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
TLDR
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.About:Â
This article is published in Applied Energy.The article was published on 2016-12-01. It has received 299 citations till now. The article focuses on the topics: State of charge & Estimator.read more
Citations
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Journal ArticleDOI
State estimation for advanced battery management: Key challenges and future trends
TL;DR: This paper presents a concise, understandable overview of existing methods, key issues, technical challenges, and future trends of the battery state estimation domain, for the first time, in SOC/SOE/SOH/SOP/SOT/SOS estimation.
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.
Journal ArticleDOI
A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter
TL;DR: In this paper, the open circuit voltage (OCV) is used for accurate state of charge (SoC) estimation of LiFePO4 batteries in electric vehicles (EVs).
Journal ArticleDOI
Neural Network Approach for Estimating State of Charge of Lithium-Ion Battery Using Backtracking Search Algorithm
Mahammad A. Hannan,Molla Shahadat Hossain Lipu,Aini Hussain,Mohamad Hanif Md Saad,Afida Ayob +4 more
TL;DR: The obtained results show that the BPNN based BSA model outperforms other neural network models in estimating SOC with high accuracy under different EV profiles and temperatures.
Journal ArticleDOI
State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles
TL;DR: In this paper, Li et al. focused on battery state estimation and its issues and challenges by exploring different existing estimation methodologies, such as adaptive filter algorithm, learning algorithm, nonlinear observer, and hybrid method.
References
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Journal ArticleDOI
A review on the key issues for lithium-ion battery management in electric vehicles
TL;DR: In this article, a brief introduction to the composition of the battery management system (BMS) and its key issues such as battery cell voltage measurement, battery states estimation, battery uniformity and equalization, battery fault diagnosis and so on, is given.
Journal ArticleDOI
Lithium-ion batteries. A look into the future
TL;DR: A critical overview of the latest developments in the lithium ion batteries technology is reported in this paper, where the focus is on the electrode materials presently considered the most promising for enhancing the energy density of the batteries.
Journal ArticleDOI
Accurate electrical battery model capable of predicting runtime and I-V performance
Min Chen,Gabriel A. Rincon-Mora +1 more
TL;DR: An accurate, intuitive, and comprehensive electrical battery model is proposed and implemented in a Cadence environment that accounts for all dynamic characteristics of the battery, from nonlinear open-circuit voltage, current-, temperature-, cycle number-, and storage time-dependent capacity to transient response.
Journal ArticleDOI
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification
TL;DR: In this article, an extended Kalman filter (EKF) was used to estimate the battery state of charge, power fade, capacity fade, and instantaneous available power of a hybrid electric vehicle battery pack.
Journal ArticleDOI
Methods for state-of-charge determination and their applications
TL;DR: In this article, the authors introduce commonly used methods for state-of-charge (SOC) determination and establish a relationship between the advantages of different methods and the most common applications.