Journal ArticleDOI
State of charge estimation for electric vehicle batteries using unscented kalman filtering
TLDR
A model to simulate battery terminal voltage as a function of state of charge under dynamic loading conditions is developed, tailored on-line in order to estimate uncertainty arising from unit-to-unit variations and loading condition changes.About:
This article is published in Microelectronics Reliability.The article was published on 2013-06-01. It has received 295 citations till now. The article focuses on the topics: State of charge & Electric vehicle.read more
Citations
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Journal ArticleDOI
A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
TL;DR: In this article, a comprehensive review of the battery state of charge estimation and its management system for the sustainable future electric vehicles (EVs) applications is presented, which can guarantee a reliable and safe operation and assess the battery SOC.
Journal ArticleDOI
Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries
Fangdan Zheng,Fangdan Zheng,Yinjiao Xing,Jiuchun Jiang,Bingxiang Sun,Jonghoon Kim,Michael Pecht +6 more
TL;DR: In this article, two battery state of charge (SOC) estimators are compared and evaluated in terms of tracking accuracy, convergence time, and robustness for online estimating battery SOC.
Journal ArticleDOI
A comprehensive review on estimation strategies used in hybrid and battery electric vehicles
Mehmet Ugras Cuma,Tahsin Koroglu +1 more
TL;DR: In this article, the authors present a comprehensive review on various estimation strategies used in hybrid and battery electric vehicles for the first time in the literature, and different methodologies used in each estimation strategy are elaborated.
Journal ArticleDOI
Lessons Learned from the 787 Dreamliner Issue on Lithium-Ion Battery Reliability
TL;DR: In this paper, the challenges to lithium-ion battery qualification, reliability assessment, and safety in light of the Boeing 787 battery failures are discussed, and new assessment methods and control techniques that can improve battery reliability and safety are presented.
Journal ArticleDOI
Towards a Smarter Battery Management System for Electric Vehicle Applications: A Critical Review of Lithium-Ion Battery State of Charge Estimation
Muhammad Umair Ali,Amad Zafar,Sarvar Hussain Nengroo,Sadam Hussain,Muhammad Junaid Alvi,Hee-Je Kim +5 more
TL;DR: In this paper, Li-ion batteries have attracted considerable attention in the EV industry owing to their high energy density, lifespan, nominal voltage, power density, and cost, and a smart battery management system is one of the essential components; it not only measures the states of battery accurately, but also ensures safe operation and prolongs the battery life.
References
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Journal ArticleDOI
Detection of satellite attitude sensor faults using the UKF
K. Xiong,C.W. Chan,H. Y. Zhang +2 more
TL;DR: In this article, a fault detection method for nonlinear systems using the residuals generated by the unscented Kalman filter (UKF) is proposed and sufficient conditions for the convergence of the UKF are presented.
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Fault diagnosis and accommodation of nonlinear systems based on multiple-model adaptive unscented Kalman filter and switched MPC and H-infinity loop-shaping controller
Amin Mirzaee,Karim Salahshoor +1 more
TL;DR: In this article, a new active fault tolerant control (AFTC) methodology is proposed based on a state estimation scheme for fault detection and identification (FDI) to deal with the potential problems due to possible fault scenarios.
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Estimation of battery state-of-charge using ν-support vector regression algorithm
TL;DR: A support vector regression algorithm (SVR), which has good nonlinear approximation ability, a quick convergence rate and global optimal solution, is proposed to estimate the battery SOC, and results show that, compared to the BP neural network algorithm, the ν-Support Vector Regression algorithm performs better in estimating the Battery SOC.
Journal ArticleDOI
Prognostics-based risk mitigation for telecom equipment under free air cooling conditions
TL;DR: In this article, the authors identify the performance and reliability risks associated with the implementation of free air cooling and develop a prognostics-based approach to assess and mitigate the risks of telecom equipment under free-air cooling conditions.
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Robust State of Charge Estimation for Hybrid Electric Vehicles: Framework and Algorithms
TL;DR: In this article, the authors proposed a framework consisting of an adaptive-κ nonlinear diffusion filter to reduce the noise in current measurement, a self-learning strategy to estimate and remove the zero-drift, a coulomb counting algorithm to realize open-loop SoC estimation, an H∞ filter to implement closed-loop robust estimation, and a data fusion unite to achieve the final estimation by integrating the advantages of the two SoC estimators.