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State of charge estimator for NiMH batteries

Proceedings of the 41st IEEE Conference on Decision and Control, 2002., 2003
A state of charge estimator for Nickel-Metal Hydride batteries, suitable for hybrid vehicles automotive applications, is proposed. The estimator is based on a statespace dynamic model of the battery which is obtained by modeling the kinetic of reactions and the diffusion phenomena.
Barbarisi O   +4 more
openaire   +2 more sources

State of charge estimation for electrical vehicle batteries

2008 IEEE International Conference on Control Applications, 2008
Lithium ion batteries play an increasingly important role as high-rate transient power sources for hybrid electric vehicles, cycling around a relatively fixed state of charge (SOC). A crucial step in enhancing the performance of these batteries is the estimation of the state of charge as a function of the load.
Shriram Santhanagopalan, Ralph E. White
openaire   +1 more source

State of charge estimation and battery balancing control

2015 54th IEEE Conference on Decision and Control (CDC), 2015
In this paper, we propose an algorithm to solve the balancing problem of multi-cell battery systems consisting in the equalization of all cells state of charge (SoC). A nonlinear cell model is presented and experimental LiFePO4 battery cell parameters are used.
Andre Abido Figueiro   +2 more
openaire   +1 more source

Adaptive state of charge (SOC) estimator for a battery

2006 American Control Conference, 2006
This work proposes an adaptive least-squares estimation strategy to determine the state of charge (SOC) for an electro-chemical battery. An estimation analysis is presented which proves that under a set of qualifying conditions, that the SOC of the battery can be estimated.
Michael L. McIntyre   +3 more
openaire   +1 more source

On battery State of Charge estimation: A new mixed algorithm

2008 IEEE International Conference on Control Applications, 2008
A new SoC estimation algorithm is presented. The estimation is performed mixing the Coulomb-Counting and the Model-Based estimation approaches. The algorithm was tested on a brand new lithium-ion cell which use a nanoscale technology able to grant a more powerful and safer lithium-ion battery than the batteries currently on the market. The cell, called
CODECÀ F   +2 more
openaire   +2 more sources

Charge State Estimation for Tandem MassSpectrometry Proteomics

OMICS: A Journal of Integrative Biology, 2005
High-throughput protein analysis by tandem mass spectrometry produces anywhere from thousands to millions of spectra that are being used for peptide and protein identifications. Though each spectrum corresponds only to one charged peptide (ion) state, repetitive database searches of multiple charge states are typically conducted since the resolution of
Jason M, Hogan   +3 more
openaire   +2 more sources

Combination Algorithm for State of Charge Estimation

2013 International Conference on Communication Systems and Network Technologies, 2013
When using the Ah counting method to estimate state of charge of battery on electric vehicle, it is difficult to measure the initial SOC, and will bring accumulated errors. In order to solve the above problem, we design an algorithm which integrates the open circuit voltage method (OCV), Kalman filter (KF) and Ah counting method (Ah) in this paper ...
null Bo Zhang   +2 more
openaire   +1 more source

State and state of charge estimation for a latent heat storage

Control Engineering Practice, 2018
Abstract A nonlinear state observer is designed for a thermal energy storage with solid/liquid phase change material (PCM). Using a physical 2D dynamic model, the observer reconstructs transient spatial temperature fields inside the storage and estimates the stored energy and the state of charge.
Tilman Barz   +6 more
openaire   +1 more source

Li-ion battery parameter estimation for state of charge

Proceedings of the 2011 American Control Conference, 2011
Battery state of charge (SOC) is a critical parameter for the control of propulsion systems in plug-in hybrid electric vehicles (PHEV) and electric vehicles (EV). As SOC is not measureable during vehicle operation, an onboard adaptive algorithm is developed in this paper.
Xidong Tang   +3 more
openaire   +1 more source

A new method to estimate the state of charge of the green battery

Microelectronics Reliability, 2017
Abstract Green batteries have attracted great attention due to the characteristics of its high performance and non-pollution. In order to understand the working condition of the batteries and get a better estimation effect on the state of charge (SoC), the following works had been done in NMC18650 lithium ion battery.
Ling-Ling Li 0001   +3 more
openaire   +1 more source

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