Qianfeng Jing
Accurate positioning and state estimation of surface vessels are prerequisites to achieving autonomous navigation. Recently, the rapid development of 3D LiDARs has promoted the autonomy of both land and aerial vehicles, which has aroused the interest of ...
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Michael Theiler, Dominik Schneider and Christian Endisch
The battery system is one of the most-important, but also -critical components in the electric power-train. The battery?s system states and parameters are commonly tracked by the battery monitoring system. However, in reality, the accuracy of the state a...
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