Comparative Research on RC Equivalent Circuit Models for Lithium-Ion Batteries of Electric Vehicles
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TLDR
In this article, the authors compared the performance of the first-order RC model and second-order resistor-capacitor (RC) model in real-time battery management systems.Abstract:
Equivalent circuit models are a hot research topic in the field of lithium-ion batteries for electric vehicles, and scholars have proposed a variety of equivalent circuit models, from simple to complex. On one hand, a simple model cannot simulate the dynamic characteristics of batteries; on the other hand, it is difficult to apply a complex model to a real-time system. At present, there are few systematic comparative studies on equivalent circuit models of lithium-ion batteries. The representative first-order resistor-capacitor (RC) model and second-order RC model commonly used in the literature are studied comparatively in this paper. Firstly, the parameters of the two models are identified experimentally; secondly, the simulation model is built in Matlab/Simulink environment, and finally the output precision of these two models is verified by the actual data. The results show that in the constant current condition, the maximum error of the first-order RC model is 1.65% and the maximum error for the second-order RC model is 1.22%. In urban dynamometer driving schedule (UDDS) condition, the maximum error of the first-order RC model is 1.88%, and for the second-order RC model the maximum error is 1.69%. This is of great instructional significance to the application in practical battery management systems for the equivalent circuit model of lithium-ion batteries of electric vehicles.read more
Citations
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Quantifying the factors limiting rate-performance in battery electrodes
Ruiyuan Tian,Sang-Hoon Park,Paul J. King,Graeme Cunningham,João Coelho,Valeria Nicolosi,Jonathan N. Coleman +6 more
TL;DR: In this article, the authors demonstrate an equation which can fit capacity versus rate data, outputting three parameters which fully describe rate performance, including the characteristic time associated with charge/discharge, which can be linked by a second equation to physical electrode/electrolyte parameters via various ratelimiting processes.
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Adaptive sliding mode observers for lithium-ion battery state estimation based on parameters identified online
TL;DR: The results indicate that:1) parameters estimated online are accurate, 2) the absolute error of state of charge is less than 2%, 3) the estimated lithium-ion battery capacity could converge to the actual value with small capacity error.
Journal ArticleDOI
Comparative Study of Equivalent Circuit Models Performance in Four Common Lithium-Ion Batteries: LFP, NMC, LMO, NCA
TL;DR: In this article, the performance of three different ECMs (1RC, 2RC, and 1RC with hysteresis) on four Li-ion battery chemistries (LFP, NMC, LMO, and NCA) was investigated.
Journal ArticleDOI
Quantifying the factors limiting rate-performance in battery electrodes.
Ruiyuan Tian,Sang-Hoon Park,Paul J. King,Graeme Cunningham,João Coelho,Valeria Nicolosi,Jonathan N. Coleman +6 more
TL;DR: The authors employ a semi-empirical method to fit published battery capacity-rate data to extract the characteristic time associated with charge/discharge, consistent with a physical model that can be used to link rate performance to the physical properties of electrodes.
Journal ArticleDOI
Review on Health Management System for Lithium-Ion Batteries of Electric Vehicles
TL;DR: In this article, a review of battery management system (BMS), opportunities, and challenges, and a future research agenda on battery health management is provided. But, the focus of this paper is on the management of battery health systems.
References
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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.
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A comprehensive review of lithium-ion batteries used in hybrid and electric vehicles at cold temperatures
TL;DR: In this paper, the effects of cold temperatures on the capacity/power fade of Li-ion battery technology are discussed, along with thermal strategies and the ideal approach to cold-temperature operation.
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Review of energy storage systems for electric vehicle applications: Issues and challenges
TL;DR: In this paper, the authors comprehensively review technologies of ESSs, its classifications, characteristics, constructions, electricity conversion, and evaluation processes with advantages and disadvantages for EV applications.
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Algorithms for Advanced Battery-Management Systems
TL;DR: In this paper, the authors present a detailed description and model of a Li-ion battery, which is based on using electrochemical principles to develop a physics-based model in contrast to equivalent circuit models.
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State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation
TL;DR: In this paper, a special purpose model deduced from an equivalent circuit is developed, which contains parameters depending on the degradation of the battery cell, and a degradation index is calculated by compensating other influences, e.g. battery temperature.
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