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Mechanistically guided residual learning for battery state monitoring throughout life. [PDF]
Che Y +6 more
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Uncertainty aware hybrid learning framework for fast and safe charging of lithium-ion batteries using multi-fidelity observers. [PDF]
Parimala CHH +5 more
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Estimation of State of Charge of Battery
2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), 2021Most common man would think Electric Vehicles are the future, but it is not, Electric Vehicles are here and as we push importance of green energy in the present world EVs are becoming the best choice for environment. And most important thing in Electric Vehicles is Battery Management System (BMS). Our proposed work is helpful in selecting more suitable
Mohanapriya V +5 more
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Battery state-of-charge estimation
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001This paper discusses the problem of lead acid battery state-of-charge estimation for (hybrid) electric vehicles. The problem is to accurately estimate the remaining battery capacity for both driver notification and automated energy management. The article presents a review of the problem, existing solution methods, presentation of a new solution method,
Shuo Pang +3 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 ...
John N. Chiasson, Baskar Vairamohan
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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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2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI), 2021
Accurate state-of-Charge (SOC) estimation of supercapacitor is very crucial for real-time energy management and control of the energy storage device. This paper deals with performance comparison and analysis of the two most commonly used SOC estimators, namely Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) for remaining charge ...
Saha, Manika +2 more
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Accurate state-of-Charge (SOC) estimation of supercapacitor is very crucial for real-time energy management and control of the energy storage device. This paper deals with performance comparison and analysis of the two most commonly used SOC estimators, namely Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) for remaining charge ...
Saha, Manika +2 more
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State of charge estimation for electrical vehicle batteries
2008 IEEE International Conference on Control Applications, 2008Lithium 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
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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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