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A brief review on key technologies in the battery management system of electric vehicles

Kailong LIU, Kang LI, Qiao PENG, Cheng ZHANG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 47-64 doi: 10.1007/s11465-018-0516-8

Abstract: high-power applications, such as electric vehicles (EVs) and hybrid electric vehicles, where a suitable batteryThis paper aims to give a brief review on several key technologies of BMS, including battery modelling, state estimation and battery charging.Various battery models, including the electric model, thermal model and coupled electro-thermal modelThen, battery state estimations for the state of charge, state of health and internal temperature are

Keywords： battery management system     battery modelling     battery state estimation     battery charging    

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An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 801-816 doi: 10.1007/s11708-020-0687-y

Abstract: estimation method are studied.Finally, a distributed state estimation framework is formed by combining the synchronous alternatingdirection multiplier method to achieve an efficient estimation of the state of the integrated energyestimation method proposed in this paper.estimation method are only 0.0132% and 0.0864%, much lower than the estimation error by using the Lagrangian

Keywords： integrated energy system     state estimation     electricity-gas coupling energy system     nonlinear coupling     distributed    

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The estimation for state of cable based on improved Weibull distribution model

Zhang Tieyan,Wang Chengmin,Sun Qiuye,Zhang Huaguang

Strategic Study of CAE 2008, Volume 10, Issue 10,   Pages 42-46

Abstract:

The estimation for state of cable is significant to state of cable managementThe famous methods for state estimation of cable are Weibull distribution model and Arrhenius method.And the Weibull distribution model is used for state estimation of cable.

Keywords： cable     state estimation     Arrhenius model     Weibull distribution    

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Machine learning and neural network supported state of health simulation and forecasting model for lithium-ionbattery

Frontiers in Energy doi: 10.1007/s11708-023-0891-7

Abstract: the stability and reliability of battery operation.state of health (SOH), focusing on the advantages and strengths of neural network (NN) methods in MLfor lithium-ion battery SOH simulation and prediction.application of NNs such as backpropagation NN, convolutional NN, and long short-term memory NN in SOH estimationreliability, stability, and robustness of lithium-ion battery management.

Keywords： machine learning     lithium-ion battery     state of health     neural network     artificial intelligence    

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Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Frontiers in Energy 2012, Volume 6, Issue 1,   Pages 47-56 doi: 10.1007/s11708-011-0159-5

Abstract: system poses a great challenge to power engineering researchers on how to best monitor and estimate the stateresults proves that the swarm tuned artificial neural network (ANN) estimator is best suited for accurate estimation

Keywords： artificial intelligence     power distribution control     state estimation    

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Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information

Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 154-167 doi: 10.1007/s11465-015-0336-z

Abstract: investigation is to develop a computational intelligence-based framework which can be used for the real-time estimationof optimum battery state-of-charge (SOC) trajectory in plug-in hybrid electric vehicles (PHEVs).

Keywords： trip information preview     intelligent transportation     state-of-charge trajectory builder     immune systems    

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Distribution system state estimation: an overview of recent developments Review Article

Gang WANG, Georgios B. GIANNAKIS, Jie CHEN, Jian SUN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 4-17 doi: 10.1631/FITEE.1800590

Abstract: manipulation of smart meter readings, all highlight the need for accurate, fast, and robust power system stateestimation (PSSE).In this study, we provide a contemporary overview of PSSE and describe the current state of the art inFinally, distribution system state estimation is discussed along with its current challenges.

Keywords： State estimation     Cramér-Rao bound     Feasible point pursuit     Semidefinite relaxation     Proximal linear algorithm    

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Co-Estimation of State of Charge and Capacity for Lithium-Ion Batteries with Multi-Stage Model Fusion Article

Rui Xiong, Ju Wang, Weixiang Shen, Jinpeng Tian, Hao Mu

Engineering 2021, Volume 7, Issue 10,   Pages 1471-1484 doi: 10.1016/j.eng.2020.10.022

Abstract: management of LIBs in electric transports for all-climate and long-life operation requires the accurate estimationof state of charge (SOC) and capacity in real-time.over a wide range of temperature show that the presented fusion algorithm can realize a high-accuracy estimation

Keywords： State of charge     Capacity estimation     Model fusion     Proportional–integral–differential observer     Hardware-in-the-loop    

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A survey of photon mapping state-of-the-art research and future challenges

Chun-meng KANG,Lu WAN,Yan-ning XU,Xiang-xu MENG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 185-199 doi: 10.1631/FITEE.1500251

Abstract: This report reviews recent work and classifies it into a set of categories including radiance estimation

Keywords： Global illumination     Photon mapping     Radiance estimation     Photon relaxation     Progressive photon mapping    

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Super Resolution Perception for Improving Data Completeness in Smart Grid State Estimation Article

Gaoqi Liang, Guolong Liu, Junhua Zhao, Yanli Liu, Jinjin Gu, Guangzhong Sun, Zhaoyang Dong

Engineering 2020, Volume 6, Issue 7,   Pages 789-800 doi: 10.1016/j.eng.2020.06.006

Abstract: estimation, which serves as a basic tool for understanding the true states of a smart grid, should beMore complete system state data are needed to support high-frequency state estimation.The data completeness problem for smart grid state estimation is therefore studied in this paper.The proposed method, namely the Super Resolution Perception Net for State Estimation (SRPNSE), consistsestimation.

