State of Charge Estimation Method of Lead-Acid Battery Based on Multi-parameter Fusion

Dynamic Behavior of a Lead-Acid Battery based on State of Charge Estimation

10.1109/irec52758.2021.9624735 ◽

2021 ◽

Author(s):

Abdelkader Abbassi ◽

Rached Ben Mehrez ◽

Rabeh Abbassi

Keyword(s):

Dynamic Behavior ◽

State Of Charge ◽

Lead Acid Battery ◽

2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) ◽

Advanced lead-acid battery models for the state-of-charge estimation in an isolated microgrid

10.1109/chilecon47746.2019.8987985 ◽

2019 ◽

Author(s):

T. Roje ◽

A. Navas ◽

M. Urrutia ◽

P. Mendoza-Araya ◽

G. Jimenez-Estevez

Keyword(s):

The State ◽

State Of Charge ◽

Lead Acid Battery ◽

2021 8th International Conference on Electrical and Electronics Engineering (ICEEE) ◽

The Application of Kalman Filter for Lead-Acid Battery State of Charge Estimation

10.1109/iceee52452.2021.9415925 ◽

2021 ◽

Author(s):

Sercan Cagdas Tekkok ◽

Bekir Bostanci ◽

Mehmet Emre Soyunmez ◽

Pinar Oguz Ekim

Keyword(s):

Kalman Filter ◽

State Of Charge ◽

Lead Acid Battery ◽

Battery State Of Charge ◽

Fractional system identification for lead acid battery state of charge estimation

Signal Processing ◽

10.1016/j.sigpro.2006.02.030 ◽

2006 ◽

Vol 86 (10) ◽

pp. 2645-2657 ◽

Cited By ~ 190

Author(s):

Jocelyn Sabatier ◽

Mohamed Aoun ◽

Alain Oustaloup ◽

Gilles Grégoire ◽

Franck Ragot ◽

...

Keyword(s):

System Identification ◽

State Of Charge ◽

Lead Acid Battery ◽

Battery State Of Charge ◽

Fractional System ◽

2020 International Seminar on Intelligent Technology and Its Applications (ISITIA) ◽

Real Time State of Charge Estimation for Lead Acid Battery Using Artificial Neural Network

10.1109/isitia49792.2020.9163692 ◽

2020 ◽

Author(s):

Gilang Andaru Trinandana ◽

Aldi Wihawan Pratama ◽

Eka Prasetyono ◽

Dimas Okky Anggriawan

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Real Time ◽

State Of Charge ◽

Lead Acid Battery ◽

Artificial Neural ◽

State of charge estimation of lead acid battery using a Kalman filter

2017 14th International Multi-Conference on Systems, Signals & Devices (SSD) ◽

10.1109/ssd.2017.8167026 ◽

2017 ◽

Cited By ~ 1

Author(s):

Jihen Loukil ◽

Ferdaous Masmoudi ◽

Nabil Derbel

Keyword(s):

Kalman Filter ◽

State Of Charge ◽

Lead Acid Battery ◽

2014 International Conference on Electrical Engineering and Computer Science (ICEECS) ◽

State of charge estimation for a lead-acid battery using backpropagation neural network method

10.1109/iceecs.2014.7045261 ◽

2014 ◽

Cited By ~ 4

Author(s):

F. Husnayain ◽

A. R. Utomo ◽

P S. Priambodo

Keyword(s):

Neural Network ◽

State Of Charge ◽

Lead Acid Battery ◽

Backpropagation Neural Network ◽

Neural Network Method ◽

Network Method ◽

2016 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC) ◽

A new state of charge estimation algorithm for lead acid battery

10.1109/iccpeic.2016.7557252 ◽

2016 ◽

Cited By ~ 2

Author(s):

R. Santhanapoongodi ◽

V. Rajini

Keyword(s):

Estimation Algorithm ◽

State Of Charge ◽

Lead Acid Battery ◽

State of charge estimation based on adaptive algorithm for Lead-Acid battery

Indonesian Journal of Electrical Engineering and Informatics (IJEEI) ◽

10.52549/ijeei.v7i2.1002 ◽

2019 ◽

Vol 7 (2) ◽

Author(s):

Maamar Souaihia ◽

Bachir Belmadani ◽

Rachid Taleb

Keyword(s):

Adaptive Algorithm ◽

State Of Charge ◽

Lead Acid Battery ◽

Volume 1: Adaptive Control; Advanced Vehicle Propulsion Systems; Aerospace Systems; Autonomous Systems; Battery Modeling; Biochemical Systems; Control Over Networks; Control Systems Design; Cooperativ ◽

Model-Based State-of-Charge Estimation for a Valve-Regulated Lead-Acid Battery

10.1115/dscc2012-movic2012-8540 ◽

2012 ◽

Author(s):

Zheng Shen ◽

Christopher D. Rahn

Keyword(s):

State Of Charge ◽

Lead Acid Battery ◽

Model Based ◽