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State of charge estimator for NiMH batteries
Proceedings of the 41st IEEE Conference on Decision and Control, 2002., 2003A 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
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Li-Ion state of charge estimation methods
2014 22nd Telecommunications Forum Telfor (TELFOR), 2014The goal of this paper is to describe the key methods for state of charge estimation. The presented techniques are current counting method, open circuit voltage and battery internal resistance method. This paper describes these methods and compares their accuracy.
Petr Kribsky +3 more
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Combination Algorithm for State of Charge Estimation
2013 International Conference on Communication Systems and Network Technologies, 2013When 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
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Review of Battery State-of-Charge Estimation Algorithms
2021State of charge (SOC) is an important parameter used by a battery management system (BMS). Accurate and robust algorithms ensure the safe and reliable functioning of cells or batteries. Thus far, the algorithms developed depend mainly on the current and voltage data received from individual cells or the entire battery.
Kaustubh Kaushik +2 more
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EV battery state of charge: neural network based estimation
IEEE International Electric Machines and Drives Conference, 2003. IEMDC'03., 2003Different electric vehicles (EV) types have been developed with the aim of solving pollution problems caused by the emission of gasoline-powered engines. Environmental considerations promote the adoption of EV for urban transportation. As it is well known one of the weakest points of electric vehicle is the battery system.
A. Affanni +5 more
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Estimating the state of charge of a battery
IEEE Transactions on Control Systems Technology, 2004This brief considers the state of charge (SOC) estimation problem for electrochemical batteries. Using an electric circuit model of the battery given in the literature, it is shown how the open-circuit voltage (which is directly related to the SOC) can be estimated based on the terminal voltage and current measurements provided there is sufficient ...
J. Chiasson, B. Vairamohan
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Robust optimal estimation over networks: Application to battery state of charge estimation
International Journal of Robust and Nonlinear Control, 2015SummaryIn this paper, we provide a general framework for robust optimal estimation over a lossy and delayed network. A threshold principle is introduced to integrate network‐induced uncertainties into packet losses, which are modeled with a Bernoulli process.
Zhang, Yiming +2 more
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State of Charge Estimator Design for a Gas Charged Hydraulic Accumulator
Journal of Dynamic Systems, Measurement, and Control, 2015The gas charged hydraulic accumulators under consideration are used as energy storage devices in automotive hydraulic hybrid systems. The knowledge of the state of charge (SOC) is of utmost importance for an efficient energy management of the hybrid drive-train. Since the direct measurement of the SOC is difficult and costly, an SOC estimator design is
Andreas Pfeffer +3 more
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State of charge estimation and battery balancing control
2015 54th IEEE Conference on Decision and Control (CDC), 2015In 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
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Quantum neural network for State of Charge estimation
2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE), 2014State of Charge (SoC) estimation is one of the most important parts of Battery Management System (BMS). Inaccurate estimation of SoC may cause overcharge or overdischarge which could lead permanent damage to battery cells. Neural Network (NN) models can yield quite accurate SoC estimation. However, the computation effort is also quite huge and it takes
Kevin Gausultan Hadith Mangunkusumo +5 more
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