Results 11 to 20 of about 77,751 (310)
State-of-Charge estimation algorithms and their implications on cells in parallel [PDF]
2014 IEEE International Electric Vehicle Conference (IEVC), 2014 State-of-Charge (SOC) of a battery is one of the most important parameters used by a Battery Management System (BMS). It is subsequently very important for the efficient functioning of an electric/hybrid vehicle. Since, the SOC is a derived quantity, it is important that the algorithm, on which the estimator is based, is robust and accurate.
Tripathy, Yashraj +4 more
openaire +2 more sources
Adaptive estimation of state of charge for lithium-ion batteries [PDF]
2013 American Control Conference, 2013 State of charge (SoC) estimation is a fundamental challenge in designing battery management systems. An adaptive SoC estimator, named as the AdaptSoC, is developed in this paper. It is able to estimate the SoC when the model parameters are unknown, through joint SoC and parameter estimation.
Huazhen Fang +4 more
openaire +2 more sources
A Virtual Sensor for Electric Vehicles’ State of Charge Estimation [PDF]
Electronics, 2020 The estimation of the state of charge is a critical function in the operation of electric vehicles. The battery management system must provide accurate information about the battery state, even in the presence of failures in the vehicle sensors. This article presents a new methodology for the state of charge estimation (SOC) in electric vehicles ...
Giambattista Gruosso +4 more
openaire +4 more sources
State-of-charge estimation for batteries: A multi-model approach [PDF]
2014 American Control Conference, 2014 Monitoring the state-of-charge (SoC) for batteries is challenging, especially when a battery has time-varying parameters. We propose to improve SoC estimation using an adaptive strategy and multiple models in this study, developing a unique algorithm called MM-AdaSoC.
Huazhen Fang +6 more
openaire +2 more sources
Charge State Estimation of Power Battery Based on CARMA Model
Kongzhi Yu Xinxi Jishu, 2020 In order to perfect main functions of electric vehicle battery management system, this paper aims to realize accurate battery modeling and state of charge(SOC) estimation. In this paper, based on the second-order RC equivalent circuit model, a controlled
HUANG Yusha +4 more
doaj +2 more sources
SoC Estimation in Lithium-Ion Batteries with Noisy Measurements and Absence of Excitation
Batteries, 2023 Accurate State-of-Charge estimation is crucial for applications that utilise lithium-ion batteries. In real-time scenarios, battery models tend to present significant uncertainty, making it desirable to jointly estimate both the State of Charge and ...
Miquel Martí-Florences +3 more
doaj +1 more source
Energies, 2017 An accurate state of charge (SOC) estimation is the basis of the Battery Management System (BMS). In this paper, a new estimation method which considers fractional calculus is proposed to estimate the lithium battery state of charge.
Yixing Chen +5 more
doaj +1 more source
Design of a Robust Unknown Input Observer for the State of Charge Estimation for Lithium-Ion Batteries [PDF]
Advances in Engineering and Intelligence Systems, 2023 The robustness of an observer against model uncertainties is a main challenge during the Lithiumion battery state of charge (SoC) estimation. Also, for large-scale applications such as electric vehicles, disturbances in measurement may increase the SoC ...
Omid Rezaei, Mohammadali Faghih
doaj +1 more source
Quadrature Kalman filter–based state of charge estimation for lithium-ion battery
Advances in Mechanical Engineering, 2020 This article presents an approach to lithium-ion battery state of charge estimation based on the quadrature Kalman filter. Among the existing state of charge estimation approaches, the extended Kalman filter–based state of charge and unscented filter ...
Mengtao Huang +4 more
doaj +1 more source
A Comparative study on state of charge estimation techniques for Lithium-ion Batteries
, 2021 State of Charge (SOC) estimation is significantly important for the optimal utilization and protection of batteries. This paper implements and compares the performance of a neural network (NN) algorithm and Coulomb Counting method for estimating state of
Kaveh Khalilpour +5 more
core +1 more source