Keywords： State estimation     Low-frequency data     High-frequency data     Super resolution perception     Data completeness    

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A framework for stochastic estimation of electric vehicle charging behavior for risk assessment of distribution

Salman HABIB, Muhammad Mansoor KHAN, Farukh ABBAS, Muhammad NUMAN, Yaqoob ALI, Houjun TANG, Xuhui YAN

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 298-317 doi: 10.1007/s11708-019-0648-5

Abstract: , a probabilistic model is developed to account several realistic aspects comprising charging time, batterycapacity, driving mileage, state-of-charge, traveling frequency, charging power, and time-of-use mechanism

Keywords： electric vehicles (EVs)     residential distribution networks (RDNs)     voltage unbalance factor (VUF)     state-of    

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Battery Safety: From Lithium-Ion to Solid-State Batteries

Xiqian Yu, Rusong Chen, Luyu Gan, Hong Li, Liquan Chen

Engineering 2023, Volume 21, Issue 2,   Pages 9-14 doi: 10.1016/j.eng.2022.06.022

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A multi-functional dynamic state estimator for error validation: measurement and parameter errors and Article

Mehdi AHMADI JIRDEHI,Reza HEMMATI,Vahid ABBASI,Hedayat SABOORI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11,   Pages 1218-1227 doi: 10.1631/FITEE.1500301

Abstract: A dynamic state estimation algorithm is used based on the Kalman filter theory.

Keywords： Dynamic state estimation     Kalman filter     Measurement errors     Branch parameter errors     Sudden load changes    

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Mapping the trends and prospects of battery cathode materials based on patent landscape

Frontiers in Energy   Pages 822-832 doi: 10.1007/s11708-023-0900-x

Abstract: portable electronics and electric vehicles is heavily dependent on the cutting-edge lithium-ion (Li-ion) batteryprospects of cathode materials based on patent analysis is considered a kernel to optimize and refine batteryThis paper is expected to stimulate battery research, understand technical layout of various countries

Keywords： patent analysis     cathode     batteries     technology life cycle    

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Powertrain control of a solar photovoltaic-battery powered hybrid electric vehicle

P. PADMAGIRISAN, V. SANKARANARAYANAN

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 296-306 doi: 10.1007/s11708-018-0605-8

Abstract: This paper proposes a powertrain controller for a solar photovoltaic battery powered hybrid electricThe main objective of the proposed controller is to ensure better battery management, load regulationlower level controllers are designed to perform individual tasks such as maximum power point tracking, batteryto switch between the lower level controllers based on different operating conditions such as high stateof charge, low state of charge, maximum battery current, and heavy load by respecting the constraints

Keywords： battery management system     hybrid electric vehicles (HEVs)     maximum power point tracking (MPPT)     solar photovoltaic    

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Title Author Date Type Operation

A brief review on key technologies in the battery management system of electric vehicles

Kailong LIU, Kang LI, Qiao PENG, Cheng ZHANG

Journal Article

An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Journal Article

The estimation for state of cable based on improved Weibull distribution model

Zhang Tieyan,Wang Chengmin,Sun Qiuye,Zhang Huaguang

Journal Article

Machine learning and neural network supported state of health simulation and forecasting model for lithium-ionbattery

Journal Article

Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Journal Article

Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information

Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD

Journal Article

Distribution system state estimation: an overview of recent developments

Gang WANG, Georgios B. GIANNAKIS, Jie CHEN, Jian SUN

Journal Article

Co-Estimation of State of Charge and Capacity for Lithium-Ion Batteries with Multi-Stage Model Fusion

Rui Xiong, Ju Wang, Weixiang Shen, Jinpeng Tian, Hao Mu

Journal Article

A survey of photon mapping state-of-the-art research and future challenges

Chun-meng KANG,Lu WAN,Yan-ning XU,Xiang-xu MENG

Journal Article

Super Resolution Perception for Improving Data Completeness in Smart Grid State Estimation

Gaoqi Liang, Guolong Liu, Junhua Zhao, Yanli Liu, Jinjin Gu, Guangzhong Sun, Zhaoyang Dong

Journal Article

A framework for stochastic estimation of electric vehicle charging behavior for risk assessment of distribution

Salman HABIB, Muhammad Mansoor KHAN, Farukh ABBAS, Muhammad NUMAN, Yaqoob ALI, Houjun TANG, Xuhui YAN

Journal Article

Battery Safety: From Lithium-Ion to Solid-State Batteries

Xiqian Yu, Rusong Chen, Luyu Gan, Hong Li, Liquan Chen

Journal Article

A multi-functional dynamic state estimator for error validation: measurement and parameter errors and

Mehdi AHMADI JIRDEHI,Reza HEMMATI,Vahid ABBASI,Hedayat SABOORI

Journal Article

Mapping the trends and prospects of battery cathode materials based on patent landscape

Journal Article

Powertrain control of a solar photovoltaic-battery powered hybrid electric vehicle

P. PADMAGIRISAN, V. SANKARANARAYANAN

Journal Article